diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index eca889232c..77bcd5c305 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -17,17 +17,18 @@ Closes # (if applicable).
 
 ## Checklist
 
-- [ ] Security scan(s) show no high-severity bugs, critical vulnerabilities, or exposed secrets.
-- [ ] I tested my contribution locally and it works as intended.
-- [ ] Code and workflow changes are sufficiently documented.
-- [ ] Changed dependencies are added to `pixi.toml` (using `pixi add <dependency-name>`).
-- [ ] Changes in configuration options are added in `config/config.default.yaml`.
-- [ ] Changes in configuration options are documented in `doc/configtables/*.csv`.
-- [ ] Changes in configuration options are added in `config/test/*.yaml`.
-- [ ] The multiple weather/climate years test is passing locally (using `pixi run -e open-tyndp tyndp-cyears-test`).
-- [ ] Open-TYNDP SPDX license header added to all touched files.
+**Required:**
+- [ ] Security scans show no high-severity bugs, critical vulnerabilities, or exposed secrets.
+- [ ] Changes are tested locally and behave as expected.
+- [ ] Code and workflow changes are documented.
+- [ ] A release note entry is added to `doc/release_notes.md`.
+
+**If applicable:**
+- [ ] Changes in configuration options are reflected in `scripts/lib/validation`.
+- [ ] Changes in configuration options are added to `config/test/*.yaml`.
+- [ ] Multiple climate years test passes locally (`pixi run -e open-tyndp tyndp-cyears-test`).
 - [ ] For new data sources or versions, [these instructions](https://open-tyndp.readthedocs.io/en/latest/data_sources.html) have been followed.
-- [ ] New rules are documented in the appropriate `doc/*.rst` files.
-- [ ] A release note `doc/release_notes.rst` is added.
-- [ ] Major features are documented with up-to-date information in `doc/index.rst`.
-- [ ] Module docstrings added to new Python scripts.
+- [ ] Open-TYNDP SPDX license header is added to all touched files.
+- [ ] Module docstrings are added to new Python scripts.
+- [ ] New rules are documented in the appropriate `doc/*.md` files.
+- [ ] Major features are documented in `doc/index.md`.
\ No newline at end of file
diff --git a/.github/pypsa-bot.yml b/.github/pypsa-bot.yml
new file mode 100644
index 0000000000..a835ee0fc0
--- /dev/null
+++ b/.github/pypsa-bot.yml
@@ -0,0 +1,30 @@
+tasks:
+  sync-locks:
+    triggers:
+    - "pixi.toml"
+    - "pixi.lock"
+    stage:
+    - "pixi.lock"
+    - "envs/"
+
+  generate-config:
+    triggers:
+    - "scripts/lib/validation/config/**"
+    stage:
+    - "config/"
+    - "doc/"
+    - "*.yaml"
+    - "*.yml"
+
+app:
+  trusted_users:
+  - daniel-rdt
+  runs:
+  - name: "config.validator.yaml"
+    configfile: "config/test/config.validator.yaml"
+    triggers: [main, pr]
+    cache:
+      key: "validator-{YYYY}-{MM}"
+      dirs: ["data"]
+    import_networks:
+    - "results/validation/networks/base_s_50___2050.nc"
diff --git a/.github/workflows/push-images.yaml b/.github/workflows/push-images.yaml
index 84a53d1c04..3c078130d3 100644
--- a/.github/workflows/push-images.yaml
+++ b/.github/workflows/push-images.yaml
@@ -18,9 +18,9 @@ jobs:
       with:
         fetch-depth: 0
 
-    - name: 'Get last commit that changed pixi env'
+    - name: 'Get last commit that changed pixi env or Dockerfile'
       run: |
-        hash_last_changed=$(git log -1 --pretty=format:%H -- pixi.toml pixi.lock)
+        hash_last_changed=$(git log -1 --pretty=format:%H -- pixi.toml pixi.lock docker/dev-env/Dockerfile)
         echo "hash_last_changed=$hash_last_changed" >> $GITHUB_ENV
 
     - name: 'Login to GitHub Container Registry'
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 7ccce48f42..56e62e522e 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -65,7 +65,7 @@ jobs:
     - name: Setup Pixi
       uses: prefix-dev/setup-pixi@v0.10.0
       with:
-        pixi-version: v0.59.0
+        pixi-version: v0.68.1
         cache: true
         # Do not cache in branches
         cache-write: ${{ github.event_name == 'push' && github.ref_name == 'main' }}
diff --git a/.github/workflows/security-scan.yaml b/.github/workflows/security-scan.yaml
new file mode 100644
index 0000000000..910eb8eb7e
--- /dev/null
+++ b/.github/workflows/security-scan.yaml
@@ -0,0 +1,99 @@
+name: Security scan
+on:
+  push:
+    branches: [master]
+    paths: [pixi.lock]
+  pull_request:
+    branches: [master]
+    paths: [pixi.lock]
+  schedule:
+  - cron: "0 6 * * *"
+  workflow_dispatch:
+
+jobs:
+  scan:
+    name: SBOM and vulnerability scan
+    runs-on: ubuntu-latest
+    permissions:
+      security-events: write
+      contents: write   # required by anchore/sbom-action dependency-snapshot upload
+      actions: read     # required by dawidd6/action-download-artifact on fork PRs
+    defaults:
+      run:
+        shell: bash -l {0}
+    steps:
+    - uses: actions/checkout@v6
+    - uses: prefix-dev/setup-pixi@v0.9.6
+      with:
+        pixi-version: v0.68.1
+
+    - name: Generate SBOM # (master only)
+      if: github.ref == 'refs/heads/master'
+      uses: anchore/sbom-action@v0.24.0
+      with:
+        path: ".pixi/envs/default"
+        output-file: sbom.spdx.json
+        dependency-snapshot: true
+
+    - name: Vulnerability Scan
+      id: scan
+      uses: anchore/scan-action@v7.4.0
+      with:
+        path: ".pixi/envs/default"
+        fail-build: false
+        severity-cutoff: high
+        add-cpes-if-none: true
+        output-format: sarif
+
+    # Point alerts to pixi.lock so githubs path scoped PR check registers it
+    - name: Rewrite SARIF locations to pixi.lock
+      run: |
+        jq '.runs[].results[].locations[].physicalLocation.artifactLocation.uri = "pixi.lock"' \
+          "${{ steps.scan.outputs.sarif }}" > rewritten.sarif
+        mv rewritten.sarif "${{ steps.scan.outputs.sarif }}"
+
+    - name: Upload SARIF
+      if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name == github.repository
+      uses: github/codeql-action/upload-sarif@v4
+      with:
+        sarif_file: ${{ steps.scan.outputs.sarif }}
+        category: pixi-vuln-scan
+
+    # Fork PRs cant upload SARIF (no access to token), so code scannings native diff
+    # does not apply. This builds our own diff from a master-uploaded SARIF artifact instead.
+    - name: Upload SARIF as artifact
+      if: github.ref == 'refs/heads/master'
+      uses: actions/upload-artifact@v7
+      with:
+        name: master-sarif
+        path: ${{ steps.scan.outputs.sarif }}
+        retention-days: 30
+
+    # Fork PRs cant upload SARIF to code scanning (no token write access), so
+    # diff against the master baseline artifact here instead
+    - name: Download master baseline (fork PRs only)
+      if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository
+      uses: dawidd6/action-download-artifact@v21
+      with:
+        workflow: security-scan.yaml
+        name: master-sarif
+        branch: master
+        if_no_artifact_found: fail
+        path: master-baseline
+
+    - name: Fail on new CVEs (fork PRs only)
+      if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository
+      env:
+        SARIF_PATH: ${{ steps.scan.outputs.sarif }}
+      run: |
+        [ -s master-baseline/output ] || { echo "::error::baseline SARIF missing"; exit 2; }
+        [ -s "$SARIF_PATH" ]          || { echo "::error::PR SARIF missing"; exit 2; }
+        new=$(comm -23 \
+          <(jq -r '.runs[].results[] | select(.level == "error") | .ruleId' "$SARIF_PATH"          | sort -u) \
+          <(jq -r '.runs[].results[] | select(.level == "error") | .ruleId' master-baseline/output | sort -u))
+        if [ -n "$new" ]; then
+          echo "::error::New high+ CVEs vs master:"
+          printf '%s\n' "$new"
+          exit 1
+        fi
+        echo "No new high+ CVEs vs master."
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index aec99e3e22..a88f9c6a1e 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -53,7 +53,7 @@ jobs:
     - name: Setup Pixi
       uses: prefix-dev/setup-pixi@v0.10.0
       with:
-        pixi-version: v0.59.0
+        pixi-version: v0.68.1
         cache: true
         cache-write: ${{ github.event_name == 'push' && github.ref_name == 'master' }}
 
@@ -103,39 +103,39 @@ jobs:
         df -h
 
     - name: Skip - no source changes
-      if: steps.filter.outputs.src != 'true' && github.event_name != 'schedule'
+      if: steps.filter.outputs.src != 'true' && github.event_name != 'schedule' && github.event_name != 'workflow_dispatch'
       run: echo "Skipping tests because no source code changes detected"
 
     - name: Setup Pixi
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       uses: prefix-dev/setup-pixi@v0.10.0
       with:
-        pixi-version: v0.59.0
+        pixi-version: v0.68.1
         cache: true
         cache-write: ${{ github.event_name == 'push' && github.ref_name == 'master' }}
         environments: open-tyndp
 
     - name: Setup cache keys
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       run: |
         echo "WEEK=$(date +'%Y%U')" >> $GITHUB_ENV # data
         echo "MONTH=$(date +'%Y%m')" >> $GITHUB_ENV # cutouts
         echo "VERSIONS_HASH=${{ hashFiles('data/versions.csv') }}" >> $GITHUB_ENV
 
     - uses: actions/cache@v6
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       with:
         path: data
         key: data-${{ env.WEEK }}-${{ env.VERSIONS_HASH }}
 
     - uses: actions/cache@v6
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       with:
         path: cutouts
         key: cutouts-${{ env.MONTH }}
 
     - name: Restore git-tracked files in data/
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       run: git checkout HEAD -- data/
 
     - name: Restore git-tracked files in data/
@@ -146,10 +146,10 @@ jobs:
       if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
       # check for undefined variables to reuse functions across scripts
       run: |
-        pixi run pylint --disable=all --enable=E0601,E0606 --output-format=parseable scripts/add_* scripts/prepare_* scripts/solve_*
+        pixi run -e dev pylint --disable=all --enable=E0601,E0606 --output-format=parseable scripts/add_* scripts/prepare_* scripts/solve_*
 
     - name: Run snakemake test workflows (sb)
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       env:
         SNAKEMAKE_STORAGE_CACHED_HTTP_CACHE: ""
         SNAKEMAKE_STORAGE_CACHED_HTTP_SKIP_REMOTE_CHECKS: "1"
@@ -157,7 +157,7 @@ jobs:
         pixi run -e open-tyndp tyndp-sb-test
 
     - name: Run snakemake test workflows (cba)
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       env:
         SNAKEMAKE_STORAGE_CACHED_HTTP_CACHE: ""
         SNAKEMAKE_STORAGE_CACHED_HTTP_SKIP_REMOTE_CHECKS: "1"
@@ -165,7 +165,7 @@ jobs:
         pixi run -e open-tyndp tyndp-cba-test
 
     - name: Run snakemake test workflows (upstream)
-      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule'
+      if: steps.filter.outputs.src == 'true' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
       env:
         SNAKEMAKE_STORAGE_CACHED_HTTP_CACHE: ""
         SNAKEMAKE_STORAGE_CACHED_HTTP_SKIP_REMOTE_CHECKS: "1"
diff --git a/.github/workflows/update-lockfile.yaml b/.github/workflows/update-lockfile.yaml
index f580d2d24a..9072a87ce6 100644
--- a/.github/workflows/update-lockfile.yaml
+++ b/.github/workflows/update-lockfile.yaml
@@ -8,10 +8,6 @@ on:
   - cron: "0 8 1,16 * *" # Bi-weekly
   workflow_dispatch:
 
-permissions:
-  contents: write
-  pull-requests: write
-
 jobs:
   check-diff:
     runs-on: ubuntu-latest
@@ -39,17 +35,17 @@ jobs:
           echo "has_diff=false" >> $GITHUB_OUTPUT
           echo "No differences found compared to master - will skip update of lockfiles."
         fi
-      env:
-        GH_TOKEN: ${{ github.token }}
-
-  update-locked-environment:
+  update-lockfiles:
+    needs: check-diff
     if: |
       needs.check-diff.outputs.has_diff == 'true' &&
-      (github.event_name == 'schedule' && github.ref == 'refs/heads/master' || 
-       github.event_name != 'schedule' && github.ref != 'refs/heads/master')
-    needs: check-diff
+      ((github.event_name == 'schedule' && github.ref == 'refs/heads/master') ||
+      (github.event_name != 'schedule' && github.ref != 'refs/heads/master'))
     name: Update lockfiles
     runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
     defaults:
       run:
         shell: bash -l {0}
@@ -59,65 +55,26 @@ jobs:
     - name: Setup Pixi
       uses: prefix-dev/setup-pixi@v0.10.0
       with:
-        pixi-version: v0.59.0
-        run-install: false
+        pixi-version: v0.68.1
 
-    - name: Full resolve (exclude packages newer than 7 days)
-      # Exclude recently published packages to avoid pulling in broken or
-      # yanked releases before upstream has had time to react
+    - name: Full resolve
       run: |
-        EXCLUDE_DATE=$(date -u -d '7 days ago' +%Y-%m-%dT00:00:00Z)
-        sed -i "/^\[workspace\]/a exclude-newer = \"$EXCLUDE_DATE\"" pixi.toml
         rm pixi.lock
         pixi install --all
         git checkout pixi.toml
 
-    - name: Create new conda lock files
-      run: |
-        pixi workspace export conda-explicit-spec -e default envs
-        for f in envs/*_conda_spec*; do mv "$f" "${f/_conda_spec/.pin}"; done
-
-    - name: Create new conda environment file
-      run: |
-        pixi workspace export conda-environment -e default envs/environment.yaml -n pypsa-eur
-
-    - name: Upload artifacts
-      uses: actions/upload-artifact@v7
-      with:
-        name: lockfiles
-        path: |
-          pixi.lock
-          envs/
-
-  create-commit:
-    if: ${{ github.ref != 'refs/heads/master' }}
-    needs: update-locked-environment
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v7
-
-    - name: Download all artifacts
-      uses: actions/download-artifact@v8
-      with:
-        name: lockfiles
+    - name: Export conda environment files
+      if: ${{ !vars.PYPSA_BOT_ID }}
+      run: pixi run sync-locks
 
     - name: Create Commit
+      if: ${{ github.ref != 'refs/heads/master' }}
       uses: stefanzweifel/git-auto-commit-action@v7
       with:
         commit_message: "[github-actions.ci] Update locked envs"
 
-  create-pull-request:
-    if: ${{ github.ref == 'refs/heads/master' }}
-    needs: update-locked-environment
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v7
-    - name: Download all artifacts
-      uses: actions/download-artifact@v8
-      with:
-        name: lockfiles
-
     - name: Create Pull Request
+      if: ${{ github.ref == 'refs/heads/master' }}
       uses: peter-evans/create-pull-request@v8
       with:
         token: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.github/workflows/validate.yaml b/.github/workflows/validate.yaml
index c3c29dca9a..f0af6216e2 100644
--- a/.github/workflows/validate.yaml
+++ b/.github/workflows/validate.yaml
@@ -52,11 +52,11 @@ jobs:
         # <scenario>/<plot_name>.png
         plots: >
           "
-          graphs/energy.svg
-          graphs/costs.svg
-          graphs/balances-energy.svg
-          graphs/balances-urban_central_heat.svg
-          graphs/balances-urban_decentral_heat.svg
-          graphs/balances-rural_heat.svg
+          graphs/energy.pdf
+          graphs/costs.pdf
+          graphs/balances-energy.pdf
+          graphs/balances-urban_central_heat.pdf
+          graphs/balances-urban_decentral_heat.pdf
+          graphs/balances-rural_heat.pdf
           "
         validator_key: ${{ secrets.VALIDATOR_KEY }}
diff --git a/.gitignore b/.gitignore
index ce9a49a1d4..6a1aaaddfe 100644
--- a/.gitignore
+++ b/.gitignore
@@ -31,6 +31,7 @@ gurobi.log
 /tmp
 doc/_build
 _build
+site
 
 
 /scripts/old
@@ -119,6 +120,11 @@ CLAUDE.md
 .claude/
 .github/copilot-instructions.md
 CLAUDE.local.md
+# generated DAGs for docs
+doc/img/dag_*.svg
+doc/img/workflow.svg
+doc/img/intro-workflow.svg
+
 # pixi environments
 .pixi/*
 !.pixi/config.toml
diff --git a/.pixi/config.toml b/.pixi/config.toml
index b5f21c1620..addb66df43 100644
--- a/.pixi/config.toml
+++ b/.pixi/config.toml
@@ -3,4 +3,7 @@
 # SPDX-License-Identifier: CC0-1.0
 
 pinning-strategy = "latest-up"
-run-post-link-scripts = "false" # set to "insecure" to allow running post-link scripts
+
+# This aligns with default `conda` behaviour.
+# Set to "false" to stop post-link scripts from running.
+run-post-link-scripts = "insecure"
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 3d64ede4bd..b8a401ad92 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
 #
 # SPDX-License-Identifier: CC0-1.0
-exclude: "^LICENSES|^config/schema\\.json$|^config/config\\.default\\.yaml$"
+exclude: "^LICENSES|^config/schema\\.default[\\.]*.*\\.json$|^config/config\\.default[\\.]*.*\\.yaml$"
 
 ci:
   autoupdate_schedule: quarterly
@@ -18,7 +18,7 @@ repos:
 # Run ruff to lint and format
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.14.10
+  rev: v0.15.9
   hooks:
     # Run the linter.
   - id: ruff
@@ -28,10 +28,10 @@ repos:
 
   # Find common spelling mistakes in comments and docstrings
 - repo: https://github.com/codespell-project/codespell
-  rev: v2.4.1
+  rev: v2.4.2
   hooks:
   - id: codespell
-    args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,bund,userA'] # Ignore capital case words, e.g. country codes
+    args: ['--ignore-regex="(\b[A-Z]+\b)"', '--ignore-words-list=fom,appartment,bage,ore,setis,tabacco,berfore,vor,pris,bund,userA,ons'] # Ignore capital case words, e.g. country codes
     types_or: [python, rst, markdown]
     files: ^(scripts|doc)/
 
@@ -45,7 +45,7 @@ repos:
 
   # YAML formatting
 - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
-  rev: v2.15.0
+  rev: v2.16.0
   hooks:
   - id: pretty-format-yaml
     exclude: (\.lock\.yaml)$
@@ -56,7 +56,6 @@ repos:
   rev: v1.0.0
   hooks:
   - id: snakefmt
-    args: [--no-sort]
 
   # Check for FSFE REUSE compliance (licensing)
 - repo: https://github.com/fsfe/reuse-tool
diff --git a/.readthedocs.yml b/.readthedocs.yml
index baceeecd30..275dddcf26 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -4,21 +4,23 @@
 
 version: 2
 
-sphinx:
-  configuration: doc/conf.py
-
+mkdocs:
+  configuration: mkdocs.yml
 
 build:
   os: ubuntu-24.04
   tools:
     python: "3.12"
+  apt_packages:
+  - graphviz
   jobs:
     create_environment:
     - asdf plugin add pixi
     - asdf install pixi latest
     - asdf global pixi latest
     install:
-    - pixi install -e doc --frozen
+    - pixi install -e default -e doc --frozen
     build:
       html:
-      - pixi run build-docs $READTHEDOCS_OUTPUT html
+      - pixi run update-dags
+      - pixi run build-docs $READTHEDOCS_OUTPUT
diff --git a/CITATION.cff b/CITATION.cff
index 5c6f598520..356188a48f 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -3,11 +3,11 @@
 # SPDX-License-Identifier: CC0-1.0
 
 cff-version: 1.2.0
-title: >-
-  Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP
-message: >-
-  If you use this package, please cite it in the following
-  way.
+message: 'If you use this package, please cite it in the following way.'
+title: 'Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP'
+repository-code: 'https://github.com/open-energy-transition/open-tyndp'
+version: v0.7.1
+license: MIT
 type: software
 authors:
   - name: Open Energy Transition
@@ -54,15 +54,14 @@ identifiers:
   - type: doi
     value: 10.5281/zenodo.19372053
     description: 'Zenodo record archiving released versions of Open-TYNDP starting with v0.6. Versions v0.5 and v0.5.1 are archived at 10.5281/zenodo.18494362.'
-repository-code: 'https://github.com/open-energy-transition/open-tyndp'
-license: MIT
-version: v0.7.1
 
 # Preferred citation and references
 preferred-citation:
   type: software
-  title: >-
-    Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP
+  title: 'Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP'
+  repository-code: 'https://github.com/open-energy-transition/open-tyndp'
+  version: v0.7.1
+  license: MIT
   authors:
     - name: Open Energy Transition
     - family-names: Gilon
@@ -99,9 +98,6 @@ preferred-citation:
       given-names: Maximilian
       orcid: https://orcid.org/0000-0002-4390-0063
   doi: 10.5281/zenodo.19372053
-  repository-code: 'https://github.com/open-energy-transition/open-tyndp'
-  version: v0.7.1
-  license: MIT
 
 # Reference the original work
 references:
@@ -129,8 +125,8 @@ references:
   - type: software
     title: 'PyPSA-Eur: An open sector-coupled optimisation model of the European energy system'
     repository-code: 'https://github.com/pypsa/pypsa-eur'
-    doi: 10.5281/zenodo.15864616
-    version: v2025.07.0
+    doi: 10.5281/zenodo.18693292
+    version: v2026.02.0
     license: MIT
     authors:
       - family-names: Brown
diff --git a/Snakefile b/Snakefile
index d0a41d093f..3d78a2373a 100644
--- a/Snakefile
+++ b/Snakefile
@@ -5,7 +5,6 @@
 # SPDX-License-Identifier: MIT
 
 import copy
-from itertools import chain
 from pathlib import Path
 import pandas as pd
 import yaml
@@ -208,9 +207,10 @@ def input_all_tyndp(w):
 
 
 rule all:
+    default_target: True
     input:
         input_all_tyndp,
-        expand(RESULTS + "graphs/costs.svg", run=config["run"]["name"]),
+        expand(RESULTS + "graphs/costs.pdf", run=config["run"]["name"]),
         expand(resources("maps/power-network.pdf"), run=config["run"]["name"]),
         expand(
             resources("maps/power-network-s-{clusters}.pdf"),
@@ -339,7 +339,6 @@ rule all:
         ),
         lambda w: balance_map_paths("static", w),
         lambda w: balance_map_paths("interactive", w),
-    default_target: True
 
 
 rule create_scenarios:
@@ -390,8 +389,6 @@ rule dump_graph_config:
 
 rule rulegraph:
     """Generates Rule DAG in DOT, PDF, PNG, and SVG formats using the final configuration."""
-    message:
-        "Creating RULEGRAPH dag in multiple formats using the final configuration."
     input:
         config_file=rules.dump_graph_config.output.config_file,
     output:
@@ -399,6 +396,8 @@ rule rulegraph:
         pdf=resources("dag_rulegraph.pdf"),
         png=resources("dag_rulegraph.png"),
         svg=resources("dag_rulegraph.svg"),
+    message:
+        "Creating RULEGRAPH dag in multiple formats using the final configuration."
     shell:
         r"""
         # Generate DOT file using nested snakemake with the dumped final config
@@ -407,7 +406,6 @@ rule rulegraph:
 
         # Generate visualizations from the DOT file
         if [ -s {output.dot} ]; then
-            dot -c
 
             echo "[Rule rulegraph] Generating PDF from DOT"
             dot -Tpdf -o {output.pdf} {output.dot} || {{ echo "Error: Failed to generate PDF. Is graphviz installed?" >&2; exit 1; }}
@@ -428,8 +426,6 @@ rule rulegraph:
 
 rule filegraph:
     """Generates File DAG in DOT, PDF, PNG, and SVG formats using the final configuration."""
-    message:
-        "Creating FILEGRAPH dag in multiple formats using the final configuration."
     input:
         config_file=rules.dump_graph_config.output.config_file,
     output:
@@ -437,6 +433,8 @@ rule filegraph:
         pdf=resources("dag_filegraph.pdf"),
         png=resources("dag_filegraph.png"),
         svg=resources("dag_filegraph.svg"),
+    message:
+        "Creating FILEGRAPH dag in multiple formats using the final configuration."
     shell:
         r"""
         # Generate DOT file using nested snakemake with the dumped final config
@@ -463,10 +461,10 @@ rule filegraph:
 
 
 rule doc:
-    message:
-        "Build documentation."
     output:
         directory("doc/_build"),
+    message:
+        "Build documentation."
     shell:
         "pixi run build-docs {output} html"
 
diff --git a/config/config.default.yaml b/config/config.default.yaml
index 3ef15b3843..b616b54f8c 100644
--- a/config/config.default.yaml
+++ b/config/config.default.yaml
@@ -244,6 +244,7 @@ electricity:
       Offshore: "offwind-ac"
       Onshore: onwind
       PV: solar
+  estimate_battery_capacities: false
   autarky:
     enable: false
     by_country: false
@@ -253,8 +254,9 @@ electricity:
 # docs in https://open-tyndp.readthedocs.io/en/latest/configuration.html#atlite
 atlite:
   default_cutout: "europe-2013-sarah3-era5"
-  nprocesses: 16
+  nprocesses: 1
   show_progress: false
+  plot_availability_matrix: false
   cutouts:
     "europe-1940-2024-era5":
       module: era5
@@ -336,9 +338,7 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine:
-    - 44
-    - 255
+    corine: false
     luisa: false
     natura: true
     ship_threshold: 400
@@ -359,9 +359,7 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine:
-    - 44
-    - 255
+    corine: false
     luisa: false
     natura: true
     ship_threshold: 400
@@ -382,9 +380,7 @@ renewable:
     resource_classes: 1
     capacity_per_sqkm: 2
     correction_factor: 0.8855
-    corine:
-    - 44
-    - 255
+    corine: false
     luisa: false
     natura: true
     ship_threshold: 400
@@ -580,6 +576,7 @@ load:
   scaling_factor: 1.0
   fixed_year: false
   supplement_synthetic: true
+  substation_only: true
   distribution_key:
     gdp: 0.6
     population: 0.4
@@ -694,6 +691,7 @@ existing_capacities:
   - 2019
   threshold_capacity: 10
   default_heating_lifetime: 20
+  solar_rooftop_ratio: 0.5
   conventional_carriers:
   - lignite
   - coal
@@ -992,6 +990,7 @@ sector:
     enable:
     - DC
     - H2 pipeline
+    - H2 pipeline retrofitted
     - gas pipeline
     - electricity distribution grid
     DC:
@@ -1000,6 +999,9 @@ sector:
     H2 pipeline:
       efficiency_per_1000km: 1
       compression_per_1000km: 0.018
+    H2 pipeline retrofitted:
+      efficiency_per_1000km: 1
+      compression_per_1000km: 0.018
     gas pipeline:
       efficiency_per_1000km: 1
       compression_per_1000km: 0.01
@@ -1161,7 +1163,7 @@ industry:
   MWh_CH4_per_tMeOH: 10.25
   MWh_MeOH_per_tMeOH: 5.528
   hotmaps_locate_missing: false
-  reference_year: 2019
+  reference_year: 2023
   oil_refining_emissions: 0.013
 
 # docs in https://open-tyndp.readthedocs.io/en/latest/configuration.html#costs
@@ -1201,11 +1203,11 @@ clustering:
     aggregate_to_tyndp: false
   simplify_network:
     to_substations: false
-    exclude_carriers: []
     remove_stubs: true
     remove_stubs_across_borders: false
   cluster_network:
     algorithm: kmeans
+    allow_ac_dc_mixing_in_bus_clusters: false
     hac_features:
     - wnd100m
     - influx_direct
@@ -1237,13 +1239,13 @@ solving:
     clip_p_max_pu: 0.01
     load_shedding:
       enable: false
-      default_price: 100000
-      apply_to_all_carriers: true
+      default_cost: 100000
+      all_carriers: true
       carriers: {}
     load_sinks:
       enable: false
-      default_price: 100000
-      apply_to_all_carriers: false
+      default_cost: 100000
+      all_carriers: false
       carriers: {}
     curtailment_mode: false
     noisy_costs: true
@@ -1260,6 +1262,7 @@ solving:
     transmission_losses: 2
     linearized_unit_commitment: true
     horizon: 365
+    overlap: 0
     post_discretization:
       enable: false
       line_unit_size: 1700
@@ -1317,6 +1320,7 @@ solving:
       AggFill: 0
       PreDual: 0
       GURO_PAR_BARDENSETHRESH: 200
+      IISMethod: 1
     "gurobi-simplex":
       threads: 32
       method: 1
@@ -1552,6 +1556,15 @@ data:
   jrc_ardeco:
     source: archive
     version: latest
+  jrc_energy_atlas:
+    source: archive
+    version: latest
+  desnz_electricity_consumption:
+    source: archive
+    version: latest
+  ons_lad:
+    source: archive
+    version: latest
   bidding_zones_electricitymaps:
     source: archive
     version: latest
diff --git a/config/config.tyndp.yaml b/config/config.tyndp.yaml
index 4f0b59a88c..f6e1351f45 100644
--- a/config/config.tyndp.yaml
+++ b/config/config.tyndp.yaml
@@ -373,7 +373,7 @@ solving:
   options:
     load_shedding:
       enable: true
-      apply_to_all_carriers: false
+      all_carriers: false
       carriers:
         H2: 3000
         AC: 3000
@@ -472,7 +472,7 @@ cba:
       noisy_costs: false
       load_shedding:
         enable: true
-        apply_to_all_carriers: true
+        all_carriers: true
       io_api: direct  # 20% faster than default lp mode for rolling horizon
 
     solver:
diff --git a/config/schema.default.json b/config/schema.default.json
index 82119850e0..fd78387fa1 100644
--- a/config/schema.default.json
+++ b/config/schema.default.json
@@ -175,7 +175,7 @@
           "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
         },
         "nprocesses": {
-          "default": 16,
+          "default": 1,
           "description": "Number of parallel processes in cutout preparation.",
           "type": "integer"
         },
@@ -184,6 +184,11 @@
           "description": "Whether progressbar for atlite conversion processes should be shown. False saves time.",
           "type": "boolean"
         },
+        "plot_availability_matrix": {
+          "default": false,
+          "description": "Whether to plot the landuse availability matrix. Warning: This requires a significant amount of memory and time and may crash for larger workflows. Use with caution.",
+          "type": "boolean"
+        },
         "cutouts": {
           "additionalProperties": {
             "description": "Configuration for a single cutout in `atlite.cutouts`.",
@@ -730,13 +735,6 @@
               "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
               "type": "boolean"
             },
-            "exclude_carriers": {
-              "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-              "items": {
-                "type": "string"
-              },
-              "type": "array"
-            },
             "remove_stubs": {
               "default": true,
               "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
@@ -761,6 +759,11 @@
               ],
               "type": "string"
             },
+            "allow_ac_dc_mixing_in_bus_clusters": {
+              "default": false,
+              "description": "Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+              "type": "boolean"
+            },
             "hac_features": {
               "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
               "items": {
@@ -778,9 +781,19 @@
           "type": "array"
         },
         "consider_efficiency_classes": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "items": {
+                "type": "number"
+              },
+              "type": "array"
+            }
+          ],
           "default": false,
-          "description": "Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
-          "type": "boolean"
+          "description": "Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9]."
         },
         "aggregation_strategies": {
           "description": "Configuration for `clustering.aggregation_strategies` settings.",
@@ -2189,6 +2202,69 @@
             }
           }
         },
+        "jrc_energy_atlas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "tyndp-archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "desnz_electricity_consumption": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "tyndp-archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ons_lad": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "tyndp-archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
         "bidding_zones_electricitymaps": {
           "description": "Configuration for a single data source.",
           "properties": {
@@ -2832,6 +2908,11 @@
             }
           }
         },
+        "estimate_battery_capacities": {
+          "default": false,
+          "description": "Enable estimation of existing battery storage capacities.",
+          "type": "boolean"
+        },
         "autarky": {
           "description": "Configuration for `electricity.autarky` settings.",
           "properties": {
@@ -2917,6 +2998,11 @@
           "description": "Default lifetime for heating technologies (years).",
           "type": "integer"
         },
+        "solar_rooftop_ratio": {
+          "default": 0.5,
+          "description": "Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1).",
+          "type": "number"
+        },
         "conventional_carriers": {
           "description": "List of conventional power plants to include in the sectoral network.",
           "items": {
@@ -3134,7 +3220,7 @@
           "type": "boolean"
         },
         "reference_year": {
-          "default": 2019,
+          "default": 2023,
           "description": "The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
           "markdownDescription": "The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001).",
           "type": "integer"
@@ -3356,6 +3442,11 @@
           "markdownDescription": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928).",
           "type": "boolean"
         },
+        "substation_only": {
+          "default": true,
+          "description": "Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data.",
+          "type": "boolean"
+        },
         "distribution_key": {
           "description": "Configuration for `load.distribution_key` settings.",
           "properties": {
@@ -3728,6 +3819,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -3910,6 +4002,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -4092,6 +4185,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -5440,6 +5534,13 @@
               "description": "H2 pipeline transmission efficiency.",
               "type": "object"
             },
+            "H2 pipeline retrofitted": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "H2 pipeline retrofitted transmission efficiency.",
+              "type": "object"
+            },
             "gas pipeline": {
               "additionalProperties": {
                 "type": "number"
@@ -5863,16 +5964,16 @@
               "properties": {
                 "enable": {
                   "default": false,
-                  "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+                  "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
                   "type": "boolean"
                 },
-                "default_price": {
+                "default_cost": {
                   "default": 100000,
-                  "description": "The default price for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
                   "exclusiveMinimum": 0,
                   "type": "number"
                 },
-                "apply_to_all_carriers": {
+                "all_carriers": {
                   "default": true,
                   "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
                   "type": "boolean"
@@ -5883,7 +5984,7 @@
                     "type": "number"
                   },
                   "default": {},
-                  "description": "Dictionary of carriers and their specific load shedding price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default price is assumed for non-listed carriers.",
+                  "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
                   "type": "object"
                 }
               }
@@ -5893,16 +5994,16 @@
               "properties": {
                 "enable": {
                   "default": false,
-                  "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+                  "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
                   "type": "boolean"
                 },
-                "default_price": {
+                "default_cost": {
                   "default": 100000,
-                  "description": "The default price for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
                   "exclusiveMinimum": 0,
                   "type": "number"
                 },
-                "apply_to_all_carriers": {
+                "all_carriers": {
                   "default": false,
                   "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
                   "type": "boolean"
@@ -5913,7 +6014,7 @@
                     "type": "number"
                   },
                   "default": {},
-                  "description": "Dictionary of carriers and their specific load sink price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default price is assumed for non-listed carriers.",
+                  "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
                   "type": "object"
                 }
               }
@@ -6007,6 +6108,11 @@
               "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
               "type": "integer"
             },
+            "overlap": {
+              "default": 0,
+              "description": "Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+              "type": "integer"
+            },
             "post_discretization": {
               "description": "Configuration for `solving.options.post_discretization` settings.",
               "properties": {
@@ -6782,6 +6888,11 @@
           ],
           "type": "string"
         },
+        "allow_ac_dc_mixing_in_bus_clusters": {
+          "default": false,
+          "description": "Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+          "type": "boolean"
+        },
         "hac_features": {
           "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
           "items": {
@@ -7609,16 +7720,16 @@
       "properties": {
         "enable": {
           "default": false,
-          "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+          "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
           "type": "boolean"
         },
-        "default_price": {
+        "default_cost": {
           "default": 100000,
-          "description": "The default price for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+          "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
           "exclusiveMinimum": 0,
           "type": "number"
         },
-        "apply_to_all_carriers": {
+        "all_carriers": {
           "default": true,
           "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
           "type": "boolean"
@@ -7629,7 +7740,7 @@
             "type": "number"
           },
           "default": {},
-          "description": "Dictionary of carriers and their specific load shedding price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default price is assumed for non-listed carriers.",
+          "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
           "type": "object"
         }
       }
@@ -7639,16 +7750,16 @@
       "properties": {
         "enable": {
           "default": false,
-          "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+          "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
           "type": "boolean"
         },
-        "default_price": {
+        "default_cost": {
           "default": 100000,
-          "description": "The default price for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+          "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
           "exclusiveMinimum": 0,
           "type": "number"
         },
-        "apply_to_all_carriers": {
+        "all_carriers": {
           "default": false,
           "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
           "type": "boolean"
@@ -7659,7 +7770,7 @@
             "type": "number"
           },
           "default": {},
-          "description": "Dictionary of carriers and their specific load sink price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default price is assumed for non-listed carriers.",
+          "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
           "type": "object"
         }
       }
@@ -7913,6 +8024,7 @@
               "type": "array"
             }
           ],
+          "default": false,
           "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
         },
         "luisa": {
@@ -8583,13 +8695,6 @@
           "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
           "type": "boolean"
         },
-        "exclude_carriers": {
-          "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-          "items": {
-            "type": "string"
-          },
-          "type": "array"
-        },
         "remove_stubs": {
           "default": true,
           "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
@@ -8823,16 +8928,16 @@
           "properties": {
             "enable": {
               "default": false,
-              "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+              "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
               "type": "boolean"
             },
-            "default_price": {
+            "default_cost": {
               "default": 100000,
-              "description": "The default price for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+              "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
               "exclusiveMinimum": 0,
               "type": "number"
             },
-            "apply_to_all_carriers": {
+            "all_carriers": {
               "default": true,
               "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
               "type": "boolean"
@@ -8843,7 +8948,7 @@
                 "type": "number"
               },
               "default": {},
-              "description": "Dictionary of carriers and their specific load shedding price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default price is assumed for non-listed carriers.",
+              "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
               "type": "object"
             }
           }
@@ -8853,16 +8958,16 @@
           "properties": {
             "enable": {
               "default": false,
-              "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+              "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
               "type": "boolean"
             },
-            "default_price": {
+            "default_cost": {
               "default": 100000,
-              "description": "The default price for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+              "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
               "exclusiveMinimum": 0,
               "type": "number"
             },
-            "apply_to_all_carriers": {
+            "all_carriers": {
               "default": false,
               "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
               "type": "boolean"
@@ -8873,7 +8978,7 @@
                 "type": "number"
               },
               "default": {},
-              "description": "Dictionary of carriers and their specific load sink price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default price is assumed for non-listed carriers.",
+              "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
               "type": "object"
             }
           }
@@ -8967,6 +9072,11 @@
           "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
           "type": "integer"
         },
+        "overlap": {
+          "default": 0,
+          "description": "Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+          "type": "integer"
+        },
         "post_discretization": {
           "description": "Configuration for `solving.options.post_discretization` settings.",
           "properties": {
@@ -9101,6 +9211,13 @@
           "description": "H2 pipeline transmission efficiency.",
           "type": "object"
         },
+        "H2 pipeline retrofitted": {
+          "additionalProperties": {
+            "type": "number"
+          },
+          "description": "H2 pipeline retrofitted transmission efficiency.",
+          "type": "object"
+        },
         "gas pipeline": {
           "additionalProperties": {
             "type": "number"
@@ -9966,6 +10083,11 @@
             }
           }
         },
+        "estimate_battery_capacities": {
+          "default": false,
+          "description": "Enable estimation of existing battery storage capacities.",
+          "type": "boolean"
+        },
         "autarky": {
           "description": "Configuration for `electricity.autarky` settings.",
           "properties": {
@@ -10012,7 +10134,7 @@
           "description": "Defines a default cutout. Can refer to a single cutout or a list of cutouts."
         },
         "nprocesses": {
-          "default": 16,
+          "default": 1,
           "description": "Number of parallel processes in cutout preparation.",
           "type": "integer"
         },
@@ -10021,6 +10143,11 @@
           "description": "Whether progressbar for atlite conversion processes should be shown. False saves time.",
           "type": "boolean"
         },
+        "plot_availability_matrix": {
+          "default": false,
+          "description": "Whether to plot the landuse availability matrix. Warning: This requires a significant amount of memory and time and may crash for larger workflows. Use with caution.",
+          "type": "boolean"
+        },
         "cutouts": {
           "additionalProperties": {
             "description": "Configuration for a single cutout in `atlite.cutouts`.",
@@ -10438,6 +10565,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -10620,6 +10748,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -10802,6 +10931,7 @@
                   "type": "array"
                 }
               ],
+              "default": false,
               "description": "Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement."
             },
             "luisa": {
@@ -11602,6 +11732,11 @@
           "markdownDescription": "Whether to supplement missing data for selected time period should be supplemented by synthetic data from [Zenodo ](https://zenodo.org/records/10820928).",
           "type": "boolean"
         },
+        "substation_only": {
+          "default": true,
+          "description": "Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data.",
+          "type": "boolean"
+        },
         "distribution_key": {
           "description": "Configuration for `load.distribution_key` settings.",
           "properties": {
@@ -11827,6 +11962,11 @@
           "description": "Default lifetime for heating technologies (years).",
           "type": "integer"
         },
+        "solar_rooftop_ratio": {
+          "default": 0.5,
+          "description": "Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1).",
+          "type": "number"
+        },
         "conventional_carriers": {
           "description": "List of conventional power plants to include in the sectoral network.",
           "items": {
@@ -12625,6 +12765,13 @@
               "description": "H2 pipeline transmission efficiency.",
               "type": "object"
             },
+            "H2 pipeline retrofitted": {
+              "additionalProperties": {
+                "type": "number"
+              },
+              "description": "H2 pipeline retrofitted transmission efficiency.",
+              "type": "object"
+            },
             "gas pipeline": {
               "additionalProperties": {
                 "type": "number"
@@ -13139,7 +13286,7 @@
           "type": "boolean"
         },
         "reference_year": {
-          "default": 2019,
+          "default": 2023,
           "description": "The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
           "markdownDescription": "The year used as the baseline for industrial energy demand and production. Data extracted from [JRC-IDEES 2015 ](https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001).",
           "type": "integer"
@@ -13365,13 +13512,6 @@
               "description": "Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
               "type": "boolean"
             },
-            "exclude_carriers": {
-              "description": "List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-              "items": {
-                "type": "string"
-              },
-              "type": "array"
-            },
             "remove_stubs": {
               "default": true,
               "description": "Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
@@ -13396,6 +13536,11 @@
               ],
               "type": "string"
             },
+            "allow_ac_dc_mixing_in_bus_clusters": {
+              "default": false,
+              "description": "Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+              "type": "boolean"
+            },
             "hac_features": {
               "description": "List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
               "items": {
@@ -13413,9 +13558,19 @@
           "type": "array"
         },
         "consider_efficiency_classes": {
+          "anyOf": [
+            {
+              "type": "boolean"
+            },
+            {
+              "items": {
+                "type": "number"
+              },
+              "type": "array"
+            }
+          ],
           "default": false,
-          "description": "Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
-          "type": "boolean"
+          "description": "Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9]."
         },
         "aggregation_strategies": {
           "description": "Configuration for `clustering.aggregation_strategies` settings.",
@@ -13639,16 +13794,16 @@
               "properties": {
                 "enable": {
                   "default": false,
-                  "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+                  "description": "Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
                   "type": "boolean"
                 },
-                "default_price": {
+                "default_cost": {
                   "default": 100000,
-                  "description": "The default price for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "description": "The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
                   "exclusiveMinimum": 0,
                   "type": "number"
                 },
-                "apply_to_all_carriers": {
+                "all_carriers": {
                   "default": true,
                   "description": "Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
                   "type": "boolean"
@@ -13659,7 +13814,7 @@
                     "type": "number"
                   },
                   "default": {},
-                  "description": "Dictionary of carriers and their specific load shedding price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default price is assumed for non-listed carriers.",
+                  "description": "Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
                   "type": "object"
                 }
               }
@@ -13669,16 +13824,16 @@
               "properties": {
                 "enable": {
                   "default": false,
-                  "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+                  "description": "Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
                   "type": "boolean"
                 },
-                "default_price": {
+                "default_cost": {
                   "default": 100000,
-                  "description": "The default price for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+                  "description": "The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
                   "exclusiveMinimum": 0,
                   "type": "number"
                 },
-                "apply_to_all_carriers": {
+                "all_carriers": {
                   "default": false,
                   "description": "Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
                   "type": "boolean"
@@ -13689,7 +13844,7 @@
                     "type": "number"
                   },
                   "default": {},
-                  "description": "Dictionary of carriers and their specific load sink price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default price is assumed for non-listed carriers.",
+                  "description": "Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
                   "type": "object"
                 }
               }
@@ -13783,6 +13938,11 @@
               "description": "Number of snapshots to consider in each iteration. Defaults to 100.",
               "type": "integer"
             },
+            "overlap": {
+              "default": 0,
+              "description": "Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+              "type": "integer"
+            },
             "post_discretization": {
               "description": "Configuration for `solving.options.post_discretization` settings.",
               "properties": {
@@ -15154,6 +15314,69 @@
             }
           }
         },
+        "jrc_energy_atlas": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "tyndp-archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "desnz_electricity_consumption": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "tyndp-archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
+        "ons_lad": {
+          "description": "Configuration for a single data source.",
+          "properties": {
+            "source": {
+              "default": "archive",
+              "description": "Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source.",
+              "enum": [
+                "archive",
+                "tyndp-archive",
+                "primary",
+                "build"
+              ],
+              "type": "string"
+            },
+            "version": {
+              "default": "latest",
+              "description": "Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source.",
+              "type": "string"
+            }
+          }
+        },
         "bidding_zones_electricitymaps": {
           "description": "Configuration for a single data source.",
           "properties": {
diff --git a/config/test/config.clusters.yaml b/config/test/config.clusters.yaml
index efc9cab92a..79e9c3dc6d 100644
--- a/config/test/config.clusters.yaml
+++ b/config/test/config.clusters.yaml
@@ -29,7 +29,7 @@ clustering:
   temporal:
     resolution_elec: 24h
   simplify_network:
-    remove_stubs: true
+    remove_stubs: false
     remove_stubs_across_borders: false
 
 solving:
diff --git a/config/test/config.cyears.yaml b/config/test/config.cyears.yaml
index 25d80bd3ed..2981f59e1e 100644
--- a/config/test/config.cyears.yaml
+++ b/config/test/config.cyears.yaml
@@ -382,7 +382,7 @@ solving:
   options:
     load_shedding:
       enable: true
-      apply_to_all_carriers: false
+      all_carriers: false
       carriers:
         H2: 3000
         AC: 3000
@@ -482,7 +482,7 @@ cba:
       noisy_costs: false
       load_shedding:
         enable: true
-        apply_to_all_carriers: true
+        all_carriers: true
       io_api: direct  # 20% faster than default lp mode for rolling horizon
 
     solver:
diff --git a/config/test/config.myopic.yaml b/config/test/config.myopic.yaml
index 86887bec6b..e76df5a395 100644
--- a/config/test/config.myopic.yaml
+++ b/config/test/config.myopic.yaml
@@ -68,7 +68,7 @@ sector:
 
 electricity:
   extendable_carriers:
-    Generator: [OCGT, solar, onwind, OCGT, CCGT, nuclear]
+    Generator: [solar, onwind, OCGT, CCGT, nuclear]
     StorageUnit: [battery]
     Store: [H2]
     Link: [H2 pipeline]
diff --git a/config/test/config.overnight.yaml b/config/test/config.overnight.yaml
index af763f070f..f2ba5209e5 100644
--- a/config/test/config.overnight.yaml
+++ b/config/test/config.overnight.yaml
@@ -29,7 +29,7 @@ snapshots:
 electricity:
 
   extendable_carriers:
-    Generator: [OCGT, solar, onwind, OCGT, CCGT, nuclear]
+    Generator: [solar, onwind, OCGT, CCGT, nuclear]
     StorageUnit: [battery]
     Store: [H2]
     Link: [H2 pipeline]
diff --git a/config/test/config.tyndp.yaml b/config/test/config.tyndp.yaml
index bbd7f94531..55d6383728 100644
--- a/config/test/config.tyndp.yaml
+++ b/config/test/config.tyndp.yaml
@@ -380,7 +380,7 @@ solving:
   options:
     load_shedding:
       enable: true
-      apply_to_all_carriers: false
+      all_carriers: false
       carriers:
         H2: 3000
         AC: 3000
@@ -480,7 +480,7 @@ cba:
       noisy_costs: false
       load_shedding:
         enable: true
-        apply_to_all_carriers: true
+        all_carriers: true
       io_api: direct  # 20% faster than default lp mode for rolling horizon
 
     solver:
diff --git a/config/test/config.validator.yaml b/config/test/config.validator.yaml
index 87dfe63774..48c1fc88c0 100644
--- a/config/test/config.validator.yaml
+++ b/config/test/config.validator.yaml
@@ -12,5 +12,4 @@ run:
 
 clustering:
   temporal:
-    resolution_elec: 365H
     resolution_sector: 365H
diff --git a/data/nuclear_p_max_pu.csv b/data/nuclear_p_max_pu.csv
index 5a8d1d131e..663bab3e75 100644
--- a/data/nuclear_p_max_pu.csv
+++ b/data/nuclear_p_max_pu.csv
@@ -1,17 +1,18 @@
-country,factor
-BE,0.883
-BG,0.876
-CZ,0.839
-FI,0.924
-FR,0.616
-DE,0.926
-HU,0.891
-NL,0.901
-RO,0.906
-SK,0.908
-SI,0.884
-ES,0.883
-SE,0.817
-CH,0.834
-GB,0.684
-UA,0.701
+country,2009,2010,2011,2012,2013,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024
+BE,0.873,0.875,0.887,0.741,0.781,0.544,0.796,0.775,0.522,0.796,0.626,0.920,0.840,0.888,0.864
+BG,0.867,0.843,0.900,0.885,0.867,0.865,0.883,0.868,0.886,0.894,0.890,0.885,0.877,0.867,0.848
+CZ,0.796,0.816,0.818,0.860,0.864,0.736,0.656,0.775,0.818,0.827,0.819,0.844,0.844,0.828,0.806
+FI,0.952,0.919,0.928,0.910,0.935,0.923,0.918,0.887,0.901,0.936,0.911,0.924,0.912,0.932,0.835
+FR,0.729,0.764,0.793,0.760,0.760,0.785,0.715,0.704,0.730,0.710,0.647,0.688,0.536,0.622,0.715
+DE,0.736,0.767,0.820,0.905,0.886,0.897,0.863,0.784,0.881,0.871,0.880,0.944,0.940,0.714,
+HU,0.876,0.886,0.889,0.890,0.865,0.891,0.905,0.909,0.886,0.913,0.899,0.895,0.885,0.894,0.899
+NL,0.951,0.889,0.921,0.869,0.637,0.905,0.878,0.756,0.783,0.868,0.917,0.864,0.941,0.898,0.796
+RO,0.948,0.935,0.946,0.926,0.935,0.938,0.910,0.928,0.919,0.909,0.922,0.913,0.897,0.909,0.880
+SK,0.867,0.870,0.906,0.904,0.920,0.897,0.870,0.890,0.875,0.900,0.897,0.899,0.906,0.920,0.862
+SI,0.908,0.893,0.986,0.865,0.830,0.885,0.892,0.985,0.906,0.913,0.993,0.896,0.878,0.878,0.906
+ES,0.775,0.901,0.832,0.887,0.845,0.876,0.898,0.890,0.855,0.897,0.906,0.873,0.900,0.877,0.872
+SE,0.634,0.682,0.713,0.745,0.766,0.649,0.712,0.810,0.869,0.851,0.724,0.846,0.827,0.779,0.812
+CH,0.922,0.886,0.895,0.848,0.860,0.760,0.694,0.671,0.838,0.870,0.885,0.714,0.890,0.899,0.882
+GB,0.708,0.634,0.712,0.771,0.788,0.771,0.826,0.815,0.757,0.656,0.588,0.585,0.774,0.724,0.722
+UA,0.745,0.760,0.756,0.752,0.765,0.740,0.679,0.708,0.679,0.674,0.680,0.701,,,
+LT,0.938,,,,,,,,,,,,,,
\ No newline at end of file
diff --git a/data/unit_commitment.csv b/data/unit_commitment.csv
index e93b1a903c..804bc3598c 100644
--- a/data/unit_commitment.csv
+++ b/data/unit_commitment.csv
@@ -1,8 +1,9 @@
 attribute,OCGT,CCGT,coal,lignite,nuclear
-ramp_limit_up,1,1,1,1,0.3
-ramp_limit_start_up,0.2,0.45,0.38,0.4,0.5
-ramp_limit_shut_down,0.2,0.45,0.38,0.4,0.5
-p_min_pu,0.2,0.45,0.325,0.4,0.5
-min_up_time,,3,5,7,6
-min_down_time,,2,6,6,10
-start_up_cost,9.6,34.2,35.64,19.14,16.5
+ramp_limit_up,1,1,0.9,0.6,0.3
+ramp_limit_down,1,1,0.9,0.6,0.3
+ramp_limit_start_up,0.8,0.5,0.4,0.4,0.2
+ramp_limit_shut_down,0.8,0.5,0.4,0.4,0.2
+p_min_pu,0.2,0.45,0.38,0.5,0.5
+min_up_time,0,4,8,8,10
+min_down_time,0,2,8,8,10
+start_up_cost,24,60,49,49,250
diff --git a/data/versions.csv b/data/versions.csv
index 99e1b92950..44b4c716b7 100644
--- a/data/versions.csv
+++ b/data/versions.csv
@@ -47,6 +47,8 @@ country_runoff,2025-08-13,archive,latest supported,2026-01-13,,https://data.pyps
 country_runoff,2025-08-13,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/country_runoff/2025-08-13/era5-runoff-per-country.csv
 cutout,v1.0,archive,latest supported,2026-01-13,Pre-build cutouts for PyPSA-Eur,https://data.pypsa.org/workflows/cutout/v1.0
 cutout,unknown,build,latest supported,2025-12-02,Build latest cutouts using ERA5/SARAH3 data.,
+desnz_electricity_consumption,unknown,primary,latest supported,2026-02-02,,https://assets.publishing.service.gov.uk/media/6762951abe7b2c675de30705/Subnational_electricity_consumption_statistics_2005-2024.xlsx
+desnz_electricity_consumption,2026-02-16,archive,latest supported,2026-02-16,,https://data.pypsa.org/workflows/eur/desnz_electricity_consumption/2026-02-16/Subnational_electricity_consumption_statistics_2005-2024.xlsx
 dh_areas,341.5,primary,latest supported,2025-12-02,,https://fordatis.fraunhofer.de/bitstream/fordatis/341.5/2/dh_areas.gpkg
 dh_areas,341.5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/dh_areas/341.5/dh_areas.gpkg
 dh_areas,341.5,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/dh_areas/341.5/dh_areas.gpkg
@@ -109,6 +111,8 @@ instrat_co2_prices,unknown,primary,latest supported,2026-02-03,API endpoint prov
 jrc_ardeco,2021,primary,latest supported,2025-12-02,,https://territorial.ec.europa.eu/ardeco-api-v2/rest/export/
 jrc_ardeco,2021,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/jrc_ardeco/2021
 jrc_ardeco,2021,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/jrc_ardeco/2021
+jrc_energy_atlas,unknown,primary,latest supported,2026-02-02,,https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/EIGL-Data/RASTER/electricity_tot_demand_2019.tif
+jrc_energy_atlas,2026-02-16,archive,latest supported,2026-02-16,,https://data.pypsa.org/workflows/eur/jrc_energy_atlas/2026-02-16/electricity_tot_demand_2019.tif
 jrc_idees,2023-v1,primary,latest supported,2026-02-04,,https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/JRC-IDEES/JRC-IDEES-2023_v1/JRC-IDEES-2023.zip
 jrc_idees,2023-v1,archive,latest supported,2026-02-09,,https://data.pypsa.org/workflows/eur/jrc_idees/2023-v1/JRC-IDEES-2023.zip
 jrc_idees,2023-v1,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/jrc_idees/2023-v1/JRC-IDEES-2023.zip
@@ -135,13 +139,16 @@ natura,2025-08-15,tyndp-archive,latest supported,2026-05-08,,https://storage.goo
 neso_electricity_demand,unknown,build,latest supported,2026-02-02,,https://www.neso.energy/data-portal/historic-demand-data
 neso_electricity_demand,2026-02-02,archive,latest supported,2026-02-03,,https://data.pypsa.org/workflows/eur/neso_electricity_demand/2026-02-02/electricity_demand_neso_raw.csv
 neso_electricity_demand,2026-02-02,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/neso_electricity_demand/2026-02-02/electricity_demand_neso_raw.csv
-nitrogen_statistics,2023,primary,not-tested,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2023-nitro-ERT.xlsx
-nitrogen_statistics,2022,primary,latest supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2022-nitro-ert.xlsx
-nitrogen_statistics,2022,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2022/nitro-ert.xlsx
-nitrogen_statistics,2022,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/nitrogen_statistics/2022/nitro-ert.xlsx
+nitrogen_statistics,2023,primary,latest supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2023-nitro-ERT.xlsx
+nitrogen_statistics,2023,archive,latest supported,2026-02-26,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2023/myb1-2023-nitro-ERT.xlsx
+nitrogen_statistics,2022,primary,supported,2025-12-02,,https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/myb1-2022-nitro-ert.xlsx
+nitrogen_statistics,2022,archive,supported,2026-01-13,,https://data.pypsa.org/workflows/eur/nitrogen_statistics/2022/nitro-ert.xlsx
+nitrogen_statistics,2022,tyndp-archive,supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/nitrogen_statistics/2022/nitro-ert.xlsx
 nuts3_population,13-03-2025,primary,latest supported,2025-12-02,,https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/nama_10r_3popgdp?format=TSV&compressed=true
 nuts3_population,13-03-2025,archive,latest supported,2026-01-13,earlier part of zenodo bundle,https://data.pypsa.org/workflows/eur/nuts3_population/13-03-2025/nama_10r_3popgdp.tsv.gz
 nuts3_population,13-03-2025,tyndp-archive,latest supported,2026-05-08,earlier part of zenodo bundle,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/nuts3_population/13-03-2025/nama_10r_3popgdp.tsv.gz
+ons_lad,may-2024,primary,latest supported,2026-02-02,API request used,https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Authority_Districts_May_2024_Boundaries__UK_BSC/FeatureServer/0/query
+ons_lad,may-2024,archive,latest supported,2026-02-17,API request used,https://data.pypsa.org/workflows/eur/ons_lad/may-2024/ons_lad.geojson
 open_tyndp_prelim,0.7.1,primary,not-supported,2026-06-02,Open-TYNDP preliminary outcomes,https://zenodo.org/records/20303009
 open_tyndp_prelim,0.7.1,archive,latest supported,2026-06-02,Open-TYNDP preliminary outcomes (results-0.7.1.zip),https://zenodo.org/records/20303009/files/results-0.7.1.zip
 open_tyndp_prelim,0.7.1,tyndp-archive,latest supported,2026-06-02,Open-TYNDP preliminary outcomes (results-0.7.1.zip),https://storage.googleapis.com/open-tyndp-data-store/outcomes/0.7.1/results-0.7.1.zip
@@ -200,8 +207,9 @@ ship_raster,v5,primary,latest supported,2025-12-02,,https://datacatalogfiles.wor
 ship_raster,v5,archive,latest supported,2026-01-13,,https://data.pypsa.org/workflows/eur/ship_raster/v5/shipdensity_global.zip
 ship_raster,v5,tyndp-archive,latest supported,2026-05-08,,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/ship_raster/v5/shipdensity_global.zip
 swiss_energy_balances,2025-10-01,primary,latest supported,2026-02-12,,https://pubdb.bfe.admin.ch/de/publication/download/12361
+swiss_energy_balances,2025-10-01,archive,latest supported,2026-02-16,,https://web.archive.org/web/20260216/https%3A//pubdb.bfe.admin.ch/de/publication/download/12361
 synthetic_electricity_demand,v2,primary,latest supported,2025-12-02,the primary is already from Zenodo published by original authors,https://zenodo.org/records/10820928/files/demand_hourly.csv
-synthetic_electricity_demand,v2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/v2
+synthetic_electricity_demand,v2,archive,latest supported,2026-01-20,the primary is already from Zenodo published by original authors,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/v2/demand_hourly.csv
 synthetic_electricity_demand,v2,tyndp-archive,latest supported,2026-05-08,the primary is already from Zenodo published by original authors,https://storage.googleapis.com/open-tyndp-data-store/archive/eur/synthetic_electricity_demand/v2
 synthetic_electricity_demand,0.1.0,archive,deprecated might-work,2026-01-13,,https://data.pypsa.org/workflows/eur/synthetic_electricity_demand/0.1.0/demand_hourly.csv
 tyndp,2024,primary,latest supported,2026-02-05,,https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs
diff --git a/doc/Makefile b/doc/Makefile
deleted file mode 100644
index 3937548fb6..0000000000
--- a/doc/Makefile
+++ /dev/null
@@ -1,196 +0,0 @@
-# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-#
-# SPDX-License-Identifier: MIT
-
-# Makefile for Sphinx documentation
-#
-
-# You can set these variables from the command line.
-SPHINXOPTS    =
-SPHINXBUILD   = sphinx-build
-PAPER         =
-BUILDDIR      = _build
-
-# User-friendly check for sphinx-build
-ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1)
-$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/)
-endif
-
-# Internal variables.
-PAPEROPT_a4     = -D latex_paper_size=a4
-PAPEROPT_letter = -D latex_paper_size=letter
-ALLSPHINXOPTS   = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
-# the i18n builder cannot share the environment and doctrees with the others
-I18NSPHINXOPTS  = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
-
-.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest coverage gettext
-
-help:
-	@echo "Please use \`make <target>' where <target> is one of"
-	@echo "  html       to make standalone HTML files"
-	@echo "  dirhtml    to make HTML files named index.html in directories"
-	@echo "  singlehtml to make a single large HTML file"
-	@echo "  pickle     to make pickle files"
-	@echo "  json       to make JSON files"
-	@echo "  htmlhelp   to make HTML files and a HTML help project"
-	@echo "  qthelp     to make HTML files and a qthelp project"
-	@echo "  applehelp  to make an Apple Help Book"
-	@echo "  devhelp    to make HTML files and a Devhelp project"
-	@echo "  epub       to make an epub"
-	@echo "  latex      to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
-	@echo "  latexpdf   to make LaTeX files and run them through pdflatex"
-	@echo "  latexpdfja to make LaTeX files and run them through platex/dvipdfmx"
-	@echo "  text       to make text files"
-	@echo "  man        to make manual pages"
-	@echo "  texinfo    to make Texinfo files"
-	@echo "  info       to make Texinfo files and run them through makeinfo"
-	@echo "  gettext    to make PO message catalogs"
-	@echo "  changes    to make an overview of all changed/added/deprecated items"
-	@echo "  xml        to make Docutils-native XML files"
-	@echo "  pseudoxml  to make pseudoxml-XML files for display purposes"
-	@echo "  linkcheck  to check all external links for integrity"
-	@echo "  doctest    to run all doctests embedded in the documentation (if enabled)"
-	@echo "  coverage   to run coverage check of the documentation (if enabled)"
-
-clean:
-	rm -rf $(BUILDDIR)/*
-
-html:
-	$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
-	@echo
-	@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
-
-dirhtml:
-	$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
-	@echo
-	@echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml."
-
-singlehtml:
-	$(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml
-	@echo
-	@echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml."
-
-pickle:
-	$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
-	@echo
-	@echo "Build finished; now you can process the pickle files."
-
-json:
-	$(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json
-	@echo
-	@echo "Build finished; now you can process the JSON files."
-
-htmlhelp:
-	$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp
-	@echo
-	@echo "Build finished; now you can run HTML Help Workshop with the" \
-	      ".hhp project file in $(BUILDDIR)/htmlhelp."
-
-qthelp:
-	$(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp
-	@echo
-	@echo "Build finished; now you can run "qcollectiongenerator" with the" \
-	      ".qhcp project file in $(BUILDDIR)/qthelp, like this:"
-	@echo "# qcollectiongenerator $(BUILDDIR)/qthelp/PyPSA.qhcp"
-	@echo "To view the help file:"
-	@echo "# assistant -collectionFile $(BUILDDIR)/qthelp/PyPSA.qhc"
-
-applehelp:
-	$(SPHINXBUILD) -b applehelp $(ALLSPHINXOPTS) $(BUILDDIR)/applehelp
-	@echo
-	@echo "Build finished. The help book is in $(BUILDDIR)/applehelp."
-	@echo "N.B. You won't be able to view it unless you put it in" \
-	      "~/Library/Documentation/Help or install it in your application" \
-	      "bundle."
-
-devhelp:
-	$(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp
-	@echo
-	@echo "Build finished."
-	@echo "To view the help file:"
-	@echo "# mkdir -p $$HOME/.local/share/devhelp/PyPSA"
-	@echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/PyPSA"
-	@echo "# devhelp"
-
-epub:
-	$(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub
-	@echo
-	@echo "Build finished. The epub file is in $(BUILDDIR)/epub."
-
-latex:
-	$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
-	@echo
-	@echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex."
-	@echo "Run \`make' in that directory to run these through (pdf)latex" \
-	      "(use \`make latexpdf' here to do that automatically)."
-
-latexpdf:
-	$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
-	@echo "Running LaTeX files through pdflatex..."
-	$(MAKE) -C $(BUILDDIR)/latex all-pdf
-	@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
-
-latexpdfja:
-	$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
-	@echo "Running LaTeX files through platex and dvipdfmx..."
-	$(MAKE) -C $(BUILDDIR)/latex all-pdf-ja
-	@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
-
-text:
-	$(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text
-	@echo
-	@echo "Build finished. The text files are in $(BUILDDIR)/text."
-
-man:
-	$(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man
-	@echo
-	@echo "Build finished. The manual pages are in $(BUILDDIR)/man."
-
-texinfo:
-	$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
-	@echo
-	@echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo."
-	@echo "Run \`make' in that directory to run these through makeinfo" \
-	      "(use \`make info' here to do that automatically)."
-
-info:
-	$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
-	@echo "Running Texinfo files through makeinfo..."
-	make -C $(BUILDDIR)/texinfo info
-	@echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo."
-
-gettext:
-	$(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale
-	@echo
-	@echo "Build finished. The message catalogs are in $(BUILDDIR)/locale."
-
-changes:
-	$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
-	@echo
-	@echo "The overview file is in $(BUILDDIR)/changes."
-
-linkcheck:
-	$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
-	@echo
-	@echo "Link check complete; look for any errors in the above output " \
-	      "or in $(BUILDDIR)/linkcheck/output.txt."
-
-doctest:
-	$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
-	@echo "Testing of doctests in the sources finished, look at the " \
-	      "results in $(BUILDDIR)/doctest/output.txt."
-
-coverage:
-	$(SPHINXBUILD) -b coverage $(ALLSPHINXOPTS) $(BUILDDIR)/coverage
-	@echo "Testing of coverage in the sources finished, look at the " \
-	      "results in $(BUILDDIR)/coverage/python.txt."
-
-xml:
-	$(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml
-	@echo
-	@echo "Build finished. The XML files are in $(BUILDDIR)/xml."
-
-pseudoxml:
-	$(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml
-	@echo
-	@echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml."
diff --git a/doc/assets/stylesheets/extra.css b/doc/assets/stylesheets/extra.css
new file mode 100644
index 0000000000..6d773abde9
--- /dev/null
+++ b/doc/assets/stylesheets/extra.css
@@ -0,0 +1,13 @@
+/*
+ * SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+ *
+ * SPDX-License-Identifier: MIT
+ */
+:root > * {
+  --md-primary-fg-color:        #4b73d7;
+  --md-primary-fg-color--light: #749bfb;
+  --md-primary-fg-color--dark:  #3d5696;
+  --md-primary-bg-color:           white;
+  --md-accent-fg-color: rgb(75, 115, 215, 0.5);
+  --md-typeset-a-color:    #4b73d7;
+}
\ No newline at end of file
diff --git a/doc/benchmarking.md b/doc/benchmarking.md
new file mode 100644
index 0000000000..ca228016ef
--- /dev/null
+++ b/doc/benchmarking.md
@@ -0,0 +1,260 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Benchmarking
+
+Open-TYNDP includes a structured benchmarking framework that runs automatically with every
+workflow execution. It provides systematic, reproducible comparisons of Open-TYNDP model
+outcomes against official TYNDP 2024 reference data for both the Scenario Building (SB)
+and Cost-Benefit Analysis (CBA) phases.
+
+* **Scenario Building** outcomes are compared against the [TYNDP 2024 Market Model Output Files](https://2024.entsos-tyndp-scenarios.eu/download/) and the [TYNDP 2024 Final Scenario Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Report_FInal_Version_250128_web.pdf).
+* **Cost-Benefit Analysis** indicators are benchmarked for all calculated indicators and
+  all projects against the official [TYNDP 2024 CBA results](https://tyndp2024.entsoe.eu/projects-map/transmission).
+
+Benchmarking results continue to be published with every release on [Zenodo](https://doi.org/10.5281/zenodo.18608105) (currently only Scenario Building results).  View the [project website](https://open-tyndp.openenergytransition.org) for a detailed explanation of the results.
+
+!!! warning
+    Open-TYNDP is under active development and is not yet feature-complete. The current
+    [development status](index.md#development-status)
+    and the general [Limitations](limitations.md)
+    are important to understand before using the model. The following outputs are presented
+    for illustrative purposes and do not reflect the quality of the results.
+
+## Benchmarking Methodology
+
+The benchmarking is based on the methodology proposed by [Wen et al. (2022)](https://www.sciencedirect.com/science/article/pii/S0306261922011667). This methodology
+provides a multi-criteria approach to ensure:
+
+- the **diversity** (each indicator has its own added value),
+- the **effectiveness** (each indicator provides essential and correct information),
+- the **robustness** (against diverse units and orders of magnitude), and
+- the **compatibility** (can be used to compare across countries) of the selected set of
+  indicators.
+
+This methodology defines the following accuracy indicators:
+
+- **Missing**: Count of carriers / sectors dropped due to missing values.
+- **sMPE** (Symmetric Mean Percentage Error): Indicates the direction of the deviation,
+  showing if outputs are overall overestimated or underestimated.
+- **sMAPE** (Symmetric Mean Absolute Percentage Error): Indicates the absolute magnitude
+  of the deviations, avoiding the cancellation of negative and positive errors.
+- **sMdAPE** (Symmetric Median Absolute Percentage Error): Provides skewness information
+  to complement sMAPE.
+- **RMSLE** (Root Mean Square Logarithmic Error): Complements the percentage errors by
+  showing logarithmic deviation values.
+- **Growth error**: Shows the error on the temporal scale. This indicator is not applied
+  to dynamic time series (i.e. hourly generation profiles).
+
+## Scenario Building Benchmarking
+
+### Metrics
+
+The following metrics from the [TYNDP 2024 Scenarios Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Report_FInal_Version_250128_web.pdf)
+are considered relevant for Scenario Building benchmarking:
+
+* Exogenous inputs:
+
+  * Final energy demand by fuel, EU27 (TWh), (Fig 5, p24 and Fig 51, p63)
+  * Electricity demand per sector, EU27 (TWh), (Fig 6, p25 and Fig 52, p63)
+  * Methane demand by sector, EU27 (TWh), (Fig 8, p27 and Fig 53, p64)
+  * Hydrogen demand by sector, EU27 (TWh), (Fig 10, p28 and Fig 54, p64)
+
+* Investment and dispatch modelling outputs:
+
+  * Net installed capacity for electricity generation, EU27 (GW), (Fig 25, p39 and Fig 55, p65)
+  * Electricity generation, EU27 (TWh), (Fig 26, p39 and Fig 56, p65)
+  * Methane supply, EU27 (TWh), (Fig 32, p45 and Fig 57, p66)
+  * Hydrogen supply, EU27 (TWh), (Fig 33, p46 and Fig 58, p67)
+  * Biomass supply, EU27 (TWh), (Fig 59, p67)
+  * Energy imports, EU27 (TWh), (Fig 40, p51 and Fig 60, p68)
+  * Hourly generation profile of power generation, (Fig 30, p35)
+
+The data is published in the [Scenarios package](https://2024-data.entsos-tyndp-scenarios.eu/files/reports/TYNDP-2024-Scenarios-Package-20250128.zip).
+In addition to the Scenarios Report data, data from the [Market Model Outputs](https://2024.entsos-tyndp-scenarios.eu/download/) and the [Visualisation Platform](https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/) are also processed and
+included in the relevant figures.
+
+Hourly time series from TYNDP 2024 are aggregated to match the temporal resolution of
+Open-TYNDP. Summary tables are computed for both overall and per-carrier results. Spatially
+resolved benchmarking at bus and country level is available via the
+`benchmarking.spatial.by_bus` and `benchmarking.spatial.by_country` configuration keys.
+
+### Workflow
+
+The SB benchmarking workflow is controlled by `config/benchmarking.default.yaml`.
+
+1. `retrieve_tyndp`: Retrieve the TYNDP 2024 Scenarios Report Data Figures package.
+2. `clean_tyndp_report_benchmark`: Read and process the raw Scenarios Report data into
+   a long-format table.
+3. `clean_tyndp_vp_data`: Read and process the Visualisation Platform data into a
+   long-format table.
+4. `clean_tyndp_output_benchmark`: Read and process the Market Model Outputs, including
+   cross-border flows, prices, and country and EU27 level values.
+5. `build_statistics`: Compute benchmarking statistics from the optimised network for
+   every planning horizon.
+6. `make_benchmark`: Compute accuracy indicators comparing model outcomes against the
+   Market Model Outputs, Scenarios Report, and Visualisation Platform.
+7. `make_benchmarks`: Collect outputs from all `make_benchmark` runs.
+8. `plot_benchmark`: Generate visualisation outputs.
+9. `plot_benchmarks`: Collect outputs from all `plot_benchmark` runs.
+
+The full set of benchmarking output files is stored under `results/benchmarks/tyndp-2024/`:
+
+* `resources/` — processed benchmarking inputs from both Open-TYNDP and TYNDP 2024.
+* `csvs_s_{clusters}_{opts}_{sector_opts}_all_years/` — quantitative tables.
+* `graphics_s_{clusters}_{opts}_{sector_opts}_all_years/` — figures.
+* `kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.csv` — summary table aggregated from bus level KPIs.
+* `kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.csv` — summary table aggregated from country level KPIs.
+* `kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.pdf` — summary figure aggregated from bus level KPIs.
+* `kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.pdf` — summary figure aggregated from country level KPIs.
+
+The structure of these outputs can be validated in the published preliminary benchmarking results on [Zenodo](https://doi.org/10.5281/zenodo.18608105).
+
+![](img/tyndp/benchmarking_workflow.png)
+
+### Outputs
+
+Example of indicators extracted from `power_generation_cy2009_s_all___all_years.csv` by countries
+for the NT scenario with hourly resolution:
+
+| Carrier | sMPE | sMAPE | sMdAPE | RMSLE | Growth Error | Missing countries | reference | version |
+|---|---|---|---|---|---|---|---|---|
+| **Coal + other fossil (incl. biofuels)** | 0.3 | 0.76 | 0.25 | 8.92 | -1.87 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Hydro (exc. pump storage)** | 0.01 | 0.03 | 0.0 | 0.06 | 0.02 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Hydrogen** | -0.93 | 1.19 | 1.21 | 6.0 | -0.51 | 1 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Methane (incl. biofuels)** | -0.21 | 0.34 | 0.17 | 0.65 | 0.16 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Nuclear** | 0.08 | 0.08 | 0.07 | 0.08 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Oil (incl. biofuels)** | 0.83 | 1.18 | 0.95 | 10.68 | 0.12 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Other non-res** | -0.23 | 0.31 | 0.06 | 1.16 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Other res** | 0 | 0 | 0 | 0 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Solar** | 0 | 0.01 | 0 | 0.02 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Wind offshore** | -0.1 | 0.11 | 0 | 6.23 | 0.01 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Wind onshore** | 0 | 0 | 0 | 0 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Demand shedding** | 1.63 | 1.8 | 2.0 | 13.51 | 0.03 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| **Solar thermal** | — | — | — | — | — | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+
+Example of figure created for the final energy demand for the NT scenario in 2030 with
+hourly resolution:
+
+![](img/tyndp/benchmarking_fed_NT_2030.png)
+
+Example of figure including Visualisation Platform data created for the power capacity for
+the NT scenario in 2030 with hourly resolution:
+
+![](img/tyndp/benchmarking_power_capacity_NT_2030.png)
+
+Example of figure created for the cross-border flows between countries (focusing on incorrect net direction) for the NT scenario in 2030 with
+hourly resolution:
+
+![](img/tyndp/benchmarking_elec_crossborder_NT_2030.png)
+
+Example of figure created for the electricity prices by country for the NT scenario in 2030 with
+hourly resolution:
+
+![](img/tyndp/benchmarking_elec_price_NT_2030.png)
+
+Example of figure created for the generation profiles for the DE scenario in 2040 with 45SEG:
+
+![](img/tyndp/benchmarking_gen_profiles_DE_2040.png)
+
+Example of summary indicators extracted from `kpis_s_all__all_years_by_country.csv` for the NT
+scenario with hourly resolution:
+
+| Metric | sMPE | sMAPE | sMdAPE | RMSLE | Growth Error | Missing carriers | Missing countries | reference | version |
+|---|---|---|---|---|---|---|---|---|---|
+| biomass_supply | 0.14 | 0.14 | 0.11 | 0.2 | 0 | 2 | 0 | TYNDP 2024 Scenarios Report | v0.7.1 |
+| crossborder_electricity | -0.03 | 0.56 | 0.3 | 2.29 | 0 | 0 | 27 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| crossborder_hydrogen | -0.02 | 0.31 | 0.13 | 0.47 | 0.05 | 0 | 1 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| electricity_demand | 0 | 0 | 0 | 0 | 0 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| electricity_demand_shedding_hours | 0.41 | 0.52 | 0 | 6.54 | 0.21 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| electricity_price | 0.11 | 0.19 | 0.07 | 0.3 | 0.05 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| electricity_price_excl_shed | -0.04 | 0.12 | 0.07 | 0.19 | -0.02 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| energy_imports | 0.52 | 0.52 | 0.3 | 1.15 | 0.01 | 1 | 0 | TYNDP 2024 Scenarios Report | v0.7.1 |
+| final_energy_demand | 0.11 | 0.11 | 0.09 | 0.15 | 0.01 | 0 | 0 | TYNDP 2024 Scenarios Report | v0.7.1 |
+| generation_profiles | — | — | — | — | — | NA | NA | — | v0.7.1 |
+| hydrogen_demand | -0.22 | 0.28 | 0 | 2.96 | 0 | 0 | 1 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| hydrogen_demand_shedding_hours | 0.38 | 0.38 | 0 | 5.64 | 0 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| hydrogen_price | 0.11 | 0.16 | 0.03 | 0.27 | 0 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| hydrogen_price_excl_shed | 0.01 | 0.06 | 0.02 | 0.11 | 0 | 0 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| hydrogen_supply | -0.15 | 0.38 | 0.13 | 2.05 | 0.06 | 1 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| methane_demand | -0.1 | 0.17 | 0.16 | 0.21 | 0 | 0 | 0 | TYNDP 2024 Scenarios Report | v0.7.1 |
+| methane_supply | 0.1 | 0.1 | 0.1 | 0.1 | 0 | 4 | 0 | TYNDP 2024 Scenarios Report | v0.7.1 |
+| power_capacity | 0 | 0 | 0 | 0.01 | 0 | 1 | 0 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| power_generation | 0.28 | 0.51 | 0.05 | 6.99 | 0 | 1 | 1 | TYNDP 2024 Market Model Outputs | v0.7.1 |
+| Total (excl. time series) | 0.14 | 0.31 | 0.03 | 1.48 | 0 | 13 | — | — | v0.7.1 |
+
+Example of summary figure created for the NT scenario with hourly resolution:
+
+![](img/tyndp/benchmarking_overview_NT.png)
+
+### Naming conventions
+
+To align naming conventions across data sources, Open-TYNDP uses a mapping table defined in [tyndp_technology_map.csv](https://github.com/open-energy-transition/open-tyndp/blob/master/data/tyndp_technology_map.csv). This table maps the different naming conventions between the Open-TYNDP, various input data sources and benchmarking tables. It contains the following columns:
+
+* **pemmdb_carrier**: Higher level carrier names as listed in the PEMMDB v2.4 dataset.
+* **pemmdb_type**: Specific carrier technology type as listed in the PEMMDB v2.4 dataset.
+* **pemmdb_hydro_inflows**: Carrier names as listed in the PEMMDB v2.4 hydro inflows dataset.
+* **pecd_carrier**: Carrier names as listed in the PECD v3.1 dataset.
+* **investment_dataset_carrier**: Carrier names as listed in the TYNDP 2024 investment dataset.
+* **tyndp_output_carrier**: Carrier names as listed in the TYNDP 2024 Market Model output files.
+* **tyndp_report_carrier**: Carrier names as listed in the TYNDP 2024 Scenarios Report.
+* **tyndp_vp_carrier**: Carrier names as listed on the TYNDP 2024 Visualization Platform.
+* **open_tyndp_carrier**: Open-TYNDP carrier naming convention representing either an energy carrier or a technology, depending on the context.
+* **open_tyndp_index**: Open-TYNDP technology naming convention found in the component index.
+* **open_tyndp_nice_names**: Open-TYNDP nice names for better readability and aggregation of technologies for reporting purposes.
+* **benchmarking_capacity**: Naming convention for the benchmarking framework's `power_capacity` table.
+* **benchmarking_generation**: Naming convention for the benchmarking framework's `power_generation` table.
+* **benchmarking_generation_profiles**: Naming convention for the benchmarking framework's `generation_profiles` table.
+* **benchmarking_fed**: Naming convention for the benchmarking framework's `final_energy_demand` table.
+* **benchmarking_elec_demand**: Naming convention for the benchmarking framework's `electricity_demand` table.
+* **benchmarking_ch4_demand**: Naming convention for the benchmarking framework's `methane_demand` table.
+* **benchmarking_h2_demand**: Naming convention for the benchmarking framework's `hydrogen_demand` table.
+* **benchmarking_ch4_supply**: Naming convention for the benchmarking framework's `methane_supply` table.
+* **benchmarking_h2_supply**: Naming convention for the benchmarking framework's `hydrogen_supply` table.
+* **benchmarking_biomass_supply**: Naming convention for the benchmarking framework's `biomass_supply` table.
+* **benchmarking_energy_imports**: Naming convention for the benchmarking framework's `energy_imports` table.
+* **benchmarking_prices**: Naming convention for the benchmarking framework's different `price` tables.
+* **benchmarking_shed_hours**: Naming convention for the benchmarking framework's `electricity_demand_shedding_hours` and `hydrogen_demand_shedding_hours` tables.
+* **open_tyndp_type**: Open-TYNDP technology type for grouping together detailed technologies if `electricity:group_tyndp_conventionals` is enabled in the configuration.
+* **pypsa_eur_carrier**: Corresponding PyPSA-Eur carrier/technology if applicable.
+* **comment**: Any additional comments.
+
+## Cost-Benefit Analysis Benchmarking
+
+CBA indicators computed by Open-TYNDP are benchmarked against the official [TYNDP 2024 CBA results](https://tyndp2024.entsoe.eu/projects-map/transmission) for all calculated
+indicators (B1-B4) and all transmission projects. The comparison covers both individual climate year
+runs and multi-climate year averages.
+
+### Metrics
+
+The following CBA indicators are benchmarked:
+
+* **B1: Social Economic Welfare (SEW):** Quantifies the change in operational system costs (socio-economic welfare).
+* **B2: Social costs of CO2 emissions:** Calculates the impact using societal cost assumptions (low, central, high).
+* **B3: RES integration costs:** Tracks changes in renewable capacity, generation, and avoided curtailment.
+* **B4: Non-direct greenhouse emissions:** Quantifies pollutants (NOx, SO2, PM, etc.) using fuel consumption multipliers.
+
+### Per Climate Year
+
+Indicators are first benchmarked for each individual climate year run (e.g. CY2009, CY2008,
+CY1995). This allows deviations to be traced to specific weather conditions and isolates
+the effect of inter-annual climate variability on project benefits. For each climate year,
+all four indicators (B1–B4) are compared against the TYNDP 2024 reference values for every
+transmission project.
+
+### Averaged Indicators
+
+Following the TYNDP 2024 methodology, indicators are also compared after averaging across
+the three climate years. A weighted average is calculated using weights for each climate year provided by the [TYNDP 2024 CBA Implementation Guidelines](https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1n): 0.233 for 1995, 0.367 for 2008 and 0.4 for 2009.
+
+This averaged comparison is the primary benchmarking target, as it
+reflects the same aggregation approach used in the official TYNDP 2024 CBA. Deviations in
+the averaged indicators provide the most direct measure of how closely Open-TYNDP reproduces
+the official CBA outcomes at the project level.
+
+### Workflow
+
+The CBA benchmarking workflow runs automatically after the CBA solve steps and produces
+per-indicator, per-project comparison figures and summary tables for both the individual
+climate year and averaged results. Output files follow the same structure as the SB
+benchmarking and are stored under `results/[run]/cba/`.
diff --git a/doc/benchmarking.rst b/doc/benchmarking.rst
deleted file mode 100644
index e77b8c4282..0000000000
--- a/doc/benchmarking.rst
+++ /dev/null
@@ -1,291 +0,0 @@
-..
-  SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-
-  SPDX-License-Identifier: CC-BY-4.0
-
-############
-Benchmarking
-############
-
-Open-TYNDP includes a structured benchmarking framework that runs automatically with every
-workflow execution. It provides systematic, reproducible comparisons of Open-TYNDP model
-outcomes against official TYNDP 2024 reference data for both the Scenario Building (SB)
-and Cost-Benefit Analysis (CBA) phases.
-
-* **Scenario Building** outcomes are compared against the `TYNDP 2024 Market Model Output
-  Files <https://2024.entsos-tyndp-scenarios.eu/download/>`_ and the `TYNDP 2024 Final
-  Scenario Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Report_FInal_Version_250128_web.pdf>`_.
-* **Cost-Benefit Analysis** indicators are benchmarked for all calculated indicators and
-  all projects against the official `TYNDP 2024 CBA results
-  <https://tyndp2024.entsoe.eu/projects-map/transmission>`_.
-
-Benchmarking results are published with every release on `Zenodo
-<https://doi.org/10.5281/zenodo.18608105>`_ (currently only Scenario Building results).
-
-.. warning::
-    Open-TYNDP is under active development and is not yet feature-complete. The current
-    `development status <https://open-tyndp.readthedocs.io/en/latest/index.html#development-status>`__
-    and the general `Limitations <https://open-tyndp.readthedocs.io/en/latest/limitations.html>`__
-    are important to understand before using the model. The following outputs are presented
-    for illustrative purposes and do not reflect the quality of the results.
-
-Benchmarking Methodology
-========================
-
-The benchmarking is based on the methodology proposed by `Wen et al. (2022)
-<https://www.sciencedirect.com/science/article/pii/S0306261922011667>`_. This methodology
-provides a multi-criteria approach to ensure:
-
-- the **diversity** (each indicator has its own added value),
-- the **effectiveness** (each indicator provides essential and correct information),
-- the **robustness** (against diverse units and orders of magnitude), and
-- the **compatibility** (can be used to compare across countries) of the selected set of
-  indicators.
-
-This methodology defines the following accuracy indicators:
-
-- **Missing**: Count of carriers / sectors dropped due to missing values.
-- **sMPE** (Symmetric Mean Percentage Error): Indicates the direction of the deviation,
-  showing if outputs are overall overestimated or underestimated.
-- **sMAPE** (Symmetric Mean Absolute Percentage Error): Indicates the absolute magnitude
-  of the deviations, avoiding the cancellation of negative and positive errors.
-- **sMdAPE** (Symmetric Median Absolute Percentage Error): Provides skewness information
-  to complement sMAPE.
-- **RMSLE** (Root Mean Square Logarithmic Error): Complements the percentage errors by
-  showing logarithmic deviation values.
-- **Growth error**: Shows the error on the temporal scale. This indicator is not applied
-  to dynamic time series (i.e. hourly generation profiles).
-
-Scenario Building Benchmarking
-===============================
-
-Metrics
--------
-
-The following metrics from the `TYNDP 2024 Scenarios Report
-<https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Report_FInal_Version_250128_web.pdf>`_
-are considered relevant for Scenario Building benchmarking:
-
-* Exogenous inputs:
-
-  * Final energy demand by fuel, EU27 (TWh), (Fig 5, p24 and Fig 51, p63)
-  * Electricity demand per sector, EU27 (TWh), (Fig 6, p25 and Fig 52, p63)
-  * Methane demand by sector, EU27 (TWh), (Fig 8, p27 and Fig 53, p64)
-  * Hydrogen demand by sector, EU27 (TWh), (Fig 10, p28 and Fig 54, p64)
-
-* Investment and dispatch modelling outputs:
-
-  * Net installed capacity for electricity generation, EU27 (GW), (Fig 25, p39 and Fig 55, p65)
-  * Electricity generation, EU27 (TWh), (Fig 26, p39 and Fig 56, p65)
-  * Methane supply, EU27 (TWh), (Fig 32, p45 and Fig 57, p66)
-  * Hydrogen supply, EU27 (TWh), (Fig 33, p46 and Fig 58, p67)
-  * Biomass supply, EU27 (TWh), (Fig 59, p67)
-  * Energy imports, EU27 (TWh), (Fig 40, p51 and Fig 60, p68)
-  * Hourly generation profile of power generation, (Fig 30, p35)
-
-The data is published in the `Scenarios package
-<https://2024-data.entsos-tyndp-scenarios.eu/files/reports/TYNDP-2024-Scenarios-Package-20250128.zip>`_.
-In addition to the Scenarios Report data, data from the `Market Model
-Outputs <https://2024.entsos-tyndp-scenarios.eu/download/>`_ and the `Visualisation Platform
-<https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/>`_ are also processed and
-included in the relevant figures.
-
-Hourly time series from TYNDP 2024 are aggregated to match the temporal resolution of
-Open-TYNDP. Summary tables are computed for both overall and per-carrier results. Spatially
-resolved benchmarking at bus and country level is available via the
-``benchmarking.spatial.by_bus`` and ``benchmarking.spatial.by_country`` configuration keys.
-
-Workflow
---------
-
-The SB benchmarking workflow is controlled by ``config/benchmarking.default.yaml``.
-
-#. ``retrieve_tyndp``: Retrieve the TYNDP 2024 Scenarios Report Data Figures package.
-#. ``clean_tyndp_report_benchmark``: Read and process the raw Scenarios Report data into
-   a long-format table.
-#. ``clean_tyndp_vp_data``: Read and process the Visualisation Platform data into a
-   long-format table.
-#. ``clean_tyndp_output_benchmark``: Read and process the Market Model Outputs, including
-   cross-border flows, prices, and country and EU27 level values.
-#. ``build_statistics``: Compute benchmarking statistics from the optimised network for
-   every planning horizon.
-#. ``make_benchmark``: Compute accuracy indicators comparing model outcomes against the
-   Market Model Outputs, Scenarios Report, and Visualisation Platform.
-#. ``make_benchmarks``: Collect outputs from all ``make_benchmark`` runs.
-#. ``plot_benchmark``: Generate visualisation outputs.
-#. ``plot_benchmarks``: Collect outputs from all ``plot_benchmark`` runs.
-
-The full set of benchmarking output files is stored under ``results/benchmarks/tyndp-2024/``:
-
-* ``resources/`` — processed benchmarking inputs from both Open-TYNDP and TYNDP 2024.
-* ``csvs_s_{clusters}_{opts}_{sector_opts}_all_years/`` — quantitative tables.
-* ``graphics_s_{clusters}_{opts}_{sector_opts}_all_years/`` — figures.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.csv`` — summary table aggregated from bus level KPIs.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.csv`` — summary table aggregated from country level KPIs.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.pdf`` — summary figure aggregated from bus level KPIs.
-* ``kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.pdf`` — summary figure aggregated from country level KPIs.
-
-The structure of these outputs can be validated in the published preliminary benchmarking results on `Zenodo
-<https://doi.org/10.5281/zenodo.18608105>`_
-
-.. image:: img/tyndp/benchmarking_workflow.png
-
-Outputs
--------
-
-Example of indicators extracted from ``power_generation_cy2009_s_all___all_years.csv`` by countries
-for the NT scenario with hourly resolution:
-
-========================================  =====  ======  ========  =====  ============  =================  ===============================  =======
-Carrier                                   sMPE   sMAPE   sMdAPE    RMSLE  Growth Error  Missing countries  reference                        version
-========================================  =====  ======  ========  =====  ============  =================  ===============================  =======
-**Coal + other fossil (incl. biofuels)**  0.3    0.76    0.25      8.92   -1.87         0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Hydro (exc. pump storage)**             0.01   0.03    0.0       0.06   0.02          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Hydrogen**                              -0.93  1.19    1.21      6.0    -0.51         1                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Methane (incl. biofuels)**              -0.21  0.34    0.17      0.65   0.16          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Nuclear**                               0.08   0.08    0.07      0.08   0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Oil (incl. biofuels)**                  0.83   1.18    0.95      10.68  0.12          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Other non-res**                         -0.23  0.31    0.06      1.16   0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Other res**                             0      0       0         0      0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Solar**                                 0      0.01    0         0.02   0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Wind offshore**                         -0.1   0.11    0         6.23   0.01          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Wind onshore**                          0      0       0         0      0             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Demand shedding**                       1.63   1.8     2.0       13.51  0.03          0                  TYNDP 2024 Market Model Outputs   v0.7.1
-**Solar thermal**                         —      —       —         —      —             0                  TYNDP 2024 Market Model Outputs   v0.7.1
-========================================  =====  ======  ========  =====  ============  =================  ===============================  =======
-
-Example of figure created for the final energy demand for the NT scenario in 2030 with
-hourly resolution:
-
-.. image:: img/tyndp/benchmarking_fed_NT_2030.png
-
-Example of figure including Visualisation Platform data created for the power capacity for
-the NT scenario in 2030 with hourly resolution:
-
-.. image:: img/tyndp/benchmarking_power_capacity_NT_2030.png
-
-Example of figure created for the cross-border flows between countries (focusing on incorrect net direction) for the NT scenario in 2030 with
-hourly resolution:
-
-.. image:: img/tyndp/benchmarking_elec_crossborder_NT_2030.png
-
-Example of figure created for the electricity prices by country for the NT scenario in 2030 with
-hourly resolution:
-
-.. image:: img/tyndp/benchmarking_elec_price_NT_2030.png
-
-Example of figure created for the generation profiles for the DE scenario in 2040 with 45SEG:
-
-.. image:: img/tyndp/benchmarking_gen_profiles_DE_2040.png
-
-Example of summary indicators extracted from ``kpis_s_all__all_years_by_country.csv`` for the NT
-scenario with hourly resolution:
-
-=================================  =====  =====  ======  =====  ============  ================  =================  ===============================  =======
-Metric                             sMPE   sMAPE  sMdAPE  RMSLE  Growth Error  Missing carriers  Missing countries  reference                        version
-=================================  =====  =====  ======  =====  ============  ================  =================  ===============================  =======
-biomass_supply                     0.14   0.14   0.11    0.2    0             2                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-crossborder_electricity            -0.03  0.56   0.3     2.29   0             0                 27                 TYNDP 2024 Market Model Outputs  v0.7.1
-crossborder_hydrogen               -0.02  0.31   0.13    0.47   0.05          0                 1                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_demand                 0      0      0       0      0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_demand_shedding_hours  0.41   0.52   0       6.54   0.21          0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_price                  0.11   0.19   0.07    0.3    0.05          0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-electricity_price_excl_shed        -0.04  0.12   0.07    0.19   -0.02         0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-energy_imports                     0.52   0.52   0.3     1.15   0.01          1                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-final_energy_demand                0.11   0.11   0.09    0.15   0.01          0                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-generation_profiles                —      —      —       —      —             NA                NA                 —                                v0.7.1
-hydrogen_demand                    -0.22  0.28   0       2.96   0             0                 1                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_demand_shedding_hours     0.38   0.38   0       5.64   0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_price                     0.11   0.16   0.03    0.27   0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_price_excl_shed           0.01   0.06   0.02    0.11   0             0                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-hydrogen_supply                    -0.15  0.38   0.13    2.05   0.06          1                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-methane_demand                     -0.1   0.17   0.16    0.21   0             0                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-methane_supply                     0.1    0.1    0.1     0.1    0             4                 0                  TYNDP 2024 Scenarios Report      v0.7.1
-power_capacity                     0      0      0       0.01   0             1                 0                  TYNDP 2024 Market Model Outputs  v0.7.1
-power_generation                   0.28   0.51   0.05    6.99   0             1                 1                  TYNDP 2024 Market Model Outputs  v0.7.1
-Total (excl. time series)          0.14   0.31   0.03    1.48   0             13                —                  —                                v0.7.1
-=================================  =====  =====  ======  =====  ============  ================  =================  ===============================  =======
-
-Example of summary figure created for the NT scenario with hourly resolution:
-
-.. image:: img/tyndp/benchmarking_overview_NT.png
-
-Naming conventions
-------------
-
-To align naming conventions across data sources, Open-TYNDP uses a mapping table defined in `tyndp_technology_map.csv <https://github.com/open-energy-transition/open-tyndp/blob/master/data/tyndp_technology_map.csv>`_. This table maps the different naming conventions between the Open-TYNDP, various input data sources and benchmarking tables. It contains the following columns:
-
-* **pemmdb_carrier**: Higher level carrier names as listed in the PEMMDB v2.4 dataset.
-* **pemmdb_type**: Specific carrier technology type as listed in the PEMMDB v2.4 dataset.
-* **pemmdb_hydro_inflows**: Carrier names as listed in the PEMMDB v2.4 hydro inflows dataset.
-* **pecd_carrier**: Carrier names as listed in the PECD v3.1 dataset.
-* **investment_dataset_carrier**: Carrier names as listed in the TYNDP 2024 investment dataset.
-* **tyndp_output_carrier**: Carrier names as listed in the TYNDP 2024 Market Model output files.
-* **tyndp_report_carrier**: Carrier names as listed in the TYNDP 2024 Scenarios Report.
-* **tyndp_vp_carrier**: Carrier names as listed on the TYNDP 2024 Visualization Platform.
-* **open_tyndp_carrier**: Open-TYNDP carrier naming convention representing either an energy carrier or a technology, depending on the context.
-* **open_tyndp_index**: Open-TYNDP technology naming convention found in the component index.
-* **open_tyndp_nice_names**: Open-TYNDP nice names for better readability and aggregation of technologies for reporting purposes.
-* **benchmarking_capacity**: Naming convention for the benchmarking framework's ``power_capacity`` table.
-* **benchmarking_generation**: Naming convention for the benchmarking framework's ``power_generation`` table.
-* **benchmarking_generation_profiles**: Naming convention for the benchmarking framework's ``generation_profiles`` table.
-* **benchmarking_fed**: Naming convention for the benchmarking framework's ``final_energy_demand`` table.
-* **benchmarking_elec_demand**: Naming convention for the benchmarking framework's ``electricity_demand`` table.
-* **benchmarking_ch4_demand**: Naming convention for the benchmarking framework's ``methane_demand`` table.
-* **benchmarking_h2_demand**: Naming convention for the benchmarking framework's ``hydrogen_demand`` table.
-* **benchmarking_ch4_supply**: Naming convention for the benchmarking framework's ``methane_supply`` table.
-* **benchmarking_h2_supply**: Naming convention for the benchmarking framework's ``hydrogen_supply`` table.
-* **benchmarking_biomass_supply**: Naming convention for the benchmarking framework's ``biomass_supply`` table.
-* **benchmarking_energy_imports**: Naming convention for the benchmarking framework's ``energy_imports`` table.
-* **benchmarking_prices**: Naming convention for the benchmarking framework's different ``price`` tables.
-* **benchmarking_shed_hours**: Naming convention for the benchmarking framework's ``electricity_demand_shedding_hours`` and ``hydrogen_demand_shedding_hours`` tables.
-* **open_tyndp_type**: Open-TYNDP technology type for grouping together detailed technologies if ``electricity:group_tyndp_conventionals`` is enabled in the configuration.
-* **pypsa_eur_carrier**: Corresponding PyPSA-Eur carrier/technology if applicable.
-* **comment**: Any additional comments.
-
-Cost-Benefit Analysis Benchmarking
-====================================
-
-CBA indicators computed by Open-TYNDP are benchmarked against the official `TYNDP 2024 CBA
-results <https://tyndp2024.entsoe.eu/projects-map/transmission>`_ for all calculated
-indicators (B1-B4) and all transmission projects. The comparison covers both individual climate year
-runs and multi-climate year averages.
-
-Metrics
--------
-
-The following CBA indicators are benchmarked:
-
-* **B1: Social Economic Welfare (SEW):** Quantifies the change in operational system costs (socio-economic welfare).
-* **B2: Social costs of CO2 emissions:** Calculates the impact using societal cost assumptions (low, central, high).
-* **B3: RES integration costs:** Tracks changes in renewable capacity, generation, and avoided curtailment.
-* **B4: Non-direct greenhouse emissions:** Quantifies pollutants (NOx, SO2, PM, etc.) using fuel consumption multipliers.
-
-
-Per Climate Year
-----------------
-
-Indicators are first benchmarked for each individual climate year run (e.g. CY2009, CY2008,
-CY1995). This allows deviations to be traced to specific weather conditions and isolates
-the effect of inter-annual climate variability on project benefits. For each climate year,
-all four indicators (B1–B4) are compared against the TYNDP 2024 reference values for every
-transmission project.
-
-Averaged Indicators
--------------------
-
-Following the TYNDP 2024 methodology, indicators are also compared after averaging across
-the three climate years. A weighted average is calculated using weights for each climate year provided by the `TYNDP 2024 CBA Implementation Guidelines <https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1n>`_: 0.233 for 1995, 0.367 for 2008 and 0.4 for 2009.
-
-This averaged comparison is the primary benchmarking target, as it
-reflects the same aggregation approach used in the official TYNDP 2024 CBA. Deviations in
-the averaged indicators provide the most direct measure of how closely Open-TYNDP reproduces
-the official CBA outcomes at the project level.
-
-Workflow
---------
-
-The CBA benchmarking workflow runs automatically after the CBA solve steps and produces
-per-indicator, per-project comparison figures and summary tables for both the individual
-climate year and averaged results. Output files follow the same structure as the SB
-benchmarking and are stored under ``results/[run]/cba/``.
diff --git a/doc/cba.md b/doc/cba.md
new file mode 100644
index 0000000000..a96ed0a1e5
--- /dev/null
+++ b/doc/cba.md
@@ -0,0 +1,175 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Cost-Benefit Analysis (CBA)
+
+The Cost-Benefit Analysis (CBA) evaluates transmission and storage projects by comparing two dispatch-only simulations: a **reference network** (the baseline grid) and a **project network** (the grid with a specific project added or removed). Unlike the Scenario Building (SB) phase, the CBA does not re-optimize capacities; it reuses the SB's solved network, fixes capacities, and runs dispatch-only optimizations.
+
+![Workflow between Scenario Building and CBA](img/tyndp/SB-CBA-workflow-subsequent-h.png)
+
+## CBA Workflow Methodology
+
+The workflow evaluates projects using a **rolling horizon** approach where the full year is divided into sequential weekly windows (168 hourly snapshots each, with an overlap of 1 snapshot).
+
+To resolve **myopia**—where the optimizer cannot see beyond the current week and makes suboptimal decisions for seasonal storage (H2, gas, large hydro)—the workflow uses Marginal Storage Values (MSV) derived from a full-year optimization.
+
+![CBA rolling horizon pipeline diagram](img/tyndp/cba-rolling-horizon-pipeline.jpeg)
+
+### Network Simplification
+
+The SB network is transformed into a dispatch-ready CBA network:
+
+* **Fixed Capacities:** Capacities are fixed via `n.optimize.fix_optimal_capacities()`.
+* **Hurdle Costs:** A cost of 0.01 €/MWh is applied to all DC links.
+* **Fuel Capacities:** Primary fuel generator capacities (coal, gas, oil, nuclear) are set to infinity to prevent dispatch from being artificially restricted by fuel-supply limits during peak hours.
+
+### Reference Network
+
+The simplified network is extended to form the CBA reference baseline by adding all TOOT project capacities. This ensures the reference and MSV extraction operate on the same topology.
+
+### MSV Extraction
+
+The reference network is solved with **perfect foresight** (entire year, single LP). This exposes the shadow prices (`mu_energy_balance`) of energy balance constraints, representing the **Marginal Storage Value (MSV)**—the opportunity cost of stored energy at that moment.
+
+### Rolling Horizon Preparation
+
+The reference network and MSV results are combined through five transformations:
+
+* **(a) Initial storage state:** Seasonal components have their initial state set to the perfect foresight solution's last-snapshot value.
+* **(b) Disable cyclicity:** Short-term storage (battery) keeps cyclicity, while seasonal units (H2, gas, hydro) have it disabled, guided instead by MSVs.
+* **(c) Remove global constraints:** Annual CO2 and biomass limits are removed as they cannot be enforced consistently in weekly windows.
+* **(d) Disable annual volume limits:** Annual budgets for biomass/biogas are distributed proportionally to the perfect foresight dispatch.
+* **(e) Apply MSV:** The `mu_energy_balance` time series is written into the `marginal_cost` of storage components.
+* **(f) Hydro Pinning:** Large hydro reservoirs are pinned to their perfect-foresight state-of-charge values at window boundaries to guide dispatch where duals are near-zero.
+
+### Solve
+
+The prepared network is solved for the **Reference** baseline and then for each **Project**. Projects are evaluated using either **TOOT** (Take Out One at a Time) or **PINT** (Put IN at a Time) methods.
+
+## CBA Indicators
+
+Indicators are computed as the difference in system costs and emissions between the reference and project dispatch solutions.
+
+* **B1: Social Economic Welfare (SEW):** Quantifies the change in operational system costs (socio-economic welfare).
+* **B2: Social costs of CO2 emissions:** Calculates the impact using societal cost assumptions (low, central, high).
+* **B3: RES integration costs:** Tracks changes in renewable capacity, generation, and avoided curtailment.
+* **B4: Non-direct greenhouse emissions:** Quantifies pollutants (NOx, SO2, PM, etc.) using fuel consumption multipliers.
+
+## Configuration
+
+CBA settings are defined in the `cba` section of the configuration file. You can refer to
+the [configuration](configuration.md) page for a more comprehensive list of available PyPSA-Eur
+and Open-TYNDP configuration options.
+
+### Project Selection
+
+* `planning_horizons`: Selects horizons (e.g., 2030, 2040).
+* `projects`: Defines project identifiers (e.g., `t1-t35`).
+* `cba_scenario_input`: If `use_presolved` is true, the workflow retrieves pre-solved SB networks from an archive.
+
+### Rolling Horizon Settings
+
+* `storage.cyclic_carriers`: Carriers that remain cyclic within each weekly window.
+* `storage.soc_boundary_carriers`: Carriers pinned at window boundaries.
+* `msv_extraction.resolution`: Controls temporal resolution for the MSV solve (e.g., `24H`).
+
+## Running Single vs Multiple Climate Years
+
+Climate-year collections allow project benefits to be assessed across multiple weather years, consistent with the 2024 TYNDP implementation.
+
+The CBA entry point `pixi run tyndp-cba` can run a **single scenario** that is one single climate year or a **collection scenario** that defines a list of child (climate years) scenarios under `cba.scenarios`.
+
+Example Collection (`config/scenarios.tyndp.yaml`):
+
+```yaml
+NT-cy1995:
+#  <<: *cba-common
+snapshots:
+    start: "1995-01-01"
+    end: "1996-01-01"
+
+atlite:
+    default_cutout: europe-1995-sarah3-era5
+
+cba:
+    sb_scenario: NT
+
+
+NT-cy2008:
+#  <<: *cba-common
+snapshots:
+    start: "2008-01-01"
+    end: "2009-01-01"
+
+atlite:
+    default_cutout: europe-2008-sarah3-era5
+
+cba:
+    sb_scenario: NT
+
+
+NT-cy2009:
+#  <<: *cba-common
+snapshots:
+    start: "2009-01-01"
+    end: "2010-01-01"
+
+atlite:
+    default_cutout: europe-2009-sarah3-era5
+
+cba:
+    sb_scenario: NT
+
+NT-cyears:
+  cba:
+    scenarios: [NT-cy2009, NT-cy2008, NT-cy1995]
+```
+
+Individual child scenarios (e.g., `NT-cy2009`) must define their specific `snapshots`, `atlite.default_cutout`, and the `cba.sb_scenario` used as input.
+
+!!! tip
+
+    If too many parallel jobs cause out-of-memory issues, you can specify your machine's
+    physical RAM limit in `profiles/default/config.yaml` for Snakemake to use
+    when scheduling jobs:
+
+    ```yaml
+    resources:
+      mem_mb: 16000
+    ```
+
+### Running Multiple Years
+
+To run a collection like `NT-cyears`, modify `run.name` in `config/config.tyndp.yaml` or override it via command line:
+
+```console
+$ pixi run tyndp-cba --config run='{"name":"NT-cyears"}'
+```
+
+### Running a Single Climate Year
+
+Similarly, a single climate year can be run by modifying `run.name` in `config/config.tyndp.yaml` to the desired scenario (e.g., `NT-cy2009`) or overriding it via command line:
+
+```console
+$ pixi run tyndp-cba --config run='{"name":"NT-cy2009"}'
+```
+
+## Checkpoint
+
+If you run the CBA workflow for the first time, you might not see a full DAG and instead only see a small number of steps listed in your DAG (including a step called `clean_projects`).
+
+This rule represents a checkpoint in the workflow that first checks how many projects are being asked to run before building out the full DAG.
+Specifically, the checkpoint tells the workflow which CBA projects exist, which project IDs to run, and which method applies (TOOT/PINT).
+
+Thus, if you see only a few steps in your DAG, it is because Snakemake has not yet reached the checkpoint to determine the full list of projects to evaluate.
+This short DAG is therefore not reflective of the actual number of steps that will run once the checkpoint is passed.
+
+After `clean_projects` finishes and the checkpoint passes, Snakemake can read the cleaned CSV and expand the DAG into concrete jobs, at which point you will see the full set of steps.
+
+To run the workflow only up to the checkpoint, one can use the `pixi run tyndp-checkpoint` command, which executes all steps up to and including the checkpoint.
+
+```console
+$ pixi run tyndp-checkpoint
+```
+
+After this, you can run the full workflow with `pixi run tyndp-cba` to execute all remaining steps, including those that follow the checkpoint.
diff --git a/doc/cba.rst b/doc/cba.rst
deleted file mode 100644
index 2eba77f8c2..0000000000
--- a/doc/cba.rst
+++ /dev/null
@@ -1,188 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-###########################
-Cost-Benefit Analysis (CBA)
-###########################
-
-The Cost-Benefit Analysis (CBA) evaluates transmission and storage projects by comparing two dispatch-only simulations: a **reference network** (the baseline grid) and a **project network** (the grid with a specific project added or removed). Unlike the Scenario Building (SB) phase, the CBA does not re-optimize capacities; it reuses the SB's solved network, fixes capacities, and runs dispatch-only optimizations.
-
-.. image:: img/tyndp/SB-CBA-workflow-subsequent-h.png
-    :align: center
-    :alt: Workflow between Scenario Building and CBA
-
-CBA Workflow Methodology
-========================
-
-The workflow evaluates projects using a **rolling horizon** approach where the full year is divided into sequential weekly windows (168 hourly snapshots each, with an overlap of 1 snapshot). 
-
-To resolve **myopia**—where the optimizer cannot see beyond the current week and makes suboptimal decisions for seasonal storage (H2, gas, large hydro)—the workflow uses Marginal Storage Values (MSV) derived from a full-year optimization.
-
-.. image:: img/tyndp/cba-rolling-horizon-pipeline.jpeg
-    :width: 60%
-    :align: center
-    :alt: CBA rolling horizon pipeline diagram
-
-Network Simplification
-----------------------
-The SB network is transformed into a dispatch-ready CBA network:
-
-* **Fixed Capacities:** Capacities are fixed via ``n.optimize.fix_optimal_capacities()``.
-* **Hurdle Costs:** A cost of 0.01 €/MWh is applied to all DC links.
-* **Fuel Capacities:** Primary fuel generator capacities (coal, gas, oil, nuclear) are set to infinity to prevent dispatch from being artificially restricted by fuel-supply limits during peak hours.
-
-Reference Network
------------------
-The simplified network is extended to form the CBA reference baseline by adding all TOOT project capacities. This ensures the reference and MSV extraction operate on the same topology.
-
-MSV Extraction
---------------
-The reference network is solved with **perfect foresight** (entire year, single LP). This exposes the shadow prices (``mu_energy_balance``) of energy balance constraints, representing the **Marginal Storage Value (MSV)**—the opportunity cost of stored energy at that moment.
-
-Rolling Horizon Preparation
----------------------------
-The reference network and MSV results are combined through five transformations:
-* **(a) Initial storage state:** Seasonal components have their initial state set to the perfect foresight solution's last-snapshot value.
-* **(b) Disable cyclicity:** Short-term storage (battery) keeps cyclicity, while seasonal units (H2, gas, hydro) have it disabled, guided instead by MSVs.
-* **(c) Remove global constraints:** Annual CO2 and biomass limits are removed as they cannot be enforced consistently in weekly windows.
-* **(d) Disable annual volume limits:** Annual budgets for biomass/biogas are distributed proportionally to the perfect foresight dispatch.
-* **(e) Apply MSV:** The ``mu_energy_balance`` time series is written into the ``marginal_cost`` of storage components.
-* **(f) Hydro Pinning:** Large hydro reservoirs are pinned to their perfect-foresight state-of-charge values at window boundaries to guide dispatch where duals are near-zero.
-
-Solve
------
-The prepared network is solved for the **Reference** baseline and then for each **Project**. Projects are evaluated using either **TOOT** (Take Out One at a Time) or **PINT** (Put IN at a Time) methods.
-
-CBA Indicators
-==============
-
-Indicators are computed as the difference in system costs and emissions between the reference and project dispatch solutions.
-
-* **B1: Social Economic Welfare (SEW):** Quantifies the change in operational system costs (socio-economic welfare).
-* **B2: Social costs of CO2 emissions:** Calculates the impact using societal cost assumptions (low, central, high).
-* **B3: RES integration costs:** Tracks changes in renewable capacity, generation, and avoided curtailment.
-* **B4: Non-direct greenhouse emissions:** Quantifies pollutants (NOx, SO2, PM, etc.) using fuel consumption multipliers.
-
-Configuration
-=============
-
-CBA settings are defined in the ``cba`` section of the configuration file. You can refer to
-the `configuration <configuration.html>`_ page for a more comprehensive list of available PyPSA-Eur
-and Open-TYNDP configuration options.
-
-Project Selection
------------------
-* ``planning_horizons``: Selects horizons (e.g., 2030, 2040).
-* ``projects``: Defines project identifiers (e.g., ``t1-t35``).
-* ``cba_scenario_input``: If ``use_presolved`` is true, the workflow retrieves pre-solved SB networks from an archive.
-
-Rolling Horizon Settings
-------------------------
-* ``storage.cyclic_carriers``: Carriers that remain cyclic within each weekly window.
-* ``storage.soc_boundary_carriers``: Carriers pinned at window boundaries.
-* ``msv_extraction.resolution``: Controls temporal resolution for the MSV solve (e.g., ``24H``). 
-
-Running Single vs Multiple Climate Years
-========================================
-
-Climate-year collections allow project benefits to be assessed across multiple weather years, consistent with the 2024 TYNDP implementation.
-
-The CBA entry point ``pixi run tyndp-cba`` can run a **single scenario** that is one single climeate year or a **collection scenario** that defines a list of child (climate years) scenarios under ``cba.scenarios``.
-
-Example Collection (``config/scenarios.tyndp.yaml``):
-
-.. code-block:: yaml
-
-    NT-cy1995:
-    #  <<: *cba-common
-    snapshots:
-        start: "1995-01-01"
-        end: "1996-01-01"
-
-    atlite:
-        default_cutout: europe-1995-sarah3-era5
-
-    cba:
-        sb_scenario: NT
-
-
-    NT-cy2008:
-    #  <<: *cba-common
-    snapshots:
-        start: "2008-01-01"
-        end: "2009-01-01"
-
-    atlite:
-        default_cutout: europe-2008-sarah3-era5
-
-    cba:
-        sb_scenario: NT
-
-
-    NT-cy2009:
-    #  <<: *cba-common
-    snapshots:
-        start: "2009-01-01"
-        end: "2010-01-01"
-
-    atlite:
-        default_cutout: europe-2009-sarah3-era5
-
-    cba:
-        sb_scenario: NT
-
-    NT-cyears:
-      cba:
-        scenarios: [NT-cy2009, NT-cy2008, NT-cy1995]
-
-Individual child scenarios (e.g., ``NT-cy2009``) must define their specific ``snapshots``, ``atlite.default_cutout``, and the ``cba.sb_scenario`` used as input.
-
-.. hint::
-
-   If too many parallel jobs cause out-of-memory issues, you can specify your machine's
-   physical RAM limit in ``profiles/default/config.yaml`` for Snakemake to use
-   when scheduling jobs:
-
-   .. code-block:: yaml
-
-       resources:
-         mem_mb: 16000
-
-Running Multiple Years
-----------------------
-To run a collection like ``NT-cyears``, modify ``run.name`` in ``config/config.tyndp.yaml`` or override it via command line:
-
-.. code-block:: console
-
-    $ pixi run tyndp-cba --config run='{"name":"NT-cyears"}'
-
-Running a Single Climate Year
------------------------------
-Similarly, a single climate year can be run by modifying ``run.name``  in ``config/config.tyndp.yaml`` to the desired scenario (e.g., ``NT-cy2009``) or overriding it via command line:
-
-.. code-block:: console
-
-    $ pixi run tyndp-cba --config run='{"name":"NT-cy2009"}'
-
-
-Checkpoint
-==========
-
-If you run the CBA workflow for the first time, you might not see a full DAG and instead only see a small number of steps listed in your DAG (including a step called ``clean_projects``). 
-
-This rule represents a checkpoint in the workflow that first checks how many projects are being asked to run before building out the full DAG. 
-Specifically, the checkpoint tells the workflow which CBA projects exist, which project IDs to run, and which method applies (TOOT/PINT).
-
-Thus, if you see only a few steps in your DAG, it is because Snakemake has not yet reached the checkpoint to determine the full list of projects to evaluate. 
-This short DAG is therefore not reflective of the actual number of steps that will run once the checkpoint is passed.
- 
-After ``clean_projects`` finishes and the checkpoint passes, Snakemake can read the cleaned CSV and expand the DAG into concrete jobs, at which point you will see the full set of steps.
-
-To run the workflow only up to the checkpoint, one can use the ``pixi run tyndp-checkpoint`` command, which executes all steps up to and including the checkpoint. 
-
-.. code-block:: console
-
-    $ pixi run tyndp-checkpoint
-
-After this, you can run the full workflow with ``pixi run tyndp-cba`` to execute all remaining steps, including those that follow the checkpoint.
\ No newline at end of file
diff --git a/doc/conf.py b/doc/conf.py
deleted file mode 100644
index ef4d9d1b0e..0000000000
--- a/doc/conf.py
+++ /dev/null
@@ -1,367 +0,0 @@
-# SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-#
-# SPDX-License-Identifier: MIT
-
-# -*- coding: utf-8 -*-
-#
-# PyPSA documentation build configuration file, created by
-# sphinx-quickstart on Tue Jan  5 10:04:42 2016.
-#
-# This file is execfile()d with the current directory set to its
-# containing dir.
-#
-# Note that not all possible configuration values are present in this
-# autogenerated file.
-#
-# All configuration values have a default; values that are commented out
-# serve to show the default.
-
-import os
-import sys
-
-import requests
-
-
-def get_basemap(app):
-    url = "https://zenodo.org/records/14144752/files/map.html?download=1"
-    response = requests.get(url)
-
-    build_path = os.path.join(app.builder.outdir, "base-network-raw.html")
-    with open(build_path, "w") as f:
-        f.write(response.text)
-
-
-def setup(app):
-    app.connect("builder-inited", get_basemap)
-
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-sys.path.insert(0, os.path.abspath("../scripts"))
-sys.path.insert(0, os.path.abspath(".."))
-
-# -- General configuration ------------------------------------------------
-
-# If your documentation needs a minimal Sphinx version, state it here.
-# needs_sphinx = '1.0'
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = [
-    "sphinx.ext.autodoc",
-    #'sphinx.ext.autosummary',
-    "myst_parser",
-    # "sphinx.ext.autosectionlabel",
-    "sphinx.ext.intersphinx",
-    "sphinx.ext.todo",
-    "sphinx.ext.mathjax",
-    "sphinx.ext.napoleon",
-    "sphinx.ext.graphviz",
-    "sphinxcontrib.bibtex",
-    #'sphinx.ext.pngmath',
-    #'sphinxcontrib.tikz',
-    #'rinoh.frontend.sphinx',
-    "sphinx.ext.imgconverter",  # for SVG conversion
-    "sphinx-jsonschema",
-    "sphinx_design",
-]
-
-autodoc_mock_imports = [
-    "atlite",
-    "snakemake",
-    "rioxarray",
-    "country_converter",
-    "tabula",
-    "memory_profiler",
-    "powerplantmatching",
-    "rasterio",
-    "dask.distributed",
-    "pydantic",
-    "ruamel",
-    "git",
-]
-
-autodoc_default_flags = ["members"]
-autosummary_generate = True
-
-bibtex_bibfiles = ["publications.bib"]
-bibtex_default_style = "unsrt"
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ["_templates"]
-
-# The suffix(es) of source filenames.
-# You can specify multiple suffix as a list of string:
-# source_suffix = ['.rst', '.md']
-source_suffix = ".rst"
-
-# The encoding of source files.
-# source_encoding = 'utf-8-sig'
-
-# The master toctree document.
-master_doc = "index"
-
-# General information about the project.
-project = "Open-TYNDP"
-copyright = "PyPSA-Eur and Open-TYNDP Contributors"
-author = "PyPSA-Eur and Open-TYNDP Contributors"
-
-# The version info for the project you're documenting, acts as replacement for
-# |version| and |release|, also used in various other places throughout the
-# built documents.
-#
-# The short X.Y version.
-version = "v0.7.1"
-# The full version, including alpha/beta/rc tags.
-release = version + ""
-
-# The language for content autogenerated by Sphinx. Refer to documentation
-# for a list of supported languages.
-#
-# This is also used if you do content translation via gettext catalogs.
-# Usually you set "language" from the command line for these cases.
-language = "en"
-
-# There are two options for replacing |today|: either, you set today to some
-# non-false value, then it is used:
-# today = ''
-# Else, today_fmt is used as the format for a strftime call.
-# today_fmt = '%B %d, %Y'
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-exclude_patterns = ["_build"]
-
-# The reST default role (used for this markup: `text`) to use for all
-# documents.
-# default_role = None
-
-# If true, '()' will be appended to :func: etc. cross-reference text.
-# add_function_parentheses = True
-
-# If true, the current module name will be prepended to all description
-# unit titles (such as .. function::).
-# add_module_names = True
-
-# If true, sectionauthor and moduleauthor directives will be shown in the
-# output. They are ignored by default.
-# show_authors = False
-
-# The name of the Pygments (syntax highlighting) style to use.
-pygments_style = "sphinx"
-
-# A list of ignored prefixes for module index sorting.
-# modindex_common_prefix = []
-
-# If true, keep warnings as "system message" paragraphs in the built documents.
-# keep_warnings = False
-
-# If true, `todo` and `todoList` produce output, else they produce nothing.
-todo_include_todos = True
-
-
-# -- Options for HTML output ----------------------------------------------
-
-# The theme to use for HTML and HTML Help pages.  See the documentation for
-# a list of builtin themes.
-html_theme = "sphinx_book_theme"
-
-# Theme options are theme-specific and customize the look and feel of a theme
-# further.  For a list of options available for each theme, see the
-# documentation.
-html_theme_options = {
-    "repository_url": "https://github.com/open-energy-transition/open-tyndp",
-    "use_repository_button": True,
-    "show_navbar_depth": 1,
-}
-
-
-# Add any paths that contain custom themes here, relative to this directory.
-# html_theme_path = []
-
-# The name for this set of Sphinx documents.  If None, it defaults to
-# "<project> v<release> documentation".
-html_title = "Open-TYNDP"
-
-# A shorter title for the navigation bar.  Default is the same as html_title.
-html_short_title = "Open-TYNDP"
-
-# The name of an image file (relative to this directory) to place at the top
-# of the sidebar.
-html_logo = "img/logo.svg"
-
-# The name of an image file (within the static path) to use as favicon of the
-# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
-# pixels large.
-# html_favicon = None
-
-# These folders are copied to the documentation's HTML output
-# html_static_path = ["_static"]
-
-# These paths are either relative to html_static_path
-# or fully qualified paths (eg. https://...)
-# html_css_files = ["theme_overrides.css"]
-
-# Add any extra paths that contain custom files (such as robots.txt or
-# .htaccess) here, relative to this directory. These files are copied
-# directly to the root of the documentation.
-# html_extra_path = []
-
-# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
-# using the given strftime format.
-# html_last_updated_fmt = '%b %d, %Y'
-
-# If true, SmartyPants will be used to convert quotes and dashes to
-# typographically correct entities.
-# html_use_smartypants = True
-
-# Custom sidebar templates, maps document names to template names.
-# html_sidebars = {}
-
-# Additional templates that should be rendered to pages, maps page names to
-# template names.
-# html_additional_pages = {}
-
-# If false, no module index is generated.
-# html_domain_indices = True
-
-# If false, no index is generated.
-# html_use_index = True
-
-# If true, the index is split into individual pages for each letter.
-# html_split_index = False
-
-# If true, links to the reST sources are added to the pages.
-# html_show_sourcelink = True
-
-# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-# html_show_sphinx = True
-
-# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-# html_show_copyright = True
-
-# If true, an OpenSearch description file will be output, and all pages will
-# contain a <link> tag referring to it.  The value of this option must be the
-# base URL from which the finished HTML is served.
-# html_use_opensearch = ''
-
-# This is the file name suffix for HTML files (e.g. ".xhtml").
-# html_file_suffix = None
-
-# Language to be used for generating the HTML full-text search index.
-# Sphinx supports the following languages:
-#   'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
-#   'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr'
-# html_search_language = 'en'
-
-# A dictionary with options for the search language support, empty by default.
-# Now only 'ja' uses this config value
-# html_search_options = {'type': 'default'}
-
-# The name of a javascript file (relative to the configuration directory) that
-# implements a search results scorer. If empty, the default will be used.
-# html_search_scorer = 'scorer.js'
-
-# Output file base name for HTML help builder.
-htmlhelp_basename = "PyPSAEurdoc"
-
-# -- Options for LaTeX output ---------------------------------------------
-
-latex_elements = {
-    # The paper size ('letterpaper' or 'a4paper').
-    #'papersize': 'letterpaper',
-    # The font size ('10pt', '11pt' or '12pt').
-    #'pointsize': '10pt',
-    # Additional stuff for the LaTeX preamble.
-    #'preamble': '',
-    # Latex figure (float) alignment
-    #'figure_align': 'htbp',
-}
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title,
-#  author, documentclass [howto, manual, or own class]).
-latex_documents = [
-    (master_doc, "PyPSA-Eur.tex", "PyPSA-Eur Documentation", "author", "manual"),
-]
-
-
-# Added for rinoh http://www.mos6581.org/rinohtype/quickstart.html
-rinoh_documents = [
-    (
-        master_doc,  # top-level file (index.rst)
-        "PyPSA-Eur",  # output (target.pdf)
-        "PyPSA-Eur Documentation",  # document title
-        "author",
-    )
-]  # document author
-
-
-# The name of an image file (relative to this directory) to place at the top of
-# the title page.
-# latex_logo = None
-
-# For "manual" documents, if this is true, then toplevel headings are parts,
-# not chapters.
-# latex_use_parts = False
-
-# If true, show page references after internal links.
-# latex_show_pagerefs = False
-
-# If true, show URL addresses after external links.
-# latex_show_urls = False
-
-# Documents to append as an appendix to all manuals.
-# latex_appendices = []
-
-# If false, no module index is generated.
-# latex_domain_indices = True
-
-
-# -- Options for manual page output ---------------------------------------
-
-# One entry per manual page. List of tuples
-# (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, "pypsa-eur", "PyPSA-Eur Documentation", [author], 1)]
-
-# If true, show URL addresses after external links.
-# man_show_urls = False
-
-
-# -- Options for Texinfo output -------------------------------------------
-
-# Grouping the document tree into Texinfo files. List of tuples
-# (source start file, target name, title, author,
-#  dir menu entry, description, category)
-texinfo_documents = [
-    (
-        master_doc,
-        "PyPSA-Eur",
-        "PyPSA-Eur Documentation",
-        author,
-        "PyPSA-Eur",
-        "One line description of project.",
-        "Miscellaneous",
-    ),
-]
-
-# Documents to append as an appendix to all manuals.
-# texinfo_appendices = []
-
-# If false, no module index is generated.
-# texinfo_domain_indices = True
-
-# How to display URL addresses: 'footnote', 'no', or 'inline'.
-# texinfo_show_urls = 'footnote'
-
-# If true, do not generate a @detailmenu in the "Top" node's menu.
-# texinfo_no_detailmenu = False
-
-
-# Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {
-    "https://docs.python.org/": ("https://docs.python.org/3", None),
-}
diff --git a/doc/configuration.md b/doc/configuration.md
new file mode 100644
index 0000000000..e14bbf4143
--- /dev/null
+++ b/doc/configuration.md
@@ -0,0 +1,1127 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+
+<a id="config"></a>
+
+# 
+# Configuration
+
+PyPSA-Eur has several configuration options which are documented in this section.
+
+<a id="defaultconfig"></a>
+
+
+## Configuration Files
+
+As for PyPSA-Eur, any Open-TYNDP configuration can be set in a `.yaml` file. The default configurations
+`config/config.default.yaml`, `config/plotting.default.yaml` and `config/benchmarking.default.yaml`
+are maintained in the repository and cover all the options that are used/ can be set.
+
+To pass your own configuration, you can create a new file, e.g. `my_config.yaml`,
+and specify the options you want to change. They will override the default settings and
+options which are not set, will be inherited from the defaults above.
+
+Another way is to use the `config/config.yaml` file, which does not exist in the
+repository and is also not tracked by git. But snakemake will always use this file if
+it exists. This way you can run snakemake with a custom config without having to
+specify the config file each time.
+
+Configuration order of precedence is as follows:
+1. Command line options specified with `--config` (optional)
+2. Custom configuration file specified with `--configfile` (optional)
+3. The `config/config.yaml` file (optional)
+4. The default configuration files `config/config.default.yaml` and `config/plotting.default.yaml`
+
+To use your custom configuration file, you need to pass it to the `snakemake` command
+using the `--configfile` option:
+
+```console
+$ snakemake -call --configfile my_config.yaml
+```
+
+
+!!! warning
+    In a previous version of PyPSA-Eur (`<=2025.04.0`), a full copy of the created config
+    was stored in the `config/config.yaml` file. This is no longer the case. If the
+    file exists, snakemake will use it, but no new copy will be created.
+
+
+## `version` {#version_cf}
+
+Version of PyPSA-Eur. Descriptive only.
+
+- **Type:** string
+- **Default:** `v2026.02.0`
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("version") }}
+```
+
+
+## `tutorial` {#tutorial_cf}
+
+Switch to retrieve the tutorial data set instead of the full data set.
+
+- **Type:** boolean
+- **Default:** `false`
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("tutorial") }}
+```
+
+
+## `logging` {#logging_cf}
+
+Configuration for top level `logging` settings.
+
+{{ schema_table("logging") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("logging") }}
+```
+
+
+## `remote` {#remote_cf}
+
+"Remote" indicates the address of a server used for data exchange, often for clusters and data pushing/pulling.
+
+Configuration for top level `remote` settings.
+
+{{ schema_table("remote") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("remote") }}
+```
+
+
+## `run` {#run_cf}
+
+It is common conduct to analyse energy system optimisation models for **multiple scenarios** for a variety of reasons,
+e.g. assessing their sensitivity towards changing the temporal and/or geographical resolution or investigating how
+investment changes as more ambitious greenhouse-gas emission reduction targets are applied.
+
+The `run` section is used for running and storing scenarios with different configurations which are not covered by [wildcards](#wildcards).
+It determines the path at which resources, networks and results are stored.
+Therefore the user can run different configurations within the same directory.
+
+Configuration for top level `run` settings.
+
+{{ schema_table("run") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("run") }}
+```
+
+
+## `foresight` {#foresight_cf}
+
+[planning_horizons](#planning_horizons) in scenario has to be set.
+
+Configuration for `foresight` settings.
+
+- **Type:** enum (`overnight`, `myopic`, `perfect`)
+- **Default:** `overnight`
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("foresight") }}
+```
+
+!!! note
+    If you use myopic or perfect foresight, the planning horizon in
+    [planning_horizons](#planning_horizons) in scenario has to be set.
+
+
+## `tyndp_scenario` {#tyndp_scenario_cf}
+
+Configuration for `tyndp_scenario` settings.
+
+- **Type:** enum (`NT`, `DE`, `GA`, `false`)
+- **Default:** `false`
+
+Scenario configuration of the TYNDP data, which is one of `NT`, `DE` or `GA`. `false` disables the TYNDP-specific rules.
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("tyndp_scenario") }}
+```
+
+## `scenario` {#scenario}
+
+The `scenario` section is an extraordinary section of the config file
+that is strongly connected to the [wildcards](#wildcards) and is designed to
+facilitate running multiple scenarios through a single command
+
+
+```console
+# for electricity-only studies
+   $ snakemake -call solve_elec_networks
+
+   # for sector-coupling studies
+   $ snakemake -call solve_sector_networks
+
+For each wildcard, a **list of values** is provided. The rule
+```
+
+`solve_all_elec_networks` will trigger the rules for creating
+`results/networks/base_s_{clusters}_elec_{opts}.nc` for **all
+combinations** of the provided wildcard values as defined by Python's
+[itertools.product(...)
+](https://docs.python.org/2/library/itertools.html#itertools.product) function
+that snakemake's [expand(...) function
+](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#targets)
+uses.
+
+An exemplary dependency graph (starting from the simplification rules) then looks like this:
+
+Configuration for top level `scenario` settings.
+
+{{ schema_table("scenario") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("scenario") }}
+```
+
+
+## `countries` {#countries}
+
+Configuration for `countries` settings.
+
+- **Type:** list of string
+- **Default:** `[...]`
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("countries") }}
+```
+
+
+## `snapshots` {#snapshots_cf}
+
+Specifies the temporal range to build an energy system model for as arguments to [pandas.date_range ](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.date_range.html)
+
+Configuration for `snapshots` settings.
+
+{{ schema_table("snapshots") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("snapshots") }}
+```
+
+
+## `enable` {#enable_cf}
+
+Switches for some rules and optional features.
+
+Configuration for `enable` settings.
+
+{{ schema_table("enable") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("enable") }}
+```
+
+
+## `co2_budget` {#CO2_budget_cf}
+
+sector_opts.
+
+Configuration for `co2_budget` settings.
+
+- **Type:** dict (str -> number)
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("co2_budget") }}
+```
+
+!!! note
+    this parameter is over-ridden if `Co2Lx` or `cb` is set in
+    sector_opts.
+
+
+## `electricity` {#electricity_cf}
+
+Configuration for `electricity` settings.
+
+{{ schema_table("electricity") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("electricity") }}
+```
+
+
+## `atlite` {#atlite_cf}
+
+Define and specify the `atlite.Cutout` used for calculating renewable potentials and time-series. All options except for `features` are directly used as [cutout parameters ](https://atlite.readthedocs.io/en/latest/ref_api.html#cutout).
+
+Configuration for `atlite` settings.
+
+{{ schema_table("atlite") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("atlite") }}
+```
+
+
+## `renewable` {#renewable_cf}
+
+### `onwind`
+
+Configuration for onshore wind.
+
+{{ schema_table("renewable.onwind") }}
+
+Configuration for offshore wind.
+
+{{ schema_table("renewable.offwind-ac") }}
+
+Configuration for offshore wind.
+
+{{ schema_table("renewable.offwind-dc") }}
+
+Configuration for offshore wind.
+
+{{ schema_table("renewable.offwind-float") }}
+
+Configuration for solar PV.
+
+{{ schema_table("renewable.solar") }}
+
+Configuration for hydropower.
+
+{{ schema_table("renewable.hydro") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("renewable") }}
+```
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("renewable.offwind-ac") }}
+```
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("renewable.solar") }}
+```
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("renewable.hydro") }}
+```
+
+!!! note
+    Notes on `capacity_per_sqkm`. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 30% fraction of the already restricted
+       area is available for installation of wind generators due to competing land use and likely public
+       acceptance issues.
+
+!!! note
+    The default choice for corine `grid_codes` was based on Scholz, Y. (2012). Renewable energy based electricity supply at low costs
+    development of the REMix model and application for Europe. ( p.42 / p.28)
+
+
+!!! note
+    Notes on `capacity_per_sqkm`. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
+       area is available for installation of wind generators due to competing land use and likely public
+       acceptance issues.
+
+!!! note
+    Notes on `correction_factor`. Correction due to proxy for wake losses
+    from 10.1016/j.energy.2018.08.153
+    until done more rigorously in #153
+
+
+!!! note
+    Notes on `capacity_per_sqkm`. ScholzPhd Tab 4.3.1: 170 MW/km^2 and assuming 1% of the area can be used for solar PV panels.
+       Correction factor determined by comparing uncorrected area-weighted full-load hours to those
+       published in Supplementary Data to Pietzcker, Robert Carl, et al. "Using the sun to decarbonize the power
+       sector -- The economic potential of photovoltaics and concentrating solar
+       power." Applied Energy 135 (2014): 704-720.
+       This correction factor of 0.854337 may be in order if using reanalysis data.
+       for discussion refer to this https://github.com/PyPSA/pypsa-eur/issues/285
+
+
+## `conventional` {#conventional_cf}
+
+Define additional generator attribute for conventional carrier types. If a
+scalar value is given it is applied to all generators. However if a string
+starting with "data/" is given, the value is interpreted as a path to a csv file
+with country specific values. Then, the values are read in and applied to all
+generators of the given carrier in the given country. Note that the value(s)
+overwrite the existing values.
+
+Configuration for `conventional` settings.
+
+{{ schema_table("conventional") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("conventional") }}
+```
+
+
+## `lines` {#lines_cf}
+
+Configuration for `lines` settings.
+
+{{ schema_table("lines") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("lines") }}
+```
+
+
+## `links` {#links_cf}
+
+Configuration for `links` settings.
+
+{{ schema_table("links") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("links") }}
+```
+
+
+## `transmission_projects` {#transmission_projects_cf}
+
+Allows to define additional transmission projects that will be added to the base network, e.g., from the TYNDP 2020 dataset. The projects are read in from the CSV files in the subfolder of `data/transmission_projects/`. New transmission projects can be added in a new subfolder of transmission projects while extending the list of `transmission_projects` in the `config.yaml`. The CSV files in the project folder should have the same columns as the CSV files in the template folder `data/transmission_projects/template`.
+
+Configuration for `transmission_projects` settings.
+
+{{ schema_table("transmission_projects") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("transmission_projects") }}
+```
+
+
+## `tyndp_investment_candidates` {#tyndp_investment_candidates_cf}
+
+Defines which investment candidates to include in the network. Currently supports TYNDP 2024 investment candidates. This configuration applies to the TYNDP base networks and should not be used with `transmission_projects` enabled (see [`transmission_projects`](#transmission_projects_cf)).
+
+{{ schema_table("tyndp_investment_candidates") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("tyndp_investment_candidates") }}
+```
+
+
+## `transformers` {#transformers_cf}
+
+Configuration for `transformers` settings.
+
+{{ schema_table("transformers") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("transformers") }}
+```
+
+
+## `load` {#load_cf}
+
+Configuration for `load` settings.
+
+{{ schema_table("load") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("load") }}
+```
+
+
+## `energy` {#energy_cf}
+
+Only used for sector-coupling studies.
+
+Configuration for `energy` settings.
+
+{{ schema_table("energy") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("energy") }}
+```
+
+!!! note
+    Only used for sector-coupling studies.
+
+
+## `biomass` {#biomass_cf}
+
+- Manure solid, liquid
+- Residues from landscape care
+- Bioethanol barley, wheat, grain maize, oats, other cereals and rye
+- Sugar from sugar beet
+- Miscanthus, switchgrass, RCG
+- Willow
+- Poplar
+- Sunflower, soya seed
+- Rape seed
+- Fuelwood residues
+- FuelwoodRW
+- C&P_RW
+- Secondary Forestry residues - woodchips
+- Sawdust
+- Municipal waste
+- Sludge
+
+Configuration for `biomass` settings.
+
+{{ schema_table("biomass") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("biomass") }}
+```
+
+!!! note
+    Only used for sector-coupling studies.
+
+    The list of available biomass is given by the category in [ENSPRESO_BIOMASS](https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx), namely:
+
+    - Agricultural waste
+
+
+## `solar_thermal` {#solar_thermal_cf}
+
+Only used for sector-coupling studies.
+
+Configuration for `solar_thermal` settings.
+
+{{ schema_table("solar_thermal") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("solar_thermal") }}
+```
+
+!!! note
+    Only used for sector-coupling studies.
+
+
+## `existing_capacities` {#existing_capacities_cf}
+
+Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect foresight scenarios.
+
+Configuration for `existing_capacities` settings.
+
+{{ schema_table("existing_capacities") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("existing_capacities") }}
+```
+
+!!! note
+    Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect foresight scenarios.
+
+
+## `sector` {#sector_cf}
+
+Only used for sector-coupling studies.
+
+??? note "Details"
+
+    Configuration for `sector` settings.
+    
+    | Property | Type | Default | Description |
+    |----------|------|---------|-------------|
+    | `transport` | boolean | `true` | Flag to include transport sector. |
+    | `heating` | boolean | `true` | Flag to include heating sector. |
+    | `biomass` | boolean | `true` | Flag to include biomass sector. |
+    | `industry` | boolean | `true` | Flag to include industry sector. |
+    | `shipping` | boolean | `true` | Flag to include shipping sector. |
+    | `aviation` | boolean | `true` | Flag to include aviation sector. |
+    | `agriculture` | boolean | `true` | Flag to include agriculture sector. |
+    | `fossil_fuels` | boolean | `true` | Flag to include imports of fossil fuels. |
+    | `district_heating` | any |  | Configuration for `sector.district_heating` settings. |
+    |   `potential` | number \| dict (str -> number) | `0.6` | Maximum fraction of urban demand which can be supplied by district heating. If given as dictionary, specify one value per country modeled or provide a default value with key `default` to fill values for all unspecified countries. |
+    |   `progress` | dict (str -> number) |  | Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating. |
+    |   `district_heating_loss` | number | `0.15` | Share increase in district heat demand in urban central due to heat losses. |
+    |   `supply_temperature_approximation` | object |  | Supply temperature approximation settings. |
+    |   `ptes` | object |  | Pit thermal energy storage settings. |
+    |   `ates` | object |  | Aquifer thermal energy storage settings. |
+    |   `heat_source_cooling` | number | `6` | Cooling of heat source for heat pumps. |
+    |   `heat_pump_cop_approximation` | object |  | Heat pump COP approximation settings. |
+    |   `limited_heat_sources` | object |  | Dictionary with names of limited heat sources (not air). Must be `river_water` / `geothermal` or another heat source in [Manz et al. 2024 ](https://www.sciencedirect.com/science/article/pii/S0960148124001769). |
+    |   `direct_utilisation_heat_sources` | list of string |  | List of heat sources for direct heat utilisation in district heating. Must be in the keys of `heat_utilisation_potentials` (e.g. `geothermal`). |
+    |   `temperature_limited_stores` | list of string |  | List of names for stores used as limited heat sources. |
+    |   `dh_areas` | object |  | District heating areas settings. |
+    | `heat_pump_sources` | dict (str -> list of string) |  | Heat pump sources by area. |
+    | `residential_heat` | any |  | Configuration for `sector.residential_heat` settings. |
+    |   `dsm` | any |  | Configuration for `sector.residential_heat.dsm` settings. |
+    |     `enable` | boolean | `false` | Enable residential heat demand-side management that allows heating systems to provide flexibility by shifting demand within configurable time periods. Models building thermal mass as energy storage. |
+    |     `direction` | list of string |  | 'overheat-undercool' means both pre-heating and delayed heating are allowed. 'overheat' allows only pre-heating where buildings are heated up above target temperature and then allowed to cool down, while 'undercool' allows only delayed heating where buildings can cool below target temperature and then be heated up again. |
+    |     `restriction_value` | dict (str -> number) |  | Maximum state of charge (as fraction) for heat flexibility storage representing available thermal buffer capacity in buildings. Set to 0 for no flexibility or to 1.0 to assume that the entire heating demand can contribute to flexibility. |
+    |     `restriction_time` | list of integer |  | Checkpoint hours (0-23) at which heat flexibility storage must return to baseline state of charge, i.e. the residence surplus or missing heat be balanced. Time is the local time for each country and bus. Default: [10, 22] creates 12-hour periods with checkpoints at 10am and 10pm. |
+    | `cluster_heat_buses` | boolean | `true` | Cluster residential and service heat buses in [prepare_sector_network.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py) to one to save memory. |
+    | `heat_demand_cutout` | string | `default` | Heat demand cutout. |
+    | `bev_dsm_restriction_value` | number | `0.8` | Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in [build_transport_demand.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py). Set to 0 for no restriction on BEV DSM. |
+    | `bev_dsm_restriction_time` | number | `7` | Time at which SOC of BEV has to be dsm_restriction_value. |
+    | `transport_heating_deadband_upper` | number | `20.0` | The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases. |
+    | `transport_heating_deadband_lower` | number | `15.0` | The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases. |
+    | `ICE_lower_degree_factor` | number | `0.375` | Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature. |
+    | `ICE_upper_degree_factor` | number | `1.6` | Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature. |
+    | `EV_lower_degree_factor` | number | `0.98` | Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature. |
+    | `EV_upper_degree_factor` | number | `0.63` | Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature. |
+    | `bev_dsm` | boolean | `true` | Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM). |
+    | `bev_dsm_availability` | number | `0.5` | The share for battery electric vehicles (BEV) that are able to do demand side management (DSM). |
+    | `bev_energy` | number | `0.05` | The average size of battery electric vehicles (BEV) in MWh. |
+    | `bev_charge_efficiency` | number | `0.9` | Battery electric vehicles (BEV) charge and discharge efficiency. |
+    | `bev_charge_rate` | number | `0.011` | The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW. |
+    | `bev_avail_max` | number | `0.95` | The maximum share plugged-in availability for passenger electric vehicles. |
+    | `bev_avail_mean` | number | `0.8` | The average share plugged-in availability for passenger electric vehicles. |
+    | `v2g` | boolean | `true` | Allows feed-in to grid from EV battery. This is only enabled if BEV demand-side management is enabled, and the share of vehicles participating is V2G is given by `bev_dsm_availability`. |
+    | `land_transport_fuel_cell_share` | dict (str -> number) |  | The share of vehicles that uses fuel cells in a given year. |
+    | `land_transport_electric_share` | dict (str -> number) |  | The share of vehicles that uses electric vehicles (EV) in a given year. |
+    | `land_transport_ice_share` | dict (str -> number) |  | The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE. |
+    | `transport_electric_efficiency` | number | `53.19` | The conversion efficiencies of electric vehicles in transport. |
+    | `transport_fuel_cell_efficiency` | number | `30.003` | The H2 conversion efficiencies of fuel cells in transport. |
+    | `transport_ice_efficiency` | number | `16.0712` | The oil conversion efficiencies of internal combustion engine (ICE) in transport. |
+    | `agriculture_machinery_electric_share` | number | `0.5` | The share for agricultural machinery that uses electricity. |
+    | `agriculture_machinery_oil_share` | number | `0.5` | The share for agricultural machinery that uses oil. |
+    | `agriculture_machinery_fuel_efficiency` | number | `0.7` | The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs. |
+    | `agriculture_machinery_electric_efficiency` | number | `0.3` | The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs. |
+    | `shipping_hydrogen_liquefaction` | boolean | `false` | Whether to include liquefaction costs for hydrogen demand in shipping. |
+    | `shipping_hydrogen_share` | dict (str -> number) |  | The share of ships powered by hydrogen in a given year. |
+    | `shipping_methanol_share` | dict (str -> number) |  | The share of ships powered by methanol in a given year. |
+    | `shipping_oil_share` | dict (str -> number) |  | The share of ships powered by oil in a given year. |
+    | `shipping_methanol_efficiency` | number | `0.46` | The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the [IEA ](https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf). |
+    | `shipping_oil_efficiency` | number | `0.4` | The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011. |
+    | `aviation_demand_factor` | number | `1.0` | The proportion of demand for aviation compared to today's consumption. |
+    | `HVC_demand_factor` | number | `1.0` | The proportion of demand for high-value chemicals compared to today's consumption. |
+    | `time_dep_hp_cop` | boolean | `true` | Consider the time dependent coefficient of performance (COP) of the heat pump. |
+    | `heat_pump_sink_T_individual_heating` | number | `55.0` | The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings. |
+    | `reduce_space_heat_exogenously` | boolean | `true` | Influence on space heating demand by a certain factor (applied before losses in district heating). |
+    | `reduce_space_heat_exogenously_factor` | dict (str -> number) |  | A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the [Eurocalc Homes and buildings decarbonization scenario ](http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221). |
+    | `retrofitting` | any |  | Configuration for `sector.retrofitting` settings. |
+    |   `retro_endogen` | boolean | `false` | Add retrofitting as an endogenous system which co-optimise space heat savings. |
+    |   `cost_factor` | number | `1.0` | Weight costs for building renovation. |
+    |   `interest_rate` | number | `0.04` | The interest rate for investment in building components. |
+    |   `annualise_cost` | boolean | `true` | Annualise the investment costs of retrofitting. |
+    |   `tax_weighting` | boolean | `false` | Weight the costs of retrofitting depending on taxes in countries. |
+    |   `construction_index` | boolean | `true` | Weight the costs of retrofitting depending on labour/material costs per country. |
+    | `tes` | boolean | `true` | Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES). |
+    | `boilers` | boolean | `true` | Add option for transforming gas into heat using gas boilers. |
+    | `resistive_heaters` | boolean | `true` | Add option for transforming electricity into heat using resistive heaters (independently from gas boilers). |
+    | `oil_boilers` | boolean | `false` | Add option for transforming oil into heat using boilers. |
+    | `biomass_boiler` | boolean | `true` | Add option for transforming biomass into heat using boilers. |
+    | `overdimension_heat_generators` | dict (str -> number) |  | Add option for overdimensioning heating systems by a certain factor. This allows them to cover heat demand peaks e.g. 10% higher than those in the data with a setting of 1.1. |
+    | `chp` | any |  | Configuration for `sector.chp` settings. |
+    |   `enable` | boolean | `true` | Add option for using Combined Heat and Power (CHP). |
+    |   `fuel` | list of string |  | Possible options are all fuels which have an existing bus and their CO2 intensity is given in the technology data. Currently possible are "gas", "oil", "methanol", "lignite", "coal" as well as "solid biomass". For all fuels except solid biomass, the techno-economic data from gas CHP is used. For the special case of solid biomass fuel, both CHP plants with and without carbon capture are added. |
+    |   `micro_chp` | boolean | `false` | Add option for using gas-fired Combined Heat and Power (CHP) for decentral areas. |
+    | `solar_thermal` | boolean | `true` | Add option for using solar thermal to generate heat. |
+    | `solar_cf_correction` | number | `0.788457` | The correction factor for the value provided by the solar thermal profile calculations. |
+    | `methanation` | boolean | `true` | Add option for transforming hydrogen and CO2 into methane using methanation. |
+    | `coal_cc` | boolean | `false` | Add option for coal CHPs with carbon capture. |
+    | `dac` | boolean | `true` | Add option for Direct Air Capture (DAC). |
+    | `co2_vent` | boolean | `false` | Add option for vent out CO2 from storages to the atmosphere. |
+    | `heat_vent` | dict (str -> boolean) |  | Heat venting by area. |
+    | `marginal_cost_heat_vent` | number | `0.02` | The marginal cost of heat-venting in all heating systems. |
+    | `allam_cycle_gas` | boolean | `false` | Add option to include [Allam cycle gas power plants ](https://en.wikipedia.org/wiki/Allam_power_cycle). |
+    | `hydrogen_fuel_cell` | boolean | `true` | Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs. |
+    | `hydrogen_turbine` | boolean | `true` | Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs. |
+    | `SMR` | boolean | `true` | Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR). |
+    | `SMR_cc` | boolean | `true` | Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR) and Carbon Capture (CC). |
+    | `regional_oil_demand` | boolean | `true` | Spatially resolve oil demand. Set to true if regional CO2 constraints needed. |
+    | `regional_coal_demand` | boolean | `false` | Regional coal demand. |
+    | `regional_co2_sequestration_potential` | object |  | Add option for regionally-resolved geological carbon dioxide sequestration potentials based on [CO2StoP ](https://setis.ec.europa.eu/european-co2-storage-database_en). |
+    | `co2_sequestration_potential` | dict (str -> number) |  | The potential of sequestering CO2 in Europe per year and investment period. |
+    | `co2_sequestration_cost` | number | `30` | The cost of sequestering a ton of CO2 (currency/tCO2). |
+    | `co2_sequestration_lifetime` | integer | `50` | The lifetime of a CO2 sequestration site (years). |
+    | `co2_spatial` | boolean | `true` | Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites. |
+    | `co2_network` | boolean | `true` | Add option for planning a new carbon dioxide transmission network. |
+    | `co2_network_cost_factor` | number | `1` | The cost factor for the capital cost of the carbon dioxide transmission network. |
+    | `cc_fraction` | number | `0.9` | The default fraction of CO2 captured with post-combustion capture. |
+    | `hydrogen_underground_storage` | boolean | `true` | Add options for storing hydrogen underground. Storage potential depends regionally. |
+    | `hydrogen_underground_storage_locations` | list of string |  | The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively. |
+    | `methanol` | any |  | Configuration for `sector.methanol` settings. |
+    |   `regional_methanol_demand` | boolean | `false` | Spatially resolve methanol demand. Set to true if regional CO2 constraints needed. |
+    |   `methanol_reforming` | boolean | `false` | Add methanol reforming. |
+    |   `methanol_reforming_cc` | boolean | `false` | Add methanol reforming with carbon capture. |
+    |   `methanol_to_kerosene` | boolean | `false` | Add methanol to kerosene. |
+    |   `methanol_to_power` | dict (str -> boolean) |  | Add different methanol to power technologies. |
+    |   `biomass_to_methanol` | boolean | `true` | Add biomass to methanol. |
+    |   `biomass_to_methanol_cc` | boolean | `false` | Add biomass to methanol with carbon capture. |
+    | `ammonia` | boolean \| string | `true` | Add ammonia as a carrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network). |
+    | `min_part_load_electrolysis` | number | `0` | The minimum unit dispatch (`p_min_pu`) for electrolysis. |
+    | `min_part_load_fischer_tropsch` | number | `0.5` | The minimum unit dispatch (`p_min_pu`) for the Fischer-Tropsch process. |
+    | `min_part_load_methanolisation` | number | `0.3` | The minimum unit dispatch (`p_min_pu`) for the methanolisation process. |
+    | `min_part_load_methanation` | number | `0.3` | Minimum part load methanation. |
+    | `use_fischer_tropsch_waste_heat` | number | `0.25` | Add option for using waste heat of Fischer Tropsch in district heating networks. |
+    | `use_haber_bosch_waste_heat` | number | `0.25` | Use Haber-Bosch waste heat. |
+    | `use_methanolisation_waste_heat` | number | `0.25` | Use methanolisation waste heat. |
+    | `use_methanation_waste_heat` | number | `0.25` | Use methanation waste heat. |
+    | `use_fuel_cell_waste_heat` | number | `1` | Add option for using waste heat of fuel cells in district heating networks. |
+    | `use_electrolysis_waste_heat` | number | `0.25` | Add option for using waste heat of electrolysis in district heating networks. |
+    | `electricity_transmission_grid` | boolean | `true` | Switch for enabling/disabling the electricity transmission grid. |
+    | `electricity_distribution_grid` | boolean | `true` | Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link. |
+    | `electricity_distribution_grid_cost_factor` | number | `1.0` | Multiplies the investment cost of the electricity distribution grid. |
+    | `electricity_grid_connection` | boolean | `true` | Add the cost of electricity grid connection for onshore wind and solar. |
+    | `transmission_efficiency` | any |  | Configuration for `sector.transmission_efficiency` settings. |
+    |   `enable` | list of string |  | Switch to select the carriers for which transmission efficiency is to be added. Carriers not listed assume lossless transmission. |
+    |   `DC` | dict (str -> number) |  | DC transmission efficiency. |
+    |   `H2 pipeline` | dict (str -> number) |  | H2 pipeline transmission efficiency. |
+    |   `gas pipeline` | dict (str -> number) |  | Gas pipeline transmission efficiency. |
+    |   `electricity distribution grid` | dict (str -> number) |  | Electricity distribution grid efficiency. |
+    | `H2_network` | boolean | `true` | Add option for new hydrogen pipelines. |
+    | `gas_network` | boolean | `true` | Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well. |
+    | `H2_retrofit` | boolean | `false` | Add option for retrofiting existing pipelines to transport hydrogen. |
+    | `H2_retrofit_capacity_per_CH4` | number | `0.6` | The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The [European Hydrogen Backbone (April, 2020) p.15 ](https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf) 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity. |
+    | `gas_network_connectivity_upgrade` | number | `1` | The number of desired edge connectivity (k) in the length-weighted [k-edge augmentation algorithm ](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation) used for the gas network. |
+    | `gas_distribution_grid` | boolean | `true` | Add a gas distribution grid. |
+    | `gas_distribution_grid_cost_factor` | number | `1.0` | Multiplier for the investment cost of the gas distribution grid. |
+    | `biomass_spatial` | boolean | `true` | Add option for resolving biomass demand regionally. |
+    | `biomass_transport` | boolean | `false` | Add option for transporting solid biomass between nodes. |
+    | `biogas_upgrading` | boolean | `true` | Biogas upgrading. |
+    | `biogas_upgrading_cc` | boolean | `false` | Add option to capture CO2 from biomass upgrading. |
+    | `conventional_generation` | dict (str -> string) |  | Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel. |
+    | `biomass_to_liquid` | boolean | `true` | Add option for transforming solid biomass into liquid fuel with the same properties as oil. |
+    | `biomass_to_liquid_cc` | boolean | `false` | Add option for transforming solid biomass into liquid fuel with the same properties as oil with carbon capture. |
+    | `electrobiofuels` | boolean | `true` | Electrobiofuels. |
+    | `biosng` | boolean | `false` | Add option for transforming solid biomass into synthesis gas with the same properties as natural gas. |
+    | `biosng_cc` | boolean | `false` | Add option for transforming solid biomass into synthesis gas with the same properties as natural gas with carbon capture. |
+    | `bioH2` | boolean | `false` | Add option for transforming solid biomass into hydrogen with carbon capture. |
+    | `municipal_solid_waste` | boolean | `false` | Add option for municipal solid waste. |
+    | `limit_max_growth` | any |  | Configuration for `sector.limit_max_growth` settings. |
+    |   `enable` | boolean | `false` | Add option to limit the maximum growth of a carrier. |
+    |   `factor` | number | `1.3` | The maximum growth factor of a carrier (e.g. 1.3 allows  30% larger than max historic growth). |
+    |   `max_growth` | dict (str -> number) |  | The historic maximum growth of a carrier. |
+    |   `max_relative_growth` | dict (str -> number) |  | The historic maximum relative growth of a carrier. |
+    | `enhanced_geothermal` | any |  | Configuration for `sector.enhanced_geothermal` settings. |
+    |   `enable` | boolean | `false` | Add option to include Enhanced Geothermal Systems. |
+    |   `flexible` | boolean | `true` | Add option for flexible operation (see Ricks et al. 2024). |
+    |   `max_hours` | integer | `240` | The maximum hours the reservoir can be charged under flexible operation. |
+    |   `max_boost` | number | `0.25` | The maximum boost in power output under flexible operation. |
+    |   `var_cf` | boolean | `true` | Add option for variable capacity factor (see Ricks et al. 2024). |
+    |   `sustainability_factor` | number | `0.0025` | Share of sourced heat that is replenished by the earth's core (see details in [build_egs_potentials.py ](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_egs_potentials.py)). |
+    | `solid_biomass_import` | any |  | Configuration for `sector.solid_biomass_import` settings. |
+    |   `enable` | boolean | `false` | Add option to include solid biomass imports. |
+    |   `price` | number | `54` | Price for importing solid biomass (currency/MWh). |
+    |   `max_amount` | number | `1390` | Maximum solid biomass import potential (TWh). |
+    |   `upstream_emissions_factor` | number | `0.1` | Upstream emissions of solid biomass imports. |
+    | `imports` | any |  | Configuration for `sector.imports` settings. |
+    |   `enable` | boolean | `false` | Add option to include renewable energy imports. |
+    |   `limit` | number |  | Maximum allowed renewable energy imports (TWh). |
+    |   `limit_sense` | string | `<=` | Sense of the limit. |
+    |   `price` | dict (str -> number) |  | Price for importing renewable energy of carrier. |
+    
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("sector") }}
+```
+
+
+!!! note
+    Only used for sector-coupling studies.
+
+
+## `industry` {#industry_cf}
+
+Only used for sector-coupling studies.
+
+Configuration for `industry` settings.
+
+{{ schema_table("industry") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("industry") }}
+```
+
+!!! note
+    Only used for sector-coupling studies.
+
+
+## `costs` {#costs_cf}
+
+Configuration for `costs` settings.
+
+{{ schema_table("costs") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("costs") }}
+```
+
+
+## `clustering` {#clustering_cf}
+
+use `min` in `p_nom_max:` for more conservative assumptions.
+
+Configuration for `clustering` settings.
+
+{{ schema_table("clustering") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("clustering") }}
+```
+
+!!! tip
+    use `min` in `p_nom_max:` for more conservative assumptions.
+
+
+## `adjustments` {#adjustments_cf}
+
+Configuration for top-level adjustments key.
+
+{{ schema_table("adjustments") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("adjustments") }}
+```
+
+
+## `solving` {#solving_cf}
+
+Configuration for `solving` settings.
+
+{{ schema_table("solving") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("solving") }}
+```
+
+
+## `data_config` {#data_config_cf}
+
+Selects a pre-defined data configuration file to load. When set, the workflow looks for
+`config/data.{data_config}.yaml` and loads it as an additional configuration layer on top of
+the defaults, before any user `config/config.yaml` overrides.
+
+This is the recommended way to switch between data source strategies. For example, to use
+Open-TYNDP's own data archive on Google Cloud Storage (see [tyndp_archive](solving.md#tyndp_archive)), run:
+
+```console
+pixi run tyndp-sb --config data_config=tyndp
+```
+
+or set it permanently in `config/config.tyndp.yaml` (applied to all TYNDP runs):
+
+```yaml
+data_config: tyndp
+```
+
+This loads `config/data.tyndp.yaml`, which sets all supported datasets to `tyndp-archive`
+as their source.
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("data_config") }}
+```
+
+
+## `data` {#data_cf}
+
+Controls which versions of input data are used for building the model.
+Versions that are available for each dataset can be found in `data/versions.csv`.
+By default, we retrieve the `latest` supported version for each dataset from an archive source
+(`data.pypsa.org`).
+This means that when upgrading between Open-TYNDP versions, new versions of input data may also be downloaded and used.
+To freeze a model to a specific version of input data, you can set a specific version in the `version` field for each dataset to one specific version as listed in `data/versions.csv`.
+
+Some datasets support `primary` or `build` as a source option, meaning that the data can be retrieved from the original
+data source or build it from the latest available data.
+Datasets that are mirrored to the Open-TYNDP data store on Google Cloud Storage also support `tyndp-archive` as a source
+(see [tyndp_archive](solving.md#tyndp_archive)).
+See the `data/versions.csv` file for all available datasets and their sources/versions that are supported.
+
+??? note "Details"
+
+    Configuration for `data` settings.
+    
+    | Property | Type | Default | Description |
+    |----------|------|---------|-------------|
+    | `hotmaps_industrial_sites` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `enspreso_biomass` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `osm` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `worldbank_urban_population` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `worldbank_commodity_prices` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gem_europe_gas_tracker` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gem_gcct` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `instrat_co2_prices` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `co2stop` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `nitrogen_statistics` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eu_nuts2013` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eu_nuts2021` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eurostat_balances` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eurostat_household_balances` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `wdpa` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `wdpa_marine` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `luisa_land_cover` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `jrc_idees` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `scigrid_gas` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `seawater_temperature` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `swiss_energy_balances` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `synthetic_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `opsd_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `entsoe_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `neso_electricity_demand` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `copernicus_land_cover` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `ship_raster` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `eez` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `nuts3_population` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gdp_per_capita` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `population_count` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `ghg_emissions` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gebco` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `attributed_ports` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `corine` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `emobility` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `h2_salt_caverns` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `lau_regions` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `aquifer_data` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `osm_boundaries` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `gem_gspt` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `tyndp` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `powerplants` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `costs` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `country_runoff` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `country_hdd` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `natura` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bfs_road_vehicle_stock` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bfs_gdp_and_population` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `mobility_profiles` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `cutout` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `dh_areas` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `geothermal_heat_utilisation_potentials` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `jrc_ardeco` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `jrc_energy_atlas` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `desnz_electricity_consumption` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `ons_lad` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bidding_zones_electricitymaps` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    | `bidding_zones_entsoepy` | any |  | Configuration for a single data source. |
+    |   `source` | enum (`archive`, `primary`, `build`) | `archive` | Source of the data. 'archive' retrieves pre-built data, 'primary' retrieves from primary source. |
+    |   `version` | string | `latest` | Version of the data to use. Uses the specific 'version' for the selected 'source' or the dataset tagged 'latest' for this source. |
+    
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("data") }}
+```
+
+
+## `overpass_api` {#overpass_api_cf}
+
+Configuration for `overpass_api` settings.
+
+{{ schema_table("overpass_api") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("overpass_api") }}
+```
+
+
+
+## `plotting` {#plotting_cf}
+
+```yaml
+{{ yaml_section("plotting", source="plotting") }}
+```
+
+
+## `benchmarking` {#benchmarking_cf}
+
+!!! note
+    Schema table not yet available for `benchmarking` (tracked separately from the main configuration schema).
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("benchmarking", source="benchmarking.default.yaml") }}
+```
+
+
+## `cba` {#cba_cf}
+
+Cost-Benefit Analysis (CBA) configuration for evaluating TYNDP transmission and
+storage projects using TOOT (Take One Out at a Time) and PINT (Put In at a Time)
+methodologies.
+
+{{ schema_table("cba") }}
+
+**YAML Syntax**
+
+```yaml
+{{ yaml_section("cba") }}
+```
+
diff --git a/doc/configuration.rst b/doc/configuration.rst
deleted file mode 100644
index c5087ec181..0000000000
--- a/doc/configuration.rst
+++ /dev/null
@@ -1,896 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _config:
-
-##########################################
-Configuration
-##########################################
-
-PyPSA-Eur has several configuration options which are documented in this section.
-
-.. _defaultconfig:
-
-Configuration Files
-===================
-
-As for PyPSA-Eur, any Open-TYNDP configuration can be set in a ``.yaml`` file. The default configurations
-``config/config.default.yaml``, ``config/plotting.default.yaml`` and ``config/benchmarking.default.yaml``
-are maintained in the repository and cover all the options that are used/ can be set.
-
-To pass your own configuration, you can create a new file, e.g. ``my_config.yaml``,
-and specify the options you want to change. They will override the default settings and
-options which are not set, will be inherited from the defaults above.
-
-Another way is to use the ``config/config.yaml`` file, which does not exist in the
-repository and is also not tracked by git. But snakemake will always use this file if
-it exists. This way you can run snakemake with a custom config without having to
-specify the config file each time.
-
-Configuration order of precedence is as follows:
-1. Command line options specified with ``--config`` (optional)
-2. Custom configuration file specified with ``--configfile`` (optional)
-3. The ``config/config.yaml`` file (optional)
-4. The default configuration files ``config/config.default.yaml`` and ``config/plotting.default.yaml``
-
-To use your custom configuration file, you need to pass it to the ``snakemake`` command
-using the ``--configfile`` option:
-
-.. code:: console
-
-    $ snakemake -call --configfile my_config.yaml
-
-.. warning::
-
-    In a previous version of PyPSA-Eur (``<=2025.04.0``), a full copy of the created config
-    was stored in the ``config/config.yaml`` file. This is no longer the case. If the
-    file exists, snakemake will use it, but no new copy will be created.
-
-
-.. _version_cf:
-
-``version``
-===========
-
-.. jsonschema:: ../config/schema.default.json#/properties/version
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: version:
-   :end-before: # docs
-
-.. _tutorial_cf:
-
-``tutorial``
-============
-
-.. jsonschema:: ../config/schema.default.json#/properties/tutorial
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: tutorial:
-   :end-before: # docs
-
-.. _logging_cf:
-
-``logging``
-===========
-
-.. jsonschema:: ../config/schema.default.json#/$defs/LoggingConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: logging:
-   :end-before: # docs
-
-.. _remote_cf:
-
-``remote``
-==========
-
-"Remote" indicates the address of a server used for data exchange, often for clusters and data pushing/pulling.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RemoteConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: remote:
-   :end-before: # docs
-
-.. _run_cf:
-
-``run``
-=============
-
-It is common conduct to analyse energy system optimisation models for **multiple scenarios** for a variety of reasons,
-e.g. assessing their sensitivity towards changing the temporal and/or geographical resolution or investigating how
-investment changes as more ambitious greenhouse-gas emission reduction targets are applied.
-
-The ``run`` section is used for running and storing scenarios with different configurations which are not covered by :ref:`wildcards`.
-It determines the path at which resources, networks and results are stored.
-Therefore the user can run different configurations within the same directory.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RunConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: run:
-   :end-before: # docs
-
-.. _foresight_cf:
-
-``foresight``
-=============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/ForesightConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: foresight:
-   :end-before: # docs
-
-.. note::
-    If you use myopic or perfect foresight, the planning horizon in
-    :ref:`planning_horizons` in scenario has to be set.
-
-.. _tyndp_scenario_cf:
-
-``tyndp_scenario``
-=============
-
-.. jsonschema:: ../config/schema.json#/properties/tyndp_scenario
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: tyndp_scenario:
-   :end-at: tyndp_scenario:
-
-.. _scenario:
-
-``scenario``
-============
-
-The ``scenario`` section is an extraordinary section of the config file
-that is strongly connected to the :ref:`wildcards` and is designed to
-facilitate running multiple scenarios through a single command
-
-.. code:: console
-
-   # for electricity-only studies
-   $ snakemake -call solve_elec_networks
-
-   # for sector-coupling studies
-   $ snakemake -call solve_sector_networks
-
-For each wildcard, a **list of values** is provided. The rule
-``solve_all_elec_networks`` will trigger the rules for creating
-``results/networks/base_s_{clusters}_elec_{opts}.nc`` for **all
-combinations** of the provided wildcard values as defined by Python's
-`itertools.product(...)
-<https://docs.python.org/2/library/itertools.html#itertools.product>`__ function
-that snakemake's `expand(...) function
-<https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#targets>`__
-uses.
-
-An exemplary dependency graph (starting from the simplification rules) then looks like this:
-
-.. image:: img/scenarios.png
-
-.. jsonschema:: ../config/schema.default.json#/$defs/ScenarioConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: scenario:
-   :end-before: # docs
-
-.. _countries:
-
-``countries``
-=============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/CountriesConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: countries:
-   :end-before: # docs
-
-.. _snapshots_cf:
-
-``snapshots``
-=============
-
-Specifies the temporal range to build an energy system model for as arguments to `pandas.date_range <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.date_range.html>`__
-
-.. jsonschema:: ../config/schema.default.json#/$defs/SnapshotsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: snapshots:
-   :end-before: # docs
-
-.. _enable_cf:
-
-``enable``
-==========
-
-Switches for some rules and optional features.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/EnableConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#enable
-   :end-before: # docs
-
-.. _CO2_budget_cf:
-
-``co2_budget``
-==============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/Co2BudgetConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: co2_budget:
-   :end-before: # docs
-
-.. note::
-    this parameter is over-ridden if ``Co2Lx`` or ``cb`` is set in
-    sector_opts.
-
-.. _electricity_cf:
-
-``electricity``
-===============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/ElectricityConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: electricity:
-   :end-before: # docs
-
-.. _atlite_cf:
-
-``atlite``
-==========
-
-Define and specify the ``atlite.Cutout`` used for calculating renewable potentials and time-series. All options except for ``features`` are directly used as `cutout parameters <https://atlite.readthedocs.io/en/latest/ref_api.html#cutout>`__.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/AtliteConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: atlite:
-   :end-before: # docs
-
-.. _renewable_cf:
-
-``renewable``
-=============
-
-``onwind``
-----------
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/onwind
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: renewable:
-   :end-before: "offwind-ac":
-
-.. note::
-   Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 30% fraction of the already restricted
-   area is available for installation of wind generators due to competing land use and likely public
-   acceptance issues.
-
-.. note::
-   The default choice for corine ``grid_codes`` was based on Scholz, Y. (2012). Renewable energy based electricity supply at low costs
-   development of the REMix model and application for Europe. ( p.42 / p.28)
-
-``offwind-x``
---------------
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/offwind-ac
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: "offwind-ac":
-   :end-before: solar:
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/offwind-dc
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/offwind-float
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-.. note::
-   Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
-   area is available for installation of wind generators due to competing land use and likely public
-   acceptance issues.
-
-.. note::
-   Notes on ``correction_factor``. Correction due to proxy for wake losses
-   from 10.1016/j.energy.2018.08.153
-   until done more rigorously in #153
-
-``solar``
----------------
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/solar
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at:   solar:
-   :end-before:   hydro:
-
-.. note::
-   Notes on ``capacity_per_sqkm``. ScholzPhd Tab 4.3.1: 170 MW/km^2 and assuming 1% of the area can be used for solar PV panels.
-   Correction factor determined by comparing uncorrected area-weighted full-load hours to those
-   published in Supplementary Data to Pietzcker, Robert Carl, et al. "Using the sun to decarbonize the power
-   sector -- The economic potential of photovoltaics and concentrating solar
-   power." Applied Energy 135 (2014): 704-720.
-   This correction factor of 0.854337 may be in order if using reanalysis data.
-   for discussion refer to this <issue https://github.com/PyPSA/pypsa-eur/issues/285>
-
-``hydro``
----------------
-
-.. jsonschema:: ../config/schema.default.json#/$defs/RenewableConfig/properties/hydro
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at:   hydro:
-   :end-before: # docs
-
-.. _conventional_cf:
-
-``conventional``
-================
-
-Define additional generator attribute for conventional carrier types. If a
-scalar value is given it is applied to all generators. However if a string
-starting with "data/" is given, the value is interpreted as a path to a csv file
-with country specific values. Then, the values are read in and applied to all
-generators of the given carrier in the given country. Note that the value(s)
-overwrite the existing values.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/ConventionalConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at:   conventional:
-   :end-before: # docs
-
-.. _lines_cf:
-
-``lines``
-=========
-
-.. jsonschema:: ../config/schema.default.json#/$defs/LinesConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: lines:
-   :end-before: # docs
-
-.. _links_cf:
-
-``links``
-=============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/LinksConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: links:
-   :end-before: # docs
-
-.. _transmission_projects_cf:
-
-``transmission_projects``
-=========================
-
-Allows to define additional transmission projects that will be added to the base network, e.g., from the TYNDP 2020 dataset. The projects are read in from the CSV files in the subfolder of ``data/transmission_projects/``. New transmission projects can be added in a new subfolder of transmission projects while extending the list of ``transmission_projects`` in the ``config.yaml``. The CSV files in the project folder should have the same columns as the CSV files in the template folder ``data/transmission_projects/template``.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/TransmissionProjectsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: transmission_projects:
-   :end-before: # docs
-
-.. _tyndp_investment_candidates_cf:
-
-``tyndp_investment_candidates``
-===============================
-
-Defines which investment candidates to include in the network. Currently supports TYNDP 2024 investment candidates. This configuration applies to the TYNDP base networks and should not be used with ``transmission_projects`` enabled (see :ref:`transmission_projects_cf`).
-
-.. jsonschema:: ../config/schema.default.json#/$defs/TyndpInvestmentCandidatesConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: tyndp_investment_candidates:
-   :end-before: # docs
-
-.. _transformers_cf:
-
-``transformers``
-================
-
-.. jsonschema:: ../config/schema.default.json#/$defs/TransformersConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: transformers:
-   :end-before: # docs
-
-.. _load_cf:
-
-``load``
-=============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/LoadConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: load:
-   :end-before: # docs
-
-.. _energy_cf:
-
-``energy``
-=======================
-
-.. note::
-   Only used for sector-coupling studies.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/EnergyConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: energy:
-   :end-before: # docs
-
-.. _biomass_cf:
-
-``biomass``
-=======================
-
-.. note::
-   Only used for sector-coupling studies.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/BiomassConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: biomass:
-   :end-before: # docs
-
-The list of available biomass is given by the category in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`__, namely:
-
-- Agricultural waste
-- Manure solid, liquid
-- Residues from landscape care
-- Bioethanol barley, wheat, grain maize, oats, other cereals and rye
-- Sugar from sugar beet
-- Miscanthus, switchgrass, RCG
-- Willow
-- Poplar
-- Sunflower, soya seed
-- Rape seed
-- Fuelwood residues
-- FuelwoodRW
-- C&P_RW
-- Secondary Forestry residues - woodchips
-- Sawdust
-- Municipal waste
-- Sludge
-
-.. _solar_thermal_cf:
-
-``solar_thermal``
-=======================
-
-.. note::
-   Only used for sector-coupling studies.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/SolarThermalConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: solar_thermal:
-   :end-before: # docs
-
-.. _existing_capacities_cf:
-
-``existing_capacities``
-=======================
-
-.. note::
-   Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect foresight scenarios.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/ExistingCapacitiesConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: existing_capacities:
-   :end-before: # docs
-
-.. _sector_cf:
-
-``sector``
-=======================
-
-.. note::
-   Only used for sector-coupling studies.
-
-.. dropdown:: Details
-
-   .. jsonschema:: ../config/schema.default.json#/$defs/SectorConfig
-      :lift_description:
-      :hide_key: /**/additionalProperties
-
-.. dropdown:: YAML Syntax
-
-   .. literalinclude:: ../config/config.default.yaml
-      :language: yaml
-      :start-at: sector:
-      :end-before: # docs
-
-.. _industry_cf:
-
-``industry``
-=======================
-
-.. note::
-   Only used for sector-coupling studies.
-
-.. jsonschema:: ../config/schema.default.json#/$defs/IndustryConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#industry
-   :end-before: # docs
-
-.. _costs_cf:
-
-``costs``
-=============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/CostsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: costs:
-   :end-before: # docs
-
-
-.. _clustering_cf:
-
-``clustering``
-==============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/ClusteringConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: clustering:
-   :end-before: # docs
-
-.. tip::
-   use ``min`` in ``p_nom_max:`` for more conservative assumptions.
-
-.. _adjustments_cf:
-
-``adjustments``
-===============
-
-.. jsonschema:: ../config/schema.default.json#/$defs/AdjustmentsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-after: # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#adjustments
-   :end-before: # docs
-
-.. _solving_cf:
-
-``solving``
-===========
-
-.. jsonschema:: ../config/schema.default.json#/$defs/SolvingConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: solving:
-   :end-before: # docs
-
-.. _data_config_cf:
-
-``data_config``
-===============
-
-Selects a pre-defined data configuration file to load. When set, the workflow looks for
-``config/data.{data_config}.yaml`` and loads it as an additional configuration layer on top of
-the defaults, before any user ``config/config.yaml`` overrides.
-
-This is the recommended way to switch between data source strategies. For example, to use
-Open-TYNDP's own data archive on Google Cloud Storage (see :ref:`tyndp_archive`), run:
-
-.. code-block:: console
-
-    pixi run tyndp-sb --config data_config=tyndp
-
-or set it permanently in ``config/config.tyndp.yaml`` (applied to all TYNDP runs):
-
-.. code-block:: yaml
-
-    data_config: tyndp
-
-
-This loads ``config/data.tyndp.yaml``, which sets all supported datasets to ``tyndp-archive``
-as their source.
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: data_config:
-   :end-before: # docs
-
-.. _data_cf:
-
-``data``
-========
-
-Controls which versions of input data are used for building the model.
-Versions that are available for each dataset can be found in `data/versions.csv`.
-By default, we retrieve the `latest` supported version for each dataset from an archive source
-(``data.pypsa.org``).
-This means that when upgrading between Open-TYNDP versions, new versions of input data may also be downloaded and used.
-To freeze a model to a specific version of input data, you can set a specific version in the `version` field for each dataset to one specific version as listed in `data/versions.csv`.
-
-Some datasets support `primary` or `build` as a source option, meaning that the data can be retrieved from the original
-data source or build it from the latest available data.
-Datasets that are mirrored to the Open-TYNDP data store on Google Cloud Storage also support ``tyndp-archive`` as a source
-(see :ref:`tyndp_archive`).
-See the `data/versions.csv` file for all available datasets and their sources/versions that are supported.
-
-.. dropdown:: Details
-
-   .. jsonschema:: ../config/schema.default.json#/$defs/DataConfig
-      :lift_description:
-      :hide_key: /**/additionalProperties
-
-.. dropdown:: YAML Syntax
-
-   .. literalinclude:: ../config/config.default.yaml
-      :language: yaml
-      :start-at: data:
-      :end-before: # docs
-
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/data.csv
-
-.. _overpass_api_cf:
-
-``overpass_api``
-================
-
-.. jsonschema:: ../config/schema.default.json#/$defs/OverpassApiConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: overpass_api:
-   :end-before: # docs
-
-.. _secrets_cf:
-
-``secrets``
-===========
-
-.. jsonschema:: ../config/schema.default.json#/$defs/SecretsConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: secrets:
-
-.. _plotting_cf:
-
-``plotting``
-=============
-
-.. literalinclude:: ../config/plotting.default.yaml
-   :language: yaml
-   :start-at: plotting:
-
-.. csv-table::
-   :header-rows: 1
-   :widths: 22,7,22,33
-   :file: configtables/plotting.csv
-
-.. _benchmarking_cf:
-
-``benchmarking``
-================
-
-.. jsonschema:: ../config/schema.json#/$defs/BenchmarkingConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/benchmarking.default.yaml
-   :language: yaml
-   :start-at: benchmarking:
-
-.. _cba_cf:
-
-``cba``
-=======
-
-Cost-Benefit Analysis (CBA) configuration for evaluating TYNDP transmission and
-storage projects using TOOT (Take One Out at a Time) and PINT (Put In at a Time)
-methodologies.
-
-.. jsonschema:: ../config/schema.json#/$defs/CbaConfig
-   :lift_description:
-   :hide_key: /**/additionalProperties
-
-**YAML Syntax**
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: cba:
diff --git a/doc/contributing.md b/doc/contributing.md
new file mode 100644
index 0000000000..ee2e87c34e
--- /dev/null
+++ b/doc/contributing.md
@@ -0,0 +1,54 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Contributing
+
+We welcome anyone interested in contributing to this project, be it with new
+ideas, suggestions, by filing bug reports or contributing code to our [GitHub
+repository](https://github.com/open-energy-transition/open-tyndp) or to the [upstream main repository](https://github.com/pypsa/pypsa-eur).
+
+## Where to start
+
+* If you already have some code changes, you can submit them directly as a [pull request](https://github.com/open-energy-transition/open-tyndp/pulls).
+* To **report bugs or request features**, please [open a new issue](https://github.com/open-energy-transition/open-tyndp/issues/new/choose). We provide issue templates to guide you:
+
+  * Members of the community are welcome to use the simplified bug report and feature request templates designed for external contributors.
+  * You're also welcome to use the more detailed maintainer-oriented templates if you feel comfortable with the additional structure (which includes security review fields).
+  * The Open-TYNDP team will review new issues shortly after they are submitted.
+
+* If you are wondering where we would greatly appreciate your efforts, check out the `help wanted` tag in the [issues list](https://github.com/open-energy-transition/open-tyndp/issues) and initiate a discussion there.
+* If you start working on a feature in the code, let us know by opening an issue or a draft pull request.
+  This helps all of us to keep an overview on what is being done and helps to avoid a situation where we
+  are doing the same work twice in parallel.
+
+## Setting up the development environment
+
+For linting, formatting and checking your code contributions
+against our guidelines (e.g. we use [Black](https://github.com/psf/black) as code style
+use [pre-commit](https://pre-commit.com/index.html):
+
+1. Install [pixi](https://pixi.sh/latest/).
+1. Usage:
+    * To automatically activate `pre-commit` on every `git commit`: Run `pixi run -e dev pre-commit install`
+    * To manually run it: `pixi run -e dev pre-commit run --all`
+
+!!! note
+    Note that installing `pre-commit` locally is not strictly necessary. If you create a Pull Request the `pre-commit CI` will be triggered automatically and take care of the checks.
+
+For all code contributions we follow the four eyes principle (two person principle), i.e. all suggested code
+including our own are reviewed by a second person before they are incorporated into our repository.
+
+If you are unfamiliar with pull requests, the GitHub help pages have a nice [guide](https://help.github.com/en/articles/about-pull-requests).
+
+To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the [Discord server](https://discord.gg/AnuJBk23FU). Open-TYNDP has its own dedicated channel [pypsa-open-tyndp](https://discord.com/channels/911692131440148490/1414977512089321564) for project-specific discussions.
+
+## Contributing to the documentation
+
+We strive to keep documentation useful and up to date for all PyPSA users. If you encounter an area where documentation is not available or insufficient, we very much welcome your contribution. Here is How To:
+
+1. Install [pixi](https://pixi.sh/latest/).
+2. Make your changes in the corresponding `.md` file under `pypsa-eur/doc`.
+3. Compile your changes by running `pixi run build-docs site` from the project root.
+   You can also preview live with `mkdocs serve`. HTML files to review can be found under `site/`.
+4. Contribute your documentation in a pull request ([here is a guide](https://help.github.com/en/articles/about-pull-requests)).
diff --git a/doc/contributing.rst b/doc/contributing.rst
deleted file mode 100644
index 4bee50cf69..0000000000
--- a/doc/contributing.rst
+++ /dev/null
@@ -1,65 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-#######################
-Contributing
-#######################
-
-We welcome anyone interested in contributing to this project, be it with new
-ideas, suggestions, by filing bug reports or contributing code to our `GitHub
-repository <https://github.com/open-energy-transition/open-tyndp>`_ or to the `upstream main repository <https://github.com/pypsa/pypsa-eur>`_.
-
-.. toctree::
-   :maxdepth: 1
-
-   validation_dev
-
-Where to start
-================
-
-* If you already have some code changes, you can submit them directly as a `pull request <https://github.com/open-energy-transition/open-tyndp/pulls>`_.
-* To **report bugs or request features**, please `open a new issue <https://github.com/open-energy-transition/open-tyndp/issues/new/choose>`_. We provide issue templates to guide you:
-  
-  * Members of the community are welcome to use the simplified bug report and feature request templates designed for external contributors.
-  * You're also welcome to use the more detailed maintainer-oriented templates if you feel comfortable with the additional structure (which includes security review fields).
-  * The Open-TYNDP team will review new issues shortly after they are submitted.
-
-* If you are wondering where we would greatly appreciate your efforts, check out the ``help wanted`` tag in the `issues list <https://github.com/open-energy-transition/open-tyndp/issues>`_ and initiate a discussion there.
-* If you start working on a feature in the code, let us know by opening an issue or a draft pull request.
-  This helps all of us to keep an overview on what is being done and helps to avoid a situation where we
-  are doing the same work twice in parallel.
-
-Setting up the development environment
-========================================
-
-For linting, formatting and checking your code contributions
-against our guidelines (e.g. we use `Black <https://github.com/psf/black>`_ as code style
-use `pre-commit <https://pre-commit.com/index.html>`_:
-
-1. Install [pixi](https://pixi.sh/latest/).
-1. Usage:
-    * To automatically activate ``pre-commit`` on every ``git commit``: Run ``pre-commit install``
-    * To manually run it: ``pre-commit run --all``
-
-.. note::
-  Note that installing ``pre-commit`` locally is not strictly necessary. If you create a Pull Request the ``pre-commit CI`` will be triggered automatically and take care of the checks.
-
-For all code contributions we follow the four eyes principle (two person principle), i.e. all suggested code
-including our own are reviewed by a second person before they are incorporated into our repository.
-
-If you are unfamiliar with pull requests, the GitHub help pages have a nice `guide <https://help.github.com/en/articles/about-pull-requests>`_.
-
-To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the `Discord server <https://discord.gg/AnuJBk23FU>`_. Open-TYNDP has its own dedicated channel `pypsa-open-tyndp <https://discord.com/channels/911692131440148490/1414977512089321564>`_ for project-specific discussions.
-
-Contributing to the documentation
-====================================
-
-We strive to keep documentation useful and up to date for all PyPSA users. If you encounter an area where documentation is not available or insufficient, we very much welcome your contribution. Here is How To:
-
-#. Install [pixi](https://pixi.sh/latest/).
-#. Make your changes in the corresponding .rst file under ``pypsa-eur/doc``.
-#. Compile your changes by running the following command in your terminal in the ``doc`` folder: ``pixi run build-docs doc/_build html``
-   You may encounter some warnings, but end up with a message such as ``build succeeded, XX warnings.``. html files to review your changes can then be found under ``doc/_build/html``.
-#. Contribute your documentation in a pull request (`here is a guide <https://help.github.com/en/articles/about-pull-requests>`_).
diff --git a/doc/contributors.md b/doc/contributors.md
new file mode 100644
index 0000000000..8a5f630021
--- /dev/null
+++ b/doc/contributors.md
@@ -0,0 +1,22 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Contributors
+
+The following people have [contributed](https://github.com/open-energy-transition/Open-TYNDP/graphs/contributors) significantly
+towards the development of Open-TYNDP:
+
+* 2024-2026 Thomas Gilon (OET)
+* 2024-2026 Daniel Rüdt (OET)
+* 2024-2026 Jonas Hörsch (OET)
+* 2024-2026 Martha Frysztacki (OET)
+* 2024-2026 Max Parzen (OET)
+* 2025-2026 Lisa Zeyen (OET)
+* 2025-2026 Carlos Gaete (OET)
+* 2025-2026 Will Usher (OET)
+* 2026 Markus Groissböck (OET)
+* 2026 Andreas Hernandez Denyer (OET)
+
+For licensing purposes, this team is referred to as *Contributors to Open-TYNDP* (see [licenses](licenses.md)).
+
+This project builds upon the work of other communities, especially PyPSA-Eur and PyPSA communities. For the list of contributors, see the following links: [PyPSA-Eur](https://github.com/PyPSA/PyPSA-Eur/graphs/contributors) and [PyPSA](https://pypsa.readthedocs.io/en/stable/references/developers.html).
diff --git a/doc/contributors.rst b/doc/contributors.rst
deleted file mode 100644
index ce7847524e..0000000000
--- a/doc/contributors.rst
+++ /dev/null
@@ -1,27 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-####################
-Contributors
-####################
-
-
-The following people have `contributed
-<https://github.com/open-energy-transition/Open-TYNDP/graphs/contributors>`_ significantly
-towards the development of Open-TYNDP:
-
-* 2024-2026 Thomas Gilon (OET)
-* 2024-2026 Daniel Rüdt (OET)
-* 2024-2026 Jonas Hörsch (OET)
-* 2024-2026 Martha Frysztacki (OET)
-* 2024-2026 Max Parzen (OET)
-* 2025-2026 Lisa Zeyen (OET)
-* 2025-2026 Carlos Gaete (OET)
-* 2025-2026 Will Usher (OET)
-* 2026 Markus Groissböck (OET) 
-* 2026 Andreas Hernandez Denyer (OET)
-
-For licensing purposes, this team is referred to as *Contributors to Open-TYNDP* (see :doc:`licenses`).
-
-This project builds upon the work of other communities, especially PyPSA-Eur and PyPSA communities. For the list of contributors, see the following links: `PyPSA-Eur <https://github.com/PyPSA/PyPSA-Eur/graphs/contributors>`__ and `PyPSA <https://pypsa.readthedocs.io/en/stable/references/developers.html>`__.
\ No newline at end of file
diff --git a/doc/costs.md b/doc/costs.md
new file mode 100644
index 0000000000..4c2b12a970
--- /dev/null
+++ b/doc/costs.md
@@ -0,0 +1,43 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Techno-Economic Assumptions
+
+The database of cost assumptions is retrieved from the repository
+[PyPSA/technology-data](https://github.com/pypsa/technology-data) and then
+saved to a file `data/costs/*/costs_{year}.csv`. The `config/config.yaml` provides options
+to choose a reference year. To select a specific version of the cost assumptions, see [Managing Data Versions](data_sources.md#managing_data_versions).
+
+```yaml
+{{ yaml_section("costs.year") }}
+```
+
+The file includes cost assumptions for all included technologies for specific
+years compiled from various sources, namely for
+
+- discount rate,
+- lifetime,
+- investment (CAPEX),
+- fixed operation and maintenance (FOM),
+- variable operation and maintenance (VOM),
+- fuel costs,
+- efficiency, and
+- carbon-dioxide intensity.
+
+Many values are taken from a database published by the Danish Energy Agency ([DEA](https://ens.dk/en/our-services/projections-and-models/technology-data)).
+
+The given overnight capital costs are annualised to net present costs
+with a discount rate of $r$ over the economic lifetime $n$ using the annuity factor
+
+$$
+a = \frac{1-(1+r)^{-n}}{r}.
+$$
+
+Based on the parameters above the `marginal_cost` and `capital_cost` of the
+system components are automatically calculated.
+
+## Modifying Assumptions
+
+Some cost assumptions (e.g. marginal cost and capital cost) can be directly
+set in the `config/config.yaml` (cf. Section [costs](configuration.md#costs_cf) in
+[Configuration](configuration.md#config)).
diff --git a/doc/costs.rst b/doc/costs.rst
deleted file mode 100644
index c32c72178c..0000000000
--- a/doc/costs.rst
+++ /dev/null
@@ -1,51 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-############################
-Techno-Economic Assumptions
-############################
-
-The database of cost assumptions is retrieved from the repository
-`PyPSA/technology-data <https://github.com/pypsa/technology-data>`__ and then
-saved to a file ``data/costs/*/costs_{year}.csv``. The ``config/config.yaml`` provides options
-to choose a reference year. To select a specific version of the cost assumptions, see :ref:`managing_data_versions`.
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :start-at: costs:
-   :end-at:   year:
-
-The file includes cost assumptions for all included technologies for specific
-years compiled from various sources, namely for
-
-- discount rate,
-- lifetime,
-- investment (CAPEX),
-- fixed operation and maintenance (FOM),
-- variable operation and maintenance (VOM),
-- fuel costs,
-- efficiency, and
-- carbon-dioxide intensity.
-
-Many values are taken from a database published by the Danish Energy Agency (`DEA
-<https://ens.dk/en/our-services/projections-and-models/technology-data>`__).
-
-
-The given overnight capital costs are annualised to net present costs
-with a discount rate of :math:`r` over the economic lifetime :math:`n` using the annuity factor
-
-.. math::
-
-    a = \frac{1-(1+r)^{-n}}{r}.
-
-Based on the parameters above the ``marginal_cost`` and ``capital_cost`` of the
-system components are automatically calculated.
-
-
-Modifying Assumptions
-=====================
-
-Some cost assumptions (e.g. marginal cost and capital cost) can be directly
-set in the ``config/config.yaml`` (cf. Section  :ref:`costs_cf`  in
-:ref:`config`).
\ No newline at end of file
diff --git a/doc/data-base-network.rst b/doc/data-base-network.md
similarity index 74%
rename from doc/data-base-network.rst
rename to doc/data-base-network.md
index 2ba6c70907..a3f03f3089 100644
--- a/doc/data-base-network.rst
+++ b/doc/data-base-network.md
@@ -1,36 +1,31 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-#############
-Base network
-#############
+# Base network
 
-.. raw:: html
+<iframe src="../base-network-raw.html" width="100%" height="600px"></iframe>
 
-   <iframe src="base-network-raw.html" width="100%" height="600px"></iframe>
+The map might take a moment to load. To view it in full screen, click <a href="../base-network-raw.html">here</a>.
 
-The map might take a moment to load. To view it in full screen, click `here <base-network-raw.html>`__.
-
-``data/osm/0.6/``
+`data/osm/0.6/`
 
 - **Source:** OpenStreetMap; Xiong, B., Fioriti, D., Neumann, F., Riepin I. & Brown, T. (2024).
   Prebuilt Electricity Network for PyPSA-Eur based on OpenStreetMap Data (0.6)
   [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14144752
 - **Link:** https://zenodo.org/records/14144752
-- **License:** ODbL (`reference <https://zenodo.org/records/14144752>`)
+- **License:** ODbL ([reference](https://zenodo.org/records/14144752))
 - **Description:** Pre-built data of high-voltage transmission grid in Europe from OpenStreetMap.
 
 This dataset contains a topologically connected representation of the European
 high-voltage grid (220 kV to 750 kV) constructed using OpenStreetMap data. Input data
-was retrieved using the `Overpass turbo API <https://overpass-turbo.eu/>`__. A heurisitic
+was retrieved using the [Overpass turbo API](https://overpass-turbo.eu/). A heurisitic
 cleaning process was used to for lines and links where electrical parameters are
 incomplete, missing, or ambiguous. Close substations within a radius of 500 m are
 aggregated to single buses, exact locations of underlying substations is preserved.
 Unique identifiers for lines and links are preserved.
 
 A detailed explanation on the background, methodology, and validation of this dataset
-can be found in `this paper <https://doi.org/10.48550/arXiv.2408.17178>`__ preprint
+can be found in [this paper](https://doi.org/10.48550/arXiv.2408.17178) preprint
 currently under peer-review.
 
 Countries included in the dataset:
diff --git a/doc/data-cutouts.md b/doc/data-cutouts.md
new file mode 100644
index 0000000000..af7225d696
--- /dev/null
+++ b/doc/data-cutouts.md
@@ -0,0 +1,57 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Weather Data {#cutouts}
+
+Cutouts are spatio-temporal subsets of the European weather data from the [ECMWF ERA5](https://software.ecmwf.int/wiki/display/CKB/ERA5+data+documentation) reanalysis dataset and the [CMSAF SARAH-3](https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002) solar surface radiation dataset.
+They have been prepared by and are for use with the [atlite](https://github.com/PyPSA/atlite) tool.
+The [tutorial](tutorial.md) uses a smaller cutout than required for the full model (30 MB), which is also automatically downloaded.
+
+There are two ways to obtain cutouts:
+
+- **Retrieve pre-built cutouts** from the archive using the `retrieve_cutout` rule (default). This downloads ready-made cutouts from `data.pypsa.org`.
+- **Build cutouts from scratch** using the `build_cutout` rule. This requires access to the [CDS API](https://cds.climate.copernicus.eu/api-how-to) to download ERA5 data directly.
+
+!!! info "See also"
+    For building your own cutouts, see [build_cutout][] and the [atlite documentation](https://atlite.readthedocs.io).
+
+The following pre-built cutouts are available for download under
+`https://data.pypsa.org/workflows/cutout/<version>/<cutout>.nc`
+(click on a cutout name below to download directly).
+
+**v1.0**
+
+| Cutout | Size |
+|--------|------|
+| [be-03-2013-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/be-03-2013-era5.nc) | 11.1 MB |
+| [dach-03-2013-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/dach-03-2013-sarah3-era5.nc) | 35.1 MB |
+| [europe-1995-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-1995-sarah3-era5.nc) | 6.2 GB |
+| [europe-1996-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-1996-sarah3-era5.nc) | 6.5 GB |
+| [europe-2008-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2008-sarah3-era5.nc) | 6.2 GB |
+| [europe-2009-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2009-sarah3-era5.nc) | 6.2 GB |
+| [europe-2010-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2010-sarah3-era5.nc) | 6.1 GB |
+| [europe-2012-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2012-sarah3-era5.nc) | 6.6 GB |
+| [europe-2013-03-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-03-sarah3-era5.nc) | 140.5 MB |
+| [europe-2013-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-sarah3-era5.nc) | 6.1 GB |
+| [europe-2019-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2019-sarah3-era5.nc) | 6.1 GB |
+| [europe-2020-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2020-sarah3-era5.nc) | 6.6 GB |
+| [europe-2021-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2021-sarah3-era5.nc) | 6.1 GB |
+| [europe-2023-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2023-sarah3-era5.nc) | 6.1 GB |
+| [europe-2024-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2024-sarah3-era5.nc) | 6.7 GB |
+| [europe-2025-sarah3-era5.nc](https://data.pypsa.org/workflows/cutout/v1.0/europe-2025-sarah3-era5.nc) | 6.7 GB |
+
+**Relevant Settings**
+
+```yaml
+atlite:
+  default_cutout:
+  cutouts:
+```
+
+!!! info "See also"
+    Documentation of the configuration file `config/config.yaml` at
+    [atlite](configuration.md#atlite_cf) and [data](configuration.md#data_cf).
+
+**Outputs**
+
+- `cutouts/{cutout}`: weather data from either the [ERA5](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) reanalysis weather dataset and/or [SARAH-3](https://wui.cmsaf.eu/safira/action/viewProduktSearch) satellite-based historic weather data.
diff --git a/doc/data-cutouts.rst b/doc/data-cutouts.rst
deleted file mode 100644
index a6e2a9eff7..0000000000
--- a/doc/data-cutouts.rst
+++ /dev/null
@@ -1,87 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _cutouts:
-
-############
-Weather Data
-############
-
-Cutouts are spatio-temporal subsets of the European weather data from the `ECMWF ERA5 <https://software.ecmwf.int/wiki/display/CKB/ERA5+data+documentation>`__ reanalysis dataset and the `CMSAF SARAH-3 <https://wui.cmsaf.eu/safira/action/viewDoiDetails?acronym=SARAH_V002>`__ solar surface radiation dataset.
-They have been prepared by and are for use with the `atlite <https://github.com/PyPSA/atlite>`__ tool.
-The :ref:`tutorial` uses a smaller cutout than required for the full model (30 MB), which is also automatically downloaded.
-
-There are two ways to obtain cutouts:
-
-- **Retrieve pre-built cutouts** from the archive using the ``retrieve_cutout`` rule (default). This downloads ready-made cutouts from ``data.pypsa.org``.
-- **Build cutouts from scratch** using the ``build_cutout`` rule. This requires access to the `CDS API <https://cds.climate.copernicus.eu/api-how-to>`__ to download ERA5 data directly.
-
-.. seealso::
-    For building your own cutouts, see :mod:`build_cutout` and the `atlite documentation <https://atlite.readthedocs.io>`__.
-
-The following pre-built cutouts are available for download under
-``https://data.pypsa.org/workflows/cutout/<version>/<cutout>.nc``
-(click on a cutout name below to download directly).
-
-.. _available-cutouts-start:
-
-**v1.0**
-
-.. list-table::
-   :header-rows: 1
-   :widths: 70 30
-
-   * - Cutout
-     - Size
-   * - `be-03-2013-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/be-03-2013-era5.nc>`__
-     - 11.1 MB
-   * - `dach-03-2013-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/dach-03-2013-sarah3-era5.nc>`__
-     - 35.1 MB
-   * - `europe-1995-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-1995-sarah3-era5.nc>`__
-     - 6.2 GB
-   * - `europe-1996-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-1996-sarah3-era5.nc>`__
-     - 6.5 GB
-   * - `europe-2008-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2008-sarah3-era5.nc>`__
-     - 6.2 GB
-   * - `europe-2009-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2009-sarah3-era5.nc>`__
-     - 6.2 GB
-   * - `europe-2010-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2010-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2012-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2012-sarah3-era5.nc>`__
-     - 6.6 GB
-   * - `europe-2013-03-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-03-sarah3-era5.nc>`__
-     - 140.5 MB
-   * - `europe-2013-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2013-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2019-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2019-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2020-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2020-sarah3-era5.nc>`__
-     - 6.6 GB
-   * - `europe-2021-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2021-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2023-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2023-sarah3-era5.nc>`__
-     - 6.1 GB
-   * - `europe-2024-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2024-sarah3-era5.nc>`__
-     - 6.7 GB
-   * - `europe-2025-sarah3-era5.nc <https://data.pypsa.org/workflows/cutout/v1.0/europe-2025-sarah3-era5.nc>`__
-     - 6.7 GB
-.. _available-cutouts-end:
-
-**Relevant Settings**
-
-.. code:: yaml
-
-    atlite:
-      default_cutout:
-      cutouts:
-
-.. seealso::
-    Documentation of the configuration file ``config/config.yaml`` at
-    :ref:`atlite_cf` and :ref:`data_cf`.
-
-**Outputs**
-
-- ``cutouts/{cutout}``: weather data from either the `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`__   reanalysis weather dataset and/or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewProduktSearch>`__ satellite-based historic weather data.
-
-
diff --git a/doc/data-repos.rst b/doc/data-repos.md
similarity index 68%
rename from doc/data-repos.rst
rename to doc/data-repos.md
index c695154414..8f9c876331 100644
--- a/doc/data-repos.rst
+++ b/doc/data-repos.md
@@ -1,42 +1,39 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-###########
-Repository
-###########
+# Repository
 
-Data in this section is included in the PyPSA-Eur repository in the ``data`` folder.
+Data in this section is included in the PyPSA-Eur repository in the `data` folder.
 While most external data is stored outside of the repository, this data is inside the repository either for simplicity or historic reasons.
 New data should generally not be added to the data, but externally retrieved in a versioned manner.
 
-``data/entsoegridkit``
+`data/entsoegridkit`
 
 - **Source:** ENTSO-E
 - **Link:** https://www.entsoe.eu/data/map/, extracted with https://github.com/PyPSA/GridKit/tree/master/entsoe
 - **License:** unknown
 - **Description:** Data of high-voltage transmission grid in Europe from ENTSO-E.
 
-``data/existing_infrastructure``
+`data/existing_infrastructure`
 
 - **Source:** European Commission DG ENER; Mapping and analyses of the current and future (2020 - 2030) heating/cooling fuel deployment
 - **Link:** https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en
-- **License:** CC-BY 4.0 (`reference <https://commission.europa.eu/legal-notice_en>`__)
+- **License:** CC-BY 4.0 ([reference](https://commission.europa.eu/legal-notice_en))
 - **Description:** Contains country-level data on existing heating infrastructure, i.e. gas, oil, coal, biomass boilers, resistive heaters, air- and ground-sourced heat pumps.
 
-``data/retro/comparative_level_investment.csv``
+`data/retro/comparative_level_investment.csv`
 
 - **Source:** Eurostat
 - **Link:** https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment
-- **License:** `custom <https://ec.europa.eu/eurostat/about-us/policies/copyright>`__
+- **License:** [custom](https://ec.europa.eu/eurostat/about-us/policies/copyright)
 - **Description:** Contains data on comparative price levels for investment in Europe.
 
-``data/retro/data_building_stock.csv``
+`data/retro/data_building_stock.csv`
 
 - **Source:** Simon Pezzutto, Stefano Zambotti, Silvia Croce, Pietro Zambelli,
-  Giulia Garegnani, Chiara Scaramuzzino, Ramón Pascual Pascuas, Alyona
-  Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Müller (e-think),
-  Michael Hartner (TUW), Tobias Fleiter, Anna-Lena Klingler, Matthias Kühnbach,
+  Giulia Garegnani, Chiara Scaramuzzino, Ramon Pascual Pascuas, Alyona
+  Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Mueller (e-think),
+  Michael Hartner (TUW), Tobias Fleiter, Anna-Lena Klingler, Matthias Kuehnbach,
   Pia Manz, Simon Marwitz, Matthias Rehfeldt, Jan Steinbach, Eftim Popovski
   (Fraunhofer ISI) Reviewed by Lukas Kranzl, Sara Fritz (TUW) Hotmaps Project,
   D2.3 WP2 Report - Open Data Set for the EU28, 2018 www.hotmaps-project.eu
@@ -44,24 +41,24 @@ New data should generally not be added to the data, but externally retrieved in
 - **License:** CC-BY 4.0
 - **Description:** Contains data on European building stock.
 
-``data/retro/electricity_taxes_eu.csv``
+`data/retro/electricity_taxes_eu.csv`
 
 - **Source:** Eurostat
 - **Link:** https://ec.europa.eu/eurostat/databrowser/view/NRG_PC_204/default/table?lang=en
-- **License:** `custom <https://ec.europa.eu/eurostat/about-us/policies/copyright>`__
+- **License:** [custom](https://ec.europa.eu/eurostat/about-us/policies/copyright)
 - **Description:** Electricity prices for household consumers.
 
-``data/retro/floor_area_missing.csv`` and ``data/retro/u_values_poland.csv``
+`data/retro/floor_area_missing.csv` and `data/retro/u_values_poland.csv`
 
 - **Source:** EU Building Stock Observatory
 - **Link:** https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory
-- **License:** `custom <https://data.europa.eu/data/datasets/building-stock-observatory?locale=en>`__
+- **License:** [custom](https://data.europa.eu/data/datasets/building-stock-observatory?locale=en)
 - **Description:** The EU Building Stock Observatory monitors the energy
   performance of buildings across Europe. It assesses improvements in the energy
   efficiency of buildings and the impact of this on the actual energy
   consumption of the buildings sector overall.
 
-``data/retro/retro_cost_germany.csv``
+`data/retro/retro_cost_germany.csv`
 
 - **Source:** Institut Wohnen und Umwelt (IWU)
 - **Link:** https://www.iwu.de/forschung/handlungslogiken/kosten-energierelevanter-bau-und-anlagenteile-bei-modernisierung/
@@ -69,7 +66,7 @@ New data should generally not be added to the data, but externally retrieved in
 - **Description:** Contains thermal envelop costs for retrofitting buildings in
   Germany.
 
-``data/retro/window_assumptions.csv``
+`data/retro/window_assumptions.csv`
 
 - **Source:** ifeu, Fraunhofer IEE and Consentec (2018): Building sector
   Efficiency: A crucial Component of the Energy Transition. A study commissioned
@@ -78,56 +75,56 @@ New data should generally not be added to the data, but externally retrieved in
 - **License:** unknown
 - **Description:** Contains data on physical parameters of double- and triple-glazed windows.
 
-``data/transmission_projects/nep``
+`data/transmission_projects/nep`
 
 - **Source:** German Federal Network Agency (Bundesnetzagentur, BNetzA)
 - **Link:** https://data.netzausbau.de/2037-2023/NEP/NEP_2037_2045_Bestaetigung.pdf
 - **License:** unknown
 - **Description:** Contains transmission projects in Europe from German network development plan (Netzentwicklungsplan).
 
-``data/transmission_projects/tyndp2020``
+`data/transmission_projects/tyndp2020`
 
 - **Source:** ENTSO-E
 - **Link:** https://tyndp2020-project-platform.azurewebsites.net/projectsheets
 - **License:** unknown
 - **Description:** Contains transmission projects in Europe from ENTSO-E Ten Year Network Development Plan (TYNDP).
 
-``data/ammonia_plants.csv``
+`data/ammonia_plants.csv`
 
 - **Source:** manually collected, mostly from ICIS
 - **Link:** https://www.icis.com/explore/resources/news/2023/01/18/10846094/insight-poor-demand-high-costs-stifle-europe-industry-despite-falling-gas-prices/
 - **License:** CC-BY 4.0 (for compiled dataset)
 - **Description:** Locations and production capacities of ammonia plants in Europe.
 
-``data/cement_plants-noneu.csv``
+`data/cement_plants-noneu.csv`
 
 - **Source:** manually collected, mostly from USGS
 - **Link:** https://www.usgs.gov/centers/national-minerals-information-center/international-minerals-statistics-and-information
-- **License:** CC0 (`reference <https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits>`__)
+- **License:** CC0 ([reference](https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits))
 - **Description:** Contains energy balances for Europe.
 
-``data/ch_cantons.csv``
+`data/ch_cantons.csv`
 
 - **Source:** Wikipedia
 - **Link:** https://en.wikipedia.org/wiki/Data_codes_for_Switzerland
 - **License:** CC-BY-SA 4.0
 - **Description:** Contains NUTS codes for regions in Switzerland.
 
-``data/ch_industrial_production_per_subsector.csv``
+`data/ch_industrial_production_per_subsector.csv`
 
 - **Source:** Swiss Federal Office of Energy (SFOE)
 - **Link:** https://pubdb.bfe.admin.ch/de/publication/download/11817
-- **License:** `custom <https://www.admin.ch/gov/de/start/rechtliches.html>`__
+- **License:** [custom](https://www.admin.ch/gov/de/start/rechtliches.html)
 - **Description:** Contains energy consumption in industry and the service sector in Switzerland.
 
-``data/district_heat_share.csv``
+`data/district_heat_share.csv`
 
 - **Source:** Euroheat & Power
 - **Link:** https://www.euroheat.org/knowledge-hub/country-profiles
 - **License:** unknown
 - **Description:** Contains district heating shares for European countries.
 
-``data/egs_costs.json``
+`data/egs_costs.json`
 
 - **Source:** Arman Aghahosseini, Christian Breyer, From hot rock to useful
   energy: A global estimate of enhanced geothermal systems potential, Applied
@@ -136,69 +133,64 @@ New data should generally not be added to the data, but externally retrieved in
 - **License:** unknown
 - **Description:** Contains rastered potentials and capital costs for enhanced geothermal electricity generation in Europe.
 
-``data/eia_hydro_annual_capacity.csv``
+`data/eia_hydro_annual_capacity.csv`
 
 - **Source:** Energy Information Agency (EIA)
 - **Link:** https://www.eia.gov/international/data/world/electricity/electricity-generation
-- **License:** CC0 (`reference <https://www.eia.gov/about/copyrights_reuse.php>`__)
+- **License:** CC0 ([reference](https://www.eia.gov/about/copyrights_reuse.php))
 - **Description:** Contains country-level hydro-electric capacity for Europe by year.
 
-``data/eia_hydro_annual_generation.csv``
+`data/eia_hydro_annual_generation.csv`
 
 - **Source:** Energy Information Agency (EIA)
 - **Link:** https://www.eia.gov/international/data/world/electricity/electricity-generation
-- **License:** CC0 (`reference <https://www.eia.gov/about/copyrights_reuse.php>`__)
+- **License:** CC0 ([reference](https://www.eia.gov/about/copyrights_reuse.php))
 - **Description:** Contains country-level hydro-electric generato for Europe by year.
 
-``data/heat_load_profile_BDEW.csv``
+`data/heat_load_profile_BDEW.csv`
 
 - **Source:** oemof/demandlib
 - **Link:** https://github.com/oemof/demandlib
 - **License:** unknown
 - **Description:** Contains standard heat load profiles based on data from BDEW (German Association of Energy and Water Industries).
 
-``data/hydro_capacities.csv``
+`data/hydro_capacities.csv`
 
-.. warning::
-   The provenance of the data is unclear. We will improve this in the future.
+!!! warning
+    The provenance of the data is unclear. We will improve this in the future.
 
-``data/links_p_nom.csv``
+`data/links_p_nom.csv`
 
 - **Source:** Wikipedia
 - **Link:** https://en.wikipedia.org/wiki/List_of_HVDC_projects
 - **License:** CC-BY-SA 4.0
 - **Description:** Contains list of HVDC transmission line projects.
 
-``data/nuclear_p_max_pu.csv``
+`data/nuclear_p_max_pu.csv`
 
 - **Source:** International Atomic Energy Agency (IAEA)
 - **Link:** https://pris.iaea.org/PRIS/WorldStatistics/ThreeYrsEnergyAvailabilityFactor.aspx
-- **License:** `custom <https://www.iaea.org/about/terms-of-use>`__
+- **License:** [custom](https://www.iaea.org/about/terms-of-use)
 - **Description:** Country-level nuclear power plant availability factors.
 
-``data/refineries-noneu.csv``
+`data/refineries-noneu.csv`
 
 - **Source:** manually collected, mostly from Energy Information Agency (EIA)
 - **Link:** https://www.eia.gov/petroleum/refinerycapacity/table3.pdf
-- **License:** CC0 (`reference <https://www.eia.gov/about/copyrights_reuse.php>`__)
+- **License:** CC0 ([reference](https://www.eia.gov/about/copyrights_reuse.php))
 - **Description:** Contains locations and capacities of oil refineries in Europe.
 
-``data/unit_commitment.csv``
+`data/unit_commitment.csv`
 
-- **Source:** `DIW
-  <https://www.diw.de/documents/publikationen/73/diw_01.c.424566.de/diw_datadoc_2013-068.pdf>`__,
-  `Agora Energiewende
-  <https://www.agora-energiewende.de/fileadmin/Projekte/2017/Flexibility_in_thermal_plants/115_flexibility-report-WEB.pdf>`__,
-  `Schill et al. (2017)
-  <https://static-content.springer.com/esm/art%3A10.1038%2Fnenergy.2017.50/MediaObjects/41560_2017_BFnenergy201750_MOESM196_ESM.pdf>`__,
-  `Martin (2022) <https://zenodo.org/records/6421682>`__
-- **Link:** https://github.com/lisazeyen/hourly_vs_annually/blob/b67ca9222711372d8ab6cd58f9ebe7bc637939bf/scripts/solve_network.py#L554
+- **Source:** [DIW](https://www.diw.de/documents/publikationen/73/diw_01.c.524200.de/dp1540.pdf),
+  [IRENA](https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Sep/IRENA_Flexibility_in_CPPs_2019.pdf?la=en&hash=AF60106EA083E492638D8FA9ADF7FD099259F5A1),
+  [Agora Energiewende](https://www.agora-energiewende.de/fileadmin/Projekte/2017/Flexibility_in_thermal_plants/115_flexibility-report-WEB.pdf).
 - **License:** CC-BY 4.0
-- **Description:** Contains energy balances for Europe.
+- **Description:** Contains unit commitment parameters for thermal power plants.
 
-``data/biomass_transport_costs_supply_chain{1,2}.csv``
+`data/biomass_transport_costs_supply_chain{1,2}.csv`
 
 - **Source:** European Commission Joint Research Centre (JRC)
 - **Link:** https://publications.jrc.ec.europa.eu/repository/handle/JRC98626
-- **License:** CC-BY 4.0 (`reference <https://commission.europa.eu/legal-notice_en#copyright-notice>`__)
-- **Description:** Contains transport costs for different types of biomass.
\ No newline at end of file
+- **License:** CC-BY 4.0 ([reference](https://commission.europa.eu/legal-notice_en#copyright-notice))
+- **Description:** Contains transport costs for different types of biomass.
diff --git a/doc/data_inventory.csv b/doc/data_inventory.csv
index 241f3ff429..5f8ecf4567 100644
--- a/doc/data_inventory.csv
+++ b/doc/data_inventory.csv
@@ -1,60 +1,63 @@
 "Short name","Long name","Description","Owner","Link to website","License"
-"enspreso_biomass",ENSPRESO biomass potentials for Europe,"This collection contains datasets from ENSPRESO2, an EU-28 wide, open dataset on renewable energy potentials, at national (NUTS0), regional and high-resolution (1 x 1 km and 5 x 5 km) levels for the 2010-2050 period. Within ENSPRESO, ENergy Systems Potential Renewable Energy SOurces, and the ENSPRESO2 updates, technical potentials are provided for wind, solar and biomass, based on coherent GIS-based land-restriction scenarios. [...] For biomass, agriculture, forestry and waste sectors are considered. The temporal resolution for wind and solar is both annual.","European Commission Joint Research Centre","https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f","CC-BY-4.0"
-"osm","Open Street Map electricity transmission grid","Transmission grid topology and infrastructure on substations, lines and cables from Open Street Map (OSM). The dataset is built from OSM data and is not versioned. The latest dataset can be built using the scripts in the repository.","Open Street Map contributors","https://www.openstreetmap.org/ and https://doi.org/10.5281/zenodo.12799201","ODbL-1.0"
-"worldbank_urban_population","Urban population (% of total population)","Percentage of Urban population by country, United Nations Population Division. World Urbanization Prospects: 2018 Revision.","World Bank","https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS","CC-BY-4.0"
-"worldbank_commodity_prices","World Bank Commodity Prices","Monthly commodity price data for a range of commodities including fossil fuels","World Bank","https://thedocs.worldbank.org/en/doc/18675f1d1639c7a34d463f59263ba0a2-0050012025/related/CMO-Historical-Data-Monthly.xlsx","CC-BY-4.0"
-"hotmaps_industrial_sites","Hotmaps industrial sites","In this repository are over 5000 georeferenced industrial sites of energy-intensive industry sectors published, together with GHG-emissions, production capacity, fuel demand and excess heat potentials calculated from emission and production data.","","https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/","CC-BY-4.0"
-"instrat_co2_prices","CO2 Emission Allowance Prices","CO2 emission allowance prices from the EU Emissions Trading System (ETS), retrieved from the Instrat energy price API.","Instrat","https://energy.instrat.pl/","unknown"
-"co2stop","CO2 Storage Potentials","An assessment of the CO2 storage potential in Europe, including storage units, traps, and maps.","European Commission Joint Research Centre","https://setis.ec.europa.eu/european-co2-storage-database_en","Reuse policy following 2011/833/EU"
-"nitrogen_statistics","Nitrogen Statistics and Information","Statistics and information on the worldwide supply of, demand for, and flow of the mineral commodity nitrogen.","United States Geological Survey (USGS)","https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information","Public Domain"
-"eu_nuts2013","Nomenclature of Territorial Units for Statistics (NUTS) 2013 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2013, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
-"eu_nuts2021","Nomenclature of Territorial Units for Statistics (NUTS) 2021 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2021, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","https://ec.europa.eu/eurostat/web/nuts/overview","Reuse policy following 2011/833/EU"
-"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","https://ec.europa.eu/eurostat/data/database","CC-BY-4.0"
-"eurostat_household_balances","Eurostat Household Energy Balances","Disaggregated final energy consumption in household - quantities (nrg_d_hhq)","eurostat","https://ec.europa.eu/eurostat/databrowser/product/page/NRG_D_HHQ","CC-BY-4.0"
-"luisa_land_cover","The LUISA base map 2018","The LUISA Base Map 2018 is a high-resolution land use/land cover map developed and produced by the Joint Research Centre of the European Commission","European Commission Joint Research Centre","https://data.jrc.ec.europa.eu/dataset/51858b51-8f27-4006-bf82-53eba35a142c","CC-BY-4.0"
-"jrc_idees","JRC-IDEES-2023","The JRC-IDEES-2023 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.", "European Commission Joint Research Centre", "https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5", "CC-BY-4.0"
-"scigrid_gas","","Scientific Grid Model of European Gas Transmission Networks,Gas transmission data model","DLR Institute for Networked Energy Systems","https://web.archive.org/web/20241112092853/https://www.gas.scigrid.de/", "CC-BY-4.0"
-"synthetic_electricity_demand","","Interannual Electricity Demand Calculator,generates country-level electricity consumption time series based on weather data and correlates historical electricity demand to temperature","","https://zenodo.org/records/10820928", "CC-BY-4.0"
-"opsd_electricity_demand","Open Power System Data - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","Open Power System Data","https://data.open-power-system-data.org/time_series/","unknown"
-"entsoe_electricity_demand","ENTSO-E Transparency Platform - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","ENTSO-E","https://transparency.entsoe.eu/load/total/dayAhead","unknown"
-"neso_electricity_demand","NESO Electricity Demand Data","Time series data of electricity consumption for Great Britain.","National Energy System Operator (NESO)","https://www.neso.energy/data-portal/historic-demand-data","`NESO Open Data License v1.0 <https://www.neso.energy/data-portal/neso-open-licence>`__"
-"copernicus_land_cover","Copernicus Global Land Service", "Land cover and land use inventory of European continent","Copernicus","https://land.copernicus.eu/en/products/global-dynamic-land-cover", "CC-BY-4.0"
-"ship_raster","Global Shipping Traffic Density","To build ship density raster and use it further to compute availability matrix for renewables","Worldbank","https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density", "CC-BY-4.0"
-"eez","Maritime Boundaries World EEZ","To estimate potentials for offshore wind in country's EEZ","Marine Regions","https://www.marineregions.org/downloads.php", "CC-BY-4.0"
-"nuts3_population","Population by NUTS3 region","Average annual population to calculate regional GDP data (thousand persons) by NUTS 3 region (nama_10r_3popgdp)","Eurostat","https://ec.europa.eu/eurostat/databrowser/bulk?lang=en&searchFilter=nama_10r_3pop", "CC-BY-4.0"
-"gdp_per_capita","Gridded global datasets for Gross Domestic Product over 1990–2015","Gross Domestic Product per capita (PPP)","Kummu, M et al.","https://www.nature.com/articles/sdata20184","CC-BY-4.0"
-"population_count","World - Population Counts","Spatial distribution of population","WorldPop","https://data.humdata.org/dataset/worldpop-population-counts-for-world  https://hub.worldpop.org/doi/10.5258/SOTON/WP00647","CC-BY-4.0"
-"ghg_emissions","Total GHG emissions and removals in the EU","National emissions reported to the UNFCCC and to the EU under the Governance Regulation","European Environment Agency","https://www.eea.europa.eu/en/datahub/datahubitem-view/3b7fe76c-524a-439a-bfd2-a6e4046302a2?activeAccordion=1095700%2C1095998%2C1085929%2C1084352%2C1084914","CC-BY-4.0"
-"gebco","General Bathymetric Chart of the Oceans","Gridded Bathymetric data for ocean and land, providing elevation data in meters, on a 15 arc-second interval grid.","GEBCO Comilation Group","https://www.gebco.net/data-products/gridded-bathymetry-data","Public domain"
-"attributed_ports","Global - International Ports","International ports with attributes describing name, port functions, total capacity and location","World bank Group","https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports", "CC-BY-4.0"
-"corine","CORINE Land Cover 2012","Pan European Land cover for 44 thematic classes with 2012 as reference year","Copernicus","https://land.copernicus.eu/en/products/corine-land-cover/clc-2012","Custom similar to CC-BY"
-"emobility","","Motor and passenger vehicles count","Bundesanstalt für Straßenwesen (BASt)","https://www.bast.de/DE/Home/home_node.html","CC-BY-4.0"
-"h2_salt_caverns","Technical potential of salt caverns for Hydrogen Storage in Europe","Salt cavern potentials in GWh/sqkm", "Dilara et al", "https://www.sciencedirect.com/science/article/abs/pii/S0360319919347299?via%3Dihub","CC-BY-4.0"
-"lau_regions","Local Administrative Units","Used for local administration regions when building geothermal potentials","Eurostat","https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units","Permission to download only if used for non-commercial purposes"
-"aquifer_data","International Hydrogeological Map of Europe","Groundwater data","BGR","https://geoportal.bgr.de/mapapps/resources/apps/geoportal/index.html?lang=en#/datasets/portal/341255A9-180F-4BF9-B96F-D085339EA86D","Right to use without restriction but no right to redistribute"
-"osm_boundaries","OSM Boundaries","OSM-Boundaries was created to enable users to easily extract boundaries such as country borders, state borders, and equivalents from the OpenStreetMap databases","Ground Zero Communications AB","https://osm-boundaries.com/about","ODbL"
-"gem_europe_gas_tracker","Europe Gas Tracker","Methane and hydrogen infrastructure in Europe, including pipelines, LNG terminals, gas power plants and extraction sites.","Global Energy Monitor","https://globalenergymonitor.org/projects/europe-gas-tracker/","CC-BY-4.0"
-"gem_gspt","Global Steel Plant Tracker","Steel plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","https://globalenergymonitor.org/projects/global-steel-plant-tracker/","CC-BY-4.0"
-"gem_gcct","Global Cement and Concrete Tracker","Cement and concrete plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","https://globalenergymonitor.org/projects/global-cement-and-concrete-tracker/","CC-BY-4.0"
-"tyndp","Ten Year Network Development Plan (TYNDP) 2024 data for Open-TYNDP","TYNDP 2024 data package from ENTSO-E/ENTSO-G, including demand profiles, EV modelling inputs, hybrid heat pump modelling inputs, hydro inflows, hydrogen modelling inputs, investment datasets, line data, nodes data, offshore hubs data, PEMMDB data, Supply Tool, TYNDP-2024-Scenarios-Package and Market Model Outputs.","ENTSO-E/ENTSO-G","https://2024.entsos-tyndp-scenarios.eu/download/","CC-BY-4.0"
-"tyndp_pecd","Pan-European Climate Database (PECD) v3.1","Hourly capacity factor time series for Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.","ENTSO-E/ENTSO-G","https://2024.entsos-tyndp-scenarios.eu/download/","CC-BY-4.0"
-"tyndp_vis_plfm","TYNDP 2024 Visualisation Platform","Contains TYNDP 2024 Visualisation Platform data for both electricity (supply mix, flexibility options, and electricity demand) and hydrogen (supply mix and hydrogen demand).","ENTSO-E/ENTSO-G","https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/","CC-BY-4.0"
+"enspreso_biomass",ENSPRESO biomass potentials for Europe,"This collection contains datasets from ENSPRESO2, an EU-28 wide, open dataset on renewable energy potentials, at national (NUTS0), regional and high-resolution (1 x 1 km and 5 x 5 km) levels for the 2010-2050 period. Within ENSPRESO, ENergy Systems Potential Renewable Energy SOurces, and the ENSPRESO2 updates, technical potentials are provided for wind, solar and biomass, based on coherent GIS-based land-restriction scenarios. [...] For biomass, agriculture, forestry and waste sectors are considered. The temporal resolution for wind and solar is both annual.","European Commission Joint Research Centre","[data.jrc.ec.europa.eu](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f)","CC-BY-4.0"
+"osm","Open Street Map electricity transmission grid","Transmission grid topology and infrastructure on substations, lines and cables from Open Street Map (OSM). The dataset is built from OSM data and is not versioned. The latest dataset can be built using the scripts in the repository.","Open Street Map contributors","[openstreetmap.org](https://www.openstreetmap.org/) and [doi.org](https://doi.org/10.5281/zenodo.12799201)","ODbL-1.0"
+"worldbank_urban_population","Urban population (% of total population)","Percentage of Urban population by country, United Nations Population Division. World Urbanization Prospects: 2018 Revision.","World Bank","[data.worldbank.org](https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS)","CC-BY-4.0"
+"worldbank_commodity_prices","World Bank Commodity Prices","Monthly commodity price data for a range of commodities including fossil fuels","World Bank","[thedocs.worldbank.org](https://thedocs.worldbank.org/en/doc/18675f1d1639c7a34d463f59263ba0a2-0050012025/related/CMO-Historical-Data-Monthly.xlsx)","CC-BY-4.0"
+"hotmaps_industrial_sites","Hotmaps industrial sites","In this repository are over 5000 georeferenced industrial sites of energy-intensive industry sectors published, together with GHG-emissions, production capacity, fuel demand and excess heat potentials calculated from emission and production data.","","[gitlab.com](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/)","CC-BY-4.0"
+"instrat_co2_prices","CO2 Emission Allowance Prices","CO2 emission allowance prices from the EU Emissions Trading System (ETS), retrieved from the Instrat energy price API.","Instrat","[energy.instrat.pl](https://energy.instrat.pl/)","unknown"
+"co2stop","CO2 Storage Potentials","An assessment of the CO2 storage potential in Europe, including storage units, traps, and maps.","European Commission Joint Research Centre","[setis.ec.europa.eu](https://setis.ec.europa.eu/european-co2-storage-database_en)","Reuse policy following 2011/833/EU"
+"nitrogen_statistics","Nitrogen Statistics and Information","Statistics and information on the worldwide supply of, demand for, and flow of the mineral commodity nitrogen.","United States Geological Survey (USGS)","[usgs.gov](https://www.usgs.gov/centers/nmic/nitrogen-statistics-and-information)","Public Domain"
+"eu_nuts2013","Nomenclature of Territorial Units for Statistics (NUTS) 2013 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2013, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/web/nuts/overview)","Reuse policy following 2011/833/EU"
+"eu_nuts2021","Nomenclature of Territorial Units for Statistics (NUTS) 2021 - shapefiles","Shapefiles of EU's Nomenclature of Territorial Units for Statistics (NUTS) 2021, which is a hierarchical system for dividing up the economic territory of the European Union.","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/web/nuts/overview)","Reuse policy following 2011/833/EU"
+"eurostat_balances","Energy Balances","European energy balances by country and fuel, as reported by Eurostat.","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/data/database)","CC-BY-4.0"
+"eurostat_household_balances","Eurostat Household Energy Balances","Disaggregated final energy consumption in household - quantities (nrg_d_hhq)","eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/databrowser/product/page/NRG_D_HHQ)","CC-BY-4.0"
+"luisa_land_cover","The LUISA base map 2018","The LUISA Base Map 2018 is a high-resolution land use/land cover map developed and produced by the Joint Research Centre of the European Commission","European Commission Joint Research Centre","[data.jrc.ec.europa.eu](https://data.jrc.ec.europa.eu/dataset/51858b51-8f27-4006-bf82-53eba35a142c)","CC-BY-4.0"
+"jrc_idees","JRC-IDEES-2023","The JRC-IDEES-2023 release contains a consistent set of disaggregated energy-economy-emissions data for each Member State of the European Union, covering all sectors of the energy system for the 2000-2021 period: industry, buildings, transport, and power generation.", "European Commission Joint Research Centre", "[data.jrc.ec.europa.eu](https://data.jrc.ec.europa.eu/dataset/82322924-506a-4c9a-8532-2bdd30d69bf5)", "CC-BY-4.0"
+"scigrid_gas","","Scientific Grid Model of European Gas Transmission Networks,Gas transmission data model","DLR Institute for Networked Energy Systems","[web.archive.org](https://web.archive.org/web/20241112092853/https://www.gas.scigrid.de/)", "CC-BY-4.0"
+"synthetic_electricity_demand","","Interannual Electricity Demand Calculator,generates country-level electricity consumption time series based on weather data and correlates historical electricity demand to temperature","","[zenodo.org](https://zenodo.org/records/10820928)", "CC-BY-4.0"
+"opsd_electricity_demand","Open Power System Data - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","Open Power System Data","[data.open-power-system-data.org](https://data.open-power-system-data.org/time_series/)","unknown"
+"entsoe_electricity_demand","ENTSO-E Transparency Platform - Electricity Demand","Time series data of electricity consumption at country-level for various European countries.","ENTSO-E","[transparency.entsoe.eu](https://transparency.entsoe.eu/load/total/dayAhead)","unknown"
+"neso_electricity_demand","NESO Electricity Demand Data","Time series data of electricity consumption for Great Britain.","National Energy System Operator (NESO)","[neso.energy](https://www.neso.energy/data-portal/historic-demand-data)","[NESO Open Data License v1.0](https://www.neso.energy/data-portal/neso-open-licence)"
+"copernicus_land_cover","Copernicus Global Land Service", "Land cover and land use inventory of European continent","Copernicus","[land.copernicus.eu](https://land.copernicus.eu/en/products/global-dynamic-land-cover)", "CC-BY-4.0"
+"ship_raster","Global Shipping Traffic Density","To build ship density raster and use it further to compute availability matrix for renewables","Worldbank","[datacatalog.worldbank.org](https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density)", "CC-BY-4.0"
+"eez","Maritime Boundaries World EEZ","To estimate potentials for offshore wind in country's EEZ","Marine Regions","[marineregions.org](https://www.marineregions.org/downloads.php)", "CC-BY-4.0"
+"nuts3_population","Population by NUTS3 region","Average annual population to calculate regional GDP data (thousand persons) by NUTS 3 region (nama_10r_3popgdp)","Eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/databrowser/bulk?lang=en&searchFilter=nama_10r_3pop)", "CC-BY-4.0"
+"gdp_per_capita","Gridded global datasets for Gross Domestic Product over 1990–2015","Gross Domestic Product per capita (PPP)","Kummu, M et al.","[nature.com](https://www.nature.com/articles/sdata20184)","CC-BY-4.0"
+"population_count","World - Population Counts","Spatial distribution of population","WorldPop","[data.humdata.org](https://data.humdata.org/dataset/worldpop-population-counts-for-world)  [hub.worldpop.org](https://hub.worldpop.org/doi/10.5258/SOTON/WP00647)","CC-BY-4.0"
+"ghg_emissions","Total GHG emissions and removals in the EU","National emissions reported to the UNFCCC and to the EU under the Governance Regulation","European Environment Agency","[eea.europa.eu](https://www.eea.europa.eu/en/datahub/datahubitem-view/3b7fe76c-524a-439a-bfd2-a6e4046302a2?activeAccordion=1095700%2C1095998%2C1085929%2C1084352%2C1084914)","CC-BY-4.0"
+"gebco","General Bathymetric Chart of the Oceans","Gridded Bathymetric data for ocean and land, providing elevation data in meters, on a 15 arc-second interval grid.","GEBCO Comilation Group","[gebco.net](https://www.gebco.net/data-products/gridded-bathymetry-data)","Public domain"
+"attributed_ports","Global - International Ports","International ports with attributes describing name, port functions, total capacity and location","World bank Group","[datacatalog.worldbank.org](https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports)", "CC-BY-4.0"
+"corine","CORINE Land Cover 2012","Pan European Land cover for 44 thematic classes with 2012 as reference year","Copernicus","[land.copernicus.eu](https://land.copernicus.eu/en/products/corine-land-cover/clc-2012)","Custom similar to CC-BY"
+"emobility","","Motor and passenger vehicles count","Bundesanstalt für Straßenwesen (BASt)","[bast.de](https://www.bast.de/DE/Home/home_node.html)","CC-BY-4.0"
+"h2_salt_caverns","Technical potential of salt caverns for Hydrogen Storage in Europe","Salt cavern potentials in GWh/sqkm", "Dilara et al", "[sciencedirect.com](https://www.sciencedirect.com/science/article/abs/pii/S0360319919347299?via%3Dihub)","CC-BY-4.0"
+"lau_regions","Local Administrative Units","Used for local administration regions when building geothermal potentials","Eurostat","[ec.europa.eu](https://ec.europa.eu/eurostat/web/gisco/geodata/administrative-units)","Permission to download only if used for non-commercial purposes"
+"aquifer_data","International Hydrogeological Map of Europe","Groundwater data","BGR","[geoportal.bgr.de](https://geoportal.bgr.de/mapapps/resources/apps/geoportal/index.html?lang=en#/datasets/portal/341255A9-180F-4BF9-B96F-D085339EA86D)","Right to use without restriction but no right to redistribute"
+"osm_boundaries","OSM Boundaries","OSM-Boundaries was created to enable users to easily extract boundaries such as country borders, state borders, and equivalents from the OpenStreetMap databases","Ground Zero Communications AB","[osm-boundaries.com](https://osm-boundaries.com/about)","ODbL"
+"gem_europe_gas_tracker","Europe Gas Tracker","Methane and hydrogen infrastructure in Europe, including pipelines, LNG terminals, gas power plants and extraction sites.","Global Energy Monitor","[globalenergymonitor.org](https://globalenergymonitor.org/projects/europe-gas-tracker/)","CC-BY-4.0"
+"gem_gspt","Global Steel Plant Tracker","Steel plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","[globalenergymonitor.org](https://globalenergymonitor.org/projects/global-steel-plant-tracker/)","CC-BY-4.0"
+"gem_gcct","Global Cement and Concrete Tracker","Cement and concrete plant global locations and characteristics, including production capacity, ownership, and emissions data.","Global Energy Monitor","[globalenergymonitor.org](https://globalenergymonitor.org/projects/global-cement-and-concrete-tracker/)","CC-BY-4.0"
+"tyndp","Ten Year Network Development Plan (TYNDP) 2024 data for Open-TYNDP","TYNDP 2024 data package from ENTSO-E/ENTSO-G, including demand profiles, EV modelling inputs, hybrid heat pump modelling inputs, hydro inflows, hydrogen modelling inputs, investment datasets, line data, nodes data, offshore hubs data, PEMMDB data, Supply Tool, TYNDP-2024-Scenarios-Package and Market Model Outputs.","ENTSO-E/ENTSO-G","[2024.entsos-tyndp-scenarios.eu](https://2024.entsos-tyndp-scenarios.eu/download/)","CC-BY-4.0"
+"tyndp_pecd","Pan-European Climate Database (PECD) v3.1","Hourly capacity factor time series for Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.","ENTSO-E/ENTSO-G","[2024.entsos-tyndp-scenarios.eu](https://2024.entsos-tyndp-scenarios.eu/download/)","CC-BY-4.0"
+"tyndp_vis_plfm","TYNDP 2024 Visualisation Platform","Contains TYNDP 2024 Visualisation Platform data for both electricity (supply mix, flexibility options, and electricity demand) and hydrogen (supply mix and hydrogen demand).","ENTSO-E/ENTSO-G","[2024.entsos-tyndp-scenarios.eu](https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/)","CC-BY-4.0"
 "tyndp_cba_non_co2_emissions","TYNDP Non-CO2 emission factors","Non-CO2 emissions factor from Annex A.3, p108 of the TYNDP 2024 Methodology: CBA Implementation Guidelines",,,
-"tyndp_cba_projects","Projects from the Cost-Benefit Analysis (CBA) of the TYNDP 2024","Contains 177 transmission and 33 storage projects assessed by TYNDP 2024 in its Cost-Benefit Analysis.","ENTSO-E/ENTSO-G","https://tyndp2024.entsoe.eu/projects-map","CC-BY-4.0"
-"open_tyndp_prelim","Open-TYNDP preliminary outcomes, including solved SB networks","Zenodo record that includes scenario-building (SB) network results used as inputs to the CBA workflow.","Open Energy Transition","https://zenodo.org/records/18608106","CC-BY-4.0"
-"tyndp_nuclear_profiles","TYNDP Nuclear profiles","Availability profiles for nuclear power plants, derived from normalized generation time series in TYNDP 2024 Market Model Outputs. Resampled weekly, retaining maximum availability factor per week.","Open Energy Transition","https://storage.googleapis.com/open-tyndp-data-store/nuclear_p_max_pu.zip","CC-BY-4.0"
-"cba_guidelines_reference_projects","2024 CBA reference grid projects","Table B1 from 2024 CBA Implementation Guidelines: Overview of the projects included in the reference grids for 2030 and 2040 time horizons","ENTSO-E/ENTSO-G","https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1","CC-BY-4.0"
-"powerplants","Power plants matching dataset","Global dataset of power plants with their location, capacity and technology type.","The powerplantmatching contributors","https://powerplantmatching.readthedocs.io","CC-BY-4.0"
-"costs","Technology cost assumptions","Technology cost and performance assumptions for Europe for various technologies, including renewables, fossil fuels.","The technologydata contributors","https://technology-data.readthedocs.io","CC-BY-4.0"
+"tyndp_cba_projects","Projects from the Cost-Benefit Analysis (CBA) of the TYNDP 2024","Contains 177 transmission and 33 storage projects assessed by TYNDP 2024 in its Cost-Benefit Analysis.","ENTSO-E/ENTSO-G","[tyndp2024.entsoe.eu](https://tyndp2024.entsoe.eu/projects-map)","CC-BY-4.0"
+"open_tyndp_prelim","Open-TYNDP preliminary outcomes, including solved SB networks","Zenodo record that includes scenario-building (SB) network results used as inputs to the CBA workflow.","Open Energy Transition","[zenodo.org](https://zenodo.org/records/18608106)","CC-BY-4.0"
+"tyndp_nuclear_profiles","TYNDP Nuclear profiles","Availability profiles for nuclear power plants, derived from normalized generation time series in TYNDP 2024 Market Model Outputs. Resampled weekly, retaining maximum availability factor per week.","Open Energy Transition","[storage.googleapis.com](https://storage.googleapis.com/open-tyndp-data-store/nuclear_p_max_pu.zip)","CC-BY-4.0"
+"cba_guidelines_reference_projects","2024 CBA reference grid projects","Table B1 from 2024 CBA Implementation Guidelines: Overview of the projects included in the reference grids for 2030 and 2040 time horizons","ENTSO-E/ENTSO-G","[tyndp.entsoe.eu](https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1)","CC-BY-4.0"
+"powerplants","Power plants matching dataset","Global dataset of power plants with their location, capacity and technology type.","The powerplantmatching contributors","[powerplantmatching.readthedocs.io](https://powerplantmatching.readthedocs.io)","CC-BY-4.0"
+"costs","Technology cost assumptions","Technology cost and performance assumptions for Europe for various technologies, including renewables, fossil fuels.","The technologydata contributors","[technology-data.readthedocs.io](https://technology-data.readthedocs.io)","CC-BY-4.0"
 "country_runoff","Country level runoff data","Country-level runoff data, daily sums, for Europe, used for rescaling hydro-electricity availability in weather years not covered by EIA hydro-generation statistics.","Fabian Neumann","see `rule retrieve_country_runoff` in the PyPSA-Eur repository","CC-BY-4.0"
 "country_hdd","Country level runoff data","Country-level heating degree days for Europe, used for rescaling heat demand in weather years not covered by energy statistics.","Fabian Neumann","see `rule retrieve_country_runoff` in the PyPSA-Eur repository","CC-BY-4.0"
-"natura","Natura 2000 protected areas","Protected areas in Europe as defined by the Natura 2000 network.","European Environment Agency","https://www.eea.europa.eu/en/datahub/datahubitem-view/6fc8ad2d-195d-40f4-bdec-576e7d1268e4","CC-BY-4.0"
-"bfs_road_vehicle_stock","Swiss Road Vehicle Stock","Stock of road motor vehicles in Switzerland.","Swiss Federal Statistics Office","https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html","custom (OPEN BY ASK)"
-"bfs_gdp_and_population","Swiss Population","Population data for Switzerland.","Swiss Federal Statistics Office","https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html","custom (OPEN BY ASK)"
-"swiss_energy_balances","Swiss Energy Balances","Energy balances for Switzerland.","Swiss Federal Office of Energy (SFOE)","https://pubdb.bfe.admin.ch/de/publication/download/12361","custom (https://www.admin.ch/gov/de/start/rechtliches.html)"
-"mobility_profiles","German Vehicle Activity Profiles","Vehicle activity profiles for different vehicle types and road types in Germany, based on monitoring data from the Federal Highway Research Institute (BASt). These profiles provide insights into travel behavior and patterns, which can be used for transport modeling and analysis.","Federal Highway Research Institute (BASt)","https://www.bast.de/DE/Themen/Digitales/HF_1/Massnahmen/verkehrszaehlung/Stundenwerte.html?nn=414410","CC-BY-4.0"
-"dh_areas","","Shapes of district heating areas","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
-"geothermal_heat_utilisation_potentials","","Potentials for Geothermal heat utilisation","ISI Fraunhofer-Institut für System- und Innovationsforschung","https://fordatis.fraunhofer.de/handle/fordatis/341.5","CC-BY-4.0"
-"jrc_ardeco","Annual Regional Database of the European Commission's Directorate General for Regional and Urban Policy","The database contains a set of long time-series variables and indicators for EU regions, as well as for regions in some EFTA and candidate countries, at various statistical scales (NUTS1, NUTS2, NUTS3, metro regions).","European Commission","https://territorial.ec.europa.eu/ardeco","similar to CC-BY"
-"bidding_zones_electricitymaps","Electricity Maps Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","Electricity Maps","https://github.com/electricitymaps/electricitymaps-contrib","AGPL-3.0"
-"bidding_zones_entsoepy","ENTSOE-PY Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","EnergieID","https://github.com/EnergieID/entsoe-py","MIT"
+"natura","Natura 2000 protected areas","Protected areas in Europe as defined by the Natura 2000 network.","European Environment Agency","[eea.europa.eu](https://www.eea.europa.eu/en/datahub/datahubitem-view/6fc8ad2d-195d-40f4-bdec-576e7d1268e4)","CC-BY-4.0"
+"bfs_road_vehicle_stock","Swiss Road Vehicle Stock","Stock of road motor vehicles in Switzerland.","Swiss Federal Statistics Office","[bfs.admin.ch](https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken.assetdetail.33827666.html)","custom (OPEN BY ASK)"
+"bfs_gdp_and_population","Swiss Population","Population data for Switzerland.","Swiss Federal Statistics Office","[bfs.admin.ch](https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html)","custom (OPEN BY ASK)"
+"swiss_energy_balances","Swiss Energy Balances","Energy balances for Switzerland.","Swiss Federal Office of Energy (SFOE)","[pubdb.bfe.admin.ch](https://pubdb.bfe.admin.ch/de/publication/download/12361)","custom ([admin.ch](https://www.admin.ch/gov/de/start/rechtliches.html))"
+"mobility_profiles","German Vehicle Activity Profiles","Vehicle activity profiles for different vehicle types and road types in Germany, based on monitoring data from the Federal Highway Research Institute (BASt). These profiles provide insights into travel behavior and patterns, which can be used for transport modeling and analysis.","Federal Highway Research Institute (BASt)","[bast.de](https://www.bast.de/DE/Themen/Digitales/HF_1/Massnahmen/verkehrszaehlung/Stundenwerte.html?nn=414410)","CC-BY-4.0"
+"dh_areas","","Shapes of district heating areas","ISI Fraunhofer-Institut für System- und Innovationsforschung","[fordatis.fraunhofer.de](https://fordatis.fraunhofer.de/handle/fordatis/341.5)","CC-BY-4.0"
+"geothermal_heat_utilisation_potentials","","Potentials for Geothermal heat utilisation","ISI Fraunhofer-Institut für System- und Innovationsforschung","[fordatis.fraunhofer.de](https://fordatis.fraunhofer.de/handle/fordatis/341.5)","CC-BY-4.0"
+"jrc_ardeco","Annual Regional Database of the European Commission's Directorate General for Regional and Urban Policy","The database contains a set of long time-series variables and indicators for EU regions, as well as for regions in some EFTA and candidate countries, at various statistical scales (NUTS1, NUTS2, NUTS3, metro regions).","European Commission","[territorial.ec.europa.eu](https://territorial.ec.europa.eu/ardeco)","similar to CC-BY"
+"jrc_energy_atlas","JRC Energy Atlas","Contains 1km by 1km raster data of annual electricity demand per EU country","European Commission Joint Research Centre","[energy-industry-geolab.jrc.ec.europa.eu](https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/)","[CC-BY-4.0](https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/EIGL-Data/RASTER/copyright.txt)"
+"desnz_electricity_consumption","Regional and local authority electricity consumption statistics","Contains subnational electricity consumption statistics from 2005 to 2023.","UK Government, Department for Energy Security and Net Zero","[gov.uk](https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics)","Open Government Licence v3.0"
+"ons_lad","UK Local Authority Districts May 2024 Boundaries","Contains shapefiles of local authorities in the United Kingdom.","UK Office for National Statistics","[geoportal.statistics.gov.uk](https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about)","Open Government Licence v.3.0"
+"bidding_zones_electricitymaps","Electricity Maps Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","Electricity Maps","[github.com](https://github.com/electricitymaps/electricitymaps-contrib)","AGPL-3.0"
+"bidding_zones_entsoepy","ENTSOE-PY Bidding Zones","Geospatial data defining bidding zones for electricity markets in Europe","EnergieID","[github.com](https://github.com/EnergieID/entsoe-py)","MIT"
diff --git a/doc/data_sources.md b/doc/data_sources.md
new file mode 100644
index 0000000000..3651761e4c
--- /dev/null
+++ b/doc/data_sources.md
@@ -0,0 +1,78 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Data Sources
+
+PyPSA-Eur is compiled from a variety of data sources. The following table provides an
+overview of the data sources used in PyPSA-Eur. Different licenses apply to the
+data sources.
+
+# Data Versioning {#managing_data_versions}
+
+Many of the data sources used in PyPSA-Eur are updated regularly.
+To ensure reproducibility, PyPSA-Eur uses a versioning system for data sources which
+allows users to select specific versions of the data sources to use in their models.
+Next to the versioning and if the license allows, most datasets are also mirrored to a
+public file storage for the repository under `https://data.pypsa.org`.
+
+!!! note
+    For users, selection and control over which data sources to use is managed through the configuration file.
+    See [Data Configuration](configuration.md#data_cf) for details. In most cases you just wanna stick with the latest archive
+    version. Reproducibility is given even when using the `latest` tag via the
+    `versions.csv`, which is version controlled.
+
+## Understanding `versions.csv`
+
+The file `data/versions.csv` is the central registry for all data sources and their versions.
+Each row defines a specific version of a dataset with the following columns:
+
+* `dataset`: The name of the dataset (e.g., `worldbank_urban_population`).
+* `version`: The version identifier, typically following the original data source's versioning (e.g., `2025-08-14`).
+* `source`: The source type - `primary` (original data source), `archive` (mirrored copy on `data.pypsa.org`), or `build` (generated from other data).
+* `tags`: Space-separated tags like `latest`, `supported` or `deprecated`.
+* `added`: The date when this entry was added to the registry.
+* `note`: Optional notes about the dataset or version.
+* `url`: The download URL for the data.
+
+Entries to the `versions.csv` are never deleted and if a dataset was removed or is not available, the entry is marked as `deprecated`.
+
+!!! note
+    For `primary` sources, each combination of dataset and version should point to a specific version of that dataset with a unique URL.
+    If the original data source does not provide versioned URLs (i.e., the URL always points to the latest data), the `version` is set to `unknown`.
+    In this case, the corresponding `archive` entries do not mirror the same version but represent snapshots taken at specific points in time from that primary source.
+
+## Adding a new version of a dataset
+
+If you notice that a data source has been updated and want to add the new version to PyPSA-Eur:
+
+1. Add a new row to `data/versions.csv` with the same `dataset` name, the new `version`, `source` set to `primary`, and the `url` pointing to the original data source.
+2. Set appropriate tags (typically `latest supported`).
+3. Update the tags of the previous version (remove `latest`, keep `supported` if still compatible).
+4. Create a pull request with your changes.
+5. Of course, any potential workflow adjustments should be considered and implemented as well.
+
+!!! note
+    If the `primary` source has `version` set to `unknown` (i.e., the URL always points to the latest data) and a new version is available that has not been archived yet, please open an issue on the [PyPSA-Eur GitHub repository](https://github.com/pypsa/pypsa-eur/issues) to request an archive update.
+
+## Adding a new dataset
+
+To add a completely new data source to PyPSA-Eur:
+
+1. Add a `primary` entry to `data/versions.csv` with a new unique dataset name, version, and URL pointing to the original data source.
+2. Implement a `retrieve` rule for your dataset in `rules/retrieve.smk`.
+   Take inspiration from existing rules in the file.
+3. Add the new data source to:
+
+   * `data` section in the pydantic schema `scripts/lib/validation/config/data.py`
+   * `data_inventory.csv` data inventory for PyPSA-Eur
+
+4. Create a pull request with your changes.
+
+!!! note
+    Maintainers of the repository will create the corresponding `archive` entry after reviewing your contribution.
+
+# Data inventory
+
+{{ read_csv("doc/data_inventory.csv") }}
+
diff --git a/doc/data_sources.rst b/doc/data_sources.rst
deleted file mode 100644
index 71b7cb7a01..0000000000
--- a/doc/data_sources.rst
+++ /dev/null
@@ -1,105 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-#############
-Data Sources
-#############
-
-PyPSA-Eur is compiled from a variety of data sources. The following table provides an
-overview of the data sources used in PyPSA-Eur. Different licenses apply to the
-data sources.
-
-.. toctree::
-   :maxdepth: 1
-
-   ../tyndp_2024
-   ../data-base-network
-   ../data-cutouts
-   ../data-repos
-
-
-.. _managing_data_versions:
-
-#################
-Data Versioning
-#################
-
-Many of the data sources used in PyPSA-Eur are updated regularly.
-To ensure reproducibility, PyPSA-Eur uses a versioning system for data sources which
-allows users to select specific versions of the data sources to use in their models.
-Next to the versioning and if the license allows, most datasets are also mirrored to a
-public file storage for the repository under ``https://data.pypsa.org``.
-
-.. note::
-    For users, selection and control over which data sources to use is managed through the configuration file.
-    See :ref:`data_cf` for details. In most cases you just wanna stick with the latest archive
-    version. Reproducibility is given even when using the ``latest`` tag via the
-    ``versions.csv``, which is version controlled.
-
-*****************************
-Understanding ``versions.csv``
-*****************************
-
-The file ``data/versions.csv`` is the central registry for all data sources and their versions.
-Each row defines a specific version of a dataset with the following columns:
-
-* ``dataset``: The name of the dataset (e.g., ``worldbank_urban_population``).
-* ``version``: The version identifier, typically following the original data source's versioning (e.g., ``2025-08-14``).
-* ``source``: The source type - ``primary`` (original data source), ``archive`` (mirrored copy on ``data.pypsa.org``), or ``build`` (generated from other data).
-* ``tags``: Space-separated tags like ``latest``, ``supported`` or ``deprecated``.
-* ``added``: The date when this entry was added to the registry.
-* ``note``: Optional notes about the dataset or version.
-* ``url``: The download URL for the data.
-
-Entries to the ``versions.csv`` are never deleted and if a dataset was removed or is not available, the entry is marked as ``deprecated``.
-
-.. note::
-    For ``primary`` sources, each combination of dataset and version should point to a specific version of that dataset with a unique URL.
-    If the original data source does not provide versioned URLs (i.e., the URL always points to the latest data), the ``version`` is set to ``unknown``.
-    In this case, the corresponding ``archive`` entries do not mirror the same version but represent snapshots taken at specific points in time from that primary source.
-
-*******************************
-Adding a new version of a dataset
-*******************************
-
-If you notice that a data source has been updated and want to add the new version to PyPSA-Eur:
-
-1. Add a new row to ``data/versions.csv`` with the same ``dataset`` name, the new ``version``, ``source`` set to ``primary``, and the ``url`` pointing to the original data source.
-2. Set appropriate tags (typically ``latest supported``).
-3. Update the tags of the previous version (remove ``latest``, keep ``supported`` if still compatible).
-4. Create a pull request with your changes.
-5. Of course, any potential workflow adjustments should be considered and implemented as well.
-
-.. note::
-    If the ``primary`` source has ``version`` set to ``unknown`` (i.e., the URL always points to the latest data) and a new version is available that has not been archived yet, please open an issue on the `PyPSA-Eur GitHub repository <https://github.com/pypsa/pypsa-eur/issues>`_ to request an archive update.
-
-*********************
-Adding a new dataset
-*********************
-
-To add a completely new data source to PyPSA-Eur:
-
-1. Add a ``primary`` entry to ``data/versions.csv`` with a new unique dataset name, version, and URL pointing to the original data source.
-2. Implement a ``retrieve`` rule for your dataset in ``rules/retrieve.smk``.
-   Take inspiration from existing rules in the file.
-3. Add the new data source to:
-
-   * ``data`` section in the pydantic schema ``scripts/lib/validation/config/data.py``
-   * ``data_inventory.csv`` data inventory for PyPSA-Eur
-
-4. Create a pull request with your changes.
-
-.. note::
-    Maintainers of the repository will create the corresponding ``archive`` entry after reviewing your contribution.
-
-##############
-Data inventory
-##############
-
-.. csv-table::
-   :header-rows: 1
-   :class: longtable
-   :widths: auto
-   :file: data_inventory.csv
diff --git a/doc/faq_troubleshooting.md b/doc/faq_troubleshooting.md
new file mode 100644
index 0000000000..7c96db650f
--- /dev/null
+++ b/doc/faq_troubleshooting.md
@@ -0,0 +1,146 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# FAQ and Troubleshooting
+
+This page contains frequently asked questions about the Open-TYNDP project:
+
+## General Questions
+
+??? question "What is Open-TYNDP?"
+
+    Open-TYNDP is an open-source research and innovation project, which is a collaboration between [Open Energy Transition (OET)](https://openenergytransition.org/) and ENTSO-E. The project aims to explore the option of a complementary open-source tool in the Ten-Year Network Development Plan (TYNDP) by building a workflow based on PyPSA-Eur. It provides one streamlined tool for the Scenario Building (SB) and the Cost-Benefit Analysis (CBA) of the TYNDP.
+
+??? question "How does Open-TYNDP relate to PyPSA-Eur?"
+
+    Open-TYNDP is a soft-fork of OET/PyPSA-Eur and contains the entire Open-TYNDP project supported by OET, including code and documentation. The workflow automatically downloads publicly available data from an archived repository. OET/PyPSA-Eur itself is a soft-fork of PyPSA/PyPSA-Eur and builds on the open-source ecosystem of PyPSA.
+
+??? question "Is Open-TYNDP ready for production use?"
+
+    Open-TYNDP is under active development and is not yet feature-complete. The current development status and general limitations are important to understand before using the model. Please refer to [limitations](limitations.md) and [development status](index.md#development-status) for more details. The latest version of the model is always available on [GitHub](https://github.com/open-energy-transition/open-tyndp).
+
+??? question "When will Open-TYNDP be ready?"
+
+    The project is currently back-casting the 2024 TYNDP cycle to build confidence before aligning with the 2026 TYNDP cycle in Q2 2026. The [development status](index.md#development-status) page provides a detailed roadmap of implemented and planned features.
+
+??? question "How to use Open-TYNDP?"
+
+    To explore, run, and modify Open-TYNDP, we recommend cloning the repository from [GitHub](https://github.com/open-energy-transition/open-tyndp), which will give you access to the latest version of the model. As Open-TYNDP relies on a set of Python packages, you also need to install these dependencies. Please refer to [installation](installation.md) for more details. However, if you are only interested in getting a first hands-on experience, we also provide a lightweight web-based experience using the [interactive workshops notebooks](https://open-energy-transition.github.io/open-tyndp-workshops).
+
+## Technical Questions
+
+??? question "Which operating systems are supported?"
+
+    The Open-TYNDP workflow is continuously tested for Linux, MacOS and Windows WSL.
+
+??? question "I'm having trouble installing Open-TYNDP or getting started. Where should I start?"
+
+    The most common installation issues involve Python environment setup and solver configuration. We recommend using `pixi` for environment management. For solver setup, HiGHS is included by default for testing, but commercial solvers are supported as well. See [installation](installation.md) for detailed platform-specific instructions, solver configuration guidance and alternative environment manager if you prefer using `conda`.
+
+??? question "What computational resources do I need to run Open-TYNDP models?"
+
+    Full TYNDP scenario runs require significant computational resources: typically 55GB RAM, 8 CPU cores, and 1h15 runtime for NT scenario and a single planning horizon, using a commercial solver such as Gurobi. However, CBA assessment requirements are lower, typically running on standard workstations and HiGHS for around a minute per project. For testing and exploration, you can use smaller configurations using reduced temporal/spatial resolution that run on standard workstations and HiGHS. The TYNDP test configuration defined by `config/test/config.tyndp.yaml` is a good starting point. You can also explore lightweight and web-based examples using the [interactive workshops notebook](https://open-energy-transition.github.io/open-tyndp-workshops).
+
+??? question "What solver do I need to solve Open-TYNDP models?"
+
+    It depends on the model you want to run. We recommend using HiGHS for exploring and testing the models at low temporal resolution, typically `52SEG`. HiGHS can also be used for CBA assessments. However, with higher temporal resolution, the SB models are larger and require a commercial solver.
+
+??? question "What should I do if the Open-TYNDP workflow is not running through?"
+
+    If you're experiencing issues running the workflow, please try the following troubleshooting steps:
+
+    1. **Ensure you're on the latest version**: Pull the latest changes from the repository, as recent bug fixes may resolve your issue: `git pull origin master`
+
+    2. **Update your environment**: Make sure your environment is up to date with the latest dependencies. For pixi users: `pixi update`. For conda users: `conda env update -f envs/environment.yaml` followed by `conda activate open-tyndp`.
+
+    3. **Perform a clean run**: Clear cached results and force Snakemake to rebuild everything from scratch: `snakemake -F`
+
+    4. **Review your configuration**: Check if you made any recent changes to `config.yaml` that might be causing issues. Try reverting to the default configuration to see if the problem persists. Verify that all file paths and settings are correct.
+
+    5. **Clear temporary and cache files**: Sometimes corrupted temporary files can cause issues. Remove the `.snakemake` directory: `rm -rf .snakemake`
+
+    6. **Verify data downloads**: Ensure that all data retrieval steps completed successfully. Check if downloaded input files are complete and not corrupted.
+
+    7. **Test with a minimal configuration**: Try running the workflow with a simplified configuration (e.g., fewer scenarios, smaller geographical scope, single weather year) to isolate the issue.
+
+    8. **Check for specific error messages**: Look at the terminal output for specific error messages that indicate which rule is failing and why.
+
+    9. **Re-create your environment**: In some rare cases the environment gets corrupted and needs to be re-created. The simplest way is exiting the current pixi environment, deleting the .pixi directory and entering the pixi shell again via e.g., `pixi shell -e open-tyndp`. An example of such an error is e.g., that out of nothing snakemake returns a runtime error without having changed the installed packages at all.
+
+    If none of these steps resolve your problem, please feel free to open an issue on our [GitHub repository](https://github.com/open-energy-transition/open-tyndp) or contact us directly (see [support](support.md)).
+
+??? question "My workflow is failing or producing unexpected results. How do I troubleshoot?"
+
+    Start by running `snakemake -call --configfile config/config.tyndp.yaml -n` (dry-run) to validate workflow structure without execution. Then, check log files in `logs/` and verify intermediate results at each workflow stage. For persistent issues, see [support](support.md) for community assistance channels.
+
+??? question "I would like to develop my own features in a fork. What are your recommendations?"
+
+    We recommend following the [soft-fork strategy](https://open-energy-transition.github.io/handbook/docs/Engineering/SoftForkStrategy) maintained by Open Energy Transition (OET). This approach allows you to maintain your own fork with custom features while staying synchronized with upstream improvements from both Open-TYNDP and PyPSA-Eur. The strategy provides guidance on organizing changes, managing merge conflicts, and contributing improvements back to the upstream repositories when appropriate.
+
+??? question "Why do I get a ValueError about renaming 'name' in the offshore constraints?"
+
+    This error occurs when running Open-TYNDP code with an older PyPSA version (e.g., 0.35.2) from a recycled conda environment. The Open-TYNDP master branch is compatible with PyPSA v1, which uses different dimension naming than older versions ([Issue #337](https://github.com/open-energy-transition/open-tyndp/issues/337)).
+
+    **Fix:** Always recreate your conda/pixi environment when cloning or updating the repository. Update to Open-TYNDP v0.4.1 or later for backward compatibility ([PR #339](https://github.com/open-energy-transition/open-tyndp/pull/339)). We recommend using the most recent locked environment for each release.
+
+??? question "Using Windows WSL: Why is snakemake so slow?"
+
+    Running Open-TYNDP within Windows comes with the risk of mixing activities on Linux-controlled and Windows-controlled filesystems.
+
+    **Fix:** To ensure the best performance all data related to Open-TYNDP needs to be stored within the Linux-controlled filesystem (e.g., "/home/userA/open-tyndp").
+
+## Model Data and Assumptions
+
+??? question "What data sources and assumptions does Open-TYNDP use, and where can I find them?"
+
+    Open-TYNDP integrates TYNDP 2024 data (electricity demand, hydrogen topology, PECD renewable profiles, PEMMDB capacities, CBA projects and more) with PyPSA-Eur's open-source workflow. All data sources and their licenses are documented in [tyndp_2024](tyndp_2024.md). The Open-TYNDP reproduces the 2024 TYNDP-specific assumptions and methodology based on the [TYNDP 2024 Scenarios Methodology Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf).
+
+??? question "How can I verify that Open-TYNDP results are reliable and accurate?"
+
+    Open-TYNDP includes a comprehensive benchmarking framework that validates model outputs against published TYNDP 2024 data using a multi-criteria approach. The framework is documented in [benchmarking](benchmarking.md) and the current results for NT scenario in the dedicated section of the [3rd workshop notebook](https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#benchmark-results). Be aware that Open-TYNDP is under active development (see [limitations](limitations.md) and [development status](index.md#development-status)), and validation is ongoing as features are implemented.
+
+## Flexibility and Independence
+
+??? question "Can I use Open-TYNDP with my own private data?"
+
+    Yes, you can use Open-TYNDP with your own private data. The open-source nature of the codebase means you have full flexibility to integrate your proprietary or confidential data without any obligation to make it public. We covered this topic during the [3rd workshop](https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#modify-assumptions).
+
+??? question "Do I need to share my code modifications or developments?"
+
+    No, there is no obligation to share your code modifications or developments publicly. You have full governance over your own fork. You can keep your code and development private while still benefiting from updates and improvements in the Open-TYNDP repository. You can update your private codebase based on changes in Open-TYNDP at your own pace.
+
+??? question "Am I required to contribute my changes back to Open-TYNDP?"
+
+    No, contributions are welcome but entirely voluntary. You are free to use Open-TYNDP without any obligation to contribute back. However, contributing improvements, bug fixes, or new features helps strengthen the ecosystem and benefits the broader community.
+
+??? question "Can I collaborate with other organisations privately?"
+
+    Yes, you can collaborate with other organisations privately. There is no obligation to share data or code publicly when working with partners. Independent organisations can develop their own private repositories using the publicly available Open-TYNDP codebase, enabling private collaboration while maintaining interoperability through the shared foundation.
+
+??? question "What are the benefits of the open-source approach?"
+
+    The open-source approach provides several benefits: full independence in governance and decision-making, flexibility to keep parts of your work private, ability to request support and feature development from other actors in the ecosystem, interoperability with other organisations using the same foundation, and opportunities for co-developing features through partnerships when desired.
+
+## Explore results
+
+??? question "Where can I find the latest results?"
+
+    The preliminary results for the NT scenario and the corresponding benchmarking outputs are presented in the [3rd workshop notebook](https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#benchmark-results). However, new fixes and features are constantly integrated in the model. The latest networks and corresponding benchmarks are also available in a [ZIP archive](https://storage.googleapis.com/open-tyndp-data-store/runs/NT-1H-20251209.zip). Be aware that Open-TYNDP is under active development (see [limitations](limitations.md) and [development status](index.md#development-status)), and validation is ongoing as features are implemented.
+
+??? question "Is there a way to interactively visualize results?"
+
+    Yes, the [PyPSA-Explorer](https://github.com/open-energy-transition/PyPSA-Explorer) provides interactive visualization capabilities for Open-TYNDP results. This tool was introduced in the [3rd workshop](https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#interactive-exploration-with-pypsa-explorer).
+
+## Contributing and Support
+
+??? question "How can I contribute to Open-TYNDP?"
+
+    We strongly welcome contributions! You can file issues or make pull requests on [Github](https://github.com/open-energy-transition/open-tyndp) or directly on the [PyPSA-Eur Upstream](https://github.com/PyPSA/PyPSA-Eur). Please also refer to the [contributing](contributing.md) section.
+
+??? question "Where can I get help if I encounter issues?"
+
+    Please refer to the [support](support.md) page for various ways to reach out to us and the community, including Discord, mailing lists, and issue trackers.
+
+??? question "Where can I report bugs or request features?"
+
+    For bugs and feature requests, please use the [Open-TYNDP issues](https://github.com/open-energy-transition/open-tyndp/issues).
diff --git a/doc/faq_troubleshooting.rst b/doc/faq_troubleshooting.rst
deleted file mode 100644
index 8fde71fc1f..0000000000
--- a/doc/faq_troubleshooting.rst
+++ /dev/null
@@ -1,158 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _faq_troubleshooting:
-
-###############################################
-FAQ and Troubleshooting
-###############################################
-
-This page contains frequently asked questions about the Open-TYNDP project:
-
-General Questions
-==================
-
-.. admonition:: What is Open-TYNDP?
-
-   Open-TYNDP is an open-source research and innovation project, which is a collaboration between `Open Energy Transition (OET) <https://openenergytransition.org/>`__ and ENTSO-E. The project aims to explore the option of a complementary open-source tool in the Ten-Year Network Development Plan (TYNDP) by building a workflow based on PyPSA-Eur. It provides one streamlined tool for the Scenario Building (SB) and the Cost-Benefit Analysis (CBA) of the TYNDP.
-
-.. admonition:: How does Open-TYNDP relate to PyPSA-Eur?
-
-   Open-TYNDP is a soft-fork of OET/PyPSA-Eur and contains the entire Open-TYNDP project supported by OET, including code and documentation. The workflow automatically downloads publicly available data from an archived repository. OET/PyPSA-Eur itself is a soft-fork of PyPSA/PyPSA-Eur and builds on the open-source ecosystem of PyPSA.
-
-.. admonition:: Is Open-TYNDP ready for production use?
-
-   Open-TYNDP is under active development and is not yet feature-complete. The current development status and general limitations are important to understand before using the model. Please refer to :doc:`limitations` and :ref:`development-status` for more details. The latest version of the model is always available on `GitHub <https://github.com/open-energy-transition/open-tyndp>`__.
-
-.. admonition:: When will Open-TYNDP be ready?
-
-   The project is currently back-casting the 2024 TYNDP cycle to build confidence before aligning with the 2026 TYNDP cycle in Q2 2026. The :ref:`development-status` page provides a detailed roadmap of implemented and planned features.
-
-.. admonition:: How to use Open-TYNDP?
-
-    To explore, run, and modify Open-TYNDP, we recommend cloning the repository from `GitHub <https://github.com/open-energy-transition/open-tyndp>`__, which will give you access to the latest version of the model. As Open-TYNDP relies on a set of Python packages, you also need to install these dependencies. Please refer to :ref:`clone_repo` and :ref:`deps` for more details. However, if you are only interested in getting a first hands-on experience, we also provide a lightweight web-based experience using the `interactive workshops notebooks <https://open-energy-transition.github.io/open-tyndp-workshops>`_.
-
-
-Technical Questions
-===================
-
-.. admonition:: Which operating systems are supported?
-
-   The Open-TYNDP workflow is continuously tested for Linux, MacOS and Windows WSL.
-
-.. admonition:: I'm having trouble installing Open-TYNDP or getting started. Where should I start?
-
-   The most common installation issues involve Python environment setup and solver configuration. We recommend using ``pixi`` for environment management. For solver setup, HiGHS is included by default for testing, but commercial solvers are supported as well. See :doc:`installation` for detailed platform-specific instructions, solver configuration guidance and alternative environment manager if you prefer using ``conda``.
-
-.. admonition:: What computational resources do I need to run Open-TYNDP models?
-
-   Full TYNDP scenario runs require significant computational resources: typically 55GB RAM, 8 CPU cores, and 1h15 runtime for NT scenario and a single planning horizon, using a commercial solver such as Gurobi. However, CBA assessment requirements are lower, typically running on standard workstations and HiGHS for around a minute per project. For testing and exploration, you can use smaller configurations using reduced temporal/spatial resolution that run on standard workstations and HiGHS. The TYNDP test configuration defined by ``config/test/config.tyndp.yaml`` is a good starting point. You can also explore lightweight and web-based examples using the `interactive workshops notebook <https://open-energy-transition.github.io/open-tyndp-workshops>`_.
-
-.. admonition:: What solver do I need to solve Open-TYNDP models?
-
-    It depends on the model you want to run. We recommend using HiGHS for exploring and testing the models at low temporal resolution, typically `52SEG`. HiGHS can also be used for CBA assessments. However, with higher temporal resolution, the SB models are larger and require a commercial solver.
-
-.. admonition:: What should I do if the Open-TYNDP workflow is not running through?
-
-   If you're experiencing issues running the workflow, please try the following troubleshooting steps:
-
-   1. **Ensure you're on the latest version**: Pull the latest changes from the repository, as recent bug fixes may resolve your issue: ``git pull origin master``
-
-   2. **Update your environment**: Make sure your environment is up to date with the latest dependencies. For pixi users: ``pixi update``. For conda users: ``conda env update -f envs/environment.yaml`` followed by ``conda activate open-tyndp``.
-
-   3. **Perform a clean run**: Clear cached results and force Snakemake to rebuild everything from scratch: ``snakemake -F``
-
-   4. **Review your configuration**: Check if you made any recent changes to ``config.yaml`` that might be causing issues. Try reverting to the default configuration to see if the problem persists. Verify that all file paths and settings are correct.
-
-   5. **Clear temporary and cache files**: Sometimes corrupted temporary files can cause issues. Remove the ``.snakemake`` directory: ``rm -rf .snakemake``
-
-   6. **Verify data downloads**: Ensure that all data retrieval steps completed successfully. Check if downloaded input files are complete and not corrupted.
-
-   7. **Test with a minimal configuration**: Try running the workflow with a simplified configuration (e.g., fewer scenarios, smaller geographical scope, single weather year) to isolate the issue.
-
-   8. **Check for specific error messages**: Look at the terminal output for specific error messages that indicate which rule is failing and why.
-
-   9. **Re-create your environment**: In some rare cases the environment gets corrupted and needs to be re-created. The simplest way is exiting the current pixi environment, deleting the .pixi directory and entering the pixi shell again via e.g., ``pixi shell -e open-tyndp``. An example of such an error is e.g.., that out of nothing snakemake returns a runtime error without having changed the installed packages at all.
-
-   If none of these steps resolve your problem, please feel free to open an issue on our `GitHub repository <https://github.com/open-energy-transition/open-tyndp>`__ or contact us directly (see :doc:`support`).
-
-.. admonition:: My workflow is failing or producing unexpected results. How do I troubleshoot?
-
-   Start by running ``snakemake -call --configfile config/config.tyndp.yaml -n`` (dry-run) to validate workflow structure without execution. Then, check log files in ``logs/`` and verify intermediate results at each workflow stage. For persistent issues, see :doc:`support` for community assistance channels.
-
-.. admonition:: I would like to develop my own features in a fork. What are your recommendations?
-
-   We recommend following the `soft-fork strategy <https://open-energy-transition.github.io/handbook/docs/Engineering/SoftForkStrategy>`_ maintained by Open Energy Transition (OET). This approach allows you to maintain your own fork with custom features while staying synchronized with upstream improvements from both Open-TYNDP and PyPSA-Eur. The strategy provides guidance on organizing changes, managing merge conflicts, and contributing improvements back to the upstream repositories when appropriate.
-
-.. admonition:: Why do I get a ValueError about renaming 'name' in the offshore constraints?
-
-   This error occurs when running Open-TYNDP code with an older PyPSA version (e.g., 0.35.2) from a recycled conda environment. The Open-TYNDP master branch is compatible with PyPSA v1, which uses different dimension naming than older versions (`Issue #337 <https://github.com/open-energy-transition/open-tyndp/issues/337>`_).
-
-   **Fix:** Always recreate your conda/pixi environment when cloning or updating the repository. Update to Open-TYNDP v0.4.1 or later for backward compatibility (`PR #339 <https://github.com/open-energy-transition/open-tyndp/pull/339>`_). We recommend using the most recent locked environment for each release.
-
-.. admonition:: Using Windows WSL: Why is snakemake so slow?
-
-   Running Open-TYNDP within Windows comes with the risk of mixing activities on Linux-controlled and Windows-controlled filesystems.
-
-   **Fix:** To ensure the best performance all data related to Open-TYNDP needs to be stored within the Linux-controlled filesystem (.e.g, "/home/userA/open-tyndp").
-
-Model Data and Assumptions
-===========================
-
-.. admonition:: What data sources and assumptions does Open-TYNDP use, and where can I find them?
-
-   Open-TYNDP integrates TYNDP 2024 data (electricity demand, hydrogen topology, PECD renewable profiles, PEMMDB capacities, CBA projects and more) with PyPSA-Eur's open-source workflow. All data sources and their licenses are documented in :doc:`tyndp_2024`. The Open-TYNDP reproduces the 2024 TYNDP-specific assumptions and methodology based on the `TYNDP 2024 Scenarios Methodology Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf>`__.
-
-.. admonition:: How can I verify that Open-TYNDP results are reliable and accurate?
-
-   Open-TYNDP includes a comprehensive benchmarking framework that validates model outputs against published TYNDP 2024 data using a multi-criteria approach. The framework is documented in :doc:`benchmarking` and the current results for NT scenario in the dedicated section of the `3rd workshop notebook <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#benchmark-results>`__. Be aware that Open-TYNDP is under active development (see :doc:`limitations` and :ref:`development-status`), and validation is ongoing as features are implemented.
-
-Flexibility and Independence
-=============================
-
-.. admonition:: Can I use Open-TYNDP with my own private data?
-
-   Yes, you can use Open-TYNDP with your own private data. The open-source nature of the codebase means you have full flexibility to integrate your proprietary or confidential data without any obligation to make it public. We covered this topic during the `3rd workshop <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#modify-assumptions>`__.
-
-.. admonition:: Do I need to share my code modifications or developments?
-
-   No, there is no obligation to share your code modifications or developments publicly. You have full governance over your own fork. You can keep your code and development private while still benefiting from updates and improvements in the Open-TYNDP repository. You can update your private codebase based on changes in Open-TYNDP at your own pace.
-
-.. admonition:: Am I required to contribute my changes back to Open-TYNDP?
-
-   No, contributions are welcome but entirely voluntary. You are free to use Open-TYNDP without any obligation to contribute back. However, contributing improvements, bug fixes, or new features helps strengthen the ecosystem and benefits the broader community.
-
-.. admonition:: Can I collaborate with other organisations privately?
-
-   Yes, you can collaborate with other organisations privately. There is no obligation to share data or code publicly when working with partners. Independent organisations can develop their own private repositories using the publicly available Open-TYNDP codebase, enabling private collaboration while maintaining interoperability through the shared foundation.
-
-.. admonition:: What are the benefits of the open-source approach?
-
-   The open-source approach provides several benefits: full independence in governance and decision-making, flexibility to keep parts of your work private, ability to request support and feature development from other actors in the ecosystem, interoperability with other organisations using the same foundation, and opportunities for co-developing features through partnerships when desired.
-
-Explore results
-================
-
-.. admonition:: Where can I find the latest results?
-
-   The preliminary results for the NT scenario and the corresponding benchmarking outputs are presented in the `3rd workshop notebook <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#benchmark-results>`_. However, new fixes and features are constantly integrated in the model. The latest networks and corresponding benchmarks are also available in a `ZIP archive <https://storage.googleapis.com/open-tyndp-data-store/runs/NT-1H-20251209.zip>`__. Be aware that Open-TYNDP is under active development (see :doc:`limitations` and :ref:`development-status`), and validation is ongoing as features are implemented.
-
-.. admonition:: Is there a way to interactively visualize results?
-
-   Yes, the `PyPSA-Explorer <https://github.com/open-energy-transition/PyPSA-Explorer>`_ provides interactive visualization capabilities for Open-TYNDP results. This tool was introduced in the `3rd workshop <https://open-energy-transition.github.io/open-tyndp-workshops/20251203-workshop-pypsa-03.html#interactive-exploration-with-pypsa-explorer>`_.
-
-Contributing and Support
-========================
-
-.. admonition:: How can I contribute to Open-TYNDP?
-
-   We strongly welcome contributions! You can file issues or make pull requests on `Github <https://github.com/open-energy-transition/open-tyndp>`_ or directly on the `PyPSA-Eur Upstream <https://github.com/PyPSA/PyPSA-Eur>`_. Please also refer to the :doc:`contributing` section.
-
-.. admonition:: Where can I get help if I encounter issues?
-
-   Please refer to the :doc:`support` page for various ways to reach out to us and the community, including Discord, mailing lists, and issue trackers.
-
-.. admonition:: Where can I report bugs or request features?
-
-   For bugs and feature requests, please use the `Open-TYNDP issues <https://github.com/open-energy-transition/open-tyndp/issues>`_.
diff --git a/doc/foresight.rst b/doc/foresight.md
similarity index 55%
rename from doc/foresight.rst
rename to doc/foresight.md
index 6a49c63373..3995aa584a 100644
--- a/doc/foresight.rst
+++ b/doc/foresight.md
@@ -1,74 +1,56 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-.. _foresight:
+# Foresight Options {#foresight}
 
-#####################
-Foresight Options
-#####################
-
-.. _overnight:
-
-Overnight (greenfield) scenarios
-================================
+## Overnight (greenfield) scenarios {#overnight}
 
 The default is to calculate a rebuilding of the energy system to meet demand, a so-called overnight or greenfield approach.
 
-In this case, the ``planning_horizons`` parameter specifies the reference year for exogenously given transition paths (e.g. the level of steel recycling).
+In this case, the `planning_horizons` parameter specifies the reference year for exogenously given transition paths (e.g. the level of steel recycling).
 It does not affect the year for cost and technology assumptions, which is set separately in the config.
 
-.. code:: yaml
-
-  scenario:
-    planning_horizons:
-    - 2050
+```yaml
+scenario:
+  planning_horizons:
+  - 2050
 
-  costs:
-    year: 2030
+costs:
+  year: 2030
+```
 
-For running overnight scenarios, use in the ``config/config.yaml``:
+For running overnight scenarios, use in the `config/config.yaml`:
 
-.. code:: yaml
+```yaml
+foresight: overnight
+```
 
-  foresight: overnight
+## Perfect foresight scenarios {#perfect}
 
-.. _perfect:
+!!! warning
 
-Perfect foresight scenarios
-===========================
-
-.. warning::
-
-  Perfect foresight is currently implemented as an experimental test version.
+    Perfect foresight is currently implemented as an experimental test version.
 
 For running perfect foresight scenarios, you can adjust the
- ``config/config.perfect.yaml``:
-
-.. code:: yaml
+ `config/config.perfect.yaml`:
 
-  foresight: perfect
+```yaml
+foresight: perfect
+```
 
-
-.. _myopic:
-
-Myopic foresight scenarios
-=============================
+## Myopic foresight scenarios {#myopic}
 
 The myopic code can be used to investigate progressive changes in a network, for
 instance, those taking place throughout a transition path. The capacities
 installed in a certain time step are maintained in the network until their
 operational lifetime expires.
 
-The myopic approach was initially developed and used in the paper `Early
-decarbonisation of the European Energy system pays off (2020)
-<https://www.nature.com/articles/s41467-020-20015-4>`__ and later further
-extended in `Speed of technological transformations required in Europe to
-achieve different climate goals (2022)
-<https://doi.org/10.1016/j.joule.2022.04.016>`__. The current implementation
+The myopic approach was initially developed and used in the paper [Early
+decarbonisation of the European Energy system pays off (2020)](https://www.nature.com/articles/s41467-020-20015-4) and later further
+extended in [Speed of technological transformations required in Europe to
+achieve different climate goals (2022)](https://doi.org/10.1016/j.joule.2022.04.016). The current implementation
 complies with the PyPSA-Eur-Sec standard working flow and is compatible with
-using the higher resolution electricity transmission model `PyPSA-Eur
-<https://github.com/PyPSA/pypsa-eur>`__ rather than a one-node-per-country
+using the higher resolution electricity transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) rather than a one-node-per-country
 model.
 
 The current code applies the myopic approach to generators, storage technologies
@@ -77,7 +59,7 @@ heating sector (e.g., the share of district heating and reduced space heat
 demand), industry processes (e.g., steel, direct reduced iron, and aluminum
 production via primary route), the share of fuel cell and battery electric
 vehicles in land transport, and the hydrogen share in shipping (see
-:doc:`supply_demand` for further information).
+[Supply and Demand](supply_demand.md) for further information).
 
 The following subjects within the land transport and biomass currently do not
 evolve with the myopic approach:
@@ -88,34 +70,29 @@ evolve with the myopic approach:
 - The annual biomass potential (default year and scenario for which potential is
   taken is 2030, as defined in config)
 
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at: biomass:
-   :end-at: year:
-
+```yaml
+{{ yaml_section("biomass.year") }}
+```
 
-Configuration
---------------
+### Configuration
 
-For running myopic foresight transition scenarios, set in ``config/config.yaml``:
+For running myopic foresight transition scenarios, set in `config/config.yaml`:
 
-.. code:: yaml
+```yaml
+foresight: myopic
+```
 
-  foresight: myopic
-
-The following options included in the ``config/config.yaml`` file  are relevant for the
+The following options included in the `config/config.yaml` file  are relevant for the
 myopic code.
 
-The ``{planning_horizons}`` wildcard indicates the year in which the network is
+The `{planning_horizons}` wildcard indicates the year in which the network is
 optimized. For a myopic optimization, this is equivalent to the investment year.
 To set the investment years which are sequentially simulated for the myopic
 investment planning, select for example:
 
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at:   planning_horizons:
-   :end-before: countries:
-
+```yaml
+{{ yaml_section("scenario.planning_horizons", source="test/config.myopic.yaml") }}
+```
 
 **existing capacities**
 
@@ -123,24 +100,17 @@ Grouping years indicates the bins limits for grouping the existing capacities of
 different technologies. Note that separate bins are defined for the power and
 heating plants due to different data sources.
 
-``grouping_years_power: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020,
-2025, 2030]``
-
-``grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019]``
-
-
-
+`grouping_years_power: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020,
+2025, 2030]`
 
+`grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019]`
 
 **threshold capacity**
 
 If for a technology, node, and grouping bin, the capacity is lower than
 threshold_capacity, it is ignored.
 
-``threshold_capacity: 10``
-
-
-
+`threshold_capacity: 10`
 
 **conventional carriers**
 
@@ -157,101 +127,88 @@ technologies.
 
     \- uranium
 
-
-
-
-Options
---------------
+### Options
 
 The total carbon budget for the entire transition path can be indicated in the
-`sector_opts
-<https://github.com/PyPSA/pypsa-eur-sec/blob/f13902510010b734c510c38c4cae99356f683058/config.default.yaml#L25>`__
-in ``config/config.yaml``. The carbon budget can be split among the
-``planning_horizons`` following an exponential or beta decay. E.g. ``'cb40ex0'``
-splits a carbon budget equal to 40 Gt :math:`_{CO_2}` following an exponential
+[sector_opts](https://github.com/PyPSA/pypsa-eur-sec/blob/f13902510010b734c510c38c4cae99356f683058/config.default.yaml#L25)
+in `config/config.yaml`. The carbon budget can be split among the
+`planning_horizons` following an exponential or beta decay. E.g. `'cb40ex0'`
+splits a carbon budget equal to 40 Gt $_{CO_2}$ following an exponential
 decay whose initial linear growth rate r is zero. They can also follow some
-user-specified path, if defined `here
-<https://github.com/PyPSA/pypsa-eur-sec/blob/413254e241fb37f55b41caba7264644805ad8e97/config.default.yaml#L56>`__.
-The paper `Speed of technological transformations required in Europe to achieve
-different climate goals (2022) <https://doi.org/10.1016/j.joule.2022.04.016>`__
-defines CO_2 budgets corresponding to global temperature increases (1.5C – 2C)
+user-specified path, if defined [here](https://github.com/PyPSA/pypsa-eur-sec/blob/413254e241fb37f55b41caba7264644805ad8e97/config.default.yaml#L56).
+The paper [Speed of technological transformations required in Europe to achieve
+different climate goals (2022)](https://doi.org/10.1016/j.joule.2022.04.016)
+defines CO_2 budgets corresponding to global temperature increases (1.5C -- 2C)
 as response to the emissions. Here, global carbon budgets are converted to
 European budgets assuming equal-per capita distribution which translates into a
 6.43% share for Europe. The carbon budgets are in this paper distributed
 throughout the transition paths assuming an exponential decay. Emissions e(t) in
 every year t are limited by
 
-.. math::
-  e(t) = e_0 (1+ (r+m)t) e^{-mt}
+$$
+e(t) = e_0 (1+ (r+m)t) e^{-mt}
+$$
 
 where r is the initial linear growth rate, which here is assumed to be r=0, and
 the decay parameter m is determined by imposing the integral of the path to be
 equal to the budget for Europe. Following this approach, the CO_2 budget is
 defined. Following the same approach as in this paper, add the following to the
-``scenario.sector_opts`` E.g.  ``-cb25.7ex0`` (1.5C increase) Or ``cb73.9ex0``
-(2C increase). See details in Supplemental Note S1 `Speed of technological
-transformations required in Europe to achieve different climate goals (2022)
-<https://doi.org/10.1016/j.joule.2022.04.016>`__.
+`scenario.sector_opts` E.g.  `-cb25.7ex0` (1.5C increase) Or `cb73.9ex0`
+(2C increase). See details in Supplemental Note S1 [Speed of technological
+transformations required in Europe to achieve different climate goals (2022)](https://doi.org/10.1016/j.joule.2022.04.016).
 
-
-General myopic code structure
----------------------------------
+### General myopic code structure
 
 The myopic code solves the network for the time steps included in
-``planning_horizons`` in a recursive loop, so that:
+`planning_horizons` in a recursive loop, so that:
 
 1. The existing capacities (those installed before the base year are added as
    fixed capacities with p_nom=value, p_nom_extendable=False). E.g. for
    baseyear=2020, capacities installed before 2020 are added. In addition, the
    network comprises additional generator, storage, and link capacities with
    p_nom_extendable=True. The non-solved network is saved in
-   ``resources/run_name/networks``.
+   `resources/run_name/networks`.
 
-The base year is the first element in ``planning_horizons``. Step 1 is
+The base year is the first element in `planning_horizons`. Step 1 is
 implemented with the rule add_baseyear for the base year and with the rule
 add_brownfield for the remaining planning_horizons.
 
 2. The 2020 network is optimized. The solved network is saved in
-   ``results/run_name/networks``
+   `results/run_name/networks`
 
 3. For the next planning horizon, e.g. 2030, the capacities from a previous time
    step are added if they are still in operation (i.e., if they fulfil planning
    horizon <= commissioned year + lifetime). In addition, the network comprises
    additional generator, storage, and link capacities with
    p_nom_extendable=True. The non-solved network is saved in
-   ``results/run_name/networks``.
+   `results/run_name/networks`.
 
 Steps 2 and 3 are solved recursively for all the planning_horizons included in
-``config/config.yaml``.
+`config/config.yaml`.
 
-Rule overview
---------------
+### Rule overview
 
 - rule add_existing baseyear
 
   The rule add_existing_baseyear loads the network in
-  ``resources/run_name/networks`` and performs the following operations:
+  `resources/run_name/networks` and performs the following operations:
 
   1. Add the conventional, wind and solar power generators that were installed
      before the base year.
 
   2. Add the heating capacities that were installed before the base year.
 
-  The existing conventional generators are retrieved from the `powerplants.csv
-  file
-  <https://pypsa-eur.readthedocs.io/en/latest/preparation/build_powerplants.html?highlight=powerplants>`__
-  generated by pypsa-eur which, in turn, is based on the `powerplantmatching
-  <https://github.com/PyPSA/powerplantmatching>`__ database.
+  The existing conventional generators are retrieved from the [powerplants.csv
+  file](https://pypsa-eur.readthedocs.io/en/latest/preparation/build_powerplants.html?highlight=powerplants)
+  generated by pypsa-eur which, in turn, is based on the [powerplantmatching](https://github.com/PyPSA/powerplantmatching) database.
 
-  Existing wind and solar capacities are retrieved from `IRENA annual statistics
-  <https://www.irena.org/Statistics/Download-Data>`__ and distributed among the
+  Existing wind and solar capacities are retrieved from [IRENA annual statistics](https://www.irena.org/Statistics/Download-Data) and distributed among the
   nodes in a country proportional to capacity factor. (This will be updated to
   include capacity distributions closer to reality.)
 
-  Existing heating capacities are retrieved from the report `Mapping and
+  Existing heating capacities are retrieved from the report [Mapping and
   analyses of the current and future (2020 - 2030) heating/cooling fuel
-  deployment (fossil/renewables)
-  <https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1>`__.
+  deployment (fossil/renewables)](https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1).
 
   The heating capacities are assumed to have a lifetime indicated by the
   parameter lifetime in the configuration file, e.g 25 years. They are assumed
@@ -259,7 +216,7 @@ Rule overview
   2045.
 
   Then, the resulting network is saved in
-  ``resources/run_name/networks``.
+  `resources/run_name/networks`.
 
 - rule add_brownfield
 
@@ -267,5 +224,3 @@ Rule overview
   in the previous time step and add them to the
      network if they are still in operation (i.e., if they fulfill planning
      horizon < commissioned year + lifetime)
-
-
diff --git a/doc/hooks.py b/doc/hooks.py
new file mode 100644
index 0000000000..98852f7829
--- /dev/null
+++ b/doc/hooks.py
@@ -0,0 +1,22 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+import os
+
+import requests
+
+
+def on_page_markdown(markdown, page, config, files, **kwargs):
+    import re
+
+    markdown = re.sub(r"(\[\^[^\]]+\]:.*)\n(\[\^)", r"\1\n\n\2", markdown)
+    return markdown
+
+
+def on_post_build(config, **kwargs):
+    url = "https://zenodo.org/records/14144752/files/map.html?download=1"
+    out = os.path.join(config["site_dir"], "base-network-raw.html")
+    os.makedirs(os.path.dirname(out), exist_ok=True)
+    with open(out, "w") as f:
+        f.write(requests.get(url).text)
diff --git a/doc/img/intro-workflow.png b/doc/img/intro-workflow.png
index 6d0b2b6070..5859e2bc82 100644
Binary files a/doc/img/intro-workflow.png and b/doc/img/intro-workflow.png differ
diff --git a/doc/img/workflow.png b/doc/img/workflow.png
index 0b274af8e2..dbec135d3f 100644
Binary files a/doc/img/workflow.png and b/doc/img/workflow.png differ
diff --git a/doc/index.md b/doc/index.md
new file mode 100644
index 0000000000..7344f3ab58
--- /dev/null
+++ b/doc/index.md
@@ -0,0 +1,321 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP
+
+![GitHub release (latest by date including pre-releases)](https://img.shields.io/github/v/release/open-energy-transition/open-tyndp?include_prereleases)
+![commits behind PyPSA-Eur](https://img.shields.io/github/commits-difference/open-energy-transition/open-tyndp?base=master&head=PyPSA:pypsa-eur:master&label=commits%20behind%20PyPSA-Eur)
+[![CI](https://github.com/open-energy-transition/open-tyndp/actions/workflows/test.yaml/badge.svg)](https://github.com/open-energy-transition/open-tyndp/actions)
+[![Documentation](https://readthedocs.org/projects/open-tyndp/badge/?version=latest)](https://open-tyndp.readthedocs.io/en/latest/?badge=latest)
+![GitHub repo size](https://img.shields.io/github/repo-size/open-energy-transition/open-tyndp)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19372053.svg)](https://doi.org/10.5281/zenodo.19372053)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg)](https://doi.org/10.5281/zenodo.3520874)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3938042.svg)](https://doi.org/10.5281/zenodo.3938042)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.14230568.svg)](https://doi.org/10.5281/zenodo.14230568)
+[![Snakemake](https://img.shields.io/badge/snakemake-≥7.19-brightgreen.svg?style=flat)](https://snakemake.readthedocs.io)
+[![Discord](https://img.shields.io/discord/911692131440148490?logo=discord)](https://discord.gg/AnuJBk23FU)
+[![REUSE](https://api.reuse.software/badge/github.com/open-energy-transition/open-tyndp)](https://api.reuse.software/info/github.com/open-energy-transition/open-tyndp)
+
+
+!!! warning
+    Open-TYNDP is under active development and is not yet feature-complete. As of v0.7, Open TYNDP was successfully benchmarked against TYNDP 2024 (see [results](https://open-tyndp.openenergytransition.org)). The current [development status](#development-status) and the general [Limitations](limitations.md) are important to understand before using the model.
+
+
+This repository introduces the open-source model of the Open-TYNDP research and innovation project, which is a collaboration between [Open Energy Transition (OET)](https://openenergytransition.org/) and the European Network of Transmission System Operators for Electricity (ENTSO-E).
+The project's aim is to explore the capabilities of an open-source tool to replicate the Ten-Year Network Development Plan (TYNDP) 2024 by building a workflow based on [PyPSA-Eur](https://github.com/pypsa/pypsa-eur).
+It seeks to complement the tools currently used in the TYNDP cycles, especially for Scenario Building (SB) and Cost-Benefit Analysis (CBA). This approach is designed to enhance transparency and lower barriers to stakeholder participation in European energy planning. Beyond Europe, the project aspires to demonstrate the viability of open-source (OS) frameworks in energy planning, encouraging broader global adoption.
+
+To build trust in and ensure reproducibility with the new open-source toolchain, the project first focuses on replicating key figures from the 2024 TYNDP cycle. This process involves developing new features within the open-source domain to address existing gaps, integrating tools for data interoperability and dynamic visualizations, and publishing best practices to encourage the adoption of open energy models. Additionally, the project emphasizes stakeholder consultations and [interactive workshops](https://open-energy-transition.github.io/open-tyndp-workshops/intro.html) alongside the development of the open-source tool, further promoting collaboration and transparency throughout the process.
+
+First outcomes for the TYNDP 2024 NT scenario are presented [here](https://open-tyndp.openenergytransition.org/), while preliminary outcomes and outputs for every release can be found on [Zenodo](https://zenodo.org/records/19388086).
+
+This repository is a soft-fork of [OET/PyPSA-Eur](https://github.com/open-energy-transition/pypsa-eur) and contains the entire project `Open-TYNDP` supported by OET, including code and documentation. The philosophy behind this repository is that no intermediary results are included, but all results are computed from raw data and code.
+
+Beyond Europe, the project aspires to demonstrate the viability of open-source (OS) frameworks in energy planning, encouraging broader global adoption. To build trust and ensure reproducibility, the project focuses on replicating key figures from the 2024 TYNDP cycle before aligning with current and future TYNDP cycles.
+
+## Why Open-TYNDP?
+
+- **Transparency** — Not only assumptions and inputs are visible and auditable, but the models themselves are fully open.
+- **Reproducibility** — Any stakeholder is able to re-run the TYNDP 2024 National Trends scenario independently.
+- **Additional Resource** — Facilitates broader expert contribution and peer review.
+- **Automated Workflow** — The entire modelling process runs automatically from raw inputs to final outputs via [Snakemake](https://snakemake.readthedocs.io/) and [pixi](https://pixi.prefix.dev/).
+
+## What Can You Do Now?
+
+- **Independently reproduce** and examine the official TYNDP 2024 National Trends scenario.
+- **Test custom scenarios** (e.g., alternative demand or RES assumptions) without starting from scratch.
+- **Directly compare** open-source model results with ENTSO-E outputs in a transparent framework.
+- **Collaborate** more easily across organizations using a shared, community-maintained codebase.
+- **Scale globally** — Use the framework for regional data beyond Europe for transmission planning.
+
+## Who Benefits from This?
+
+- **TSO planners** — Faster iteration on grid investment scenarios and easier sensitivity analysis.
+- **ENTSO-E leadership** — Credible, independent benchmarking builds process legitimacy.
+- **Researchers & policymakers** — Full access to a pan-European model calibrated to official TYNDP 2024 data.
+- **Grid planners beyond Europe** — A reusable framework for regional energy planning.
+
+## Open-Source ecosystem
+
+The Open-TYNDP repository builds on the open-source ecosystem of [PyPSA](https://github.com/pypsa/pypsa) and [PyPSA-Eur](https://github.com/pypsa/pypsa-eur) which are developed and maintained by several organizations, including [Open Energy Transition (OET)](https://openenergytransition.org/), [Technische Universität Berlin (TUB)](https://www.tu.berlin/en/ensys/), [Fraunhofer](https://www.fraunhofer.de/), [Ostbayerische Technische Hochschule (OTH)](https://www.oth-regensburg.de/en/), [Universita di Pisa (UNIPI)](https://www.unipi.it/en/) and [Danmarks Tekniske Universitet (DTU)](https://www.dtu.dk/english/). This group of maintainers consists of individuals who have significantly contributed to the projects over time and earned the authority to review and accept change requests. This privilege comes with the responsibility to continuously work on the repository and contribute to enhancements, stability, security and more. This worldwide ecosystem involves energy researchers, system operators, regulators, NGOs, and policymakers.
+
+![Open-Source Ecosystem](img/tyndp/open-source-ecosystem.png)
+
+Within this ecosystem, independent organisations can develop their own private repositories using the publicly available Open-TYNDP and PyPSA-Eur codebases. This shared foundation ensures interoperability and creates opportunities for partnership through sharing and co-developing features. By using a soft-fork strategy, each private repository can benefit from the shared research and development environment and voluntarily contribute features. The shared foundation also enables organisations to request support and feature development from other actors.
+
+Each organisation in this open-source ecosystem remains fully independent of the shared foundation, maintaining its own governance structure and decision-making processes regarding its codebase. Organisations are also free to keep parts of their code and sensitive data completely private.
+
+
+## Development status {#development-status}
+
+!!! warning
+    Open-TYNDP is under active development and is not yet feature-complete. The current development status and general [limitations](limitations.md) are important to understand before using the model. Benchmarking against the TYNDP 2024 cycle is complete and the results can be viewed [online](https://open-tydnp.openenergytransition.org). The github repository [issues](https://github.com/open-energy-transition/open-tyndp/issues) collects known topics we are working on (please feel free to help or make suggestions). The fact that this project relies on a soft-fork strategy implies that [upstream issues](https://github.com/PyPSA/PyPSA-Eur/issues) need to be addressed in the PyPSA-Eur repository. This [documentation](https://open-tyndp.readthedocs.io/) also remains work in progress.
+
+### Already implemented features
+
+The back-casting of the 2024 TYNDP cycle involves developing new features based on the published [modelling methodology report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf). Major and already implemented features are summarized below. Please, refer to the [release_notes](release_notes.md) for a more comprehensive list of features and to the relevant [pull requests](https://github.com/open-energy-transition/open-tyndp/pulls?q=is%3Apr+label%3A%22major+feature%22) for extensive documentation of the implementations.
+
+- Introduced a benchmarking framework that assesses Open-TYNDP quality against published TYNDP 2024 data from the report, the market model outputs and the Visualisation Platform (see PRs [#73](https://github.com/open-energy-transition/open-tyndp/pull/73), [#117](https://github.com/open-energy-transition/open-tyndp/pull/117), [#281](https://github.com/open-energy-transition/open-tyndp/pull/281), [#467](https://github.com/open-energy-transition/open-tyndp/pull/467), [#543](https://github.com/open-energy-transition/open-tyndp/pull/543), [#574](https://github.com/open-energy-transition/open-tyndp/pull/574), [#607](https://github.com/open-energy-transition/open-tyndp/pull/607), [#615](https://github.com/open-energy-transition/open-tyndp/pull/615), [#609](https://github.com/open-energy-transition/open-tyndp/pull/609), [#604](https://github.com/open-energy-transition/open-tyndp/pull/604), [#667](https://github.com/open-energy-transition/open-tyndp/pull/667), [#663](https://github.com/open-energy-transition/open-tyndp/pull/663), [#657](https://github.com/open-energy-transition/open-tyndp/pull/657), [#680](https://github.com/open-energy-transition/open-tyndp/pull/680) and [#718](https://github.com/open-energy-transition/open-tyndp/pull/718)).
+- Introduced the electricity and hydrogen reference grids from TYNDP 2024 grid data (see PRs [#18](https://github.com/open-energy-transition/open-tyndp/pull/18), [#17](https://github.com/open-energy-transition/open-tyndp/pull/17), [#340](https://github.com/open-energy-transition/open-tyndp/pull/340), [#475](https://github.com/open-energy-transition/open-tyndp/pull/475), [#489](https://github.com/open-energy-transition/open-tyndp/pull/489), [#496](https://github.com/open-energy-transition/open-tyndp/pull/496), [#527](https://github.com/open-energy-transition/open-tyndp/pull/527), [#537](https://github.com/open-energy-transition/open-tyndp/pull/537), [#611](https://github.com/open-energy-transition/open-tyndp/pull/611)), including hydrogen import potentials and corridors from outside of the modelled countries (see PR [#36](https://github.com/open-energy-transition/open-tyndp/pull/36)).
+- Introduced TYNDP offshore wind hubs topology with both electric and hydrogen infrastructure, offshore electrolysers, and detailed wind farm characteristics (see PR [#54](https://github.com/open-energy-transition/open-tyndp/pull/54), [#654](https://github.com/open-energy-transition/open-tyndp/pull/654) and [#656](https://github.com/open-energy-transition/open-tyndp/pull/656)).
+- Added processing, preparation and attaching of PECD v3.1 renewable profiles and PEMMDB v2.5 hydro inflows to their corresponding components (see PRs [#53](https://github.com/open-energy-transition/open-tyndp/pull/53), [#71](https://github.com/open-energy-transition/open-tyndp/pull/71), [#473](https://github.com/open-energy-transition/open-tyndp/pull/473) for PECD; [#77](https://github.com/open-energy-transition/open-tyndp/pull/77), [#338](https://github.com/open-energy-transition/open-tyndp/pull/338) for PEMMDB hydro inflows).
+- Added processing and preparation of PEMMDB v2.5 capacity, must-run, and availability data, along with expansion trajectories for conventional and renewable power generation, electrolysers, batteries, and DSR (see PR [#97](https://github.com/open-energy-transition/open-tyndp/pull/97)).
+- Added the TYNDP electricity, hydrogen, methane demands as exogenous demands (see PRs [#14](https://github.com/open-energy-transition/open-tyndp/pull/14) for electricity; [#169](https://github.com/open-energy-transition/open-tyndp/pull/169), [#230](https://github.com/open-energy-transition/open-tyndp/pull/230) and [#531](https://github.com/open-energy-transition/open-tyndp/pull/531) for hydrogen; and [#208](https://github.com/open-energy-transition/open-tyndp/pull/208) and [#220](https://github.com/open-energy-transition/open-tyndp/pull/220) for methane).
+- Added option to use the TYNDP H2 topology including the TYNDP H2 reference grid, H2 Z1 and Z2 setup, production, reconversion and storage technologies (see PR [#17](https://github.com/open-energy-transition/open-tyndp/pull/17)).
+- Added TYNDP solar, onwind, hydro, conventional thermal, other RES, other non-RES and DSR generation using PEMMDB capacities, must-runs and availabilities (see PRs [#115](https://github.com/open-energy-transition/open-tyndp/pull/115), [#139](https://github.com/open-energy-transition/open-tyndp/pull/139) and [#564](https://github.com/open-energy-transition/open-tyndp/pull/564) for solar and onwind; [#338](https://github.com/open-energy-transition/open-tyndp/pull/338) for hydro; [#195](https://github.com/open-energy-transition/open-tyndp/pull/195) for conventionals; [#521](https://github.com/open-energy-transition/open-tyndp/pull/521) for Other RES; [#535](https://github.com/open-energy-transition/open-tyndp/pull/535) for Other Non-RES; [#598](https://github.com/open-energy-transition/open-tyndp/pull/598) for DSR), electrolyzer PEMMDB capacities (only for NT scenario) (see PR [#248](https://github.com/open-energy-transition/open-tyndp/pull/248)) and load shedding (see PRs [#494](https://github.com/open-energy-transition/open-tyndp/pull/494), [#505](https://github.com/open-energy-transition/open-tyndp/pull/505) and [#547](https://github.com/open-energy-transition/open-tyndp/pull/547)).
+- Added CO2 emission prices per planning horizon (see PR [#198](https://github.com/open-energy-transition/open-tyndp/pull/198)).
+- Introduced a workflow structure for performing Cost-Benefit Analysis (CBA) using both TOOT (Take One Out at a Time) and PINT (Put In at a Time) methodologies for TYNDP transmission and storage projects on top of the SB results (see PR [#149](https://github.com/open-energy-transition/open-tyndp/pull/149)).
+- Added the PINT and TOOT reference and project network preparation for CBA (see PRs [#199](https://github.com/open-energy-transition/open-tyndp/pull/199), [#211](https://github.com/open-energy-transition/open-tyndp/pull/211), [#353](https://github.com/open-energy-transition/open-tyndp/pull/353), [#426](https://github.com/open-energy-transition/open-tyndp/pull/426)).
+- Added weekly rolling horizon optimization for CBA networks (see PRs [#217](https://github.com/open-energy-transition/open-tyndp/pull/217), [#385](https://github.com/open-energy-transition/open-tyndp/pull/385), [#441](https://github.com/open-energy-transition/open-tyndp/pull/441)).
+- Introduced calculation of B1, B2, B3 and B4 indicator in the CBA (see PRs [#186](https://github.com/open-energy-transition/open-tyndp/pull/186), [#523](https://github.com/open-energy-transition/open-tyndp/pull/523), [#578](https://github.com/open-energy-transition/open-tyndp/pull/578), [#348](https://github.com/open-energy-transition/open-tyndp/pull/348), [#350](https://github.com/open-energy-transition/open-tyndp/pull/350), [#398](https://github.com/open-energy-transition/open-tyndp/pull/398), [#668](https://github.com/open-energy-transition/open-tyndp/pull/668)).
+- Added automated Windows installer with Azure Artifact Signing for easy setup on Windows systems (see PR [#333](https://github.com/open-energy-transition/open-tyndp/pull/333), [#471](https://github.com/open-energy-transition/open-tyndp/pull/471)).
+- Automatically launched PyPSA-Explorer to investigate run results (see PR [#443](https://github.com/open-energy-transition/open-tyndp/pull/443)).
+- Added SMR (grey hydrogen) and SMR + Carbon Capture (blue hydrogen) capacities and assumptions from TYNDP 2024 hydrogen data and enabled H2 load shedding with cost of 3000 EUR/MWh_H2 (see PR [#490](https://github.com/open-energy-transition/open-tyndp/pull/490)).
+- Added H2 cavern and tank storages with existing energy and charge/discharge capacities (see PR [#552](https://github.com/open-energy-transition/open-tyndp/pull/552)).
+- Added PEMMDB common data assumptions from ERAA 2025 for power plant type specific efficiencies and VOM (see PR [#541](https://github.com/open-energy-transition/open-tyndp/pull/541)).
+- Added battery store capacities and assumptions using PEMMDB data (see PR [#253](https://github.com/open-energy-transition/open-tyndp/pull/253/)).
+- Added Open-TYNDP data store option for fully reproducible runs without third-party data providers (see PR [#682](https://github.com/open-energy-transition/open-tyndp/pull/682)). Six datasets currently remain to be retrieved from primary sources due to licensing constraints.
+
+<table style="margin: 0 auto;">
+<thead><tr><th><strong>Feature</strong></th><th><strong>TYNDP 2024 topology</strong></th><th><strong>Open-TYNDP topology</strong></th></tr></thead>
+<tbody>
+<tr><td><strong>Electricity Grid</strong></td><td style="text-align: center;"><img src="img/tyndp/electricity-grid-report.png" height="300" alt="TYNDP 2024 electricity topology"/></td><td style="text-align: center;"><img src="img/tyndp/electricity-grid.png" height="300" alt="Open-TYNDP electricity topology"/></td></tr>
+<tr><td><strong>Hydrogen Grid</strong></td><td style="text-align: center;"><img src="img/tyndp/h2-grid-report.png" height="300" alt="TYNDP 2024 hydrogen topology"/></td><td style="text-align: center;"><img src="img/tyndp/h2-grid.png" height="300" alt="Open-TYNDP hydrogen topology"/></td></tr>
+<tr><td><strong>Offshore Grid</strong></td><td style="text-align: center;"><img src="img/tyndp/offshore-grid-report.png" height="300" alt="TYNDP 2024 offshore topology"/></td><td style="text-align: center;"><img src="img/tyndp/offshore-grid.png" height="300" alt="Open-TYNDP offshore topology"/></td></tr>
+</tbody>
+</table>
+
+
+### Features in development
+
+While multiple TYNDP features are already introduced to the Open-TYNDP model, there are several other features and assumptions that are still in development and currently rely on default implementations and assumptions from PyPSA-Eur.
+
+| **Milestone** | **Feature** | **PR** | **Status** |
+|---|---|---|---|
+| **Visualizations and workflow automation** | Automated workflow | | ✅ |
+| | TYNDP plotting routines | [#443](https://github.com/open-energy-transition/open-tyndp/pull/443), [#669](https://github.com/open-energy-transition/open-tyndp/pull/669) | 🔨 |
+| **Automated tests and benchmarks** | Automated benchmarking routine | [#73](https://github.com/open-energy-transition/open-tyndp/pull/73), [#117](https://github.com/open-energy-transition/open-tyndp/pull/117), [#281](https://github.com/open-energy-transition/open-tyndp/pull/281), [#467](https://github.com/open-energy-transition/open-tyndp/pull/467), [#543](https://github.com/open-energy-transition/open-tyndp/pull/543), [#574](https://github.com/open-energy-transition/open-tyndp/pull/574), [#607](https://github.com/open-energy-transition/open-tyndp/pull/607), [#615](https://github.com/open-energy-transition/open-tyndp/pull/615), [#609](https://github.com/open-energy-transition/open-tyndp/pull/609), [#604](https://github.com/open-energy-transition/open-tyndp/pull/604), [#667](https://github.com/open-energy-transition/open-tyndp/pull/667), [#663](https://github.com/open-energy-transition/open-tyndp/pull/663), [#657](https://github.com/open-energy-transition/open-tyndp/pull/657), [#680](https://github.com/open-energy-transition/open-tyndp/pull/680), [#718](https://github.com/open-energy-transition/open-tyndp/pull/718) | ✅ |
+| **TYNDP modelling features** | Perfect foresight optimization | | ⌛ |
+| | Security of Supply (SoS) loop | | ⌛ |
+| **Existing infrastructure and associated parameters** | Electricity reference grid | [#18](https://github.com/open-energy-transition/open-tyndp/pull/18), [#340](https://github.com/open-energy-transition/open-tyndp/pull/340), [#489](https://github.com/open-energy-transition/open-tyndp/pull/489), [#496](https://github.com/open-energy-transition/open-tyndp/pull/496), [#527](https://github.com/open-energy-transition/open-tyndp/pull/527) | ✅ |
+| | Hydrogen reference grid | [#17](https://github.com/open-energy-transition/open-tyndp/pull/17), [#36](https://github.com/open-energy-transition/open-tyndp/pull/36), [#475](https://github.com/open-energy-transition/open-tyndp/pull/475), [#537](https://github.com/open-energy-transition/open-tyndp/pull/537), [#611](https://github.com/open-energy-transition/open-tyndp/pull/611) | ✅ |
+| | Offshore grid | [#54](https://github.com/open-energy-transition/open-tyndp/pull/54), [#654](https://github.com/open-energy-transition/open-tyndp/pull/654), [#656](https://github.com/open-energy-transition/open-tyndp/pull/656) | ✅ |
+| | PECD data | [#53](https://github.com/open-energy-transition/open-tyndp/pull/53), [#71](https://github.com/open-energy-transition/open-tyndp/pull/71), [#473](https://github.com/open-energy-transition/open-tyndp/pull/473) | ✅ |
+| | Hydro inflows | [#77](https://github.com/open-energy-transition/open-tyndp/pull/77), [#338](https://github.com/open-energy-transition/open-tyndp/pull/338) | ✅ |
+| | PEMMDB capacities & must-runs processing | [#97](https://github.com/open-energy-transition/open-tyndp/pull/97) | ✅ |
+| | Investment candidates trajectories processing | [#97](https://github.com/open-energy-transition/open-tyndp/pull/97) | ✅ |
+| **TYNDP demand** | Electricity | [#14](https://github.com/open-energy-transition/open-tyndp/pull/14) | ✅ |
+| | Hydrogen | [#169](https://github.com/open-energy-transition/open-tyndp/pull/169), [#230](https://github.com/open-energy-transition/open-tyndp/pull/230), [#531](https://github.com/open-energy-transition/open-tyndp/pull/531) | ✅ |
+| | Methane | [#208](https://github.com/open-energy-transition/open-tyndp/pull/208), [#220](https://github.com/open-energy-transition/open-tyndp/pull/220) | 🔨 |
+| | Synthetic fuels | | ⌛ |
+| | District heating | | ⌛ |
+| | Energy imports | | ⌛ |
+| **TYNDP technologies and carriers** | TYNDP generation technologies (incl. SRES and DRES) | [#115](https://github.com/open-energy-transition/open-tyndp/pull/115), [#139](https://github.com/open-energy-transition/open-tyndp/pull/139), [#195](https://github.com/open-energy-transition/open-tyndp/pull/195), [#248](https://github.com/open-energy-transition/open-tyndp/pull/248), [#338](https://github.com/open-energy-transition/open-tyndp/pull/338), [#447](https://github.com/open-energy-transition/open-tyndp/pull/447), [#494](https://github.com/open-energy-transition/open-tyndp/pull/494), [#505](https://github.com/open-energy-transition/open-tyndp/pull/505), [#490](https://github.com/open-energy-transition/open-tyndp/pull/490), [#521](https://github.com/open-energy-transition/open-tyndp/pull/521), [#535](https://github.com/open-energy-transition/open-tyndp/pull/535), [#564](https://github.com/open-energy-transition/open-tyndp/pull/564), [#552](https://github.com/open-energy-transition/open-tyndp/pull/552), [#541](https://github.com/open-energy-transition/open-tyndp/pull/541), [#253](https://github.com/open-energy-transition/open-tyndp/pull/253), [#598](https://github.com/open-energy-transition/open-tyndp/pull/598), [#547](https://github.com/open-energy-transition/open-tyndp/pull/547) | 🔨 |
+| | Prosumer modelling | | ⌛ |
+| | EV modelling | | ⌛ |
+| | Synthetic fuel carriers | | ⌛ |
+| | Hybrid heat pumps | | ⌛ |
+| | Industrial electricity and hydrogen demands | | ⌛ |
+| | Hydrogen zones | [#17](https://github.com/open-energy-transition/open-tyndp/pull/17) | ✅ |
+| **CBA Assessment Framework** | TOOT/PINT methodology | [#149](https://github.com/open-energy-transition/open-tyndp/pull/149), [#199](https://github.com/open-energy-transition/open-tyndp/pull/199), [#211](https://github.com/open-energy-transition/open-tyndp/pull/211), [#217](https://github.com/open-energy-transition/open-tyndp/pull/217), [#353](https://github.com/open-energy-transition/open-tyndp/pull/353), [#385](https://github.com/open-energy-transition/open-tyndp/pull/385), [#426](https://github.com/open-energy-transition/open-tyndp/pull/426) | 🔨 |
+| | Climate years (weighted average) | [#529](https://github.com/open-energy-transition/open-tyndp/pull/529) | 🔨 |
+| | **CBA Benchmarking** | [#405](https://github.com/open-energy-transition/open-tyndp/pull/405) | ✅ |
+| **CBA Benefit Indicators** | B1: Socioeconomic Welfare (SEW) | [#186](https://github.com/open-energy-transition/open-tyndp/pull/186), [#523](https://github.com/open-energy-transition/open-tyndp/pull/523), [#578](https://github.com/open-energy-transition/open-tyndp/pull/578), [#668](https://github.com/open-energy-transition/open-tyndp/pull/668) | ✅ |
+| | B2: CO₂ Variation with societal costs | [#348](https://github.com/open-energy-transition/open-tyndp/pull/348), [#709](https://github.com/open-energy-transition/open-tyndp/pull/709) | ✅ |
+| | B3: DRES Integration (curtailment reduction) | [#350](https://github.com/open-energy-transition/open-tyndp/pull/350) | ✅ |
+| | B4: Non-CO₂ Emissions (NOx, SOx, PM2.5/10, NMVOC, NH₃) | [#398](https://github.com/open-energy-transition/open-tyndp/pull/398), [#709](https://github.com/open-energy-transition/open-tyndp/pull/709) | ✅ |
+| | B5: Grid Losses, B6: Adequacy, B7: Flexibility, B8: Stability, B9: Reserves reduction | n/a | |
+
+!!! note "See also"
+    See also the [GitHub repository issues](https://github.com/open-energy-transition/open-tyndp/issues) for a comprehensive list of currently open issues.
+
+
+## Citing Open-TYNDP
+
+If you want to cite a specific Open-TYNDP version, since v0.6, each release is archived on Zenodo with a release-specific DOI:
+
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19372053.svg)](https://doi.org/10.5281/zenodo.19372053)
+
+
+Versions v0.5 and v0.5.1 are archived at [10.5281/zenodo.18494362](https://doi.org/10.5281/zenodo.18494362).
+
+If you use Open-TYNDP in your research, please cite it as shown on Zenodo or using the "Cite this repository" button in the sidebar of [Open-TYNDP](https://github.com/open-energy-transition/open-tyndp).
+
+This work builds upon [PyPSA-Eur](https://github.com/pypsa/pypsa-eur) and follows the methodology described in [ENTSO-E's and entsog's TYNDP 2024 Scenarios Methodology Report](https://2024.entsos-tyndp-scenarios.eu/scenarios-methodology-report/).
+
+
+## Background on PyPSA-Eur
+
+### Electricity System
+
+The electricity system representation contains alternating current lines at
+and above 220 kV voltage level and all high voltage direct current lines,
+substations, an open database of conventional power plants, time series for
+electrical demand and variable renewable generator availability, geographic
+potentials for the expansion of wind and solar power.
+
+The model is suitable both for operational studies and generation and
+transmission expansion planning studies. The continental scope and highly
+resolved spatial scale enables a proper description of the long-range smoothing
+effects for renewable power generation and their varying resource availability.
+
+![](img/base.png){width=70%}
+
+### Sector-Coupled Energy System
+
+A sector-coupled extension (previously known as **PyPSA-Eur-Sec**, which is now
+deprecated) adds demand and supply for the following sectors: transport, space
+and water heating, biomass, energy consumption in the agriculture, industry and
+industrial feedstocks, carbon management, carbon capture and
+usage/sequestration. This completes the energy system and includes all
+greenhouse gas emitters except waste management, agriculture, forestry and land
+use. The diagram below gives an overview of the sectors and the links between
+them:
+
+![](img/multisector_figure.png){width=70%}
+
+!!! note
+    You can find showcases of the model's capabilities in the Supplementary Materials of the
+    Joule paper [The potential role of a hydrogen network in Europe](https://doi.org/10.1016/j.joule.2023.06.016), the Supplementary Materials of another [paper in Joule with a
+    description of the industry sector](https://doi.org/10.1016/j.joule.2022.04.016), or in [a 2021 presentation
+    at EMP-E](https://nworbmot.org/energy/brown-empe.pdf).
+    The sector-coupled extension of PyPSA-Eur was
+    initially described in the paper [Synergies of sector coupling and transmission
+    reinforcement in a cost-optimised, highly renewable European energy system](https://arxiv.org/abs/1801.05290) (2018) but it differs by being based on the
+    higher resolution electricity transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) rather than a one-node-per-country model,
+    and by including biomass, industry, industrial feedstocks, aviation, shipping,
+    better carbon management, carbon capture and usage/sequestration, and gas
+    networks.
+
+### About
+
+PyPSA-Eur is designed to be imported into the open energy system modelling
+framework [PyPSA](https://www.pypsa.org) for which [documentation](https://pypsa.readthedocs.io) is available as well. However, since the
+workflow is modular, it should be easy to adapt the data workflow to other
+modelling frameworks.
+
+The restriction to freely available and open data encourages the open exchange
+of model data developments and eases the comparison of model results. It
+provides a full, automated software pipeline to assemble the load-flow-ready
+model from the original datasets, which enables easy replacement and improvement
+of the individual parts.
+
+!!! warning
+    PyPSA-Eur is under active development and has several
+    [limitations](limitations.md) which
+    you should understand before using the model. The Github repository
+    [issues](https://github.com/PyPSA/pypsa-eur/issues) collect known
+    topics we are working on. Please feel free to help or make suggestions.
+
+This project is currently maintained by the [Department of Digital
+Transformation in Energy Systems](https://www.tu.berlin/en/ensys) at the
+[Technische Universität Berlin](https://www.tu.berlin). Previous versions were
+developed within the [IAI](http://www.iai.kit.edu) at the [Karlsruhe Institute
+of Technology (KIT)](http://www.kit.edu/english/index.php) which was funded by
+the [Helmholtz Association](https://www.helmholtz.de/en/), and by the
+[Renewable Energy Group](https://fias.uni-frankfurt.de/physics/schramm/renewable-energy-system-and-network-analysis/)
+at [FIAS](https://fias.uni-frankfurt.de/) to carry out simulations for the
+[CoNDyNet project](http://condynet.de/), financed by the [German Federal
+Ministry for Education and Research (BMBF)](https://www.bmbf.de/en/index.html)
+as part of the [Stromnetze Research Initiative](http://forschung-stromnetze.info/projekte/grundlagen-und-konzepte-fuer-effiziente-dezentrale-stromnetze/).
+
+### Workflow
+
+[![Workflow](img/workflow.svg)](img/workflow.svg)
+
+!!! note
+    The graph above was generated using
+    `pixi run snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/workflow.svg`
+
+### Learning Energy System Modelling
+
+If you are (relatively) new to energy system modelling and optimisation and plan
+to use PyPSA-Eur, the following resources are one way to get started in addition
+to reading this documentation.
+
+- Documentation of [PyPSA](https://pypsa.readthedocs.io), the package for
+  modelling energy systems which PyPSA-Eur uses under the hood.
+- Course on [Energy Systems](https://nworbmot.org/courses/es-22/) given at
+  Technical University of Berlin by [Prof. Dr. Tom Brown](https://nworbmot.org).
+- Course on [Data Science for Energy System Modelling](https://fneum.github.io/data-science-for-esm/intro.html)
+  given at Technical University of Berlin by [Dr. Fabian Neumann](https://neumann.fyi).
+
+### Citing PyPSA-Eur
+
+If you use PyPSA-Eur for your research, we would appreciate it if you would cite one of the following papers:
+
+For electricity-only studies:
+
+```bibtex
+@article{PyPSAEur,
+    author = "Jonas Hoersch and Fabian Hofmann and David Schlachtberger and Tom Brown",
+    title = "PyPSA-Eur: An open optimisation model of the European transmission system",
+    journal = "Energy Strategy Reviews",
+    volume = "22",
+    pages = "207--215",
+    year = "2018",
+    doi = "10.1016/j.esr.2018.08.012",
+    eprint = "1806.01613"
+}
+```
+
+For sector-coupling studies:
+
+```bibtex
+@misc{PyPSAEurSec,
+    author = "Fabian Neumann and Elisabeth Zeyen and Marta Victoria and Tom Brown",
+    title = "The potential role of a hydrogen network in Europe",
+    journal = "Joule",
+    volume = "7",
+    pages = "1--25",
+    year = "2023",
+    eprint = "2207.05816",
+    doi = "10.1016/j.joule.2023.06.016",
+}
+```
+
+For sector-coupling studies with pathway optimisation:
+
+```bibtex
+@article{SpeedTechnological2022,
+    title = "Speed of technological transformations required in {Europe} to achieve different climate goals",
+    author = "Marta Victoria and Elisabeth Zeyen and Tom Brown",
+    journal = "Joule",
+    volume = "6",
+    number = "5",
+    pages = "1066--1086",
+    year = "2022",
+    doi = "10.1016/j.joule.2022.04.016",
+    eprint = "2109.09563",
+}
+```
+
+If you want to cite a specific PyPSA-Eur version, each release of PyPSA-Eur is stored on Zenodo with a release-specific DOI:
+
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg)](https://doi.org/10.5281/zenodo.3520874)
+
+### Operating Systems
+
+The PyPSA-Eur workflow is continuously tested for Linux, macOS and Windows (WSL only).
+
diff --git a/doc/index.rst b/doc/index.rst
deleted file mode 100644
index 253cf1a5a0..0000000000
--- a/doc/index.rst
+++ /dev/null
@@ -1,602 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-#############################################################################################################
-Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP
-#############################################################################################################
-
-.. image:: https://img.shields.io/github/v/release/open-energy-transition/open-tyndp?include_prereleases
-    :alt: GitHub release (latest by date including pre-releases)
-
-.. image:: https://img.shields.io/github/commits-difference/open-energy-transition/open-tyndp?base=master&head=PyPSA:pypsa-eur:master&label=commits%20behind%20PyPSA-Eur
-    :alt: commits behind PyPSA-Eur
-
-.. image:: https://github.com/open-energy-transition/open-tyndp/actions/workflows/test.yaml/badge.svg
-    :target: https://github.com/open-energy-transition/open-tyndp/actions
-
-.. image:: https://readthedocs.org/projects/pypsa-eur/badge/?version=latest
-    :target: https://pypsa-eur.readthedocs.io/en/latest/?badge=latest
-    :alt: Documentation
-
-.. image:: https://img.shields.io/github/repo-size/open-energy-transition/open-tyndp
-    :alt: GitHub repo size
-
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19372053.svg
-    :target: https://doi.org/10.5281/zenodo.19372053
-
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg
-    :target: https://doi.org/10.5281/zenodo.3520874
-
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3938042.svg
-    :target: https://doi.org/10.5281/zenodo.3938042
-
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.14230568.svg
-    :target: https://doi.org/10.5281/zenodo.14230568
-
-.. image:: https://img.shields.io/badge/snakemake-≥7.19-brightgreen.svg?style=flat
-    :target: https://snakemake.readthedocs.io
-    :alt: Snakemake
-
-.. image:: https://img.shields.io/discord/911692131440148490?logo=discord
-    :target: https://discord.gg/AnuJBk23FU
-    :alt: Discord
-
-.. image:: https://api.reuse.software/badge/github.com/open-energy-transition/open-tyndp
-    :target: https://api.reuse.software/info/github.com/open-energy-transition/open-tyndp
-    :alt: REUSE
-
-
-|
-
-.. warning::
-    Open-TYNDP is under active development and is not yet feature-complete. The current `development status <https://open-tyndp.readthedocs.io/en/latest/index.html#development-status>`__ and the general `Limitations <https://open-tyndp.readthedocs.io/en/latest/limitations.html>`__ are important to understand before using the model.
-
-
-This repository introduces the open-source model of the Open-TYNDP research and innovation project, which is a collaboration between `Open Energy Transition (OET) <https://openenergytransition.org/>`__ and the European Network of Transmission System Operators for Electricity (ENTSO-E).
-The project’s aim is to explore the capabilities of an open-source tool to replicate the Ten-Year Network Development Plan (TYNDP) 2024 by building a workflow based on `PyPSA-Eur <https://github.com/pypsa/pypsa-eur>`__.
-It seeks to complement the tools currently used in the TYNDP cycles, especially for Scenario Building (SB) and Cost-Benefit Analysis (CBA). This approach is designed to enhance transparency and lower barriers to stakeholder participation in European energy planning. Beyond Europe, the project aspires to demonstrate the viability of open-source (OS) frameworks in energy planning, encouraging broader global adoption.
-
-To build trust in and ensure reproducibility with the new open-source toolchain, the project first focuses on replicating key figures from the 2024 TYNDP cycle. This process involves developing new features within the open-source domain to address existing gaps, integrating tools for data interoperability and dynamic visualizations, and publishing best practices to encourage the adoption of open energy models. Additionally, the project emphasizes stakeholder consultations and `interactive workshops <https://open-energy-transition.github.io/open-tyndp-workshops/intro.html>`__ alongside the development of the open-source tool, further promoting collaboration and transparency throughout the process.
-
-First outcomes for the TYNDP 2024 NT scenario are presented `here <https://open-tyndp.openenergytransition.org/>`_, while preliminary outcomes and outputs for every release can be found on `Zenodo <https://zenodo.org/records/19388086>`_.
-
-This repository is a soft-fork of `OET/PyPSA-Eur <https://github.com/open-energy-transition/pypsa-eur>`__ and contains the entire project `Open-TYNDP` supported by OET, including code and documentation. The philosophy behind this repository is that no intermediary results are included, but all results are computed from raw data and code.
-
-Beyond Europe, the project aspires to demonstrate the viability of open-source (OS) frameworks in energy planning, encouraging broader global adoption. To build trust and ensure reproducibility, the project focuses on replicating key figures from the 2024 TYNDP cycle before aligning with current and future TYNDP cycles.
-
-Why Open-TYNDP?
-==============
-
-- **Transparency** — Not only assumptions and inputs are visible and auditable, but the models themselves are fully open.
-- **Reproducibility** — Any stakeholder is able to re-run the TYNDP 2024 National Trends scenario independently.
-- **Additional Resource** — Facilitates broader expert contribution and peer review.
-- **Automated Workflow** — The entire modelling process runs automatically from raw inputs to final outputs via `Snakemake <https://snakemake.readthedocs.io/>`__ and `pixi <https://pixi.prefix.dev/>`__.
-
-What Can You Do Now?
-====================
-
-- **Independently reproduce** and examine the official TYNDP 2024 National Trends scenario.
-- **Test custom scenarios** (e.g., alternative demand or RES assumptions) without starting from scratch.
-- **Directly compare** open-source model results with ENTSO-E outputs in a transparent framework.
-- **Collaborate** more easily across organizations using a shared, community-maintained codebase.
-- **Scale globally** — Use the framework for regional data beyond Europe for transmission planning.
-
-Who Benefits from This?
-=======================
-
-- **TSO planners** — Faster iteration on grid investment scenarios and easier sensitivity analysis.
-- **ENTSO-E leadership** — Credible, independent benchmarking builds process legitimacy.
-- **Researchers & policymakers** — Full access to a pan-European model calibrated to official TYNDP 2024 data.
-- **Grid planners beyond Europe** — A reusable framework for regional energy planning.
-
-Open-Source ecosystem
-==================
-
-The Open-TYNDP repository builds on the open-source ecosystem of `PyPSA <https://github.com/pypsa/pypsa>`__ and `PyPSA-Eur <https://github.com/pypsa/pypsa-eur>`__ which are developed and maintained by several organizations, including `Open Energy Transition (OET) <https://openenergytransition.org/>`__, `Technische Universität Berlin (TUB) <https://www.tu.berlin/en/ensys/>`__, `Fraunhofer <https://www.fraunhofer.de/>`__, `Ostbayerische Technische Hochschule (OTH) <https://www.oth-regensburg.de/en/>`__, `Universita di Pisa (UNIPI) <https://www.unipi.it/en/>`__ and `Danmarks Tekniske Universitet (DTU) <https://www.dtu.dk/english/>`__. This group of maintainers consists of individuals who have significantly contributed to the projects over time and earned the authority to review and accept change requests. This privilege comes with the responsibility to continuously work on the repository and contribute to enhancements, stability, security and more. This worldwide ecosystem involves energy researchers, system operators, regulators, NGOs, and policymakers.
-
-.. image:: img/tyndp/open-source-ecosystem.png
-    :align: center
-    :alt: Open-Source Ecosystem
-
-Within this ecosystem, independent organisations can develop their own private repositories using the publicly available Open-TYNDP and PyPSA-Eur codebases. This shared foundation ensures interoperability and creates opportunities for partnership through sharing and co-developing features. By using a soft-fork strategy, each private repository can benefit from the shared research and development environment and voluntarily contribute features. The shared foundation also enables organisations to request support and feature development from other actors.
-
-Each organisation in this open-source ecosystem remains fully independent of the shared foundation, maintaining its own governance structure and decision-making processes regarding its codebase. Organisations are also free to keep parts of their code and sensitive data completely private.
-
-|
-
-.. _development-status:
-
-Development status
-==================
-
-.. warning::
-    Open-TYNDP is under active development and is not yet feature-complete. The current development status and general :doc:`limitations` are important to understand before using the model. The model includes partial data from the TYNDP 2024 cycle, and its benchmarking is ongoing. The github repository `issues <https://github.com/open-energy-transition/open-tyndp/issues>`__ collects known topics we are working on (please feel free to help or make suggestions). The fact that this project relies on a soft-fork strategy implies that `upstream issues <https://github.com/PyPSA/PyPSA-Eur/issues>`__ need to be addressed in the PyPSA-Eur repository. This `documentation <https://open-tyndp.readthedocs.io/>`__ also remains work in progress.
-
-Already implemented features
--------------------------------
-
-The back-casting of the 2024 TYNDP cycle involves developing new features based on the published `modelling methodology report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf>`__. Major and already implemented features are summarized below. Please, refer to the :doc:`release_notes` for a more comprehensive list of features and to the relevant `pull requests <https://github.com/open-energy-transition/open-tyndp/pulls?q=is%3Apr+label%3A%22major+feature%22>`__ for extensive documentation of the implementations.
-
-- Introduced a benchmarking framework that assesses Open-TYNDP quality against published TYNDP 2024 data from the report, the market model outputs and the Visualisation Platform (see PRs `#73 <https://github.com/open-energy-transition/open-tyndp/pull/73>`__, `#117 <https://github.com/open-energy-transition/open-tyndp/pull/117>`__, `#281 <https://github.com/open-energy-transition/open-tyndp/pull/281>`__, `#467 <https://github.com/open-energy-transition/open-tyndp/pull/467>`__, `#543 <https://github.com/open-energy-transition/open-tyndp/pull/543>`__, `#574 <https://github.com/open-energy-transition/open-tyndp/pull/574>`__, `#607 <https://github.com/open-energy-transition/open-tyndp/pull/607>`__, `#615 <https://github.com/open-energy-transition/open-tyndp/pull/615>`__, `#609 <https://github.com/open-energy-transition/open-tyndp/pull/609>`__, `#604 <https://github.com/open-energy-transition/open-tyndp/pull/604>`__, `#667 <https://github.com/open-energy-transition/open-tyndp/pull/667>`__, `#663 <https://github.com/open-energy-transition/open-tyndp/pull/663>`__, `#657 <https://github.com/open-energy-transition/open-tyndp/pull/657>`__, `#680 <https://github.com/open-energy-transition/open-tyndp/pull/680>`__ and `#718 <https://github.com/open-energy-transition/open-tyndp/pull/718>`__).
-- Introduced the electricity and hydrogen reference grids from TYNDP 2024 grid data (see PRs `#18 <https://github.com/open-energy-transition/open-tyndp/pull/18>`__, `#17 <https://github.com/open-energy-transition/open-tyndp/pull/17>`__, `#340 <https://github.com/open-energy-transition/open-tyndp/pull/340>`__, `#475 <https://github.com/open-energy-transition/open-tyndp/pull/475>`__, `#489 <https://github.com/open-energy-transition/open-tyndp/pull/489>`__, `#496 <https://github.com/open-energy-transition/open-tyndp/pull/496>`__, `#527 <https://github.com/open-energy-transition/open-tyndp/pull/527>`__, `#537 <https://github.com/open-energy-transition/open-tyndp/pull/537>`__, `#611 <https://github.com/open-energy-transition/open-tyndp/pull/611>`__), including hydrogen import potentials and corridors from outside of the modelled countries (see PR `#36 <https://github.com/open-energy-transition/open-tyndp/pull/36>`__).
-- Introduced TYNDP offshore wind hubs topology with both electric and hydrogen infrastructure, offshore electrolysers, and detailed wind farm characteristics (see PR `#54 <https://github.com/open-energy-transition/open-tyndp/pull/54>`__, `#654 <https://github.com/open-energy-transition/open-tyndp/pull/654>`__ and `#656 <https://github.com/open-energy-transition/open-tyndp/pull/656>`__).
-- Added processing, preparation and attaching of PECD v3.1 renewable profiles and PEMMDB v2.5 hydro inflows to their corresponding components (see PRs `#53 <https://github.com/open-energy-transition/open-tyndp/pull/53>`__, `#71 <https://github.com/open-energy-transition/open-tyndp/pull/71>`__, `#473 <https://github.com/open-energy-transition/open-tyndp/pull/473>`__ for PECD; `#77 <https://github.com/open-energy-transition/open-tyndp/pull/77>`__, `#338 <https://github.com/open-energy-transition/open-tyndp/pull/338>`__ for PEMMDB hydro inflows).
-- Added processing and preparation of PEMMDB v2.5 capacity, must-run, and availability data, along with expansion trajectories for conventional and renewable power generation, electrolysers, batteries, and DSR (see PR `#97 <https://github.com/open-energy-transition/open-tyndp/pull/97>`__).
-- Added the TYNDP electricity, hydrogen, methane demands as exogenous demands (see PRs `#14 <https://github.com/open-energy-transition/open-tyndp/pull/14>`__ for electricity; `#169 <https://github.com/open-energy-transition/open-tyndp/pull/169>`__, `#230 <https://github.com/open-energy-transition/open-tyndp/pull/230>`__ and `#531 <https://github.com/open-energy-transition/open-tyndp/pull/531>`__ for hydrogen; and `#208 <https://github.com/open-energy-transition/open-tyndp/pull/208>`__ and `#220 <https://github.com/open-energy-transition/open-tyndp/pull/220>`__ for methane).
-- Added option to use the TYNDP H2 topology including the TYNDP H2 reference grid, H2 Z1 and Z2 setup, production, reconversion and storage technologies (see PR `#17 <https://github.com/open-energy-transition/open-tyndp/pull/17>`__).
-- Added TYNDP solar, onwind, hydro, conventional thermal, other RES, other non-RES and DSR generation using PEMMDB capacities, must-runs and availabilities (see PRs `#115 <https://github.com/open-energy-transition/open-tyndp/pull/115>`__, `#139 <https://github.com/open-energy-transition/open-tyndp/pull/139>`__ and `#564 <https://github.com/open-energy-transition/open-tyndp/pull/564>`__ for solar and onwind; `#338 <https://github.com/open-energy-transition/open-tyndp/pull/338>`__ for hydro; `#195 <https://github.com/open-energy-transition/open-tyndp/pull/195>`__ for conventionals; `#521 <https://github.com/open-energy-transition/open-tyndp/pull/521>`__ for Other RES; `#535 <https://github.com/open-energy-transition/open-tyndp/pull/535>`__ for Other Non-RES; `#598 <https://github.com/open-energy-transition/open-tyndp/pull/598>`__ for DSR), electrolyzer PEMMDB capacities (only for NT scenario) (see PR `#248 <https://github.com/open-energy-transition/open-tyndp/pull/248>`__) and load shedding (see PRs `#494 <https://github.com/open-energy-transition/open-tyndp/pull/494>`__, `#505 <https://github.com/open-energy-transition/open-tyndp/pull/505>`__ and `#547 <https://github.com/open-energy-transition/open-tyndp/pull/547>`__).
-- Added CO2 emission prices per planning horizon (see PR `#198 <https://github.com/open-energy-transition/open-tyndp/pull/198>`__).
-- Introduced a workflow structure for performing Cost-Benefit Analysis (CBA) using both TOOT (Take One Out at a Time) and PINT (Put In at a Time) methodologies for TYNDP transmission and storage projects on top of the SB results (see PR `#149 <https://github.com/open-energy-transition/open-tyndp/pull/149>`__).
-- Added the PINT and TOOT reference and project network preparation for CBA (see PRs `#199 <https://github.com/open-energy-transition/open-tyndp/pull/199>`__, `#211 <https://github.com/open-energy-transition/open-tyndp/pull/211>`__, `#353 <https://github.com/open-energy-transition/open-tyndp/pull/353>`__, `#426 <https://github.com/open-energy-transition/open-tyndp/pull/426>`__).
-- Added weekly rolling horizon optimization for CBA networks (see PRs `#217 <https://github.com/open-energy-transition/open-tyndp/pull/217>`__, `#385 <https://github.com/open-energy-transition/open-tyndp/pull/385>`__, `#441 <https://github.com/open-energy-transition/open-tyndp/pull/441>`__).
-- Introduced calculation of B1, B2, B3 and B4 indicator in the CBA (see PRs `#186 <https://github.com/open-energy-transition/open-tyndp/pull/186>`__, `#523 <https://github.com/open-energy-transition/open-tyndp/pull/523>`__, `#578 <https://github.com/open-energy-transition/open-tyndp/pull/578>`__, `#348 <https://github.com/open-energy-transition/open-tyndp/pull/348>`__, `#350 <https://github.com/open-energy-transition/open-tyndp/pull/350>`__, `#398 <https://github.com/open-energy-transition/open-tyndp/pull/398>`__, `#668 <https://github.com/open-energy-transition/open-tyndp/pull/668>`__).
-- Added automated Windows installer with Azure Artifact Signing for easy setup on Windows systems (see PR `#333 <https://github.com/open-energy-transition/open-tyndp/pull/333>`__, `#471 <https://github.com/open-energy-transition/open-tyndp/pull/471>`__).
-- Automatically launched PyPSA-Explorer to investigate run results (see PR `#443 <https://github.com/open-energy-transition/open-tyndp/pull/443>`__).
-- Added SMR (grey hydrogen) and SMR + Carbon Capture (blue hydrogen) capacities and assumptions from TYNDP 2024 hydrogen data and enabled H2 load shedding with cost of 3000 EUR/MWh_H2 (see PR `#490 <https://github.com/open-energy-transition/open-tyndp/pull/490>`__)
-- Added H2 cavern and tank storages with existing energy and charge/discharge capacities (see PR `#552 <https://github.com/open-energy-transition/open-tyndp/pull/552>`__).
-- Added PEMMDB common data assumptions from ERAA 2025 for power plant type specific efficiencies and VOM (see PR `#541 <https://github.com/open-energy-transition/open-tyndp/pull/541>`__).
-- Added battery store capacities and assumptions using PEMMDB data (see PR `#253 <https://github.com/open-energy-transition/open-tyndp/pull/253/>`__).
-- Added Open-TYNDP data store option for fully reproducible runs without third-party data providers (see PR `#682 <https://github.com/open-energy-transition/open-tyndp/pull/682>`__). Six datasets currently remain to be retrieved from primary sources due to licensing constraints.
-
-
-.. list-table::
-   :align: center
-   :widths: 20 40 40
-   :header-rows: 1
-
-   * - **Feature**
-     - **TYNDP 2024 topology**
-     - **Open-TYNDP topology**
-   * - **Electricity Grid**
-     - .. image:: img/tyndp/electricity-grid-report.png
-          :height: 300px
-          :align: center
-          :alt: TYNDP 2024 electricity topology
-     - .. image:: img/tyndp/electricity-grid.png
-          :height: 300px
-          :align: center
-          :alt: Open-TYNDP electricity topology
-   * - **Hydrogen Grid**
-     - .. image:: img/tyndp/h2-grid-report.png
-          :height: 300px
-          :align: center
-          :alt: TYNDP 2024 hydrogen topology
-     - .. image:: img/tyndp/h2-grid.png
-          :height: 300px
-          :align: center
-          :alt: Open-TYNDP hydrogen topology
-   * - **Offshore Grid**
-     - .. image:: img/tyndp/offshore-grid-report.png
-          :height: 300px
-          :align: center
-          :alt: TYNDP 2024 offshore topology
-     - .. image:: img/tyndp/offshore-grid.png
-          :height: 300px
-          :align: center
-          :alt: Open-TYNDP offshore topology
-|
-
-Features in development
---------------------------
-
-While multiple TYNDP features are already introduced to the Open-TYNDP model, there are several other features and assumptions that are still in development and currently rely on default implementations and assumptions from PyPSA-Eur.
-
-.. list-table::
-   :align: center
-   :widths: 35 35 20 10
-   :header-rows: 1
-
-   * - **Milestone**
-     - **Feature**
-     - **PR**
-     - **Status**
-   * - **Visualizations and workflow automation**
-     - Automated workflow
-     -
-     - ✅
-   * -
-     - TYNDP plotting routines
-     - `#443 <https://github.com/open-energy-transition/open-tyndp/pull/443>`__, `#669 <https://github.com/open-energy-transition/open-tyndp/pull/669>`__
-     - 🔨
-   * - **Automated tests and benchmarks**
-     - Automated benchmarking routine
-     - `#73 <https://github.com/open-energy-transition/open-tyndp/pull/73>`__, `#117 <https://github.com/open-energy-transition/open-tyndp/pull/117>`__, `#281 <https://github.com/open-energy-transition/open-tyndp/pull/281>`__, `#467 <https://github.com/open-energy-transition/open-tyndp/pull/467>`__, `#543 <https://github.com/open-energy-transition/open-tyndp/pull/543>`__, `#574 <https://github.com/open-energy-transition/open-tyndp/pull/574>`__, `#607 <https://github.com/open-energy-transition/open-tyndp/pull/607>`__, `#615 <https://github.com/open-energy-transition/open-tyndp/pull/615>`__, `#609 <https://github.com/open-energy-transition/open-tyndp/pull/609>`__, `#604 <https://github.com/open-energy-transition/open-tyndp/pull/604>`__, `#667 <https://github.com/open-energy-transition/open-tyndp/pull/667>`__, `#663 <https://github.com/open-energy-transition/open-tyndp/pull/663>`__, `#657 <https://github.com/open-energy-transition/open-tyndp/pull/657>`__, `#680 <https://github.com/open-energy-transition/open-tyndp/pull/680>`, `#718 <https://github.com/open-energy-transition/open-tyndp/pull/718>`__
-     - ✅
-   * - **TYNDP modelling features**
-     - Perfect foresight optimization
-     -
-     - ⌛
-   * -
-     - Security of Supply (SoS) loop
-     -
-     - ⌛
-   * - **Existing infrastructure and associated parameters**
-     - Electricity reference grid
-     - `#18 <https://github.com/open-energy-transition/open-tyndp/pull/18>`__, `#340 <https://github.com/open-energy-transition/open-tyndp/pull/340>`__, `#489 <https://github.com/open-energy-transition/open-tyndp/pull/489>`__, `#496 <https://github.com/open-energy-transition/open-tyndp/pull/496>`__, `#527 <https://github.com/open-energy-transition/open-tyndp/pull/527>`__
-     - ✅
-   * -
-     - Hydrogen reference grid
-     - `#17 <https://github.com/open-energy-transition/open-tyndp/pull/17>`__, `#36 <https://github.com/open-energy-transition/open-tyndp/pull/36>`__, `#475 <https://github.com/open-energy-transition/open-tyndp/pull/475>`__, `#537 <https://github.com/open-energy-transition/open-tyndp/pull/537>`__, `#611 <https://github.com/open-energy-transition/open-tyndp/pull/611>`__
-     - ✅
-   * -
-     - Offshore grid
-     - `#54 <https://github.com/open-energy-transition/open-tyndp/pull/54>`__, `#654 <https://github.com/open-energy-transition/open-tyndp/pull/654>`__, `#656 <https://github.com/open-energy-transition/open-tyndp/pull/656>`__
-     - ✅
-   * -
-     - PECD data
-     - `#53 <https://github.com/open-energy-transition/open-tyndp/pull/53>`__, `#71 <https://github.com/open-energy-transition/open-tyndp/pull/71>`__, `#473 <https://github.com/open-energy-transition/open-tyndp/pull/473>`__
-     - ✅
-   * -
-     - Hydro inflows
-     - `#77 <https://github.com/open-energy-transition/open-tyndp/pull/77>`__, `#338 <https://github.com/open-energy-transition/open-tyndp/pull/338>`__
-     - ✅
-   * -
-     - PEMMDB capacities & must-runs processing
-     - `#97 <https://github.com/open-energy-transition/open-tyndp/pull/97>`__
-     - ✅
-   * -
-     - Investment candidates trajectories processing
-     - `#97 <https://github.com/open-energy-transition/open-tyndp/pull/97>`__
-     - ✅
-   * - **TYNDP demand**
-     - Electricity
-     - `#14 <https://github.com/open-energy-transition/open-tyndp/pull/14>`__
-     - ✅
-   * -
-     - Hydrogen
-     - `#169 <https://github.com/open-energy-transition/open-tyndp/pull/169>`__, `#230 <https://github.com/open-energy-transition/open-tyndp/pull/230>`__, `#531 <https://github.com/open-energy-transition/open-tyndp/pull/531>`__
-     - ✅
-   * -
-     - Methane
-     - `#208 <https://github.com/open-energy-transition/open-tyndp/pull/208>`__, `#220 <https://github.com/open-energy-transition/open-tyndp/pull/220>`__
-     - 🔨
-   * -
-     - Synthetic fuels
-     -
-     - ⌛
-   * -
-     - District heating
-     -
-     - ⌛
-   * -
-     - Energy imports
-     -
-     - ⌛
-   * - **TYNDP technologies and carriers**
-     - TYNDP generation technologies (incl. SRES and DRES)
-     - `#115 <https://github.com/open-energy-transition/open-tyndp/pull/115>`__, `#139 <https://github.com/open-energy-transition/open-tyndp/pull/139>`__, `#195 <https://github.com/open-energy-transition/open-tyndp/pull/195>`__, `#248 <https://github.com/open-energy-transition/open-tyndp/pull/248>`__, `#338 <https://github.com/open-energy-transition/open-tyndp/pull/338>`__, `#447 <https://github.com/open-energy-transition/open-tyndp/pull/447>`__, `#494 <https://github.com/open-energy-transition/open-tyndp/pull/494>`__, `#505 <https://github.com/open-energy-transition/open-tyndp/pull/505>`__, `#490 <https://github.com/open-energy-transition/open-tyndp/pull/490>`__, `#521 <https://github.com/open-energy-transition/open-tyndp/pull/521>`__, `#535 <https://github.com/open-energy-transition/open-tyndp/pull/535>`__, `#564 <https://github.com/open-energy-transition/open-tyndp/pull/564>`__, `#552 <https://github.com/open-energy-transition/open-tyndp/pull/552>`__, `#541 <https://github.com/open-energy-transition/open-tyndp/pull/541>`__, `#253 <https://github.com/open-energy-transition/open-tyndp/pull/253>`__, `#598 <https://github.com/open-energy-transition/open-tyndp/pull/598>`__, `#547 <https://github.com/open-energy-transition/open-tyndp/pull/547>`__
-     - 🔨
-   * -
-     - Prosumer modelling
-     -
-     - ⌛
-   * -
-     - EV modelling
-     -
-     - ⌛
-   * -
-     - Synthetic fuel carriers
-     -
-     - ⌛
-   * -
-     - Hybrid heat pumps
-     -
-     - ⌛
-   * -
-     - Industrial electricity and hydrogen demands
-     -
-     - ⌛
-   * -
-     - Hydrogen zones
-     - `#17 <https://github.com/open-energy-transition/open-tyndp/pull/17>`__
-     - ✅
-   * - **CBA Assessment Framework**
-     - TOOT/PINT methodology
-     - `#149 <https://github.com/open-energy-transition/open-tyndp/pull/149>`__, `#199 <https://github.com/open-energy-transition/open-tyndp/pull/199>`__, `#211 <https://github.com/open-energy-transition/open-tyndp/pull/211>`__, `#217 <https://github.com/open-energy-transition/open-tyndp/pull/217>`__, `#353 <https://github.com/open-energy-transition/open-tyndp/pull/353>`__, `#385 <https://github.com/open-energy-transition/open-tyndp/pull/385>`__, `#426 <https://github.com/open-energy-transition/open-tyndp/pull/426>`__
-     - 🔨
-   * -
-     - Climate years (weighted average)
-     - `#529 <https://github.com/open-energy-transition/open-tyndp/pull/529>`__
-     - 🔨
-   * -
-     - **CBA Benchmarking**
-     - `#405 <https://github.com/open-energy-transition/open-tyndp/pull/405>`__
-     - ✅
-   * - **CBA Benefit Indicators**
-     - B1: Socioeconomic Welfare (SEW)
-     - `#186 <https://github.com/open-energy-transition/open-tyndp/pull/186>`__, `#523 <https://github.com/open-energy-transition/open-tyndp/pull/523>`__, `#578 <https://github.com/open-energy-transition/open-tyndp/pull/578>`__, `#668 <https://github.com/open-energy-transition/open-tyndp/pull/668>`__
-     - ✅
-   * -
-     - B2: CO₂ Variation with societal costs
-     - `#348 <https://github.com/open-energy-transition/open-tyndp/pull/348>`__, `#709 <https://github.com/open-energy-transition/open-tyndp/pull/709>`__
-     - ✅
-   * -
-     - B3: DRES Integration (curtailment reduction)
-     - `#350 <https://github.com/open-energy-transition/open-tyndp/pull/350>`__
-     - ✅
-   * -
-     - B4: Non-CO₂ Emissions (NOx, SOx, PM2.5/10, NMVOC, NH₃)
-     - `#398 <https://github.com/open-energy-transition/open-tyndp/pull/398>`__, `#709 <https://github.com/open-energy-transition/open-tyndp/pull/709>`__
-     - ✅
-   * -
-     - B5: Grid Losses, B6: Adequacy, B7: Flexibility, B8: Stability, B9: Reserves reduction
-     - n/a
-     - 
-
-.. seealso::
-  See also the `GitHub repository issues <https://github.com/open-energy-transition/open-tyndp/issues>`__ for a comprehensive list of currently open issues.
-
-|
-
-Citing Open-TYNDP
-==================
-
-If you want to cite a specific Open-TYNDP version, since v0.6, each release is archived on Zenodo with a release-specific DOI:
-
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19372053.svg
-   :target: https://doi.org/10.5281/zenodo.19372053
-   :alt: DOI
-   :align: left
-
-|
-
-Versions v0.5 and v0.5.1 are archived at `10.5281/zenodo.18494362 <https://doi.org/10.5281/zenodo.18494362>`__.
-
-If you use Open-TYNDP in your research, please cite it as shown on Zenodo or using the "Cite this repository" button in the sidebar of `Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>`__.
-
-This work builds upon `PyPSA-Eur <https://github.com/pypsa/pypsa-eur>`__ and follows the methodology described in `ENTSO-E's and entsog's TYNDP 2024 Scenarios Methodology Report <https://2024.entsos-tyndp-scenarios.eu/scenarios-methodology-report/>`__.
-
-|
-
-Background on PyPSA-Eur
-==================
-
-Electricity System
-------------------
-
-The electricity system representation contains alternating current lines at
-and above 220 kV voltage level and all high voltage direct current lines,
-substations, an open database of conventional power plants, time series for
-electrical demand and variable renewable generator availability, geographic
-potentials for the expansion of wind and solar power.
-
-The model is suitable both for operational studies and generation and
-transmission expansion planning studies. The continental scope and highly
-resolved spatial scale enables a proper description of the long-range smoothing
-effects for renewable power generation and their varying resource availability.
-
-.. image:: img/base.png
-    :width: 70%
-    :align: center
-
-|
-
-Sector-Coupled Energy System
-----------------------------
-
-A sector-coupled extension (previously known as **PyPSA-Eur-Sec**, which is now
-deprecated) adds demand and supply for the following sectors: transport, space
-and water heating, biomass, energy consumption in the agriculture, industry and
-industrial feedstocks, carbon management, carbon capture and
-usage/sequestration. This completes the energy system and includes all
-greenhouse gas emitters except waste management, agriculture, forestry and land
-use. The diagram below gives an overview of the sectors and the links between
-them:
-
-.. image:: img/multisector_figure.png
-    :width: 70%
-    :align: center
-
-.. note::
-    You can find showcases of the model's capabilities in the Supplementary Materials of the
-    Joule paper `The potential role of a hydrogen network in Europe
-    <https://doi.org/10.1016/j.joule.2023.06.016>`__, the Supplementary Materials of another `paper in Joule with a
-    description of the industry sector
-    <https://doi.org/10.1016/j.joule.2022.04.016>`__, or in `a 2021 presentation
-    at EMP-E <https://nworbmot.org/energy/brown-empe.pdf>`__.
-    The sector-coupled extension of PyPSA-Eur was
-    initially described in the paper `Synergies of sector coupling and transmission
-    reinforcement in a cost-optimised, highly renewable European energy system
-    <https://arxiv.org/abs/1801.05290>`__ (2018) but it differs by being based on the
-    higher resolution electricity transmission model `PyPSA-Eur
-    <https://github.com/PyPSA/pypsa-eur>`__ rather than a one-node-per-country model,
-    and by including biomass, industry, industrial feedstocks, aviation, shipping,
-    better carbon management, carbon capture and usage/sequestration, and gas
-    networks.
-
-About
------
-
-PyPSA-Eur is designed to be imported into the open energy system modelling
-framework `PyPSA <https://www.pypsa.org>`__ for which `documentation
-<https://pypsa.readthedocs.io>`__ is available as well. However, since the
-workflow is modular, it should be easy to adapt the data workflow to other
-modelling frameworks.
-
-The restriction to freely available and open data encourages the open exchange
-of model data developments and eases the comparison of model results. It
-provides a full, automated software pipeline to assemble the load-flow-ready
-model from the original datasets, which enables easy replacement and improvement
-of the individual parts.
-
-.. warning::
-    PyPSA-Eur is under active development and has several
-    :doc:`limitations` which
-    you should understand before using the model. The Github repository
-    `issues <https://github.com/PyPSA/pypsa-eur/issues>`__ collect known
-    topics we are working on. Please feel free to help or make suggestions.
-
-This project is currently maintained by the `Department of Digital
-Transformation in Energy Systems <https://www.tu.berlin/en/ensys>`__ at the
-`Technische Universität Berlin <https://www.tu.berlin>`__. Previous versions were
-developed within the `IAI <http://www.iai.kit.edu>`__ at the `Karlsruhe Institute
-of Technology (KIT) <http://www.kit.edu/english/index.php>`__ which was funded by
-the `Helmholtz Association <https://www.helmholtz.de/en/>`__, and by the
-`Renewable Energy Group
-<https://fias.uni-frankfurt.de/physics/schramm/renewable-energy-system-and-network-analysis/>`__
-at `FIAS <https://fias.uni-frankfurt.de/>`__ to carry out simulations for the
-`CoNDyNet project <http://condynet.de/>`__, financed by the `German Federal
-Ministry for Education and Research (BMBF) <https://www.bmbf.de/en/index.html>`__
-as part of the `Stromnetze Research Initiative
-<http://forschung-stromnetze.info/projekte/grundlagen-und-konzepte-fuer-effiziente-dezentrale-stromnetze/>`__.
-
-
-Workflow
---------
-
-.. image:: img/workflow.png
-    :class: full-width
-    :align: center
-
-.. note::
-    The graph above was generated using
-    ``pixi run dot -c && snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png``
-
-
-Learning Energy System Modelling
---------------------------------
-
-If you are (relatively) new to energy system modelling and optimisation and plan
-to use PyPSA-Eur, the following resources are one way to get started in addition
-to reading this documentation.
-
-- Documentation of `PyPSA <https://pypsa.readthedocs.io>`__, the package for
-  modelling energy systems which PyPSA-Eur uses under the hood.
-- Course on `Energy Systems <https://nworbmot.org/courses/es-22/>`__ given at
-  Technical University of Berlin by `Prof. Dr. Tom Brown <https://nworbmot.org>`__.
-- Course on `Data Science for Energy System Modelling <https://fneum.github.io/data-science-for-esm/intro.html>`__
-  given at Technical University of Berlin by `Dr. Fabian Neumann <https://neumann.fyi>`__.
-
-
-Citing PyPSA-Eur
-----------------
-
-If you use PyPSA-Eur for your research, we would appreciate it if you would cite one of the following papers:
-
-For electricity-only studies: ::
-
-    @article{PyPSAEur,
-        author = "Jonas Hoersch and Fabian Hofmann and David Schlachtberger and Tom Brown",
-        title = "PyPSA-Eur: An open optimisation model of the European transmission system",
-        journal = "Energy Strategy Reviews",
-        volume = "22",
-        pages = "207--215",
-        year = "2018",
-        doi = "10.1016/j.esr.2018.08.012",
-        eprint = "1806.01613"
-    }
-
-For sector-coupling studies: ::
-
-    @misc{PyPSAEurSec,
-        author = "Fabian Neumann and Elisabeth Zeyen and Marta Victoria and Tom Brown",
-        title = "The potential role of a hydrogen network in Europe",
-        journal = "Joule",
-        volume = "7",
-        pages = "1--25",
-        year = "2023",
-        eprint = "2207.05816",
-        doi = "10.1016/j.joule.2023.06.016",
-    }
-
-For sector-coupling studies with pathway optimisation: ::
-
-    @article{SpeedTechnological2022,
-        title = "Speed of technological transformations required in {Europe} to achieve different climate goals",
-        author = "Marta Victoria and Elisabeth Zeyen and Tom Brown",
-        journal = "Joule",
-        volume = "6",
-        number = "5",
-        pages = "1066--1086",
-        year = "2022",
-        doi = "10.1016/j.joule.2022.04.016",
-        eprint = "2109.09563",
-    }
-
-
-If you want to cite a specific PyPSA-Eur version, each release of PyPSA-Eur is stored on Zenodo with a release-specific DOI:
-
-.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg
-   :target: https://doi.org/10.5281/zenodo.3520874
-
-
-Operating Systems
------------------
-
-The PyPSA-Eur workflow is continuously tested for Linux, macOS and Windows (WSL only).
-
-|
-
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Getting Started
-
-   introduction
-   installation
-   faq_troubleshooting
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Open TYNDP
-
-   scenarios
-   sb
-   cba
-   benchmarking
-   innovation_roadmap
-
-
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: References
-
-   release_notes
-   licenses
-   data_sources
-   oetc
-   limitations
-   contributing
-   support
-   publications
-   contributors
-
-.. raw:: html
-
-   <hr>
-
-PyPSA-Eur related pages
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Background on PyPSA-Eur
-
-   wildcards
-   configuration
-   foresight
-   costs
-   validation
-   spatial_resolution
-   supply_demand
-   spatial_resolution
-   supply_demand
-
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   :caption: Rules Overview
-
-   retrieve
-   preparation
-   sector
-   solving
-   plotting
-
-
diff --git a/doc/innovation_roadmap.md b/doc/innovation_roadmap.md
new file mode 100644
index 0000000000..1176ace3c0
--- /dev/null
+++ b/doc/innovation_roadmap.md
@@ -0,0 +1,82 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Innovation Roadmap {#innovation_roadmap}
+
+The tables below compare the current and upcoming features of the Open TYNDP workflow (and those already implemented in PyPSA-Eur) to the
+[TYNDP Innovation Roadmap](https://tyndp.entsoe.eu/resources/tyndp-scenarios-innovation-roadmap) which lists desirable features for the 2026 TYNDP cycle.
+
+| TYNDP 2024 | Current Open TYNDP Implementation | Comparison with PyPSA-Eur |
+|---|---|---|
+| TYNDP 2024 brings together a suite of tools into a toolchain to develop the scenarios. These include: Energy Transition Model, Supply Tool, DFT, PLEXOS, Visualisation Platform, Data files, Antares*, Promed (internal)*, APG Tool (internal)*. Asterix (*) marks tools used only for Cost Benefit Analysis. | The current Open-TYNDP implementation for Scenario Building focuses on: Replicating the functionalities of PLEXOS as the core market simulation tool; Providing automated workflow for input data processing via Snakemake; Implementing visualization of the results. We use existing outputs from Supply Tool and DFT as inputs, rather than replacing these tools in the Open-TYNDP. | PyPSA-Eur has the capability to cover all components of the TYNDP toolchain (including calculating capacity factors, heat demand time series, and total annual demands). Supply Tool and DFT could be replaced within the Open-TYNDP framework, but this would require: Code adaptations to be integrated back into PyPSA-Eur core functionality; Explicit assumptions about technology specifications (e.g., types of onshore wind farms, PV panel characteristics) to generate accurate capacity factors; Either adopting PyPSA-Eur's standard assumptions or documenting a new set of transparent assumptions (noting that existing TYNDP assumptions behind Supply Tool/DFT are not publicly available). |
+
+## Innovations on the Energy Transition Model (ETM)
+
+| Innovation Roadmap Details | Current Open TYNDP Implementation | Features available in PyPSA-Eur |
+|---|---|---|
+| **5.1 Dashboard** — All graphs for the TYNDP 2026 report will be integrated into a reactive dashboard. | Open TYNDP will feature a dashboard that allows users to explore the results of the scenarios interactively. | PyPSA-Eur offers automated plotting of energy balance maps and heatmap time series. Recent updates include interactive bus-balance plots and heat-source maps. |
+| **5.2 Improvement of Reference Values** — Update residential space heating and hot water technology shares using more granular national data rather than 2019 EUROSTAT energy statistics. | Open-TYNDP has refined electricity demand and biomass potentials to achieve an exact match with reference values. | This challenge is shared by Open TYNDP. For the existing heating technologies in terms of capacities per country the [DG ENER mapping analysis](https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en) is used, an update is needed. For district heating shares [Fraunhofer ISI data](https://fordatis.fraunhofer.de/handle/fordatis/341.5). This data source is also used for geothermal heat potentials. PyPSA-Eur recently updated its energy balances to JRC-IDEES-2021, switching the reference year to 2019. |
+| **5.3 Addition of climate year functionality** — Integrate weather years into energy demand scenarios including heating demand (electricity demand from heat pumps and boilers) and all final energy demands; Produce a set of sectoral energy demand profiles for each scenario. | Open-TYNDP reproduces TYNDP 2024 methodology, so uses the same assumptions concerning final energy demand. | PyPSA-Eur now supports spanning multiple consecutive or meteorological weather years in a single optimization. It provides pre-built cutouts for a wide range of years (e.g., 1996, 2010–2023). Total electricity demand is endogenous in the optimisation, as it is calculated from energy service demands and the endogenous choice of demand technologies (such as heat-pumps or gas boilers). The performance of the demand technologies as well as the demand itself is therefore a function of weather parameters calculated from climate scenarios. This could be integrated into the automated Open TYNDP workflow instead of using exogenous demands for e.g. natural gas. |
+| **5.4 Include missing non-EU countries** — Include missing non-EU countries such as Norway, Switzerland, and Serbia; Split the UK into separate datasets for Great Britain and Northern Ireland. | Open TYNDP implements the same regional coverage as TYNDP 2024. | Open TYNDP covers the full ENTSO-E area and has recently integrated Ukraine, Moldova, and Kosovo. PyPSA-Eur supports NUTS-level clustering across these regions. This makes it relatively easy to create a spatial representation including Norway, Switzerland and Serbia (or any other countries). Norway, UK & Switzerland are part of the reference grid, but new data would need to be collected. |
+| **5.5 Stable ETM server for 2026 cycle** — ensure that a stable version of the ETM is available with consistent data and features for the duration of the 2026 cycle. | Open-source frameworks achieve stability through version control. To manage computational environment, conda-lock files are used for dependency management and Snakemake version requirements (e.g., minimum version 9.0) to ensure cross-platform reproducibility. | ditto |
+| **5.6 Integrate supply tool features in ETM** — Merging supply modeling features (CCS, imports, biomass) directly into the ETM to reduce interfaces and provide a coherent energy system representation. | Open TYNDP currently uses exogenous demand assumptions in line with TYNDP 2024. Open-TYNDP is an integrated cross-sectoral model. It already includes CO₂ sequestration potentials (CO2Stop), optimising CO2 storage, CCS technologies, carbon networks, regional biomass potentials and transport costs, and automated import price configurations. | PyPSA-Eur already integrates supply and demand features into a full integrated workflow. |
+| **5.7 Demand profile modelling in ETM** — Model hourly methane and hydrogen profiles instead of using internal ENTSOG tool ensuring full consistency with scenario assumptions; Model hourly electricity demand profiles, creating a strong link to scenario parameters and demand profiles while leaving flexibility for TSOs to choose adoption. | Open-TYNDP has implemented the attachment of exogenous TYNDP gas and hydrogen demands to the network. | Unlike TYNDP's fixed hydrogen and methane demands, PyPSA-Eur models final energy service demands (industrial process heat, heating, etc.) and endogenously optimises which energy carrier (hydrogen, methane, electricity) meets each demand. This allows the model to capture technology competition and fuel switching based on relative costs and availability. |
+
+## Pan-European Market Modelling Database App
+
+| Innovation Roadmap Details | Current Open TYNDP Implementation | Features available in PyPSA-Eur |
+|---|---|---|
+| The PEMMDB app will provide an API to allow efficient data transfer into the PLEXOS model. | The Open TYNDP workflow already automates data integration through REST API calls to various sources, as well as automatically downloading, extracting, transforming and filtering data for all of its inputs. | |
+
+## Quality Control
+
+| Innovation Roadmap Details | Current Open TYNDP Implementation | Features available in PyPSA-Eur |
+|---|---|---|
+| Perform sanity checks on each scenario, for example preventing simultaneous dispatch of electrolysers and H2/gas-fired plants, ensuring reasonable levels of curtailment and Energy Not Served, comparing generator margins, cross-sector assets and storage investment costs. | Open TYNDP already offers: Automated plotting of energy balances for each carrier, enabling quick identification of potential issues such as simultaneous electrolyser operation and hydrogen consumption; Curtailment with technology-specific values; Comprehensive n.statistics module for rapid evaluation of key metrics; Basic consistency checking via n.consistency_check() to validate network topology and parameter ranges. | Further development work could allow automated sanity checks with warnings for scenario-specific thresholds (e.g., flagging curtailment levels above 15%). |
+
+## System Modelling Innovations
+
+The bulk of innovations are listed under system modelling.
+
+| Innovation Roadmap Details | Current Open TYNDP Implementation | Features available in PyPSA-Eur |
+|---|---|---|
+| **8.1 Hydrogen storage** — differentiate between short-term and seasonal storage needs; better representation of operational constraints of storage facilities such as salt caverns and aquifers; align national and modelling studies on storage capacities; incorporate techno-economic constraints of hydrogen supply; improve pipelines modelling to reflect transport flexibility. | Open-TYNDP follows the same methodology as TYNDP for hydrogen infrastructure. | One could adapt back to PyPSA-Eur assumptions with some small modifications. PyPSA-Eur already implements: Long-term storage in salt caverns and aquifers, and short-term storage in medium or high-pressure steel tanks; Technical potential constraints — Underground storage capacities in salt caverns are limited based on technical potential estimations from Caglayan et al. (2020); Environmental considerations — Default configuration includes only nearshore underground storage potential (within 50 km of shore) due to environmental concerns regarding highly saline brine disposal. However, the model offers flexibility to select from three storage types: nearshore (&lt;50 km from sea), onshore (&gt;50 km from sea), or offshore; Pipeline modeling — Endogenous optimization of methane-to-hydrogen pipeline retrofitting, hydrogen transport losses, and transport flow modeling in the pipeline network. The following could be implemented with minor code extensions: Minimum hydrogen storage fill levels to account for working gas requirements; Electrolyser ramp-up and ramp-down constraints reflecting technical flexibility limits; Minimum run requirements for electrolysers (must-run constraints); Line packing in H2 pipelines (could be modeled as additional storage capacity). While this would be hard to implement: Physical hydrogen flows with pressure modeling — full representation of pressure-dependent flow dynamics would require fundamental changes to the transport model architecture and substantially increase computational complexity. |
+| **8.2 Integration of Hybrid heat pumps** — Ensure hybrid systems are correctly sized for applications, considering peak demand scenarios; Ensure assumptions incorporate both economics and behavioural considerations. | The current implementation supports hybrid heating systems as an investment option alongside standalone heat pumps, resistive heaters, and gas boilers. Various heat pump types and the calculation of the corresponding COP are included. Heating capacity sizing is endogenously optimized based on full-year hourly heating demand profiles, ensuring adequate capacity for peak demand periods while minimising total system costs. | In PyPSA-Eur, all investment decisions are purely economics-driven based on cost optimization. Behavioral considerations, such as consumer preferences are not currently incorporated. Behavioral constraints could be integrated if formulated as explicit technical or policy constraints, for example, maximum deployment rates to limit annual heat pump installations to realistic adoption curves (e.g., maximum 5% annual increase in heat pump penetration per region). |
+| **8.3 Grid topology** — Incorporate more detailed representation of H2 network topology that approximates physical H2 flow to ensure key H2 corridors and infrastructure are well represented. | Detailed H2 network topology is already implemented. Open-TYNDP uses the TYNDP H2 topology, including Z1 and Z2 setup. H2 flows are represented as a linear transport model. | Line packing could be added easily. Physical flows including pressure drops would be harder, and result in a non-linear optimisation. PyPSA-Eur supports administrative clustering (NUTS0 to NUTS3), allowing the network to be resolved at highly granular levels. |
+| **8.4 Gas turbine usage and peaking unit utilisation** — Explore dynamic operational needs of gas turbines given increasing reliance of variable renewable resources; Update assumptions around CH4 to H2 retrofitting projects, which have struggled to compete in current markets. | Open-TYNDP follows TYNDP methodology. | Open TYNDP allows for endogenous retrofitting of CH4 plants to operate with H2, or retrofitting of gas boilers to run with H2. |
+| **8.5 EV Modelling** — Ensure that electricity flows follow charge/discharge cycles of EV batteries. | Simultaneous charging/discharging is avoided in PyPSA framework used by Open TYNDP by the use of small marginal costs. | PyPSA-Eur refines Vehicle-to-Grid (V2G) dispatch capacity and temperature-dependent energy demand correction factors for EVs. These will be incorporated in Open TYNDP during a future update. |
+| **8.6 Economic Assessment** — incorporate economic assessment of key technologies such as Steam Methane Reformers (SMR), nuclear plants, ammonia regasification terminals which are currently represented without economic attributes. | Open TYNDP incorporates default capital investment and fixed and variable operation cost assumptions for all technologies based on the open-source [technology-database](https://github.com/PyPSA/technology-data). | All relevant features already implemented. |
+| **8.7 Methane pricing structure and formation** — Resolve pricing inconsistencies between synthetic natural gas, biomethane and hydrogen. | High consistency is assured through using open licensed databases which are checked by multiple people. The automated workflow guarantees same currency year and units. | All relevant features already implemented. |
+| **8.8 Ammonia Import costs** — Ensure ammonia import costs reflect the entire supply chain. | Open-TYNDP follows TYNDP methodology. | PyPSA-Eur includes location and capacities of European ammonia plants. Ammonia import prices and volumes can be configured. Supply chain costs can be modelled directly for all green carriers. See [Neumann et al. (2025)](https://www.nature.com/articles/s41467-025-60652-1). |
+| **8.9 Distinguish between hydrogen use as energy or feedstock** — Separating hydrogen used directly as a gas from hydrogen used as a feedstock for producing synthetic fuels. | Open-TYNDP follows TYNDP methodology. | H2 use for energy and feedstock purposes is already clearly distinguished, which includes a suite of technologies for methanol-to-power, reforming, and kerosene, and updated locations/capacities for ammonia plants to accurately distribute demand. |
+| **8.10 Flexibility of heat pumps** — Incorporate heat-pump modelling into PLEXOS to better represent flexibility, thermal inertia and heat storage. | Open TYNDP implements the TYNDP methodology for modelling hybrid heating. | PyPSA-Eur incorporates heat pump modelling for various types of heat pumps, including the calculation of the COP. Differentiates between rural/urban, service/residential, district/individual heating. For district heating different types of thermal storage are modelled, including constraints on the energy-to-power ratio, booster heat pumps to get to the necessary temperature level of the district heating network. For individual heating, small thermal storage in the form of water tanks is included. Endogenous decision on building renovation can be modelled, with country-specific building stock data and renovation costs. Thermal inertia of buildings is not modelled but could be represented by a free thermal storage. Includes an option to calculate dynamic storage capacities for thermal energy storage. Also includes aquifer thermal energy storage, and supplemental heating such as booster heat pumps. |
+| **8.11 Modelling of E-fuels** — Allow transportation of e-methanol, e-methane and e-kerosene via pipelines, ships or tanker trucks; Incorporate full load hours into spatial optimisation of e-fuel refineries and supply infrastructure. | <TODO\> | <TODO\> |
+| **8.12 Higher granularity topology** — Adding more nodes per country and differentiating between prosumer and non-prosumer households for accurate grid interaction modeling. | Open TYNDP builds on PyPSA-Eur which enables highly spatial and temporally resolved modelling. | PyPSA-Eur was designed for highly resolved spatial and temporal modelling. It supports multiple resource classes for wind and solar per region to improve accuracy at low spatial resolutions. It also allows for behind-the-meter rooftop PV modeling. Higher spatial resolution is possible, also the data can be added on a higher spatial resolution with finer granularity. Distribution grid with associated costs and losses can be modelled, but data for existing infrastructure of the distribution grid as well as regional investment costs is missing. On the distribution level connected are EV charging, rooftop PV, electricity demand for individual heating technologies. Different types of PV panels can be modelled on the distribution grid level (see [Rahdan et al. (2025)](https://www.nature.com/articles/s41467-025-61492-9), and [Rahdan et al. (2024)](https://www.sciencedirect.com/science/article/pii/S0306261924001041)). |
+| **8.13 Improved modelling of prosumer demand** | Open TYNDP allows connection of microgeneration e.g. residential solar PV to be connected to low voltage buses. Residential and utility scale PV are treated separately, with separate rules in the workflow to build and cluster rooftop potentials. Open TYNDP also distinguishes between stationary/utility-scale batteries, home batteries and EV batteries. | All relevant features already implemented. |
+| **8.14 Consider peaking units as expansion candidates** | Open TYNDP is a capacity expansion model by nature and can be set to build new peaking units whenever they are the cost-optimal way to ensure reliability. | All relevant features already implemented. |
+| **8.15 Check on remaining CO2 emissions in 2050** | Open TYNDP models the full CO2 management (not only emissions, but also CCS, storage, CO2 networks). Remaining emissions can be checked in the final csvs and automated plots. | A simple extension is to add an extra constraint on top of the CO2 price, e.g. that CO2 emissions have to be net-zero in 2050. |
+| **8.16 Implementation of hybrid electrolyser plants** — Implementing plants connected to both dedicated renewables and the grid to optimize production and market coupling. | Open-TYNDP implements offshore wind hubs where wind farms can connect to both the network and P2G units for H2 production. | Existing studies such as [Zeyen et al. (2024)](https://iopscience.iop.org/article/10.1088/1748-9326/ad2239) have investigated this with PyPSA showing that implementation is possible for Open TYNDP model. |
+| **8.17 Hydrogen imports and pipeline assessment** — Modeling practical volumes and prices for pipeline imports to evaluate energy security and dependence. | <TODO\> | PyPSA-Eur implemented renewable energy imports for H2, ammonia, methanol, and oil with configurable prices and volume limits. |
+| **8.18 Geographical correlation in hydrogen production** | Open-TYNDP ensures geographical correlation by attaching planning-year dependent renewable profiles from the PECD to specific generators within interconnected zones. | <TODO\> |
+
+## Stakeholder Reference Group (SRG) Proposals
+
+| Innovation Roadmap Details | Current Open TYNDP Implementation | Features available in PyPSA-Eur |
+|---|---|---|
+| **9.1 Synthetic Fuels** — Incorporating methanol for the maritime sector to align with decarbonization goals and identify infrastructure needs. | <TODO\> | PyPSA-Eur introduced methanol-based technologies (e.g., biomass-to-methanol) in its 2024.09 release. PyPSA-Eur defaults maritime demand to methanol. Methanol can be used also in various other sectors (e.g. as back up power, in industry, as kerosene). See [Glaum et al. (2025)](https://arxiv.org/html/2505.09277v1). |
+| **9.2 Climatic Variability** — Suggesting models run with three different climatic years to assess impact on energy security. | <TODO\> | PyPSA-Eur is designed for this; it integrates with atlite to process multi-year datasets and supports spanning these in a single model. |
+| **9.3 Industrial applications** — Verify technical and commercial viability of converting industrial gas offtakes to H2 or other carriers before grid expansion. | | PyPSA-Eur interpolates industry sector transition pathways, gradually switching processes from status quo to best-in-class energy consumption per ton of material output. One can also choose to model the supply of process heat for industry (split in low, medium, high) endogenously, so the cost-optimal solution would be found for a potential switch from methane to hydrogen/power/biomass. |
+| **9.4 Sector-specific modelling** — Discuss the Z1 Z2 concept to streamline management across gas, electricity, and hydrogen vectors. | Open-TYNDP has already introduced the TYNDP H2 topology, which specifically includes the H2 Z1 and Z2 setup, production, and storage technologies. | |
+| **9.5 EV modelling techniques** — refine assumptions on EV charging behavior and their impact on potential grid bottlenecks. | | PyPSA-Eur now limits Vehicle-to-Grid (V2G) dispatch capacity based on the fraction of vehicles participating in demand-side management. It also refines temperature-dependent correction factors for EV energy demand. Since the distribution grid is modelled (without the corresponding topology), just as a capacity expansion with corresponding costs, one can investigate the relation between flexible EV charging and necessary distribution grid capacity. |
+| **9.6 District heating** — Create a dedicated tool distinct from the ETM to simulate production from biomass, geothermal, and other sources. | | PyPSA-Eur already features a highly detailed district heating module. Recent additions include geothermal district heating, aquifer thermal energy storage (ATES), and booster heat pumps for supplemental heating. |
+| **9.7 Liquified hydrogen** — Explore LH2 import methods to understand logistical, storage, and cost constraints. | | PyPSA-Eur implements a "H2 liquid" bus at each location to specifically handle hydrogen liquefaction costs for shipping demand. |
+| **9.8 H2 Import Quotas** — Align hydrogen import quotas with RepowerEU targets to avoid overestimating domestic production. | | |
+| **9.9 Electric heat pumps** — Move heat pump modeling to PLEXOS to better capture thermal inertia and load management. | | Thermal inertia of buildings could be modelled as an additional store but is not implemented in PyPSA-Eur. Heat demand reductions by endogenous optimisation of building renovation is implemented in PyPSA-Eur. |
+| **9.10 Optimisation Across Energy Vectors** — Expanding PLEXOS to integrate electricity, gas, and hydrogen systems holistically. | Open-TYNDP optimizes these vectors simultaneously by default. | PyPSA-Eur optimizes these vectors simultaneously by default. |
+| **9.11 Transmission System Losses** — Reassessing losses to reflect actual power flow dynamics more accurately. | | PyPSA-Eur allows for piecewise linear approximation of transmission losses and provides the option to disable efficiency losses for specific carriers. |
+| **9.12 Additional hydrogen production pathways** — Integrating methane pyrolysis and waste-to-hydrogen processes. | | PyPSA-Eur has already integrated biomass-to-hydrogen (with or without carbon capture) and supports custom technology adjustments via configuration. |
+| **9.13 Flexibility in modelling** — Focus on load displacement (shifting demand) rather than just load reduction to maximize renewable use. | Open TYNDP follows TYNDP methodology so exhibits the same limitation. | PyPSA-Eur has higher flexibility since all sectors are modelled (instead of fixed exogenous demand for H2). |
+| **9.14 Price setting for hydrogen** — Revise methodology to reflect real-world contracts and costs like dehydrogenation. | As an integrated sector-coupled model, endogenous pricing of hydrogen includes all represented upstream processes. | ditto |
+| **9.15 Sensitivity to commodity prices** — Conduct sensitivity analyses on price fluctuations (gas, oil, H2) to understand investment risks. | Workflow management tool snakemake enables the simultaneous execution of multiple scenarios with single calls and configuration overrides. | The solution space could be scanned for near optimal solutions using e.g. the MGA method (see [Millinger et al. (2025)](https://www.nature.com/articles/s41560-024-01693-6)). |
+| **9.16 Inclusion of emerging technologies** | The collaborative approach offered by Open TYNDP provides a formal review process by which new technologies can be included in the analysis. | |
+| **9.17 Out of scope Innovations** — Carbon Capture and utilisation; Innovative Grid Technologies. | Open TYNDP includes a detailed representation of CCS and CDR technologies including carbon sequestration sites. | |
diff --git a/doc/innovation_roadmap.rst b/doc/innovation_roadmap.rst
deleted file mode 100644
index e80190f6c2..0000000000
--- a/doc/innovation_roadmap.rst
+++ /dev/null
@@ -1,334 +0,0 @@
-..
-  SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-
-  SPDX-License-Identifier: CC-BY-4.0
-
-.. _innovation_roadmap:
-
-##########################################
-Innovation Roadmap
-##########################################
-
-The tables below compare the current and upcoming features of the Open TYNDP workflow (and those already implemented in PyPSA-Eur) to the
-`TYNDP Innovation Roadmap <https://tyndp.entsoe.eu/resources/tyndp-scenarios-innovation-roadmap>`_ which lists desirable features for the 2026 TYNDP cycle.
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - TYNDP 2024
-     - Current Open TYNDP Implementation  
-     - Comparison with PyPSA-Eur
-   * - TYNDP 2024 brings together a suite of tools into a toolchain to develop the scenarios. These include:
-           - Energy Transition Model
-           - Supply Tool
-           - DFT
-           - PLEXOS
-           - Visualisation Platform
-           - Data files
-           - Antares*
-           - Promed (internal)*
-           - APG Tool (internal)*
-       Asterix (*) marks tools used only for Cost Benefit Analysis
-     - The current Open-TYNDP implementation for Scenario Building focuses on:
-           - Replicating the functionalities of PLEXOS as the core market simulation tool
-           - Providing automated workflow for input data processing via Snakemake
-           - Implementing visualization of the results
-
-       We use existing outputs from Supply Tool and DFT as inputs, rather than replacing these tools in the Open-TYNDP.
-
-     - PyPSA-Eur has the capability to cover all components of the TYNDP toolchain (including calculating capacity factors, heat demand time series, and total annual demands).
-       
-       Supply Tool and DFT could be replaced within the Open-TYNDP framework, but this would require:
-
-       - Code adaptations to be integrated back into PyPSA-Eur core functionality
-       - Explicit assumptions about technology specifications (e.g., types of onshore wind farms, PV panel characteristics) to generate accurate capacity factors
-       - Either adopting PyPSA-Eur's standard assumptions or documenting a new set of transparent assumptions (noting that existing TYNDP assumptions behind Supply Tool/DFT are not publicly available)
-
-Innovations on the Energy Transition Model (ETM)
-================================================
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - 5.1 Dashboard
-           - All graphs for the TYNDP 2026 report will be integrated into a reactive dashboard
-     - Open TYNDP will feature a dashboard that allows users to explore the results of the scenarios interactively
-     - PyPSA-Eur offers automated plotting of energy balance maps and heatmap time series. Recent updates include interactive bus-balance plots and heat-source maps
-   * - 5.2 Improvement of Reference Values
-           - Update residential space heating and hot water technology shares using more granular national data rather than 2019 EUROSTAT energy statistics
-     - Open-TYNDP has refined electricity demand and biomass potentials to achieve an exact match with reference values
-     - This challenge is shared by Open TYNDP. For the existing heating technologies in terms of capacities per country the `DG ENER mapping analysis <https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables-1_en>`_ is used, an update is needed.
-       For district heating shares `Fraunhofer ISI data <https://fordatis.fraunhofer.de/handle/fordatis/341.5>`_.
-       This data source is also used for geothermal heat potentials.
-       PyPSA-Eur recently updated its energy balances to JRC-IDEES-2021, switching the reference year to 2019.
-   * - 5.3 Addition of climate year functionality
-         - Integrate weather years into energy demand scenarios including heating demand (electricity demand from heat pumps and boilers) and all final energy demands 
-         - Produce a set of sectoral energy demand profiles for each scenario
-     - Open-TYNDP reproduces TYNDP 2024 methodology, so uses the same assumptions concerning final energy demand
-     - PyPSA-Eur now supports spanning multiple consecutive or meteorological weather years in a single optimization. It provides pre-built cutouts for a wide range of years (e.g., 1996, 2010–2023). Total electricity demand is endogenous in the optimisation, as it is calculated from energy service demands and the endogenous choice of demand technologies (such as heat-pumps or gas boilers). The performance of the demand technologies as well as the demand itself is therefore a function of weather parameters calculated from climate scenarios. This could be integrated into the automated Open TYNDP workflow instead of using exogenous demands for e.g. natural gas.
-   * - 5.4 Include missing non-EU countries 
-           - Include missing non-EU countries such as Norway, Switzerland, and Serbia
-           - Split the UK into separate datasets for Great Britain and Northern Ireland
-     - Open TYNDP implements the same regional coverage as TYNDP 2024
-     - Open TYNDP covers the full ENTSO-E area and has recently integrated Ukraine, Moldova, and Kosovo. 
-       PyPSA-Eur supports NUTS-level clustering across these regions. 
-       This makes it relatively easy to create a spatial representation including Norway, Switzerland and Serbia (or any other countries).
-       Norway, UK & Switzerland are part of the reference grid, but new data would need to be collected
-   * - 5.5 Stable ETM server for 2026 cycle
-           - ensure that a stable version of the ETM is available with consistent data and features for the duration of the 2026 cycle
-     - Open-source frameworks achieve stability through version control. To manage computational environment, conda-lock files are used for dependency management and Snakemake version requirements 
-       (e.g., minimum version 9.0) to ensure cross-platform reproducibility.
-     - ditto
-   * - 5.6 Integrate supply tool features in ETM 
-            - Merging supply modeling features (CCS, imports, biomass) directly into the ETM to reduce interfaces and provide a coherent energy system representation
-     - Open TYNDP currently uses exogenous demand assumptions in line with TYNDP 2024. Open-TYNDP is an integrated cross-sectoral model. 
-       It already includes CO_2 sequestration potentials (``CO2Stop``), optimising CO2 storage, CCS technologies, carbon networks, regional biomass potentials and transport costs, 
-       and automated import price configurations.
-     - PyPSA-Eur already integrates supply and demand features into a full integrated workflow.
-   * - 5.7 Demand profile modelling in ETM
-           - Model hourly methane and hydrogen profiles instead of using internal ENTSOG tool ensuring full consistency with scenario assumptions
-           - Model hourly electricity demand profiles, creating a strong link to scenario parameters and demand profiles while leaving flexibility for TSOs to choose adoption
-     - Open-TYNDP has implemented the attachment of exogenous TYNDP gas and hydrogen demands to the network.
-     - Unlike TYNDP's fixed hydrogen and methane demands, PyPSA-Eur models final energy service demands (industrial process heat, heating, etc.) and endogenously optimises which energy carrier (hydrogen, methane, electricity) meets each demand. This allows the model to capture technology competition and fuel switching based on relative costs and availability.
-
-Pan-European Market Modelling Database App
-==========================================
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - The PEMMDB app will provide an API to allow efficient data transfer into the PLEXOS model 
-     - The Open TYNDP workflow already automates data integration through REST API calls to various sources, as well as automatically downloading, extracting, transforming and filtering data for all of its inputs.
-     - 
-
-Quality Control
-===============
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - Perform sanity checks on each scenario, for example preventing simultaneous dispatch of electrolysers and H2/gas-fired plants, ensuring reasonable levels of curtailment and Energy Not Served, 
-       comparing generator margins, corss-sector assets and storage investment costs
-     - Open TYNDP already offers:
-           - Automated plotting of energy balances for each carrier, enabling quick identification of potential issues such as simultaneous electrolyser operation and hydrogen consumption
-           - Curtailment with technology-specific values
-           - Comprehensive n.statistics module for rapid evaluation key metrics
-           - Basic consistency checking via n.consistency_check() to validate network topology and parameter ranges
-     - Further development work could allow automated sanity checks with warnings for scenario-specific thresholds (e.g., flagging curtailment levels above 15%)
-
-System Modelling Innovations
-============================
-
-The bulk of innovations are listed under system modelling.
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - 8.1 Hydrogen storage
-           - differentiate between short-term and seasonal storage needs
-           - better representation of operational constraints of storage facilities such as salt caverns and aquifers
-           - align national and modelling studies on storage capacities
-           - incorporate techno-economic constraints of hydrogen supply
-           - improve pipelines modelling to reflect transport flexibility
-     - Open-TYNDP follows the same methodology as TYNDP for hydrogen infrastructure.
-     - One could adapt back to PyPSA-Eur assumptions with some small modifications. PyPSA-Eur already implements:
-           - Long-term storage in salt caverns and aquifers, and short-term storage in medium or high-pressure steel tanks
-           - Technical potential constraints - Underground storage capacities in salt caverns are limited based on technical potential estimations from Caglayan et al. (2020)
-           - Environmental considerations - Default configuration includes only nearshore underground storage potential (within 50 km of shore) due to environmental concerns regarding highly saline brine disposal. 
-             However, the model offers flexibility to select from three storage types: nearshore (<50 km from sea), onshore (>50 km from sea), or offshore
-           - Pipeline modeling - Endogenous optimization of methane-to-hydrogen pipeline retrofitting, hydrogen transport losses, and transport flow modeling in the pipeline network
-       The following could be implemented with minor code extensions:
-           - Minimum hydrogen storage fill levels to account for working gas requirements
-           - Electrolyser ramp-up and ramp-down constraints reflecting technical flexibility limits
-           - Minimum run requirements for electrolysers (must-run constraints)
-           - Line packing in H2 pipelines: Could be modeled as additional storage capacity
-       While this would be hard to implement:
-           - Physical hydrogen flows with pressure modeling: Full representation of pressure-dependent flow dynamics would require fundamental changes to the transport model architecture and substantially increase computational complexity
-   * - 8.2 Integration of Hybrid heat pumps
-         - Ensure hybrid systems are correctly sized for applications, considering peak demand scenarios
-         - Ensure assumptions incorporate both economics and behavioural considerations
-     - The current implementation supports hybrid heating systems as an investment option alongside standalone heat pumps, resistive heaters, and gas boilers. Various heat pump types and the calculation of the corresponding COP are included. 
-       Heating capacity sizing is endogenously optimized based on full-year hourly heating demand profiles, ensuring adequate capacity for peak demand periods while minimising total system costs.
-       
-     - In PyPSA-Eur, all investment decisions are purely economics-driven based on cost optimization. Behavioral considerations, such as consumer preferences are not currently incorporated.
-       Behavioral constraints could be integrated if formulated as explicit technical or policy constraints, for example, 
-       maximum deployment rates to limit annual heat pump installations to realistic adoption curves (e.g., maximum 5% annual increase in heat pump penetration per region)
-   * - 8.3 Grid topology
-         - Incorporate more detailed representation of H2 network topology that approximates physical H2 flow to ensure key H2 corridors and infrastructure are well represented
-     - Detailed H2 network topology is already implemented. Open-TYNDP uses the TYNDP H2 topology, including Z1 and Z2 setup. H2 flow are represented as a linear transport model. 
-     - Line packing could be added easily.
-       Physical flows including pressure drops would be harder, and result in a non-linear optimisation.
-       PyPSA-Eur supports administrative clustering (NUTS0 to NUTS3), allowing the network to be resolved at highly granular levels.
-   * - 8.4 Gas turbine usage and peaking unit utilisation 
-         - Explore dynamic operational needs of gas turbines given increasing reliance of variable renewable resources
-         - Update assumptions around CH4 to H2 retrofitting projects, which have struggled to compete in current markets
-     - Open-TYNDP follows TYNDP methodology 
-     - Open TYNDP allows for endogenous retrofitting of CH4 plants to operate with H2, or retrofitting of gas boilers to run with H2
-   * - 8.5 EV Modelling
-         - Ensure that electricity flows follow charge/discharge cycles of EV batteries
-     - Simultaneous charging/discharging is avoided in PyPSA framework used by Open TYNDP by the use of small marginal costs.
-     - PyPSA-Eur refines Vehicle-to-Grid (V2G) dispatch capacity and temperature-dependent energy demand correction factors for EVs. These will be incorporated in Open TYNDP during a future update.
-   * - 8.6 Economic Assessment
-         - incorporate economic assessment of key technologies such as Steam Methane Reformers (SMR), nuclear plants, ammonia regasification terminals which are currently represented without economic attributes
-     - Open TYNDP incorporates default capital investment and fixed and variable operation cost assumptions for all technologies based on the open-source `technology-database <https://github.com/PyPSA/technology-data>`_
-     - All relevant features of already implemented
-   * - 8.7 Methane pricing structure and formation
-            - Resolve pricing inconsistences between synthetic natural gas, biomethane and hydrogen
-     - High consistency is assured through using open licensed databases which are checked by multiple people. The automated workflow guarantees same currency year and units
-     - All relevant features of already implemented
-   * - 8.8 Ammonia Import costs
-           - Ensure ammonia import costs reflect the entire supply chain
-     - Open-TYNDP follows TYNDP methodology 
-     - PyPSA-Eur includes location and capacities of European ammonia plants. Ammonia import prices and volumes can be configured.
-       Supply chain costs can be modelled directly for all green carriers. See `Neumann et al. (2025) <https://www.nature.com/articles/s41467-025-60652-1>`_
-   * - 8.9 Distinguish between hydrogen use as energy or feedstock 
-           - Separating hydrogen used directly as a gas from hydrogen used as a feedstock for producing synthetic fuels
-     - Open-TYNDP follows TYNDP methodology 
-     - H2 use for energy and feedstock purposes is already clearly distinguished, which includes a suite of technologies for methanol-to-power, reforming, and kerosene, and updated locations/capacities for ammonia plants to accurately distribute demand.
-   * - 8.10 Flexibility of heat pumps
-           - Incorporate heat-pump modelling into PLEXOS to better represent flexibility, thermal inertia and heat storage
-     - Open TYNDP implements the TYNDP methodology for modelling hybrid heating
-     - PyPSA-Eur incorporates heat pump modelling for various types of heat pumps, including the calculation of the COP
-           - differentiates between rural/urban, service/residential, district/individual heating
-           - for district heating different types of thermal storage are modelling, including constraints on the energy-to-power ration, booster heat pumps to get to the necessary temperature level of the district heating network
-           - for individual heating small thermal storage in form from water tanks is included
-           - endogenous decision on building renovation can be modelled, with country-specific building stock data and renovation costs
-           - thermal inertia of buildings is not modelled, could be presented by a free thermal storage
-             Includes an option to calculate dynamic storage capacities for thermal energy storage. Also includes aquifer thermal energy storage, and supplemental heating such as booster heat pumps.
-   * - 8.11 Modelling of E-fuels 
-           - Allow transportation of e-methanol, e-methane and e-kerosene via pipelines, ships or tanker trucks
-           - Incorporate full load hours into spatial optimisation of e-fuel refineries and supply infrastructure
-     - <TODO>
-     - <TODO>
-   * - 8.12 Higher granularity topology
-           - Adding more nodes per country and differentiating between prosumer and non-prosumer households for accurate grid interaction modeling
-     - Open TYNDP builds on PyPSA Eur which has enables highly spatial and temporally resolved modelling
-     - PyPSA-Eur was designed for highly resolved spatial and temporal modelling. It supports multiple resource classes for wind and solar per region to improve accuracy at low spatial resolutions. It also allows for behind-the-meter rooftop PV modeling.
-           - higher spatial resolution is possible, also the data can be added on a higher spatial resolution with finer granularity
-           - distribution grid with associated costs and losses can be modelled, but data for existing infrastructure of the distribution grid as well as regional investment costs is missing
-           - on the distribution level connected are EV charging, rooftop PV, electricity demand for individual heating technologies
-           - different types of PV panels can be modelled on the distribution grid level (see `Rahdan et al. (2025) <https://www.nature.com/articles/s41467-025-61492-9>`_, and `Rahdan et al. (2024) <https://www.sciencedirect.com/science/article/pii/S0306261924001041>`_
-   * - **8.13 Improved modelling of prosumer demand**
-     - Open TYNDP allows connection of microgeneration e.g. residential solar PV to be connected to low voltage buses.
-       Residential and utility scale PV are treated separately, with separate rules in the workflow to build and cluster rooftop potentials.
-       Open TYNDP also distinguishes between stationary/utility-scale batteries, home batteries and EV batteries.
-     - All relevant features of already implemented
-   * - **8.14 Consider peaking units as expansion candidates**
-     - Open TYNDP is a capacity expansion model by nature and can be set to build new peaking units whenever they are the cost-optimal way to ensure reliability.
-     - All relevant features of already implemented
-   * - **8.15 Check on remaining CO2 emissions in 2050**
-     - Open TYNDP models the full CO2 management (not only emissions, but also CCS, storage, CO2 networks). Remaining emissions can be checked in the final csvs and automated plots.
-     - A simple extension is to add an extra constraint on top of the CO2 price, e.g. that CO2 emissions have to be net-zero in 2050
-   * - 8.16 Implementation of hybrid electrolyser plants
-           - Implementing plants connected to both dedicated renewables and the grid to optimize production and market coupling
-     - Open-TYNDP implements offshore wind hubs where wind farms can connect to both the network and P2G units for H2 production
-     - Existing studies such as `Zeyen et al. (2024) <https://iopscience.iop.org/article/10.1088/1748-9326/ad2239>`_ have investigated this with PyPSA
-       showing that implementation is possible for Open TYNDP model.
-   * - 8.17 Hydrogen imports and pipeline assessment
-           - Modeling practical volumes and prices for pipeline imports to evaluate energy security and dependence.
-     - <TODO>
-     - PyPSA-Eur implemented renewable energy imports for H2, ammonia, methanol, and oil with configurable prices and volume limits.
-   * - **8.18 Geographical correlation in hydrogen production**
-     - Open-TYNDP ensures geographical correlation by attaching planning-year dependent renewable profiles from the PECD to specific generators within interconnected zones
-     - <TODO>
-
-Stakeholder Reference Group (SRG) Proposals
-===========================================
-
-.. list-table::
-   :widths: 33 33 34
-   :header-rows: 1
-
-   * - Innovation Roadmap Details
-     - Current Open TYNDP Implementation  
-     - Features available in PyPSA-Eur
-   * - 9.1 Synthetic Fuels
-           - Incorporating methanol for the maritime sector to align with decarbonization goals and identify infrastructure needs
-     - <TODO>
-     - PyPSA-Eur introduced methanol-based technologies (e.g., biomass-to-methanol) in its 2024.09 release. PyPSA-Eur defaults maritime demand to methanol.
-       Methanol can be used also in various other sectors (e.g. as back up power, in industry, as kerosene). See `Glaum et al. (2025) <https://arxiv.org/html/2505.09277v1>`_
-   * - 9.2 Climatic Variability
-           - Suggesting models run with three different climatic years to assess impact on energy security
-     - <TODO>
-     - PyPSA-Eur is designed for this; it integrates with atlite to process multi-year datasets and supports spanning these in a single model.
-  
-   * - 9.3 Industrial applications
-           - Verify technical and commercial viability of converting industrial gas offtakes to H2 or other carriers before grid expansion
-     - 
-     - PyPSA-Eur interpolates industry sector transition pathways, gradually switching processes from status quo to best-in-class energy consumption per ton of material output.
-       One can also choose to model the supply of process heat for industry (split in low, medium, high) endogenously, so cost-optimal solution would be found for potential switch from methane to hydrogen/power/biomass 
-   * - 9.4 Sector-specific modelling
-           - Discuss the Z1 Z2 concept to streamline management across gas, electricity, and hydrogen vectors
-     - Open-TYNDP has already introduced the TYNDP H2 topology, which specifically includes the H2 Z1 and Z2 setup, production, and storage technologies
-     -
-   * - 9.5 EV modelling techniques
-           - refine assumptions on EV charging behavior and their impact on potential grid bottlenecks
-     - 
-     - PyPSA-Eur now limits Vehicle-to-Grid (V2G) dispatch capacity based on the fraction of vehicles participating in demand-side management. It also refines temperature-dependent correction factors for EV energy demand.
-       Since the distribution grid is modelled (without the corresponding topology), just as an capacity expansion with corresponding costs, one can investigate the relation between flexible EV charging and necessary distribution grid capacity
-   * - 9.6 District heating
-           - Create a dedicated tool distinct from the ETM to simulate production from biomass, geothermal, and other sources
-     - 
-     - PyPSA-Eur already features a highly detailed district heating module. Recent additions include geothermal district heating, aquifer thermal energy storage (ATES), and booster heat pumps for supplemental heating
-
-   * - 9.7 Liquified hydrogen
-           - Explore LH2 import methods to understand logistical, storage, and cost constraints
-     -
-     - PyPSA-Eur implements a "H2 liquid" bus at each location to specifically handle hydrogen liquefaction costs for shipping demand
-   * - 9.8 H2 Import Quotas
-           - Align hydrogen import quotas with RepowerEU targets to avoid overestimating domestic production
-     - 
-     -
-   * - 9.9 Electric heat pumps
-           - Move heat pump modeling to PLEXOS to better capture thermal inertia and load management
-     - 
-     - Thermal inertia of buildings could be modelled as an additional store but is not implemented in PyPSA-Eur. Heat demand reductions by endogenous optimisation of building renovation is implemented in PyPSA-Eur.
-   * - 9.10 Optimisation Across Energy Vectors
-           - Expanding PLEXOS to integrate electricity, gas, and hydrogen systems holistically
-     - Open-TYNDP optimizes these vectors simultaneously by default
-     - PyPSA-Eur optimizes these vectors simultaneously by default
-   * - 9.11 Transmission System Losses
-           - Reassessing losses to reflect actual power flow dynamics more accurately
-     -
-     - PyPSA-Eur allows for piecewise linear approximation of transmission losses and provides the option to disable efficiency losses for specific carriers.
-   * - 9.12 Additional hydrogen production pathways
-           - Integrating methane pyrolysis and waste-to-hydrogen processes
-     - 
-     - PyPSA-Eur has already integrated biomass-to-hydrogen (with or without carbon capture) and supports custom technology adjustments via configuration.
-   * - 9.13 Flexibility in modelling
-           - Focus on load displacement (shifting demand) rather than just load reduction to maximize renewable use
-     - Open TYNDP follows TYNDP methodology so exhibits the same limitation. 
-     - PyPSA-Eur has higher flexibility since all sectors are modelled (instead of fixed exogenous demand for H2).
-   * - 9.14 Price setting for hydrogen
-           - Revise methodology to reflect real-world contracts and costs like dehydrogenation
-     - As an integrated sector-coupled model, endogenous pricing of hydrogen includes all represented upstream processes
-     - ditto
-   * - 9.15 Sensitivity to commodity prices
-           - Conduct sensitivity analyses on price fluctuations (gas, oil, H2) to understand investment risks
-     - Workflow management tool snakemake enables the simultaneous execution of multiple scenarios with single calls and configuration overrides
-     - The solution space could be scanned for near optimal solutions using e.g. the MGA method (see `Millinger et al. (2025) <https://www.nature.com/articles/s41560-024-01693-6>`_)
-   * - **9.16 Inclusion of emerging technologies**
-     - The collaborative approach offered by Open TYNDP provides a formal review process by which new technologies can be included in the analysis
-     - 
-   * - 9.17 Out of scope Innovations
-           - Carbon Capture and utilisation
-           - Innovative Grid Technologies
-     - Open TYNDP includes a detailed representation of CCS and CDR technologies including carbon sequestration sites
-     - 
diff --git a/doc/installation.md b/doc/installation.md
new file mode 100644
index 0000000000..af1bdac1a7
--- /dev/null
+++ b/doc/installation.md
@@ -0,0 +1,154 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Installation {#installation}
+
+The subsequently described installation steps are demonstrated as shell commands, where the path before the `%` sign denotes the
+directory in which the commands following the `%` should be entered.
+
+
+## Option A: Windows Installer (Recommended for Windows) {#windows_installer}
+
+For Windows users, the easiest way to install Open-TYNDP is using the automated installer. Download the latest installer executable (e.g., `open-tyndp-0.4.0-pixi-Windows-x86_64.exe`) from the [GitHub releases page](https://github.com/open-energy-transition/open-tyndp/releases) and run it.
+
+The installer will:
+
+1. Install pixi package manager to `%LOCALAPPDATA%\open-tyndp`
+2. Extract the repository files to your chosen installation directory
+3. Set up the conda environment automatically via `pixi install`
+4. Create Start Menu shortcuts for easy access:
+
+   - **Open-TYNDP PowerShell** - Launch PowerShell with environment activated
+   - **Open-TYNDP Command Prompt** - Launch Command Prompt with environment activated
+
+For more details about the installer, see `utils/windows-installer/README.md` in the repository.
+
+!!! note
+    If you prefer manual installation or need more control over the setup process, follow the instructions below for cloning the repository and installing dependencies manually.
+
+
+## Option B: Manual installation (All Platforms) {#manual_installation}
+
+### Clone the Repository {#clone_repo}
+
+First of all, clone the [Open-TYNDP repository](https://github.com/open-energy-transition/open-tyndp) using the version control system `git` in the command line.
+
+```console
+$ git clone https://github.com/open-energy-transition/open-tyndp.git
+```
+
+## Install Python Dependencies {#deps}
+
+### Preferred method: `pixi`
+
+PyPSA-Eur, and consequently Open-TYNDP, relies on a set of other Python packages to function.
+We manage these using [pixi](https://pixi.sh/latest/).
+Once pixi is installed, you can activate the project environment for your operating system and have access to all the PyPSA-Eur dependencies from the command line:
+
+```console
+$ pixi shell -e open-tyndp
+```
+
+!!! tip
+    You can also set up automatic shell activation in several popular editors (e.g. in [VSCode](https://pixi.sh/dev/integration/editor/vscode/) or [Zed](https://pixi.sh/dev/integration/editor/zed/)).
+    Refer to the `pixi` documentation for the most up-to-date options.
+
+!!! note
+    We don't currently support linux operating systems using ARM processors since certain packages, such as `PySCIPOpt`, require being built from source.
+
+### Legacy method: `conda`
+
+If you cannot access `pixi` on your machine, you can also install using [conda](https://docs.conda.io/projects/conda/en/stable/user-guide/install/index.html) (or `mamba`/`micromamba`).
+To do so, we highly recommend you install from one of our platform-specific environment files:
+
+* For Intel/AMD processors:
+    - Linux: `envs/default_linux-64.pin.txt`
+    - macOS: `envs/default_osx-64.pin.txt`
+    - Windows: `envs/default_win-64.pin.txt`
+
+* For ARM processors:
+    - macOS (Apple Silicon): `envs/default_osx-arm64.pin.txt`
+    - Linux (ARM): Currently not supported via lock files; requires building certain packages, such as `PySCIPOpt`, from source
+
+```console
+$ conda update conda
+
+$ conda create -n open-tyndp --file envs/default_linux-64.pin.txt # select the appropriate file for your platform
+
+$ conda activate open-tyndp
+```
+
+These platform-specific files have locked dependencies, to ensure reproducibility.
+If you are having difficulties with the above files, you can also install directly from the un-locked environment YAML file (not recommended):
+
+```console
+$ conda update conda
+
+$ conda env create -n open-tyndp -f envs/environment.yaml
+
+$ conda activate open-tyndp
+```
+
+## Install a Solver
+
+PyPSA passes the PyPSA-Eur network model to an external solver for performing the optimisation.
+PyPSA is known to work with the free software
+
+- [HiGHS](https://highs.dev/)
+- [Cbc](https://projects.coin-or.org/Cbc#DownloadandInstall)
+- [GLPK](https://www.gnu.org/software/glpk/) ([WinGLKP](http://winglpk.sourceforge.net/))
+- [SCIP](https://scipopt.github.io/PySCIPOpt/docs/html/index.html)
+
+and the non-free, commercial software (for some of which free academic licenses are available)
+
+- [Gurobi](https://www.gurobi.com/documentation/quickstart.html)
+- [CPLEX](https://www.ibm.com/products/ilog-cplex-optimization-studio)
+- [FICO Xpress Solver](https://www.fico.com/de/products/fico-xpress-solver)
+- [Mosek](https://www.mosek.com/)
+
+For installation instructions of these solvers for your operating system, follow the links above.
+Commercial solvers such as Gurobi and CPLEX currently significantly outperform open-source solvers for large-scale problems, and
+it might be the case that you can only retrieve solutions by using a commercial solver.
+Nevertheless, you can still use open-source solvers for smaller problems.
+
+!!! note "See also"
+    [Instructions how to install a solver in the documentation of PyPSA](https://pypsa.readthedocs.io/en/latest/installation.html#getting-a-solver-for-linear-optimisation)
+
+!!! note
+    The rules [cluster_network][] solves a mixed-integer quadratic optimisation problem for clustering.
+    The open-source solvers HiGHS, Cbc and GlPK cannot handle this. A fallback to SCIP is implemented in this case, which is included in the standard environment specifications.
+    For an open-source solver setup install for example HiGHS **and** SCIP in your `conda` environment on OSX/Linux.
+
+    To install the default solver Gurobi, run
+
+    ```console
+    $ conda activate open-tyndp
+    $ conda install -c gurobi gurobi"=12.0.1"
+    ```
+
+    Additionally, you need to setup your [Gurobi license](https://www.gurobi.com/solutions/licensing/).
+
+    To use Xpress, install the `xpress` Python package and ensure you have:
+
+    - `XPRESSDIR` environment variable pointing to your Xpress installation
+    - `XPAUTH_PATH` environment variable pointing to your license directory
+    - A valid Xpress license file
+
+    Then configure the solver in your config file:
+
+    ```yaml
+    solving:
+      solver:
+        name: xpress
+        options: xpress-default
+    ```
+
+    For GPU-accelerated solving, use:
+
+    ```yaml
+    solving:
+      solver:
+        name: xpress
+        options: xpress-gpu
+    ```
diff --git a/doc/installation.rst b/doc/installation.rst
deleted file mode 100644
index d509f2e535..0000000000
--- a/doc/installation.rst
+++ /dev/null
@@ -1,179 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _installation:
-
-##########################################
-Installation
-##########################################
-
-The subsequently described installation steps are demonstrated as shell commands, where the path before the ``%`` sign denotes the
-directory in which the commands following the ``%`` should be entered.
-
-
-.. _windows_installer:
-
-Option A: Windows Installer (Recommended for Windows)
-=====================================================
-
-For Windows users, the easiest way to install Open-TYNDP is using the automated installer. Download the latest installer executable (e.g., ``open-tyndp-0.4.0-pixi-Windows-x86_64.exe``) from the `GitHub releases page <https://github.com/open-energy-transition/open-tyndp/releases>`__ and run it.
-
-The installer will:
-
-1. Install pixi package manager to ``%LOCALAPPDATA%\open-tyndp``
-2. Extract the repository files to your chosen installation directory
-3. Set up the conda environment automatically via ``pixi install``
-4. Create Start Menu shortcuts for easy access:
-
-   - **Open-TYNDP PowerShell** - Launch PowerShell with environment activated
-   - **Open-TYNDP Command Prompt** - Launch Command Prompt with environment activated
-
-For more details about the installer, see ``utils/windows-installer/README.md`` in the repository.
-
-.. note::
-    If you prefer manual installation or need more control over the setup process, follow the instructions below for cloning the repository and installing dependencies manually.
-
-
-.. _manual_installation
-
-Option B: Manual installation (All Platforms)
-=============================================
-
-.. _clone_repo:
-
-Clone the Repository
---------------------
-
-First of all, clone the `Open-TYNDP repository <https://github.com/open-energy-transition/open-tyndp>`__ using the version control system ``git`` in the command line.
-
-.. code:: console
-
-    $ git clone https://github.com/open-energy-transition/open-tyndp.git
-
-
-.. _deps:
-
-Install Python Dependencies
----------------------------
-
-Preferred method: ``pixi``
-~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-PyPSA-Eur, and consequently Open-TYNDP, relies on a set of other Python packages to function.
-We manage these using `pixi <https://pixi.sh/latest/>`_.
-Once pixi is installed, you can activate the project environment for your operating system and have access to all the PyPSA-Eur dependencies from the command line:
-
-.. code:: console
-
-    $ pixi shell -e open-tyndp
-
-.. tip::
-    You can also set up automatic shell activation in several popular editors (e.g. in `VSCode <https://pixi.sh/dev/integration/editor/vscode/>`_ or `Zed <https://pixi.sh/dev/integration/editor/zed/>`_).
-    Refer to the ``pixi`` documentation for the most up-to-date options.
-
-.. note::
-    We don't currently support linux operating systems using ARM processors since certain packages, such as ``PySCIPOpt``, require being built from source.
-
-Legacy method: ``conda``
-~~~~~~~~~~~~~~~~~~~~~~~~
-
-If you cannot access ``pixi`` on your machine, you can also install using `conda <https://docs.conda.io/projects/conda/en/stable/user-guide/install/index.html>`_ (or ``mamba``/``micromamba``).
-To do so, we highly recommend you install from one of our platform-specific environment files:
-
-* For Intel/AMD processors:
-
-  - Linux: ``envs/default_linux-64.pin.txt``
-  - macOS: ``envs/default_osx-64.pin.txt``
-  - Windows: ``envs/default_win-64.pin.txt``
-
-* For ARM processors:
-
-  - macOS (Apple Silicon): ``envs/default_osx-arm64.pin.txt``
-  - Linux (ARM): Currently not supported via lock files; requires building certain packages, such as ``PySCIPOpt``, from source
-
-.. code:: console
-
-    $ conda update conda
-
-    $ conda create -n open-tyndp -f envs/default_linux-64.pin.txt # select the appropriate file for your platform
-
-    $ conda activate open-tyndp
-
-
-These platform-specific files have locked dependencies, to ensure reproducibility.
-If you are having difficulties with the above files, you can also install directly from the un-locked environment YAML file (not recommended):
-
-.. code:: console
-
-    $ conda update conda
-
-    $ conda env create -n open-tyndp -f envs/environment.yaml
-
-    $ conda activate open-tyndp
-
-
-Install a Solver
-----------------
-
-PyPSA passes the PyPSA-Eur network model to an external solver for performing the optimisation.
-PyPSA is known to work with the free software
-
-- `HiGHS <https://highs.dev/>`__
-- `Cbc <https://projects.coin-or.org/Cbc#DownloadandInstall>`__
-- `GLPK <https://www.gnu.org/software/glpk/>`__ (`WinGLKP <http://winglpk.sourceforge.net/>`__)
-- `SCIP <https://scipopt.github.io/PySCIPOpt/docs/html/index.html>`__
-
-and the non-free, commercial software (for some of which free academic licenses are available)
-
-- `Gurobi <https://www.gurobi.com/documentation/quickstart.html>`__
-- `CPLEX <https://www.ibm.com/products/ilog-cplex-optimization-studio>`__
-- `FICO Xpress Solver <https://www.fico.com/de/products/fico-xpress-solver>`__
-- `Mosek <https://www.mosek.com/>`__
-
-For installation instructions of these solvers for your operating system, follow the links above.
-Commercial solvers such as Gurobi and CPLEX currently significantly outperform open-source solvers for large-scale problems, and
-it might be the case that you can only retrieve solutions by using a commercial solver.
-Nevertheless, you can still use open-source solvers for smaller problems.
-
-.. seealso::
-    `Instructions how to install a solver in the documentation of PyPSA <https://pypsa.readthedocs.io/en/latest/installation.html#getting-a-solver-for-linear-optimisation>`__
-
-.. note::
-    The rules :mod:`cluster_network` solves a mixed-integer quadratic optimisation problem for clustering.
-    The open-source solvers HiGHS, Cbc and GlPK cannot handle this. A fallback to SCIP is implemented in this case, which is included in the standard environment specifications.
-    For an open-source solver setup install for example HiGHS **and** SCIP in your ``conda`` environment on OSX/Linux.
-
-    To install the default solver Gurobi, run
-
-    .. code:: console
-
-        $ conda activate open-tyndp
-        $ conda install -c gurobi gurobi"=12.0.1"
-
-    Additionally, you need to setup your `Gurobi license <https://www.gurobi.com/solutions/licensing/>`__.
-
-    To use Xpress, install the ``xpress`` Python package and ensure you have:
-
-    - ``XPRESSDIR`` environment variable pointing to your Xpress installation
-    - ``XPAUTH_PATH`` environment variable pointing to your license directory
-    - A valid Xpress license file
-
-    Then configure the solver in your config file:
-
-    .. code:: yaml
-
-        solving:
-          solver:
-            name: xpress
-            options: xpress-default
-
-    For GPU-accelerated solving, use:
-
-    .. code:: yaml
-
-        solving:
-          solver:
-            name: xpress
-            options: xpress-gpu
diff --git a/doc/introduction.md b/doc/introduction.md
new file mode 100644
index 0000000000..bea713e96e
--- /dev/null
+++ b/doc/introduction.md
@@ -0,0 +1,85 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Introduction {#intro}
+
+<iframe width="832" height="468" src="https://www.youtube.com/embed/nnAmOqJlGmk" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
+!!! note
+    Find the introductory slides [here](https://docs.google.com/presentation/d/1s4xkeGfR_IqArmceRaYgZUl0UFLymGXwjz6SRWBtNnE/edit).
+
+!!! warning
+    The video only introduces the electricity-only part of PyPSA-Eur.
+
+## Workflow
+
+The generation of the model is controlled by the open workflow management system
+[Snakemake](https://snakemake.github.io/). In a nutshell, the `Snakefile`
+declares for each script in the `scripts` directory a rule which describes
+which files the scripts consume and produce (their corresponding input and
+output files). The `snakemake` tool then runs the scripts in the correct order
+according to the rules' input and output dependencies. Moreover, `snakemake`
+will track what parts of the workflow have to be regenerated when files or
+scripts were modified.
+
+For instance, an invocation to
+
+```console
+$ snakemake -call results/networks/base_s_128_elec_.nc
+```
+
+follows this dependency graph
+
+[![Intro workflow](img/intro-workflow.svg)](img/intro-workflow.svg)
+
+to solve an electricity system model.
+
+The **blocks** represent the individual rules which are required to create the
+file referenced in the command above. The **arrows** indicate the outputs from
+preceding rules which another rule takes as input data.
+
+!!! note
+    The dependency graph was generated using
+    `pixi run snakemake --dag results/networks/base_s_128_elec_.nc -F | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/intro-workflow.svg`
+
+For the use of `snakemake`, it makes sense to familiarize yourself quickly
+with the [basic tutorial](https://snakemake.readthedocs.io/en/stable/tutorial/basics.html) and then
+read carefully through the documentation of the [command line interface](https://snakemake.readthedocs.io/en/stable/executing/cli.html), noting the
+arguments `-j`, `-c`, `-f`, `-F`, `-n`, `-r`, `--dag` and `-t`
+in particular.
+
+## Scenarios, Configuration and Modification
+
+PyPSA-Eur can be used to run multiple scenarios using the [wildcards feature](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards)
+of `snakemake`. Wildcards allow to generalise a rule to produce all files that
+follow a [regular expression](https://en.wikipedia.org/wiki/Regular_expression) pattern, which defines
+a particular scenario. One can think of a wildcard as a parameter that shows
+up in the input/output file names and thereby determines which rules to run,
+what data to retrieve and what files to produce. Details are explained in
+[Wildcards](wildcards.md) and [Scenarios](configuration.md#scenario).
+
+The model also has several further configuration options collected in the
+`config/config.default.yaml` file located in the root directory, which can be
+handled with another scenario management. Options are explained in
+[Configuration](configuration.md#config).
+
+## Folder Structure
+
+- `scripts`: Includes all the Python scripts executed by the `snakemake` rules.
+- `rules`: Includes all the `snakemake` rules loaded in the `Snakefile`.
+- `envs`: Includes option `conda` environment specifications to run the workflow (using `pixi` instead is our recommended approach).
+- `data`: Includes input data that is not produced by any `snakemake` rule.
+- `cutouts`: Stores raw weather data cutouts from `atlite`.
+- `resources`: Stores intermediate results of the workflow which can be picked up again by subsequent rules.
+- `results`: Stores the solved PyPSA network data, summary files and plots.
+- `logs`: Stores log files.
+- `benchmarks`: Stores `snakemake` benchmarks.
+- `doc`: Includes the documentation of PyPSA-Eur.
+- `docker`: Includes some optional Docker environments.
+
+## System Requirements
+
+Building the model with the scripts in this repository runs on a regular computer.
+But optimising for investment and operation decisions across many scenarios requires a strong interior-point solver
+like [Gurobi](http://www.gurobi.com/) or [CPLEX](https://www.ibm.com/analytics/cplex-optimizer) with more memory.
+Open-source solvers like [HiGHS](https://highs.dev) can also be used for smaller problems.
diff --git a/doc/introduction.rst b/doc/introduction.rst
deleted file mode 100644
index 2f97400e58..0000000000
--- a/doc/introduction.rst
+++ /dev/null
@@ -1,101 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _intro:
-
-##########################################
- Introduction
-##########################################
-
-.. raw:: html
-
-    <iframe width="832" height="468" src="https://www.youtube.com/embed/nnAmOqJlGmk" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
-.. note::
-    Find the introductory slides `here <https://docs.google.com/presentation/d/1s4xkeGfR_IqArmceRaYgZUl0UFLymGXwjz6SRWBtNnE/edit>`__.
-
-.. warning::
-    The video only introduces the electricity-only part of PyPSA-Eur.
-
-Workflow
-=========
-
-The generation of the model is controlled by the open workflow management system
-`Snakemake <https://snakemake.github.io/>`__. In a nutshell, the ``Snakefile``
-declares for each script in the ``scripts`` directory a rule which describes
-which files the scripts consume and produce (their corresponding input and
-output files). The ``snakemake`` tool then runs the scripts in the correct order
-according to the rules' input and output dependencies. Moreover, ``snakemake``
-will track what parts of the workflow have to be regenerated when files or
-scripts were modified.
-
-For instance, an invocation to
-
-.. code:: console
-
-    $ snakemake -call results/networks/base_s_128_elec_.nc
-
-follows this dependency graph
-
-.. image:: img/intro-workflow.png
-    :class: full-width
-
-to solve an electricity system model.
-
-The **blocks** represent the individual rules which are required to create the
-file referenced in the command above. The **arrows** indicate the outputs from
-preceding rules which another rule takes as input data.
-
-.. note::
-    The dependency graph was generated using
-    ``pixi run dot -c && snakemake --dag results/networks/base_s_128_elec_.nc -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/intro-workflow.png``
-
-For the use of ``snakemake``, it makes sense to familiarize yourself quickly
-with the `basic tutorial
-<https://snakemake.readthedocs.io/en/stable/tutorial/basics.html>`__ and then
-read carefully through the documentation of the `command line interface
-<https://snakemake.readthedocs.io/en/stable/executing/cli.html>`__, noting the
-arguments ``-j``, ``-c``, ``-f``, ``-F``, ``-n``, ``-r``, ``--dag`` and ``-t``
-in particular.
-
-Scenarios, Configuration and Modification
-=========================================
-
-PyPSA-Eur can be used to run multiple scenarios using the `wildcards feature
-<https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards>`__
-of ``snakemake``. Wildcards allow to generalise a rule to produce all files that
-follow a `regular expression
-<https://en.wikipedia.org/wiki/Regular_expression>`__ pattern, which defines
-a particular scenario. One can think of a wildcard as a parameter that shows
-up in the input/output file names and thereby determines which rules to run,
-what data to retrieve and what files to produce. Details are explained in
-:ref:`wildcards` and :ref:`scenario`.
-
-The model also has several further configuration options collected in the
-``config/config.default.yaml`` file located in the root directory, which can be
-handled with another scenario management. Options are explained in
-:ref:`config`.
-
-Folder Structure
-================
-
-- ``scripts``: Includes all the Python scripts executed by the ``snakemake`` rules.
-- ``rules``: Includes all the ``snakemake`` rules loaded in the ``Snakefile``.
-- ``envs``: Includes option ``conda`` environment specifications to run the workflow (using ``pixi`` instead is our recommended approach).
-- ``data``: Includes input data that is not produced by any ``snakemake`` rule.
-- ``cutouts``: Stores raw weather data cutouts from ``atlite``.
-- ``resources``: Stores intermediate results of the workflow which can be picked up again by subsequent rules.
-- ``results``: Stores the solved PyPSA network data, summary files and plots.
-- ``logs``: Stores log files.
-- ``benchmarks``: Stores ``snakemake`` benchmarks.
-- ``doc``: Includes the documentation of PyPSA-Eur.
-- ``docker``: Includes some optional Docker environments.
-
-System Requirements
-===================
-
-Building the model with the scripts in this repository runs on a regular computer.
-But optimising for investment and operation decisions across many scenarios requires a strong interior-point solver
-like `Gurobi <http://www.gurobi.com/>`__ or `CPLEX <https://www.ibm.com/analytics/cplex-optimizer>`__ with more memory.
-Open-source solvers like `HiGHS <https://highs.dev>` can also be used for smaller problems.
diff --git a/doc/licenses.md b/doc/licenses.md
new file mode 100644
index 0000000000..2cbaa5d61c
--- /dev/null
+++ b/doc/licenses.md
@@ -0,0 +1,27 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Licenses
+
+Open-TYNDP is a research and innovation project created by [Open Energy Transition (OET)](https://www.openenergytransition.org/).
+It is an open-source soft-fork of [PyPSA-Eur](https://github.com/pypsa/pypsa-eur), extended with custom source code, documentation, data and configuration.
+
+The licensing of the Open-TYNDP project follows a similar approach to PyPSA-Eur and is released under multiple licenses:
+
+* Modified source code is licensed as free software under [MIT](LICENSES/MIT.txt) with attribution to OET and its authors.
+* Modifications to the original documentation are licensed under [CC-BY-4.0](LICENSES/CC-BY-4.0.txt) with attribution to OET and its authors.
+* Modifications to the original configuration files are licensed under [CC0-1.0](LICENSES/CC0-1.0.txt) with attribution to OET and its authors.
+* Additional data sources are the TYNDP 2024 Scenarios that are licensed under [CC-BY-4.0](LICENSES/CC-BY-4.0.txt) by ENTSO-E and ENTSOG (see [tyndp_2024](tyndp_2024.md)).
+
+The original PyPSA-Eur model is released under multiple licenses:
+
+* All original source code is licensed as free software under [MIT](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/MIT.txt).
+* The documentation is licensed under [CC-BY-4.0](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/CC-BY-4.0.txt).
+* Configuration files are mostly licensed under [CC0-1.0](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/CC0-1.0.txt).
+* Data files are licensed under [CC-BY-4.0](https://github.com/pypsa/pypsa-eur/blob/master/LICENSES/CC-BY-4.0.txt).
+
+For easier licensing, the Open-TYNDP and PyPSA-Eur repositories use [REUSE by the FSFE](https://reuse.software/).
+You can find the specific licenses for each file in their SPDX identifiers or in the [REUSE.toml](https://github.com/pypsa/pypsa-eur/blob/master/REUSE.toml) file.
+
+Additionally, different licenses and terms of use also apply to the various input data that are not part of the repository (see [Data Sources](data_sources.md)).
diff --git a/doc/licenses.rst b/doc/licenses.rst
deleted file mode 100644
index 9f726bd1b5..0000000000
--- a/doc/licenses.rst
+++ /dev/null
@@ -1,30 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Licenses
-##########################################
-
-Open-TYNDP is a research and innovation project created by `Open Energy Transition (OET) <https://www.openenergytransition.org/>`__.
-It is an open-source soft-fork of `PyPSA-Eur <https://github.com/pypsa/pypsa-eur>`__, extended with custom source code, documentation, data and configuration.
-
-The licensing of the Open-TYNDP project follows a similar approach to PyPSA-Eur and is released under multiple licenses:
-
-* Modified source code is licensed as free software under `MIT <LICENSES/MIT.txt>`__ with attribution to OET and its authors.
-* Modifications to the original documentation are licensed under `CC-BY-4.0 <LICENSES/CC-BY-4.0.txt>`__ with attribution to OET and its authors.
-* Modifications to the original configuration files are licensed under `CC0-1.0 <LICENSES/CC0-1.0.txt>`__ with attribution to OET and its authors.
-* Additional data sources are the TYNDP 2024 Scenarios that are licensed under `CC-BY-4.0 <LICENSES/CC-BY-4.0.txt>`__ by ENTSO-E and ENTSOG (see :doc:`tyndp_2024`).
-
-The original PyPSA-Eur model is released under multiple licenses:
-
-* All original source code is licensed as free software under `MIT <LICENSES/MIT.txt>`__.
-* The documentation is licensed under `CC-BY-4.0 <LICENSES/CC-BY-4.0.txt>`__.
-* Configuration files are mostly licensed under `CC0-1.0 <LICENSES/CC0-1.0.txt>`__.
-* Data files are licensed under `CC-BY-4.0 <LICENSES/CC-BY-4.0.txt>`__.
-
-For easier licensing, the Open-TYNDP and PyPSA-Eur repositories use `REUSE by the FSFE <https://reuse.software/>`__.
-You can find the specific licenses for each file in their SPDX identifiers or in the `REUSE.toml <REUSE.toml>`__ file.
-
-Additionally, different licenses and terms of use also apply to the various input data that are not part of the repository (see :doc:`data_sources`).
diff --git a/doc/limitations.rst b/doc/limitations.md
similarity index 79%
rename from doc/limitations.rst
rename to doc/limitations.md
index d7561d95c9..68d41565c7 100644
--- a/doc/limitations.rst
+++ b/doc/limitations.md
@@ -1,27 +1,22 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Limitations
-##########################################
+# Limitations
 
-.. warning::
+!!! warning
+    This list of limitations is incomplete and will be added to over time.
 
-  This list of limitations is incomplete and will be added to over time.
+## Limitations of the TYNDP
 
-Limitations of the TYNDP
-=========
 The Ten-Year Network Development Plan is subject to several assumptions and modelling simplifications that are crucial to the optimization results.
 The Open-TYNDP project does not aim to change or improve any of the existing TYNDP methodology but to rather reproduce it.
-For a comprehensive overview of the TYNDP modelling methodology and its limitations refer to the `2024 TYNDP Scenarios Methodology Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf>`__.
+For a comprehensive overview of the TYNDP modelling methodology and its limitations refer to the [2024 TYNDP Scenarios Methodology Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf).
 
-.. seealso::
-  Refer also to the current `development status <https://open-tyndp.readthedocs.io/en/latest/index.html#development-status>`__ of the Open-TYNDP project for an overview of currently implemented and missing features.
+!!! note "See also"
+    Refer also to the current [development status](https://open-tyndp.readthedocs.io/en/latest/index.html#development-status) of the Open-TYNDP project for an overview of currently implemented and missing features.
 
-Limitations of PyPSA-Eur
-=========
+## Limitations of PyPSA-Eur
 
 While the benefit of an openly available, functional and partially validated
 model of the European energy system is high, many approximations have
@@ -30,8 +25,7 @@ The limitations of the dataset are listed below,
 both as a warning to the user and as an encouragement to assist in
 improving the approximations.
 
-.. seealso::
-  See also the `GitHub repository issues <https://github.com/pypsa/pypsa-eur/issues>`__.
+See also the [GitHub repository issues](https://github.com/PyPSA/pypsa-eur/issues).
 
 - **Electricity transmission network topology:**
   The grid data is based on a map of the ENTSO-E area that is known
diff --git a/doc/macros.py b/doc/macros.py
new file mode 100644
index 0000000000..613baa49be
--- /dev/null
+++ b/doc/macros.py
@@ -0,0 +1,141 @@
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: MIT
+
+import json
+import re
+from functools import lru_cache
+from pathlib import Path
+
+import yaml
+
+ROOT = Path(__file__).resolve().parents[1]
+CONFIG_PATH = ROOT / "config" / "config.default.yaml"
+PLOTTING_CONFIG_PATH = ROOT / "config" / "plotting.default.yaml"
+SCHEMA_PATH = ROOT / "config" / "schema.default.json"
+
+
+def _dump(node):
+    text = yaml.safe_dump(node, sort_keys=False, default_flow_style=False, width=4096)
+    return text.rstrip("\n")
+
+
+def _schema_type(prop):
+    if "enum" in prop:
+        return "enum (" + ", ".join(f"`{e}`" for e in prop["enum"]) + ")"
+    if "anyOf" in prop:
+        return " \\| ".join(_schema_type(b) for b in prop["anyOf"])
+    t = prop.get("type")
+    if t == "array":
+        return "list of " + _schema_type(prop.get("items", {}))
+    if "properties" in prop:
+        return "any"
+    if t == "object":
+        ap = prop.get("additionalProperties")
+        return f"dict (str -> {_schema_type(ap)})" if isinstance(ap, dict) else "object"
+    if isinstance(t, list):
+        return " \\| ".join(t)
+    return t or "any"
+
+
+def _schema_default(prop):
+    d = prop.get("default")
+    if "default" not in prop or d is None:
+        return ""
+    if isinstance(d, bool):
+        return "`true`" if d else "`false`"
+    return '`""`' if d == "" else f"`{d}`"
+
+
+def _schema_desc(prop):
+    # collapse RST inline literals/roles left in plain descriptions to markdown
+    d = prop.get("markdownDescription", prop.get("description", ""))
+    return re.sub(r":math:`([^`]+)`|``([^`]+)``", lambda m: f"`{m[1] or m[2]}`", d)
+
+
+def _schema_children(prop):
+    branches = prop.get("anyOf", [prop])
+    return next((b["properties"] for b in branches if "properties" in b), None)
+
+
+def _schema_rows(props, depth=0):
+    prefix = "↳" * depth + (" " if depth else "")
+    rows = []
+    for key, prop in props.items():
+        rows.append(
+            f"| {prefix}`{key}` | {_schema_type(prop)} | "
+            f"{_schema_default(prop)} | {_schema_desc(prop)} |"
+        )
+        children = _schema_children(prop)
+        if children:
+            rows += _schema_rows(children, depth + 1)
+    return rows
+
+
+@lru_cache(maxsize=1)
+def _schema():
+    return json.loads(SCHEMA_PATH.read_text())
+
+
+def _resolve(data, path):
+    node = data
+    for part in path:
+        node = node[part]
+    return node
+
+
+def define_env(env):
+    _cache = {}
+
+    def _load(source):
+        if source not in _cache:
+            if source == "plotting":
+                path = PLOTTING_CONFIG_PATH
+            elif source == "config":
+                path = CONFIG_PATH
+            else:
+                path = ROOT / "config" / source
+            _cache[source] = yaml.safe_load(path.read_text())
+        return _cache[source]
+
+    @env.macro
+    def schema_table(path):
+        """Render the config schema at ``path`` as a Property/Type/Default/Description table."""
+        node = _schema()
+        for part in path.split("."):
+            node = node["properties"][part]
+        props = node.get("properties", {})
+        if not props:
+            raise ValueError(f"schema path '{path}' has no properties to tabulate")
+        header = (
+            "| Property | Type | Default | Description |\n"
+            "|----------|------|---------|-------------|"
+        )
+        return header + "\n" + "\n".join(_schema_rows(props))
+
+    @env.macro
+    def yaml_section(*paths, source="config", with_key=True):
+        data = _load(source)
+
+        if not paths:
+            return _dump(data)
+
+        parts_list = [p.split(".") for p in paths]
+
+        if len(paths) == 1:
+            parts = parts_list[0]
+            node = _resolve(data, parts)
+            if with_key:
+                return _dump({parts[-1]: node})
+            return _dump(node)
+
+        parents = {tuple(p[:-1]) for p in parts_list}
+        if len(parents) != 1:
+            raise ValueError("paths must share a common parent")
+        parent_path = list(parents.pop())
+        children = [p[-1] for p in parts_list]
+        parent_node = _resolve(data, parent_path)
+        subset = {ck: parent_node[ck] for ck in children}
+        if with_key and parent_path:
+            return _dump({parent_path[-1]: subset})
+        return _dump(subset)
diff --git a/doc/make.bat b/doc/make.bat
deleted file mode 100644
index 64f7f0b716..0000000000
--- a/doc/make.bat
+++ /dev/null
@@ -1,266 +0,0 @@
-REM SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-REM SPDX-License-Identifier: MIT
-
-@ECHO OFF
-
-REM Command file for Sphinx documentation
-
-if "%SPHINXBUILD%" == "" (
-	set SPHINXBUILD=sphinx-build
-)
-set BUILDDIR=_build
-set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% .
-set I18NSPHINXOPTS=%SPHINXOPTS% .
-if NOT "%PAPER%" == "" (
-	set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS%
-	set I18NSPHINXOPTS=-D latex_paper_size=%PAPER% %I18NSPHINXOPTS%
-)
-
-if "%1" == "" goto help
-
-if "%1" == "help" (
-	:help
-	echo.Please use `make ^<target^>` where ^<target^> is one of
-	echo.  html       to make standalone HTML files
-	echo.  dirhtml    to make HTML files named index.html in directories
-	echo.  singlehtml to make a single large HTML file
-	echo.  pickle     to make pickle files
-	echo.  json       to make JSON files
-	echo.  htmlhelp   to make HTML files and a HTML help project
-	echo.  qthelp     to make HTML files and a qthelp project
-	echo.  devhelp    to make HTML files and a Devhelp project
-	echo.  epub       to make an epub
-	echo.  latex      to make LaTeX files, you can set PAPER=a4 or PAPER=letter
-	echo.  text       to make text files
-	echo.  man        to make manual pages
-	echo.  texinfo    to make Texinfo files
-	echo.  gettext    to make PO message catalogs
-	echo.  changes    to make an overview over all changed/added/deprecated items
-	echo.  xml        to make Docutils-native XML files
-	echo.  pseudoxml  to make pseudoxml-XML files for display purposes
-	echo.  linkcheck  to check all external links for integrity
-	echo.  doctest    to run all doctests embedded in the documentation if enabled
-	echo.  coverage   to run coverage check of the documentation if enabled
-	goto end
-)
-
-if "%1" == "clean" (
-	for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i
-	del /q /s %BUILDDIR%\*
-	goto end
-)
-
-
-REM Check if sphinx-build is available and fallback to Python version if any
-%SPHINXBUILD% 1>NUL 2>NUL
-if errorlevel 9009 goto sphinx_python
-goto sphinx_ok
-
-:sphinx_python
-
-set SPHINXBUILD=python -m sphinx.__init__
-%SPHINXBUILD% 2> nul
-if errorlevel 9009 (
-	echo.
-	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
-	echo.installed, then set the SPHINXBUILD environment variable to point
-	echo.to the full path of the 'sphinx-build' executable. Alternatively you
-	echo.may add the Sphinx directory to PATH.
-	echo.
-	echo.If you don't have Sphinx installed, grab it from
-	echo.http://sphinx-doc.org/
-	exit /b 1
-)
-
-:sphinx_ok
-
-
-if "%1" == "html" (
-	%SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/html.
-	goto end
-)
-
-if "%1" == "dirhtml" (
-	%SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml.
-	goto end
-)
-
-if "%1" == "singlehtml" (
-	%SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml.
-	goto end
-)
-
-if "%1" == "pickle" (
-	%SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can process the pickle files.
-	goto end
-)
-
-if "%1" == "json" (
-	%SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can process the JSON files.
-	goto end
-)
-
-if "%1" == "htmlhelp" (
-	%SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can run HTML Help Workshop with the ^
-.hhp project file in %BUILDDIR%/htmlhelp.
-	goto end
-)
-
-if "%1" == "qthelp" (
-	%SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can run "qcollectiongenerator" with the ^
-.qhcp project file in %BUILDDIR%/qthelp, like this:
-	echo.^> qcollectiongenerator %BUILDDIR%\qthelp\PyPSA.qhcp
-	echo.To view the help file:
-	echo.^> assistant -collectionFile %BUILDDIR%\qthelp\PyPSA.ghc
-	goto end
-)
-
-if "%1" == "devhelp" (
-	%SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished.
-	goto end
-)
-
-if "%1" == "epub" (
-	%SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The epub file is in %BUILDDIR%/epub.
-	goto end
-)
-
-if "%1" == "latex" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; the LaTeX files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "latexpdf" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	cd %BUILDDIR%/latex
-	make all-pdf
-	cd %~dp0
-	echo.
-	echo.Build finished; the PDF files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "latexpdfja" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	cd %BUILDDIR%/latex
-	make all-pdf-ja
-	cd %~dp0
-	echo.
-	echo.Build finished; the PDF files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "text" (
-	%SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The text files are in %BUILDDIR%/text.
-	goto end
-)
-
-if "%1" == "man" (
-	%SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The manual pages are in %BUILDDIR%/man.
-	goto end
-)
-
-if "%1" == "texinfo" (
-	%SPHINXBUILD% -b texinfo %ALLSPHINXOPTS% %BUILDDIR%/texinfo
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The Texinfo files are in %BUILDDIR%/texinfo.
-	goto end
-)
-
-if "%1" == "gettext" (
-	%SPHINXBUILD% -b gettext %I18NSPHINXOPTS% %BUILDDIR%/locale
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The message catalogs are in %BUILDDIR%/locale.
-	goto end
-)
-
-if "%1" == "changes" (
-	%SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.The overview file is in %BUILDDIR%/changes.
-	goto end
-)
-
-if "%1" == "linkcheck" (
-	%SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Link check complete; look for any errors in the above output ^
-or in %BUILDDIR%/linkcheck/output.txt.
-	goto end
-)
-
-if "%1" == "doctest" (
-	%SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Testing of doctests in the sources finished, look at the ^
-results in %BUILDDIR%/doctest/output.txt.
-	goto end
-)
-
-if "%1" == "coverage" (
-	%SPHINXBUILD% -b coverage %ALLSPHINXOPTS% %BUILDDIR%/coverage
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Testing of coverage in the sources finished, look at the ^
-results in %BUILDDIR%/coverage/python.txt.
-	goto end
-)
-
-if "%1" == "xml" (
-	%SPHINXBUILD% -b xml %ALLSPHINXOPTS% %BUILDDIR%/xml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The XML files are in %BUILDDIR%/xml.
-	goto end
-)
-
-if "%1" == "pseudoxml" (
-	%SPHINXBUILD% -b pseudoxml %ALLSPHINXOPTS% %BUILDDIR%/pseudoxml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The pseudo-XML files are in %BUILDDIR%/pseudoxml.
-	goto end
-)
-
-:end
diff --git a/doc/oetc.md b/doc/oetc.md
new file mode 100644
index 0000000000..444e098462
--- /dev/null
+++ b/doc/oetc.md
@@ -0,0 +1,82 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# OETC Integration
+
+The OETC platform allows PyPSA-Eur to leverage cloud-based resources for
+solving energy system models. This integration enables solving of optimization problems
+using remote compute resources when local computational capacity is insufficient.
+
+!!! note
+
+    Using OETC is **optional** and not required to run PyPSA-Eur.
+
+## Overview {#oetc_overview}
+
+OETC provides a cloud-based optimization service that can handle PyPSA networks by:
+
+- Offloading optimization tasks to remote compute resources
+- Supporting various solvers (Highs, Gurobi, etc.) on cloud infrastructure
+- Automatically managing authentication and resource allocation
+- Providing configurable compute resources (CPU cores, disk space)
+
+The integration is implemented through the `linopy.oetc` module and is configured
+within the PyPSA-Eur solving configuration.
+
+## Setup and Authentication {#oetc_setup}
+
+To use OETC with PyPSA-Eur, you need to:
+
+1. **Set up environment variables** for authentication based on your OETC credentials:
+
+   ```bash
+   export OETC_EMAIL="your-email@example.com"
+   export OETC_PASSWORD="your-password"
+   ```
+
+2. **Configure OETC settings** in your configuration file (see [Configuration](#oetc_config)).
+
+## Configuration {#oetc_config}
+
+OETC integration is configured within the `solving` section of your configuration file.
+Add an `oetc` subsection to enable cloud-based optimization:
+
+```yaml
+solving:
+  # ... other solving options ...
+  oetc:
+    name: "job-name" # Arbitrary human readable job identifier
+    authentication_server_url: "https://auth.oetc.example.com"
+    orchestrator_server_url: "https://orchestrator.oetc.example.com"
+    compute_provider: "GCP"  # Currently only GCP is supported
+    cpu_cores: 4 # This also sets the amount of RAM by a factor 8
+    disk_space_gb: 20
+```
+
+!!! note
+
+    The `solver` and `solver_options` are automatically passed from the main
+    solving configuration and do not need to be specified in the OETC section.
+
+## Usage {#oetc_usage}
+
+Once configured, OETC integration works transparently with the standard PyPSA-Eur
+workflow. If a oetc configuration is present, PyPSA-Eur will automatically use
+the OETC platform for the model optimization during the solve network rule.
+
+An example of a log entry when using OETC:
+
+```
+INFO:linopy.oetc:OETC - Signing in...
+INFO:linopy.oetc:OETC - Signed in
+INFO:linopy.oetc:OETC - Fetching user GCP credentials...
+INFO:linopy.oetc:OETC - Fetched user GCP credentials
+INFO:linopy.oetc:OETC - Submitting compute job...
+INFO:linopy.oetc:OETC - Compute job 992616b6-0f24-4ab5-8675-ba8098d795fa started
+INFO:linopy.oetc:OETC - Waiting for job 992616b6-0f24-4ab5-8675-ba8098d795fa to complete...
+INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 30 seconds...
+INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 45 seconds...
+INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa completed successfully!
+INFO:linopy.oetc:OETC - Model solved successfully. Status: ok
+INFO:linopy.oetc:OETC - Objective value: 3.11e+07
+```
diff --git a/doc/oetc.rst b/doc/oetc.rst
deleted file mode 100644
index 291d06dafc..0000000000
--- a/doc/oetc.rst
+++ /dev/null
@@ -1,96 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-.. SPDX-FileCopyrightText: Open Energy Transition gGmbH
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-OETC Integration
-##########################################
-
-The OETC platform allows PyPSA-Eur to leverage cloud-based resources for
-solving energy system models. This integration enables solving of optimization problems
-using remote compute resources when local computational capacity is insufficient.
-
-.. note::
-
-   Using OETC is **optional** and not required to run PyPSA-Eur.
-
-.. _oetc_overview:
-
-Overview
-========
-
-OETC provides a cloud-based optimization service that can handle PyPSA networks by:
-
-- Offloading optimization tasks to remote compute resources
-- Supporting various solvers (Highs, Gurobi, etc.) on cloud infrastructure
-- Automatically managing authentication and resource allocation
-- Providing configurable compute resources (CPU cores, disk space)
-
-The integration is implemented through the ``linopy.oetc`` module and is configured
-within the PyPSA-Eur solving configuration.
-
-.. _oetc_setup:
-
-Setup and Authentication
-========================
-
-To use OETC with PyPSA-Eur, you need to:
-
-1. **Set up environment variables** for authentication based on your OETC credentials:
-
-   .. code:: bash
-
-       export OETC_EMAIL="your-email@example.com"
-       export OETC_PASSWORD="your-password"
-
-2. **Configure OETC settings** in your configuration file (see :ref:`oetc_config`).
-
-.. _oetc_config:
-
-Configuration
-=============
-
-OETC integration is configured within the ``solving`` section of your configuration file.
-Add an ``oetc`` subsection to enable cloud-based optimization:
-
-.. code:: yaml
-
-    solving:
-      # ... other solving options ...
-      oetc:
-        name: "job-name" # Arbitrary human readable job identifier
-        authentication_server_url: "https://auth.oetc.example.com"
-        orchestrator_server_url: "https://orchestrator.oetc.example.com"
-        compute_provider: "GCP"  # Currently only GCP is supported
-        cpu_cores: 4 # This also sets the amount of RAM by a factor 8
-        disk_space_gb: 20
-
-.. note::
-
-   The ``solver`` and ``solver_options`` are automatically passed from the main
-   solving configuration and do not need to be specified in the OETC section.
-
-.. _oetc_usage:
-
-Usage
-=====
-
-Once configured, OETC integration works transparently with the standard PyPSA-Eur
-workflow. If a oetc configuration is present, PyPSA-Eur will automatically use
-the OETC platform for the model optimization during the solve network rule.
-
-An example of a log entry when using OETC:
-.. code::
-    INFO:linopy.oetc:OETC - Signing in...
-    INFO:linopy.oetc:OETC - Signed in
-    INFO:linopy.oetc:OETC - Fetching user GCP credentials...
-    INFO:linopy.oetc:OETC - Fetched user GCP credentials
-    INFO:linopy.oetc:OETC - Submitting compute job...
-    INFO:linopy.oetc:OETC - Compute job 992616b6-0f24-4ab5-8675-ba8098d795fa started
-    INFO:linopy.oetc:OETC - Waiting for job 992616b6-0f24-4ab5-8675-ba8098d795fa to complete...
-    INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 30 seconds...
-    INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa status: PENDING, checking again in 45 seconds...
-    INFO:linopy.oetc:OETC - Job 992616b6-0f24-4ab5-8675-ba8098d795fa completed successfully!
-    INFO:linopy.oetc:OETC - Model solved successfully. Status: ok
-    INFO:linopy.oetc:OETC - Objective value: 3.11e+07
diff --git a/doc/plotting.md b/doc/plotting.md
new file mode 100644
index 0000000000..09379f3329
--- /dev/null
+++ b/doc/plotting.md
@@ -0,0 +1,130 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Plotting and Summaries
+
+
+## Rule `make_summary`
+
+::: make_summary
+
+
+## Rule `make_global_summary`
+
+::: make_global_summary
+
+## Rule `make_cumulative_costs`
+
+::: make_cumulative_costs
+
+## Rule `plot_summary` {#summary_plot}
+
+::: plot_summary
+
+## Rule `plot_base_network`
+
+::: plot_base_network
+
+## Rule `plot_base_offshore_network`
+
+::: plot_offshore_network
+
+## Rule `plot_offshore_network`
+
+::: plot_offshore_network
+
+## Rule `plot_power_network_clustered`
+
+::: plot_power_network_clustered
+
+
+
+## Rule `plot_power_network` {#map_plot}
+
+::: plot_power_network
+
+## Rule `plot_power_network_perfect`
+
+::: plot_power_network_perfect
+
+## Rule `plot_base_hydrogen_network`
+
+::: plot_base_hydrogen_network
+
+## Rule `plot_hydrogen_network`
+
+::: plot_hydrogen_network
+
+## Rule `plot_gas_network`
+
+::: plot_gas_network
+
+## Rule `plot_balance_map`
+
+::: plot_balance_map
+
+## Rule `plot_heat_source_map`
+
+::: plot_heat_source_map
+
+## Rule `plot_balance_timeseries`
+
+::: plot_balance_timeseries
+
+## Rule `plot_heatmap_timeseries`
+
+::: plot_heatmap_timeseries
+
+## Rule `plot_base_statistics`
+
+<!-- ::: plot_base_statistics (module not found) -->
+
+## Rule `build_ambient_air_temperature_yearly_average`
+
+::: build_ambient_air_temperature_yearly_average
+
+## Rule `plot_cop_profiles`
+
+<!-- ::: plot_cop_profiles (directory module, not importable) -->
+
+## Rule `plot_interactive_bus_balance`
+
+::: plot_interactive_bus_balance
+
+## Rule `clean_tyndp_output_benchmark`
+
+::: clean_tyndp_output_benchmark
+
+## Rule `clean_tyndp_report_benchmark`
+
+::: clean_tyndp_report_benchmark
+
+## Rule `clean_tyndp_vp_data`
+
+::: clean_tyndp_vp_data
+
+## Rule `build_statistics`
+
+::: build_statistics
+
+## Rule `make_benchmark`
+
+::: make_benchmark
+
+## Rule `plot_benchmark`
+
+::: plot_benchmark
+
+## Rule `launch_explorer`
+
+::: launch_explorer
+
+## Rule `launch_presolved_explorer`
+
+Mirrors the `launch_explorer` rule to launch the `PyPSA-Explorer` web interface with pre-solved SB networks from previous Open-TYNDP release runs.
+
+## Rule `close_explorers`
+
+Closes all open local instances of launched PyPSA-Explorers and frees up used ports again.
diff --git a/doc/plotting.rst b/doc/plotting.rst
deleted file mode 100644
index 3f38f8f3b0..0000000000
--- a/doc/plotting.rst
+++ /dev/null
@@ -1,162 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Plotting and Summaries
-##########################################
-
-
-Rule ``make_summary``
-========================
-
-.. automodule:: make_summary
-
-
-Rule ``make_global_summary``
-========================
-
-.. automodule:: make_global_summary
-
-Rule ``make_cumulative_costs``
-==============================
-
-.. automodule:: make_cumulative_costs
-
-.. _summary_plot:
-
-Rule ``plot_summary``
-========================
-
-.. automodule:: plot_summary
-
-Rule ``plot_base_network``
-=================================================
-
-.. automodule:: plot_base_network
-
-Rule ``plot_base_offshore_network``
-=================================================
-
-.. automodule:: plot_base_offshore_network
-
-Rule ``plot_offshore_network``
-=================================================
-
-.. automodule:: plot_base_offshore_network
-
-Rule ``plot_power_network_clustered``
-=================================================
-
-.. automodule:: plot_power_network_clustered
-
-
-
-.. _map_plot:
-
-Rule ``plot_power_network``
-===========================
-
-.. automodule:: plot_power_network
-
-Rule ``plot_power_network_perfect``
-===================================
-
-.. automodule:: plot_power_network_perfect
-
-Rule ``plot_base_hydrogen_network``
-=========================
-
-.. automodule:: plot_base_hydrogen_network
-
-Rule ``plot_hydrogen_network``
-==============================
-
-.. automodule:: plot_hydrogen_network
-
-Rule ``plot_gas_network``
-=========================
-
-.. automodule:: plot_gas_network
-
-Rule ``plot_balance_map``
-=================================
-
-.. automodule:: plot_balance_map
-
-Rule ``plot_heat_source_map``
-=================================
-
-.. automodule:: plot_heat_source_map
-
-Rule ``plot_balance_timeseries``
-=================================
-
-.. automodule:: plot_balance_timeseries
-
-Rule ``plot_heatmap_timeseries``
-=================================
-
-.. automodule:: plot_heatmap_timeseries
-
-Rule ``plot_base_statistics``
-=================================
-
-.. automodule:: plot_base_statistics
-
-Rule ``build_ambient_air_temperature_yearly_average``
-======================================================
-
-.. automodule:: build_ambient_air_temperature_yearly_average
-
-Rule ``plot_cop_profiles``
-===========================
-
-.. automodule:: plot_cop_profiles
-
-Rule ``plot_interactive_bus_balance``
-======================================
-
-.. automodule:: plot_interactive_bus_balance
-
-Rule ``clean_tyndp_benchmark``
-======================================
-
-.. automodule:: clean_tyndp_benchmark
-
-Rule ``clean_tyndp_vp_data``
-======================================
-
-.. automodule:: clean_tyndp_vp_data
-
-Rule ``build_statistics``
-======================================
-
-.. automodule:: build_statistics
-
-Rule ``make_benchmark``
-======================================
-
-.. automodule:: make_benchmark
-
-Rule ``plot_benchmark``
-======================================
-
-.. automodule:: plot_benchmark
-
-Rule ``launch_explorer``
-======================================
-
-.. automodule:: launch_explorer
-
-Rule ``launch_presolved_explorer``
-======================================
-
-Mirrors the ``launch_explorer`` rule to launch the ``PyPSA-Explorer`` web interface with pre-solved SB networks from previous Open-TYNDP release runs.
-
-Rule ``close_explorers``
-======================================
-
-Closes all open local instances of launched PyPSA-Explorers and frees up used ports again.
-
diff --git a/doc/preparation.md b/doc/preparation.md
new file mode 100644
index 0000000000..96889a685b
--- /dev/null
+++ b/doc/preparation.md
@@ -0,0 +1,201 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Building Electricity Networks
+
+The preparation process of the PyPSA-Eur energy system model consists of a group of `snakemake`
+rules which are briefly outlined and explained in detail in the sections below.
+
+Not all data dependencies are shipped with the git repository.
+Instead we provide separate data bundles which can be obtained
+using the `retrieve*` rules ([Retrieving Data](retrieve.md)).
+Having downloaded the necessary data, it can build a base PyPSA network with the following rules
+
+- [build_shapes][] generates GeoJSON files with shapes of the countries, exclusive economic zones and [NUTS3](https://en.wikipedia.org/wiki/Nomenclature_of_Territorial_Units_for_Statistics) areas.
+- [base_network][] builds and stores the base network with all buses, HVAC lines and HVDC links, and determines [Voronoi cells](https://en.wikipedia.org/wiki/Voronoi_diagram) for all substations.
+
+The network is then simplified by preparing **approximations** of the network model, for which it is computationally viable to co-optimize generation, storage and transmission capacities.
+
+
+- [simplify_network][] transforms the transmission grid to a 380 kV only equivalent network, while
+- [cluster_network][] uses a [k-means](https://en.wikipedia.org/wiki/K-means_clustering) based clustering technique to partition the network into a given number of zones and then reduce the network to a representation with one bus per zone.
+
+The simplification and clustering steps are described in detail in the paper
+
+- Jonas Hörsch and Tom Brown. [The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios](https://arxiv.org/abs/1705.07617)), *14th International Conference on the European Energy Market*, 2017. [arXiv:1705.07617](https://arxiv.org/abs/1705.07617), [doi:10.1109/EEM.2017.7982024](https://doi.org/10.1109/EEM.2017.7982024).
+
+Then, the process continues by calculating conventional power plant capacities, potentials, and per-unit availability time series for variable renewable energy carriers and hydro power plants with the following rules:
+
+- [build_powerplants][] for today's thermal power plant capacities using [powerplantmatching](https://github.com/PyPSA/powerplantmatching) allocating these to the matching clustered region for each powerplant,
+- [determine_availability_matrix][] for the land eligibility analysis of each cutout grid cell for PV, onshore and offshore wind,
+- [build_renewable_profiles][] for the hourly capacity factors and installation potentials constrained by land-use in each substation's Voronoi cell for PV, onshore and offshore wind, and
+- [build_hydro_profile][] for the hourly per-unit hydro power availability time series.
+
+The rules [add_electricity][] and [prepare_network][] then tie all the different data inputs
+together into a detailed PyPSA network stored in `networks/base_s_{clusters}_elec.nc`.
+
+## Rule `build_cutout` {#cutout}
+
+::: build_cutout
+
+
+## Rule `build_osm_boundaries`
+
+::: build_osm_boundaries
+
+## Rule `clean_osm_data`
+
+::: clean_osm_data
+
+
+## Rule `build_osm_network`
+
+::: build_osm_network
+
+## Rule `build_tyndp_network`
+
+::: build_tyndp_network
+
+## Rule `base_network` {#base}
+
+::: base_network
+
+## Rule `build_natura`
+
+::: build_natura
+
+
+## Rule `build_transmission_projects`
+
+::: build_transmission_projects
+
+## Rule `build_line_rating`
+
+::: build_line_rating
+
+## Rule `add_transmission_projects_and_dlr`
+
+::: add_transmission_projects_and_dlr
+
+## Rule `build_bidding_zones`
+
+::: build_bidding_zones
+
+## Rule `build_shapes` {#shapes}
+
+::: build_shapes
+
+
+## Rule `build_electricity_demand_base`
+
+::: build_electricity_demand_base
+
+## Rule `build_electricity_demand_base_tyndp`
+
+::: build_electricity_demand_base
+
+## Rule `build_electricity_demand` {#electricity_demand}
+
+::: build_electricity_demand
+
+## Rule `build_electricity_demand_tyndp`
+
+::: build_electricity_demand
+
+## Rule `build_hac_features`
+
+::: build_hac_features
+
+## Rule `simplify_network` {#simplify}
+
+::: simplify_network
+
+## Rule `cluster_network` {#cluster}
+
+::: cluster_network
+
+
+## Rule `build_monthly_prices` {#monthlyprices}
+
+::: build_monthly_prices
+
+## Rule `build_ship_raster` {#ship}
+
+::: build_ship_raster
+
+## Rule `determine_availability_matrix_MD_UA` {#availabilitymatrixmdua}
+
+::: determine_availability_matrix_MD_UA
+
+
+## Rule `determine_availability_matrix` {#renewableprofiles}
+
+::: determine_availability_matrix
+
+
+## Rule `build_renewable_profiles`
+
+::: build_renewable_profiles
+
+
+## Rule `build_hydro_profile` {#hydroprofiles}
+
+::: build_hydro_profile
+
+## Rule `build_powerplants` {#powerplants}
+
+::: build_powerplants
+
+## Rule `add_electricity` {#electricity}
+
+::: add_electricity
+
+## Rule `prepare_network` {#prepare}
+
+::: prepare_network
+
+## Rule `prepare_pecd_release`
+
+::: prepare_pecd_release
+
+## Rule `clean_pecd_data`
+
+::: clean_pecd_data
+
+## Rule `build_renewable_profiles_pecd`
+
+::: build_renewable_profiles_pecd
+
+## Rule `clean_tyndp_hydro_inflows`
+
+::: clean_tyndp_hydro_inflows
+
+## Rule `build_tyndp_hydro_profile`
+
+::: build_tyndp_hydro_profile
+
+## Rule `build_pemmdb_data`
+
+::: build_pemmdb_data
+
+## Rule `build_tyndp_transmission_projects`
+
+::: build_tyndp_transmission_projects
+
+## Rule `build_tyndp_trajectories`
+
+::: build_tyndp_trajectories
+
+## Rule `clean_tyndp_electricity_demand`
+
+::: clean_tyndp_electricity_demand
+
+## Rule `clean_tyndp_smr`
+
+::: clean_tyndp_smr
+
+## Rule `clean_tyndp_h2_storages`
+
+::: clean_tyndp_h2_storages
diff --git a/doc/preparation.rst b/doc/preparation.rst
deleted file mode 100644
index 56dde62c49..0000000000
--- a/doc/preparation.rst
+++ /dev/null
@@ -1,272 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Building Electricity Networks
-##########################################
-
-The preparation process of the PyPSA-Eur energy system model consists of a group of ``snakemake``
-rules which are briefly outlined and explained in detail in the sections below.
-
-Not all data dependencies are shipped with the git repository.
-Instead we provide separate data bundles which can be obtained
-using the ``retrieve*`` rules (:ref:`data`).
-Having downloaded the necessary data, it can build a base PyPSA network with the following rules
-
-- :mod:`build_shapes` generates GeoJSON files with shapes of the countries, exclusive economic zones and `NUTS3 <https://en.wikipedia.org/wiki/Nomenclature_of_Territorial_Units_for_Statistics>`__ areas.
-- :mod:`base_network` builds and stores the base network with all buses, HVAC lines and HVDC links, and determines `Voronoi cells <https://en.wikipedia.org/wiki/Voronoi_diagram>`__ for all substations.
-
-The network is then simplified by preparing **approximations** of the network model, for which it is computationally viable to co-optimize generation, storage and transmission capacities.
-
-
-- :mod:`simplify_network` transforms the transmission grid to a 380 kV only equivalent network, while
-- :mod:`cluster_network` uses a `k-means <https://en.wikipedia.org/wiki/K-means_clustering>`__ based clustering technique to partition the network into a given number of zones and then reduce the network to a representation with one bus per zone.
-
-The simplification and clustering steps are described in detail in the paper
-
-- Jonas Hörsch and Tom Brown. `The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios <https://arxiv.org/abs/1705.07617>`__), *14th International Conference on the European Energy Market*, 2017. `arXiv:1705.07617 <https://arxiv.org/abs/1705.07617>`__, `doi:10.1109/EEM.2017.7982024 <https://doi.org/10.1109/EEM.2017.7982024>`__.
-
-Then, the process continues by calculating conventional power plant capacities, potentials, and per-unit availability time series for variable renewable energy carriers and hydro power plants with the following rules:
-
-- :mod:`build_powerplants` for today's thermal power plant capacities using `powerplantmatching <https://github.com/PyPSA/powerplantmatching>`__ allocating these to the matching clustered region for each powerplant,
-- :mod:`determine_availability_matrix` for the land eligibility analysis of each cutout grid cell for PV, onshore and offshore wind,
-- :mod:`build_renewable_profiles` for the hourly capacity factors and installation potentials constrained by land-use in each substation's Voronoi cell for PV, onshore and offshore wind, and
-- :mod:`build_hydro_profile` for the hourly per-unit hydro power availability time series.
-
-The rules :mod:`add_electricity` and :mod:`prepare_network` then tie all the different data inputs
-together into a detailed PyPSA network stored in ``networks/base_s_{clusters}_elec.nc``.
-
-.. _cutout:
-
-Rule ``build_cutout``
-=============================
-
-.. automodule:: build_cutout
-
-
-Rule ``build_osm_boundaries``
-=================================
-
-.. automodule:: build_osm_boundaries
-
-Rule ``clean_osm_data``
-=============================
-
-.. automodule:: clean_osm_data
-
-Rule ``build_osm_network``
-=============================
-
-.. automodule:: build_osm_network
-
-Rule ``build_tyndp_network``
-=============================
-
-.. automodule:: build_tyndp_network
-
-.. _base:
-
-Rule ``base_network``
-=============================
-
-.. automodule:: base_network
-
-Rule ``build_natura``
-=============================
-
-.. automodule:: build_natura
-
-
-Rule ``build_transmission_projects``
-====================================
-
-.. automodule:: build_transmission_projects
-
-Rule ``build_line_rating``
-=================================
-
-.. automodule:: build_line_rating
-
-Rule ``add_transmission_projects_and_dlr``
-===========================================
-
-.. automodule:: add_transmission_projects_and_dlr
-
-Rule ``build_bidding_zones``
-=============================
-
-.. automodule:: build_bidding_zones
-
-.. _shapes:
-
-Rule ``build_shapes``
-=============================
-
-.. automodule:: build_shapes
-
-Rule ``build_gdp_pop_non_nuts3``
-================================
-
-.. automodule:: build_gdp_pop_non_nuts3
-
-
-Rule ``build_electricity_demand_base``
-=======================================
-
-.. automodule:: build_electricity_demand_base
-
-Rule ``build_electricity_demand_base_tyndp``
-=======================================
-
-.. automodule:: build_electricity_demand_base
-
-.. _electricity_demand:
-
-Rule ``build_electricity_demand``
-==================================
-
-.. automodule:: build_electricity_demand
-
-Rule ``build_electricity_demand_tyndp``
-==================================
-
-.. automodule:: build_electricity_demand_tyndp
-
-Rule ``build_hac_features``
-=================================
-
-.. automodule:: build_hac_features
-
-.. _simplify:
-
-Rule ``simplify_network``
-============================
-
-.. automodule:: simplify_network
-
-.. _cluster:
-
-Rule ``cluster_network``
-===========================
-
-.. automodule:: cluster_network
-
-
-.. _monthlyprices:
-
-Rule ``build_monthly_prices``
-=============================
-
-.. automodule:: build_monthly_prices
-
-.. _ship:
-
-Rule ``build_ship_raster``
-===============================
-
-
-.. automodule:: build_ship_raster
-
-.. _availabilitymatrixmdua:
-
-Rule ``determine_availability_matrix_MD_UA``
-============================================
-
-.. automodule:: determine_availability_matrix_MD_UA
-
-
-.. _renewableprofiles:
-
-Rule ``determine_availability_matrix``
-======================================
-
-.. automodule:: determine_availability_matrix
-
-
-.. _renewableprofiles:
-
-Rule ``build_renewable_profiles``
-====================================
-
-.. automodule:: build_renewable_profiles
-
-
-.. _hydroprofiles:
-
-Rule ``build_hydro_profile``
-===============================
-
-.. automodule:: build_hydro_profile
-
-.. _powerplants:
-
-Rule ``build_powerplants``
-=============================
-
-.. automodule:: build_powerplants
-
-.. _electricity:
-
-Rule ``add_electricity``
-=============================
-
-.. automodule:: add_electricity
-
-.. _prepare:
-
-Rule ``prepare_network``
-===========================
-
-.. automodule:: prepare_network
-
-Rule ``clean_pecd_data``
-===========================
-
-.. automodule:: clean_pecd_data
-
-Rule ``build_renewable_profiles_pecd``
-===========================
-
-.. automodule:: build_renewable_profiles_pecd
-
-Rule ``clean_tyndp_hydro_inflows``
-===========================
-
-.. automodule:: clean_tyndp_hydro_inflows
-
-Rule ``build_tyndp_hydro_profile``
-===========================
-
-.. automodule:: build_tyndp_hydro_profile
-
-Rule ``build_pemmdb_data``
-===========================
-
-.. automodule:: build_pemmdb_data
-
-Rule ``build_tyndp_transmission_projects``
-===========================
-
-.. automodule:: build_tyndp_transmission_projects
-
-Rule ``build_tyndp_trajectories``
-===========================
-
-.. automodule:: build_tyndp_trajectories
-
-Rule ``clean_tyndp_electricity_demand``
-===========================
-
-.. automodule:: clean_tyndp_electricity_demand
-
-Rule ``clean_tyndp_smr``
-===========================
-
-.. automodule:: clean_tyndp_smr
-
-Rule ``clean_tyndp_h2_storages``
-===========================
-
-.. automodule:: clean_tyndp_h2_storages
diff --git a/doc/publications.md b/doc/publications.md
new file mode 100644
index 0000000000..18a72329e5
--- /dev/null
+++ b/doc/publications.md
@@ -0,0 +1,6 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Publications
+
+\full_bibliography
diff --git a/doc/publications.rst b/doc/publications.rst
deleted file mode 100644
index d610a78d8b..0000000000
--- a/doc/publications.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Publications
-##########################################
-
-.. bibliography::
-   :all:
diff --git a/doc/release_notes.md b/doc/release_notes.md
new file mode 100644
index 0000000000..79c6bf77cc
--- /dev/null
+++ b/doc/release_notes.md
@@ -0,0 +1,4095 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-FileCopyrightText: Open Energy Transition gGmbH -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Release Notes
+
+## Upcoming Open-TYNDP Release
+
+**Features**
+
+* Add Snakemake rules to launch the `PyPSA-Explorer` with pre-solved SB networks from previous releases ([#724](https://github.com/open-energy-transition/open-tyndp/pull/724)).
+
+**Changes**
+
+* Add `Undefined for generation` hydrogen demand to the Market Model data for the Hydrogen Supply benchmark ([#718](https://github.com/open-energy-transition/open-tyndp/pull/718)).
+
+* Update CBA workflow to accept different pre-solved SB network versions as input ([#725](https://github.com/open-energy-transition/open-tyndp/pull/725)).
+
+* Add pixi tasks for running CBA workflow up until checkpoint `clean_projects` ([#726](https://github.com/open-energy-transition/open-tyndp/pull/726)).
+
+* Update pixi task names and definitions to align between SB and CBA workflows ([#735](https://github.com/open-energy-transition/open-tyndp/pull/735)).
+
+* Use only electricity-sourced emissions for and change signs of B2 and B4 indicators ([#709](https://github.com/open-energy-transition/open-tyndp/pull/709)).
+
+* Pass through and validate default solving options for CBA solve ([#708](https://github.com/open-energy-transition/open-tyndp/pull/708)):
+
+    - Make breaking change by moving `cba.solving.options.horizon` and `cba.solving.options.overlap` to `cba.solving.horizon` and `cba.solving.overlap`, respectively.
+    - Add `include_objective_constant` and `assign_all_duals` to solving config validator.
+    - Add `gurobi-simplex` as solver option.
+
+**Bugfixes and Compatibility**
+
+**Documentation**
+
+* Update benchmarking documentation tables and figures for v0.7.1 ([#711](https://github.com/open-energy-transition/open-tyndp/pull/711)).
+
+* Migrate the Sphinx/RST-based documentation to MkDocs/Markdown, as a follow-up to the [upstream migration](https://github.com/PyPSA/pypsa-eur/pull/2162) ([754](https://github.com/open-energy-transition/open-tyndp/pull/754)).
+
+**Developers Note**
+
+* Change GitHub issue templates to comply with ISO security checks ([#714](https://github.com/open-energy-transition/open-tyndp/pull/714), [#730](https://github.com/open-energy-transition/open-tyndp/pull/730)).
+
+* Introduce SBOM/Grype vulnerability scanning workflow, as a follow-up to the [upstream addition](https://github.com/PyPSA/pypsa-eur/pull/2164) ([754](https://github.com/open-energy-transition/open-tyndp/pull/754)).
+
+
+## Upcoming PyPSA-Eur Release
+* Security: SBOM security scan included in CI.
+
+* Security: Development dependencies (pre-commit, pylint, jupyter, etc.) moved to `dev` `pixi` environment.
+  Removed 62 CVEs from `default` environment.
+
+* Fix: Prevent over-aggressive HVDC simplification in `simplify_network` for branched/multi-terminal DC topologies (e.g. UK/Shetland edge cases). Supernode detection now only collapses true chain nodes (degree 2) and preserves DC junctions (degree 3+) so branches are not dropped ([#2147](https://github.com/PyPSA/pypsa-eur/pull/2147)).
+
+* Fix: `atlite.plot_availability_matrix` config option for `determine_availability_matrix` and `determine_availability_matrix_MD_UA` scripts, changed their output and behaviour to align consistently ([#2173](https://github.com/PyPSA/pypsa-eur/pull/2173)).
+
+* Fix: Activate losses for `H2 pipeline retrofitted` links by default, to ensure consistency with `H2 pipeline` links.
+
+* Fix: Re-introduce capital costs for non-bicharging discharge links in `add_electricity.py`, e.g. fuel cells.
+
+* The lockfile update workflow now excludes packages published within the last 7 days to reduce the risk of pulling in broken or yanked releases ([#2130](https://github.com/PyPSA/pypsa-eur/pull/2130)).
+
+* The industry reference year and the ammonia production data have been updated to 2023 ([#2103](https://github.com/PyPSA/pypsa-eur/pull/2103))
+
+* refactor: Use scripts path provider consistently ([#2093](https://github.com/PyPSA/pypsa-eur/pull/2093)).
+
+* Fix: Lower the lower bound used to group the power plants in `add_existing_baseyear` ([#2097](https://github.com/PyPSA/pypsa-eur/pull/2097)). This now includes all power plants built since 1900.
+
+* feat: Add options for carrier specific load shedding and load sinks configurable via `load_shedding` and `load_sinks` respectively ([#2105](https://github.com/PyPSA/pypsa-eur/pull/2105)).
+
+* perf: Optimize dask settings for computing weather-dependent profiles ([#2137](https://github.com/PyPSA/pypsa-eur/pull/2137)).
+
+* Fix: correct definition of `marginal_cost` for those links were `vom` values from technology cost datasets are defined per units of output (e.g., electricity) ([#2154](https://github.com/PyPSA/pypsa-eur/pull/2154)).
+
+* feat: Improve the config validation to cover scenario management ([#2155](https://github.com/PyPSA/pypsa-eur/pull/2155)).
+
+- Added solar rooftop ratio setting to `add_existing_baseyear` for heuristically splitting existing solar capacity between rooftop and utility-scale (defaults to a 50:50 split).
+
+
+## PyPSA-Eur v2026.02.0 (18th February 2026, merged 17th June 2026)
+
+**Features**
+
+* **Updated energy balances:**
+
+    - Update energy balances from JRC-IDEES-2021 to JRC-IDEES-2023; default reference year changed from 2019 to 2023
+      ([#1976](https://github.com/PyPSA/pypsa-eur/pull/1976)).
+
+    - Build energy balances from Eurostat API data with new rule [build_eurostat_balances][]
+      ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
+
+    - Updated Swiss energy balances from Swiss Federal Office of Energy (SFOE, October 2025), retrieved directly
+      from SFOE website in `build_swiss_energy_balances` ([#2057](https://github.com/PyPSA/pypsa-eur/pull/2057)).
+
+* **Better electricity demand data:**
+
+    - Updated electricity demand data sources with ENTSO-E Transparency Platform API (requires `ENTSOE_API_KEY`)
+      and NESO data portal for Great Britain and Northern Ireland ([#1828](https://github.com/PyPSA/pypsa-eur/pull/1828)).
+
+    - Electricity demand distribution to subnational model regions now uses JRC Energy Atlas data for EU countries
+      (1km x 1km raster) with fallbacks to NESO and NUTS3-based distribution
+      ([#1829](https://github.com/PyPSA/pypsa-eur/pull/1829)).
+
+* **Updated electricity network data:**
+
+    - Improved OSM network building: Support for voltage levels from 63 kV to 750 kV, temporal attributes
+      (start_date, construction tags), and pure DC buses (switching stations).
+      Rebuilt interactive network map using PyDeck/deck.gl ([#2052](https://github.com/PyPSA/pypsa-eur/pull/2052), [#2030](https://github.com/PyPSA/pypsa-eur/pull/2030)).
+
+    - Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025)
+      ([#2064](https://github.com/PyPSA/pypsa-eur/pull/2064), [#2054](https://github.com/PyPSA/pypsa-eur/pull/2054)).
+
+    - New base network using TYNDP 2024 data modeling NTC transmission capacities as a transport model
+      ([#1646](https://github.com/PyPSA/pypsa-eur/pull/1646)).
+
+* **Improved power plants and industrial sites data:**
+
+    - Added powerplantmatching v0.8.0 to data versions. Wind and solar capacity updates for 2025. Nuclear power plants are now resolved by block ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
+
+    - Enhanced renewable capacity estimation using plant-level data from Powerplantmatching. Renamed setting
+      `from_gem` to `from_powerplantmatching`. New `from_irenastat` setting supplements capacity estimation
+      ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+    - Waste-to-energy plants now included in electricity-only networks ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+    - Updated GEM steel plant tracker and initial GEM cement plant tracker ([#1830](https://github.com/PyPSA/pypsa-eur/pull/1830)).
+
+* **Improved storage:**
+
+    - Added new storage technologies, including iron-air batteries. These can be configured as
+      either store-link combinations or standalone storage units. Implemented in both [add_electricity][] and
+      [prepare_sector_network][] ([#1961](https://github.com/PyPSA/pypsa-eur/pull/1961)).
+
+    - Existing battery storage capacities from Powerplantmatching can be added as `StorageUnit` components using
+      plant-level duration data ([#2071](https://github.com/PyPSA/pypsa-eur/pull/2071)).
+
+* **Updated technology parameters:**
+
+    - Added technology-data v0.13.4 to data versions ([#1985](https://github.com/PyPSA/pypsa-eur/pull/1985)).
+
+* **Better data, configuration and dependency management:**
+
+    - Data versions now version controlled in `data/versions.csv` with configurable per-scenario specifications
+      ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675), [#1963](https://github.com/PyPSA/pypsa-eur/pull/1963)).
+
+    - Use validation schema for configuration files. Schema contains default values;
+      changes to `config/config.default.yaml` now require schema updates
+      ([#1912](https://github.com/PyPSA/pypsa-eur/pull/1912)).
+
+    - Move to Pixi for robust cross-platform dependency management ([#1886](https://github.com/PyPSA/pypsa-eur/pull/1886)).
+
+* Updated CO2 emission allowance prices to use Instrat API for real-time pricing data
+  ([#2035](https://github.com/PyPSA/pypsa-eur/pull/2035)).
+
+* Added CO2 emission prices configurable per planning horizon as marginal cost on `co2 atmosphere` Store
+  ([#1897](https://github.com/PyPSA/pypsa-eur/pull/1897)).
+
+* Nuclear energy availability factors now stored with annual data per country in `data/nuclear_p_max_pu.csv`;
+  model automatically selects year nearest to weather year ([#2072](https://github.com/PyPSA/pypsa-eur/pull/2072)).
+
+* Added interactive HTML balance maps in `results/maps/interactive/` with configurable settings
+  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+
+* Added `solving.options.store_model` config option to store the linopy model as NetCDF after solving
+  (not supported with rolling horizon) ([#2001](https://github.com/PyPSA/pypsa-eur/pull/2001)).
+
+* Added residential heat demand-side management (DSM) based on SmartEN study methodology
+  ([#1857](https://github.com/PyPSA/pypsa-eur/pull/1857)).
+
+* Xpress solver configuration options (`xpress-default` and `xpress-gpu`) with barrier method settings for
+  large-scale problems ([#2006](https://github.com/PyPSA/pypsa-eur/pull/2006)).
+
+* `clustering: consider_efficiency_classes` now accepts list of quantile boundaries (e.g. `[0.1, 0.5, 0.9]`)
+  in addition to boolean; default unchanged ([#2075](https://github.com/PyPSA/pypsa-eur/pull/2075)).
+
+* Added existing biomass decentral/rural residential and services heating capacity
+  ([#1872](https://github.com/PyPSA/pypsa-eur/pull/1872)).
+
+* Introduced method to overwrite costs via `costs:custom_cost_fn` for techno-economic assumptions
+  ([#1752](https://github.com/PyPSA/pypsa-eur/pull/1752), [#1879](https://github.com/PyPSA/pypsa-eur/pull/1879)).
+
+* Added minimum unit dispatch setting option for electrolysis ([#1859](https://github.com/PyPSA/pypsa-eur/pull/1859)).
+
+* Added integration with OETC platform ([#1831](https://github.com/PyPSA/pypsa-eur/pull/1831)).
+
+**Changes**
+
+* Removed config options `sector:MWh_MeOH_per_tCO2`, `MWh_MeOH_per_MWh_H2`, and `MWh_MeOH_per_MWh_elec`
+  in favour of technology-data repository values ([#2043](https://github.com/PyPSA/pypsa-eur/pull/2043)).
+
+* Rewritten power plant mapping to model regions/buses using spatial joins instead of nearest-bus approach.
+  Necessary due to administrative clustering conformance changes
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Setting `from_gem` renamed to `from_powerplantmatching`
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Function `rescale_idees_from_eurostat` removed ([#1987](https://github.com/PyPSA/pypsa-eur/pull/1987)).
+
+* Removed `shared_cutouts` configuration entry; cutouts always shared. Use differently named cutouts for
+  scenario-specific temporal/spatial resolution ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Cutouts relocated to `data/cutouts/` directory; will trigger re-download/rebuild. Move existing cutouts
+  manually if needed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Cutout bounds must now be explicitly defined in configuration; inference from `regions_onshore` and
+  `regions_offshore` removed ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Cutout preparation configuration moved to nested `prepare_kwargs` dictionary
+  ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Configuration options `enable: retrieve`, `enable: retrieve_databundle`, and `enable: retrieve_cost_data`
+  removed; rules always included ([#1675](https://github.com/PyPSA/pypsa-eur/pull/1675)).
+
+* Removed `secrets` configuration section and Gurobi license credentials from config files to prevent
+  accidental exposure of sensitive data ([#1989](https://github.com/PyPSA/pypsa-eur/pull/1989)).
+
+* Configuration schema updater allowing soft-fork changes without modifying base PyPSA-Eur files
+  ([#2056](https://github.com/PyPSA/pypsa-eur/pull/2056)).
+
+* Removed outdated hotfixes in [build_powerplants][] ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Updated `powerplants_filter` to include plants operational in 2025
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Default year for renewable capacity estimation updated to 2024 ([#2040](https://github.com/PyPSA/pypsa-eur/pull/2040)).
+
+* Added 2030 to power plant grouping years by default ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Disabled `powerplantmatching` phase-out heuristic in [build_powerplants][]
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Applied scaling of kW and GW to MW for custom costs ([#2023](https://github.com/PyPSA/pypsa-eur/pull/2023)).
+
+* Refactored [solve_network][] and [solve_operations_network][] separating optimization problem preparation
+  from solving ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+
+* Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`
+  ([#1902](https://github.com/PyPSA/pypsa-eur/pull/1902)).
+
+* Static balance maps relocated to `results/maps/static/` ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+
+* Bus carriers for balance maps with spaces must use underscores in configuration for SLURM compatibility
+  ([#1935](https://github.com/PyPSA/pypsa-eur/pull/1935)).
+
+* Overpass API configuration options added (URL, retries, timeout, user agent)
+  ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
+
+* Added script path getter helper method for rule inheritance in nested snakefiles
+  ([#1997](https://github.com/PyPSA/pypsa-eur/pull/1997)).
+
+* Updated standing losses for PTES, central TTES, and decentral TTES to latest DEA technology data (v0.13.3)
+  ([#1791](https://github.com/PyPSA/pypsa-eur/pull/1791)).
+
+* Disabled PTES dynamic capacity by default ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
+
+* Distribution grid experimental feature: voltage levels from 63 kV to 750 kV with example configuration
+  ([#1740](https://github.com/PyPSA/pypsa-eur/pull/1740)).
+
+* Allow expandable CCGTs by default ([#1796](https://github.com/PyPSA/pypsa-eur/pull/1796)).
+
+* Reverted to PDF files for graphs generated with [plot_summary][] ([#2083](https://github.com/PyPSA/pypsa-eur/pull/2083)).
+
+* Add user-readable messages to each rule ([#1846](https://github.com/PyPSA/pypsa-eur/pull/1846)).
+
+* Running perfect foresight marked as unstable ([#1853](https://github.com/PyPSA/pypsa-eur/pull/1853)).
+
+* Empty auto-generated folders (`resources/`, `results/`) added to repository; `purge` rule preserves folders
+  ([#1764](https://github.com/PyPSA/pypsa-eur/pull/1764)).
+
+* Improved handling of grouping years in [add_existing_baseyear][]
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Automatically update DAGs in documentation ([#1880](https://github.com/PyPSA/pypsa-eur/pull/1880)).
+
+**Bugfixes and Compatibility**
+
+* Fixed offshore wind potentials by disregarding CORINE land cover data for offshore technologies.
+
+* Increased minimum required PyPSA version to 0.33.2 ([#1849](https://github.com/PyPSA/pypsa-eur/pull/1849)).
+
+* Custom storage plugin for Zenodo retrievals to address recurring failures
+  (https://github.com/PyPSA/snakemake-storage-plugin-cached-http, [#1913](https://github.com/PyPSA/pypsa-eur/pull/1913)).
+
+* Fixed unit commitment compatibility for PyPSA v1.0 component API
+  ([#2049](https://github.com/PyPSA/pypsa-eur/pull/2049)).
+
+* Fixed rolling horizon optimisation to work in [solve_network][] in addition to [solve_operations_network][];
+  drop cyclicity constraints with `rolling_horizon: true`
+  ([#2070](https://github.com/PyPSA/pypsa-eur/pull/2070)).
+
+* Fixed unit commitment parameters scaling start-up costs with nominal power capacity
+  ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
+
+* Pinned `grpcio<1.78` to silence cluttering warnings ([#2080](https://github.com/PyPSA/pypsa-eur/pull/2080)).
+
+* Fixed CO2Stop ID column handling across versions ([#2077](https://github.com/PyPSA/pypsa-eur/pull/2077)).
+
+* Ensured renewable carriers not added as conventional power plants if in `powerplants.csv`
+  ([#2050](https://github.com/PyPSA/pypsa-eur/pull/2050)).
+
+* Fixed wildcards error in [clean_osm_data][] rule message ([#2022](https://github.com/PyPSA/pypsa-eur/pull/2022)).
+
+* Fixed `None` default config parameter creating zero offshore wind availability
+  ([#2019](https://github.com/PyPSA/pypsa-eur/pull/2019)).
+
+* Fixed virtual bus naming in raw OSM transmission network to use persistent names
+  ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+
+* Fixed column selection when preparing OSM pre-built releases ([#1956](https://github.com/PyPSA/pypsa-eur/pull/1956)).
+
+* Fixed capital cost of `solar-hsat` not adjusted to current planning horizon in myopic optimization
+  ([#1965](https://github.com/PyPSA/pypsa-eur/pull/1965)).
+
+* Fixed `ConsistencyError` for Links without buses when `gas_network: true` but no `conventional_generation`
+  ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
+
+* Fixed `ConsistencyError` for Links without buses when `industry: true` but no `conventional_generation` or
+  `biomass` ([#1971](https://github.com/PyPSA/pypsa-eur/pull/1971)).
+
+* Fixed `mock_snakemake` due to upstream Snakemake API changes requiring `LoggerManager` instance
+  ([#1984](https://github.com/PyPSA/pypsa-eur/pull/1984)).
+
+* Fixed compatibility with `pyogrio>=0.12.0` in [build_gas_input_locations][] and [build_gas_network][]
+  ([#1955](https://github.com/PyPSA/pypsa-eur/pull/1955)).
+
+* Fixed PyPSA-Eur use as Snakemake module by ensuring all file paths relative to rule inputs/outputs
+  ([#1967](https://github.com/PyPSA/pypsa-eur/pull/1967)).
+
+* Fixed OSM network building via Overpass API ([#1940](https://github.com/PyPSA/pypsa-eur/pull/1940)).
+
+* Fixed parsing of Swiss passenger cars data ([#1934](https://github.com/PyPSA/pypsa-eur/pull/1934), [#1936](https://github.com/PyPSA/pypsa-eur/pull/1936)).
+
+* Fixed `ValueError` with `cop_heat_pump` in [prepare_sector_network][] when `tim_dep_hp_cop` is
+  `false` ([#1929](https://github.com/PyPSA/pypsa-eur/pull/1929)).
+
+* Fixed OSM raw data cleaning to include `section` line relation role ([#1927](https://github.com/PyPSA/pypsa-eur/pull/1927)).
+
+* Fixed missing raw OSM HVDC links defined using `power=circuit` tag ([#1926](https://github.com/PyPSA/pypsa-eur/pull/1926)).
+
+* Fixed load shedding bugs from incorrect `sign` argument in `n.add` and `np.isscalar`
+  ([#1908](https://github.com/PyPSA/pypsa-eur/pull/1908)).
+
+* Fixed Eurostat data retrieval on Windows by avoiding double temporary file access
+  ([#1825](https://github.com/PyPSA/pypsa-eur/pull/1825)).
+
+* Fixed `AttributeError` in [prepare_sector_network][] with single country and cluster
+  ([#1835](https://github.com/PyPSA/pypsa-eur/pull/1835)).
+
+* Fixed `ValueError` in [prepare_sector_network][] `add_storage_and_grids` with few nodes
+  ([#1780](https://github.com/PyPSA/pypsa-eur/pull/1780)).
+
+* Fixed `AttributeError` in [prepare_sector_network][] with single country
+  ([#1778](https://github.com/PyPSA/pypsa-eur/pull/1778)).
+
+* Fixed `FileNotFoundError` preventing PyPSA-Eur use as Snakemake module by saving intermediate files at top
+  directory level in multiple `retrieve.smk` rules ([#1768](https://github.com/PyPSA/pypsa-eur/pull/1768)).
+
+* Fixed heat pump CAPEX allocation to heat bus and removed nominal efficiency from CAPEX calculation
+  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
+
+* Fixed heat pump COP approximation configuration passing to `CentralHeatingCopApproximator`
+  ([#1748](https://github.com/PyPSA/pypsa-eur/pull/1748)).
+
+* Fixed `pandas>=2.3.0` deprecation warnings ([#1898](https://github.com/PyPSA/pypsa-eur/pull/1898)).
+
+* Fixed WDPA links on Windows ([#2008](https://github.com/PyPSA/pypsa-eur/pull/2008)).
+
+* Fixed WDPA and WDPA Marine data download and extraction ([#2005](https://github.com/PyPSA/pypsa-eur/issues/2005)).
+
+* Added automatic retry for Zenodo HTTP requests to handle transient errors
+  ([#1861](https://github.com/PyPSA/pypsa-eur/pull/1861)).
+
+* Fixed missing cost name for geothermal-sourced heat pump and allowed in test configs
+  ([#1766](https://github.com/PyPSA/pypsa-eur/pull/1766)).
+
+* Changed error handling for non-extendable heat storage energy-to-power ratio constraints to warning
+  ([#1769](https://github.com/PyPSA/pypsa-eur/pull/1769)).
+
+* Removed snakemake SLURM plugin from Windows installations ([#2009](https://github.com/PyPSA/pypsa-eur/pull/2009)).
+
+* Added missing bidding zone data sources to data layer ([#1991](https://github.com/PyPSA/pypsa-eur/pull/1991)).
+
+* Removed pinned environment files mention from pre-commit-config-yaml ([#1837](https://github.com/PyPSA/pypsa-eur/pull/1837)).
+
+
+## Open-TYNDP v0.7.1 (19th May 2026)
+**Bugfixes and Compatibility**
+
+* Restrict linopy to <0.7.0 to work around a bug in linopy v0.7.0 where generator constraints are violated, resulting in a negative objective function value. This is a temporary pin until the issue is resolved upstream (https://github.com/open-energy-transition/open-tyndp/pull/705).
+
+
+## Open-TYNDP v0.7 (19th May 2026)
+**Features**
+
+* Implement demand side response (DSR) components and price bands (https://github.com/open-energy-transition/open-tyndp/pull/598). This is configurable via `electricity.constrain_dsr` and `cba.constrain_dsr` in the configuration file.
+
+* Add functionality to use different sources (ENTSO-E and ENTSOs) of H2 reference grid data via `sector.h2_reference_grid_source` (https://github.com/open-energy-transition/open-tyndp/pull/611).
+
+* Add configuration switch to patch faulty electricity demand profiles with Market Model output data (https://github.com/open-energy-transition/open-tyndp/pull/647).
+
+* Refactor the TYNDP carrier mappings into a central CSV file, adding consistent nice names to all carriers (https://github.com/open-energy-transition/open-tyndp/pull/658).
+
+* Add `tyndp-archive` as a new data source backed by an Open-TYNDP Google Cloud Storage bucket (`open-tyndp-data-store`) where archived datasets are mirrored. This enables fully reproducible runs without depending on third-party data providers (https://github.com/open-energy-transition/open-tyndp/pull/682). Six datasets currently remain to be retrieved from primary sources due to licensing constraints.
+
+**Changes**
+
+* Modify B1 indicator calculation to only use OPEX and not total system cost (OPEX + CAPEX) (https://github.com/open-energy-transition/open-tyndp/pull/668).
+
+* Add dumped energy to power generation benchmarking (https://github.com/open-energy-transition/open-tyndp/pull/615).
+
+* Add numbers of hours of demand shedding to benchmarking (https://github.com/open-energy-transition/open-tyndp/pull/657).
+
+* Disable OCGT as an extendable carrier and add load shedding for H2 and AC (https://github.com/open-energy-transition/open-tyndp/pull/547).
+
+* Add imports to H2 Market Model (MM) supply benchmark (https://github.com/open-energy-transition/open-tyndp/pull/604).
+
+* Add cross-border flows to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/609).
+
+* Improve price benchmarking excluding load-shedding to account for sector-coupling effects by lowering the carrier-specific threshold used to filter marginal prices (https://github.com/open-energy-transition/open-tyndp/pull/701).
+
+* Add option to patch offshore hubs interconnectors with Market Model data (https://github.com/open-energy-transition/open-tyndp/pull/654). The patch is optionally applied and is enabled with `sector:offshore_hubs_tyndp:patch_crossborder_with_mm`.
+
+* Apply derived bus name mappings when computing offshore hubs interconnector benchmarks (https://github.com/open-energy-transition/open-tyndp/pull/656).
+
+* Add separate solver option for CBA MSV extraction (`cba.msv_extraction.solving`) and move CBA solve logs to `results/cba/logs/` (https://github.com/open-energy-transition/open-tyndp/pull/627).
+
+* Change the number of threads used for CBA MSV extraction (`solve_cba_msv_extraction`) to `solver_threads` to speed up high-resolution runs when using commercial solvers (https://github.com/open-energy-transition/open-tyndp/pull/649).
+
+* Refactor CBA workflow to only temporarily save CBA project networks in `resources/` (https://github.com/open-energy-transition/open-tyndp/pull/652).
+
+* Disable noise added to costs in CBA solves, via `cba.msv_extraction.solving.options.noisy_costs` and `cba.solving.options.noisy_costs` (https://github.com/open-energy-transition/open-tyndp/pull/687).
+
+**Bugfixes and Compatibility**
+
+* Fix flows in balance maps (https://github.com/open-energy-transition/open-tyndp/pull/608).
+
+* Improve EU-wide prices with Pan-European values (https://github.com/open-energy-transition/open-tyndp/pull/607).
+
+* Adjust `build_statistics` to be compatible with not modelling the electricity distribution grid with low voltage buses (https://github.com/open-energy-transition/open-tyndp/pull/634).
+
+* Fix NaN values of `marginal_cost_original` in solved networks (https://github.com/open-energy-transition/open-tyndp/pull/613).
+
+* Fix labeling of climate years in CBA indicators output CSVs (https://github.com/open-energy-transition/open-tyndp/pull/620).
+
+* Fix CBA workflow to correctly handle simple runs and collection (multi-climate year) runs (https://github.com/open-energy-transition/open-tyndp/pull/625).
+
+* Adjust DSR and demand shedding mapping across data sources to benchmark them accurately (https://github.com/open-energy-transition/open-tyndp/pull/645).
+
+* Fix mapping of biofuels in the Final Energy Demand table of the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/667).
+
+* Fix DSR benchmarking of installed capacities and add notes to plots (https://github.com/open-energy-transition/open-tyndp/pull/663).
+
+* Fix CRS compatibility between `entsoepy` and `electricitymaps` bidding zone shapes (https://github.com/open-energy-transition/open-tyndp/pull/672).
+
+* Refactor the extraction of cross-border flows used by the benchmarking framework to use `n.statistics` (https://github.com/open-energy-transition/open-tyndp/pull/680).
+
+* Update PEMMDB version reference to correct version v2.5 in the documentation (https://github.com/open-energy-transition/open-tyndp/pull/681).
+
+* Fix units in B4 indicator calculation (https://github.com/open-energy-transition/open-tyndp/pull/693).
+
+* Fix missing native electricity demand mapping for the Market Model in the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/692). This enables the load-weighted average Pan-EU Market Model price calculation and per-node electricity demand validation.
+
+* Refactor the `plot_benchmarks` script in order to reduce memory requirements and accelerate processing (https://github.com/open-energy-transition/open-tyndp/pull/696).
+
+* Improve performance of `build_statistics` by adjusting snapshot weightings within networks to be applied automatically within `n.statistics` instead of manually in `build_statistics` (https://github.com/open-energy-transition/open-tyndp/pull/674).
+
+* Fix prices on interactive maps to exclude load shedding (https://github.com/open-energy-transition/open-tyndp/pull/689).
+
+* Fix the interconnector normalisation by mapping the bus names prior to their normalisation for all the cross-border benchmarks (https://github.com/open-energy-transition/open-tyndp/pull/703).
+
+**Documentation**
+
+* Restructure documentation: split benchmarking into SB and CBA sections, add PyPSA-Eur pages (https://github.com/open-energy-transition/open-tyndp/pull/676).
+
+* Add hint on specifying physical RAM limit for Snakemake to use when scheduling jobs (https://github.com/open-energy-transition/open-tyndp/pull/699).
+
+**Developers Note**
+
+* Upload Windows installer as unzipped artifact (https://github.com/open-energy-transition/open-tyndp/pull/621).
+
+* Improve robustness of `retrieve_bidding_zones_entsoepy` by using `requests` instead of `geopandas` to retrieve data (https://github.com/open-energy-transition/open-tyndp/pull/644).
+
+* Save current git version label and commit in network metadata for improved versioning of runs (https://github.com/open-energy-transition/open-tyndp/pull/675).
+
+* Add buttons to the interactive balance maps and decrease file size (https://github.com/open-energy-transition/open-tyndp/pull/669).
+
+
+## Open-TYNDP v0.6.1 (2nd April 2026)
+**Bugfixes and Compatibility**
+
+* Fix EU27 benchmark aggregation for non-price tables (https://github.com/open-energy-transition/open-tyndp/pull/600).
+
+**Documentation**
+
+* Update citations to version-agnostic DOIs (https://github.com/open-energy-transition/open-tyndp/pull/602).
+
+
+## Open-TYNDP v0.6 (1st April 2026)
+**Features**
+
+* Implement rolling horizon optimisation with marginal storage values (water values) for seasonal storage components, maintaining operation of long-term stores close to perfect foresight optimization (https://github.com/open-energy-transition/open-tyndp/pull/441).
+
+* Add SMR (grey hydrogen) and SMR + Carbon Capture (blue hydrogen) capacities and assumptions from TYNDP 2024 hydrogen data and enable H2 load shedding with cost of 3000 EUR/MWh_H2 (https://github.com/open-energy-transition/open-tyndp/pull/490).
+
+* Add Other RES capacities and generation profiles from PEMMDB (https://github.com/open-energy-transition/open-tyndp/pull/521).
+
+* Add Other Non-RES capacities and price bands from PEMMDB (https://github.com/open-energy-transition/open-tyndp/pull/535).
+
+* Add H2 cavern and tank storages with existing energy and charge/discharge capacities (https://github.com/open-energy-transition/open-tyndp/pull/552). Optionally, for the DE/GA scenarios, expansion limits are added for these capacities for the expendable cavern storages.
+
+* Add PEMMDB common data assumptions from ERAA 2025 for power plant type specific efficiencies and VOM (https://github.com/open-energy-transition/open-tyndp/pull/541).
+
+* Add Battery Store capacities from PEMMDB (https://github.com/open-energy-transition/open-tyndp/pull/253/).
+
+* Add the 2035 hydrogen reference grid for NT 2040 using the Grid Investment Dataset (https://github.com/open-energy-transition/open-tyndp/pull/537).
+
+* Collect results of multi weather year CBAs and calculate weighted average KPIs and plot them (https://github.com/open-energy-transition/open-tyndp/pull/529).
+
+* Add an option to use the H2 demand from the Market Model Outputs (`sector:h2_demand_patch_with_mm`, enabled by default) (https://github.com/open-energy-transition/open-tyndp/pull/531). This option overwrites the default H2 demand from the Demand Profiles of the TYNDP 2024 Scenarios. It is now also possible to compare against Market Model Outputs in the benchmarking framework.
+
+* Improve hydro modelling assumptions used for Run-of-River (ROR), pondage and reservoir (https://github.com/open-energy-transition/open-tyndp/pull/567).
+
+* Improve biomass and biogas assumptions: subtract Other-RES biomass demand from solid biomass FED, update biomass-to-liquid efficiencies with the Supply Tool values, and align Other-RES and non-upgraded biogas with FED benchmarks (https://github.com/open-energy-transition/open-tyndp/pull/570).
+
+* Add option to model carrier-specific load shedding with associated shedding costs (https://github.com/open-energy-transition/open-tyndp/pull/494).
+
+* Add option to model carrier-specific load sinks with associated costs (https://github.com/open-energy-transition/open-tyndp/pull/505).
+
+* Add preprocessing of Market Model benchmark data (prices, crossborder flows, supply, capacity) on country level (https://github.com/open-energy-transition/open-tyndp/pull/467).
+
+* Extend benchmarking to support spatial resolution at bus and country level (https://github.com/open-energy-transition/open-tyndp/pull/543), configured via `benchmarking.spatial.by_bus` and `benchmarking.spatial.by_country`.
+
+* Add electricity and hydrogen price benchmarking tables to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/574).
+
+**Changes**
+
+* Add option to run CBA using pre-solved SB networks from Zenodo, bypassing the SB workflow which speeds up execution (https://github.com/open-energy-transition/open-tyndp/pull/478). This can be enabled by setting `cba:cba_scenario_input:use_presolved` to `true` in the configuration file. **Note:** Pre-solved networks use default open-tyndp settings. If your config differs from defaults, SB and CBA assumptions may not align.
+
+* Populate link attributes for new links in CBA (https://github.com/open-energy-transition/open-tyndp/pull/522).
+
+* Implement option to remove noisy costs from CBA indicators calculations (https://github.com/open-energy-transition/open-tyndp/pull/523).
+
+* Add an option to apply the CBA fixes of the electrical reference network to the SB network as well (enabled by default) (https://github.com/open-energy-transition/open-tyndp/pull/527).
+
+* Add an option to set negative capacities of links from TOOT removal to zero instead of removing them (https://github.com/open-energy-transition/open-tyndp/pull/542).
+
+* Rename OCGT as slack generator for benchmarking (https://github.com/open-energy-transition/open-tyndp/pull/573).
+
+* Connect isolated offshore wind farms to the grid using a copperplate assumption for NT scenario (https://github.com/open-energy-transition/open-tyndp/pull/568).
+
+* Remove non-extendable TYNDP assets with zero capacity from network to reduce network size (https://github.com/open-energy-transition/open-tyndp/pull/583).
+
+**Bugfixes and Compatibility**
+
+* Add fallback to use 2040 networks/data when planning horizon selected in CBA is not 2030 or 2040 (https://github.com/open-energy-transition/open-tyndp/pull/520).
+
+* Fix GH workflow to attach windows installer to release (https://github.com/open-energy-transition/open-tyndp/pull/501).
+
+* Fix inconsistency in the naming of CBA indicators benchmark plots (https://github.com/open-energy-transition/open-tyndp/pull/509).
+
+* Fix topology issue affecting the hydrogen interactive maps (https://github.com/open-energy-transition/open-tyndp/pull/533).
+
+* Fix for myopic handling of cumulative capacities of renewable assets (https://github.com/open-energy-transition/open-tyndp/pull/564).
+
+* Fix NaNs that are introduced in B1 indicator calculation when using `cba.remove_noisy_costs` (https://github.com/open-energy-transition/open-tyndp/pull/578).
+
+* Remove outdated config overwrites for electrolysis efficiency to use planning year dependent `custom_cost.csv` values (https://github.com/open-energy-transition/open-tyndp/pull/582).
+
+* Fix incorrect country assignment for the `BEIOH01` offshore hub and add an explicit country mapping (https://github.com/open-energy-transition/open-tyndp/pull/591).
+
+**Documentation**
+
+* Add dedicated documentation page for the CBA rolling horizon dispatch pipeline, covering all preparation stages (network simplification, reference network, MSV extraction, rolling horizon preparation, project preparation, solve, indicators), configuration reference, and key design assumptions (https://github.com/open-energy-transition/open-tyndp/pull/572).
+
+* Add description of CBA config settings and how to run single vs collection (climate years) scenarios (https://github.com/open-energy-transition/open-tyndp/pull/584).
+
+* Add FAQ for Windows usage and corrupt environments (https://github.com/open-energy-transition/open-tyndp/pull/549).
+
+**Developers Note**
+
+* Refactor the `validation` folder within `benchmarks/tyndp-2024` to ensure consistency in naming conventions (https://github.com/open-energy-transition/open-tyndp/pull/550).
+
+
+## Open-TYNDP v0.5.1 (18th February 2026)
+**Features**
+
+* Sign Windows installers using Azure Artifact Signing (https://github.com/open-energy-transition/open-tyndp/pull/471).
+
+**Changes**
+
+* Refactor the temporal aggregation of a sector-coupled model as a separate rule (https://github.com/open-energy-transition/open-tyndp/pull/469). It renames previous `temporal_aggregation` as `build_snapshot_weightings` and introduces a new rule `temporal_aggregation` after `prepare_sector_network` that effectively applies the aggregation.
+
+* Harmonize renewable profiles across all assets regardless of build year (https://github.com/open-energy-transition/open-tyndp/pull/473). When `existing_capacities:uniform_renewable_profiles` is enabled, brownfield generators receive the current planning horizon's profiles instead of their vintage profiles.
+
+**Bugfixes and Compatibility**
+
+* Fix Windows uninstaller launched from installer to report failure on success (https://github.com/open-energy-transition/open-tyndp/pull/472).
+
+* Fix for myopic pathway optimization using the TYNDP H2 reference grid to account for cumulative capacities between planning horizons and add back CH-IT H2 pipeline connections (https://github.com/open-energy-transition/open-tyndp/pull/475).
+
+* Fix for GB connections in 2035 reference grid based on the Grid Investment Dataset (https://github.com/open-energy-transition/open-tyndp/pull/489).
+
+* Allow specifying the build_year of investment candidates to be added as new links to the 2040 reference grid via the config file and add both 2030 and 2035 projects to 2040 reference grid (https://github.com/open-energy-transition/open-tyndp/pull/496).
+
+* Use conda-forge dependency for PyPSA-Explorer package instead of pypi (https://github.com/open-energy-transition/open-tyndp/pull/491).
+
+**Documentation**
+
+* Update benchmarking indicators and figures to v0.5 (https://github.com/open-energy-transition/open-tyndp/pull/465).
+
+* Update the Citation for improved reference of original work and add Zenodo archive (https://github.com/open-energy-transition/open-tyndp/pull/459).
+
+**Developers Note**
+
+* Verify checksums of data packages downloaded through GCP (https://github.com/open-energy-transition/open-tyndp/pull/486).
+
+* Pin grpcio<1.78 to silence warnings that are cluttering the log (https://github.com/open-energy-transition/open-tyndp/pull/498).
+
+
+## Open-TYNDP v0.5 (10th February 2026)
+**Features**
+
+* Add the PINT project network preparation for Cost-Benefit Analysis (CBA) and adjust workflow to single reference grid (https://github.com/open-energy-transition/open-tyndp/pull/353).
+
+* Add TYNDP hydro technologies and associated PEMMDB capacities and inflows (https://github.com/open-energy-transition/open-tyndp/pull/338). The following technologies are introduced: `hydro-ror`, `hydro-reservoir`, `hydro-pondage`, `hydro-phs` and `hydro-phs-pure`.
+
+* Scaled EV electricity demand and adjusted EV parameters to match TYNDP 2024 assumptions (EV charging efficiency, EV charging rate, capacity available for DSM, car efficiency) (https://github.com/open-energy-transition/open-tyndp/pull/409).
+
+* Add the 2035 reference grid for NT 2040 using the Grid Investment Dataset (https://github.com/open-energy-transition/open-tyndp/pull/340).
+
+* Introduce calculation of B2 indicator in the Cost-Benefit Analysis (CBA) based on changes in total system CO2 emissions (https://github.com/open-energy-transition/open-tyndp/pull/348).
+
+* Introduce calculation of B3 indicators in the Cost-Benefit Analysis (CBA) based on renewable energy integration (https://github.com/open-energy-transition/open-tyndp/pull/350).
+
+* Introduce calculation of B4 indicator in the Cost-Benefit Analysis (CBA) based on changes in non-CO2 emissions (https://github.com/open-energy-transition/open-tyndp/pull/398).
+
+* Set short-term storage to cyclic in CBA dispatch (https://github.com/open-energy-transition/open-tyndp/pull/385).
+
+* Add availability profiles for nuclear power plants (https://github.com/open-energy-transition/open-tyndp/pull/447). The profiles are derived from the Market Outputs files for the NT scenario. Generation time series are normalized to per-unit values and resampled weekly, retaining the maximum availability factor per week to account for maintenance schedules and forced outages.
+
+* Add PyPSA-Explorer to workflow (https://github.com/open-energy-transition/open-tyndp/pull/443). The explorer will launch automatically in a new browser tab.
+
+* Add automated plotting for CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/352).
+
+* Add benchmarking of CBA indicators against TYNDP 2024 reported values (https://github.com/open-energy-transition/open-tyndp/pull/405).
+
+* Add Market Model outputs to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/458). Additional minor fixes: SMR and SMR with CCS are now reported as a single group, and e-fuels are excluded from hydrogen demand since they are already accounted for in the exogenous demand.
+
+**Changes**
+
+* Improve general assumptions for NT scenario (https://github.com/open-energy-transition/open-tyndp/pull/430). This includes refining assumptions relating to efficiencies, fuel costs and extendable technologies.
+
+* Extend PyPSA-Eur validation schema for configuration files to Open-TYNDP specific configurations (see https://github.com/PyPSA/pypsa-eur/pull/1912) (https://github.com/open-energy-transition/open-tyndp/pull/419). Find a detailed explanation in the contributors documentation.
+
+* Assign CBA method assignment of projects before creation of project network, using data from CBA Implementation Guide (https://github.com/open-energy-transition/open-tyndp/pull/426).
+
+* Fix project capacities in CBA reference network (https://github.com/open-energy-transition/open-tyndp/pull/450).
+
+* Add preprocessing of Market Model benchmark data (https://github.com/open-energy-transition/open-tyndp/pull/372). All relevant Market Model output data is mapped to the naming convention used in the benchmarking plots.
+
+* Enable `io_api` direct mode for CBA rolling horizon to improve performance (https://github.com/open-energy-transition/open-tyndp/pull/402).
+
+**Bugfixes and Compatibility**
+
+* Add virtual TYNDP nodes for IT and LU to `clusted_pop_layout` to enable consistent use of its index when selecting modelled electricity nodes (https://github.com/open-energy-transition/open-tyndp/pull/360).
+
+* Enable unlimited capacity for primary fuel generators in CBA rolling horizon (https://github.com/open-energy-transition/open-tyndp/pull/408).
+
+* Fix processing of H2 demand profiles and PEMMDB profiles for compatibility with the climate year being a leap year like 2008 (https://github.com/open-energy-transition/open-tyndp/pull/414).
+
+* Fix to allow for bidirectional electricity and hydrogen interconnections between offshore hubs (https://github.com/open-energy-transition/open-tyndp/pull/445). To shore connections remain unidirectional as defined in the inputs.
+
+* Improve power generation benchmarking for renewables (https://github.com/open-energy-transition/open-tyndp/pull/457). Reported values now include curtailment.
+
+**Documentation**
+
+* Add documentation describing the CBA workflow and CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/392).
+
+* Explain the Open TYNDP implementation of the scenario approach (https://github.com/open-energy-transition/open-tyndp/pull/449).
+
+* Add FAQ entry for PyPSA v1 compatibility issue (https://github.com/open-energy-transition/open-tyndp/pull/381).
+
+**Developers Note**
+
+* Add scenario column to the `custom_costs.csv` file to allow for shared adjustments across scenarios (https://github.com/open-energy-transition/open-tyndp/pull/361).
+
+* Align the data structure of the TYNDP archives with that of upstream (https://github.com/open-energy-transition/open-tyndp/pull/451). These changes ensure that all the data is retrieved in an identical structure to the primary source, and as individual compressed archives.
+
+* Reformat CBA indicators output CSV to long format and to include units (https://github.com/open-energy-transition/open-tyndp/pull/401).
+
+
+## Open-TYNDP v0.4.2 (23rd January 2026)
+**Features**
+
+* Add automated Windows installer for easy setup on Windows systems (https://github.com/open-energy-transition/open-tyndp/pull/333). The installer bundles pixi, the repository, and sets up the conda environment automatically. Installer executables are automatically built and attached to GitHub releases. See `utils/windows-installer/` for details.
+
+* Integrate Open-TYNDP specific data into the data versioning system introduced upstream (see https://github.com/PyPSA/pypsa-eur/pull/1675) (https://github.com/open-energy-transition/open-tyndp/pull/363). Consequently, the rule `retrieve_additional_tyndp_data` is deprecated.
+
+**Bugfixes and Compatibility**
+
+* Fix Windows compatibility issues and make other minor improvements (https://github.com/open-energy-transition/open-tyndp/pull/357).
+
+* Correct handling of electrolyzer capacities between optimization years (https://github.com/open-energy-transition/open-tyndp/pull/370).
+
+**Documentation**
+
+* Add innovation roadmap comparison, mapping existing or new developments in PyPSA-Eur and Open TYNDP to desired features for TYNDP 2026 (https://github.com/open-energy-transition/open-tyndp/pull/341)
+
+
+## Open-TYNDP v0.4.1 (23rd December 2025)
+**Bugfixes and Compatibility**
+
+* Retrieve countries_centroids.geojson using brotli encoding (https://github.com/open-energy-transition/open-tyndp/pull/334).
+
+* Ensure backward compatibility for custom offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/339).
+
+
+## Open-TYNDP v0.4 (16th December 2025)
+**Features**
+
+* Introduce a workflow structure for performing Cost-Benefit Analysis (CBA) using both TOOT (Take One Out at a Time) and PINT (Put In at a Time) methodologies for TYNDP transmission and storage projects on top of the SB results (https://github.com/open-energy-transition/open-tyndp/pull/149). The workflow structure has rules for retrieving CBA project data, processing transmission and storage projects from Excel exports, creating reference networks, building individual project networks, solving network optimizations, and computing CBA indicators.
+
+* Add the TOOT reference network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/199).
+
+* Add the TOOT project network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/211).
+
+* Add weekly rolling horizon optimization for CBA networks (https://github.com/open-energy-transition/open-tyndp/pull/217). Implements `solve_cba_network` rule for optimizing dispatch of TOOT and PINT reference and project networks.
+
+* Introduce calculation of B1 indicator in the Cost-Benefit Analysis (CBA) based on changes in total system costs (https://github.com/open-energy-transition/open-tyndp/pull/186).
+
+* Add TYNDP conventional thermal generation using PEMMDB capacities, must-runs and availabilities (https://github.com/open-energy-transition/open-tyndp/pull/195).
+
+* Add TYNDP electrolyzer capacities for the National Trends scenario using PEMMDB data (https://github.com/open-energy-transition/open-tyndp/pull/248).
+
+* Add the TYNDP hydrogen demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/169, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/230).
+
+* Add the TYNDP gas demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/208, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/220). Introduces `sector:gas_demand_exogenously` configuration to decide whether to attach this demand to the network. Introduces `benchmarking:remove_last_day` to optionally remove the last day of the year, ensuring the benchmarked values have exactly 52 weeks. Removes `sector:use_industry_load` configuration as industry is now integrated in the exogenous demand.
+
+* Add CO2 emission prices configurable per planning horizon for sector-coupled models (https://github.com/open-energy-transition/open-tyndp/pull/198). The CO2 price is added as a marginal cost on the `co2 atmosphere` Store.
+
+* Improve the overall benchmarking framework by correcting bus mappings for methane supply, biomass supply, and BtL for FED; grouping H2 pipeline imports together (low carbon and renewables); using a new H2 demand figure (Fig. 10 instead of 54) with correct grouping of exogenous demands; reducing EU-wide statistics to EU27 where possible; and improving biomass supply benchmarking with a new figure (Fig. 22 instead of 59) (https://github.com/open-energy-transition/open-tyndp/pull/281).
+
+**Breaking Changes**
+
+* Move all SB scripts to `scripts/sb/` and rules to `rules/sb.smk`, and renamed CBA rules file from `rules/cba/main.smk` to `rules/cba.smk` for consistency (https://github.com/open-energy-transition/open-tyndp/pull/278).
+
+* Rename `clean_tyndp_demand` to `clean_tyndp_electricity_demand` for clarity (https://github.com/open-energy-transition/open-tyndp/pull/272).
+
+**Changes**
+
+* Improve electricity demand processing and benchmarking to achieve an exact match between the benchmarked and reference values (https://github.com/open-energy-transition/open-tyndp/pull/192).
+
+* Adjust solid biomass and biogas potentials to match TYNDP assumptions across all planning horizons, removed unsustainable biomass and biogas shares from potential, and added configuration options to force biomass and biogas potentials (https://github.com/open-energy-transition/open-tyndp/pull/236).
+
+* Adjust the benchmarking configurations to report an approximation of imports for fossil fuels (https://github.com/open-energy-transition/open-tyndp/pull/237) and ensure that the final energy demand for biofuels is reflected correctly (https://github.com/open-energy-transition/open-tyndp/pull/239).
+
+* Add an intermediate scaling factor for hydro plants to match PEMMDB capacities (https://github.com/open-energy-transition/open-tyndp/pull/238, https://github.com/open-energy-transition/open-tyndp/pull/240).
+
+* Adjust the oil land transport demand in order to adjust the liquids demand (https://github.com/open-energy-transition/open-tyndp/pull/250).
+
+* Add the TYNDP CCS assumptions as sequestration potentials (https://github.com/open-energy-transition/open-tyndp/pull/244).
+
+**Bugfixes and Compatibility**
+
+* Fix benchmarking workflow to account for not spatially resolved methane demand and more missing data (https://github.com/open-energy-transition/open-tyndp/pull/205).
+
+* Fix `make tyndp` with the introduction of collect rules for `rulegraph` and `filegraph` (https://github.com/open-energy-transition/open-tyndp/pull/214).
+
+* Correctly attach planning year dependent renewable profiles from PECD to solar and onwind generators (https://github.com/open-energy-transition/open-tyndp/pull/265).
+
+* Correctly attach solar-pv-rooftop generators to low-voltage buses when modelling an electricity distribution grid representation (https://github.com/open-energy-transition/open-tyndp/pull/273).
+
+* Address infeasibilities for DE and GA by adjusting the trajectory of DE00 for the larger existing capacity and by fixing a broadcasting bug in the offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/283).
+
+* Make sector and TYNDP dependent inputs optional in `prepare_sector_network` to avoid triggering unnecessary prerequisite rules and disable `solar_thermal` (https://github.com/open-energy-transition/open-tyndp/pull/293).
+
+* Remove `wget` commands from `retrieve` rules to improve Windows compatibility (https://github.com/open-energy-transition/open-tyndp/pull/304).
+
+* Change the projection for maps to LambertAzimuthalEqualArea and PlateCaree to align with TYNDP 2024 reports (https://github.com/open-energy-transition/open-tyndp/pull/282).
+
+**Documentation**
+
+* Add a FAQ to the documentation (https://github.com/open-energy-transition/open-tyndp/pull/276).
+
+* Add more FAQ questions, set the default solver to HiGHS and fix the default temporal resolution to 52SEG (https://github.com/open-energy-transition/open-tyndp/pull/303).
+
+**Developers Note**
+
+* Ensure compatibility with PyPSA v1 (https://github.com/open-energy-transition/open-tyndp/pull/219).
+
+
+## Open-TYNDP v0.3 (24th October 2025)
+**Features**
+
+* Introduce a benchmarking framework that assesses Open-TYNDP model quality against published TYNDP 2024 data and Visualisation Platform data (https://github.com/open-energy-transition/open-tyndp/pull/73, https://github.com/open-energy-transition/open-tyndp/pull/117). This framework is fully integrated into the Open-TYNDP workflow, with benchmarking results included in the outputs. The methodology leverages a multi-criteria approach proposed by [Wen et al. (2022)](https://www.sciencedirect.com/science/article/pii/S0306261922011667). The rules cover processing raw data from TYNDP 2024 Scenarios packages, extracting Open-TYNDP statistics, computing accuracy metrics, and creating comparison figures. The data are benchmarked against the published TYNDP 2024 data, with figures presenting both sources for comparison.
+
+* Add complete processing and preparation of PECD v3.1 renewable profiles for all renewable technologies: Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind, and Solar CSP (https://github.com/open-energy-transition/open-tyndp/pull/71). These profiles are used in TYNDP 2024 and replace the default ERA5- and SARAH3-based profiles processed with Atlite. The data processing infrastructure for renewable profile creation is complete, but full integration into the model workflow will follow in a subsequent PRs (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139).
+
+* Introduce processing of PEMMDB v2.5 hydro inflows data for different hydro technologies: Run of River, Pondage, Reservoir, Pumped Storage Open Loop, and Pumped Storage Closed Loop (https://github.com/open-energy-transition/open-tyndp/pull/77). The data processing infrastructure for hydro inflow profiles is complete, but full integration into the model workflow will follow in a subsequent release.
+
+* Introduce processing and preparation of PEMMDB v2.5 capacity data, including must-run and availability constraints, and expansion trajectories for conventional and renewable power generation, electrolysers, batteries, and Demand Side Response (DSR) (https://github.com/open-energy-transition/open-tyndp/pull/97). The data processing infrastructure for PEMMDB v2.5 is complete, but full integration into the model workflow will follow in a subsequent release.
+
+* Integrate solar PV and onshore wind technologies using PEMMDB v2.5 capacity data and PECD v3.1 renewable profiles in the model (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139). Offshore wind statistics are also improved to include hydrogen generator capacities (in `MW_e`).
+
+**Changes**
+
+* Generalise the TYNDP data retrieval rule for improved flexibility (https://github.com/open-energy-transition/open-tyndp/pull/101). This rule is intended for removal once all required data has been integrated into the [Zenodo databundle](https://zenodo.org/records/14230568).
+
+* Allow retrieval of PyPSA-Eur cutouts for additional climate years that are not available on Zenodo via direct retrieval from Google Cloud Platform (GCP) (https://github.com/open-energy-transition/open-tyndp/pull/109). Currently, this feature is available for climate year 2009.
+
+* Introduce PECD pre-built dataset to significantly reduce data retrieval requirements (https://github.com/open-energy-transition/open-tyndp/pull/123). Users can either retrieve pre-processed PECD data for climate years 1995, 2008, and 2009 from GCP storage, or build from raw data for any year between 1982 and 2019.
+
+**Bugfixes and Compatibility**
+
+* Fix bugs in PyPSA-Eur's nuclear implementation related to inconsistent modelling as both generators and links, missing country-specific `p_max_pu` profiles, and missing uranium generators (https://github.com/open-energy-transition/open-tyndp/pull/105). Additionally, reintroduce default hydro `renewable_carrier` until TYNDP-specific hydro technologies are fully integrated.
+
+**Developers Note**
+
+* Scripts now use absolute imports. When using `mock_snakemake`, adding the working directory to the PYTHONPATH or in your IDE is required (https://github.com/open-energy-transition/open-tyndp/pull/138).
+
+
+## Open-TYNDP v0.2 (23rd July 2025)
+**Features**
+
+* Introduce TYNDP offshore wind hubs via `sector:offshore_hubs_tyndp` configuration (https://github.com/open-energy-transition/open-tyndp/pull/54). This feature implements an offshore grid topology with both electric and hydrogen infrastructure, offshore electrolysers, and detailed wind farm characteristics. Three wind farm types are supported: AC-radial (ac-r), DC-radial (dc-r) and DC-hubs (dc-oh). Each is compatible with fixed-bottom (fb) or floating (fl) foundations. Wind farms connected to hubs can produce hydrogen directly through a dedicated P2G unit, while electricity can be supplied to the network or converted to hydrogen via offshore electrolysers connected to the hubs. The network includes existing capacities, with capacity expansion constrained by technological potential and evolving zone potential.
+
+* Add processing and preparation of TYNDP 2024 PECD v3.1 renewable profiles, replacing default ERA5-based profiles processed with Atlite (https://github.com/open-energy-transition/open-tyndp/pull/53). Initial implementation first addresses profiles for offshore technologies.
+
+* Add TYNDP hydrogen import potentials and corridors from outside of the modelled countries (https://github.com/open-energy-transition/open-tyndp/pull/36). Notably this includes pipelines and shipping imports from North Africa, Ukraine and Norway. Different import potentials are available for each of the planning years which are differentiated by wildcards.
+
+* Add the TYNDP electricity demand as an exogenously set demand (https://github.com/open-energy-transition/open-tyndp/pull/14). This requires the default PyPSA-Eur modelling to be explicitly disabled. The TYNDP electricity demand depends on the planning year, necessitating a different approach to the default PyPSA-Eur one. Wildcards are introduced and load is attached in `prepare_sector_network`.
+
+* Add a dedicated [Open-TYNDP documentation](https://open-tyndp.readthedocs.io/en/latest/) website (https://github.com/open-energy-transition/open-tyndp/pull/80).
+
+**Changes**
+
+* Feat: update cutout retrieval of 1w cutout (https://github.com/open-energy-transition/open-tyndp/pull/41)
+
+* Refactor: TYNDP H2 reference grid in line with using planning_horizon for filtering the tyndp year (https://github.com/open-energy-transition/open-tyndp/pull/37)
+
+* Add a TYNDP specific CI (https://github.com/open-energy-transition/open-tyndp/pull/26)
+
+* Remove ch-ibit H2 pipeline capacity for 2030 H2 reference grid (https://github.com/open-energy-transition/open-tyndp/pull/27)
+
+**Bugfixes and Compatibility**
+
+* Fix: fix the docstring of build_tyndp_h2_network.py (https://github.com/open-energy-transition/open-tyndp/pull/40)
+
+* Refactor: rename `build_tyndp_h2_import_potentials` to `build_tyndp_h2_imports` (https://github.com/open-energy-transition/open-tyndp/pull/50)
+
+* Refactor: consolidate `tyndp_scenario` configurations into a single configuration entry (https://github.com/open-energy-transition/open-tyndp/pull/51)
+
+
+## PyPSA-Eur v2025.07.0 (11th July 2025, merged 24th July 2025)
+
+
+**Features**
+
+* Introduce the ability to use the bidding zones as administrative zones for the
+  clustering. This also introduces the ability to create a custom `busmap`
+  from custom `busshapes`. To use bidding zones as clustering mode, a `bz`
+  mode has been introduced for `administrative` clustering. This feature is
+  compatible with the general NUTS clustering approach. Custom `busshapes`
+  must be provided as
+  `data/busshapes/base_s_{clusters}_{base_network}.geojson`.
+  ([#1578](https://github.com/PyPSA/pypsa-eur/pull/1578))
+
+* Added aquifer thermal energy storage (ATES) to district heating. Some
+  parameters (CAPEX, standing losses) might require tuning by the user.
+  Eligibility computation is simplified. Turned off by default.
+  ([#1665](https://github.com/PyPSA/pypsa-eur/pull/1665))
+
+* Added supplemental heating of thermal energy storage (PTES). This can be
+  enabled by setting: ``sector: district_heating: ptes: supplemental_heating:
+  true``. To enable a boosting heat pump as the supplemental heating
+  technology, use: ``sector: district_heating: ptes: supplemental_heating:
+  booster_heat_pump: true``. ([#1692](https://github.com/PyPSA/pypsa-eur/pull/1692))
+
+**Breaking Changes**
+
+* Consolidated gap-filling strategies options under a new configuration section
+  `load: fill_gaps`. ([#1677](https://github.com/PyPSA/pypsa-eur/pull/1677))
+
+* Replaced pinned environment files with conda-lock generated lock files for
+  better dependency resolution and cross-platform reproducibility. Deprecated
+  old `-pinned.yaml` files with migration instructions. These files will not
+  be updated anymore and will be removed in a future release.
+  ([#1660](https://github.com/PyPSA/pypsa-eur/pull/1660))
+
+**Changes**
+
+* Adjusted a series of default values in `config.default.yaml`.
+
+* Non-sequestered high-value chemicals (e.g. plastic waste) is now allocated
+  based on the population instead of production. It can be either burned without
+  energetic utilization or, optionally, in CHPs.
+  ([#1625](https://github.com/PyPSA/pypsa-eur/pull/1625))
+
+* Allow district heating potentials to be specified as a dictionary, with
+  country codes as keys for `district_heating: potential:`.
+  ([#1742](https://github.com/PyPSA/pypsa-eur/pull/1742))
+
+* Added configuration option for setting `links: p_min_pu`.
+  ([#1637](https://github.com/PyPSA/pypsa-eur/pull/1637))
+
+* Use of `agg_p_nom_limits` now allows aggregating all `solar` electric
+  technologies. Offshore floating wind (`offwind-float`)  was added.
+  ([#1725](https://github.com/PyPSA/pypsa-eur/pull/1725),
+  [#1727](https://github.com/PyPSA/pypsa-eur/pull/1727))
+
+* The file `config/config.yaml` is now fully optional.
+  ([#1745](https://github.com/PyPSA/pypsa-eur/pull/1745))
+
+* Small plotting improvements.
+  ([#1694](https://github.com/PyPSA/pypsa-eur/pull/1694)[#1727](https://github.com/PyPSA/pypsa-eur/pull/1727))
+
+* The `plotting|map|color_geomap` was renamed to `plotting|map|geomap_colors` to align
+  with the new PyPSA API.
+
+**Bugfixes and Compatibility**
+
+* Select correct capital costs for floating offshore wind. Previously, the same
+  as for offshore wind were used. ([#1701](https://github.com/PyPSA/pypsa-eur/pull/1701))
+
+* Efficiency correction for electrobiofuels.
+  ([#1683](https://github.com/PyPSA/pypsa-eur/pull/1683))
+
+* Configuration settings for heat pump COP approximation are now correctly
+  used. ([#1729](https://github.com/PyPSA/pypsa-eur/pull/1729))
+
+* In [add_existing_baseyear][], renewable carriers are only added if listed
+  in `electricity: renewable_carriers:`.
+  ([#1717](https://github.com/PyPSA/pypsa-eur/pull/1717))
+
+* Ensure that distribution losses are only deducted from electricity demand when
+  distribution losses are modelled.
+  ([#1668](https://github.com/PyPSA/pypsa-eur/pull/1668))
+
+* Sanitize columns in [add_brownfield][].
+  ([#1676](https://github.com/PyPSA/pypsa-eur/pull/1676))
+
+* Adjustments to upcoming PyPSA API changes.
+  ([#1720](https://github.com/PyPSA/pypsa-eur/pull/1720),
+  [#1750](https://github.com/PyPSA/pypsa-eur/pull/1750))
+
+* Ensure consistent use of wildcards in [build_renewable_profiles][] for
+  `run: shared_resources: policy: base`.
+  ([#1641](https://github.com/PyPSA/pypsa-eur/pull/1641))
+
+* Ensure solver logs are written to file.
+  ([#1684](https://github.com/PyPSA/pypsa-eur/pull/1684))
+
+* DAG generation (`rulegraph` and `filegraph`) now correctly utilizes all
+  configuration sources (default, file-based, and command-line overrides),
+  resolving an issue where visualizations could misrepresent the actual workflow
+  execution plan. SVG output format has also been added for these graphs, and
+  error handling during graph generation has been enhanced.
+  ([#1678](https://github.com/PyPSA/pypsa-eur/pull/1678))
+
+* Chore: Replace licensing information in `.reuse/dep5` with `REUSE.toml` to
+  be compliant with REUSE 3.2
+  (https://reuse.software/spec-3.2/#licensing-information).
+  ([#1739](https://github.com/PyPSA/pypsa-eur/pull/1739))
+
+* Windows compatibility improvements.
+  ([#1602](https://github.com/PyPSA/pypsa-eur/pull/1602),
+  [#1702](https://github.com/PyPSA/pypsa-eur/pull/1702))
+
+**Developers Note**
+
+* Scripts now use absolute imports. When using `mock_snakemake`, adding the
+  working directory to the PYTHONPATH or in your IDE is required.
+  ([#1643](https://github.com/PyPSA/pypsa-eur/pull/1643))
+
+
+## PyPSA-Eur v2025.04.0 (6th April 2025)
+
+**Features**
+
+
+* Allowing **network clustering based on administrative boundaries** (i.e.,
+  NUTS0/country-level to NUTS3).  To make use of this setting, set ``clustering:
+  mode: administrative` and `scenario: clusters: ["adm"]``. Optionally,
+  include a dictionary of individual country codes and their target NUTS level
+  resolution (0 to 3). Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK'
+  can only be clustered to level 0 and 1.
+  ([#1502](https://github.com/PyPSA/pypsa-eur/pull/1502),
+  [#1580](https://github.com/PyPSA/pypsa-eur/pull/1580))
+
+    - Moved setting `enable: custom_busmap` to `clustering: mode: custom_busmap`.
+
+* Added support for spanning **multiple consecutive, non-consecutive or
+  meteorological (July-June) weather years** in one optimisation model. The
+  annualised capital costs, energy limits and loads are multiplied by the number
+  of years. To calculate the total annualised system costs, divide the total
+  costs by the number of years. To include multiple years, configure the range
+  in `snapshots:` and provide the list of associated cutouts in ``atlite:
+  default_cutouts:``. ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
+
+    - All cutout references in `config.default.yaml` can now be specified by a
+      list of cutouts which will be concatenated along the time dimension.
+
+    - All cutout references in `config.default.yaml` now default to ``atlite:
+      default_cutout:``.
+
+    - In [build_hydro_profile][], when subannual periods are used but full-year
+      cutouts are available, the hydro profile is now first calculated for the
+      full year(s) and then sliced to the subannual periods. This is to align
+      better with the normalization process that uses annual EIA statistics.
+
+    - In [build_snapshot_weightings][], the resampling will now be applied separately
+      for each year covered in the snapshots. This prevents snapshots that
+      overflow into the next year, which simplifies running non-contiguous
+      periods.
+
+    - The files `data/era5-annual-{HDD,runoff}-per-country.csv` are now daily
+      resolved and were moved into the data bundle
+      `data/bundle/era5-{HDD,runoff}-per-country.csv`.
+
+* Support for multiple **resource classes for wind and solar** to use more
+  accurate renewable potentials and time series when the spatial resolution
+  is low ([#1481](https://github.com/PyPSA/pypsa-eur/pull/1481)):
+
+    - Splits renewable potentials and time series into a configurable number of
+      resource classes per carrier and clustered region. The binning is linear
+      based on the average capacity factors.
+
+    - With the setting `renewables: onwind: resource_classes: 4`, each region
+      would have four onshore wind generators, each with different potential
+      (`p_nom_max`) and capacity factor (`p_max_pu`). The same applies to
+      solar PV and offshore wind.
+
+    - The default number of resource classes is kept at one per cluster.
+
+    - In [build_renewable_profiles][], a new dimension "bin" is added to the
+      output (`xarray.Dataset`). The resource classes are numbered from 0
+      (lowest) to N (highest).
+
+    - Additionally, a new `.geojson` file of clustered regions split by resource
+      classes is exported, which is is used in [add_electricity][] and
+      [build_clustered_solar_rooftop_potentials][] to assign existing wind and
+      solar capacities to the correct combination of bus and resource class.
+      Within a clustered region, the resource classes do not have to be
+      contiguous.
+
+* Added simplified representation of **renewable energy imports**
+  ([#1583](https://github.com/PyPSA/pypsa-eur/pull/1583)):
+
+    - Can be activated with `sector: imports: enable: true`.
+
+    - Allows hydrogen, ammonia, methanol, gas and Fischer-Tropsch oil with
+      configurable prices (`sector: imports: prices:`).
+
+    - Methane imports use existing LNG terminal entry points, hydrogen imports use
+      existing pipeline entry points.
+
+    - Simplification: Import prices are uniform across all regions.
+
+    - Carbon content of imported fuels is handled like biomass.
+
+    - Total volume of imports can be limited with `sector: imports: limit:`. The
+      limit includes synthetic and biomass imports (``sector:
+      solid_biomass_import:``), but not fossil fuel imports.
+
+* Improved **automated plotting** of results
+  ([#1589](https://github.com/PyPSA/pypsa-eur/pull/1589),
+  [#1590](https://github.com/PyPSA/pypsa-eur/pull/1590),
+  [#1626](https://github.com/PyPSA/pypsa-eur/pull/1626)):
+
+    - Moved plotting configuration from `config/config.default.yaml` to
+      `config/plotting.default.yaml`. The plotting configuration is now separated
+      from the main configuration file.
+
+    - Added rule `plot_balance_maps` for plotting energy balance maps. The plots
+      are saved in `results/maps/*` and can be configured in
+      `plotting.default.yaml` under `plotting: balance_maps`.
+
+    - Added new rule [plot_balance_timeseries][] to plot energy balance time
+      series for the whole year at daily resolution and for each month at
+      model-native resolution.
+
+    - Added new rule [plot_heatmap_timeseries][] for plotting configuration of
+      heatmap time series, including options for marginal prices, utilisation rates,
+      and state of charge.
+
+* Extended pre-built [weather data cutouts](https://zenodo.org/records/14936211). Cutouts are now available for the
+  years 1996, 2010, 2012, 2013, 2019, 2020 and 2023.
+  ([#1559](https://github.com/PyPSA/pypsa-eur/pull/1559))
+
+* Added option to specify the cutout directory in the configuration file. This
+  allows to the user to specify the directory where the cutouts are stored. Use
+  it by setting `atlite: cutout_directory:` in the configuration file.
+  ([#1515](https://github.com/PyPSA/pypsa-eur/pull/1515))
+
+- Implemented an energy-to-power ratio constraint for thermal energy storage
+  (TES), linking the storage capacity to the corresponding charger capacity.
+  Additionally, chargers and dischargers are now sized proportionally through a
+  unified constraint. ([#1546](https://github.com/PyPSA/pypsa-eur/pull/1546))
+
+* Added option to calculate dynamic storage capacities for pit thermal energy
+  storage using the `e_max_pu` attribute. The dynamic capacities are
+  calculated in the new rule `build_tes_capacity_profiles`.
+  ([#1612](https://github.com/PyPSA/pypsa-eur/pull/1612))
+
+* Added a configuration to disable transmission efficiency for some carriers.
+  ([#1631](https://github.com/PyPSA/pypsa-eur/pull/1631))
+
+* Added the options to overwrite investment, lifetime, FOM, VOM, efficiency and
+  fuel attributes from the configuration file under `costs: overwrites:`. This
+  mimics the existing capital and marginal cost behaviour.
+  ([#1532](https://github.com/PyPSA/pypsa-eur/pull/1532),
+  [#1565](https://github.com/PyPSA/pypsa-eur/pull/1565))
+
+* Added rule [build_co2_sequestration_potentials][], which processes the raw
+  data from `CO2Stop
+  <https://setis.ec.europa.eu/european-co2-storage-database_en>`_. Integrated
+  from separate repository (https://github.com/ericzhou571/Co2Storage).
+  ([#1606](https://github.com/PyPSA/pypsa-eur/pull/1606))
+
+* Added option to pass `linopy.Model` keyword arguments through
+  `config.default.yaml`. ([#1596](https://github.com/PyPSA/pypsa-eur/pull/1596))
+
+* Added option to create `snakemake filegraph` and `snakemake rulegraph`.
+  ([#1574](https://github.com/PyPSA/pypsa-eur/pull/1574))
+
+**Changes**
+
+* Refactor of [make_summary][]
+  ([#1573](https://github.com/PyPSA/pypsa-eur/pull/1573)):
+
+    - Computes summaries for only a single network at a time.
+
+    - Concatenation is outsourced to new rule [make_global_summary][].
+
+    - Rule no longer depends on network plots; use the `all` collection rule to
+      generate summaries and plots.
+
+    - Calculation of cumulative costs for myopic foresight networks was moved to
+      [make_cumulative_costs][].
+
+    - Rewrote functions in [make_summary][] to use PyPSA statistics module
+      more.
+
+    - Inferral of component locations was made more robust. The revised function
+      uses `n.buses.location` rather than the index strings. Components inherit
+      the location of the bus they connect to with the highest spatial resolution.
+
+    - The file `supply.csv` was **removed**; the file `price_statistics.csv`
+      was **removed and integrated** into `metrics.csv`; the files
+      `supply_energy.csv`, `nodal_supply_energy.csv`, `cfs.csv`,
+      `nodal_cfs.csv` were **renamed** to `energy_balance.csv`,
+      `nodal_energy_balance.csv`, `capacity_factors.csv`,
+      `nodal_capacity_factors.csv`.
+
+    - The order of the MultiIndex levels changed but are now consistently named
+      and documented; the index level "component" now uses capitalised component
+      names rather than lower case list names (e.g. "Generator" instead of
+      "generators").
+
+    - The plotting functions in [plot_summary][] have been updated to reflect
+      the changes in the summary files.
+
+* Unified the functions `load_costs` in [add_electricity][] and
+  `prepare_costs` in [prepare_sector_network][] into a single function
+  `load_costs` in [add_electricity][]. For sector-coupled networks,
+  annualised investment costs are now referred to as "capital_cost" instead of
+  "fixed". ([#1566](https://github.com/PyPSA/pypsa-eur/pull/1566),
+  [#1567](https://github.com/PyPSA/pypsa-eur/pull/1567))
+
+* In [prepare_sector_network][], split shipping and aviation sector from
+  `add_industry()` into separate function and configuration setting. To mirror
+  previous behaviour of setting `sector: industry: true`, also set ``sector:
+  shipping: true` and `sector: aviation: true``.
+  ([#1607](https://github.com/PyPSA/pypsa-eur/pull/1607))
+
+* Replaced renewable capacity estimation from OPSD VRE data with an estimation
+  based on Global Energy Monitor (GEM) data. The corresponding setting was
+  renamed from `from_opsd` to `from_gem`.
+  ([#1481](https://github.com/PyPSA/pypsa-eur/pull/1481))
+
+* Functionality reduction: The technology mapping from `powerplantmatching`
+  now has to be a 1:1 rather than a 1:n mapping.
+  ([#1481](https://github.com/PyPSA/pypsa-eur/pull/1481))
+
+* Geothermal heat potentials are now restricted to those in close proximity to
+  future district heating areas as projected by Manz et al. 2024.
+  ([#1516](https://github.com/PyPSA/pypsa-eur/pull/1516))
+
+* Introduced the option to vent heat in all heating systems at given marginal
+  cost and added a small marginal cost for water tank charging to improve
+  numerics. Renamed config setting for marginal cost of home-battery charging to
+  `marginal_cost_home_battery_storage`.
+  ([#1563](https://github.com/PyPSA/pypsa-eur/pull/1563))
+
+* Included the fuel name as part of the carrier attribute for CHP plants added
+  in [prepare_sector_network][].
+  ([#1622](https://github.com/PyPSA/pypsa-eur/pull/1622))
+
+* Updated EIA hydro-electricity statistics up to end of 2023.
+  ([#1543](https://github.com/PyPSA/pypsa-eur/pull/1543))
+
+* Reduce pipeline entrypoints to country coverage. Exclude Russia and Belarus.
+  ([#1582](https://github.com/PyPSA/pypsa-eur/pull/1582))
+
+* Rules of `validate.smk` have been removed to consolidate the volume of code
+  to maintain. ([#1581](https://github.com/PyPSA/pypsa-eur/pull/1581))
+
+* Use consistent function scope and avoid use of global variables to make
+  functions in `add_*`, `prepare_*` and `solve_*` modular and portable.
+  ([#1537](https://github.com/PyPSA/pypsa-eur/pull/1537),
+  [#1549](https://github.com/PyPSA/pypsa-eur/pull/1549))
+
+* Enable running `mock_snakemake` from a separate working directory.
+  ([#1571](https://github.com/PyPSA/pypsa-eur/pull/1571))
+
+* Add customisable memory logging frequency for [solve_network][].
+  ([#1521](https://github.com/PyPSA/pypsa-eur/pull/1521))
+
+* The `config/config.yaml` will no longer be created when running snakemake. It will
+  still be used by the workflow if it exists, but ignored otherwise and is not required.
+  See [defaultconfig](configuration.md#defaultconfig) for more information.
+  ([#1649](https://github.com/PyPSA/pypsa-eur/pull/1649))
+
+**Bugfixes and Compatibility**
+
+* Support for Snakemake 9. This is the new minimum version.
+  ([#1619](https://github.com/PyPSA/pypsa-eur/pull/1619))
+
+* Support newer HiGHS versions. ([#1528](https://github.com/PyPSA/pypsa-eur/pull/1528))
+
+* Use `pyscipopt` from PyPI. ([#1524](https://github.com/PyPSA/pypsa-eur/pull/1524))
+
+* Conda: Remove defaults channel from `conda`` setup and use strict channel
+  priority. ([#1554](https://github.com/PyPSA/pypsa-eur/pull/1554))
+
+* Fail on solving status 'warning' because results are likely not valid.
+  ([#1591](https://github.com/PyPSA/pypsa-eur/pull/1591))
+
+* Bugfix in [build_snapshot_weightings][]. The resampling produces a contiguous date
+  range. In case the original index was not contiguous, all rows with zero
+  weight must be dropped (corresponding to time steps not included in the
+  original snapshots). ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
+
+* Bugfix in [build_snapshot_weightings][]. Avoid that aggregated snapshot indices land
+  on February 29th in leap years when `enable: drop_leap_day: true`.
+  ([#1613](https://github.com/PyPSA/pypsa-eur/pull/1613))
+
+* Bugfix: Handled missing geothermal potential data for the United Kingdom if
+  geothermal is included for direct utilisation or as heat pump source. The
+  config parameter ``sector: district_heating: limited_heat_sources: geothermal:
+  ignore_missing_regions`` can be used to either terminate the workflow throwing
+  an error (default: `true`) or assign 0 values to missing regions and
+  continue the workflow (`false`). ([#1617](https://github.com/PyPSA/pypsa-eur/pull/1617))
+
+* Bugfix: Changed setting `central_heat_vent` (default: `true`), because the
+  water tanks charger and discharger were used as heat vents.
+  ([#1556](https://github.com/PyPSA/pypsa-eur/pull/1556))
+
+* Bugfix: Fix `if` clause in [prepare_sector_network][] function
+  `add_methanol()` ([#1632](https://github.com/PyPSA/pypsa-eur/pull/1632)).
+
+* Bugfix: Fix matching of Swiss regions (CH) in unsustainable biomass potential
+  calculation. ([#1585](https://github.com/PyPSA/pypsa-eur/pull/1585))
+
+* Bugfix: Fix nuclear `p_max_pu` time series for greenfield nuclear.
+  ([#1519](https://github.com/PyPSA/pypsa-eur/pull/1519))
+
+* Bugfix: Ensure correct `dtype` for the "reversed" column of links.
+  ([#1525](https://github.com/PyPSA/pypsa-eur/pull/1525))
+
+* Bugfix: Ignore keyboard interrupt in memory logging subprocess.
+  ([#1555](https://github.com/PyPSA/pypsa-eur/pull/1555))
+
+* Bugfix: Change WDPA download rules to use shutil instead
+  of shell commands to properly function on Windows.
+  ([#1575](https://github.com/PyPSA/pypsa-eur/pull/1575))
+
+* Bugfix: Added setting `run: use_shadow_directory:` (default: `true`) which
+  sets the `shadow` parameter of the snakemake workflow. Configuring to
+  `true` sets snakemake `shadow` parameter to `shalloow`, `false` to
+  `Ǹone`. Should be set to `false`` for those cases, where snakemake has an
+  issue with finding missing input/output files in solving rules.
+  ([#1535](https://github.com/PyPSA/pypsa-eur/pull/1535))
+
+
+## Open-TYNDP v0.1 (14th April 2025)
+**Features**
+
+* Added option to use the TYNDP H2 topology including the TYNDP H2 reference grid,
+  H2 Z1 and Z2 setup, production, reconversion and storage technologies (https://github.com/open-energy-transition/open-tyndp/pull/17/).
+
+* Introduce a new base network using TYNDP 2024 data (https://github.com/open-energy-transition/open-tyndp/pull/18/).
+
+**Changes**
+
+* Add fictive hydrogen demand using industry (https://github.com/open-energy-transition/open-tyndp/pull/25/).
+
+* Refactoring of `add_storage_and_grids` in `prepare_sector_network` into multiple distinct functions
+  for easier readability and adjustability (https://github.com/open-energy-transition/open-tyndp/pull/20/).
+
+
+## PyPSA-Eur v2025.01.0 (24th January 2025)
+
+!!! note
+    With this version, PyPSA-Eur switches to [CalVer](https://calver.org/) versioning.
+
+**Features**
+
+* Introduce geothermal district heating, including direct utilisation and heat
+  pumps, using potentials from [Manz et al. 2024: Spatial analysis of renewable and excess heat potentials for climate-neutral district heating in Europe](https://www.sciencedirect.com/science/article/pii/S0960148124001769).
+  ([#1359](https://github.com/PyPSA/pypsa-eur/pull/1359))
+
+* Added option to reduce central heating forward temperatures by annual
+  percentage (see rule `build_central_heating_temperature_profiles`). This
+  makes COP profiles and heat pump efficiencies planning-horizon-dependent.
+  Myopic and perfect foresight modes were adjusted accordingly to update COPs of
+  existing heat pumps in preceding years to adjusted temperatures.
+  ([#1290](https://github.com/PyPSA/pypsa-eur/pull/1290))
+
+* Allow CHPs to use different fuel sources such as gas, oil, coal, and methanol.
+  Note that the cost assumptions are based on a gas CHP (except for solid
+  biomass-fired CHP). ([#1392](https://github.com/PyPSA/pypsa-eur/pull/1392),
+  [#1414](https://github.com/PyPSA/pypsa-eur/pull/1414))
+
+* Add a rule to create a `filegraph` dag and rename `dag` rule as `rulegraph`. ([#1574](https://github.com/PyPSA/pypsa-eur/pull/1574))
+
+**Breaking Changes**
+
+* Rearranged workflow to cluster the electricity network before calculating
+  renewable profiles and adding further electricity system components.
+  ([#1201](https://github.com/PyPSA/pypsa-eur/pull/1201))
+
+    - Moved rules `simplify_network` and `cluster_network` before
+      `add_electricity` and `build_renewable_profiles`.
+
+    - Split rule `build_renewable_profiles` into two separate rules,
+      `determine_availability_matrix` for land eligibility analysis and
+      `build_renewable_profiles`, which now only computes the profiles and total
+      potentials from the pre-computed availability matrix.
+
+    - Removed variables `weight`, `underwater_fraction`, and `potential`
+      from the output of `build_renewable_profiles` as it is no longer needed.
+
+    - HAC-clustering is now based on wind speeds and irradiation time series
+      rather than capacity factors of wind and solar power plants.
+
+    - Added new rule `build_hac_features` that aggregates cutout weather data to
+      base regions in preparation for `cluster_network`.
+
+    - Removed `{simpl}` wildcard and all associated code of the `m` suffix of
+      the `{cluster}` wildcard. This means that the option to pre-cluster the
+      network in `simplify_network` was removed. It will be superseded by
+      clustering renewable profiles and potentials within clustered regions by
+      resource classes soon.
+
+    - Added new rule `add_transmission_projects_and_dlr` which adds the outputs
+      from `build_line_rating` and `build_transmission_projects` to the output
+      of `base_network`.
+
+    - The rule `add_extra_components` was integrated into `add_electricity`
+
+    - Added new rule `build_electricity_demand_base` to determine the load
+      distribution of the substations in the base network (which was previously
+      done in `add_electricity`). This time series is used as weights for
+      kmeans-clustering in `cluster_network` and is later added to the network
+      in `add_electricity` in aggregated form.
+
+    - The weights of the kmeans clustering algorithm are now exclusively based on
+      the load distribution. Previously, they also included the distribution of
+      thermal capacity.
+
+    - Since the networks no longer start with the whole electricity system added
+      pre-clustering, the files have been renamed from `elec...nc` to
+      `base...nc` to identify them as derivatives of `base.nc`.
+
+    - The scripts `simplify_network.py` and `cluster_network.py` were
+      simplified to become less nested and profited from the removed need to deal
+      with cost data.
+
+    - New configuration options to calculate connection costs of offshore wind
+      plants. Offshore connection costs are now calculated based on the underwater
+      distance to the shoreline plus a configurable `landfall_length` which
+      defaults to 10 km. Previously the distance to the region's centroid was
+      used, which is not practical when the regions are already aggregated.
+
+* Removed `{ll}` wildcard. This is now a configuration option ``electricity:
+  transmission_limit:`, defaulting to `vopt``. All previous options of the
+  `{ll}` wildcard are also now available within the `{opts}` wildcard (e.g.
+  as `-lv1.25-`). ([#1472](https://github.com/PyPSA/pypsa-eur/pull/1472))
+
+* Breaking change: The location of several network files has changed to
+  distinguish more clearly between solved and unsolved networks. Unsolved
+  networks that were previously stored in `results/{run}/prenetworks` are now
+  placed in `resources/{run}/networks`. Solved networks that were previously
+  stored in `results/{run}/postnetworks` are now stored in
+  `results/{run}/networks`. Brownfield networks are identified by a
+  `_brownfield` suffix in their filename.
+
+* Replaced the store representation of biogenic carriers (solid biomass, biogas,
+  bioliquids, MSW) in [prepare_sector_network][] with generators using
+  attributes `e_sum_min` and `e_sum_max` to enforce minimum usage and limit
+  maximum potential, respectively.
+  ([#1373](https://github.com/PyPSA/pypsa-eur/pull/1373))
+
+* Aligned the configuration setting for the CO2 network with other similar
+  settings (changed from `co2network` to `co2_network`).
+  ([#1438](https://github.com/PyPSA/pypsa-eur/pull/1438))
+
+* Added options `biosng_cc` and `biomass_to_liquid_cc` to separate the base
+  technology from the option to capture carbon from it.
+  ([#1298](https://github.com/PyPSA/pypsa-eur/pull/1298))
+
+**Changes**
+
+* The building process of the base network from OpenStreetMap was revised. The
+  code was rewritten to improve the speed, accuracy and to preserve the topology
+  including original substation locations, wherever possible. The latest
+  `osm-prebuilt` data is version v0.6 at https://zenodo.org/records/14144752.
+  ([#1384](https://github.com/PyPSA/pypsa-eur/pull/1384),
+  [#1387](https://github.com/PyPSA/pypsa-eur/pull/1387),
+  [#1431](https://github.com/PyPSA/pypsa-eur/pull/1431))
+
+* The shapes for countries and administrative regions have been updated. The
+  workflow has been modified to use higher resolution and more harmonised shapes
+  (NUTS3 2021 01M data and OSM administration level 1 for non-NUTS3 countries,
+  such as BA, MD, UA, and XK). Data sources for population and GDP per capita
+  p.c. have been updated to [JRC ARDECO](https://urban.jrc.ec.europa.eu/ardeco), using values for 2019. The rule
+  `build_gdp_pop_non_nuts3` is now integrated into [build_shapes][] and
+  extended to build regional values for all non-NUTS3 countries.
+  ([#1479](https://github.com/PyPSA/pypsa-eur/pull/1479))
+
+* The default configuration for the emission reduction path in myopic pathway
+  planning mode has been changed to align more closely with policy targets
+  (`co2_budget:`). ([#1399](https://github.com/PyPSA/pypsa-eur/pull/1399))
+
+* Consider the planning horizon for biomass potentials calculation. Previously,
+  the biomass potential year could be chosen independently of the current
+  planning horizon. ([#1311](https://github.com/PyPSA/pypsa-eur/pull/1311))
+
+* Update locations and capacities of ammonia plants.
+  ([#1471](https://github.com/PyPSA/pypsa-eur/pull/1471))
+
+* NEP transmission projects are updated to HTLS lines.
+  ([#1348](https://github.com/PyPSA/pypsa-eur/pull/1348))
+
+* Added 98% imperfect capture rate of Allam cycle gas turbine.
+  ([#1298](https://github.com/PyPSA/pypsa-eur/pull/1298))
+
+* Improved `sanitize_carrier` function by filling in colors of missing
+  carriers. ([#1400](https://github.com/PyPSA/pypsa-eur/pull/1400))
+
+* In post-discretizing network elements, add a configuration option to allow a
+  fractional last unit size. ([#1309](https://github.com/PyPSA/pypsa-eur/pull/1309))
+
+**Bugfixes and Compatibility**
+
+* The length factor on the transmission lines haversine length was applied
+  twice, once when calculating costs and once when clustering the network. Now
+  it is only applied when calculating costs.
+  ([#1511](https://github.com/PyPSA/pypsa-eur/pull/1511))
+
+* Vehicle-to-grid dispatch capacity is now limited by the fraction of vehicles
+  participating in demand-side-management, halving the dispatch capacity under
+  the default demand-side management participation rate of 0.5.
+  ([#1423](https://github.com/PyPSA/pypsa-eur/pull/1423))
+
+* Demand for ammonia was double-counted at current/near-term planning horizons
+  with `sector: ammonia: true`. ([#1312](https://github.com/PyPSA/pypsa-eur/pull/1312))
+
+* Duplicates found in [build_transmission_projects][] are now correctly
+  removed from the network. ([#1360](https://github.com/PyPSA/pypsa-eur/pull/1360))
+
+* Ensure `s_max_pu` are correctly set for transmission projects.
+  ([#1323](https://github.com/PyPSA/pypsa-eur/pull/1323))
+
+* Correctly reduce gas pipeline retrofit potentials in myopic pathway planning
+  mode. ([#1258](https://github.com/PyPSA/pypsa-eur/pull/1258))
+
+* The missing lifetime attribute was added to hydrogen steel tanks, which is
+  important for pathway planning. ([#1510](https://github.com/PyPSA/pypsa-eur/pull/1510))
+
+* Ensure all links with capital costs have a lifetime. This is important for
+  pathway planning. ([#1319](https://github.com/PyPSA/pypsa-eur/pull/1319))
+
+* Resolved a bug which occurred when multiple DC links are connected to the same
+  DC bus and the DC bus is connected to an AC bus via a converter. In this case,
+  the DC links were wrongly simplified, completely dropping the shared DC bus.
+  ([#1381](https://github.com/PyPSA/pypsa-eur/pull/1381),
+  [#1507](https://github.com/PyPSA/pypsa-eur/pull/1507))
+
+* Waste CHPs are now added only to buses with district heating. Previously they
+  were added to all regions. ([#1407](https://github.com/PyPSA/pypsa-eur/pull/1407))
+
+* Fixed VOM, emissions and efficiencies of methanol-to-kerosene links.
+  ([#1317](https://github.com/PyPSA/pypsa-eur/pull/1317),
+  [#1320](https://github.com/PyPSA/pypsa-eur/pull/1320),
+  [#1376](https://github.com/PyPSA/pypsa-eur/pull/1376))
+
+* Existing heating data in `build_existing_heating_distribution` and the
+  indexing of existing heat pumps for the COP correction in
+  [add_brownfield][] have been adjusted so that myopic pathways work with the
+  geothermal district heating. ([#1453](https://github.com/PyPSA/pypsa-eur/pull/1453))
+
+* Adjusted `efficiency2` (to atmosphere) for bioliquids-to-oil link in
+  [prepare_sector_network][] to correctly offset the corresponding oil
+  emissions. ([#1410](https://github.com/PyPSA/pypsa-eur/pull/1410))
+
+* Add `{sector_opts}` wildcard to [build_snapshot_weightings][].
+  ([#1307](https://github.com/PyPSA/pypsa-eur/pull/1307))
+
+* Resolved a problem where excluding certain countries from `countries`
+  configuration led to clustering errors.
+  ([#1308](https://github.com/PyPSA/pypsa-eur/pull/1308))
+
+* The environment `envs/retrieve.yaml` was removed. Retrieval rules now use
+  `envs/environment.yaml`. ([#1509](https://github.com/PyPSA/pypsa-eur/pull/1509))
+
+* Logging files are created more comprehensively.
+  ([#1508](https://github.com/PyPSA/pypsa-eur/pull/1508),
+  [#1421](https://github.com/PyPSA/pypsa-eur/pull/1421))
+
+* Link for monthly CO2 prices was fixed.
+  ([#1485](https://github.com/PyPSA/pypsa-eur/pull/1485))
+
+* Current `rasterio` versions supported.
+  ([#1480](https://github.com/PyPSA/pypsa-eur/pull/1480))
+
+* Compatibility with `powerplantmatching<=0.6`.
+  ([#1490](https://github.com/PyPSA/pypsa-eur/pull/1490))
+
+* Compatibility with `pypsa==0.32`.
+  ([#1316](https://github.com/PyPSA/pypsa-eur/pull/1316),
+  [#1445](https://github.com/PyPSA/pypsa-eur/pull/1445))
+
+* Maximum `snakemake` version is currently 8.24.
+  ([#1440](https://github.com/PyPSA/pypsa-eur/pull/1440))
+
+* Initial steps towards unit testing are taken.
+  ([#1466](https://github.com/PyPSA/pypsa-eur/pull/1466),
+  [#1438](https://github.com/PyPSA/pypsa-eur/pull/1438),
+  [#1432](https://github.com/PyPSA/pypsa-eur/pull/1432))
+
+* The installation via `make install` now prioritizes `mamba` over `conda`
+  for faster installation. Conda is still used as a fallback. The command ``make
+  install` now also supports passing the name of the environment, e.g. `make
+  install name=my-project``. ([#1461](https://github.com/PyPSA/pypsa-eur/pull/1461))
+
+* Ruff is now used for linting and formatting. It is used within pre-commit, so
+  no changes are needed. But we recommend to set it up locally as well.
+  ([#1474](https://github.com/PyPSA/pypsa-eur/pull/1474))
+
+* Updating all base shapes (country_shapes, europe_shape, nuts3_shapes, ...). The workflow has been modified to use higher resolution and more harmonised shapes (NUTS3 2021 01M data and OSM administration level 1 for non-NUTS3 countries, such as BA, MD, UA, and XK). Data sources for population and GDP p.c. have been updated to JRC ARDECO https://urban.jrc.ec.europa.eu/ardeco/ -- 2019 values are used. `build_gdp_pop_non_nuts3` (originally created to build regional GDP p.c. and population data for MD and UA) is now integrated into `build_shapes` and extended to build regional values for all non-NUTS3 countries using cutouts of the updated datasets `GDP_per_capita_PPP_1990_2015_v2.nc` and `ppp_2019_1km_Aggregated.tif`,
+
+
+## PyPSA-Eur 0.13.0 (13th September 2024)
+
+**Features**
+
+* Add new methanol-based technologies: methanol-to-power, methanol reforming,
+  methanol-to-kerosene, methanol-to-olefins/aromatics, biomass-to-methanol with
+  and without carbon capture. ([#1207](https://github.com/PyPSA/pypsa-eur/pull/1207))
+
+* Add function `modify_attribute` to [prepare_sector_network][] which allows to adjust any attribute of any
+  PyPSA component either by a multiplication with a factor or setting an
+  absolute value. These adjustments can also depend on the planning horizons and
+  are set in the config under `adjustments`.
+  ([#1244](https://github.com/PyPSA/pypsa-eur/pull/1244))
+
+* Add version control to osm-prebuilt:
+  `config["electricity"]["osm-prebuilt-version"]`. Defaults to latest Zenodo
+  release, i.e. v0.4, Config is only considered when selecting `osm-prebuilt`
+  as `base_network`. ([#1293](https://github.com/PyPSA/pypsa-eur/pull/1293))
+
+**Changes**
+
+* Use JRC-IDEES thermal energy service instead of final energy demand for
+  buildings heating demand. Final energy includes losses in legacy equipment.
+  Efficiencies of existing heating capacities are lowered according to the
+  conversion of final energy to thermal energy service. For overnight scenarios
+  or future planning horizons this change leads to a reduction in heat supply
+  and, therefore, system cost. ([#1255](https://github.com/PyPSA/pypsa-eur/pull/1255))
+
+* Updated district heating supply temperatures based on [Euroheat's DHC Market Outlook 2024](https://api.euroheat.org/uploads/Market_Outlook_2024_beeecd62d4.pdf)
+  and [AGFW-Hauptbericht 2022](https://www.agfw.de/securedl/sdl-eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3MjU2MjI2MTUsImV4cCI6MTcyNTcxMjYxNSwidXNlciI6MCwiZ3JvdXBzIjpbMCwtMV0sImZpbGUiOiJmaWxlYWRtaW4vdXNlcl91cGxvYWQvWmFobGVuX3VuZF9TdGF0aXN0aWtlbi9IYXVwdGJlcmljaHRfMjAyMi9BR0ZXX0hhdXB0YmVyaWNodF8yMDIyLnBkZiIsInBhZ2UiOjQzNn0.Bhma3PKg9uJnC57Ixi2p9STW5-II9VXPTDXS544M208/AGFW_Hauptbericht_2022.pdf).
+  `min_forward_temperature` and `return_temperature` (not given by Euroheat) are
+  extrapolated based on German values. ([#1264](https://github.com/PyPSA/pypsa-eur/pull/1264))
+
+* Refined implementation of unsustainable biomass.
+  ([#1275](https://github.com/PyPSA/pypsa-eur/pull/1275),
+  [#1271](https://github.com/PyPSA/pypsa-eur/pull/1271),
+  [#1254](https://github.com/PyPSA/pypsa-eur/pull/1254),
+  [#1266](https://github.com/PyPSA/pypsa-eur/pull/1266))
+
+* Biomass transport costs are now stored in the `data` folder. Extraction from
+  PDF file is skipped. ([#1272](https://github.com/PyPSA/pypsa-eur/pull/1272))
+
+* Increased the resolution of NUTS3 and NUTS2 shapes from 1:60M to 1:3M. The
+  shapefiles are now directly retrieved with the `retrieve_nuts_shapes` rule.
+  ([#1286](https://github.com/PyPSA/pypsa-eur/pull/1286))
+
+* Uses of Snakemake's `storage()` function are integrated into retrieval
+  rules. This simplifies the use of `mock_snakemake` and places downloaded
+  data more transparently into the `data` directory.
+  ([#1274](https://github.com/PyPSA/pypsa-eur/pull/1274))
+
+* Updated data bundle to remove files which are now directly downloaded in the
+  rules. This reduces the size of the data bundle.
+  ([#1291](https://github.com/PyPSA/pypsa-eur/pull/1291))
+
+* Update NEP transmission projects to include `Startnetz`.
+  ([#1263](https://github.com/PyPSA/pypsa-eur/pull/1263))
+
+* Auto-update `envs/environment.fixed.yaml`.
+  ([#1281](https://github.com/PyPSA/pypsa-eur/pull/1281))
+
+**Bugfixes and Compatibility**
+
+* Updated osm-prebuilt network to version 0.4
+  (https://doi.org/10.5281/zenodo.13759222). Added Kosovo (XK) as dedicated
+  region. Fixed major 330 kV line in Moldova (MD)
+  (https://www.openstreetmap.org/way/33360284).
+  ([#1293](https://github.com/PyPSA/pypsa-eur/pull/1293))
+
+* Made the overdimensioning factor for heating systems specific for
+  central/decentral heating, defaults to no overdimensionining for central
+  heating and no changes to decentral heating compared to previous version.
+  ([#1259](https://github.com/PyPSA/pypsa-eur/pull/1259))
+
+* The carrier of stores was previously silently overwritten by their bus'
+  carrier when building global emission constraints.
+  ([#1262](https://github.com/PyPSA/pypsa-eur/pull/1262))
+
+* The fossil oil generator was incorrectly dropped when ``sector:
+  oil_refining_emissions`` was greater than zero. ([#1257](https://github.com/PyPSA/pypsa-eur/pull/1257))
+
+* Correctly account for the CO2 emissions of municipal solid waste.
+  ([#1256](https://github.com/PyPSA/pypsa-eur/pull/1256))
+
+* Added a missing space in the component name of retrofitted gas boilers.
+  ([#1289](https://github.com/PyPSA/pypsa-eur/pull/1289))
+
+* Global Energy Monitor datasets are temporarily mirrored on alternative
+  servers. ([#1265](https://github.com/PyPSA/pypsa-eur/pull/1265))
+
+* Fixed plotting of hydrogen networks with myopic pathway optimisation.
+  ([#1270](https://github.com/PyPSA/pypsa-eur/pull/1270))
+
+* Fixed internet connection check.
+  ([#1280](https://github.com/PyPSA/pypsa-eur/pull/1280))
+
+**Documentation**
+
+* The sources of nearly all data files are now listed in the documentation.
+  ([#1284](https://github.com/PyPSA/pypsa-eur/pull/1284))
+
+
+## PyPSA-Eur 0.12.0 (30th August 2024)
+
+**Data Updates and Extensions**
+
+* Switch to OpenStreetMap (OSM) data for modelling the high-voltage transmission
+  grid. The new OSM-based grid is is now the default. The previous ENTSO-E grid
+  data is now deprecated. It can still be used by setting ``electricity:
+  base_network: entsoegridkit``. The new default setting "osm-prebuilt"
+  downloads the latest prebuilt snapshots from Zenodo. The setting "osm-raw"
+  retrieves and cleans the raw OSM data and subsequently builds the network.
+  ([#1079](https://github.com/PyPSA/pypsa-eur/pull/1079))
+
+* Update energy balances from JRC-IDEES-2015 to [JRC-IDEES-2021](https://publications.jrc.ec.europa.eu/repository/handle/JRC137809). The
+  reference year was changed from 2015 to 2019.
+  ([#1167](https://github.com/PyPSA/pypsa-eur/pull/1167))
+
+* Updated pre-built [weather data cutouts](https://zenodo.org/records/12791128). These are now merged cutouts with
+  solar irradiation from the new SARAH-3 dataset while taking all other
+  variables from ERA5. Cutouts are now available for multiple years (2010, 2013,
+  2019, and 2023). The overall download size was cut in half.
+  ([#1176](https://github.com/PyPSA/pypsa-eur/pull/1176))
+
+* Included data from the [Global Steel Plant Tracker](https://globalenergymonitor.org/projects/global-steel-plant-tracker/)
+  provided by Global Energy Monitor. The data includes among other attributes
+  the locations, ages, operating status, relining dates, manufacturing process
+  and capacities of steel plants in Europe. This data is used as a spatial
+  distribution key for the steel production, which is now separated by process
+  type (EAF, DRI + EAF, integrated).
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
+
+* Added data on the locations and capacities of ammonia plants in Europe. This
+  data is used as a spatial distribution key for the ammonia demand. The data
+  manually collected with sources noted in `data/ammonia_plants.csv`.
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
+
+* Added data on the locations and capacities of cement plants in Europe that are
+  not included in the Hotmaps industrial database. The data sourced from the
+  [USGS 2019 Minerals Yearbooks](https://www.usgs.gov/centers/national-minerals-information-center/international-minerals-statistics-and-information)
+  of specific countries is used as a spatial distribution key for the cement
+  demand. The data is stored in `data/cement-plants-noneu.csv`.
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
+
+* Added data on the locations and capacities of refineries in Europe that are
+  not included in the Hotmaps industrial database. The data is mostly sourced
+  from the [Wikipedia list of oil refineries](https://en.wikipedia.org/wiki/List_of_oil_refineries). The data is stored
+  in `data/refineries-noneu.csv`.
+  ([#1241](https://github.com/PyPSA/pypsa-eur/pull/1241))
+
+* Retrieve share of urban population from [World Bank API](https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS). The data
+  originates from the United Nations Population Division. Previously, a file
+  `data/urban_percent.csv` with an undocumented source was used.
+  ([#1248](https://github.com/PyPSA/pypsa-eur/pull/1248))
+
+* Updated Global Energy Monitor's Europe Gas Tracker to May 2024 version.
+  ([#1235](https://github.com/PyPSA/pypsa-eur/pull/1235))
+
+* Updated country-specific Energy Availability Factors (EAFs) for nuclear power
+  plants based on [IAEA 2021-2023 reported country averages](https://pris.iaea.org/PRIS/WorldStatistics/ThreeYrsEnergyAvailabilityFactor.aspx).
+  ([#1236](https://github.com/PyPSA/pypsa-eur/pull/1236))
+
+* Updated technology-data to v0.9.2, with added methanol and biomass
+  assumptions.
+
+* Updated EEZ shapes to v12. This data is now automatically retrieved and was
+  removed from the data bundle. ([#1188](https://github.com/PyPSA/pypsa-eur/pull/1188),
+  [#1210](https://github.com/PyPSA/pypsa-eur/pull/1210))
+
+* The country shapes from Naturalearth are now automatically retrieved and are
+  removed from the data bundle. ([#1190](https://github.com/PyPSA/pypsa-eur/pull/1190))
+
+**New Features**
+
+* Improved biomass representation:
+
+  * Added unsustainable biomass potentials for solid, gaseous, and liquid biomass
+    based on current consumption levels from Eurostat energy balances. The
+    potentials can be phased-out and/or substituted by the phase-in of sustainable
+    biomass types using the config parameters ``biomass:
+    share_unsustainable_use_retained` and `biomass:
+    share_sustainable_potential_available``.
+    ([#1139](https://github.com/PyPSA/pypsa-eur/pull/1139))
+
+  * Added energy penalty for BECC applications.
+    ([#1130](https://github.com/PyPSA/pypsa-eur/pull/1130))
+
+  * Added option to enable the import of solid biomass.
+    ([#1194](https://github.com/PyPSA/pypsa-eur/pull/1194))
+
+  * Added option to produce electrobiofuels from solid biomass and hydrogen. This
+    process combined BtL and Fischer-Tropsch to efficiently use the available
+    biogenic carbon. ([#1193](https://github.com/PyPSA/pypsa-eur/pull/1193))
+
+  * Added option to split municipal solid waste from solid biomass.
+    ([#1195](https://github.com/PyPSA/pypsa-eur/pull/1195),
+    [#1134](https://github.com/PyPSA/pypsa-eur/pull/1134))
+
+  * Added option to produce hydrogen from solid biomass with or without carbon
+    capture. ([#1213](https://github.com/PyPSA/pypsa-eur/pull/1213))
+
+* Improved district heating representation:
+
+  * Added option to use country-specific district heating forward and return
+    temperatures. Defaults to lower temperatures in Scandinavia.
+    ([#1180](https://github.com/PyPSA/pypsa-eur/pull/1180))
+
+  * Made central heating supply temperatures dynamic based on an adaptation of a
+    reference curve from Pieper et al. (2019)
+    (https://www.sciencedirect.com/science/article/pii/S0360544219305857?via%3Dihub).
+    ([#1206](https://github.com/PyPSA/pypsa-eur/pull/1206)/)
+
+  * Changed heat pump COP approximation for central heating to be based on
+    [Jensen et al. (2018)](https://backend.orbit.dtu.dk/ws/portalfiles/portal/151965635/MAIN_Final.pdf)
+    and a default forward temperature of 90C. This is more realistic for
+    district heating than the previously used approximation method.
+    ([#1176](https://github.com/PyPSA/pypsa-eur/pull/1176))
+
+  * Added option for various power-to-X processes to specify their share of waste
+    heat that can be used in district heating. The default was changed from 100%
+    to 25%. ([#1141](https://github.com/PyPSA/pypsa-eur/pull/1141))
+
+* Added option to specify emissions fuel processing (e.g. oil in petrochemical
+  refinieries) with setting `industry: oil_refining_emissions:`.
+
+* Added Enhanced Geothermal Systems for generation of electricity and district heat.
+  Cost and available capacity assumptions based on [Aghahosseini et al. (2020)](https://www.sciencedirect.com/science/article/pii/S0306261920312551).
+  See configuration `sector: enhanced_geothermal` for details; by default switched off.
+
+* Represent Kosovo (XK) as separate country.
+  ([#1249](https://github.com/PyPSA/pypsa-eur/pull/1249))
+
+* Add option to specify carbon sequestration potentials per investment period.
+  ([#1228](https://github.com/PyPSA/pypsa-eur/pull/1228))
+
+* Add option to completely eliminate the use of fossil fuels.
+  ([#1187](https://github.com/PyPSA/pypsa-eur/pull/1187))
+
+* Added more modular and flexible handling of planned transmission reinforcement
+  projects (e.g. TYNDP). See configuration settings `transmission_projects:`.
+  ([#1085](https://github.com/PyPSA/pypsa-eur/pull/1085))
+
+* Added option to smooth wind turbine power curves with a Gaussian kernel density.
+  ([#1209](https://github.com/PyPSA/pypsa-eur/pull/1209)).
+
+* Added option `solving: curtailment_mode`` which fixes the dispatch profiles
+  of generators with time-varying p_max_pu by setting `p_min_pu = p_max_pu`
+  and adds an auxiliary curtailment generator with negative sign (to absorb
+  excess power) at every AC bus. This can speed up the solving process as the
+  curtailment decision is aggregated into a single generator per region.
+  ([#1177](https://github.com/PyPSA/pypsa-eur/pull/1177))
+
+* Added capital costs to all liquid carbonaceous fuel stores.
+  ([#1234](https://github.com/PyPSA/pypsa-eur/pull/1234))
+
+**Breaking Changes**
+
+* Due to memory issues, the feature `n.shapes` is temporarily disabled.
+  ([#1238](https://github.com/PyPSA/pypsa-eur/pull/1238))
+
+* Renamed the carrier of batteries in BEVs from `battery storage` to `EV
+  battery` and the corresponding bus carrier from `Li ion` to `EV battery`. This
+  is to avoid confusion with stationary battery storage.
+  ([#1116](https://github.com/PyPSA/pypsa-eur/pull/1116))
+
+**Changes**
+
+* Powerplants can now be assigned to all buses, not just substations.
+  ([#1239](https://github.com/PyPSA/pypsa-eur/pull/1239))
+
+* Avoid adding existing gas pipelines repeatedly for different planning
+  horizons.
+  ([#1162](https://github.com/PyPSA/pypsa-eur/pull/1162)[#1162](https://github.com/PyPSA/pypsa-eur/pull/1162))
+
+* Move custom busmaps to
+  `data/busmaps/elec_s{simpl}_{clusters}_{base_network}.csv`. This allows for
+  different busmaps depending on the base network.
+  ([#1231](https://github.com/PyPSA/pypsa-eur/pull/1231))
+
+* For countries not contained in the NUTS3-specific datasets (i.e. MD and UA),
+  the mapping of GDP per capita and population per bus region used to spatially
+  distribute electricity demand is now endogenised in a new rule
+  `build_gdp_ppp_non_nuts3`. The databundle has been updated accordingly.
+  ([#1146](https://github.com/PyPSA/pypsa-eur/pull/1146))
+
+* Enable parallelism in [determine_availability_matrix_MD_UA][] and remove
+  plots. This requires the use of temporary files.
+  ([#1170](https://github.com/PyPSA/pypsa-eur/pull/1170))
+
+* In [base_network][], replace own voronoi polygon calculation function with
+  Geopandas `gdf.voronoi_polygons` method.
+  ([#1172](https://github.com/PyPSA/pypsa-eur/pull/1172))
+
+* In simplifying polygons in [build_shapes][] default to no tolerance.
+  ([#1137](https://github.com/PyPSA/pypsa-eur/pull/1137))
+
+* Updated filtering in [determine_availability_matrix_MD_UA][] to improve
+  speed. ([#1146](https://github.com/PyPSA/pypsa-eur/pull/1146))
+
+* Removed unused data files and rules.
+  ([#1246](https://github.com/PyPSA/pypsa-eur/pull/1246),
+  [#1203](https://github.com/PyPSA/pypsa-eur/pull/1203))
+
+* The `{scope}` wildcard was removed, since its outputs were not used.
+  ([#1171](https://github.com/PyPSA/pypsa-eur/pull/1171))
+
+* Unify how the oil bus is added.
+
+* Set `p_nom = p_nom_min` for generators with `baseyear == grouping_year` in
+  [add_existing_baseyear][]. This has no effect on the optimization but helps
+  to correctly report already installed capacities using `n.statistics()`.
+
+* Cutouts are no longer marked as `protected()`.
+  ([#1220](https://github.com/PyPSA/pypsa-eur/pull/1220))
+
+**Bugfixes and Compatibility**
+
+* Bugfix in [simplify_network][] for spatially resolving Corsica.
+  ([#1215](https://github.com/PyPSA/pypsa-eur/pull/1215))
+
+* Bugfix for running without spatial resolution.
+  ([#1183](https://github.com/PyPSA/pypsa-eur/pull/1183))
+
+* Bugfix: Impose minimum value of zero for district heating progress between
+  current and future market share in [build_district_heat_share][].
+  ([#1168](https://github.com/PyPSA/pypsa-eur/pull/1168))
+
+* Bugfix: Correctly read in threshold capacity below which to remove components
+  from previous planning horizons in [add_brownfield][].
+
+* Bugfix for passing function arguments in rule [solve_operations_network][].
+
+* Bugfix avoiding infinity values in the intermediate industry sector ratios.
+  ([#1227](https://github.com/PyPSA/pypsa-eur/pull/1227))
+
+* Bugfix: Add floating wind to cost update function in
+  [prepare_sector_network][]. ([#1106](https://github.com/PyPSA/pypsa-eur/pull/1106))
+
+* Fixed PDF encoding in `build_biomass_transport_costs`.
+  ([#1219](https://github.com/PyPSA/pypsa-eur/pull/1219))
+
+* Dropped `pycountry` dependency in favour of `country_converter`.
+  ([#1188](https://github.com/PyPSA/pypsa-eur/pull/1188))
+
+* Use temporary mirror for broken link to Eurostat energy balances (April 2023).
+  ([#1147](https://github.com/PyPSA/pypsa-eur/pull/1147))
+
+* Compatibility with geopandas 1.0+.
+  ([#1136](https://github.com/PyPSA/pypsa-eur/pull/1136))
+
+* Compatibility with snakemake 8.14+.
+  ([#1112](https://github.com/PyPSA/pypsa-eur/pull/1112))
+
+* Address various deprecations.
+
+* Allow running the sector model for isolated non-EU28 countries, by
+  filling missing sectoral data with defaults, average EU values or
+  zeros, if not available.
+  ([open-energy-transition/pypsa-eur#1](https://github.com/open-energy-transition/pypsa-eur/pull/1))
+
+* Enable retaining existing conventional capacities added in the power
+  only model for sector coupled applications.
+  ([open-energy-transition/pypsa-eur#4](https://github.com/open-energy-transition/pypsa-eur/pull/4))
+
+
+## PyPSA-Eur 0.11.0 (25th May 2024)
+
+**New Features**
+
+* Introduced scenario management to support the simultaneous execution of
+  multiple scenarios with a single `snakemake` call. A `scenarios.yaml` file
+  allows customizable scenario names with configuration overrides. To enable,
+  set `run: scenarios: true` and define the list of scenario names under
+  `run: name:` in the configuration file. The scenario file's top-level keys
+  must match the defined scenario names.
+  ([#724](https://github.com/PyPSA/pypsa-eur/pull/724),
+  [#975](https://github.com/PyPSA/pypsa-eur/pull/975),
+  [#989](https://github.com/PyPSA/pypsa-eur/pull/989),
+  [#993](https://github.com/PyPSA/pypsa-eur/pull/993),
+  [#1011](https://github.com/PyPSA/pypsa-eur/pull/1011))
+
+    - A scenarios template file `config/scenarios.template.yaml` is included and
+      copied to `config/scenarios.yaml` on first use.
+    - The scenario file can be changed via `run: scenarios: file:`.
+    - Activating scenario management with `run: scenarios: enable: true`
+      introduces a new wildcard `{run}`. Configuration settings may now depend
+      on this wildcard. A new `config_provider()` function is used in the
+      `Snakefile` and `.smk` files to handle wildcard values.
+    - Scenario files can be programmatically created using
+      `config/create_scenarios.py`. This script can be run with ``snakemake -j1
+      create_scenarios``.
+    - The setting `run: name: all` will run all scenarios in
+      `config/scenarios.yaml`. Otherwise, only the scenarios listed under ``run:
+      name:`` will run.
+    - The setting `run: shared_resources:` indicates whether resources should be
+      encapsulated by `run: name:`. The special setting ``run: shared_resources:
+      base` shares resources until `add_electricity`` that do not contain
+      wildcards other than `{"technology", "year", "scope"}`.
+    - Added new configuration options for all `{opts}` and `{sector_opts}`
+      wildcard values to create a unique configuration file (`config.yaml`) per
+      PyPSA network file using `update_config_from_wildcards()`. This function
+      updates the `snakemake.config` object with settings from wildcards.
+    - The cost data was moved from `data/costs_{year}.csv` to
+      `resources/costs_{year}.csv`. The `retrieve_cost_data` rule now calls a
+      Python script.
+    - Time clustering settings moved to `clustering: temporal:` from
+      `snapshots:`, simplifying scenario management.
+    - Collection rules have a new wildcard `run=config["run"]["name"]` to
+      collect outputs across scenarios.
+    - Scenarios can be encapsulated in a directory using `run: prefix:`.
+    - The `{sector_opts}` wildcard is no longer used by default. All scenario
+      definitions are now in `config.yaml`.
+    - **Warning:** Scenario management with myopic or perfect foresight pathway
+      optimization requires the first investment period to be shared across all
+      scenarios. The `wildcard_constraints` for the `add_existing_baseyear`
+      rule do not accept wildcard-aware input functions.
+
+* Enhanced support for choosing different weather years.
+  ([#204](https://github.com/PyPSA/pypsa-eur/pull/204))
+
+    - Processed energy statistics from Eurostat (1990-2021) and IDEES (2000-2015)
+      are stored for all available years and filtered by the year in ``energy:
+      energy_totals_year:``.
+    - Added option to supplement electricity load data with synthetic time series
+      for years not in OPSD (from https://zenodo.org/records/10820928, ``load:
+      supplement_synthetic:``).
+    - Total annual heat demand for years not in Eurostat (1990-2021) or IDEES
+      (2000-2015) is scaled based on a regression between heating degree days and
+      heat demand for 2007-2021, assuming a similar building stock.
+    - Added option to scale annual hydro-electricity generation data for years not
+      in EIA (1980-2021) based on a regression between annual generation and total
+      runoff per country for 1980-2021 (``renewable: hydro:
+      eia_approximate_missing:``).
+    - Added option to normalize annual hydro generation data by the installed
+      capacity reported by EIA (1980-2021) to eliminate changes due to newly built
+      capacity (``renewable: hydro: eia_approximate_missing:
+      eia_correct_by_capacity:``).
+    - Added option to make hydro generation data independent of weather year
+      (`renewable: hydro: eia_approximate_missing: eia_norm_year:`).
+    - Added option to drop leap days (`enable: drop_leap_day:`).
+    - Added option to make electric load data independent of weather year (``load:
+      fixed_year:``).
+    - Include time series of Swiss passenger vehicles from the Swiss Federal
+      Statistical Office.
+    - Updated hydro-electricity generation and capacity data from EIA.
+    - The easiest way to use multiple weather years is with the new scenario
+      management. An example `create_scenarios.py` script is available in this
+      [Github gist](https://gist.github.com/fneum/47b857862dd9148a22eca5a2e85caa9a).
+
+* New renewable technologies:
+
+    - Solar PV with single-axis horizontal tracking (N-S axis), carrier:
+      `solar-hsat`. ([#1066](https://github.com/PyPSA/pypsa-eur/pull/1066))
+    - Floating offshore wind technology for water depths below 60m, carrier:
+      `offwind-float`. ([#773](https://github.com/PyPSA/pypsa-eur/pull/773))
+
+* Added default values for power distribution losses, assuming uniform 3% losses
+  on distribution grid links. These are deducted from national load time series
+  to avoid double counting. Extensions for country-specific loss factors and
+  planning horizon developments are planned.
+
+* Added `industry: HVC_environment_sequestration_fraction:` to specify the
+  fraction of carbon in plastics that is permanently sequestered in landfills.
+  The default assumption is that all carbon in plastics is eventually released
+  to the atmosphere. ([#1060](https://github.com/PyPSA/pypsa-eur/pull/1060))
+
+* Added options for building waste-to-energy plants with and without carbon
+  capture to consume non-recycled and non-sequestered plastics. Config settings:
+  `industry: waste_to_energy:` and `industry: waste_to_energy_cc`. This
+  excludes municipal solid waste. ([#1060](https://github.com/PyPSA/pypsa-eur/pull/1060))
+
+* Added option to post-discretize line and link capacities based on unit sizes
+  and rounding thresholds in the configuration under ``solving: options:
+  post_discretization:``. This is disabled by default.
+  ([#1064](https://github.com/PyPSA/pypsa-eur/pull/1064))
+
+* Time aggregation for sector-coupled networks is now its own rule
+  [build_snapshot_weightings][]. Time aggregation is constant over planning horizons
+  of the same network when using time step segmentation.
+  ([#1065](https://github.com/PyPSA/pypsa-eur/pull/1065),
+  [#1075](https://github.com/PyPSA/pypsa-eur/pull/1075))
+
+* Added config `run: shared_resources: exclude:` to specify files excluded
+  from shared resources with `run: shared_resources: base`. The function
+  `_helpers/get_run_path()` now takes an additional keyword argument
+  `exclude_from_shared` with a list of files that should not be shared.
+  ([#1050](https://github.com/PyPSA/pypsa-eur/pull/1050))
+
+* Added existing biomass boilers in [add_existing_baseyear][].
+  ([#951](https://github.com/PyPSA/pypsa-eur/pull/951))
+
+* Added new HVDC transmission projects from [TYNDP 2024 draft projects](https://tyndp.entsoe.eu/news/176-pan-european-electricity-transmission-projects-and-33-storage-projects-will-be-assessed-in-tyndp-2024).
+  ([#982](https://github.com/PyPSA/pypsa-eur/pull/982))
+
+* Linearly interpolated missing investment periods in year-dependent
+  configuration options. ([#943](https://github.com/PyPSA/pypsa-eur/pull/943))
+
+* Added shapes to the `netCDF` files for different stages of the network
+  object in `base_network`, `simplify_network`, and `cluster_network`. The
+  `build_bus_regions` rule is now integrated into the `base_network` rule.
+  ([#1013](https://github.com/PyPSA/pypsa-eur/pull/1013),
+  [#1051](https://github.com/PyPSA/pypsa-eur/pull/1051))
+
+* Added config `land_transport_demand_factor` to model growth in land
+  transport demand for different time horizons.
+
+* Allowed dictionary for `aviation_demand_factor` to specify changes in
+  aviation demand by investment period.
+
+* Allowed more solvers in clustering (Xpress, COPT, Gurobi, CPLEX, SCIP, MOSEK).
+  ([#949](https://github.com/PyPSA/pypsa-eur/pull/949))
+
+* Added option to download cost data from custom fork of `technology-data`.
+  ([#970](https://github.com/PyPSA/pypsa-eur/pull/970))
+
+* Added `nodal_supply_energy` to [make_summary][].
+  ([#1046](https://github.com/PyPSA/pypsa-eur/pull/1046))
+
+**Breaking Changes**
+
+* Upgraded to Snakemake v8.5+. This version is the new minimum requirement. To
+  upgrade an existing environment, run ``conda install -c bioconda
+  snakemake-minimal">=8.5"` and `pip install snakemake-storage-plugin-http``.
+  ([#825](https://github.com/PyPSA/pypsa-eur/pull/825))
+
+* Removed exogenously set share of rooftop PV (`costs: rooftop_share:`).
+  Rooftop and utility-scale PV are now separate technologies with endogenous
+  shares.
+
+* Removed rule `copy_config`. Instead, a config file is created for each
+  network output of the `solve_*` rules, with the same content as `n.meta`.
+  ([#965](https://github.com/PyPSA/pypsa-eur/pull/965))
+
+* Moved switch `run: shared_resources:` to `run: shared_resources: policy:`.
+
+**Changes**
+
+* Updated, merged, and reduced data bundle:
+  ([#1020](https://github.com/PyPSA/pypsa-eur/pull/1020),
+  [#1027](https://github.com/PyPSA/pypsa-eur/pull/1027))
+
+    - Merged electricity-only and sector-coupled data bundles into one bundle.
+      This removed the `retrieve_sector_databundle` rule.
+    - Included rasterised `natura.tiff` in the data bundle and removed the
+      `retrieve_natura_raster` rule.
+    - Removed the `build_natura_raster` rule due to its infrequent use and
+      significant data bundle size increase.
+    - Removed outdated files from the data bundle (e.g., Eurostat energy
+      balances).
+    - Reduced the spatial scope of GEBCO bathymetry data to Europe to save space.
+    - Removed a separate data bundle for tutorials.
+    - Directly downloaded the [Hotmaps Industrial Database](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/blob/master/data/Industrial_Database.csv)
+      from the source, removing `Industrial_Database.csv` from the data bundle.
+
+* Updated energy statistics: ([#947](https://github.com/PyPSA/pypsa-eur/pull/947),
+  [#973](https://github.com/PyPSA/pypsa-eur/pull/973),
+  [#990](https://github.com/PyPSA/pypsa-eur/pull/990),
+  [#1025](https://github.com/PyPSA/pypsa-eur/pull/1025),
+  [#1074](https://github.com/PyPSA/pypsa-eur/pull/1074))
+
+    - Updated Eurostat data to the 2023 version in [build_energy_totals][].
+    - Updated the latest Swiss energy totals to the 2023 version.
+    - Scaled JRC-IDEES data using the ratio of Eurostat data for energy totals
+      years after 2015 and 2015.
+    - Updated default energy totals year to 2019.
+    - Updated energy balances for residential demands (space, water, cooking) in
+      JRC-IDEES data with newer Eurostat values.
+
+* Improved documentation: ([#1017](https://github.com/PyPSA/pypsa-eur/pull/1017),
+  [#1014](https://github.com/PyPSA/pypsa-eur/pull/1014))
+
+    - Clarified that `solving: rolling_horizon:` only works for
+      [solve_operations_network][], not for networks with sector-coupling or
+      investment variables.
+    - Clarified suffix usage in `add_existing_baseyear`.
+    - Added documentation section for contributing documentation.
+
+* Included gas and oil fields and saline aquifers for estimating carbon
+  sequestration potentials. ([#1010](https://github.com/PyPSA/pypsa-eur/pull/1010),
+  [#983](https://github.com/PyPSA/pypsa-eur/pull/983))
+
+* Doubled solar rooftop potentials to roughly 1 TW for Europe based on recent
+  European Commission reports.
+
+* Consistently sourced data on existing renewable capacities from
+  `powerplantmatching`. Removed `retrieve_irena` rule. Updated the dataset
+  to include 2023 values. ([#1018](https://github.com/PyPSA/pypsa-eur/pull/1018))
+
+* Added methanol consumption in industry as reported in the DECHEMA report
+  directly as methanol demand. ([#1068](https://github.com/PyPSA/pypsa-eur/pull/1068))
+
+* Adapted disabling of transmission expansion in myopic foresight optimizations
+  when the limit is reached to handle cost limits.
+  ([#952](https://github.com/PyPSA/pypsa-eur/pull/952),
+  [#1076](https://github.com/PyPSA/pypsa-eur/pull/1076))
+
+* Improved the behavior of `agg_p_nom_limits`: Moved configuration to
+  `solving`; added the ability to aggregate all `offwind` types; added
+  option to consider existing capacities; added option to distinguish by
+  planning horizon. ([#1023](https://github.com/PyPSA/pypsa-eur/pull/1023))
+
+* Disabled `electricity: everywhere_powerplants`` by default to save memory in
+  [simplify_network][].
+
+* Moved non-essential example configuration files to `config/examples`.
+
+* Outputs of the retrieve rules are no longer marked as `protected()`.
+
+* Improved carbon budget distribution plot.
+  ([#1070](https://github.com/PyPSA/pypsa-eur/pull/1070))
+
+* Moved all graphics to `doc/img`.
+  ([#1052](https://github.com/PyPSA/pypsa-eur/pull/1052))
+
+* Connection costs calculated in [simplify_network][] are no longer written
+  to file. ([#1031](https://github.com/PyPSA/pypsa-eur/pull/1031))
+
+**Bugs and Compatibility**
+
+* Updated `technology-data` to version v0.9.0.
+
+* Bumped minimum `powerplantmatching` version to v0.5.15.
+  ([#1057](https://github.com/PyPSA/pypsa-eur/pull/1057))
+
+* Bugfix: The configuration setting ``electricity:
+  estimate_renewable_capacities: enable:`` for rule [add_electricity][] is
+  not compatible with `foresight: myopic`. The logic now skips adding existing
+  renewable capacities in [add_electricity][] if the foresight mode is
+  `myopic`. ([#1080](https://github.com/PyPSA/pypsa-eur/pull/1080))
+
+* Bugfix: Ensure gas-fired power plants are correctly added as OCGT or CCGT in
+  [add_electricity][]. Previously, they were always added as OCGT.
+
+* Bugfix: Fix distinction of temperature-dependent correction factors for the
+  energy demand of electric vehicles and ICEs fuel cell cars.
+  ([#957](https://github.com/PyPSA/pypsa-eur/pull/957))
+
+* Bugfix: Ensure all industry coal demands are considered when using
+  `sector_ratios_fraction_future`.
+  ([#1047](https://github.com/PyPSA/pypsa-eur/pull/1047))
+
+* Bugfix: Add existing heat pumps to low-voltage level.
+  ([#948](https://github.com/PyPSA/pypsa-eur/pull/948))
+
+* Fixed gas network retrofitting to hydrogen in [add_brownfield][] for myopic
+  pathway studies. ([#1036](https://github.com/PyPSA/pypsa-eur/pull/1036))
+
+* Bugfix: Consider decommissioning of existing renewable assets in
+  [add_existing_baseyear][]. ([#1001](https://github.com/PyPSA/pypsa-eur/pull/1001),
+  [#959](https://github.com/PyPSA/pypsa-eur/pull/959))
+
+* Bugfix: Adjust build year groups of existing capacities for consistency with
+  optimized capacities per planning horizon. The previous setup neglected some
+  existing heating capacities. ([#1019](https://github.com/PyPSA/pypsa-eur/pull/1019))
+
+* Bugfix: Corrected a bug causing power plants to operate after their
+  `DateOut`. Added additional grouping years before 1980.
+  ([#958](https://github.com/PyPSA/pypsa-eur/pull/958))
+
+* Bugfix: Allow modeling sector-coupled landlocked regions by handling the
+  absence of offshore wind. ([#944](https://github.com/PyPSA/pypsa-eur/pull/944))
+
+* Bugfix: Correct approximation of hydropower generation if Portugal or Spain
+  are not included. ([#1054](https://github.com/PyPSA/pypsa-eur/pull/1054))
+
+* Bugfix: In [build_electricity_demand][], ensure load data is only added if
+  the country is included in the configuration.
+  ([#1054](https://github.com/PyPSA/pypsa-eur/pull/1054))
+
+* Bugfix: Skip heat bus for CHPs in areas without central heating.
+  ([#1021](https://github.com/PyPSA/pypsa-eur/pull/1021))
+
+* Bugfix: Avoid duplicated offshore regions.
+
+* Fixed type error with `m` option in [cluster_network][].
+  ([#986](https://github.com/PyPSA/pypsa-eur/pull/986))
+
+* Fixed error with `symbol` column of buses in [simplify_network][].
+  ([#987](https://github.com/PyPSA/pypsa-eur/pull/987))
+
+* Fixed index of existing capacities in
+  `add_power_capacities_installed_before_baseyear` with `m` option.
+  ([#1002](https://github.com/PyPSA/pypsa-eur/pull/1002))
+
+* Fixed reading in custom busmaps in [cluster_network][].
+  ([#1008](https://github.com/PyPSA/pypsa-eur/pull/1008))
+
+* Fixed `p_nom_min` of renewables generators for myopic approach and added
+  check of existing capacities in `add_land_use_constraint_m`.
+  ([#1022](https://github.com/PyPSA/pypsa-eur/pull/1022),
+  [#1029](https://github.com/PyPSA/pypsa-eur/pull/1029))
+
+* Fixed duplicated years and grouping years reference in
+  `add_land_use_constraint_m`. ([#991](https://github.com/PyPSA/pypsa-eur/pull/991),
+  [#968](https://github.com/PyPSA/pypsa-eur/pull/968))
+
+* Fixed filling of missing data in
+  `build_industry_sector_ratios_intermediate`.
+  ([#1004](https://github.com/PyPSA/pypsa-eur/pull/1004))
+
+* Fixed file name encoding in optional rule [build_biomass_transport_costs][]
+  depending on the operating system.
+  ([#769](https://github.com/PyPSA/pypsa-eur/pull/769))
+
+* Technical fix for constraint function `add_operational_reserve_margin`.
+  ([#1071](https://github.com/PyPSA/pypsa-eur/pull/1071))
+
+* Technical fix for constraint function `add_BAU_constraints`.
+  ([#1024](https://github.com/PyPSA/pypsa-eur/pull/1024))
+
+* Fixed network clustering and simplification issues caused by adding TYNDP
+  links. ([#1067](https://github.com/PyPSA/pypsa-eur/pull/1067))
+
+* Bugfix: Ensure correct indexing of weights in [cluster_network][].
+  ([#988](https://github.com/PyPSA/pypsa-eur/pull/988))
+
+* Bugfix: Only sanitize locations when there are buses with a location.
+  ([#971](https://github.com/PyPSA/pypsa-eur/pull/971))
+
+
+## PyPSA-Eur 0.10.0 (19th February 2024)
+
+**New Features**
+
+* Improved representation of industry transition pathways. A new script was
+  added to interpolate industry sector ratios from today's status quo to future
+  systems (i.e. specific emissions and demands for energy and feedstocks). For
+  each country we gradually switch industry processes from today's specific
+  energy carrier usage per ton material output to the best-in-class energy
+  consumption of tomorrow. This is done on a per-country basis. The ratio of
+  today to tomorrow's energy consumption is set with the ``industry:
+  sector_ratios_fraction_future:`` parameter
+  ([#929](https://github.com/PyPSA/pypsa-eur/pull/929)).
+
+* Add new default to overdimension heating in individual buildings. This allows
+  them to cover heat demand peaks e.g. 10% higher than those in the data. The
+  disadvantage of manipulating the costs is that the capacity is then not quite
+  right. This way at least the costs are right
+  ([#918](https://github.com/PyPSA/pypsa-eur/pull/918)).
+
+* Allow industrial coal demand to be regional so its emissions can be included
+  in regional emission limits ([#923](https://github.com/PyPSA/pypsa-eur/pull/923)).
+
+* Add option to specify to set a default heating lifetime for existing heating
+  (`existing_capacities: default_heating_lifetime:`)
+  ([#918](https://github.com/PyPSA/pypsa-eur/pull/918)).
+
+* Added option to specify turbine and solar panel models for specific years as a
+  dictionary (e.g. `renewable: onwind: resource: turbine:`). The years will be
+  interpreted as years from when the the corresponding turbine model substitutes
+  the previous model for new installations. This will only have an effect on
+  workflows with foresight `"myopic"` and still needs to be added foresight
+  option `"perfect"` ([#912](https://github.com/PyPSA/pypsa-eur/pull/912)).
+
+* New configuration option `everywhere_powerplants` to build conventional
+  powerplants everywhere, irrespective of existing powerplants locations, in the
+  network ([#850](https://github.com/PyPSA/pypsa-eur/pull/850)).
+
+* Add the option to customise map projection in plotting config under
+  `plotting: projection: name` ([#898](https://github.com/PyPSA/pypsa-eur/pull/898)).
+
+* Add support for the linopy `io_api` option under ``solving: options:
+  io_api:`. Set to `"direct"`` to increase model reading and writing
+  performance for the highs and gurobi solvers on slow file systems
+  ([#892](https://github.com/PyPSA/pypsa-eur/pull/892)).
+
+* It is now possible to determine the directory for shared resources by setting
+  `shared_resources` to a string ([#906](https://github.com/PyPSA/pypsa-eur/pull/906)).
+
+* Improve `mock_snakemake()` for usage in Snakemake modules
+  ([#869](https://github.com/PyPSA/pypsa-eur/pull/869)).
+
+**Breaking Changes**
+
+* Remove long-deprecated function `attach_extendable_generators` in
+  [add_electricity][].
+
+* Remove option for wave energy as technology data is not maintained.
+
+* The order of buses (bus0, bus1, ...) for DAC components has changed to meet
+  the convention of the other components. Therefore, `bus0` refers to the
+  electricity bus (input), `bus1` to the heat bus (input), 'bus2' to the CO2
+  atmosphere bus (input), and `bus3` to the CO2 storage bus (output)
+  ([#901](https://github.com/PyPSA/pypsa-eur/pull/901)).
+
+**Changes**
+
+* Upgrade default techno-economic assumptions to `technology-data` v0.8.0.
+
+* Update hydrogen pipeline losses to latest data from Danish Energy Agency
+  ([#933](https://github.com/PyPSA/pypsa-eur/pull/933)).
+
+* Move building of daily heat profile to its own rule
+  [build_hourly_heat_demand][] from [prepare_sector_network][]
+  ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
+
+* In [build_energy_totals][], district heating shares are now reported in a
+  separate file ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
+
+* Move calculation of district heating share to its own rule
+  [build_district_heat_share][]
+  ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
+
+* Move building of distribution of existing heating to own rule
+  [build_existing_heating_distribution][]. This makes the distribution of
+  existing heating to urban/rural, residential/services and spatially more
+  transparent ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
+
+* Default settings for recycling rates and primary product shares of high-value
+  chemicals have been set in accordance with the values used in [Neumann et al. (2023)](https://doi.org/10.1016/j.joule.2023.06.016) linearly interpolated
+  between 2020 and 2050. The recycling rates are based on data from [Agora Energiewende (2021)](https://static.agora-energiewende.de/fileadmin/Projekte/2021/2021_02_EU_CEAP/A-EW_254_Mobilising-circular-economy_study_WEB.pdf).
+
+* Air-sourced heat pumps can now also be built in rural areas. Previously, only
+  ground-sourced heat pumps were considered for this category
+  ([#890](https://github.com/PyPSA/pypsa-eur/pull/890)).
+
+* The default configuration `config/config.default.yaml` is now automatically
+  used as a base configuration file. The file `config/config.yaml` can now be
+  used to only define deviations from the default configuration. The
+  `config/config.default.yaml` is still copied into `config/config.yaml` on
+  first usage ([#925](https://github.com/PyPSA/pypsa-eur/pull/925)).
+
+* Regions are assigned to all buses with unique coordinates in the network with
+  a preference given to substations. Previously, only substations had assigned
+  regions, but this could lead to issues when a high spatial resolution was
+  applied ([#922](https://github.com/PyPSA/pypsa-eur/pull/922)).
+
+* Define global constraint for CO2 emissions on the final state of charge of the
+  CO2 atmosphere store. This gives a more sparse constraint that should improve
+  the performance of the solving process
+  ([#862](https://github.com/PyPSA/pypsa-eur/pull/862)).
+
+* Switched the energy totals year from 2011 to 2013 to comply with the assumed
+  default weather year ([#934](https://github.com/PyPSA/pypsa-eur/pull/934)).
+
+* Cluster residential and services heat buses by default. Can be disabled with
+  `cluster_heat_buses: false` ([#877](https://github.com/PyPSA/pypsa-eur/pull/877)).
+
+* The rule `plot_network` has been split into separate rules for plotting
+  electricity, hydrogen and gas networks
+  ([#900](https://github.com/PyPSA/pypsa-eur/pull/900)).
+
+* To determine the optimal topology to meet the number of clusters, the workflow
+  used pyomo in combination with `ipopt` or `gurobi`. This dependency has
+  been replaced by using `linopy` in combination with `scipopt` or
+  `gurobi`. The environment file has been updated accordingly
+  ([#903](https://github.com/PyPSA/pypsa-eur/pull/903)).
+
+* The `highs` solver was added to the default environment file.
+
+* New default solver settings for COPT solver
+  ([#882](https://github.com/PyPSA/pypsa-eur/pull/882)).
+
+* Data retrieval rules now use their own minimal conda environment. This can
+  avoid unnecessary reruns of the workflow
+  ([#888](https://github.com/PyPSA/pypsa-eur/pull/888)).
+
+* Merged two OPSD time series data versions into such that the option ``load:
+  power_statistics:`` becomes superfluous and was hence removed
+  ([#924](https://github.com/PyPSA/pypsa-eur/pull/924)).
+
+* The filtering of power plants in the `config.default.yaml` has been updated
+  regarding phased-out power plants in 2023.
+
+* Include all countries in ammonia production resource. This is so that the full
+  EU28 ammonia demand can be correctly subtracted in the rule
+  [build_industry_sector_ratios][]
+  ([#931](https://github.com/PyPSA/pypsa-eur/pull/931)).
+
+* Correctly source the existing heating technologies for buildings since the
+  source URL has changed. It represents the year 2012 and is only for buildings,
+  not district heating ([#918](https://github.com/PyPSA/pypsa-eur/pull/918)).
+
+* Add warning when BEV availability weekly profile has negative values in
+  `build_transport_demand` ([#858](https://github.com/PyPSA/pypsa-eur/pull/858)).
+
+* Time series clipping for very small values was added for Links
+  ([#870](https://github.com/PyPSA/pypsa-eur/pull/870)).
+
+* A `test.sh` script was added to the repository to run the tests locally.
+
+* The CI now tests additionally against `master` versions of PyPSA, atlite and
+  powerplantmatching ([#904](https://github.com/PyPSA/pypsa-eur/pull/904)).
+
+* A function `sanitize_locations()` was added to improve the coverage of the
+  `location` attribute of network components.
+
+**Bugs and Compatibility**
+
+* Bugfix: Do not reduce district heat share when building population-weighted
+  energy statistics. Previously the district heating share was being multiplied
+  by the population weighting, reducing the DH share with multiple nodes
+  ([#884](https://github.com/PyPSA/pypsa-eur/pull/884)).
+
+* Bugfix: The industry coal emissions for industry were not properly tracked
+  ([#923](https://github.com/PyPSA/pypsa-eur/pull/923)).
+
+* Bugfix: Correct units of subtracted chlorine and methanol demand in
+  [build_industry_sector_ratios][]
+  ([#930](https://github.com/PyPSA/pypsa-eur/pull/930)).
+
+* Various minor bugfixes to the perfect foresight workflow, though perfect
+  foresight must still be considered experimental
+  ([#910](https://github.com/PyPSA/pypsa-eur/pull/910)).
+
+* Fix plotting of retrofitted hydrogen pipelines with myopic pathway
+  optimisation ([#937](https://github.com/PyPSA/pypsa-eur/pull/937)).
+
+* Bugfix: Correct technology keys for the electricity production plotting to
+  work out the box.
+
+* Bugfix: Assure entering of code block which corrects Norwegian heat demand
+  ([#870](https://github.com/PyPSA/pypsa-eur/pull/870)).
+
+* Stacktrace of uncaught exceptions should now be correctly included inside log
+  files (via `configure_logging(..)`)
+  ([#875](https://github.com/PyPSA/pypsa-eur/pull/875)).
+
+* Bugfix: Correctly read out number of solver threads from configuration file
+  ([#889](https://github.com/PyPSA/pypsa-eur/pull/889)).
+
+* Made copying default config file compatible with snakemake module
+  ([#894](https://github.com/PyPSA/pypsa-eur/pull/894)).
+
+* Compatibility with `pandas=2.2`
+  ([#861](https://github.com/PyPSA/pypsa-eur/pull/861)).
+
+Special thanks for this release to Koen van Greevenbroek ([koen-vg](https://github.com/koen-vg)) for various new features, bugfixes and taking
+care of deprecations.
+
+
+## PyPSA-Eur 0.9.0 (5th January 2024)
+
+**New Features**
+
+* Add option to specify losses for bidirectional links, e.g. pipelines or HVDC
+  links, in configuration file under `sector: transmission_efficiency:`. Users
+  can specify static or length-dependent values as well as a length-dependent
+  electricity demand for compression, which is implemented as a multi-link to
+  the local electricity buses. The bidirectional links will then be split into
+  two unidirectional links with linked capacities ([#739](https://github.com/PyPSA/pypsa-eur/pull/739)).
+
+* Merged option to extend geographical scope to Ukraine and Moldova. These
+  countries are excluded by default and is currently constrained to power-sector
+  only parts of the workflow. A special config file
+  `config/config.entsoe-all.yaml` was added as an example to run the workflow
+  with all ENTSO-E member countries (including observer members like Ukraine and
+  Moldova). Moldova can currently only be included in conjunction with Ukraine
+  due to the absence of demand data. The Crimean power system is manually
+  reconnected to the main Ukrainian grid with the configuration option
+  `reconnect_crimea` ([#321](https://github.com/PyPSA/pypsa-eur/pull/321)).
+
+* New experimental support for multi-decade optimisation with perfect foresight
+  (`foresight: perfect`). Maximum growth rates for carriers, global carbon
+  budget constraints and emission constraints for particular investment periods.
+
+* Add option to reference an additional source file where users can specify
+  custom `extra_functionality` constraints in the configuration file. The
+  default setting points to an empty hull at
+  `data/custom_extra_functionality.py` ([#824](https://github.com/PyPSA/pypsa-eur/pull/824)).
+
+* Add locations, capacities and costs of existing gas storage using Global
+  Energy Monitor's [Europe Gas Tracker](https://globalenergymonitor.org/projects/europe-gas-tracker)
+  ([#835](https://github.com/PyPSA/pypsa-eur/pull/835)).
+
+* Add option to use [LUISA Base Map](https://publications.jrc.ec.europa.eu/repository/handle/JRC124621) 50m land
+  coverage dataset for land eligibility analysis in
+  [build_renewable_profiles][]. Settings are analogous to the CORINE dataset
+  but with the key `luisa:` in the configuration file. To leverage the
+  dataset's full advantages, set the excluder resolution to 50m
+  (`excluder_resolution: 50`). For land category codes, see [Annex 1 of the technical documentation](https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf)
+  ([#842](https://github.com/PyPSA/pypsa-eur/pull/842)).
+
+* Add option to capture CO2 contained in biogas when upgrading (``sector:
+  biogas_to_gas_cc``) ([#615](https://github.com/PyPSA/pypsa-eur/pull/615)).
+
+* If load shedding is activated, it is now applied to all carriers, not only
+  electricity ([#784](https://github.com/PyPSA/pypsa-eur/pull/784)).
+
+* Add option for heat vents in district heating (``sector:
+  central_heat_vent:``). The combination of must-run conditions for some
+  power-to-X processes, waste heat usage enabled and decreasing heating demand,
+  can lead to infeasibilities in pathway optimisation for some investment
+  periods since larger Fischer-Tropsch capacities are needed in early years but
+  the waste heat exceeds the heat demand in later investment periods.
+  ([#791](https://github.com/PyPSA/pypsa-eur/pull/791)).
+
+* Allow possibility to go from copperplated to regionally resolved methanol and
+  oil demand with switches `sector: regional_methanol_demand: true` and
+  `sector: regional_oil_demand: true`. This allows nodal/regional CO2
+  constraints to be applied ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
+
+* Allow retrofitting of existing gas boilers to hydrogen boilers in pathway
+  optimisation.
+
+* Add option to add time-varying CO2 emission prices (electricity-only, ``costs:
+  emission_prices: co2_monthly_prices: true``). This is linked to the new
+  `{opts}` wildcard option `Ept`.
+
+* Network clustering can now consider efficiency classes when aggregating
+  carriers. The option `clustering: consider_efficiency_classes:` aggregates
+  each carriers into the top 10-quantile (high), the bottom 90-quantile (low),
+  and everything in between (medium).
+
+* Added option `conventional: dynamic_fuel_price:` to consider the monthly
+  fluctuating fuel prices for conventional generators. Refer to the CSV file
+  `data/validation/monthly_fuel_price.csv`.
+
+* For hydro-electricity, add switches `flatten_dispatch` to consider an upper
+  limit for the hydro dispatch. The limit is given by the average capacity
+  factor plus the buffer given in  `flatten_dispatch_buffer`.
+
+* Extend options for waste heat usage from Haber-Bosch, methanolisation and
+  methanation ([#834](https://github.com/PyPSA/pypsa-eur/pull/834)).
+
+* Add new `sector_opts` wildcard option "nowasteheat" to disable all waste
+  heat usage ([#834](https://github.com/PyPSA/pypsa-eur/pull/834)).
+
+* Add new rule `retrieve_irena` to automatically retrieve up-to-date values
+  for existing renewables capacities ([#756](https://github.com/PyPSA/pypsa-eur/pull/756)).
+
+* Print Irreducible Infeasible Subset (IIS) if model is infeasible. Only for
+  solvers with IIS support ([#841](https://github.com/PyPSA/pypsa-eur/pull/841)).
+
+* More wildcard options now have a corresponding config entry. If the wildcard
+  is given, then its value is used. If the wildcard is not given but the options
+  in config are enabled, then the value from config is used. If neither is
+  given, the options are skipped ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
+
+* Validate downloads from Zenodo using MD5 checksums. This identifies corrupted
+  or incomplete downloads ([#821](https://github.com/PyPSA/pypsa-eur/pull/821)).
+
+* Add rule `sync` to synchronise with a remote machine using the `rsync`
+  library. Configuration settings are found under `remote:`.
+
+**Breaking Changes**
+
+* Remove all negative loads on the `co2 atmosphere` bus representing emissions
+  for e.g. fixed fossil demands for transport oil. Instead these are handled
+  more transparently with a fixed transport oil demand and a link taking care of
+  the emissions to the `co2 atmosphere` bus. This is also a preparation for
+  endogenous transport optimisation, where demand will be subject to
+  optimisation (e.g. fuel switching in the transport sector)
+  ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
+
+* Process emissions from steam crackers (i.e. naphtha processing for HVC) are
+  now piped from the consumption link to the process emissions bus where the
+  model can decide about carbon capture. Previously the process emissions for
+  naphtha were a fixed load ([#827](https://github.com/PyPSA/pypsa-eur/pull/827)).
+
+* Distinguish between stored and sequestered CO2. Stored CO2 is stored
+  overground in tanks and can be used for CCU (e.g. methanolisation).
+  Sequestered CO2 is stored underground and can no longer be used for CCU. This
+  distinction is made because storage in tanks is more expensive than
+  underground storage. The link that connects stored and sequestered CO2 is
+  unidirectional ([#844](https://github.com/PyPSA/pypsa-eur/pull/844)).
+
+* Files extracted from sector-coupled data bundle have been moved from `data/`
+  to `data/sector-bundle`.
+
+* Split configuration to enable SMR and SMR CC (`sector: smr:` and ``sector:
+  smr_cc:``) ([#757](https://github.com/PyPSA/pypsa-eur/pull/757)).
+
+* Add separate option to add resistive heaters to the technology choices
+  (`sector: resistive_heaters:`). Previously they were always added when
+  boilers were added ([#808](https://github.com/PyPSA/pypsa-eur/pull/808)).
+
+* Remove HELMETH option (`sector: helmeth:`).
+
+* Remove "conservative" renewable potentials estimation option
+  ([#838](https://github.com/PyPSA/pypsa-eur/pull/838)).
+
+* With this release we stop posting updates to the network pre-builts.
+
+**Changes**
+
+* Updated Global Energy Monitor LNG terminal data to March 2023 version
+  ([#707](https://github.com/PyPSA/pypsa-eur/pull/707)).
+
+* For industry distribution, use EPRTR as fallback if ETS data is not available
+  ([#721](https://github.com/PyPSA/pypsa-eur/pull/721)).
+
+* It is now possible to specify years for biomass potentials which do not exist
+  in the JRC-ENSPRESO database, e.g. 2037. These are linearly interpolated
+  ([#744](https://github.com/PyPSA/pypsa-eur/pull/744)).
+
+* In pathway mode, the biomass potential is linked to the investment year
+  ([#744](https://github.com/PyPSA/pypsa-eur/pull/744)).
+
+* Increase allowed deployment density of solar to 5.1 MW/sqkm by default.
+
+* Default to full electrification of land transport by 2050.
+
+* Provide exogenous transition settings in 5-year steps.
+
+* Default to approximating transmission losses in HVAC lines
+  (`transmission_losses: 2`).
+
+* Use electrolysis waste heat by default.
+
+* Set minimum part loads for PtX processes to 30% for methanolisation and
+  methanation, and to 70% for Fischer-Tropsch synthesis.
+
+* Add VOM as marginal cost to PtX processes
+  ([#830](https://github.com/PyPSA/pypsa-eur/pull/830)).
+
+* Add pelletizing costs for biomass boilers ([#833](https://github.com/PyPSA/pypsa-eur/pull/833)).
+
+* Update default offshore wind turbine model to "NREL Reference 2020 ATB 5.5 MW"
+  ([#832](https://github.com/PyPSA/pypsa-eur/pull/832)).
+
+* Switch to using hydrogen and electricity inputs for Haber-Bosch from
+  https://github.com/PyPSA/technology-data ([#831](https://github.com/PyPSA/pypsa-eur/pull/831)).
+
+* The configuration setting for country focus weights when clustering the
+  network has been moved from `focus_weights:` to ``clustering:
+  focus_weights:``. Backwards compatibility to old config files is maintained
+  ([#794](https://github.com/PyPSA/pypsa-eur/pull/794)).
+
+* The `mock_snakemake` function can now be used with a Snakefile from a
+  different directory using the new `root_dir` argument
+  ([#771](https://github.com/PyPSA/pypsa-eur/pull/771)).
+
+* Rule `purge` now initiates a dialog to confirm if purge is desired
+  ([#745](https://github.com/PyPSA/pypsa-eur/pull/745)).
+
+* Files downloaded from zenodo are now write-protected to prevent accidental
+  re-download ([#730](https://github.com/PyPSA/pypsa-eur/pull/730)).
+
+* Performance improvements for rule `build_ship_raster`
+  ([#845](https://github.com/PyPSA/pypsa-eur/pull/845)).
+
+* Improve time logging in [build_renewable_profiles][]
+  ([#837](https://github.com/PyPSA/pypsa-eur/pull/837)).
+
+* In myopic pathway optimisation, disable power grid expansion if line volume
+  already hit ([#840](https://github.com/PyPSA/pypsa-eur/pull/840)).
+
+* JRC-ENSPRESO data is now downloaded from a Zenodo mirror because the link was
+  unreliable ([#801](https://github.com/PyPSA/pypsa-eur/pull/801)).
+
+* Add focus weights option for clustering to documentation
+  ([#781](https://github.com/PyPSA/pypsa-eur/pull/781)).
+
+* Add proxy for biomass transport costs if no explicit biomass transport network
+  is considered ([#711](https://github.com/PyPSA/pypsa-eur/pull/711)).
+
+**Bugs and Compatibility**
+
+* The minimum PyPSA version is now 0.26.1.
+
+* Update to `tsam>=0.2.3` for performance improvements in temporal clustering.
+
+* Pin `snakemake` version to below 8.0.0, as the new version is not yet
+  supported. The next release will switch to the requirement `snakemake>=8`.
+
+* Bugfix: Add coke and coal demand for integrated steelworks
+  ([#718](https://github.com/PyPSA/pypsa-eur/pull/718)).
+
+* Bugfix: Make [build_renewable_profiles][] consider subsets of cutout time
+  scope ([#709](https://github.com/PyPSA/pypsa-eur/pull/709)).
+
+* Bugfix: In [simplify_network][], remove 'underground' column to avoid
+  consense error ([#714](https://github.com/PyPSA/pypsa-eur/pull/714)).
+
+* Bugfix: Fix in [add_existing_baseyear][] to account for the case when there
+  is no rural heating demand for some nodes in network
+  ([#706](https://github.com/PyPSA/pypsa-eur/pull/706)).
+
+* Bugfix: The unit of the capital cost of Haber-Bosch plants was corrected
+  ([#829](https://github.com/PyPSA/pypsa-eur/pull/829)).
+
+* The minimum capacity for renewable generators when using the myopic option has
+  been fixed ([#728](https://github.com/PyPSA/pypsa-eur/pull/728)).
+
+* Compatibility for running with single node and single country
+  ([#839](https://github.com/PyPSA/pypsa-eur/pull/839)).
+
+* A bug preventing the addition of custom powerplants specified in
+  `data/custom_powerplants.csv` was fixed.
+  ([#732](https://github.com/PyPSA/pypsa-eur/pull/732))
+
+* Fix nodal fraction in `add_existing_year` when using distributed
+  generators ([#798](https://github.com/PyPSA/pypsa-eur/pull/798)).
+
+* Bugfix: District heating without progress caused division by zero
+  ([#796](https://github.com/PyPSA/pypsa-eur/pull/796)).
+
+* Bugfix: Drop duplicates in `build_industrial_distribution_keys`, which
+  can occur through the geopandas `.sjoin()` function if a point is located on
+  a border ([#726](https://github.com/PyPSA/pypsa-eur/pull/726)).
+
+* For network clustering fall back to `ipopt` when `highs` is designated
+  solver ([#795](https://github.com/PyPSA/pypsa-eur/pull/795)).
+
+* Fix typo in buses definition for oil boilers in `add_industry` in
+  [prepare_sector_network][] ([#812](https://github.com/PyPSA/pypsa-eur/pull/812)).
+
+* Resolve code issues for endogenous building retrofitting. Select correct
+  sector names, address deprecations, distinguish between district heating,
+  decentral heating in urban areas or rural areas for floor area calculations
+  ([#808](https://github.com/PyPSA/pypsa-eur/pull/808)).
+
+* Addressed various deprecations.
+
+
+## PyPSA-Eur 0.8.1 (27th July 2023)
+
+**New Features**
+
+* Add option to consider dynamic line rating based on wind speeds and
+  temperature according to [Glaum and Hofmann (2022)](https://arxiv.org/abs/2208.04716). See configuration section ``lines:
+  dynamic_line_rating:`` for more details. ([#675](https://github.com/PyPSA/pypsa-eur/pull/675))
+
+* Add option to include a piecewise linear approximation of transmission losses,
+  e.g. by setting `solving: options: transmission_losses: 2` for an
+  approximation with two tangents. ([#664](https://github.com/PyPSA/pypsa-eur/pull/664))
+
+* Add plain hydrogen turbine as additional re-electrification option besides
+  hydrogen fuel cell. Add switches for both re-electrification options under
+  `sector: hydrogen_turbine:` and `sector: hydrogen_fuel_cell:`.
+  ([#647](https://github.com/PyPSA/pypsa-eur/pull/647))
+
+* Added configuration option `lines: max_extension:` and ``links:
+  max_extension:``` to control the maximum capacity addition per line or link in
+  MW. ([#665](https://github.com/PyPSA/pypsa-eur/pull/665))
+
+* A `param:` section in the snakemake rule definitions was added to track
+  changed settings in `config.yaml`. The goal is to automatically re-execute
+  rules where parameters have changed. See [Non-file parameters for rules](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#non-file-parameters-for-rules)
+  in the snakemake documentation. ([#663](https://github.com/PyPSA/pypsa-eur/pull/663))
+
+* A new function named `sanitize_carrier` ensures that all unique carrier
+  names are present in the network's carriers attribute, and adds nice names and
+  colors for each carrier according to the provided configuration dictionary.
+  ([#653](https://github.com/PyPSA/pypsa-eur/pull/653),
+  [#690](https://github.com/PyPSA/pypsa-eur/pull/690))
+
+* The configuration settings have been documented in more detail.
+  ([#685](https://github.com/PyPSA/pypsa-eur/pull/685))
+
+**Breaking Changes**
+
+* The configuration files are now located in the `config` directory. This
+  includes the `config.default.yaml`, `config.yaml` as well as the test
+  configuration files which are now located in the `config/test` directory.
+  Config files that are still in the root directory will be ignored.
+  ([#640](https://github.com/PyPSA/pypsa-eur/pull/640))
+
+* Renamed script and rule name from `build_load_data` to
+  `build_electricity_demand` and `retrieve_load_data` to
+  `retrieve_electricity_demand`. ([#642](https://github.com/PyPSA/pypsa-eur/pull/642),
+  [#652](https://github.com/PyPSA/pypsa-eur/pull/652))
+
+* Updated to new spatial clustering module introduced in PyPSA v0.25.
+  ([#696](https://github.com/PyPSA/pypsa-eur/pull/696))
+
+**Changes**
+
+* Handling networks with links with multiple inputs/outputs no longer requires
+  to override component attributes.
+  ([#695](https://github.com/PyPSA/pypsa-eur/pull/695))
+
+* Added configuration option `enable: retrieve:` to control whether data
+  retrieval rules from snakemake are enabled or not. Th default setting `auto`
+  will automatically detect and enable/disable the rules based on internet
+  connectivity. ([#694](https://github.com/PyPSA/pypsa-eur/pull/694))
+
+* Update to `technology-data` v0.6.0.
+  ([#704](https://github.com/PyPSA/pypsa-eur/pull/704))
+
+* Handle data bundle extraction paths via `snakemake.output`.
+
+* Additional technologies are added to `tech_color` in the configuration files
+  to include previously unlisted carriers.
+
+* Doc: Added note that Windows is only tested in CI with WSL.
+  ([#697](https://github.com/PyPSA/pypsa-eur/issues/697))
+
+* Doc: Add support section. ([#656](https://github.com/PyPSA/pypsa-eur/pull/656))
+
+* Open `rasterio` files with `rioxarray`.
+  ([#474](https://github.com/PyPSA/pypsa-eur/pull/474))
+
+* Migrate CI to `micromamba`. ([#700](https://github.com/PyPSA/pypsa-eur/pull/700))
+
+**Bugs and Compatibility**
+
+* The new minimum PyPSA version is v0.25.1.
+
+* Removed `vresutils` dependency.
+  ([#662](https://github.com/PyPSA/pypsa-eur/pull/662))
+
+* Adapt to new `powerplantmatching` version.
+  ([#687](https://github.com/PyPSA/pypsa-eur/pull/687),
+  [#701](https://github.com/PyPSA/pypsa-eur/pull/701))
+
+* Bugfix: Correct typo in the CPLEX solver configuration in
+  `config.default.yaml`. ([#630](https://github.com/PyPSA/pypsa-eur/pull/630))
+
+* Bugfix: Error in `add_electricity` where carriers were added multiple times
+  to the network, resulting in a non-unique carriers error.
+
+* Bugfix of optional reserve constraint.
+  ([#645](https://github.com/PyPSA/pypsa-eur/pull/645))
+
+* Fix broken equity constraints logic.
+  ([#679](https://github.com/PyPSA/pypsa-eur/pull/679))
+
+* Fix addition of load shedding generators.
+  ([#649](https://github.com/PyPSA/pypsa-eur/pull/649))
+
+* Fix automatic building of documentation on readthedocs.org.
+  ([#658](https://github.com/PyPSA/pypsa-eur/pull/658))
+
+* Bugfix: Update network clustering to avoid adding deleted links in clustered
+  network. ([#678](https://github.com/PyPSA/pypsa-eur/pull/678))
+
+* Address `geopandas` deprecations.
+  ([#678](https://github.com/PyPSA/pypsa-eur/pull/678))
+
+* Fix bug with underground hydrogen storage creation, where for some small model
+  regions no cavern storage is available.
+  ([#672](https://github.com/PyPSA/pypsa-eur/pull/672))
+
+
+* Addressed deprecation warnings for `pandas=2.0`. `pandas=2.0` is now minimum requirement.
+
+
+## PyPSA-Eur 0.8.0 (18th March 2023)
+
+!!! note
+    This is the first release of PyPSA-Eur which incorporates its sector-coupled extension PyPSA-Eur-Sec (v0.7.0).
+    PyPSA-Eur can now directly be used for high-resolution energy system modelling with sector-coupling
+    including industry, transport, buildings, biomass, and detailed carbon management. The PyPSA-Eur-Sec repository is now deprecated.
+
+* The [solve_network][] script now uses the `linopy` backend of PyPSA and is applied for both electricity-only and sector-coupled models. This
+  requires an adjustment of custom `extra_functionality`.
+  See the [migration guide](https://pypsa.readthedocs.io/en/latest/examples/optimization-with-linopy-migrate-extra-functionalities.html) in the PyPSA documentation.
+
+* The configuration file `config.default.yaml` now also includes settings for
+  sector-coupled models, which will be ignored when the user runs
+  electricity-only studies. Common settings have been aligned.
+
+* Unified handling of scenario runs. Users can name their scenarios in ``run:
+  name:``, which will encapsulate results in a correspondingly named folder
+  under `results`. Additionally, users can select to encapsulate the `resources` folder
+  in the same way, through the setting `run: shared_resources:`.
+
+* The solver configurations in `config.default.yaml` are now modularized. To
+  change the set of solver options, change to value in ``solving: solver:
+  options:` to one of the keys in `solving: solver_options:``.
+
+* The `Snakefile` has been modularised. Rules are now organised in the
+  `rules` directory.
+
+* Unified wildcard for transmission line expansion from `{lv}` and `{ll}` to
+  `{ll}`.
+
+* Renamed collection rules to distinguish between sector-coupled and
+  electricity-only runs: `cluster_networks`, `extra_components_networks`,
+  `prepare_elec_networks`, `prepare_sector_networks`,
+  `solve_elec_networks`, `solve_sector_networks`, `plot_networks`,
+  `all`.
+
+* Some rules with a small computational footprint have been declared as `localrules`.
+
+* Added new utility rules `purge` for clearing workflow outputs from the
+  directory, `doc` to build the documentation, and `dag` to create a
+  workflow graph.
+
+* The workflow can now be used with the `snakemake --use-conda` directive. In
+  this way, Snakemake can automatically handle the installation of dependencies.
+
+* Data retrieval rules now retry download twice in case of connection problems.
+
+* The cutouts are now marked as `protected()` in the workflow to avoid
+  accidental recomputation.
+
+* The files contained in `data/bundle` are now marked as `ancient()` as they
+  are not expected to be altered by workflow changes.
+
+* Preparation scripts for sector-coupled models have been improved to only run
+  for the subset of selected countries rather than all European countries.
+
+* Added largely automated country code conversion using `country_converter`..
+
+* Test coverage extended to an electricity-only run and sector-coupled runs for
+  overnight and myopic foresight scenarios for Ubuntu, MacOS and Windows.
+
+* Apply `black` and `snakefmt` code formatting.
+
+* Implemented REUSE compatibility for merged code.
+
+* Merged documentations of PyPSA-Eur and PyPSA-Eur-Sec.
+
+* Added a tutorial for running sector-coupled models to the documentation
+  ([tutorial_sector](tutorial_sector.md)).
+
+* Deleted `config.tutorial.yaml`, which is superseded by
+  `test/config.electricity.yaml`.
+
+* The `mock_snakemake` function now also takes configuration files as inputs.
+
+* The helper scripts `helper.py` and `_helpers.py` have been merged into
+  `_helpers.py`.
+
+* The unused rule `plot_p_nom_max` has been removed.
+
+* The rule `solve_network` from PyPSA-Eur-Sec was renamed to
+  `solve_sector_network`.
+
+* The plotting scripts from PyPSA-Eur (electricity-only) have been removed and
+  are superseded by those from PyPSA-Eur-Sec (sector-coupled).
+
+
+## PyPSA-Eur Releases (pre-merge)
+
+### PyPSA-Eur 0.7.0 (16th February 2023)
+
+
+**New Features**
+
+* Carriers of generators can now be excluded from aggregation in clustering
+  network and simplify network (see `exclude_carriers`).
+
+* Added control for removing stubs in  [simplify_network][] with options
+  `remove_stubs` and `remove_stubs_across_countries`.
+
+* Add control for showing a progressbar in `atlite` processes
+  (`show_progress`). Disabling the progressbar saves a lot of time.
+
+* Added control for resolution of land eligibility analysis (see
+  `excluder_resolution`).
+
+
+**Breaking Changes**
+
+* The config entry `snapshots: closed:` was renamed to ``snapshots:
+  inclusive:` to address the upstream deprecation with `pandas=1.4``. The
+  previous setting `None` is no longer supported and replaced by `both`, see
+  the [pandas documentation](https://pandas.pydata.org/docs/reference/api/pandas.date_range.html).
+  Minimum version is now `pandas>=1.4`.
+
+* The configuration setting `summary_dir` was removed.
+
+
+**Changes**
+
+* Configuration defaults to new `technology-data` version 0.5.0.
+
+* Fixed CRS warnings when projection of datasets was not specified.
+
+* Cleaned shape unary unions.
+
+* Increased resource requirements for some rules.
+
+* Updated documentation.
+
+* The documentation now uses the `sphinx_book_theme`.
+
+
+**Bugs and Compatibility**
+
+
+* Bugfix: Corrected extent of natural protection areas in `build_natura_raster`.
+
+* Bugfix: Use correct load variables for formulating reserve constraints.
+
+* Bugfix: Use all available energy-to-power ratios for hydropower plants.
+
+* Bugfix: The most recent processing of the `entsoegridkit` extract required
+  further manual corrections. Also, the connection points of TYNDP links were
+  corrected.
+
+* Bugfix: Handle absence of hydropower inflow in `EQ` constraint.
+
+* Compatibility with `pyomo>=6.4.3` in [cluster_network][].
+
+* Upgrade to `shapely>=2`.
+
+* Updated version of CI cache action to version 3.
+*
+* Updated dependency constraints in `environment.yaml`.
+
+* Address various deprecation warnings.
+
+
+
+### PyPSA-Eur 0.6.1 (20th September 2022)
+
+* Individual commits are now tested against pre-commit hooks. This includes
+  black style formatting, sorting of package imports, Snakefile formatting and
+  others. Installation instructions can for the pre-commit can be found [here](https://pre-commit.com/).
+
+* Pre-commit CI is now part of the repository's CI.
+
+* The software now supports running the workflow with different settings within
+  the same directory. A new config section `run` was created that specifies
+  under which scenario `name` the created resources, networks and results
+  should be stored. If `name` is not specified, the workflow uses the default
+  paths. The entry `shared_cutouts` specifies whether the run should use
+  cutouts from the default root directory or use run-specific cutouts.
+
+* The heuristic distribution of today's renewable capacity installations is now
+  enabled by default.
+
+* The marginal costs of conventional generators are now taking the plant-specific
+  efficiency into account where available.
+
+### PyPSA-Eur 0.6.0 (10th September 2022)
+
+* Functionality to consider shipping routes when calculating the available area
+  for offshore technologies were added. Data for the shipping density comes from
+  the [Global Shipping Traffic Density dataset](https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density).
+
+* When transforming all transmission lines to a unified voltage level of 380kV,
+  the workflow now preserves the transmission capacity rather than electrical
+  impedance and reactance.
+
+* Memory resources are now specified for all rules.
+
+* Filtering of power plant data was adjusted to new versions of
+  `powerplantmatching`.
+
+* The resolution of land exclusion calculation is now a configurable option. See
+  setting `excluder_resolution`.
+
+
+### PyPSA-Eur 0.5.0 (27th July 2022)
+
+**New Features**
+
+* New network topology extracted from the ENTSO-E interactive map.
+* Added existing renewable capacities for all countries based on IRENA
+  statistics (IRENASTAT) using new `powerplantmatching` version:
+* The corresponding `config` entries changed from `estimate_renewable_capacities_from_capacity_stats` to `estimate_renewable_capacities`.
+* The estimation is endabled by setting the subkey `enable` to `True`.
+* Configuration of reference year for capacities can be configured (default: `2020`)
+* The list of renewables provided by the OPSD database can be used as a basis, using the tag `from_opsd: True`. This adds the renewables from the database and fills up the missing capacities with the heuristic distribution.
+* Uniform expansion limit of renewable build-up based on existing capacities
+  can be configured using `expansion_limit` option (default: `false`;
+  limited to determined renewable potentials)
+* Distribution of country-level capacities proportional to maximum annual
+  energy yield for each bus region
+* The config key `renewable_capacities_from_OPSD` is deprecated and was moved
+  under the section, `estimate_renewable_capacities`. To enable it, set
+  `from_opsd` to `True`.
+
+* Add operational reserve margin constraint analogous to [GenX implementation](https://genxproject.github.io/GenX/dev/core/#Reserves). Can be activated
+  with config setting `electricity: operational_reserve:`.
+
+* Implement country-specific  Energy Availability Factors (EAFs) for nuclear
+  power plants based on IAEA 2018-2020 reported country averages. These are
+  specified `data/nuclear_p_max_pu.csv` and translate to static `p_max_pu`
+  values.
+
+* Add function to add global constraint on use of gas in [prepare_network][].
+  This can be activated by including the keyword `CH4L` in the `{opts}`
+  wildcard which enforces the limit set in `electricity: gaslimit:` given in
+  MWh thermal. Alternatively, it is possible to append a number in the `{opts}`
+  wildcard, e.g. `CH4L200` which limits the gas use to 200 TWh thermal.
+
+* Add option to alter marginal costs of a carrier through `{opts}` wildcard:
+  `<carrier>+m<factor>`, e.g. `gas+m2.5`, will multiply the default marginal
+  cost for gas by factor 2.5.
+
+* Hierarchical clustering was introduced. Distance metric is calculated from
+  renewable potentials on hourly (feature entry ends with `-time`) or annual
+  (feature entry in config end with `-cap`) values.
+
+* Greedy modularity clustering was introduced. Distance metric is based on electrical distance taking into account the impedance of all transmission lines of the network.
+
+* Techno-economic parameters of technologies (e.g. costs and efficiencies) will
+  now be retrieved from a separate repository [PyPSA/technology-data](https://github.com/pypsa/technology-data) that collects assumptions from a
+  variety of sources. It is activated by default with ``enable:
+  retrieve_cost_data: true` and controlled with `costs: year:` and `costs:
+  version:`. The location of this data changed from `data/costs.csv`` to
+  `resources/costs.csv` [[#184](https://github.com/PyPSA/pypsa-eur/pull/184)].
+
+* A new section `conventional` was added to the config file. This section
+  contains configurations for conventional carriers.
+
+* Add configuration option to implement arbitrary generator attributes for
+  conventional generation technologies.
+
+* Add option to set CO2 emission prices through `{opts}` wildcard: `Ep<number>`,
+  e.g. `Ep180`, will set the EUR/tCO2 price.
+
+**Changes**
+
+* Add an efficiency factor of 88.55% to offshore wind capacity factors as a
+  proxy for wake losses. More rigorous modelling is [planned](https://github.com/PyPSA/pypsa-eur/issues/153) [[#277](https://github.com/PyPSA/pypsa-eur/pull/277)].
+
+* Following discussion in [#285](https://github.com/PyPSA/pypsa-eur/issues/285) we have disabled the
+  correction factor for solar PV capacity factors by default while satellite
+  data is used. A correction factor of 0.854337 is recommended if reanalysis
+  data like ERA5 is used.
+
+* The default deployment density of AC- and DC-connected offshore wind capacity
+  is reduced from 3 MW/sqkm to a more conservative estimate of 2 MW/sqkm [[#280](https://github.com/PyPSA/pypsa-eur/pull/280)].
+
+* The inclusion of renewable carriers is now specified in the config entry
+  `renewable_carriers`. Before this was done by commenting/uncommenting
+  sub-sections in the `renewable` config section.
+
+* Now, all carriers that should be extendable have to be listed in the config
+  entry `extendable_carriers`. Before, renewable carriers were always set to
+  be extendable. For backwards compatibility, the workflow is still looking at
+  the listed carriers under the `renewable` key. In the future, all of them
+  have to be listed under `extendable_carriers`.
+
+* It is now possible to set conventional power plants as extendable by adding
+  them to the list of extendable `Generator` carriers in the config.
+
+* Listing conventional carriers in `extendable_carriers` but not in
+  `conventional_carriers`, sets the corresponding conventional power plants as
+  extendable without a lower capacity bound of today's capacities.
+
+* Now, conventional carriers have an assigned capital cost by default.
+
+* The `build_year` and `lifetime` column are now defined for conventional
+  power plants.
+
+* Use updated SARAH-2 and ERA5 cutouts with slightly wider scope to east and
+  additional variables.
+
+* Resource definitions for memory usage now follow [Snakemake standard resource definition](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#standard-resources)
+  `mem_mb` rather than `mem`.
+
+* The powerplants that have been shut down by 2021 are filtered out.
+
+* Updated historical [EIA hydro generation data](https://www.eia.gov/international/data/world).
+
+* Network building is made deterministic by supplying a fixed random state to
+  network clustering routines.
+
+* Clustering strategies for generator and bus attributes can now be specified directly in the `config/config.yaml`.
+
+* Iterative solving with impedance updates is skipped if there are no expandable
+  lines.
+
+* The unused argument `simple_hvdc_costs` in [add_electricity][] was
+  removed.
+
+* Switch from Germany to Belgium for continuous integration and tutorial to save
+  resources.
+
+* It is now possible to skip the progressbar for land eligibility calculations for additional speedup.
+
+**Bugs and Compatibility**
+
+* Fix crs bug. Change crs 4236 to 4326.
+
+* `powerplantmatching>=0.5.1` is now required for `IRENASTATS`.
+
+* Update rasterio version to correctly calculate exclusion raster.
+
+* It is now possible to run the workflow with only landlocked countries.
+
+* Bugfixes for manual load adjustments across years.
+
+* Enable parallel computing with new dask version.
+
+* Restore compatibility of `mock_snakemake` with latest Snakemake versions.
+
+* Script `build_bus_regions`: move voronoi partition from vresutils to script.
+
+* Script `add_electricity`: remove `vresutils.costdata.annuity` dependency.
+
+* Fix the plot_network snakemake rule.
+
+* Compatibility with pandas 1.4. Address deprecations.
+
+* Restore Windows compatibility by using `shutil.move` rather than `mv`.
+
+
+### Synchronisation Release - Ukraine and Moldova (17th March 2022)
+
+On March 16, 2022, the transmission networks of Ukraine and Moldova have
+successfully been [synchronised with the continental European grid](https://www.entsoe.eu/news/2022/03/16/continental-europe-successful-synchronisation-with-ukraine-and-moldova-power-systems/). We have taken
+this as an opportunity to add the power systems of Ukraine and Moldova to
+PyPSA-Eur. This includes:
+
+![](img/synchronisation.png){width=500}
+
+* the transmission network topology from the [ENTSO-E interactive map](https://www.entsoe.eu/data/map/).
+
+* existing power plants (incl. nuclear, coal, gas and hydro) from the [powerplantmatching](https://github.com/fresna/powerplantmatching) tool
+
+* country-level load time series from ENTSO-E through the [OPSD platform](https://data.open-power-system-data.org/time_series/2020-10-06), which are then distributed heuristically to substations by GDP and population density.
+
+* wind and solar profiles based on ERA5 and SARAH-2 weather data
+
+* hydro profiles based on historical [EIA generation data](https://www.eia.gov/international/data/world)
+
+* a simplified calculation of wind and solar potentials based on the [Copernicus Land Cover dataset](https://land.copernicus.eu/global/products/lc).
+
+* electrical characteristics of 750 kV transmission lines
+
+The Crimean power system is currently disconnected from the main Ukrainian grid and, hence, not included.
+
+This release is not on the `master` branch. It can be used with
+
+```bash
+git clone https://github.com/pypsa/pypsa-eur
+git checkout synchronisation-release
+```
+
+
+### PyPSA-Eur 0.4.0 (22th September 2021)
+
+**New Features and Changes**
+
+* With this release, we change the license from copyleft GPLv3 to the more
+  liberal MIT license with the consent of all contributors
+  [[#276](https://github.com/PyPSA/pypsa-eur/pull/276)].
+
+* Switch to the new major `atlite` release v0.2.  The version upgrade comes
+  along with significant speed up for the rule `build_renewable_profiles.py`
+  (~factor 2). A lot of the code which calculated the land-use availability is now
+  outsourced and does not rely on `glaes`, `geokit` anymore. This facilitates
+  the environment building and version compatibility of `gdal`, `libgdal` with
+  other packages [[#224](https://github.com/PyPSA/pypsa-eur/pull/224)].
+
+* Implemented changes to `n.snapshot_weightings` in new PyPSA version v0.18
+  (cf. [PyPSA/PyPSA/#227](https://github.com/PyPSA/PyPSA/pull/227))
+  [[#259](https://github.com/PyPSA/pypsa-eur/pull/259)].
+
+* Add option to pre-aggregate nodes without power injections (positive or
+  negative, i.e. generation or demand) to electrically closest nodes or neighbors
+  in `simplify_network`. Defaults to `False`. This affects nodes that are no
+  substations or have no offshore connection.
+
+* In [simplify_network][], bus columns with no longer correct entries are
+  removed (symbol, tags, under_construction, substation_lv, substation_off)
+  [[#219](https://github.com/PyPSA/pypsa-eur/pull/219)]
+
+* Add option to include marginal costs of links representing fuel cells,
+  electrolysis, and battery inverters
+  [[#232](https://github.com/PyPSA/pypsa-eur/pull/232)].
+
+* The rule and script `build_country_flh` are removed as they are no longer
+  used or maintained.
+
+* The connection cost of generators in [simplify_network][] are now reported
+  in `resources/connection_costs_s{simpl}.csv`
+  [[#261](https://github.com/PyPSA/pypsa-eur/pull/261)].
+
+* The tutorial cutout was renamed from `cutouts/europe-2013-era5.nc` to
+  `cutouts/be-03-2013-era5.nc` to accommodate tutorial and productive
+  cutouts side-by-side.
+
+* The flag `keep_all_available_areas` in the configuration for renewable
+  potentials was deprecated and now defaults to `True`.
+
+* Update dependencies in `envs/environment.yaml`
+  [[#257](https://github.com/PyPSA/pypsa-eur/pull/257)]
+
+* Continuous integration testing switches to Github Actions from Travis CI
+  [[#252](https://github.com/PyPSA/pypsa-eur/pull/252)].
+
+* Documentation on readthedocs.io is now built with `pip` only and no longer
+  requires `conda` [[#267](https://github.com/PyPSA/pypsa-eur/pull/267)].
+
+* Use `Citation.cff` [[#273](https://github.com/PyPSA/pypsa-eur/pull/273)].
+
+**Bugs and Compatibility**
+
+
+* Support for PyPSA v0.18 [[#268](https://github.com/PyPSA/pypsa-eur/pull/268)].
+
+* Minimum Python version set to `3.8`.
+
+* Removed `six` dependency [[#245](https://github.com/PyPSA/pypsa-eur/pull/245)].
+
+* Update `plot_network` and [make_summary][] rules to latest PyPSA
+  versions  [[#270](https://github.com/PyPSA/pypsa-eur/pull/270)].
+
+* Keep converter links to store components when using the `ATK`
+  wildcard and only remove DC links [[#214](https://github.com/PyPSA/pypsa-eur/pull/214)].
+
+* Value for `co2base` in `config.yaml` adjusted to 1.487e9 t CO2-eq
+  (from 3.1e9 t CO2-eq). The new value represents emissions related to the
+  electricity sector for EU+UK+Balkan. The old value was too high and used when
+  the emissions wildcard in `{opts}` was used
+  [[#233](https://github.com/PyPSA/pypsa-eur/pull/233)].
+
+* Add escape in [base_network][] if all TYNDP links are already
+  contained in the network
+  [[#246](https://github.com/PyPSA/pypsa-eur/pull/246)].
+
+* In [solve_operations_network][] the optimised capacities are now
+  fixed for all extendable links, not only HVDC links
+  [[#244](https://github.com/PyPSA/pypsa-eur/pull/244)].
+
+* The `focus_weights` are now also considered when pre-clustering in
+  the [simplify_network][] rule
+  [[#241](https://github.com/PyPSA/pypsa-eur/pull/241)].
+
+* in `build_renewable_profile` where offshore wind profiles could
+  no longer be created [[#249](https://github.com/PyPSA/pypsa-eur/pull/249)].
+
+* Lower expansion limit of extendable carriers is now set to the
+  existing capacity, i.e. `p_nom_min = p_nom` (0 before). Simultaneously, the
+  upper limit (`p_nom_max`) is now the maximum of the installed capacity
+  (`p_nom`) and the previous estimate based on land availability (`p_nom_max`)
+  [[#260](https://github.com/PyPSA/pypsa-eur/pull/260)].
+
+* Solving an operations network now includes optimized store capacities
+  as well. Before only lines, links, generators and storage units were considered
+  [[#269](https://github.com/PyPSA/pypsa-eur/pull/269)].
+
+* With `load_shedding: true` in the solving options of `config.yaml`
+  load shedding generators are only added at the AC buses, excluding buses for H2
+  and battery stores [[#269](https://github.com/PyPSA/pypsa-eur/pull/269)].
+
+* Delete duplicated capital costs at battery discharge link
+  [[#240](https://github.com/PyPSA/pypsa-eur/pull/240)].
+
+* Propagate the solver log file name to the solver. Previously, the
+  PyPSA network solving functions were not told about the solver logfile specified
+  in the Snakemake file [[#247](https://github.com/PyPSA/pypsa-eur/pull/247)]
+
+### PyPSA-Eur 0.3.0 (7th December 2020)
+
+**New Features**
+
+Using the `{opts}` wildcard for scenario:
+
+* An option is introduced which adds constraints such that each country or node produces on average a minimal share of its total consumption itself.
+  For example `EQ0.5c` set in the `{opts}` wildcard requires each country to produce on average at least 50% of its consumption. Additionally,
+  the option `ATK` requires autarky at each node and removes all means of power transmission through lines and links. `ATKc` only removes
+  cross-border transfer capacities.
+  [[#166](https://github.com/PyPSA/pypsa-eur/pull/166)].
+
+* Added an option to alter the capital cost (`c`) or installable potentials (`p`) of carriers by a factor via `carrier+{c,p}factor` in the `{opts}` wildcard.
+  This can be useful for exploring uncertain cost parameters.
+  Example: `solar+c0.5` reduces the capital cost of solar to 50% of original values
+  [[#167](https://github.com/PyPSA/pypsa-eur/pull/167), [#207](https://github.com/PyPSA/pypsa-eur/pull/207)].
+
+* Added an option to the `{opts}` wildcard that applies a time series segmentation algorithm based on renewables, hydro inflow and load time series
+  to produce a given total number of adjacent snapshots of varying lengths.
+  This feature is an alternative to downsampling the temporal resolution by simply averaging and
+  uses the [tsam](https://tsam.readthedocs.io/en/latest/index.html) package
+  [[#186](https://github.com/PyPSA/pypsa-eur/pull/186)].
+
+
+More OPSD integration:
+
+* Add renewable power plants from [OPSD](https://data.open-power-system-data.org/renewable_power_plants/2020-08-25) to the network for specified technologies.
+  This will overwrite the capacities calculated from the heuristic approach in :func:`estimate_renewable_capacities()`
+  [[#212](https://github.com/PyPSA/pypsa-eur/pull/212)].
+
+* Electricity consumption data is now retrieved directly from the [OPSD website](https://data.open-power-system-data.org/time_series/2019-06-05) using the rule [build_electricity_demand][].
+  The user can decide whether to take the ENTSO-E power statistics data (default) or the ENTSO-E transparency data
+  [[#211](https://github.com/PyPSA/pypsa-eur/pull/211)].
+
+Other:
+
+* Added an option to use custom busmaps in rule [cluster_network][]. To use this feature set `enable: custom_busmap: true`.
+  Then, the rule looks for custom busmaps at `data/custom_busmap_elec_s{simpl}_{clusters}.csv`,
+  which should have the same format as `resources/busmap_elec_s{simpl}_{clusters}.csv`.
+  i.e. the index should contain the buses of `networks/elec_s{simpl}.nc`
+  [[#193](https://github.com/PyPSA/pypsa-eur/pull/193)].
+
+* Line and link capacities can be capped in the `config.yaml` at `lines: s_nom_max:` and `links: p_nom_max`:
+  [[#166](https://github.com/PyPSA/pypsa-eur/pull/166)].
+
+* Added Google Cloud Platform tutorial (for Windows users)
+  [[#177](https://github.com/PyPSA/pypsa-eur/pull/177)].
+
+**Changes**
+
+* Don't remove capital costs from lines and links, when imposing a line volume limit (`lv`) or a line cost limit (`lc`).
+  Previously, these were removed to move the expansion in direction of the limit
+  [[#183](https://github.com/PyPSA/pypsa-eur/pull/183)].
+
+* The mappings for clustered lines and buses produced by the [simplify_network][] and [cluster_network][] rules
+  changed from Hierarchical Data Format (`.h5`) to Comma-Separated Values format (`.csv`) for ease of use.
+  [[#198](https://github.com/PyPSA/pypsa-eur/pull/198)]
+
+* The N-1 security margin for transmission lines is now fixed to a provided value in `config.yaml`,
+  removing an undocumented linear interpolation between 0.5 and 0.7 in the range between 37 and 200 nodes.
+  [[#199](https://github.com/PyPSA/pypsa-eur/pull/199)].
+
+* Modelling hydrogen and battery storage with Store and Link components is now the default,
+  rather than using StorageUnit components with fixed power-to-energy ratio
+  [[#205](https://github.com/PyPSA/pypsa-eur/pull/205)].
+
+* Use `mamba` (https://github.com/mamba-org/mamba) for faster Travis CI builds
+  [[#196](https://github.com/PyPSA/pypsa-eur/pull/196)].
+
+* Multiple smaller changes: Removed unused `{network}` wildcard, moved environment files to dedicated `envs` folder,
+  removed sector-coupling components from configuration files, updated documentation colors, minor refactoring and code cleaning
+  [[#190](https://github.com/PyPSA/pypsa-eur/pull 190)].
+
+**Bugs and Compatibility**
+
+* Add compatibility for pyomo 5.7.0 in [cluster_network][] and [simplify_network][]
+  [[#172](https://github.com/PyPSA/pypsa-eur/pull/172)].
+
+* Fixed a bug for storage units such that individual store and dispatch efficiencies are correctly taken account of rather than only their round-trip efficiencies.
+  In the cost database (`data/costs.csv`) the efficiency of battery inverters should be stated as per discharge/charge rather than per roundtrip
+  [[#202](https://github.com/PyPSA/pypsa-eur/pull/202)].
+
+* Corrected exogenous emission price setting (in `config: cost: emission price:`),
+  which now correctly accounts for the efficiency and effective emission of the generators
+  [[#171](https://github.com/PyPSA/pypsa-eur/pull/171)].
+
+* Corrected HVDC link connections (a) between Norway and Denmark and (b) mainland Italy, Corsica (FR) and Sardinia (IT)
+  as well as for East-Western and Anglo-Scottish interconnectors
+  [[#181](https://github.com/PyPSA/pypsa-eur/pull/181), [#206](https://github.com/PyPSA/pypsa-eur/pull/206)].
+
+* Fix bug of clustering `offwind-{ac,dc}` generators in the option of high-resolution generators for renewables.
+  Now, there are more sites for `offwind-{ac,dc}` available than network nodes.
+  Before, they were clustered to the resolution of the network (`elec_s1024_37m.nc`: 37 network nodes, 1024 generators)
+  [[#191](https://github.com/PyPSA/pypsa-eur/pull/191)].
+
+* Raise a warning if `tech_colors` in the config are not defined for all carriers
+  [[#178](https://github.com/PyPSA/pypsa-eur/pull/178)].
+
+
+### PyPSA-Eur 0.2.0 (8th June 2020)
+
+* The optimization is now performed using the `pyomo=False` setting in the :func:`pypsa.lopf.network_lopf`. This speeds up the solving process significantly and consumes much less memory. The inclusion of additional constraints were adjusted to the new implementation. They are all passed to the :func:`network_lopf` function via the `extra_functionality` argument. The rule `trace_solve_network` was integrated into the rule [solve_network][] and can be activated via configuration with `solving: options: track_iterations: true`. The charging and discharging capacities of batteries modelled as store-link combination are now coupled [[#116](https://github.com/PyPSA/pypsa-eur/pull/116)].
+
+* An updated extract of the [ENTSO-E Transmission System Map](https://www.entsoe.eu/data/map/) (including Malta) was added to the repository using the [GridKit](https://github.com/PyPSA/GridKit) tool. This tool has been updated to retrieve up-to-date map extracts using a single [script](https://github.com/PyPSA/GridKit/blob/master/entsoe/runall_in_docker.sh). The update extract features 5322 buses, 6574 lines, 46 links. [[#118](https://github.com/PyPSA/pypsa-eur/pull/118)].
+
+* Added [FSFE REUSE](https://reuse.software) compliant license information. Documentation now licensed under CC-BY-4.0 [[#160](https://github.com/PyPSA/pypsa-eur/pull/160)].
+
+* Added a 30 minute [video introduction](https://pypsa-eur.readthedocs.io/en/latest/introduction.html) and a 20 minute [video tutorial](https://pypsa-eur.readthedocs.io/en/latest/tutorial.html)
+
+* Networks now store a color and a nicely formatted name for each carrier, accessible via `n.carrier['color']` and `n.carrier['nice_name'] `(networks after `elec.nc`).
+
+* Added an option to skip iterative solving usually performed to update the line impedances of expanded lines at `solving: options: skip_iterations:`.
+
+* `snakemake` rules for retrieving cutouts and the natura raster can now be disabled independently from their respective rules to build them; via `config.*yaml` [[#136](https://github.com/PyPSA/pypsa-eur/pull/136)].
+
+* Removed the `id` column for custom power plants in `data/custom_powerplants.csv` to avoid custom power plants with conflicting ids getting attached to the wrong bus [[#131](https://github.com/PyPSA/pypsa-eur/pull/131)].
+
+* Add option `renewables: {carrier}: keep_all_available_areas:` to use all available weather cells for renewable profile and potential generation. The default ignores weather cells where only less than 1 MW can be installed  [[#150](https://github.com/PyPSA/pypsa-eur/pull/150)].
+
+* Added a function `_helpers.load_network()` which loads a network with overridden components specified in `snakemake.config['override_components']` [[#128](https://github.com/PyPSA/pypsa-eur/pull/128)].
+
+* Bugfix in  [base_network][] which now finds all closest links, not only the first entry [[#143](https://github.com/PyPSA/pypsa-eur/pull/143)].
+
+* Bugfix in [cluster_network][] which now skips recalculation of link parameters if there are no links  [[#149](https://github.com/PyPSA/pypsa-eur/pull/149)].
+
+* Added information on pull requests to contribution guidelines [[#151](https://github.com/PyPSA/pypsa-eur/pull/151)].
+
+* Improved documentation on open-source solver setup and added usage warnings.
+
+* Updated `conda` environment regarding `pypsa`, `pyproj`, `gurobi`, `lxml`. This release requires PyPSA v0.17.0.
+
+### PyPSA-Eur 0.1.0 (9th January 2020)
+
+This is the first release of PyPSA-Eur, a model of the European power system at the transmission network level. Recent changes include:
+
+* Documentation on installation, workflows and configuration settings is now available online at [pypsa-eur.readthedocs.io](https://pypsa-eur.readthedocs.io) [[#65](https://github.com/PyPSA/pypsa-eur/pull/65)].
+
+* The `conda` environment files were updated and extended [[#81](https://github.com/PyPSA/pypsa-eur/pull/81)].
+
+* The power plant database was updated with extensive filtering options via `pandas.query` functionality [[#84](https://github.com/PyPSA/pypsa-eur/pull/84) and [#94](https://github.com/PyPSA/pypsa-eur/pull/94)].
+
+* Continuous integration testing with [Travis CI](https://travis-ci.org) is now included for Linux, Mac and Windows [[#82](https://github.com/PyPSA/pypsa-eur/pull/82)].
+
+* Data dependencies were moved to [zenodo](https://zenodo.org/) and are now versioned [[#60](https://github.com/PyPSA/pypsa-eur/issues/60)].
+
+* Data dependencies are now retrieved directly from within the snakemake workflow [[#86](https://github.com/PyPSA/pypsa-eur/pull/86)].
+
+* Emission prices can be added to marginal costs of generators through the keywords `Ep` in the `{opts}` wildcard [[#100](https://github.com/PyPSA/pypsa-eur/pull/100)].
+
+* An option is introduced to add extendable nuclear power plants to the network [[#98](https://github.com/PyPSA/pypsa-eur/pull/98)].
+
+* Focus weights can now be specified for particular countries for the network clustering, which allows to set a proportion of the total number of clusters for particular countries [[#87](https://github.com/PyPSA/pypsa-eur/pull/87)].
+
+* A new rule `add_extra_components` allows to add additional components to the network only after clustering. It is thereby possible to model storage units (e.g. battery and hydrogen) in more detail via a combination of `Store`, `Link` and `Bus` elements [[#97](https://github.com/PyPSA/pypsa-eur/pull/97)].
+
+* Hydrogen pipelines (including cost assumptions) can now be added alongside clustered network connections in the rule `add_extra_components` . Set `electricity: extendable_carriers: Link: [H2 pipeline]` and ensure hydrogen storage is modelled as a `Store`. This is a first simplified stage [[#108](https://github.com/PyPSA/pypsa-eur/pull/108)].
+
+* Logfiles for all rules of the `snakemake` workflow are now written in the folder `log/` [[#102](https://github.com/PyPSA/pypsa-eur/pull/102)].
+
+* The new function `_helpers.mock_snakemake` creates a `snakemake` object which mimics the actual `snakemake` object produced by workflow by parsing the `Snakefile` and setting all paths for inputs, outputs, and logs. This allows running all scripts within a (I)python terminal (or just by calling `python <script-name>`) and thereby facilitates developing and debugging scripts significantly [[#107](https://github.com/PyPSA/pypsa-eur/pull/107)].
+
+
+## PyPSA-Eur-Sec Releases (pre-merge)
+
+### PyPSA-Eur-Sec 0.7.0 (16th February 2023)
+
+This release includes many new features. Highlights include new gas
+infrastructure data with retrofitting options for hydrogen transport, improved
+carbon management and infrastructure planning, regionalised potentials for
+hydrogen underground storage and carbon sequestration, new applications for
+biomass, and explicit modelling of methanol and ammonia as separate energy
+carriers.
+
+This release is known to work with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.7.0 and [Technology Data](https://github.com/PyPSA/technology-data) Version 0.5.0.
+
+**Gas Transmission Network**
+
+* New rule `retrieve_gas_infrastructure_data` that downloads and extracts the
+  SciGRID_gas [IGGIELGN](https://zenodo.org/records/4767098) dataset from
+  zenodo. It includes data on the transmission routes, pipe diameters,
+  capacities, pressure, and whether the pipeline is bidirectional and carries
+  H-Gas or L-Gas.
+
+* New rule `build_gas_network` processes and cleans the pipeline data from
+  SciGRID_gas. Missing or uncertain pipeline capacities can be inferred by
+  diameter.
+
+* New rule `build_gas_input_locations` compiles the LNG import capacities
+  (from the Global Energy Monitor's [Europe Gas Tracker](https://globalenergymonitor.org/projects/europe-gas-tracker/), pipeline
+  entry capacities and local production capacities for each region of the model.
+  These are the regions where fossil gas can eventually enter the model.
+
+* New rule `cluster_gas_network` that clusters the gas transmission network
+  data to the model resolution. Cross-regional pipeline capacities are
+  aggregated (while pressure and diameter compatibility is ignored),
+  intra-regional pipelines are dropped. Lengths are recalculated based on the
+  regions' centroids.
+
+* With the option `sector: gas_network:`, the existing gas network is added
+  with a lossless transport model. A length-weighted [k-edge augmentation algorithm](https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation)
+  can be run to add new candidate gas pipelines such that all regions of the
+  model can be connected to the gas network. The number of candidates can be
+  controlled via the setting `sector: gas_network_connectivity_upgrade:`. When
+  the gas network is activated, all the gas demands are regionally disaggregated
+  as well.
+
+* New constraint allows endogenous retrofitting of gas pipelines to hydrogen
+  pipelines. This option is activated via the setting `sector: H2_retrofit:`.
+  For every unit of gas pipeline capacity dismantled, ``sector:
+  H2_retrofit_capacity_per_CH4`` units are made available as hydrogen pipeline
+  capacity in the corresponding corridor. These repurposed hydrogen pipelines
+  have lower costs than new hydrogen pipelines. Both new and repurposed
+  pipelines can be built simultaneously. The retrofitting option ``sector:
+  H2_retrofit:`` also works with a copperplated methane infrastructure, i.e.
+  when `sector: gas_network: false`.
+
+* New hydrogen pipelines can now be built where there are already power or gas
+  transmission routes. Previously, only the electricity transmission routes were
+  considered.
+
+**Carbon Management and Biomass**
+
+* Add option to spatially resolve carrier representing stored carbon dioxide
+  (`co2_spatial`). This allows for more detailed modelling of CCUTS, e.g.
+  regarding the capturing of industrial process emissions, usage as feedstock
+  for electrofuels, transport of carbon dioxide, and geological sequestration
+  sites.
+
+* Add option for regionally-resolved geological carbon dioxide sequestration
+  potentials through new rule `build_sequestration_potentials` based on
+  [CO2StoP](https://setis.ec.europa.eu/european-co2-storage-database_en). This
+  can be controlled in the section `regional_co2_sequestration_potential` of
+  the `config.yaml`. It includes options to select the level of conservatism,
+  whether onshore potentials should be included, the respective upper and lower
+  limits per region, and an annualisation parameter for the cumulative
+  potential. The defaults are preliminary and will be validated the next
+  release.
+
+* Add option to sweep the global CO2 sequestration potentials with keyword
+  `seq200` in the `{sector_opts}` wildcard (for limit of 200 Mt CO2).
+
+* Add option to include [Allam cycle gas power plants](https://en.wikipedia.org/wiki/Allam_power_cycle) (`allam_cycle`).
+
+* Add option for planning a new carbon dioxide network (`co2network`).
+
+* Separate option to regionally resolve biomass (`biomass_spatial`) from
+  option to allow biomass transport (`biomass_transport`).
+
+* Add option for biomass boilers (wood pellets) for decentral heating.
+
+* Add option for BioSNG (methane from biomass) with and without carbon capture.
+
+* Add option for BtL (biomass to liquid fuel/oil) with and without carbon
+  capture.
+
+
+**Other new features**
+
+* Add regionalised hydrogen salt cavern storage potentials from [Technical Potential of Salt Caverns for Hydrogen Storage in Europe](https://doi.org/10.20944/preprints201910.0187.v1). This data is compiled in
+  a new rule `build_salt_cavern_potentials`.
+
+* Add option to resolve ammonia as separate energy carrier with Haber-Bosch
+  synthesis, ammonia cracking, storage and industrial demand. The ammonia
+  carrier can be nodally resolved or copperplated across Europe (see
+  `ammonia`).
+
+* Add methanol as energy carrier, methanolisation as process, and option for
+  methanol demand in shipping sector.
+
+* Shipping demand now defaults to methanol rather than liquefied hydrogen
+  until 2050.
+
+* Demand for liquid hydrogen in international shipping is now geographically
+  distributed by port trade volumes in a new rule `build_shipping_demand`
+  using data from the [World Bank Data Catalogue](https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports).
+  Domestic shipping remains distributed by population.
+
+* Add option to aggregate network temporally using representative snapshots or
+  segments (with [tsam](https://github.com/FZJ-IEK3-VSA/tsam)).
+
+* Add option for minimum part load for Fischer-Tropsch plants (default: 90%) and
+  methanolisation plants (default: 50%).
+
+* Add option to use waste heat of electrolysis in district heating networks
+  (`use_electrolysis_waste_heat`).
+
+* Add option for coal CHPs with carbon capture (see `coal_cc`).
+
+* In overnight optimisation, it is now possible to specify a year for the
+  technology cost projections separate from the planning horizon.
+
+* New config options for changing energy demands in aviation
+  (`aviation_demand_factor`) and HVC industry (`HVC_demand_factor`), as well
+  as explicit ICE shares for land transport (`land_transport_ice_share`) and
+  agriculture machinery (`agriculture_machinery_oil_share`).
+
+* It is now possible to merge residential and services heat buses to reduce the
+  problem size (see `cluster_heat_nodes`).
+
+* Added option to tweak (almost) any configuration parameter through the
+  `{sector_opts}` wildcard. The regional_co2_sequestration_potential is
+  triggered by the prefix `CF+` after which it is possible to pipe to any
+  setting that does not contain underscores (`_`). Example:
+  `CF+sector+v2g+false` disables vehicle-to-grid flexibility.
+
+* Option `retrieve_sector_databundle` to automatically retrieve and extract
+  data bundle.
+
+* Removed the need to clone `technology-data` repository in a parallel
+  directory. The new approach automatically retrieves the technology data from
+  remote in the rule `retrieve_cost_data`.
+
+* Improved network plots including better legends, hydrogen retrofitting network
+  display, and change to EqualEarth projection. A new color scheme for
+  technologies was also introduced.
+
+* Add two new rules `build_transport_demand` and
+  `build_population_weighted_energy_totals` using code previously contained in
+  `prepare_sector_network`.
+
+* Rules that convert weather data with `atlite` now largely run separately for
+  categories residential, rural and total.
+
+* Units are assigned to the buses. These only provide a better understanding.
+  The specifications of the units are not taken into account in the
+  optimisation, which means that no automatic conversion of units takes place.
+
+* Configuration file and wildcards are now stored under `n.meta` in every
+  PyPSA network.
+
+* Updated [data bundle](https://zenodo.org/records/5824485/files/pypsa-eur-sec-data-bundle.tar.gz)
+  that includes the hydrogan salt cavern storage potentials.
+
+* Updated and extended documentation in
+  <https://pypsa-eur-sec.readthedocs.io/en/latest/>
+
+* Added new rule `copy_conda_env` that exports a list of packages with which
+  the workflow was executed.
+
+* Add basic continuous integration using Github Actions.
+
+* Add basic `rsync` setup.
+
+**Bugfixes**
+
+* The CO2 sequestration limit implemented as GlobalConstraint (introduced in the
+  previous version) caused a failure to read in the shadow prices of other
+  global constraints.
+
+* Correct capital cost of Fischer-Tropsch according to new units in
+  `technology-data` repository.
+
+* Fix unit conversion error for thermal energy storage.
+
+* For myopic pathway optimisation, set optimised capacities of power grid
+  expansion of previous iteration as minimum capacity for next iteration.
+
+* Further rather minor bugfixes for myopic optimisation code (see [#256](https://github.com/PyPSA/pypsa-eur-sec/pull/256)).
+
+
+Many thanks to all who contributed to this release!
+
+
+### PyPSA-Eur-Sec 0.6.0 (4 October 2021)
+
+This release includes
+improvements regarding the basic chemical production,
+the addition of plastics recycling,
+the addition of the agriculture, forestry and fishing sector,
+more regionally resolved biomass potentials,
+CO2 pipeline transport and storage, and
+more options in setting exogenous transition paths,
+besides many performance improvements.
+
+This release is known to work with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.4.0, [Technology Data](https://github.com/PyPSA/technology-data) Version 0.3.0 and
+[PyPSA](https://github.com/PyPSA/PyPSA) Version 0.18.0.
+
+Please note that the data bundle has also been updated.
+
+
+**General**
+
+* With this release, we change the license from copyleft GPLv3 to the more
+  liberal MIT license with the consent of all contributors.
+
+
+**New features and functionality**
+
+* Distinguish costs for home battery storage and inverter from utility-scale
+  battery costs.
+
+* Separate basic chemicals into HVC (high-value chemicals), chlorine, methanol and ammonia
+  [[#166](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166)].
+
+* Add option to specify reuse, primary production, and mechanical and chemical
+  recycling fraction of platics
+  [[#166](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166)].
+
+* Include energy demands and CO2 emissions for the agriculture, forestry and fishing sector.
+  It is included by default through the option `A` in the `sector_opts` wildcard.
+  Part of the emissions (1.A.4.c) was previously assigned to "industry non-elec" in the `co2_totals.csv`.
+  Hence, excluding the agriculture sector will now lead to a tighter CO2 limit.
+  Energy demands are taken from the JRC IDEES database (missing countries filled with eurostat data)
+  and are split into
+  electricity (lighting, ventilation, specific electricity uses, pumping devices (electric)),
+  heat (specific heat uses, low enthalpy heat)
+  machinery oil (motor drives, farming machine drives, pumping devices (diesel)).
+  Heat demand is assigned at "services rural heat" buses.
+  Electricity demands are added to low-voltage buses.
+  Time series for demands are constant and distributed inside countries by population
+  [[#147](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/147)].
+
+* Include today's district heating shares in myopic optimisation and add option
+  to specify exogenous path for district heating share increase under ``sector:
+  district_heating:`` [[#149](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/149)].
+
+* Added option for hydrogen liquefaction costs for hydrogen demand in shipping.
+  This introduces a new `H2 liquid` bus at each location. It is activated via
+  `sector: shipping_hydrogen_liquefaction: true`.
+
+* The share of shipping transformed into hydrogen fuel cell can be now defined
+  for different years in the `config.yaml` file. The carbon emission from the
+  remaining share is treated as a negative load on the atmospheric carbon dioxide
+  bus, just like aviation and land transport emissions.
+
+* The transformation of the Steel and Aluminium production can be now defined
+  for different years in the `config.yaml` file.
+
+* Include the option to alter the maximum energy capacity of a store via the
+  `carrier+factor` in the `{sector_opts}` wildcard. This can be useful for
+  sensitivity analyses. Example: `co2 stored+e2` multiplies the `e_nom_max` by
+  factor 2. In this example, `e_nom_max` represents the CO2 sequestration
+  potential in Europe.
+
+* Use [JRC ENSPRESO database](https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f) to
+  spatially disaggregate biomass potentials to PyPSA-Eur regions based on
+  overlaps with NUTS2 regions from ENSPRESO (proportional to area) ([#151](https://github.com/PyPSA/pypsa-eur-sec/pull/151)).
+
+* Add option to regionally disaggregate biomass potential to individual nodes
+  (previously given per country, then distributed by population density within)
+  and allow the transport of solid biomass. The transport costs are determined
+  based on the [JRC-EU-Times Bioenergy report](http://dx.doi.org/10.2790/01017) in the new optional rule
+  `build_biomass_transport_costs`. Biomass transport can be activated with the
+  setting `sector: biomass_transport: true`.
+
+* Add option to regionally resolve CO2 storage and add CO2 pipeline transport
+  because geological storage potential,
+  CO2 utilisation sites and CO2 capture sites may be separated. The CO2 network
+  is built from zero based on the topology of the electricity grid (greenfield).
+  Pipelines are assumed to be bidirectional and lossless. Furthermore, neither
+  retrofitting of natural gas pipelines (required pressures are too high, 80-160
+  bar vs <80 bar) nor other modes of CO2 transport (by ship, road or rail) are
+  considered. The regional representation of CO2 is activated with the config
+  setting `sector: co2_network: true` but is deactivated by default. The
+  global limit for CO2 sequestration now applies to the sum of all CO2 stores
+  via an `extra_functionality` constraint.
+
+* The myopic option can now be used together with different clustering for the
+  generators and the network. The existing renewable capacities are split evenly
+  among the regions in every country [[#144](https://github.com/PyPSA/PyPSA-Eur-Sec/pull/144)].
+
+* Add optional function to use `geopy` to locate entries of the Hotmaps
+  database of industrial sites with missing location based on city and country,
+  which reduces missing entries by half. It can be activated by setting
+  `industry: hotmaps_locate_missing: true`, takes a few minutes longer, and
+  should only be used if spatial resolution is coarser than city level.
+
+
+**Performance and Structure**
+
+* Extended use of `multiprocessing` for much better performance
+  (from up to 20 minutes to less than one minute).
+
+* Handle most input files (or base directories) via `snakemake.input`.
+
+* Use of `mock_snakemake` from PyPSA-Eur.
+
+* Update `solve_network` rule to match implementation in PyPSA-Eur by using
+  `n.ilopf()` and remove outdated code using `pyomo`.
+  Allows the new setting to skip iterated impedance updates with ``solving:
+  options: skip_iterations: true``.
+
+* The component attributes that are to be overridden are now stored in the folder
+  `data/override_component_attrs` analogous to `pypsa/component_attrs`.
+  This reduces verbosity and also allows circumventing the `n.madd()` hack
+  for individual components with non-default attributes.
+  This data is also tracked in the Snakefile.
+  A function `helper.override_component_attrs` was added that loads this data
+  and can pass the overridden component attributes into `pypsa.Network()`.
+
+* Add various parameters to `config.default.yaml` which were previously hardcoded inside the scripts
+  (e.g. energy reference years, BEV settings, solar thermal collector models, geomap colours).
+
+* Removed stale industry demand rules `build_industrial_energy_demand_per_country`
+  and `build_industrial_demand`. These are superseded with more regionally resolved rules.
+
+* Use simpler and shorter `gdf.sjoin()` function to allocate industrial sites
+  from the Hotmaps database to onshore regions.
+  This change also fixes a bug:
+  The previous version allocated sites to the closest bus,
+  but at country borders (where Voronoi cells are distorted by the borders),
+  this had resulted in e.g. a Spanish site close to the French border
+  being wrongly allocated to the French bus if the bus center was closer.
+
+* Retrofitting rule is now only triggered if endogeneously optimised.
+
+* Show progress in build rules with `tqdm` progress bars.
+
+* Reduced verbosity of `Snakefile` through directory prefixes.
+
+* Improve legibility of `config.default.yaml` and remove unused options.
+
+* Use the country-specific time zone mappings from `pytz` rather than a manual mapping.
+
+* A function `add_carrier_buses()` was added to the `prepare_network` rule to reduce code duplication.
+
+* In the `prepare_network` rule the cost and potential adjustment was moved into an
+  own function `maybe_adjust_costs_and_potentials()`.
+
+* Use `matplotlibrc` to set the default plotting style and backend.
+
+* Added benchmark files for each rule.
+
+* Consistent use of `__main__` block and further unspecific code cleaning.
+
+* Updated data bundle and moved data bundle to zenodo.org ([10.5281/zenodo.5546517](https://doi.org/10.5281/zenodo.5546517)).
+
+
+**Bugfixes and Compatibility**
+
+* Compatibility with `atlite>=0.2`. Older versions of `atlite` will no longer work.
+
+* Corrected calculation of "gas for industry" carbon capture efficiency.
+
+* Implemented changes to `n.snapshot_weightings` in PyPSA v0.18.0.
+
+* Compatibility with `xarray` version 0.19.
+
+* New dependencies: `tqdm`, `atlite>=0.2.4`, `pytz` and `geopy` (optional).
+  These are included in the environment specifications of PyPSA-Eur v0.4.0.
+
+Many thanks to all who contributed to this release!
+
+
+### PyPSA-Eur-Sec 0.5.0 (21st May 2021)
+
+This release includes improvements to the cost database for building retrofits, carbon budget management and wildcard settings, as well as an important bugfix for the emissions from land transport.
+
+This release is known to work with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.3.0 and [Technology Data](https://github.com/PyPSA/technology-data) Version 0.2.0.
+
+Please note that the data bundle has also been updated.
+
+New features and bugfixes:
+
+* The cost database for retrofitting of the thermal envelope of buildings has been updated. Now, for calculating the space heat savings of a building, losses by thermal bridges and ventilation are included as well as heat gains (internal and by solar radiation). See the section [retro](sector.md#rule-build_retro_cost) for more details on the retrofitting module.
+* For the myopic investment option, a carbon budget and a type of decay (exponential or beta) can be selected in the `config.yaml` file to distribute the budget across the `planning_horizons`. For example, `cb40ex0` in the `{sector_opts}` wildcard will distribute a carbon budget of 40 GtCO2 following an exponential decay with initial growth rate 0.
+* Added an option to alter the capital cost or maximum capacity of carriers by a factor via `carrier+factor` in the `{sector_opts}` wildcard. This can be useful for exploring uncertain cost parameters. Example: `solar+c0.5` reduces the `capital_cost` of solar to 50\% of original values. Similarly `solar+p3` multiplies the `p_nom_max` by 3.
+* Rename the bus for European liquid hydrocarbons from `Fischer-Tropsch` to `EU oil`, since it can be supplied not just with the Fischer-Tropsch process, but also with fossil oil.
+* Bugfix: The new separation of land transport by carrier in Version 0.4.0 failed to account for the carbon dioxide emissions from internal combustion engines in land transport. This is now treated as a negative load on the atmospheric carbon dioxide bus, just like aviation emissions.
+* Bugfix: Fix reading in of `pypsa-eur/resources/powerplants.csv` to PyPSA-Eur Version 0.3.0 (use column attribute name `DateIn` instead of old `YearDecommissioned`).
+* Bugfix: Make sure that `Store` components (battery and H2) are also removed from PyPSA-Eur, so they can be added later by PyPSA-Eur-Sec.
+
+Thanks to Lisa Zeyen (KIT) for the retrofitting improvements and Marta Victoria (Aarhus University) for the carbon budget and wildcard management.
+
+### PyPSA-Eur-Sec 0.4.0 (11th December 2020)
+
+This release includes a more accurate nodal disaggregation of industry demand within each country, fixes to CHP and CCS representations, as well as changes to some configuration settings.
+
+It has been released to coincide with [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) Version 0.3.0 and [Technology Data](https://github.com/PyPSA/technology-data) Version 0.2.0, and is known to work with these releases.
+
+New features:
+
+* The [Hotmaps Industrial Database](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database) is used to disaggregate the industrial demand spatially to the nodes inside each country (previously it was distributed by population density).
+* Electricity demand from industry is now separated from the regular electricity demand and distributed according to the industry demand. Only the remaining regular electricity demand for households and services is distributed according to GDP and population.
+* A cost database for the retrofitting of the thermal envelope of residential and services buildings has been integrated, as well as endogenous optimisation of the level of retrofitting. This is described in the paper [Mitigating heat demand peaks in buildings in a highly renewable European energy system](https://arxiv.org/abs/2012.01831). Retrofitting can be activated both exogenously and endogenously from the `config.yaml`.
+* The biomass and gas combined heat and power (CHP) parameters `c_v` and `c_b` were read in assuming they were extraction plants rather than back pressure plants. The data is now corrected in [Technology Data](https://github.com/PyPSA/technology-data) Version 0.2.0 to the correct DEA back pressure assumptions and they are now implemented as single links with a fixed ratio of electricity to heat output (even as extraction plants, they were always sitting on the backpressure line in simulations, so there was no point in modelling the full heat-electricity feasibility polygon). The old assumptions underestimated the heat output.
+* The Danish Energy Agency released [new assumptions for carbon capture](https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-industrial-process-heat-and) in October 2020, which have now been incorporated in PyPSA-Eur-Sec, including direct air capture (DAC) and post-combustion capture on CHPs, cement kilns and other industrial facilities. The electricity and heat demand for DAC is modelled for each node (with heat coming from district heating), but currently the electricity and heat demand for industrial capture is not modelled very cleanly (for process heat, 10% of the energy is assumed to go to carbon capture) - a new issue will be opened on this.
+* Land transport is separated by energy carrier (fossil, hydrogen fuel cell electric vehicle, and electric vehicle), but still needs to be separated into heavy and light vehicles (the data is there, just not the code yet).
+* For assumptions that change with the investment year, there is a new time-dependent format in the `config.yaml` using a dictionary with keys for each year. Implemented examples include the CO2 budget, exogenous retrofitting share and land transport energy carrier; more parameters will be dynamised like this in future.
+* Some assumptions have been moved out of the code and into the `config.yaml`, including the carbon sequestration potential and cost, the heat pump sink temperature, reductions in demand for high value chemicals, and some BEV DSM parameters and transport efficiencies.
+* Documentation on [supply_demand](supply_demand.md) options has been added.
+
+Many thanks to Fraunhofer ISI for opening the hotmaps database and to Lisa Zeyen (KIT) for implementing the building retrofitting.
+
+
+### PyPSA-Eur-Sec 0.3.0 (27th September 2020)
+
+This releases focuses on improvements to industry demand and the generation of intermediate files for demand for basic materials. There are still inconsistencies with CCS and waste management that need to be improved.
+
+It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69), PyPSA v0.17.1 and technology-data v0.1.0. Please note that the data bundle has also been updated.
+
+
+New features:
+
+* In previous version of PyPSA-Eur-Sec the energy demand for industry was calculated directly for each location. Now, instead, the production of each material (steel, cement, aluminium) at each location is calculated as an intermediate data file, before the energy demand is calculated from it. This allows us in future to have competing industrial processes for supplying the same material demand.
+* The script `build_industrial_production_per_country_tomorrow.py` determines the future industrial production of materials based on today's levels as well as assumed recycling and demand change measures.
+* The energy demand for each industry sector and each location in 2015 is also calculated, so that it can be later incorporated in the pathway optimization.
+* Ammonia production data is taken from the USGS and deducted from JRC-IDEES's "basic chemicals" so that it ammonia can be handled separately from the others (olefins, aromatics and chlorine).
+* Solid biomass is no longer allowed to be used for process heat in cement and basic chemicals, since the wastes and residues cannot be guaranteed to reach the high temperatures required. Instead, solid biomass is used in the paper and pulp as well as food, beverages and tobacco industries, where required temperatures are lower (see [DOI:10.1002/er.3436](https://doi.org/10.1002/er.3436) and [DOI:10.1007/s12053-017-9571-y](https://doi.org/10.1007/s12053-017-9571-y)).
+* National installable potentials for salt caverns are now applied.
+* When electricity distribution grids are activated, new industry electricity demand, resistive heaters and micro-CHPs are now connected to the lower voltage levels.
+* Gas distribution grid costs are included for gas boilers and micro-CHPs.
+* Installable potentials for rooftop PV are included with an assumption of 1 kWp per person.
+* Some intermediate files produced by scripts have been moved from the folder `data` to the folder `resources`. Now `data` only includes input data, while `resources` only includes intermediate files necessary for building the network models. Please note that the data bundle has also been updated.
+* Biomass potentials for different years and scenarios from the JRC are generated in an intermediate file, so that a selection can be made more explicitly by specifying the biomass types from the `config.yaml`.
+
+
+### PyPSA-Eur-Sec 0.2.0 (21st August 2020)
+
+This release introduces pathway optimization over many years (e.g. 2020, 2030, 2040, 2050) with myopic foresight, as well as outsourcing the technology assumptions to the [technology-data](https://github.com/PyPSA/technology-data) repository.
+
+It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69), PyPSA v0.17.1 and technology-data v0.1.0.
+
+New features:
+
+* Option for pathway optimization with myopic foresight, based on the paper [Early decarbonisation of the European Energy system pays off (2020)](https://arxiv.org/abs/2004.11009). Investments are optimized sequentially for multiple years (e.g. 2020, 2030, 2040, 2050) taking account of existing assets built in previous years and their lifetimes. The script uses data on the existing assets for electricity and building heating technologies, but there are no assumptions yet for existing transport and industry (if you include these, the model will greenfield them). There are also some [outstanding issues](https://github.com/PyPSA/pypsa-eur-sec/issues/19#issuecomment-678194802) on e.g. the distribution of existing wind, solar and heating technologies within each country. To use myopic foresight, set `foresight : 'myopic'` in the `config.yaml` instead of the default `foresight : 'overnight'`. An example configuration can be found in `config.myopic.yaml`. More details on the implementation can be found in [myopic](foresight.md).
+
+* Technology assumptions (costs, efficiencies, etc.) are no longer stored in the repository. Instead, you have to install the [technology-data](https://github.com/PyPSA/technology-data) database in a parallel directory. These assumptions are largely based on the [Danish Energy Agency Technology Data](https://ens.dk/en/our-services/projections-and-models/technology-data). More details on the installation can be found in [installation](installation.md).
+
+* Logs and benchmarks are now stored with the other model outputs in `results/run-name/`.
+
+* All buses now have a `location` attribute, e.g. bus `DE0 3 urban central heat` has a `location` of `DE0 3`.
+
+* All assets have a `lifetime` attribute (integer in years). For the myopic foresight, a `build_year` attribute is also stored.
+
+* Costs for solar and onshore and offshore wind are recalculated by PyPSA-Eur-Sec based on the investment year, including the AC or DC connection costs for offshore wind.
+
+Many thanks to Marta Victoria for implementing the myopic foresight, and Marta Victoria, Kun Zhu and Lisa Zeyen for developing the technology assumptions database.
+
+
+### PyPSA-Eur-Sec 0.1.0 (8th July 2020)
+
+This is the first proper release of PyPSA-Eur-Sec, a model of the European energy system at the transmission network level that covers the full ENTSO-E area.
+
+It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69) and PyPSA v0.17.0.
+
+We are making this release since in version 0.2.0 we will introduce changes to allow myopic investment planning that will require minor changes for users of the overnight investment planning.
+
+PyPSA-Eur-Sec builds on the electricity generation and transmission
+model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) to add demand
+and supply for the following sectors: transport, space and water
+heating, biomass, industry and industrial feedstocks. This completes
+the energy system and includes all greenhouse gas emitters except
+waste management, agriculture, forestry and land use.
+
+PyPSA-Eur-Sec was initially based on the model PyPSA-Eur-Sec-30 (Version 0.0.1 below) described
+in the paper [Synergies of sector coupling and transmission
+reinforcement in a cost-optimised, highly renewable European energy
+system](https://arxiv.org/abs/1801.05290) (2018) but it differs by
+being based on the higher resolution electricity transmission model
+[PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) rather than a
+one-node-per-country model, and by including biomass, industry,
+industrial feedstocks, aviation, shipping, better carbon management,
+carbon capture and usage/sequestration, and gas networks.
+
+
+PyPSA-Eur-Sec includes PyPSA-Eur as a
+[snakemake](https://snakemake.readthedocs.io/en/stable/index.html)
+[subworkflow](https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html#snakefiles-sub-workflows). PyPSA-Eur-Sec
+uses PyPSA-Eur to build the clustered transmission model along with
+wind, solar PV and hydroelectricity potentials and time series. Then
+PyPSA-Eur-Sec adds other conventional generators, storage units and
+the additional sectors.
+
+
+
+
+### PyPSA-Eur-Sec 0.0.2 (4th September 2020)
+
+This version, also called PyPSA-Eur-Sec-30-Path, built on
+PyPSA-Eur-Sec 0.0.1 (also called PyPSA-Eur-Sec-30) to include myopic
+pathway optimisation for the paper [Early decarbonisation of the
+European energy system pays off](https://arxiv.org/abs/2004.11009)
+(2020). The myopic pathway optimisation was then merged into the main
+PyPSA-Eur-Sec codebase in Version 0.2.0 above.
+
+This model has [its own github repository](https://github.com/martavp/pypsa-eur-sec-30-path) and is [archived
+on Zenodo](https://zenodo.org/records/4014807).
+
+
+
+### PyPSA-Eur-Sec 0.0.1 (12th January 2018)
+
+This is the first published version of PyPSA-Eur-Sec, also called
+PyPSA-Eur-Sec-30. It was first used in the research paper [Synergies of
+sector coupling and transmission reinforcement in a cost-optimised,
+highly renewable European energy system](https://arxiv.org/abs/1801.05290) (2018). The model covers 30
+European countries with one node per country. It includes demand and
+supply for electricity, space and water heating in buildings, and land
+transport.
+
+It is [archived on Zenodo](https://zenodo.org/records/1146666).
+
+
+## Release Process
+
+* Checkout a new release branch `git checkout -b release-v0.x.x`.
+
+* Finalise release notes at `doc/release_notes.rst`.
+
+* Update `envs/environment.fixed.yaml` via
+  `conda env export -n pypsa-eur -f envs/environment.fixed.yaml --no-builds`
+  from an up-to-date `pypsa-eur` environment.
+
+* Update version number in `doc/conf.py`, `CITATION.cff` and `*config.*.yaml`.
+
+* Make a `git commit`.
+
+* Open, review and merge pull request for branch `release-v0.x.x`.
+  Make sure to close issues and PRs or the release milestone with it (e.g. closes #X).
+
+* Tag a release on Github via `git tag v0.x.x`, `git push`, `git push --tags`. Include release notes in the tag message.
+
+* Make a [GitHub release](https://github.com/PyPSA/pypsa-eur-sec/releases), which automatically triggers archiving to the [zenodo code repository](https://doi.org/10.5281/zenodo.3520874) with [MIT license](https://opensource.org/licenses/MIT).
+
+* Send announcement on the [PyPSA mailing list](https://groups.google.com/forum/#!forum/pypsa).
diff --git a/doc/release_notes.rst b/doc/release_notes.rst
deleted file mode 100644
index 05c2ce4933..0000000000
--- a/doc/release_notes.rst
+++ /dev/null
@@ -1,4103 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-.. SPDX-FileCopyrightText: Open Energy Transition gGmbH
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Release Notes
-##########################################
-
-Upcoming Open-TYNDP Release
-================
-
-**Features**
-
-* Add Snakemake rules to launch the ``PyPSA-Explorer`` with pre-solved SB networks from previous releases (https://github.com/open-energy-transition/open-tyndp/pull/724).
-
-**Changes**
-
-* Add ``Undefined for generation`` hydrogen demand to the Market Model data for the Hydrogen Supply benchmark (https://github.com/open-energy-transition/open-tyndp/pull/718).
-
-* Update CBA workflow to accept different pre-solved SB network versions as input (https://github.com/open-energy-transition/open-tyndp/pull/725).
-
-* Add pixi tasks for running CBA workflow up until checkpoint `clean_projects` (https://github.com/open-energy-transition/open-tyndp/pull/726).
-
-* Update pixi task names and definitions to align between SB and CBA workflows (https://github.com/open-energy-transition/open-tyndp/pull/735).
-
-* Use only electricity-sourced emissions for and and change signs of B2 and B4 indicators (https://github.com/open-energy-transition/open-tyndp/pull/709).
-
-* Pass through and validate default solving options for CBA solve (https://github.com/open-energy-transition/open-tyndp/pull/708):
-
-  - Make breaking change by moving ``cba.solving.options.horizon`` and ``cba.solving.options.overlap`` to ``cba.solving.horizon`` and ``cba.solving.overlap``, respectively.
-  - Add ``include_objective_constant`` and ``assign_all_duals`` to solving config validator.
-  - Add ``gurobi-simplex`` as solver option.
-
-**Bugfixes and Compatibility**
-
-**Documentation**
-
-* Update benchmarking documentation tables and figures for v0.7.1 (https://github.com/open-energy-transition/open-tyndp/pull/711).
-
-**Developers Note**
-
-* Change GitHub issue templates to comply with ISO security checks (https://github.com/open-energy-transition/open-tyndp/pull/714, https://github.com/open-energy-transition/open-tyndp/pull/730).
-
-
-Upcoming PyPSA-Eur Release
-================
-
-* Add configuration schema updater that allows changes to be made in soft-forks without touching base PyPSA-Eur files (#2014).
-
-* Adjust ``powerplants_filter`` to include power plants operational in 2025.
-
-* Rewrite mapping of power plant sites to model regions / buses. Previously, power plants were mapped to the nearest bus in the same country.
-  Now, power plants are mapped using a spatial join to the onshore and offshore regions.
-  This change is necessary as the administrative clustering does not conform to the previous nearest-bus mapping.
-
-* Removed some outdated hotfixes in `build_powerplants.py`.
-
-* Estimate renewable capacities using plant-level data from Powerplantmatching, instead of only Global Energy Monitor (GEM) data. The setting ``from_gem`` is renamed to ``from_powerplantmatching``.
-
-* New setting ``from_irenastat`` to use IRENASTAT data to supplement potential plant-level data from Powerplantmatching for renewable capacity estimation. This step can now be skipped if sufficient plant-level data is available from Powerplantmatching.
-
-* Update default year for renewable capacity estimation to 2024 (latest available).
-
-* Include waste-to-energy plants in electricity-only networks.
-
-* Add 2030 to power plant grouping years by default.
-
-* Do not apply ``powerplantmatching`` phase-out heuristic in :mod:`build_powerplants`.
-
-* Bugfix: Ensure renewable carriers are not added as conventional power plants (if included in ``powerplants.csv``)
-
-* Bugfix: Improved handling of grouping years in :mod:`add_existing_baseyear`.
-
-* Added ``solving.options.store_model`` config option to store the linopy model as NetCDF file after solving. Not supported with rolling horizon. Configuration setting can not be set per scenario, only globally.
-* Update Swiss energy balances from the Swiss Federal Office of Energy (SFOE) to the latest version (October 2025).
-  The data is no longer stored in the repository, but directly retrieved from the SFOE website and processed in the ``build_swiss_energy_balances`` rule.
-
-* Added prebuilt OSM network v0.7 (https://zenodo.org/records/18619025) using updated workflow.
-
-* Fix unit commitment compatibility with PyPSA ≥ 1.0 component API to allow usage of unit commitment (https://github.com/PyPSA/pypsa-eur/pull/2049).
-
-* Update energy balances from JRC-IDEES-2021 to `JRC-IDEES-2023
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC138195>`__. The
-  default reference year was changed from 2019 to 2023.
-* Removed config options `sector:MWh_MeOH_per_tCO2`, `MWh_MeOH_per_MWh_H2`, and `MWh_MeOH_per_MWh_elec` in favour of corresponding data points from technology-data.
-* Download and process Eurostat energy balances from API. This replaces the discontinued ZIP bulk download.
-
-* The function `rescale_idees_from_eurostat` was removed.
-
-* New rule `build_eurostat_balances` to build energy balances from Eurostat data. Outsourced from `build_energy_totals`
-* Updated CO2 emission allowance prices data source to Instrat API for real-time pricing data.
-* Improved OSM network building process (https://github.com/PyPSA/pypsa-eur/pull/2030): Introducing support for temporal attributes (start_date, construction tags) and pure DC buses (switching stations). The interactive network map has been completely rebuilt using PyDeck/deck.gl with GPU acceleration and includes custom JS controls, offering fuzzy search, clickable OSM references, URL-based view sharing (#theme/zoom/lat/lon), and substantially improved performance. Additionally, a generalised plot from https://www.nature.com/articles/s41597-025-04550-7 enables systematic comparison of network topology changes over time. Cleaned naming scheme (https://github.com/PyPSA/pypsa-eur/pull/2052).
-
-* Add powerplantmatching v0.8.0 to data versions.
-
-* Add script path getter helper method to allow for rule inheritance in nested snakefiles.
-
-* Include new storage technologies such as li-ion, vanadium, lfp, lair, pair and iron-air. These technologies can now be configured as either store-link combinations or standalone storage units.
-  Implemented in both `add_electricity.py` and `prepare_sector_network.py` (https://github.com/PyPSA/pypsa-eur/pull/1961).
-
-* Updated data sources for country-level electricity demand time series. In addition to the OPSD data (``retrieve_electricity_demand_opsd``, demand time series
-  are now downloaded via the ENTSO-E Transparency Platform API (``retrieve_electricity_demand_entsoe`` environment variable ``ENTSOE_API_KEY`` required)
-  and from the NESO data portal for Great Britain and Northern Ireland (``retrieve_electricity_demand_neso``).
-  Manual corrections and gap filling methods have been applied and checked for data until the end of 2025.
-  (https://github.com/PyPSA/pypsa-eur/pull/1828).
-
-* Applied scaling of kW and GW to MW for custom_costs as well (https://github.com/PyPSA/pypsa-eur/pull/2023).
-
-* Fix wildcards error in `clean_osm_data` rule message introduced in github.com/PyPSA/pypsa-eur/pull/1846 by replacing `wildcards.country` with expanded `config["countries"]` list (https://github.com/PyPSA/pypsa-eur/pull/2022).
-
-* Fix `None` default config parameter from creating zero availability for offshore wind (#2019).
-
-* Remove snakemake's slurm plugin from windows installations (https://github.com/PyPSA/pypsa-eur/pull/2009).
-
-* Added Xpress solver configuration options (``xpress-default`` and ``xpress-gpu``) with barrier method settings optimized for large-scale linear programming problems.
-
-* Added missing bidding zone data sources to data layer (https://github.com/PyPSA/pypsa-eur/pull/1991).
-
-* Fix virtual bus naming when building the transmission network from raw OSM data to use persistent names (https://github.com/PyPSA/pypsa-eur/pull/1956).
-
-* Fix column selection when preparing OSM pre-built releases (https://github.com/PyPSA/pypsa-eur/pull/1956).
-
-* Fix: capital-cost of solar-hsat did not get adjusted to current planning_horizon in myopic optimization
-
-* Removed the ``secrets`` configuration section and disallow setting Gurobi license credentials (WLSACCESSID, WLSSECRET, LICENSEID) in config files to prevent accidental exposure of sensitive credentials. Use environment variables or license files instead (https://github.com/PyPSA/pypsa-eur/pull/1989).
-
-* Fix ConsistencyError for Links without buses when `gas_network: true`, but no `conventional_generation` (https://github.com/PyPSA/pypsa-eur/pull/1971)
-
-* Fix ConsistencyError for Links without buses when `industry: true`, but no `conventional_generation` or `biomass` (https://github.com/PyPSA/pypsa-eur/pull/1971)
-
-* Fix `mock_snakemake` due to breaking `snakemake` upstream API changes, i.e., requiring passing a `LoggerManager` instance (https://github.com/PyPSA/pypsa-eur/pull/1984).
-
-* Added technology-data v0.13.4 (https://github.com/PyPSA/technology-data/releases/tag/v0.13.4) to data versions (https://github.com/PyPSA/pypsa-eur/pull/1985).
-
-* Important: PyPSA-Eur now uses a validation schema for configuration files. The schema
-  also contains the default values for all known configuration options, which means
-  `config/config.default.yaml` still exists and can be used, but will be automatically
-  exported from the schema. Changes to the default config, therefore now require the
-  schema to be updated. Find a detailed explanation in the contributors documentation
-  (https://github.com/PyPSA/pypsa-eur/pull/1912).
-
-* Fix bugs when using PyPSA-Eur as a Snakemake module by making sure that all file paths are defined relative to a rule's input or an output (https://github.com/PyPSA/pypsa-eur/pull/1967).
-
-* Fix compatibility of rules `build_gas_input_locations` and `build_gas_network` with pyogrio >=0.12.0 (https://github.com/PyPSA/pypsa-eur/pull/1955).
-
-* Added interactive (html) balance maps `results/maps/interactive/` (https://github.com/PyPSA/pypsa-eur/pull/1935) based on https://docs.pypsa.org/latest/user-guide/plotting/explore/. Settings for interactive maps can be found in `plotting.default.yaml` under `plotting["balance_map_interactive"]`.
-
-* Relocated and modified static (pdf) balance maps to `results/maps/static/` (https://github.com/PyPSA/pypsa-eur/pull/1935) for better organization.
-
-* With https://github.com/PyPSA/pypsa-eur/pull/1935, note that bus carriers for balance maps containing spaces need to be specified with underscores `_` in the configuration file, e.g., `co2_stored` instead of `co2 stored`. This is to ensure compatibility with queue managers like slurm.
-
-* Fix building osm network using overpass API (https://github.com/PyPSA/pypsa-eur/pull/1940).
-
-* Added configuration option to set overpass API URL, maximum retries, timeout and user agent information (https://github.com/PyPSA/pypsa-eur/pull/1940 and https://pypsa-eur.readthedocs.io/en/latest/configuration.html#overpass_api). For a list of public overpass APIs see `here <https://wiki.openstreetmap.org/wiki/Overpass_API#Public_Overpass_API_instances>`_.
-
-* Refactored `solve_network.py` and `solve_operations_network.py` to separate optimization problem preparation from solving, enabling inspection of optimization problems before solve execution.
-
-* Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`.
-
-* Added existing biomass decentral/rural residential and services heating capacity.
-
-* Fix parsing in Swiss passenger cars data (https://github.com/PyPSA/pypsa-eur/pull/1934 and https://github.com/PyPSA/pypsa-eur/pull/1936).
-
-* Fix: ValueError with `cop_heat_pump` in `prepare_sector_network.py` if `tim_dep_hp_cop` is `false`.
-
-* Fixed OSM raw data cleaning to include `section` line relation role.
-
-* Fixed missing raw OSM HVDC links defined using the ``power=circuit`` tag (NOTE: ``type=route``+``route=power`` is `deprecated <https://wiki.openstreetmap.org/wiki/Tag%3Aroute%3Dpower>`_).
-
-* Fixed bugs with load shedding due to incorrect use of `sign` argument in `n.add` and `np.isscalar` (https://github.com/PyPSA/pypsa-eur/pull/1908).
-
-* chore: disable PTES dynamic capacity by default
-
-* Add CO2 emission prices configurable per planning horizon for sector-coupled models.
-  The CO2 price is added as a marginal cost on the `co2 atmosphere` Store.
-
-* Add `custom storage plugin <https://github.com/PyPSA/snakemake-storage-plugin-cached-http>`_ to handle retrievals from zenodo to address recurring failures.
-
-* Move to [pixi](https://pixi.sh/latest/) for robust cross-platform dependency management.
-
-* Fix: Allocate heat pump CAPEX on heat instead of electricity bus instead and remove nominal efficiency from CAPEX calculation
-
-* Fix: Configsettings for `heat_pump_cop_approximation` are now correctly passed to `CentralHeatingCopApproximator.py`
-
-* Fix: Allocate heat pump CAPEX on heat instead of electricity bus instead and remove nominal efficiency from CAPEX calculation
-
-* Fix: Configsettings for `heat_pump_cop_approximation` are now correctly passed to `CentralHeatingCopApproximator.py`
-
-* Fix: Deprecation warnings from `pandas>=2.3.0` (https://github.com/PyPSA/pypsa-eur/pull/1898)
-
-* Feature: Introduce a new method to overwrite costs (https://github.com/PyPSA/pypsa-eur/pull/1752, https://github.com/PyPSA/pypsa-eur/pull/1879). Modifications to the default techno-economic assumptions can now be configured via `costs:custom_cost_fn`, which applies changes to the `resources/costs_{planning_horizons}.csv` files. The default configuration includes minor adjustments to stabilize optimization results. The existing implementation via `costs:overwrites` and `costs:capital_cost`/`costs:marginal_cost` parameters remains available but will be deprecated in a future release.
-
-* Fixed `AttributeError` in `prepare_sector_network.py` when running sector-coupled
-  PyPSA-Eur with only one country and cluster.
-  (https://github.com/PyPSA/pypsa-eur/pull/1835)
-
-* Added river-water and sea-water sourced heat pumps as well as interactive bus-balance plots and heat-source maps. Also introduced district heating areas in which heat sources must be located.
-
-* Added automatic retry for some (Zenodo) HTTP requests to handle transient errors
-  like rate limiting and server errors.
-
-* Fixed `ValueError` in `prepare_sector_network.py` in function `add_storage_and_grids`
-  when running with few nodes such that they are all already connected by existing gas
-  lines. (https://github.com/PyPSA/pypsa-eur/pull/1780)
-
-* Fixed `AttributeError` in `prepare_sector_network.py` when running sector-coupled
-  PyPSA-Eur with only one country. (https://github.com/PyPSA/pypsa-eur/pull/1778)
-
-* Fixed `FileNotFoundError` bugs preventing pypsa from being run as a Snakemake
-  module. The cause of this bug was that intermediate zip files in rules were being
-  saved in directories that didn't exist yet (without creating the parent directories).
-  This didn't fail when using PyPSA-Eur as a standalone module, because the directory
-  was the same as the rule's output file. However, when using PyPSA-Eur as a Snakemake
-  module, this was not the case as Snakemake prepends a prefix to all the input and
-  output files, but not to any file locations listed as parameters. The fix was to save
-  intermediate zip files at the top directory level. This was fixed for many rules in
-  `retrieve.smk`, i.e., `retrieve_eez`, `retrieve_nuts_2021_shapes`,
-  `retrieve_nuts_2013_shapes`, `retrieve_worldbank_urban_population`,
-  `retrieve_co2stop`, `download_wdpa`, `download_wdpa_marine`, `retrieve_eurostat_data`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1768)
-
-* Updated standing losses for PTES, central TTES, and decentral TTES, previously calculated using the ``tes_tau`` parameter, to the latest DEA technology data, and updated costs version to v0.13.3.
-
-* Introduce a new base network using TYNDP 2024 data (https://github.com/PyPSA/pypsa-eur/pull/1646). This base network can be used with `tyndp` as `base_network`. It models NTC transmission capacities between TYNDP bidding zones using unidirectional `links`. This implementation neglects KVL and is referred to as a transport model. This is consistent with the TYNDP 2024 methodology.
-
-* Fixed missing costs name for geothermal-sourced heat pump and allowed geothermal heat pumps in test configs.
-
-* Changed error handling for non-extendable heat storage in energy-to-power ratio constraints to warning.
-
-* Allow expandable CCGTs by default
-
-* Updated `build_osm_network` and `clean_osm_data` to handle voltage levels below 220 kV (down to 63 kV). When `base_network` is set to `osm_raw`, an electricity grid from voltage levels AC 63 kV to 750 kV can be created (experimental feature). For an example, see the example configuration in `config/examples/config-distribution-grid-experimental.yaml`.
-
-* Added integration with the OETC platform
-
-* Fix `retrieve_eurostat_data` and `retrieve_eurostat_household_data` on Windows by avoiding a double access to a temporary file.
-  (https://github.com/PyPSA/pypsa-eur/pull/1825)
-
-* Update GEM steel plant tracker and use initial release of GEM cement plant tracker.
-
-* Added integration with the OETC platform
-
-* Remove pinned environment files mention in the pre-commit-config-yaml (https://github.com/PyPSA/pypsa-eur/pull/1837)
-
-* Add user-readable messages to each rule (https://github.com/PyPSA/pypsa-eur/pull/1846)
-
-* Increase minimum required `pypsa` version to 0.33.2 (https://github.com/PyPSA/pypsa-eur/pull/1849)
-
-* Running perfect foresight is now marked as unstable and may not work as expected.
-
-* Add residential heat demand-side management (DSM) based on `smartEn study <https://smarten.eu/wp-content/uploads/2022/10/SmartEN-DSF-benefits-2030-Report_DIGITAL-1.pdf>`_ methodology. See new settings under `sector: residential_heat`.
-
-* Remove the hotfix in `progress_retrieve` and check that the directory exists (https://github.com/PyPSA/pypsa-eur/pull/1840).
-
-* Added minimum unit dispatch setting option for electrolysis
-
-* Feature: All input data to the model is now version controlled. The data versions are listed in `data/versions.csv` and can be configured in the configfile. (https://github.com/PyPSA/pypsa-eur/pull/1675)
-
-* Deprecate `shared_cutouts`: This configuration entry is no longer supported. Cutouts are always shared.
-  To use scenario specific cutouts with different time or spatial resolution, make sure to name those cutouts differently in the `atlite:` configuration entry.
-
-* Move cutouts into `data/cutouts/` directory for consistency. Note: This will trigger all cutouts to be re-downloaded or rebuild. If you need to retain downloaded cutouts, move them manually into `data/cutouts/`.
-
-* Deprecate the ability to determine ``cutout`` bounds based on ``regions_onshore`` and ``regions_offshore``.
-  Instead ``cutouts`` need to have their bounds explicitly defined in the configuration file.
-
-* Moved configuration for ``cutout`` preparation into a nested dictionary ``prepare_kwargs``.
-  This allows to pass any keyword argument supported by ``atlite.Cutout.prepare()`` like ``tmpdir``.
-
-* Deprecate the configuration options ``enable: retrieve``, ``enable: retrieve_databundle``, and ``enable: retrieve_cost_data``.
-  Instead, the rules are always included in the workflow. If no internet connection is available, the rules will fail.
-
-* Misc: Empty folders that are automatically generated by ``snakemake`` have been added to the repository, e.g. ``resources/`` and ``results/``.
-  The ``purge`` rule now removes their contents but keeps the folders (https://github.com/PyPSA/pypsa-eur/pull/1764).
-
-* Misc: Automatically update the DAGs shown in the documentation (https://github.com/PyPSA/pypsa-eur/pull/1880).
-
-* Fix the WDPA links to function on Windows (https://github.com/PyPSA/pypsa-eur/pull/2008).
-
-* Fix: An issue with the download and extraction of WDPA and WDPA Marine data (https://github.com/PyPSA/pypsa-eur/issues/2005).
-
-* The lockfile update workflow now excludes packages published within the last 7 days to reduce the risk of pulling in broken or yanked releases (https://github.com/PyPSA/pypsa-eur/pull/2130).
-
-
-Open-TYNDP v0.7.1 (19th May 2026)
-========================================
-
-**Bugfixes and Compatibility**
-
-* Restrict linopy to <0.7.0 to work around a bug in linopy v0.7.0 where generator constraints are violated, resulting in a negative objective function value. This is a temporary pin until the issue is resolved upstream (https://github.com/open-energy-transition/open-tyndp/pull/705).
-
-
-Open-TYNDP v0.7 (19th May 2026)
-========================================
-
-**Features**
-
-* Implement demand side response (DSR) components and price bands (https://github.com/open-energy-transition/open-tyndp/pull/598). This is configurable via ``electricity.constrain_dsr`` and ``cba.constrain_dsr`` in the configuration file.
-
-* Add functionality to use different sources (ENTSO-E and ENTSOs) of H2 reference grid data via ``sector.h2_reference_grid_source`` (https://github.com/open-energy-transition/open-tyndp/pull/611).
-
-* Add configuration switch to patch faulty electricity demand profiles with Market Model output data (https://github.com/open-energy-transition/open-tyndp/pull/647).
-
-* Refactor the TYNDP carrier mappings into a central CSV file, adding consistent nice names to all carriers (https://github.com/open-energy-transition/open-tyndp/pull/658).
-
-* Add ``tyndp-archive`` as a new data source backed by an Open-TYNDP Google Cloud Storage bucket (``open-tyndp-data-store``) where archived datasets are mirrored. This enables fully reproducible runs without depending on third-party data providers (https://github.com/open-energy-transition/open-tyndp/pull/682). Six datasets currently remain to be retrieved from primary sources due to licensing constraints.
-
-**Changes**
-
-* Modify B1 indicator calculation to only use OPEX and not total system cost (OPEX + CAPEX) (https://github.com/open-energy-transition/open-tyndp/pull/668).
-
-* Add dumped energy to power generation benchmarking (https://github.com/open-energy-transition/open-tyndp/pull/615).
-
-* Add numbers of hours of demand shedding to benchmarking (https://github.com/open-energy-transition/open-tyndp/pull/657).
-
-* Disable OCGT as an extendable carrier and add load shedding for H2 and AC (https://github.com/open-energy-transition/open-tyndp/pull/547).
-
-* Add imports to H2 Market Model (MM) supply benchmark (https://github.com/open-energy-transition/open-tyndp/pull/604).
-
-* Add cross-border flows to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/609).
-
-* Improve price benchmarking excluding load-shedding to account for sector-coupling effects by lowering the carrier-specific threshold used to filter marginal prices (https://github.com/open-energy-transition/open-tyndp/pull/701).
-
-* Add option to patch offshore hubs interconnectors with Market Model data (https://github.com/open-energy-transition/open-tyndp/pull/654). The patch is optionally applied and is enabled with ``sector:offshore_hubs_tyndp:patch_crossborder_with_mm``.
-
-* Apply derived bus name mappings when computing offshore hubs interconnector benchmarks (https://github.com/open-energy-transition/open-tyndp/pull/656).
-
-* Add separate solver option for CBA MSV extraction (``cba.msv_extraction.solving``) and move CBA solve logs to ``results/cba/logs/`` (https://github.com/open-energy-transition/open-tyndp/pull/627).
-
-* Change the number of threads used for CBA MSV extraction (``solve_cba_msv_extraction``) to ``solver_threads`` to speed up high-resolution runs when using commercial solvers (https://github.com/open-energy-transition/open-tyndp/pull/649).
-
-* Refactor CBA workflow to only temporarily save CBA project networks in ``resources/`` (https://github.com/open-energy-transition/open-tyndp/pull/652).
-
-* Disable noise added to costs in CBA solves, via ``cba.msv_extraction.solving.options.noisy_costs`` and ``cba.solving.options.noisy_costs`` (https://github.com/open-energy-transition/open-tyndp/pull/687).
-
-**Bugfixes and Compatibility**
-
-* Fix flows in balance maps (https://github.com/open-energy-transition/open-tyndp/pull/608).
-
-* Improve EU-wide prices with Pan-European values (https://github.com/open-energy-transition/open-tyndp/pull/607).
-
-* Adjust ``build_statistics`` to be compatible with not modelling the electricity distribution grid with low voltage buses (https://github.com/open-energy-transition/open-tyndp/pull/634).
-
-* Fix NaN values of ``marginal_cost_original`` in solved networks (https://github.com/open-energy-transition/open-tyndp/pull/613).
-
-* Fix labeling of climate years in CBA indicators output CSVs (https://github.com/open-energy-transition/open-tyndp/pull/620).
-
-* Fix CBA workflow to correctly handle simple runs and collection (multi-climate year) runs (https://github.com/open-energy-transition/open-tyndp/pull/625).
-
-* Adjust DSR and demand shedding mapping across data sources to benchmark them accurately (https://github.com/open-energy-transition/open-tyndp/pull/645).
-
-* Fix mapping of biofuels in the Final Energy Demand table of the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/667).
-
-* Fix DSR benchmarking of installed capacities and add notes to plots (https://github.com/open-energy-transition/open-tyndp/pull/663).
-
-* Fix CRS compatibility between ``entsoepy`` and ``electricitymaps`` bidding zone shapes (https://github.com/open-energy-transition/open-tyndp/pull/672).
-
-* Refactor the extraction of cross-border flows used by the benchmarking framework to use ``n.statistics`` (https://github.com/open-energy-transition/open-tyndp/pull/680).
-
-* Update PEMMDB version reference to correct version v2.5 in the documentation (https://github.com/open-energy-transition/open-tyndp/pull/681).
-
-* Fix units in B4 indicator calculation (https://github.com/open-energy-transition/open-tyndp/pull/693).
-
-* Fix missing native electricity demand mapping for the Market Model in the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/692). This enables the load-weighted average Pan-EU Market Model price calculation and per-node electricity demand validation.
-
-* Refactor the ``plot_benchmarks`` script in order to reduce memory requirements and accelerate processing (https://github.com/open-energy-transition/open-tyndp/pull/696).
-
-* Improve performance of ``build_statistics`` by adjusting snapshot weightings within networks to be applied automatically within ``n.statistics`` instead of manually in ``build_statistics`` (https://github.com/open-energy-transition/open-tyndp/pull/674).
-
-* Fix prices on interactive maps to exclude load shedding (https://github.com/open-energy-transition/open-tyndp/pull/689).
-
-* Fix the interconnector normalisation by mapping the bus names prior to their normalisation for all the cross-border benchmarks (https://github.com/open-energy-transition/open-tyndp/pull/703).
-
-**Documentation**
-
-* Restructure documentation: split benchmarking into SB and CBA sections, add PyPSA-Eur pages (https://github.com/open-energy-transition/open-tyndp/pull/676).
-
-* Add hint on specifying physical RAM limit for Snakemake to use when scheduling jobs (https://github.com/open-energy-transition/open-tyndp/pull/699).
-
-**Developers Note**
-
-* Upload Windows installer as unzipped artifact (https://github.com/open-energy-transition/open-tyndp/pull/621).
-
-* Improve robustness of ``retrieve_bidding_zones_entsoepy`` by using ``requests`` instead of ``geopandas`` to retrieve data (https://github.com/open-energy-transition/open-tyndp/pull/644).
-
-* Save current git version label and commit in network metadata for improved versioning of runs (https://github.com/open-energy-transition/open-tyndp/pull/675).
-
-* Add buttons to the interactive balance maps and decrease file size (https://github.com/open-energy-transition/open-tyndp/pull/669).
-
-
-Open-TYNDP v0.6.1 (2nd April 2026)
-========================================
-
-**Bugfixes and Compatibility**
-
-* Fix EU27 benchmark aggregation for non-price tables (https://github.com/open-energy-transition/open-tyndp/pull/600).
-
-**Documentation**
-
-* Update citations to version-agnostic DOIs (https://github.com/open-energy-transition/open-tyndp/pull/602).
-
-
-Open-TYNDP v0.6 (1st April 2026)
-========================================
-
-**Features**
-
-* Implement rolling horizon optimisation with marginal storage values (water values) for seasonal storage components, maintaining operation of long-term stores close to perfect foresight optimization (https://github.com/open-energy-transition/open-tyndp/pull/441).
-
-* Add SMR (grey hydrogen) and SMR + Carbon Capture (blue hydrogen) capacities and assumptions from TYNDP 2024 hydrogen data and enable H2 load shedding with cost of 3000 EUR/MWh_H2 (https://github.com/open-energy-transition/open-tyndp/pull/490).
-
-* Add Other RES capacities and generation profiles from PEMMDB (https://github.com/open-energy-transition/open-tyndp/pull/521).
-
-* Add Other Non-RES capacities and price bands from PEMMDB (https://github.com/open-energy-transition/open-tyndp/pull/535).
-
-* Add H2 cavern and tank storages with existing energy and charge/discharge capacities (https://github.com/open-energy-transition/open-tyndp/pull/552). Optionally, for the DE/GA scenarios, expansion limits are added for these capacities for the expendable cavern storages.
-
-* Add PEMMDB common data assumptions from ERAA 2025 for power plant type specific efficiencies and VOM (https://github.com/open-energy-transition/open-tyndp/pull/541).
-
-* Add Battery Store capacities from PEMMDB (https://github.com/open-energy-transition/open-tyndp/pull/253/).
-
-* Add the 2035 hydrogen reference grid for NT 2040 using the Grid Investment Dataset (https://github.com/open-energy-transition/open-tyndp/pull/537).
-
-* Collect results of multi weather year CBAs and calculate weighted average KPIs and plot them (https://github.com/open-energy-transition/open-tyndp/pull/529).
-
-* Add an option to use the H2 demand from the Market Model Outputs (``sector:h2_demand_patch_with_mm``, enabled by default) (https://github.com/open-energy-transition/open-tyndp/pull/531). This option overwrites the default H2 demand from the Demand Profiles of the TYNDP 2024 Scenarios. It is now also possible to compare against Market Model Outputs in the benchmarking framework.
-
-* Improve hydro modelling assumptions used for Run-of-River (ROR), pondage and reservoir (https://github.com/open-energy-transition/open-tyndp/pull/567).
-
-* Improve biomass and biogas assumptions: subtract Other-RES biomass demand from solid biomass FED, update biomass-to-liquid efficiencies with the Supply Tool values, and align Other-RES and non-upgraded biogas with FED benchmarks (https://github.com/open-energy-transition/open-tyndp/pull/570).
-
-* Add option to model carrier-specific load shedding with associated shedding costs (https://github.com/open-energy-transition/open-tyndp/pull/494).
-
-* Add option to model carrier-specific load sinks with associated costs (https://github.com/open-energy-transition/open-tyndp/pull/505).
-
-* Add preprocessing of Market Model benchmark data (prices, crossborder flows, supply, capacity) on country level (https://github.com/open-energy-transition/open-tyndp/pull/467).
-
-* Extend benchmarking to support spatial resolution at bus and country level (https://github.com/open-energy-transition/open-tyndp/pull/543), configured via ``benchmarking.spatial.by_bus`` and ``benchmarking.spatial.by_country``.
-
-* Add electricity and hydrogen price benchmarking tables to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/574).
-
-**Changes**
-
-* Add option to run CBA using pre-solved SB networks from Zenodo, bypassing the SB workflow which speeds up execution (https://github.com/open-energy-transition/open-tyndp/pull/478). This can be enabled by setting `cba:cba_scenario_input:use_presolved` to `true` in the configuration file. **Note:** Pre-solved networks use default open-tyndp settings. If your config differs from defaults, SB and CBA assumptions may not align.
-
-* Populate link attributes for new links in CBA (https://github.com/open-energy-transition/open-tyndp/pull/522).
-
-* Implement option to remove noisy costs from CBA indicators calculations (https://github.com/open-energy-transition/open-tyndp/pull/523).
-
-* Add an option to apply the CBA fixes of the electrical reference network to the SB network as well (enabled by default) (https://github.com/open-energy-transition/open-tyndp/pull/527).
-
-* Add an option to set negative capacities of links from TOOT removal to zero instead of removing them (https://github.com/open-energy-transition/open-tyndp/pull/542).
-
-* Rename OCGT as slack generator for benchmarking (https://github.com/open-energy-transition/open-tyndp/pull/573).
-
-* Connect isolated offshore wind farms to the grid using a copperplate assumption for NT scenario (https://github.com/open-energy-transition/open-tyndp/pull/568).
-
-* Remove non-extendable TYNDP assets with zero capacity from network to reduce network size (https://github.com/open-energy-transition/open-tyndp/pull/583).
-
-**Bugfixes and Compatibility**
-
-* Add fallback to use 2040 networks/data when planning horizon selected in CBA is not 2030 or 2040 (https://github.com/open-energy-transition/open-tyndp/pull/520).
-
-* Fix GH workflow to attach windows installer to release (https://github.com/open-energy-transition/open-tyndp/pull/501).
-
-* Fix inconsistency in the naming of CBA indicators benchmark plots (https://github.com/open-energy-transition/open-tyndp/pull/509).
-
-* Fix topology issue affecting the hydrogen interactive maps (https://github.com/open-energy-transition/open-tyndp/pull/533).
-
-* Fix for myopic handling of cumulative capacities of renewable assets (https://github.com/open-energy-transition/open-tyndp/pull/564).
-
-* Fix NaNs that are introduced in B1 indicator calculation when using `cba.remove_noisy_costs` (https://github.com/open-energy-transition/open-tyndp/pull/578).
-
-* Remove outdated config overwrites for electrolysis efficiency to use planning year dependent ``custom_cost.csv`` values (https://github.com/open-energy-transition/open-tyndp/pull/582).
-
-* Fix incorrect country assignment for the ``BEIOH01`` offshore hub and add an explicit country mapping (https://github.com/open-energy-transition/open-tyndp/pull/591).
-
-**Documentation**
-
-* Add dedicated documentation page for the CBA rolling horizon dispatch pipeline, covering all preparation stages (network simplification, reference network, MSV extraction, rolling horizon preparation, project preparation, solve, indicators), configuration reference, and key design assumptions (https://github.com/open-energy-transition/open-tyndp/pull/572).
-
-* Add description of CBA config settings and how to run single vs collection (climate years) scenarios (https://github.com/open-energy-transition/open-tyndp/pull/584).
-
-* Add FAQ for Windows usage and corrupt environments (https://github.com/open-energy-transition/open-tyndp/pull/549).
-
-**Developers Note**
-
-* Refactor the ``validation`` folder within ``benchmarks/tyndp-2024`` to ensure consistency in naming conventions (https://github.com/open-energy-transition/open-tyndp/pull/550).
-
-Open-TYNDP v0.5.1 (18th February 2026)
-========================================
-
-**Features**
-
-* Sign Windows installers using Azure Artifact Signing (https://github.com/open-energy-transition/open-tyndp/pull/471).
-
-**Changes**
-
-* Refactor the temporal aggregation of a sector-coupled model as a separate rule (https://github.com/open-energy-transition/open-tyndp/pull/469). It renames previous `temporal_aggregation` as `build_snapshot_weightings` and introduces a new rule `temporal_aggregation` after `prepare_sector_network` that effectively applies the aggregation.
-
-* Harmonize renewable profiles across all assets regardless of build year (https://github.com/open-energy-transition/open-tyndp/pull/473). When `existing_capacities:uniform_renewable_profiles` is enabled, brownfield generators receive the current planning horizon's profiles instead of their vintage profiles.
-
-**Bugfixes and Compatibility**
-
-* Fix Windows uninstaller launched from installer to report failure on success (https://github.com/open-energy-transition/open-tyndp/pull/472).
-
-* Fix for myopic pathway optimization using the TYNDP H2 reference grid to account for cumulative capacities between planning horizons and add back CH-IT H2 pipeline connections (https://github.com/open-energy-transition/open-tyndp/pull/475).
-
-* Fix for GB connections in 2035 reference grid based on the Grid Investment Dataset (https://github.com/open-energy-transition/open-tyndp/pull/489).
-
-* Allow specifying the build_year of investment candidates to be added as new links to the 2040 reference grid via the config file and add both 2030 and 2035 projects to 2040 reference grid (https://github.com/open-energy-transition/open-tyndp/pull/496).
-
-* Use conda-forge dependency for PyPSA-Explorer package instead of pypi (https://github.com/open-energy-transition/open-tyndp/pull/491).
-
-**Documentation**
-
-* Update benchmarking indicators and figures to v0.5 (https://github.com/open-energy-transition/open-tyndp/pull/465).
-
-* Update the Citation for improved reference of original work and add Zenodo archive (https://github.com/open-energy-transition/open-tyndp/pull/459).
-
-**Developers Note**
-
-* Verify checksums of data packages downloaded through GCP (https://github.com/open-energy-transition/open-tyndp/pull/486).
-
-* Pin grpcio<1.78 to silence warnings that are cluttering the log (https://github.com/open-energy-transition/open-tyndp/pull/498).
-
-
-Open-TYNDP v0.5 (10th February 2026)
-========================================
-
-**Features**
-
-* Add the PINT project network preparation for Cost-Benefit Analysis (CBA) and adjust workflow to single reference grid (https://github.com/open-energy-transition/open-tyndp/pull/353).
-
-* Add TYNDP hydro technologies and associated PEMMDB capacities and inflows (https://github.com/open-energy-transition/open-tyndp/pull/338). The following technologies are introduced: `hydro-ror`, `hydro-reservoir`, `hydro-pondage`, `hydro-phs` and `hydro-phs-pure`.
-
-* Scaled EV electricity demand and adjusted EV parameters to match TYNDP 2024 assumptions (EV charging efficiency, EV charging rate, capacity available for DSM, car efficiency) (https://github.com/open-energy-transition/open-tyndp/pull/409).
-
-* Add the 2035 reference grid for NT 2040 using the Grid Investment Dataset (https://github.com/open-energy-transition/open-tyndp/pull/340).
-
-* Introduce calculation of B2 indicator in the Cost-Benefit Analysis (CBA) based on changes in total system CO2 emissions (https://github.com/open-energy-transition/open-tyndp/pull/348).
-
-* Introduce calculation of B3 indicators in the Cost-Benefit Analysis (CBA) based on renewable energy integration (https://github.com/open-energy-transition/open-tyndp/pull/350).
-
-* Introduce calculation of B4 indicator in the Cost-Benefit Analysis (CBA) based on changes in non-CO2 emissions (https://github.com/open-energy-transition/open-tyndp/pull/398).
-
-* Set short-term storage to cyclic in CBA dispatch (https://github.com/open-energy-transition/open-tyndp/pull/385).
-
-* Add availability profiles for nuclear power plants (https://github.com/open-energy-transition/open-tyndp/pull/447). The profiles are derived from the Market Outputs files for the NT scenario. Generation time series are normalized to per-unit values and resampled weekly, retaining the maximum availability factor per week to account for maintenance schedules and forced outages.
-
-* Add PyPSA-Explorer to workflow (https://github.com/open-energy-transition/open-tyndp/pull/443). The explorer will launch automatically in a new browser tab.
-
-* Add automated plotting for CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/352).
-
-* Add benchmarking of CBA indicators against TYNDP 2024 reported values (https://github.com/open-energy-transition/open-tyndp/pull/405).
-
-* Add Market Model outputs to the benchmarking framework (https://github.com/open-energy-transition/open-tyndp/pull/458). Additional minor fixes: SMR and SMR with CCS are now reported as a single group, and e-fuels are excluded from hydrogen demand since they are already accounted for in the exogenous demand.
-
-**Changes**
-
-* Improve general assumptions for NT scenario (https://github.com/open-energy-transition/open-tyndp/pull/430). This includes refining assumptions relating to efficiencies, fuel costs and extendable technologies.
-
-* Extend PyPSA-Eur validation schema for configuration files to Open-TYNDP specific configurations (see https://github.com/PyPSA/pypsa-eur/pull/1912) (https://github.com/open-energy-transition/open-tyndp/pull/419). Find a detailed explanation in the contributors documentation.
-
-* Assign CBA method assignment of projects before creation of project network, using data from CBA Implementation Guide (https://github.com/open-energy-transition/open-tyndp/pull/426).
-
-* Fix project capacities in CBA reference network (https://github.com/open-energy-transition/open-tyndp/pull/450).
-
-* Add preprocessing of Market Model benchmark data (https://github.com/open-energy-transition/open-tyndp/pull/372). All relevant Market Model output data is mapped to the naming convention used in the benchmarking plots.
-
-* Enable ``io_api`` direct mode for CBA rolling horizon to improve performance (https://github.com/open-energy-transition/open-tyndp/pull/402).
-
-**Bugfixes and Compatibility**
-
-* Add virtual TYNDP nodes for IT and LU to `clusted_pop_layout` to enable consistent use of its index when selecting modelled electricity nodes (https://github.com/open-energy-transition/open-tyndp/pull/360).
-
-* Enable unlimited capacity for primary fuel generators in CBA rolling horizon (https://github.com/open-energy-transition/open-tyndp/pull/408).
-
-* Fix processing of H2 demand profiles and PEMMDB profiles for compatibility with the climate year being a leap year like 2008 (https://github.com/open-energy-transition/open-tyndp/pull/414).
-
-* Fix to allow for bidirectional electricity and hydrogen interconnections between offshore hubs (https://github.com/open-energy-transition/open-tyndp/pull/445). To shore connections remain unidirectional as defined in the inputs.
-
-* Improve power generation benchmarking for renewables (https://github.com/open-energy-transition/open-tyndp/pull/457). Reported values now include curtailment.
-
-**Documentation**
-
-* Add documentation describing the CBA workflow and CBA indicators (https://github.com/open-energy-transition/open-tyndp/pull/392).
-
-* Explain the Open TYNDP implementation of the scenario approach (https://github.com/open-energy-transition/open-tyndp/pull/449).
-
-* Add FAQ entry for PyPSA v1 compatibility issue (https://github.com/open-energy-transition/open-tyndp/pull/381).
-
-**Developers Note**
-
-* Add scenario column to the `custom_costs.csv` file to allow for shared adjustments across scenarios (https://github.com/open-energy-transition/open-tyndp/pull/361).
-
-* Align the data structure of the TYNDP archives with that of upstream (https://github.com/open-energy-transition/open-tyndp/pull/451). These changes ensure that all the data is retrieved in an identical structure to the primary source, and as individual compressed archives.
-
-* Reformat CBA indicators output CSV to long format and to include units (https://github.com/open-energy-transition/open-tyndp/pull/401).
-
-
-Open-TYNDP v0.4.2 (23rd January 2026)
-========================================
-
-
-**Features**
-
-* Add automated Windows installer for easy setup on Windows systems (https://github.com/open-energy-transition/open-tyndp/pull/333). The installer bundles pixi, the repository, and sets up the conda environment automatically. Installer executables are automatically built and attached to GitHub releases. See ``utils/windows-installer/`` for details.
-
-* Integrate Open-TYNDP specific data into the data versioning system introduced upstream (see https://github.com/PyPSA/pypsa-eur/pull/1675) (https://github.com/open-energy-transition/open-tyndp/pull/363). Consequently, the rule `retrieve_additional_tyndp_data` is deprecated.
-
-**Bugfixes and Compatibility**
-
-* Fix Windows compatibility issues and make other minor improvements (https://github.com/open-energy-transition/open-tyndp/pull/357).
-
-* Correct handling of electrolyzer capacities between optimization years (https://github.com/open-energy-transition/open-tyndp/pull/370).
-
-**Documentation**
-
-* Add innovation roadmap comparison, mapping existing or new developments in PyPSA-Eur and Open TYNDP to desired features for TYNDP 2026 (https://github.com/open-energy-transition/open-tyndp/pull/341)
-
-
-Open-TYNDP v0.4.1 (23rd December 2025)
-========================================
-
-
-**Bugfixes and Compatibility**
-
-* Retrieve countries_centroids.geojson using brotli encoding (https://github.com/open-energy-transition/open-tyndp/pull/334).
-
-* Ensure backward compatibility for custom offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/339).
-
-
-Open-TYNDP v0.4 (16th December 2025)
-========================================
-
-
-**Features**
-
-* Introduce a workflow structure for performing Cost-Benefit Analysis (CBA) using both TOOT (Take One Out at a Time) and PINT (Put In at a Time) methodologies for TYNDP transmission and storage projects on top of the SB results (https://github.com/open-energy-transition/open-tyndp/pull/149). The workflow structure has rules for retrieving CBA project data, processing transmission and storage projects from Excel exports, creating reference networks, building individual project networks, solving network optimizations, and computing CBA indicators.
-
-* Add the TOOT reference network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/199).
-
-* Add the TOOT project network preparation for CBA (https://github.com/open-energy-transition/open-tyndp/pull/211).
-
-* Add weekly rolling horizon optimization for CBA networks (https://github.com/open-energy-transition/open-tyndp/pull/217). Implements ``solve_cba_network`` rule for optimizing dispatch of TOOT and PINT reference and project networks.
-
-* Introduce calculation of B1 indicator in the Cost-Benefit Analysis (CBA) based on changes in total system costs (https://github.com/open-energy-transition/open-tyndp/pull/186).
-
-* Add TYNDP conventional thermal generation using PEMMDB capacities, must-runs and availabilities (https://github.com/open-energy-transition/open-tyndp/pull/195).
-
-* Add TYNDP electrolyzer capacities for the National Trends scenario using PEMMDB data (https://github.com/open-energy-transition/open-tyndp/pull/248).
-
-* Add the TYNDP hydrogen demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/169, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/230).
-
-* Add the TYNDP gas demand as an exogenously set demand (process data https://github.com/open-energy-transition/open-tyndp/pull/208, attach demand to the network https://github.com/open-energy-transition/open-tyndp/pull/220). Introduces ``sector:gas_demand_exogenously`` configuration to decide whether to attach this demand to the network. Introduces ``benchmarking:remove_last_day`` to optionally remove the last day of the year, ensuring the benchmarked values have exactly 52 weeks. Removes ``sector:use_industry_load`` configuration as industry is now integrated in the exogenous demand.
-
-* Add CO2 emission prices configurable per planning horizon for sector-coupled models (https://github.com/open-energy-transition/open-tyndp/pull/198). The CO2 price is added as a marginal cost on the ``co2 atmosphere`` Store.
-
-* Improve the overall benchmarking framework by correcting bus mappings for methane supply, biomass supply, and BtL for FED; grouping H2 pipeline imports together (low carbon and renewables); using a new H2 demand figure (Fig. 10 instead of 54) with correct grouping of exogenous demands; reducing EU-wide statistics to EU27 where possible; and improving biomass supply benchmarking with a new figure (Fig. 22 instead of 59) (https://github.com/open-energy-transition/open-tyndp/pull/281).
-
-**Breaking Changes**
-
-* Move all SB scripts to `scripts/sb/` and rules to `rules/sb.smk`, and renamed CBA rules file from `rules/cba/main.smk` to `rules/cba.smk` for consistency (https://github.com/open-energy-transition/open-tyndp/pull/278).
-
-* Rename `clean_tyndp_demand` to `clean_tyndp_electricity_demand` for clarity (https://github.com/open-energy-transition/open-tyndp/pull/272).
-
-**Changes**
-
-* Improve electricity demand processing and benchmarking to achieve an exact match between the benchmarked and reference values (https://github.com/open-energy-transition/open-tyndp/pull/192).
-
-* Adjust solid biomass and biogas potentials to match TYNDP assumptions across all planning horizons, removed unsustainable biomass and biogas shares from potential, and added configuration options to force biomass and biogas potentials (https://github.com/open-energy-transition/open-tyndp/pull/236).
-
-* Adjust the benchmarking configurations to report an approximation of imports for fossil fuels (https://github.com/open-energy-transition/open-tyndp/pull/237) and ensure that the final energy demand for biofuels is reflected correctly (https://github.com/open-energy-transition/open-tyndp/pull/239).
-
-* Add an intermediate scaling factor for hydro plants to match PEMMDB capacities (https://github.com/open-energy-transition/open-tyndp/pull/238, https://github.com/open-energy-transition/open-tyndp/pull/240).
-
-* Adjust the oil land transport demand in order to adjust the liquids demand (https://github.com/open-energy-transition/open-tyndp/pull/250).
-
-* Add the TYNDP CCS assumptions as sequestration potentials (https://github.com/open-energy-transition/open-tyndp/pull/244).
-
-**Bugfixes and Compatibility**
-
-* Fix benchmarking workflow to account for not spatially resolved methane demand and more missing data (https://github.com/open-energy-transition/open-tyndp/pull/205).
-
-* Fix `make tyndp` with the introduction of collect rules for `rulegraph` and `filegraph` (https://github.com/open-energy-transition/open-tyndp/pull/214).
-
-* Correctly attach planning year dependent renewable profiles from PECD to solar and onwind generators (https://github.com/open-energy-transition/open-tyndp/pull/265).
-
-* Correctly attach solar-pv-rooftop generators to low-voltage buses when modelling an electricity distribution grid representation (https://github.com/open-energy-transition/open-tyndp/pull/273).
-
-* Address infeasibilities for DE and GA by adjusting the trajectory of DE00 for the larger existing capacity and by fixing a broadcasting bug in the offshore constraints (https://github.com/open-energy-transition/open-tyndp/pull/283).
-
-* Make sector and TYNDP dependent inputs optional in `prepare_sector_network` to avoid triggering unnecessary prerequisite rules and disable `solar_thermal` (https://github.com/open-energy-transition/open-tyndp/pull/293).
-
-* Remove `wget` commands from `retrieve` rules to improve Windows compatibility (https://github.com/open-energy-transition/open-tyndp/pull/304).
-
-* Change the projection for maps to LambertAzimuthalEqualArea and PlateCaree to align with TYNDP 2024 reports (https://github.com/open-energy-transition/open-tyndp/pull/282).
-
-**Documentation**
-
-* Add a FAQ to the documentation (https://github.com/open-energy-transition/open-tyndp/pull/276).
-
-* Add more FAQ questions, set the default solver to HiGHS and fix the default temporal resolution to 52SEG (https://github.com/open-energy-transition/open-tyndp/pull/303).
-
-**Developers Note**
-
-* Ensure compatibility with PyPSA v1 (https://github.com/open-energy-transition/open-tyndp/pull/219).
-
-
-Open-TYNDP v0.3 (24th October 2025)
-========================================
-
-
-**Features**
-
-* Introduce a benchmarking framework that assesses Open-TYNDP model quality against published TYNDP 2024 data and Visualisation Platform data (https://github.com/open-energy-transition/open-tyndp/pull/73, https://github.com/open-energy-transition/open-tyndp/pull/117). This framework is fully integrated into the Open-TYNDP workflow, with benchmarking results included in the outputs. The methodology leverages a multi-criteria approach proposed by `Wen et al. (2022) <https://www.sciencedirect.com/science/article/pii/S0306261922011667>`__. The rules cover processing raw data from TYNDP 2024 Scenarios packages, extracting Open-TYNDP statistics, computing accuracy metrics, and creating comparison figures. The data are benchmarked against the published TYNDP 2024 data, with figures presenting both sources for comparison.
-
-* Add complete processing and preparation of PECD v3.1 renewable profiles for all renewable technologies: Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind, and Solar CSP (https://github.com/open-energy-transition/open-tyndp/pull/71). These profiles are used in TYNDP 2024 and replace the default ERA5- and SARAH3-based profiles processed with Atlite. The data processing infrastructure for renewable profile creation is complete, but full integration into the model workflow will follow in a subsequent PRs (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139).
-
-* Introduce processing of PEMMDB v2.5 hydro inflows data for different hydro technologies: Run of River, Pondage, Reservoir, Pumped Storage Open Loop, and Pumped Storage Closed Loop (https://github.com/open-energy-transition/open-tyndp/pull/77). The data processing infrastructure for hydro inflow profiles is complete, but full integration into the model workflow will follow in a subsequent release.
-
-* Introduce processing and preparation of PEMMDB v2.5 capacity data, including must-run and availability constraints, and expansion trajectories for conventional and renewable power generation, electrolysers, batteries, and Demand Side Response (DSR) (https://github.com/open-energy-transition/open-tyndp/pull/97). The data processing infrastructure for PEMMDB v2.5 is complete, but full integration into the model workflow will follow in a subsequent release.
-
-* Integrate solar PV and onshore wind technologies using PEMMDB v2.5 capacity data and PECD v3.1 renewable profiles in the model (https://github.com/open-energy-transition/open-tyndp/pull/115, https://github.com/open-energy-transition/open-tyndp/pull/139). Offshore wind statistics are also improved to include hydrogen generator capacities (in ``MW_e``).
-
-**Changes**
-
-* Generalise the TYNDP data retrieval rule for improved flexibility (https://github.com/open-energy-transition/open-tyndp/pull/101). This rule is intended for removal once all required data has been integrated into the `Zenodo databundle <https://zenodo.org/records/14230568>`_.
-
-* Allow retrieval of PyPSA-Eur cutouts for additional climate years that are not available on Zenodo via direct retrieval from Google Cloud Platform (GCP) (https://github.com/open-energy-transition/open-tyndp/pull/109). Currently, this feature is available for climate year 2009.
-
-* Introduce PECD pre-built dataset to significantly reduce data retrieval requirements (https://github.com/open-energy-transition/open-tyndp/pull/123). Users can either retrieve pre-processed PECD data for climate years 1995, 2008, and 2009 from GCP storage, or build from raw data for any year between 1982 and 2019.
-
-**Bugfixes and Compatibility**
-
-* Fix bugs in PyPSA-Eur's nuclear implementation related to inconsistent modelling as both generators and links, missing country-specific `p_max_pu` profiles, and missing uranium generators (https://github.com/open-energy-transition/open-tyndp/pull/105). Additionally, reintroduce default hydro `renewable_carrier` until TYNDP-specific hydro technologies are fully integrated.
-
-**Developers Note**
-
-* Scripts now use absolute imports. When using ``mock_snakemake``, adding the working directory to the PYTHONPATH or in your IDE is required (https://github.com/open-energy-transition/open-tyndp/pull/138).
-
-
-PyPSA-Eur v2025.07.0 (11th July 2025, merged 24th July 2025)
-=====================================
-
-
-**Features**
-
-* Introduce the ability to use the bidding zones as administrative zones for the
-  clustering. This also introduces the ability to create a custom ``busmap``
-  from custom ``busshapes``. To use bidding zones as clustering mode, a ``bz``
-  mode has been introduced for ``administrative`` clustering. This feature is
-  compatible with the general NUTS clustering approach. Custom ``busshapes``
-  must be provided as
-  ``data/busshapes/base_s_{clusters}_{base_network}.geojson``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1578)
-
-* Added aquifer thermal energy storage (ATES) to district heating. Some
-  parameters (CAPEX, standing losses) might require tuning by the user.
-  Eligibility computation is simplified. Turned off by default.
-  (https://github.com/PyPSA/pypsa-eur/pull/1665)
-
-* Added supplemental heating of thermal energy storage (PTES). This can be
-  enabled by setting: ``sector: district_heating: ptes: supplemental_heating:
-  true``. To enable a boosting heat pump as the supplemental heating
-  technology, use: ``sector: district_heating: ptes: supplemental_heating:
-  booster_heat_pump: true``. (https://github.com/PyPSA/pypsa-eur/pull/1692)
-
-**Breaking Changes**
-
-* Consolidated gap-filling strategies options under a new configuration section
-  `load: fill_gaps`. (https://github.com/PyPSA/pypsa-eur/pull/1677)
-
-* Replaced pinned environment files with conda-lock generated lock files for
-  better dependency resolution and cross-platform reproducibility. Deprecated
-  old ``-pinned.yaml`` files with migration instructions. These files will not
-  be updated anymore and will be removed in a future release.
-  (https://github.com/PyPSA/pypsa-eur/pull/1660)
-
-**Changes**
-
-* Adjusted a series of default values in ``config.default.yaml``.
-
-* Non-sequestered high-value chemicals (e.g. plastic waste) is now allocated
-  based on the population instead of production. It can be either burned without
-  energetic utilization or, optionally, in CHPs.
-  (https://github.com/PyPSA/pypsa-eur/pull/1625)
-
-* Allow district heating potentials to be specified as a dictionary, with
-  country codes as keys for `district_heating: potential:`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1742)
-
-* Added configuration option for setting ``links: p_min_pu``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1637)
-
-* Use of ``agg_p_nom_limits`` now allows aggregating all ``solar`` electric
-  technologies. Offshore floating wind (``offwind-float``)  was added.
-  (https://github.com/PyPSA/pypsa-eur/pull/1725,
-  https://github.com/PyPSA/pypsa-eur/pull/1727)
-
-* The file ``config/config.yaml`` is now fully optional.
-  (https://github.com/PyPSA/pypsa-eur/pull/1745)
-
-* Small plotting improvements.
-  (https://github.com/PyPSA/pypsa-eur/pull/1694https://github.com/PyPSA/pypsa-eur/pull/1727)
-
-* The `plotting|map|color_geomap` was renamed to `plotting|map|geomap_colors` to align
-  with the new PyPSA API.
-
-**Bugfixes and Compatibility**
-
-* Select correct capital costs for floating offshore wind. Previously, the same
-  as for offshore wind were used. (https://github.com/PyPSA/pypsa-eur/pull/1701)
-
-* Efficiency correction for electrobiofuels.
-  (https://github.com/PyPSA/pypsa-eur/pull/1683)
-
-* Configuration settings for heat pump COP approximation are now correctly
-  used. (https://github.com/PyPSA/pypsa-eur/pull/1729)
-
-* In :mod:`add_existing_baseyear`, renewable carriers are only added if listed
-  in ``electricity: renewable_carriers:``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1717)
-
-* Ensure that distribution losses are only deducted from electricity demand when
-  distribution losses are modelled.
-  (https://github.com/PyPSA/pypsa-eur/pull/1668)
-
-* Sanitize columns in :mod:`add_brownfield`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1676)
-
-* Adjustments to upcoming PyPSA API changes.
-  (https://github.com/PyPSA/pypsa-eur/pull/1720,
-  https://github.com/PyPSA/pypsa-eur/pull/1750)
-
-* Ensure consistent use of wildcards in :mod:`build_renewable_profiles` for
-  ``run: shared_resources: policy: base``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1641)
-
-* Ensure solver logs are written to file.
-  (https://github.com/PyPSA/pypsa-eur/pull/1684)
-
-* DAG generation (`rulegraph` and `filegraph`) now correctly utilizes all
-  configuration sources (default, file-based, and command-line overrides),
-  resolving an issue where visualizations could misrepresent the actual workflow
-  execution plan. SVG output format has also been added for these graphs, and
-  error handling during graph generation has been enhanced.
-  (https://github.com/PyPSA/pypsa-eur/pull/1678)
-
-* Chore: Replace licensing information in ``.reuse/dep5`` with ``REUSE.toml`` to
-  be compliant with REUSE 3.2
-  (https://reuse.software/spec-3.2/#licensing-information).
-  (https://github.com/PyPSA/pypsa-eur/pull/1739)
-
-* Windows compatibility improvements.
-  (https://github.com/PyPSA/pypsa-eur/pull/1602,
-  https://github.com/PyPSA/pypsa-eur/pull/1702)
-
-**Developers Note**
-
-* Scripts now use absolute imports. When using ``mock_snakemake``, adding the
-  working directory to the PYTHONPATH or in your IDE is required.
-  (https://github.com/PyPSA/pypsa-eur/pull/1643)
-
-
-Open-TYNDP v0.2 (23rd July 2025)
-========================================
-
-**Features**
-
-* Introduce TYNDP offshore wind hubs via `sector:offshore_hubs_tyndp` configuration (https://github.com/open-energy-transition/open-tyndp/pull/54). This feature implements an offshore grid topology with both electric and hydrogen infrastructure, offshore electrolysers, and detailed wind farm characteristics. Three wind farm types are supported: AC-radial (ac-r), DC-radial (dc-r) and DC-hubs (dc-oh). Each is compatible with fixed-bottom (fb) or floating (fl) foundations. Wind farms connected to hubs can produce hydrogen directly through a dedicated P2G unit, while electricity can be supplied to the network or converted to hydrogen via offshore electrolysers connected to the hubs. The network includes existing capacities, with capacity expansion constrained by technological potential and evolving zone potential.
-
-* Add processing and preparation of TYNDP 2024 PECD v3.1 renewable profiles, replacing default ERA5-based profiles processed with Atlite (https://github.com/open-energy-transition/open-tyndp/pull/53). Initial implementation first addresses profiles for offshore technologies.
-
-* Add TYNDP hydrogen import potentials and corridors from outside of the modelled countries (https://github.com/open-energy-transition/open-tyndp/pull/36). Notably this includes pipelines and shipping imports from North Africa, Ukraine and Norway. Different import potentials are available for each of the planning years which are differentiated by wildcards.
-
-* Add the TYNDP electricity demand as an exogenously set demand (https://github.com/open-energy-transition/open-tyndp/pull/14). This requires the default PyPSA-Eur modelling to be explicitly disabled. The TYNDP electricity demand depends on the planning year, necessitating a different approach to the default PyPSA-Eur one. Wildcards are introduced and load is attached in `prepare_sector_network`.
-
-* Add a dedicated `Open-TYNDP documentation <https://open-tyndp.readthedocs.io/en/latest/>`__ website (https://github.com/open-energy-transition/open-tyndp/pull/80).
-
-**Changes**
-
-* Feat: update cutout retrieval of 1w cutout (https://github.com/open-energy-transition/open-tyndp/pull/41)
-
-* Refactor: TYNDP H2 reference grid in line with using planning_horizon for filtering the tyndp year (https://github.com/open-energy-transition/open-tyndp/pull/37)
-
-* Add a TYNDP specific CI (https://github.com/open-energy-transition/open-tyndp/pull/26)
-
-* Remove ch-ibit H2 pipeline capacity for 2030 H2 reference grid (https://github.com/open-energy-transition/open-tyndp/pull/27)
-
-**Bugfixes and Compatibility**
-
-* Fix: fix the docstring of build_tyndp_h2_network.py (https://github.com/open-energy-transition/open-tyndp/pull/40)
-
-* Refactor: rename `build_tyndp_h2_import_potentials` to `build_tyndp_h2_imports` (https://github.com/open-energy-transition/open-tyndp/pull/50)
-
-* Refactor: consolidate `tyndp_scenario` configurations into a single configuration entry (https://github.com/open-energy-transition/open-tyndp/pull/51)
-
-
-Open-TYNDP v0.1 (14th April 2025)
-========================================
-
-**Features**
-
-* Added option to use the TYNDP H2 topology including the TYNDP H2 reference grid,
-  H2 Z1 and Z2 setup, production, reconversion and storage technologies (https://github.com/open-energy-transition/open-tyndp/pull/17/).
-
-* Introduce a new base network using TYNDP 2024 data (https://github.com/open-energy-transition/open-tyndp/pull/18/).
-
-**Changes**
-
-* Add fictive hydrogen demand using industry (https://github.com/open-energy-transition/open-tyndp/pull/25/).
-
-* Refactoring of ``add_storage_and_grids`` in ``prepare_sector_network`` into multiple distinct functions
-  for easier readability and adjustability (https://github.com/open-energy-transition/open-tyndp/pull/20/).
-
-
-PyPSA-Eur v2025.04.0 (6th April 2025)
-========================================
-
-**Features**
-
-
-* Allowing **network clustering based on administrative boundaries** (i.e.,
-  NUTS0/country-level to NUTS3).  To make use of this setting, set ``clustering:
-  mode: administrative`` and ``scenario: clusters: ["adm"]``. Optionally,
-  include a dictionary of individual country codes and their target NUTS level
-  resolution (0 to 3). Note that non-NUTS countries 'BA', 'MD', 'UA', and 'XK'
-  can only be clustered to level 0 and 1.
-  (https://github.com/PyPSA/pypsa-eur/pull/1502,
-  https://github.com/PyPSA/pypsa-eur/pull/1580)
-
-  - Moved setting ``enable: custom_busmap`` to ``clustering: mode: custom_busmap``.
-
-* Added support for spanning **multiple consecutive, non-consecutive or
-  meteorological (July-June) weather years** in one optimisation model. The
-  annualised capital costs, energy limits and loads are multiplied by the number
-  of years. To calculate the total annualised system costs, divide the total
-  costs by the number of years. To include multiple years, configure the range
-  in ``snapshots:`` and provide the list of associated cutouts in ``atlite:
-  default_cutouts:``. (https://github.com/PyPSA/pypsa-eur/pull/1613)
-
-  - All cutout references in ``config.default.yaml`` can now be specified by a
-    list of cutouts which will be concatenated along the time dimension.
-
-  - All cutout references in ``config.default.yaml`` now default to ``atlite:
-    default_cutout:``.
-
-  - In :mod:`build_hydro_profile`, when subannual periods are used but full-year
-    cutouts are available, the hydro profile is now first calculated for the
-    full year(s) and then sliced to the subannual periods. This is to align
-    better with the normalization process that uses annual EIA statistics.
-
-  - In :mod:`time_aggregation`, the resampling will now be applied separately
-    for each year covered in the snapshots. This prevents snapshots that
-    overflow into the next year, which simplifies running non-contiguous
-    periods.
-
-  - The files ``data/era5-annual-{HDD,runoff}-per-country.csv`` are now daily
-    resolved and were moved into the data bundle
-    ``data/bundle/era5-{HDD,runoff}-per-country.csv``.
-
-* Support for multiple **resource classes for wind and solar** to use more
-  accurate renewable potentials and time series when the spatial resolution
-  is low (https://github.com/PyPSA/pypsa-eur/pull/1481):
-
-  - Splits renewable potentials and time series into a configurable number of
-    resource classes per carrier and clustered region. The binning is linear
-    based on the average capacity factors.
-
-  - With the setting ``renewables: onwind: resource_classes: 4``, each region
-    would have four onshore wind generators, each with different potential
-    (``p_nom_max``) and capacity factor (``p_max_pu``). The same applies to
-    solar PV and offshore wind.
-
-  - The default number of resource classes is kept at one per cluster.
-
-  - In :mod:`build_renewable_profiles`, a new dimension "bin" is added to the
-    output (``xarray.Dataset``). The resource classes are numbered from 0
-    (lowest) to N (highest).
-
-  - Additionally, a new ``.geojson`` file of clustered regions split by resource
-    classes is exported, which is is used in :mod:`add_electricity` and
-    :mod:`build_clustered_solar_rooftop_potentials` to assign existing wind and
-    solar capacities to the correct combination of bus and resource class.
-    Within a clustered region, the resource classes do not have to be
-    contiguous.
-
-* Added simplified representation of **renewable energy imports**
-  (https://github.com/PyPSA/pypsa-eur/pull/1583):
-
-  - Can be activated with ``sector: imports: enable: true``.
-
-  - Allows hydrogen, ammonia, methanol, gas and Fischer-Tropsch oil with
-    configurable prices (``sector: imports: prices:``).
-
-  - Methane imports use existing LNG terminal entry points, hydrogen imports use
-    existing pipeline entry points.
-
-  - Simplification: Import prices are uniform across all regions.
-
-  - Carbon content of imported fuels is handled like biomass.
-
-  - Total volume of imports can be limited with ``sector: imports: limit:``. The
-    limit includes synthetic and biomass imports (``sector:
-    solid_biomass_import:``), but not fossil fuel imports.
-
-* Improved **automated plotting** of results
-  (https://github.com/PyPSA/pypsa-eur/pull/1589,
-  https://github.com/PyPSA/pypsa-eur/pull/1590,
-  https://github.com/PyPSA/pypsa-eur/pull/1626):
-
-  - Moved plotting configuration from ``config/config.default.yaml`` to
-    ``config/plotting.default.yaml``. The plotting configuration is now separated
-    from the main configuration file.
-
-  - Added rule :mod:`plot_balance_maps` for plotting energy balance maps. The plots
-    are saved in ``results/maps/*`` and can be configured in
-    ``plotting.default.yaml`` under ``plotting: balance_maps``.
-
-  - Added new rule :mod:`plot_balance_timeseries` to plot energy balance time
-    series for the whole year at daily resolution and for each month at
-    model-native resolution.
-
-  - Added new rule :mod:`plot_heatmap_timeseries` for plotting configuration of
-    heatmap time series, including options for marginal prices, utilisation rates,
-    and state of charge.
-
-* Extended pre-built `weather data cutouts
-  <https://zenodo.org/records/14936211>`__. Cutouts are now available for the
-  years 1996, 2010, 2012, 2013, 2019, 2020 and 2023.
-  (https://github.com/PyPSA/pypsa-eur/pull/1559)
-
-* Added option to specify the cutout directory in the configuration file. This
-  allows to the user to specify the directory where the cutouts are stored. Use
-  it by setting ``atlite: cutout_directory:`` in the configuration file.
-  (https://github.com/PyPSA/pypsa-eur/pull/1515)
-
-- Implemented an energy-to-power ratio constraint for thermal energy storage
-  (TES), linking the storage capacity to the corresponding charger capacity.
-  Additionally, chargers and dischargers are now sized proportionally through a
-  unified constraint. (https://github.com/PyPSA/pypsa-eur/pull/1546)
-
-* Added option to calculate dynamic storage capacities for pit thermal energy
-  storage using the ``e_max_pu`` attribute. The dynamic capacities are
-  calculated in the new rule :mod:`build_tes_capacity_profiles`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1612)
-
-* Added a configuration to disable transmission efficiency for some carriers.
-  (https://github.com/PyPSA/pypsa-eur/pull/1631)
-
-* Added the options to overwrite investment, lifetime, FOM, VOM, efficiency and
-  fuel attributes from the configuration file under ``costs: overwrites:``. This
-  mimics the existing capital and marginal cost behaviour.
-  (https://github.com/PyPSA/pypsa-eur/pull/1532,
-  https://github.com/PyPSA/pypsa-eur/pull/1565)
-
-* Added rule :mod:`build_co2_sequestration_potentials`, which processes the raw
-  data from `CO2Stop
-  <https://setis.ec.europa.eu/european-co2-storage-database_en>`_. Integrated
-  from separate repository (https://github.com/ericzhou571/Co2Storage).
-  (https://github.com/PyPSA/pypsa-eur/pull/1606)
-
-* Added option to pass ``linopy.Model`` keyword arguments through
-  ``config.default.yaml``. (https://github.com/PyPSA/pypsa-eur/pull/1596)
-
-* Added option to create ``snakemake filegraph`` and ``snakemake rulegraph``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1574)
-
-**Changes**
-
-* Refactor of :mod:`make_summary`
-  (https://github.com/PyPSA/pypsa-eur/pull/1573):
-
-  - Computes summaries for only a single network at a time.
-
-  - Concatenation is outsourced to new rule :mod:`make_global_summary`.
-
-  - Rule no longer depends on network plots; use the ``all`` collection rule to
-    generate summaries and plots.
-
-  - Calculation of cumulative costs for myopic foresight networks was moved to
-    :mod:`make_cumulative_costs`.
-
-  - Rewrote functions in :mod:`make_summary` to use PyPSA statistics module
-    more.
-
-  - Inferral of component locations was made more robust. The revised function
-    uses ``n.buses.location`` rather than the index strings. Components inherit
-    the location of the bus they connect to with the highest spatial resolution.
-
-  - The file ``supply.csv`` was **removed**; the file ``price_statistics.csv``
-    was **removed and integrated** into ``metrics.csv``; the files
-    ``supply_energy.csv``, ``nodal_supply_energy.csv``, ``cfs.csv``,
-    ``nodal_cfs.csv`` were **renamed** to ``energy_balance.csv``,
-    ``nodal_energy_balance.csv``, ``capacity_factors.csv``,
-    ``nodal_capacity_factors.csv``.
-
-  - The order of the MultiIndex levels changed but are now consistently named
-    and documented; the index level "component" now uses capitalised component
-    names rather than lower case list names (e.g. "Generator" instead of
-    "generators").
-
-  - The plotting functions in :mod:`plot_summary` have been updated to reflect
-    the changes in the summary files.
-
-* Unified the functions ``load_costs`` in :mod:`add_electricity` and
-  ``prepare_costs`` in :mod:`prepare_sector_network` into a single function
-  ``load_costs`` in :mod:`add_electricity`. For sector-coupled networks,
-  annualised investment costs are now referred to as "capital_cost" instead of
-  "fixed". (https://github.com/PyPSA/pypsa-eur/pull/1566,
-  https://github.com/PyPSA/pypsa-eur/pull/1567)
-
-* In :mod:`prepare_sector_network`, split shipping and aviation sector from
-  ``add_industry()`` into separate function and configuration setting. To mirror
-  previous behaviour of setting ``sector: industry: true``, also set ``sector:
-  shipping: true`` and ``sector: aviation: true``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1607)
-
-* Replaced renewable capacity estimation from OPSD VRE data with an estimation
-  based on Global Energy Monitor (GEM) data. The corresponding setting was
-  renamed from ``from_opsd`` to ``from_gem``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1481)
-
-* Functionality reduction: The technology mapping from ``powerplantmatching``
-  now has to be a 1:1 rather than a 1:n mapping.
-  (https://github.com/PyPSA/pypsa-eur/pull/1481)
-
-* Geothermal heat potentials are now restricted to those in close proximity to
-  future district heating areas as projected by Manz et al. 2024.
-  (https://github.com/PyPSA/pypsa-eur/pull/1516)
-
-* Introduced the option to vent heat in all heating systems at given marginal
-  cost and added a small marginal cost for water tank charging to improve
-  numerics. Renamed config setting for marginal cost of home-battery charging to
-  ``marginal_cost_home_battery_storage``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1563)
-
-* Included the fuel name as part of the carrier attribute for CHP plants added
-  in :mod:`prepare_sector_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1622)
-
-* Updated EIA hydro-electricity statistics up to end of 2023.
-  (https://github.com/PyPSA/pypsa-eur/pull/1543)
-
-* Reduce pipeline entrypoints to country coverage. Exclude Russia and Belarus.
-  (https://github.com/PyPSA/pypsa-eur/pull/1582)
-
-* Rules of ``validate.smk`` have been removed to consolidate the volume of code
-  to maintain. (https://github.com/PyPSA/pypsa-eur/pull/1581)
-
-* Use consistent function scope and avoid use of global variables to make
-  functions in ``add_*``, ``prepare_*`` and ``solve_*`` modular and portable.
-  (https://github.com/PyPSA/pypsa-eur/pull/1537,
-  https://github.com/PyPSA/pypsa-eur/pull/1549)
-
-* Enable running ``mock_snakemake`` from a separate working directory.
-  (https://github.com/PyPSA/pypsa-eur/pull/1571)
-
-* Add customisable memory logging frequency for :mod:`solve_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1521)
-
-* The ``config/config.yaml`` will no longer be created when running snakemake. It will
-  still be used by the workflow if it exists, but ignored otherwise and is not required.
-  See :ref:`defaultconfig` for more information.
-  (https://github.com/PyPSA/pypsa-eur/pull/1649)
-
-**Bugfixes and Compatibility**
-
-* Support for Snakemake 9. This is the new minimum version.
-  (https://github.com/PyPSA/pypsa-eur/pull/1619)
-
-* Support newer HiGHS versions. (https://github.com/PyPSA/pypsa-eur/pull/1528)
-
-* Use ``pyscipopt`` from PyPI. (https://github.com/PyPSA/pypsa-eur/pull/1524)
-
-* Conda: Remove defaults channel from `conda`` setup and use strict channel
-  priority. (https://github.com/PyPSA/pypsa-eur/pull/1554)
-
-* Fail on solving status 'warning' because results are likely not valid.
-  (https://github.com/PyPSA/pypsa-eur/pull/1591)
-
-* Bugfix in :mod:`time_aggregation`. The resampling produces a contiguous date
-  range. In case the original index was not contiguous, all rows with zero
-  weight must be dropped (corresponding to time steps not included in the
-  original snapshots). (https://github.com/PyPSA/pypsa-eur/pull/1613)
-
-* Bugfix in :mod:`time_aggregation`. Avoid that aggregated snapshot indices land
-  on February 29th in leap years when ``enable: drop_leap_day: true``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1613)
-
-* Bugfix: Handled missing geothermal potential data for the United Kingdom if
-  geothermal is included for direct utilisation or as heat pump source. The
-  config parameter ``sector: district_heating: limited_heat_sources: geothermal:
-  ignore_missing_regions`` can be used to either terminate the workflow throwing
-  an error (default: ``true``) or assign 0 values to missing regions and
-  continue the workflow (``false``). (https://github.com/PyPSA/pypsa-eur/pull/1617)
-
-* Bugfix: Changed setting ``central_heat_vent`` (default: ``true``), because the
-  water tanks charger and discharger were used as heat vents.
-  (https://github.com/PyPSA/pypsa-eur/pull/1556)
-
-* Bugfix: Fix ``if`` clause in :mod:`prepare_sector_network` function
-  ``add_methanol()`` (https://github.com/PyPSA/pypsa-eur/pull/1632).
-
-* Bugfix: Fix matching of Swiss regions (CH) in unsustainable biomass potential
-  calculation. (https://github.com/PyPSA/pypsa-eur/pull/1585)
-
-* Bugfix: Fix nuclear ``p_max_pu`` time series for greenfield nuclear.
-  (https://github.com/PyPSA/pypsa-eur/pull/1519)
-
-* Bugfix: Ensure correct ``dtype`` for the "reversed" column of links.
-  (https://github.com/PyPSA/pypsa-eur/pull/1525)
-
-* Bugfix: Ignore keyboard interrupt in memory logging subprocess.
-  (https://github.com/PyPSA/pypsa-eur/pull/1555)
-
-* Bugfix: Change WDPA download rules to use shutil instead
-  of shell commands to properly function on Windows.
-  (https://github.com/PyPSA/pypsa-eur/pull/1575)
-
-* Bugfix: Added setting ``run: use_shadow_directory:`` (default: ``true``) which
-  sets the ``shadow`` parameter of the snakemake workflow. Configuring to
-  ``true`` sets snakemake ``shadow`` parameter to ``shalloow``, ``false`` to
-  `Ǹone``. Should be set to ``false`` for those cases, where snakemake has an
-  issue with finding missing input/output files in solving rules.
-  (https://github.com/PyPSA/pypsa-eur/pull/1535)
-
-
-PyPSA-Eur v2025.01.0 (24th January 2025)
-========================================
-
-.. note::
-  With this version, PyPSA-Eur switches to `CalVer <https://calver.org/>`__ versioning.
-
-**Features**
-
-* Introduce geothermal district heating, including direct utilisation and heat
-  pumps, using potentials from `Manz et al. 2024: Spatial analysis of renewable
-  and excess heat potentials for climate-neutral district heating in Europe
-  <https://www.sciencedirect.com/science/article/pii/S0960148124001769>`__.
-  (https://github.com/PyPSA/pypsa-eur/pull/1359)
-
-* Added option to reduce central heating forward temperatures by annual
-  percentage (see rule :mod:`build_central_heating_temperature_profiles`). This
-  makes COP profiles and heat pump efficiencies planning-horizon-dependent.
-  Myopic and perfect foresight modes were adjusted accordingly to update COPs of
-  existing heat pumps in preceding years to adjusted temperatures.
-  (https://github.com/PyPSA/pypsa-eur/pull/1290)
-
-* Allow CHPs to use different fuel sources such as gas, oil, coal, and methanol.
-  Note that the cost assumptions are based on a gas CHP (except for solid
-  biomass-fired CHP). (https://github.com/PyPSA/pypsa-eur/pull/1392,
-  https://github.com/PyPSA/pypsa-eur/pull/1414)
-
-* Add a rule to create a `filegraph` dag and rename `dag` rule as `rulegraph`. (https://github.com/PyPSA/pypsa-eur/pull/1574)
-
-**Breaking Changes**
-
-* Rearranged workflow to cluster the electricity network before calculating
-  renewable profiles and adding further electricity system components.
-  (https://github.com/PyPSA/pypsa-eur/pull/1201)
-
-  - Moved rules ``simplify_network`` and ``cluster_network`` before
-    ``add_electricity`` and ``build_renewable_profiles``.
-
-  - Split rule ``build_renewable_profiles`` into two separate rules,
-    ``determine_availability_matrix`` for land eligibility analysis and
-    ``build_renewable_profiles``, which now only computes the profiles and total
-    potentials from the pre-computed availability matrix.
-
-  - Removed variables ``weight``, ``underwater_fraction``, and ``potential``
-    from the output of ``build_renewable_profiles`` as it is no longer needed.
-
-  - HAC-clustering is now based on wind speeds and irradiation time series
-    rather than capacity factors of wind and solar power plants.
-
-  - Added new rule ``build_hac_features`` that aggregates cutout weather data to
-    base regions in preparation for ``cluster_network``.
-
-  - Removed ``{simpl}`` wildcard and all associated code of the ``m`` suffix of
-    the ``{cluster}`` wildcard. This means that the option to pre-cluster the
-    network in ``simplify_network`` was removed. It will be superseded by
-    clustering renewable profiles and potentials within clustered regions by
-    resource classes soon.
-
-  - Added new rule ``add_transmission_projects_and_dlr`` which adds the outputs
-    from ``build_line_rating`` and ``build_transmission_projects`` to the output
-    of ``base_network``.
-
-  - The rule ``add_extra_components`` was integrated into ``add_electricity``
-
-  - Added new rule ``build_electricity_demand_base`` to determine the load
-    distribution of the substations in the base network (which was previously
-    done in ``add_electricity``). This time series is used as weights for
-    kmeans-clustering in ``cluster_network`` and is later added to the network
-    in ``add_electricity`` in aggregated form.
-
-  - The weights of the kmeans clustering algorithm are now exclusively based on
-    the load distribution. Previously, they also included the distribution of
-    thermal capacity.
-
-  - Since the networks no longer start with the whole electricity system added
-    pre-clustering, the files have been renamed from ``elec...nc`` to
-    ``base...nc`` to identify them as derivatives of ``base.nc``.
-
-  - The scripts ``simplify_network.py`` and ``cluster_network.py`` were
-    simplified to become less nested and profited from the removed need to deal
-    with cost data.
-
-  - New configuration options to calculate connection costs of offshore wind
-    plants. Offshore connection costs are now calculated based on the underwater
-    distance to the shoreline plus a configurable ``landfall_length`` which
-    defaults to 10 km. Previously the distance to the region's centroid was
-    used, which is not practical when the regions are already aggregated.
-
-* Removed ``{ll}`` wildcard. This is now a configuration option ``electricity:
-  transmission_limit:``, defaulting to ``vopt``. All previous options of the
-  ``{ll}`` wildcard are also now available within the ``{opts}`` wildcard (e.g.
-  as ``-lv1.25-``). (https://github.com/PyPSA/pypsa-eur/pull/1472)
-
-* Breaking change: The location of several network files has changed to
-  distinguish more clearly between solved and unsolved networks. Unsolved
-  networks that were previously stored in ``results/{run}/prenetworks`` are now
-  placed in ``resources/{run}/networks``. Solved networks that were previously
-  stored in ``results/{run}/postnetworks`` are now stored in
-  ``results/{run}/networks``. Brownfield networks are identified by a
-  ``_brownfield`` suffix in their filename.
-
-* Replaced the store representation of biogenic carriers (solid biomass, biogas,
-  bioliquids, MSW) in :mod:`prepare_sector_network` with generators using
-  attributes ``e_sum_min`` and ``e_sum_max`` to enforce minimum usage and limit
-  maximum potential, respectively.
-  (https://github.com/PyPSA/pypsa-eur/pull/1373)
-
-* Aligned the configuration setting for the CO2 network with other similar
-  settings (changed from ``co2network`` to ``co2_network``).
-  (https://github.com/PyPSA/pypsa-eur/pull/1438)
-
-* Added options ``biosng_cc`` and ``biomass_to_liquid_cc`` to separate the base
-  technology from the option to capture carbon from it.
-  (https://github.com/PyPSA/pypsa-eur/pull/1298)
-
-**Changes**
-
-* The building process of the base network from OpenStreetMap was revised. The
-  code was rewritten to improve the speed, accuracy and to preserve the topology
-  including original substation locations, wherever possible. The latest
-  ``osm-prebuilt`` data is version v0.6 at https://zenodo.org/records/14144752.
-  (https://github.com/PyPSA/pypsa-eur/pull/1384,
-  https://github.com/PyPSA/pypsa-eur/pull/1387,
-  https://github.com/PyPSA/pypsa-eur/pull/1431)
-
-* The shapes for countries and administrative regions have been updated. The
-  workflow has been modified to use higher resolution and more harmonised shapes
-  (NUTS3 2021 01M data and OSM administration level 1 for non-NUTS3 countries,
-  such as BA, MD, UA, and XK). Data sources for population and GDP per capita
-  p.c. have been updated to `JRC ARDECO
-  <https://urban.jrc.ec.europa.eu/ardeco>`__, using values for 2019. The rule
-  ``build_gdp_pop_non_nuts3`` is now integrated into :mod:`build_shapes` and
-  extended to build regional values for all non-NUTS3 countries.
-  (https://github.com/PyPSA/pypsa-eur/pull/1479)
-
-* The default configuration for the emission reduction path in myopic pathway
-  planning mode has been changed to align more closely with policy targets
-  (``co2_budget:``). (https://github.com/PyPSA/pypsa-eur/pull/1399)
-
-* Consider the planning horizon for biomass potentials calculation. Previously,
-  the biomass potential year could be chosen independently of the current
-  planning horizon. (https://github.com/PyPSA/pypsa-eur/pull/1311)
-
-* Update locations and capacities of ammonia plants.
-  (https://github.com/PyPSA/pypsa-eur/pull/1471)
-
-* NEP transmission projects are updated to HTLS lines.
-  (https://github.com/PyPSA/pypsa-eur/pull/1348)
-
-* Added 98% imperfect capture rate of Allam cycle gas turbine.
-  (https://github.com/PyPSA/pypsa-eur/pull/1298)
-
-* Improved ``sanitize_carrier`` function by filling in colors of missing
-  carriers. (https://github.com/PyPSA/pypsa-eur/pull/1400)
-
-* In post-discretizing network elements, add a configuration option to allow a
-  fractional last unit size. (https://github.com/PyPSA/pypsa-eur/pull/1309)
-
-**Bugfixes and Compatibility**
-
-* The length factor on the transmission lines haversine length was applied
-  twice, once when calculating costs and once when clustering the network. Now
-  it is only applied when calculating costs.
-  (https://github.com/PyPSA/pypsa-eur/pull/1511)
-
-* Vehicle-to-grid dispatch capacity is now limited by the fraction of vehicles
-  participating in demand-side-management, halving the dispatch capacity under
-  the default demand-side management participation rate of 0.5.
-  (https://github.com/PyPSA/pypsa-eur/pull/1423)
-
-* Demand for ammonia was double-counted at current/near-term planning horizons
-  with ``sector: ammonia: true``. (https://github.com/PyPSA/pypsa-eur/pull/1312)
-
-* Duplicates found in :mod:`build_transmission_projects` are now correctly
-  removed from the network. (https://github.com/PyPSA/pypsa-eur/pull/1360)
-
-* Ensure ``s_max_pu`` are correctly set for transmission projects.
-  (https://github.com/PyPSA/pypsa-eur/pull/1323)
-
-* Correctly reduce gas pipeline retrofit potentials in myopic pathway planning
-  mode. (https://github.com/PyPSA/pypsa-eur/pull/1258)
-
-* The missing lifetime attribute was added to hydrogen steel tanks, which is
-  important for pathway planning. (https://github.com/PyPSA/pypsa-eur/pull/1510)
-
-* Ensure all links with capital costs have a lifetime. This is important for
-  pathway planning. (https://github.com/PyPSA/pypsa-eur/pull/1319)
-
-* Resolved a bug which occurred when multiple DC links are connected to the same
-  DC bus and the DC bus is connected to an AC bus via a converter. In this case,
-  the DC links were wrongly simplified, completely dropping the shared DC bus.
-  (https://github.com/PyPSA/pypsa-eur/pull/1381,
-  https://github.com/PyPSA/pypsa-eur/pull/1507)
-
-* Waste CHPs are now added only to buses with district heating. Previously they
-  were added to all regions. (https://github.com/PyPSA/pypsa-eur/pull/1407)
-
-* Fixed VOM, emissions and efficiencies of methanol-to-kerosene links.
-  (https://github.com/PyPSA/pypsa-eur/pull/1317,
-  https://github.com/PyPSA/pypsa-eur/pull/1320,
-  https://github.com/PyPSA/pypsa-eur/pull/1376)
-
-* Existing heating data in ``build_existing_heating_distribution`` and the
-  indexing of existing heat pumps for the COP correction in
-  :mod:`add_brownfield` have been adjusted so that myopic pathways work with the
-  geothermal district heating. (https://github.com/PyPSA/pypsa-eur/pull/1453)
-
-* Adjusted ``efficiency2`` (to atmosphere) for bioliquids-to-oil link in
-  :mod:`prepare_sector_network` to correctly offset the corresponding oil
-  emissions. (https://github.com/PyPSA/pypsa-eur/pull/1410)
-
-* Add ``{sector_opts}`` wildcard to :mod:`time_aggregation`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1307)
-
-* Resolved a problem where excluding certain countries from ``countries``
-  configuration led to clustering errors.
-  (https://github.com/PyPSA/pypsa-eur/pull/1308)
-
-* The environment ``envs/retrieve.yaml`` was removed. Retrieval rules now use
-  ``envs/environment.yaml``. (https://github.com/PyPSA/pypsa-eur/pull/1509)
-
-* Logging files are created more comprehensively.
-  (https://github.com/PyPSA/pypsa-eur/pull/1508,
-  https://github.com/PyPSA/pypsa-eur/pull/1421)
-
-* Link for monthly CO2 prices was fixed.
-  (https://github.com/PyPSA/pypsa-eur/pull/1485)
-
-* Current ``rasterio`` versions supported.
-  (https://github.com/PyPSA/pypsa-eur/pull/1480)
-
-* Compatibility with ``powerplantmatching<=0.6``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1490)
-
-* Compatibility with ``pypsa==0.32``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1316,
-  https://github.com/PyPSA/pypsa-eur/pull/1445)
-
-* Maximum ``snakemake`` version is currently 8.24.
-  (https://github.com/PyPSA/pypsa-eur/pull/1440)
-
-* Initial steps towards unit testing are taken.
-  (https://github.com/PyPSA/pypsa-eur/pull/1466,
-  https://github.com/PyPSA/pypsa-eur/pull/1438,
-  https://github.com/PyPSA/pypsa-eur/pull/1432)
-
-* The installation via ``make install`` now prioritizes ``mamba`` over ``conda``
-  for faster installation. Conda is still used as a fallback. The command ``make
-  install`` now also supports passing the name of the environment, e.g. ``make
-  install name=my-project``. (https://github.com/PyPSA/pypsa-eur/pull/1461)
-
-* Ruff is now used for linting and formatting. It is used within pre-commit, so
-  no changes are needed. But we recommend to set it up locally as well.
-  (https://github.com/PyPSA/pypsa-eur/pull/1474)
-
-* Updating all base shapes (country_shapes, europe_shape, nuts3_shapes, ...). The workflow has been modified to use higher resolution and more harmonised shapes (NUTS3 2021 01M data and OSM administration level 1 for non-NUTS3 countries, such as BA, MD, UA, and XK). Data sources for population and GDP p.c. have been updated to JRC ARDECO https://urban.jrc.ec.europa.eu/ardeco/ -- 2019 values are used. `build_gdp_pop_non_nuts3` (originally created to build regional GDP p.c. and population data for MD and UA) is now integrated into `build_shapes` and extended to build regional values for all non-NUTS3 countries using cutouts of the updated datasets `GDP_per_capita_PPP_1990_2015_v2.nc` and `ppp_2019_1km_Aggregated.tif`,
-
-PyPSA-Eur 0.13.0 (13th September 2024)
-======================================
-
-**Features**
-
-* Add new methanol-based technologies: methanol-to-power, methanol reforming,
-  methanol-to-kerosene, methanol-to-olefins/aromatics, biomass-to-methanol with
-  and without carbon capture. (https://github.com/PyPSA/pypsa-eur/pull/1207)
-
-* Add function ``modify_attribute`` to :mod:`prepare_sector_network` which allows to adjust any attribute of any
-  PyPSA component either by a multiplication with a factor or setting an
-  absolute value. These adjustments can also depend on the planning horizons and
-  are set in the config under ``adjustments``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1244)
-
-* Add version control to osm-prebuilt:
-  ``config["electricity"]["osm-prebuilt-version"]``. Defaults to latest Zenodo
-  release, i.e. v0.4, Config is only considered when selecting ``osm-prebuilt``
-  as ``base_network``. (https://github.com/PyPSA/pypsa-eur/pull/1293)
-
-**Changes**
-
-* Use JRC-IDEES thermal energy service instead of final energy demand for
-  buildings heating demand. Final energy includes losses in legacy equipment.
-  Efficiencies of existing heating capacities are lowered according to the
-  conversion of final energy to thermal energy service. For overnight scenarios
-  or future planning horizons this change leads to a reduction in heat supply
-  and, therefore, system cost. (https://github.com/PyPSA/pypsa-eur/pull/1255)
-
-* Updated district heating supply temperatures based on `Euroheat's DHC Market
-  Outlook
-  2024<https://api.euroheat.org/uploads/Market_Outlook_2024_beeecd62d4.pdf>`__
-  and `AGFW-Hauptbericht 2022
-  <https://www.agfw.de/securedl/sdl-eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3MjU2MjI2MTUsImV4cCI6MTcyNTcxMjYxNSwidXNlciI6MCwiZ3JvdXBzIjpbMCwtMV0sImZpbGUiOiJmaWxlYWRtaW4vdXNlcl91cGxvYWQvWmFobGVuX3VuZF9TdGF0aXN0aWtlbi9IYXVwdGJlcmljaHRfMjAyMi9BR0ZXX0hhdXB0YmVyaWNodF8yMDIyLnBkZiIsInBhZ2UiOjQzNn0.Bhma3PKg9uJnC57Ixi2p9STW5-II9VXPTDXS544M208/AGFW_Hauptbericht_2022.pdf>`__.
-  ``min_forward_temperature`` and ``return_temperature`` (not given by Euroheat) are
-  extrapolated based on German values. (https://github.com/PyPSA/pypsa-eur/pull/1264)
-
-* Refined implementation of unsustainable biomass.
-  (https://github.com/PyPSA/pypsa-eur/pull/1275,
-  https://github.com/PyPSA/pypsa-eur/pull/1271,
-  https://github.com/PyPSA/pypsa-eur/pull/1254,
-  https://github.com/PyPSA/pypsa-eur/pull/1266)
-
-* Biomass transport costs are now stored in the ``data`` folder. Extraction from
-  PDF file is skipped. (https://github.com/PyPSA/pypsa-eur/pull/1272)
-
-* Increased the resolution of NUTS3 and NUTS2 shapes from 1:60M to 1:3M. The
-  shapefiles are now directly retrieved with the ``retrieve_nuts_shapes`` rule.
-  (https://github.com/PyPSA/pypsa-eur/pull/1286)
-
-* Uses of Snakemake's ``storage()`` function are integrated into retrieval
-  rules. This simplifies the use of ``mock_snakemake`` and places downloaded
-  data more transparently into the ``data`` directory.
-  (https://github.com/PyPSA/pypsa-eur/pull/1274)
-
-* Updated data bundle to remove files which are now directly downloaded in the
-  rules. This reduces the size of the data bundle.
-  (https://github.com/PyPSA/pypsa-eur/pull/1291)
-
-* Update NEP transmission projects to include `Startnetz`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1263)
-
-* Auto-update ``envs/environment.fixed.yaml``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1281)
-
-**Bugfixes and Compatibility**
-
-* Updated osm-prebuilt network to version 0.4
-  (https://doi.org/10.5281/zenodo.13759222). Added Kosovo (XK) as dedicated
-  region. Fixed major 330 kV line in Moldova (MD)
-  (https://www.openstreetmap.org/way/33360284).
-  (https://github.com/PyPSA/pypsa-eur/pull/1293)
-
-* Made the overdimensioning factor for heating systems specific for
-  central/decentral heating, defaults to no overdimensionining for central
-  heating and no changes to decentral heating compared to previous version.
-  (https://github.com/PyPSA/pypsa-eur/pull/1259)
-
-* The carrier of stores was previously silently overwritten by their bus'
-  carrier when building global emission constraints.
-  (https://github.com/PyPSA/pypsa-eur/pull/1262)
-
-* The fossil oil generator was incorrectly dropped when ``sector:
-  oil_refining_emissions`` was greater than zero. (https://github.com/PyPSA/pypsa-eur/pull/1257)
-
-* Correctly account for the CO2 emissions of municipal solid waste.
-  (https://github.com/PyPSA/pypsa-eur/pull/1256)
-
-* Added a missing space in the component name of retrofitted gas boilers.
-  (https://github.com/PyPSA/pypsa-eur/pull/1289)
-
-* Global Energy Monitor datasets are temporarily mirrored on alternative
-  servers. (https://github.com/PyPSA/pypsa-eur/pull/1265)
-
-* Fixed plotting of hydrogen networks with myopic pathway optimisation.
-  (https://github.com/PyPSA/pypsa-eur/pull/1270)
-
-* Fixed internet connection check.
-  (https://github.com/PyPSA/pypsa-eur/pull/1280)
-
-**Documentation**
-
-* The sources of nearly all data files are now listed in the documentation.
-  (https://github.com/PyPSA/pypsa-eur/pull/1284)
-
-PyPSA-Eur 0.12.0 (30th August 2024)
-===================================
-
-**Data Updates and Extensions**
-
-* Switch to OpenStreetMap (OSM) data for modelling the high-voltage transmission
-  grid. The new OSM-based grid is is now the default. The previous ENTSO-E grid
-  data is now deprecated. It can still be used by setting ``electricity:
-  base_network: entsoegridkit``. The new default setting "osm-prebuilt"
-  downloads the latest prebuilt snapshots from Zenodo. The setting "osm-raw"
-  retrieves and cleans the raw OSM data and subsequently builds the network.
-  (https://github.com/PyPSA/pypsa-eur/pull/1079)
-
-* Update energy balances from JRC-IDEES-2015 to `JRC-IDEES-2021
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC137809>`__. The
-  reference year was changed from 2015 to 2019.
-  (https://github.com/PyPSA/pypsa-eur/pull/1167)
-
-* Updated pre-built `weather data cutouts
-  <https://zenodo.org/records/12791128>`__. These are now merged cutouts with
-  solar irradiation from the new SARAH-3 dataset while taking all other
-  variables from ERA5. Cutouts are now available for multiple years (2010, 2013,
-  2019, and 2023). The overall download size was cut in half.
-  (https://github.com/PyPSA/pypsa-eur/pull/1176)
-
-* Included data from the `Global Steel Plant Tracker
-  <https://globalenergymonitor.org/projects/global-steel-plant-tracker/>`__
-  provided by Global Energy Monitor. The data includes among other attributes
-  the locations, ages, operating status, relining dates, manufacturing process
-  and capacities of steel plants in Europe. This data is used as a spatial
-  distribution key for the steel production, which is now separated by process
-  type (EAF, DRI + EAF, integrated).
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
-
-* Added data on the locations and capacities of ammonia plants in Europe. This
-  data is used as a spatial distribution key for the ammonia demand. The data
-  manually collected with sources noted in ``data/ammonia_plants.csv``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
-
-* Added data on the locations and capacities of cement plants in Europe that are
-  not included in the Hotmaps industrial database. The data sourced from the
-  `USGS 2019 Minerals Yearbooks
-  <https://www.usgs.gov/centers/national-minerals-information-center/international-minerals-statistics-and-information>`__
-  of specific countries is used as a spatial distribution key for the cement
-  demand. The data is stored in ``data/cement-plants-noneu.csv``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
-
-* Added data on the locations and capacities of refineries in Europe that are
-  not included in the Hotmaps industrial database. The data is mostly sourced
-  from the `Wikipedia list of oil refineries
-  <https://en.wikipedia.org/wiki/List_of_oil_refineries>`__. The data is stored
-  in ``data/refineries-noneu.csv``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1241)
-
-* Retrieve share of urban population from `World Bank API
-  <https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS>`__. The data
-  originates from the United Nations Population Division. Previously, a file
-  ``data/urban_percent.csv`` with an undocumented source was used.
-  (https://github.com/PyPSA/pypsa-eur/pull/1248)
-
-* Updated Global Energy Monitor's Europe Gas Tracker to May 2024 version.
-  (https://github.com/PyPSA/pypsa-eur/pull/1235)
-
-* Updated country-specific Energy Availability Factors (EAFs) for nuclear power
-  plants based on `IAEA 2021-2023 reported country averages
-  <https://pris.iaea.org/PRIS/WorldStatistics/ThreeYrsEnergyAvailabilityFactor.aspx>`__.
-  (https://github.com/PyPSA/pypsa-eur/pull/1236)
-
-* Updated technology-data to v0.9.2, with added methanol and biomass
-  assumptions.
-
-* Updated EEZ shapes to v12. This data is now automatically retrieved and was
-  removed from the data bundle. (https://github.com/PyPSA/pypsa-eur/pull/1188,
-  https://github.com/PyPSA/pypsa-eur/pull/1210)
-
-* The country shapes from Naturalearth are now automatically retrieved and are
-  removed from the data bundle. (https://github.com/PyPSA/pypsa-eur/pull/1190)
-
-**New Features**
-
-* Improved biomass representation:
-
-  * Added unsustainable biomass potentials for solid, gaseous, and liquid biomass
-    based on current consumption levels from Eurostat energy balances. The
-    potentials can be phased-out and/or substituted by the phase-in of sustainable
-    biomass types using the config parameters ``biomass:
-    share_unsustainable_use_retained`` and ``biomass:
-    share_sustainable_potential_available``.
-    (https://github.com/PyPSA/pypsa-eur/pull/1139)
-
-  * Added energy penalty for BECC applications.
-    (https://github.com/PyPSA/pypsa-eur/pull/1130)
-
-  * Added option to enable the import of solid biomass.
-    (https://github.com/PyPSA/pypsa-eur/pull/1194)
-
-  * Added option to produce electrobiofuels from solid biomass and hydrogen. This
-    process combined BtL and Fischer-Tropsch to efficiently use the available
-    biogenic carbon. (https://github.com/PyPSA/pypsa-eur/pull/1193)
-
-  * Added option to split municipal solid waste from solid biomass.
-    (https://github.com/PyPSA/pypsa-eur/pull/1195,
-    https://github.com/PyPSA/pypsa-eur/pull/1134)
-
-  * Added option to produce hydrogen from solid biomass with or without carbon
-    capture. (https://github.com/PyPSA/pypsa-eur/pull/1213)
-
-* Improved district heating representation:
-
-  * Added option to use country-specific district heating forward and return
-    temperatures. Defaults to lower temperatures in Scandinavia.
-    (https://github.com/PyPSA/pypsa-eur/pull/1180)
-
-  * Made central heating supply temperatures dynamic based on an adaptation of a
-    reference curve from Pieper et al. (2019)
-    (https://www.sciencedirect.com/science/article/pii/S0360544219305857?via%3Dihub).
-    (https://github.com/PyPSA/pypsa-eur/pull/1206/)
-
-  * Changed heat pump COP approximation for central heating to be based on
-    `Jensen et al. (2018)
-    <https://backend.orbit.dtu.dk/ws/portalfiles/portal/151965635/MAIN_Final.pdf>`__
-    and a default forward temperature of 90C. This is more realistic for
-    district heating than the previously used approximation method.
-    (https://github.com/PyPSA/pypsa-eur/pull/1176)
-
-  * Added option for various power-to-X processes to specify their share of waste
-    heat that can be used in district heating. The default was changed from 100%
-    to 25%. (https://github.com/PyPSA/pypsa-eur/pull/1141)
-
-* Added option to specify emissions fuel processing (e.g. oil in petrochemical
-  refinieries) with setting ``industry: oil_refining_emissions:``.
-
-* Added Enhanced Geothermal Systems for generation of electricity and district heat.
-  Cost and available capacity assumptions based on `Aghahosseini et al. (2020)
-  <https://www.sciencedirect.com/science/article/pii/S0306261920312551>`__.
-  See configuration ``sector: enhanced_geothermal`` for details; by default switched off.
-
-* Represent Kosovo (XK) as separate country.
-  (https://github.com/PyPSA/pypsa-eur/pull/1249)
-
-* Add option to specify carbon sequestration potentials per investment period.
-  (https://github.com/PyPSA/pypsa-eur/pull/1228)
-
-* Add option to completely eliminate the use of fossil fuels.
-  (https://github.com/PyPSA/pypsa-eur/pull/1187)
-
-* Added more modular and flexible handling of planned transmission reinforcement
-  projects (e.g. TYNDP). See configuration settings ``transmission_projects:``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1085)
-
-* Added option to smooth wind turbine power curves with a Gaussian kernel density.
-  (https://github.com/PyPSA/pypsa-eur/pull/1209).
-
-* Added option ``solving: curtailment_mode``` which fixes the dispatch profiles
-  of generators with time-varying p_max_pu by setting ``p_min_pu = p_max_pu``
-  and adds an auxiliary curtailment generator with negative sign (to absorb
-  excess power) at every AC bus. This can speed up the solving process as the
-  curtailment decision is aggregated into a single generator per region.
-  (https://github.com/PyPSA/pypsa-eur/pull/1177)
-
-* Added capital costs to all liquid carbonaceous fuel stores.
-  (https://github.com/PyPSA/pypsa-eur/pull/1234)
-
-**Breaking Changes**
-
-* Due to memory issues, the feature ``n.shapes`` is temporarily disabled.
-  (https://github.com/PyPSA/pypsa-eur/pull/1238)
-
-* Renamed the carrier of batteries in BEVs from `battery storage` to `EV
-  battery` and the corresponding bus carrier from `Li ion` to `EV battery`. This
-  is to avoid confusion with stationary battery storage.
-  (https://github.com/PyPSA/pypsa-eur/pull/1116)
-
-**Changes**
-
-* Powerplants can now be assigned to all buses, not just substations.
-  (https://github.com/PyPSA/pypsa-eur/pull/1239)
-
-* Avoid adding existing gas pipelines repeatedly for different planning
-  horizons.
-  (https://github.com/PyPSA/pypsa-eur/pull/1162https://github.com/PyPSA/pypsa-eur/pull/1162)
-
-* Move custom busmaps to
-  ``data/busmaps/elec_s{simpl}_{clusters}_{base_network}.csv``. This allows for
-  different busmaps depending on the base network.
-  (https://github.com/PyPSA/pypsa-eur/pull/1231)
-
-* For countries not contained in the NUTS3-specific datasets (i.e. MD and UA),
-  the mapping of GDP per capita and population per bus region used to spatially
-  distribute electricity demand is now endogenised in a new rule
-  :mod:`build_gdp_ppp_non_nuts3`. The databundle has been updated accordingly.
-  (https://github.com/PyPSA/pypsa-eur/pull/1146)
-
-* Enable parallelism in :mod:`determine_availability_matrix_MD_UA.py` and remove
-  plots. This requires the use of temporary files.
-  (https://github.com/PyPSA/pypsa-eur/pull/1170)
-
-* In :mod:`base_network`, replace own voronoi polygon calculation function with
-  Geopandas `gdf.voronoi_polygons` method.
-  (https://github.com/PyPSA/pypsa-eur/pull/1172)
-
-* In simplifying polygons in :mod:`build_shapes` default to no tolerance.
-  (https://github.com/PyPSA/pypsa-eur/pull/1137)
-
-* Updated filtering in :mod:`determine_availability_matrix_MD_UA.py` to improve
-  speed. (https://github.com/PyPSA/pypsa-eur/pull/1146)
-
-* Removed unused data files and rules.
-  (https://github.com/PyPSA/pypsa-eur/pull/1246,
-  https://github.com/PyPSA/pypsa-eur/pull/1203)
-
-* The ``{scope}`` wildcard was removed, since its outputs were not used.
-  (https://github.com/PyPSA/pypsa-eur/pull/1171)
-
-* Unify how the oil bus is added.
-
-* Set ``p_nom = p_nom_min`` for generators with ``baseyear == grouping_year`` in
-  :mod:`add_existing_baseyear`. This has no effect on the optimization but helps
-  to correctly report already installed capacities using ``n.statistics()``.
-
-* Cutouts are no longer marked as ``protected()``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1220)
-
-**Bugfixes and Compatibility**
-
-* Bugfix in :mod:`simplify_network` for spatially resolving Corsica.
-  (https://github.com/PyPSA/pypsa-eur/pull/1215)
-
-* Bugfix for running without spatial resolution.
-  (https://github.com/PyPSA/pypsa-eur/pull/1183)
-
-* Bugfix: Impose minimum value of zero for district heating progress between
-  current and future market share in :mod:`build_district_heat_share`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1168)
-
-* Bugfix: Correctly read in threshold capacity below which to remove components
-  from previous planning horizons in :mod:`add_brownfield`.
-
-* Bugfix for passing function arguments in rule :mod:`solve_operations_network`.
-
-* Bugfix avoiding infinity values in the intermediate industry sector ratios.
-  (https://github.com/PyPSA/pypsa-eur/pull/1227)
-
-* Bugfix: Add floating wind to cost update function in
-  :mod:`prepare_sector_network`. (https://github.com/PyPSA/pypsa-eur/pull/1106)
-
-* Fixed PDF encoding in ``build_biomass_transport_costs``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1219)
-
-* Dropped ``pycountry`` dependency in favour of ``country_converter``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1188)
-
-* Use temporary mirror for broken link to Eurostat energy balances (April 2023).
-  (https://github.com/PyPSA/pypsa-eur/pull/1147)
-
-* Compatibility with geopandas 1.0+.
-  (https://github.com/PyPSA/pypsa-eur/pull/1136)
-
-* Compatibility with snakemake 8.14+.
-  (https://github.com/PyPSA/pypsa-eur/pull/1112)
-
-* Address various deprecations.
-
-
-* Allow running the sector model for isolated non-EU28 countries, by filling missing sectoral
-  data with defaults, average EU values or zeros, if not available.
-
-* Enable retaining existing conventional capacities added in the power only model for sector coupeled applications.
-
-PyPSA-Eur 0.11.0 (25th May 2024)
-=====================================
-
-**New Features**
-
-* Introduced scenario management to support the simultaneous execution of
-  multiple scenarios with a single ``snakemake`` call. A ``scenarios.yaml`` file
-  allows customizable scenario names with configuration overrides. To enable,
-  set ``run: scenarios: true`` and define the list of scenario names under
-  ``run: name:`` in the configuration file. The scenario file's top-level keys
-  must match the defined scenario names.
-  (https://github.com/PyPSA/pypsa-eur/pull/724,
-  https://github.com/PyPSA/pypsa-eur/pull/975,
-  https://github.com/PyPSA/pypsa-eur/pull/989,
-  https://github.com/PyPSA/pypsa-eur/pull/993,
-  https://github.com/PyPSA/pypsa-eur/pull/1011)
-
-  - A scenarios template file ``config/scenarios.template.yaml`` is included and
-    copied to ``config/scenarios.yaml`` on first use.
-  - The scenario file can be changed via ``run: scenarios: file:``.
-  - Activating scenario management with ``run: scenarios: enable: true``
-    introduces a new wildcard ``{run}``. Configuration settings may now depend
-    on this wildcard. A new ``config_provider()`` function is used in the
-    ``Snakefile`` and ``.smk`` files to handle wildcard values.
-  - Scenario files can be programmatically created using
-    ``config/create_scenarios.py``. This script can be run with ``snakemake -j1
-    create_scenarios``.
-  - The setting ``run: name: all`` will run all scenarios in
-    ``config/scenarios.yaml``. Otherwise, only the scenarios listed under ``run:
-    name:`` will run.
-  - The setting ``run: shared_resources:`` indicates whether resources should be
-    encapsulated by ``run: name:``. The special setting ``run: shared_resources:
-    base`` shares resources until ``add_electricity`` that do not contain
-    wildcards other than ``{"technology", "year", "scope"}``.
-  - Added new configuration options for all ``{opts}`` and ``{sector_opts}``
-    wildcard values to create a unique configuration file (``config.yaml``) per
-    PyPSA network file using ``update_config_from_wildcards()``. This function
-    updates the ``snakemake.config`` object with settings from wildcards.
-  - The cost data was moved from ``data/costs_{year}.csv`` to
-    ``resources/costs_{year}.csv``. The ``retrieve_cost_data`` rule now calls a
-    Python script.
-  - Time clustering settings moved to ``clustering: temporal:`` from
-    ``snapshots:``, simplifying scenario management.
-  - Collection rules have a new wildcard ``run=config["run"]["name"]`` to
-    collect outputs across scenarios.
-  - Scenarios can be encapsulated in a directory using ``run: prefix:``.
-  - The ``{sector_opts}`` wildcard is no longer used by default. All scenario
-    definitions are now in ``config.yaml``.
-  - **Warning:** Scenario management with myopic or perfect foresight pathway
-    optimization requires the first investment period to be shared across all
-    scenarios. The ``wildcard_constraints`` for the ``add_existing_baseyear``
-    rule do not accept wildcard-aware input functions.
-
-* Enhanced support for choosing different weather years.
-  (https://github.com/PyPSA/pypsa-eur/pull/204)
-
-  - Processed energy statistics from Eurostat (1990-2021) and IDEES (2000-2015)
-    are stored for all available years and filtered by the year in ``energy:
-    energy_totals_year:``.
-  - Added option to supplement electricity load data with synthetic time series
-    for years not in OPSD (from https://zenodo.org/records/10820928, ``load:
-    supplement_synthetic:``).
-  - Total annual heat demand for years not in Eurostat (1990-2021) or IDEES
-    (2000-2015) is scaled based on a regression between heating degree days and
-    heat demand for 2007-2021, assuming a similar building stock.
-  - Added option to scale annual hydro-electricity generation data for years not
-    in EIA (1980-2021) based on a regression between annual generation and total
-    runoff per country for 1980-2021 (``renewable: hydro:
-    eia_approximate_missing:``).
-  - Added option to normalize annual hydro generation data by the installed
-    capacity reported by EIA (1980-2021) to eliminate changes due to newly built
-    capacity (``renewable: hydro: eia_approximate_missing:
-    eia_correct_by_capacity:``).
-  - Added option to make hydro generation data independent of weather year
-    (``renewable: hydro: eia_approximate_missing: eia_norm_year:``).
-  - Added option to drop leap days (``enable: drop_leap_day:``).
-  - Added option to make electric load data independent of weather year (``load:
-    fixed_year:``).
-  - Include time series of Swiss passenger vehicles from the Swiss Federal
-    Statistical Office.
-  - Updated hydro-electricity generation and capacity data from EIA.
-  - The easiest way to use multiple weather years is with the new scenario
-    management. An example `create_scenarios.py` script is available in this
-    `Github gist
-    <https://gist.github.com/fneum/47b857862dd9148a22eca5a2e85caa9a>`__.
-
-* New renewable technologies:
-
-  - Solar PV with single-axis horizontal tracking (N-S axis), carrier:
-    ``solar-hsat``. (https://github.com/PyPSA/pypsa-eur/pull/1066)
-  - Floating offshore wind technology for water depths below 60m, carrier:
-    ``offwind-float``. (https://github.com/PyPSA/pypsa-eur/pull/773)
-
-* Added default values for power distribution losses, assuming uniform 3% losses
-  on distribution grid links. These are deducted from national load time series
-  to avoid double counting. Extensions for country-specific loss factors and
-  planning horizon developments are planned.
-
-* Added ``industry: HVC_environment_sequestration_fraction:`` to specify the
-  fraction of carbon in plastics that is permanently sequestered in landfills.
-  The default assumption is that all carbon in plastics is eventually released
-  to the atmosphere. (https://github.com/PyPSA/pypsa-eur/pull/1060)
-
-* Added options for building waste-to-energy plants with and without carbon
-  capture to consume non-recycled and non-sequestered plastics. Config settings:
-  ``industry: waste_to_energy:`` and ``industry: waste_to_energy_cc``. This
-  excludes municipal solid waste. (https://github.com/PyPSA/pypsa-eur/pull/1060)
-
-* Added option to post-discretize line and link capacities based on unit sizes
-  and rounding thresholds in the configuration under ``solving: options:
-  post_discretization:``. This is disabled by default.
-  (https://github.com/PyPSA/pypsa-eur/pull/1064)
-
-* Time aggregation for sector-coupled networks is now its own rule
-  :mod:`time_aggregation`. Time aggregation is constant over planning horizons
-  of the same network when using time step segmentation.
-  (https://github.com/PyPSA/pypsa-eur/pull/1065,
-  https://github.com/PyPSA/pypsa-eur/pull/1075)
-
-* Added config ``run: shared_resources: exclude:`` to specify files excluded
-  from shared resources with ``run: shared_resources: base``. The function
-  ``_helpers/get_run_path()`` now takes an additional keyword argument
-  ``exclude_from_shared`` with a list of files that should not be shared.
-  (https://github.com/PyPSA/pypsa-eur/pull/1050)
-
-* Added existing biomass boilers in :mod:`add_existing_baseyear`.
-  (https://github.com/PyPSA/pypsa-eur/pull/951)
-
-* Added new HVDC transmission projects from `TYNDP 2024 draft projects
-  <https://tyndp.entsoe.eu/news/176-pan-european-electricity-transmission-projects-and-33-storage-projects-will-be-assessed-in-tyndp-2024>`__.
-  (https://github.com/PyPSA/pypsa-eur/pull/982)
-
-* Linearly interpolated missing investment periods in year-dependent
-  configuration options. (https://github.com/PyPSA/pypsa-eur/pull/943)
-
-* Added shapes to the ``netCDF`` files for different stages of the network
-  object in `base_network`, `simplify_network`, and `cluster_network`. The
-  `build_bus_regions` rule is now integrated into the `base_network` rule.
-  (https://github.com/PyPSA/pypsa-eur/pull/1013,
-  https://github.com/PyPSA/pypsa-eur/pull/1051)
-
-* Added config ``land_transport_demand_factor`` to model growth in land
-  transport demand for different time horizons.
-
-* Allowed dictionary for ``aviation_demand_factor`` to specify changes in
-  aviation demand by investment period.
-
-* Allowed more solvers in clustering (Xpress, COPT, Gurobi, CPLEX, SCIP, MOSEK).
-  (https://github.com/PyPSA/pypsa-eur/pull/949)
-
-* Added option to download cost data from custom fork of ``technology-data``.
-  (https://github.com/PyPSA/pypsa-eur/pull/970)
-
-* Added ``nodal_supply_energy`` to :mod:`make_summary`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1046)
-
-**Breaking Changes**
-
-* Upgraded to Snakemake v8.5+. This version is the new minimum requirement. To
-  upgrade an existing environment, run ``conda install -c bioconda
-  snakemake-minimal">=8.5"`` and ``pip install snakemake-storage-plugin-http``.
-  (https://github.com/PyPSA/pypsa-eur/pull/825)
-
-* Removed exogenously set share of rooftop PV (``costs: rooftop_share:``).
-  Rooftop and utility-scale PV are now separate technologies with endogenous
-  shares.
-
-* Removed rule ``copy_config``. Instead, a config file is created for each
-  network output of the ``solve_*`` rules, with the same content as ``n.meta``.
-  (https://github.com/PyPSA/pypsa-eur/pull/965)
-
-* Moved switch ``run: shared_resources:`` to ``run: shared_resources: policy:``.
-
-**Changes**
-
-* Updated, merged, and reduced data bundle:
-  (https://github.com/PyPSA/pypsa-eur/pull/1020,
-  https://github.com/PyPSA/pypsa-eur/pull/1027)
-
-  - Merged electricity-only and sector-coupled data bundles into one bundle.
-    This removed the ``retrieve_sector_databundle`` rule.
-  - Included rasterised ``natura.tiff`` in the data bundle and removed the
-    ``retrieve_natura_raster`` rule.
-  - Removed the ``build_natura_raster`` rule due to its infrequent use and
-    significant data bundle size increase.
-  - Removed outdated files from the data bundle (e.g., Eurostat energy
-    balances).
-  - Reduced the spatial scope of GEBCO bathymetry data to Europe to save space.
-  - Removed a separate data bundle for tutorials.
-  - Directly downloaded the `Hotmaps Industrial Database
-    <https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database/-/blob/master/data/Industrial_Database.csv>`__
-    from the source, removing ``Industrial_Database.csv`` from the data bundle.
-
-* Updated energy statistics: (https://github.com/PyPSA/pypsa-eur/pull/947,
-  https://github.com/PyPSA/pypsa-eur/pull/973,
-  https://github.com/PyPSA/pypsa-eur/pull/990,
-  https://github.com/PyPSA/pypsa-eur/pull/1025,
-  https://github.com/PyPSA/pypsa-eur/pull/1074)
-
-  - Updated Eurostat data to the 2023 version in :mod:`build_energy_totals`.
-  - Updated the latest Swiss energy totals to the 2023 version.
-  - Scaled JRC-IDEES data using the ratio of Eurostat data for energy totals
-    years after 2015 and 2015.
-  - Updated default energy totals year to 2019.
-  - Updated energy balances for residential demands (space, water, cooking) in
-    JRC-IDEES data with newer Eurostat values.
-
-* Improved documentation: (https://github.com/PyPSA/pypsa-eur/pull/1017,
-  https://github.com/PyPSA/pypsa-eur/pull/1014)
-
-  - Clarified that ``solving: rolling_horizon:`` only works for
-    :mod:`solve_operations_network`, not for networks with sector-coupling or
-    investment variables.
-  - Clarified suffix usage in `add_existing_baseyear`.
-  - Added documentation section for contributing documentation.
-
-* Included gas and oil fields and saline aquifers for estimating carbon
-  sequestration potentials. (https://github.com/PyPSA/pypsa-eur/pull/1010,
-  https://github.com/PyPSA/pypsa-eur/pull/983)
-
-* Doubled solar rooftop potentials to roughly 1 TW for Europe based on recent
-  European Commission reports.
-
-* Consistently sourced data on existing renewable capacities from
-  ``powerplantmatching``. Removed ``retrieve_irena`` rule. Updated the dataset
-  to include 2023 values. (https://github.com/PyPSA/pypsa-eur/pull/1018)
-
-* Added methanol consumption in industry as reported in the DECHEMA report
-  directly as methanol demand. (https://github.com/PyPSA/pypsa-eur/pull/1068)
-
-* Adapted disabling of transmission expansion in myopic foresight optimizations
-  when the limit is reached to handle cost limits.
-  (https://github.com/PyPSA/pypsa-eur/pull/952,
-  https://github.com/PyPSA/pypsa-eur/pull/1076)
-
-* Improved the behavior of ``agg_p_nom_limits``: Moved configuration to
-  ``solving``; added the ability to aggregate all ``offwind`` types; added
-  option to consider existing capacities; added option to distinguish by
-  planning horizon. (https://github.com/PyPSA/pypsa-eur/pull/1023)
-
-* Disabled ``electricity: everywhere_powerplants``` by default to save memory in
-  :mod:`simplify_network`.
-
-* Moved non-essential example configuration files to ``config/examples``.
-
-* Outputs of the retrieve rules are no longer marked as ``protected()``.
-
-* Improved carbon budget distribution plot.
-  (https://github.com/PyPSA/pypsa-eur/pull/1070)
-
-* Moved all graphics to ``doc/img``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1052)
-
-* Connection costs calculated in :mod:`simplify_network` are no longer written
-  to file. (https://github.com/PyPSA/pypsa-eur/pull/1031)
-
-**Bugs and Compatibility**
-
-* Updated ``technology-data`` to version v0.9.0.
-
-* Bumped minimum ``powerplantmatching`` version to v0.5.15.
-  (https://github.com/PyPSA/pypsa-eur/pull/1057)
-
-* Bugfix: The configuration setting ``electricity:
-  estimate_renewable_capacities: enable:`` for rule :mod:`add_electricity` is
-  not compatible with ``foresight: myopic``. The logic now skips adding existing
-  renewable capacities in :mod:`add_electricity` if the foresight mode is
-  ``myopic``. (https://github.com/PyPSA/pypsa-eur/pull/1080)
-
-* Bugfix: Ensure gas-fired power plants are correctly added as OCGT or CCGT in
-  :mod:`add_electricity`. Previously, they were always added as OCGT.
-
-* Bugfix: Fix distinction of temperature-dependent correction factors for the
-  energy demand of electric vehicles and ICEs fuel cell cars.
-  (https://github.com/PyPSA/pypsa-eur/pull/957)
-
-* Bugfix: Ensure all industry coal demands are considered when using
-  ``sector_ratios_fraction_future``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1047)
-
-* Bugfix: Add existing heat pumps to low-voltage level.
-  (https://github.com/PyPSA/pypsa-eur/pull/948)
-
-* Fixed gas network retrofitting to hydrogen in :mod:`add_brownfield` for myopic
-  pathway studies. (https://github.com/PyPSA/pypsa-eur/pull/1036)
-
-* Bugfix: Consider decommissioning of existing renewable assets in
-  :mod:`add_existing_baseyear`. (https://github.com/PyPSA/pypsa-eur/pull/1001,
-  https://github.com/PyPSA/pypsa-eur/pull/959)
-
-* Bugfix: Adjust build year groups of existing capacities for consistency with
-  optimized capacities per planning horizon. The previous setup neglected some
-  existing heating capacities. (https://github.com/PyPSA/pypsa-eur/pull/1019)
-
-* Bugfix: Corrected a bug causing power plants to operate after their
-  ``DateOut``. Added additional grouping years before 1980.
-  (https://github.com/PyPSA/pypsa-eur/pull/958)
-
-* Bugfix: Allow modeling sector-coupled landlocked regions by handling the
-  absence of offshore wind. (https://github.com/PyPSA/pypsa-eur/pull/944)
-
-* Bugfix: Correct approximation of hydropower generation if Portugal or Spain
-  are not included. (https://github.com/PyPSA/pypsa-eur/pull/1054)
-
-* Bugfix: In :mod:`build_electricity_demand`, ensure load data is only added if
-  the country is included in the configuration.
-  (https://github.com/PyPSA/pypsa-eur/pull/1054)
-
-* Bugfix: Skip heat bus for CHPs in areas without central heating.
-  (https://github.com/PyPSA/pypsa-eur/pull/1021)
-
-* Bugfix: Avoid duplicated offshore regions.
-
-* Fixed type error with ``m`` option in :mod:`cluster_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/986)
-
-* Fixed error with ``symbol`` column of buses in :mod:`simplify_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/987)
-
-* Fixed index of existing capacities in
-  ``add_power_capacities_installed_before_baseyear`` with ``m`` option.
-  (https://github.com/PyPSA/pypsa-eur/pull/1002)
-
-* Fixed reading in custom busmaps in :mod:`cluster_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/1008)
-
-* Fixed ``p_nom_min`` of renewables generators for myopic approach and added
-  check of existing capacities in ``add_land_use_constraint_m``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1022,
-  https://github.com/PyPSA/pypsa-eur/pull/1029)
-
-* Fixed duplicated years and grouping years reference in
-  ``add_land_use_constraint_m``. (https://github.com/PyPSA/pypsa-eur/pull/991,
-  https://github.com/PyPSA/pypsa-eur/pull/968)
-
-* Fixed filling of missing data in
-  ``build_industry_sector_ratios_intermediate``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1004)
-
-* Fixed file name encoding in optional rule :mod:`build_biomass_transport_costs`
-  depending on the operating system.
-  (https://github.com/PyPSA/pypsa-eur/pull/769)
-
-* Technical fix for constraint function ``add_operational_reserve_margin``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1071)
-
-* Technical fix for constraint function ``add_BAU_constraints``.
-  (https://github.com/PyPSA/pypsa-eur/pull/1024)
-
-* Fixed network clustering and simplification issues caused by adding TYNDP
-  links. (https://github.com/PyPSA/pypsa-eur/pull/1067)
-
-* Bugfix: Ensure correct indexing of weights in :mod:`cluster_network`.
-  (https://github.com/PyPSA/pypsa-eur/pull/988)
-
-* Bugfix: Only sanitize locations when there are buses with a location.
-  (https://github.com/PyPSA/pypsa-eur/pull/971)
-
-PyPSA-Eur 0.10.0 (19th February 2024)
-=====================================
-
-**New Features**
-
-* Improved representation of industry transition pathways. A new script was
-  added to interpolate industry sector ratios from today's status quo to future
-  systems (i.e. specific emissions and demands for energy and feedstocks). For
-  each country we gradually switch industry processes from today's specific
-  energy carrier usage per ton material output to the best-in-class energy
-  consumption of tomorrow. This is done on a per-country basis. The ratio of
-  today to tomorrow's energy consumption is set with the ``industry:
-  sector_ratios_fraction_future:`` parameter
-  (https://github.com/PyPSA/pypsa-eur/pull/929).
-
-* Add new default to overdimension heating in individual buildings. This allows
-  them to cover heat demand peaks e.g. 10% higher than those in the data. The
-  disadvantage of manipulating the costs is that the capacity is then not quite
-  right. This way at least the costs are right
-  (https://github.com/PyPSA/pypsa-eur/pull/918).
-
-* Allow industrial coal demand to be regional so its emissions can be included
-  in regional emission limits (https://github.com/PyPSA/pypsa-eur/pull/923).
-
-* Add option to specify to set a default heating lifetime for existing heating
-  (``existing_capacities: default_heating_lifetime:``)
-  (https://github.com/PyPSA/pypsa-eur/pull/918).
-
-* Added option to specify turbine and solar panel models for specific years as a
-  dictionary (e.g. ``renewable: onwind: resource: turbine:``). The years will be
-  interpreted as years from when the the corresponding turbine model substitutes
-  the previous model for new installations. This will only have an effect on
-  workflows with foresight ``"myopic"`` and still needs to be added foresight
-  option ``"perfect"`` (https://github.com/PyPSA/pypsa-eur/pull/912).
-
-* New configuration option ``everywhere_powerplants`` to build conventional
-  powerplants everywhere, irrespective of existing powerplants locations, in the
-  network (https://github.com/PyPSA/pypsa-eur/pull/850).
-
-* Add the option to customise map projection in plotting config under
-  ``plotting: projection: name`` (https://github.com/PyPSA/pypsa-eur/pull/898).
-
-* Add support for the linopy ``io_api`` option under ``solving: options:
-  io_api:``. Set to ``"direct"`` to increase model reading and writing
-  performance for the highs and gurobi solvers on slow file systems
-  (https://github.com/PyPSA/pypsa-eur/pull/892).
-
-* It is now possible to determine the directory for shared resources by setting
-  `shared_resources` to a string (https://github.com/PyPSA/pypsa-eur/pull/906).
-
-* Improve ``mock_snakemake()`` for usage in Snakemake modules
-  (https://github.com/PyPSA/pypsa-eur/pull/869).
-
-**Breaking Changes**
-
-* Remove long-deprecated function ``attach_extendable_generators`` in
-  :mod:`add_electricity`.
-
-* Remove option for wave energy as technology data is not maintained.
-
-* The order of buses (bus0, bus1, ...) for DAC components has changed to meet
-  the convention of the other components. Therefore, `bus0` refers to the
-  electricity bus (input), `bus1` to the heat bus (input), 'bus2' to the CO2
-  atmosphere bus (input), and `bus3` to the CO2 storage bus (output)
-  (https://github.com/PyPSA/pypsa-eur/pull/901).
-
-**Changes**
-
-* Upgrade default techno-economic assumptions to ``technology-data`` v0.8.0.
-
-* Update hydrogen pipeline losses to latest data from Danish Energy Agency
-  (https://github.com/PyPSA/pypsa-eur/pull/933).
-
-* Move building of daily heat profile to its own rule
-  :mod:`build_hourly_heat_demand` from :mod:`prepare_sector_network`
-  (https://github.com/PyPSA/pypsa-eur/pull/884).
-
-* In :mod:`build_energy_totals`, district heating shares are now reported in a
-  separate file (https://github.com/PyPSA/pypsa-eur/pull/884).
-
-* Move calculation of district heating share to its own rule
-  :mod:`build_district_heat_share`
-  (https://github.com/PyPSA/pypsa-eur/pull/884).
-
-* Move building of distribution of existing heating to own rule
-  :mod:`build_existing_heating_distribution`. This makes the distribution of
-  existing heating to urban/rural, residential/services and spatially more
-  transparent (https://github.com/PyPSA/pypsa-eur/pull/884).
-
-* Default settings for recycling rates and primary product shares of high-value
-  chemicals have been set in accordance with the values used in `Neumann et al.
-  (2023) <https://doi.org/10.1016/j.joule.2023.06.016>`__ linearly interpolated
-  between 2020 and 2050. The recycling rates are based on data from `Agora
-  Energiewende (2021)
-  <https://static.agora-energiewende.de/fileadmin/Projekte/2021/2021_02_EU_CEAP/A-EW_254_Mobilising-circular-economy_study_WEB.pdf>`__.
-
-* Air-sourced heat pumps can now also be built in rural areas. Previously, only
-  ground-sourced heat pumps were considered for this category
-  (https://github.com/PyPSA/pypsa-eur/pull/890).
-
-* The default configuration ``config/config.default.yaml`` is now automatically
-  used as a base configuration file. The file ``config/config.yaml`` can now be
-  used to only define deviations from the default configuration. The
-  ``config/config.default.yaml`` is still copied into ``config/config.yaml`` on
-  first usage (https://github.com/PyPSA/pypsa-eur/pull/925).
-
-* Regions are assigned to all buses with unique coordinates in the network with
-  a preference given to substations. Previously, only substations had assigned
-  regions, but this could lead to issues when a high spatial resolution was
-  applied (https://github.com/PyPSA/pypsa-eur/pull/922).
-
-* Define global constraint for CO2 emissions on the final state of charge of the
-  CO2 atmosphere store. This gives a more sparse constraint that should improve
-  the performance of the solving process
-  (https://github.com/PyPSA/pypsa-eur/pull/862).
-
-* Switched the energy totals year from 2011 to 2013 to comply with the assumed
-  default weather year (https://github.com/PyPSA/pypsa-eur/pull/934).
-
-* Cluster residential and services heat buses by default. Can be disabled with
-  ``cluster_heat_buses: false`` (https://github.com/PyPSA/pypsa-eur/pull/877).
-
-* The rule ``plot_network`` has been split into separate rules for plotting
-  electricity, hydrogen and gas networks
-  (https://github.com/PyPSA/pypsa-eur/pull/900).
-
-* To determine the optimal topology to meet the number of clusters, the workflow
-  used pyomo in combination with ``ipopt`` or ``gurobi``. This dependency has
-  been replaced by using ``linopy`` in combination with ``scipopt`` or
-  ``gurobi``. The environment file has been updated accordingly
-  (https://github.com/PyPSA/pypsa-eur/pull/903).
-
-* The ``highs`` solver was added to the default environment file.
-
-* New default solver settings for COPT solver
-  (https://github.com/PyPSA/pypsa-eur/pull/882).
-
-* Data retrieval rules now use their own minimal conda environment. This can
-  avoid unnecessary reruns of the workflow
-  (https://github.com/PyPSA/pypsa-eur/pull/888).
-
-* Merged two OPSD time series data versions into such that the option ``load:
-  power_statistics:`` becomes superfluous and was hence removed
-  (https://github.com/PyPSA/pypsa-eur/pull/924).
-
-* The filtering of power plants in the ``config.default.yaml`` has been updated
-  regarding phased-out power plants in 2023.
-
-* Include all countries in ammonia production resource. This is so that the full
-  EU28 ammonia demand can be correctly subtracted in the rule
-  :mod:`build_industry_sector_ratios`
-  (https://github.com/PyPSA/pypsa-eur/pull/931).
-
-* Correctly source the existing heating technologies for buildings since the
-  source URL has changed. It represents the year 2012 and is only for buildings,
-  not district heating (https://github.com/PyPSA/pypsa-eur/pull/918).
-
-* Add warning when BEV availability weekly profile has negative values in
-  `build_transport_demand` (https://github.com/PyPSA/pypsa-eur/pull/858).
-
-* Time series clipping for very small values was added for Links
-  (https://github.com/PyPSA/pypsa-eur/pull/870).
-
-* A ``test.sh`` script was added to the repository to run the tests locally.
-
-* The CI now tests additionally against ``master`` versions of PyPSA, atlite and
-  powerplantmatching (https://github.com/PyPSA/pypsa-eur/pull/904).
-
-* A function ``sanitize_locations()`` was added to improve the coverage of the
-  ``location`` attribute of network components.
-
-**Bugs and Compatibility**
-
-* Bugfix: Do not reduce district heat share when building population-weighted
-  energy statistics. Previously the district heating share was being multiplied
-  by the population weighting, reducing the DH share with multiple nodes
-  (https://github.com/PyPSA/pypsa-eur/pull/884).
-
-* Bugfix: The industry coal emissions for industry were not properly tracked
-  (https://github.com/PyPSA/pypsa-eur/pull/923).
-
-* Bugfix: Correct units of subtracted chlorine and methanol demand in
-  :mod:`build_industry_sector_ratios`
-  (https://github.com/PyPSA/pypsa-eur/pull/930).
-
-* Various minor bugfixes to the perfect foresight workflow, though perfect
-  foresight must still be considered experimental
-  (https://github.com/PyPSA/pypsa-eur/pull/910).
-
-* Fix plotting of retrofitted hydrogen pipelines with myopic pathway
-  optimisation (https://github.com/PyPSA/pypsa-eur/pull/937).
-
-* Bugfix: Correct technology keys for the electricity production plotting to
-  work out the box.
-
-* Bugfix: Assure entering of code block which corrects Norwegian heat demand
-  (https://github.com/PyPSA/pypsa-eur/pull/870).
-
-* Stacktrace of uncaught exceptions should now be correctly included inside log
-  files (via `configure_logging(..)`)
-  (https://github.com/PyPSA/pypsa-eur/pull/875).
-
-* Bugfix: Correctly read out number of solver threads from configuration file
-  (https://github.com/PyPSA/pypsa-eur/pull/889).
-
-* Made copying default config file compatible with snakemake module
-  (https://github.com/PyPSA/pypsa-eur/pull/894).
-
-* Compatibility with ``pandas=2.2``
-  (https://github.com/PyPSA/pypsa-eur/pull/861).
-
-Special thanks for this release to Koen van Greevenbroek (`@koen-vg
-<https://github.com/koen-vg>`__) for various new features, bugfixes and taking
-care of deprecations.
-
-
-PyPSA-Eur 0.9.0 (5th January 2024)
-==================================
-
-**New Features**
-
-* Add option to specify losses for bidirectional links, e.g. pipelines or HVDC
-  links, in configuration file under ``sector: transmission_efficiency:``. Users
-  can specify static or length-dependent values as well as a length-dependent
-  electricity demand for compression, which is implemented as a multi-link to
-  the local electricity buses. The bidirectional links will then be split into
-  two unidirectional links with linked capacities (https://github.com/PyPSA/pypsa-eur/pull/739).
-
-* Merged option to extend geographical scope to Ukraine and Moldova. These
-  countries are excluded by default and is currently constrained to power-sector
-  only parts of the workflow. A special config file
-  `config/config.entsoe-all.yaml` was added as an example to run the workflow
-  with all ENTSO-E member countries (including observer members like Ukraine and
-  Moldova). Moldova can currently only be included in conjunction with Ukraine
-  due to the absence of demand data. The Crimean power system is manually
-  reconnected to the main Ukrainian grid with the configuration option
-  `reconnect_crimea` (https://github.com/PyPSA/pypsa-eur/pull/321).
-
-* New experimental support for multi-decade optimisation with perfect foresight
-  (``foresight: perfect``). Maximum growth rates for carriers, global carbon
-  budget constraints and emission constraints for particular investment periods.
-
-* Add option to reference an additional source file where users can specify
-  custom ``extra_functionality`` constraints in the configuration file. The
-  default setting points to an empty hull at
-  ``data/custom_extra_functionality.py`` (https://github.com/PyPSA/pypsa-eur/pull/824).
-
-* Add locations, capacities and costs of existing gas storage using Global
-  Energy Monitor's `Europe Gas Tracker
-  <https://globalenergymonitor.org/projects/europe-gas-tracker>`__
-  (https://github.com/PyPSA/pypsa-eur/pull/835).
-
-* Add option to use `LUISA Base Map
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC124621>`__ 50m land
-  coverage dataset for land eligibility analysis in
-  :mod:`build_renewable_profiles`. Settings are analogous to the CORINE dataset
-  but with the key ``luisa:`` in the configuration file. To leverage the
-  dataset's full advantages, set the excluder resolution to 50m
-  (``excluder_resolution: 50``). For land category codes, see `Annex 1 of the
-  technical documentation
-  <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`__
-  (https://github.com/PyPSA/pypsa-eur/pull/842).
-
-* Add option to capture CO2 contained in biogas when upgrading (``sector:
-  biogas_to_gas_cc``) (https://github.com/PyPSA/pypsa-eur/pull/615).
-
-* If load shedding is activated, it is now applied to all carriers, not only
-  electricity (https://github.com/PyPSA/pypsa-eur/pull/784).
-
-* Add option for heat vents in district heating (``sector:
-  central_heat_vent:``). The combination of must-run conditions for some
-  power-to-X processes, waste heat usage enabled and decreasing heating demand,
-  can lead to infeasibilities in pathway optimisation for some investment
-  periods since larger Fischer-Tropsch capacities are needed in early years but
-  the waste heat exceeds the heat demand in later investment periods.
-  (https://github.com/PyPSA/pypsa-eur/pull/791).
-
-* Allow possibility to go from copperplated to regionally resolved methanol and
-  oil demand with switches ``sector: regional_methanol_demand: true`` and
-  ``sector: regional_oil_demand: true``. This allows nodal/regional CO2
-  constraints to be applied (https://github.com/PyPSA/pypsa-eur/pull/827).
-
-* Allow retrofitting of existing gas boilers to hydrogen boilers in pathway
-  optimisation.
-
-* Add option to add time-varying CO2 emission prices (electricity-only, ``costs:
-  emission_prices: co2_monthly_prices: true``). This is linked to the new
-  ``{opts}`` wildcard option ``Ept``.
-
-* Network clustering can now consider efficiency classes when aggregating
-  carriers. The option ``clustering: consider_efficiency_classes:`` aggregates
-  each carriers into the top 10-quantile (high), the bottom 90-quantile (low),
-  and everything in between (medium).
-
-* Added option ``conventional: dynamic_fuel_price:`` to consider the monthly
-  fluctuating fuel prices for conventional generators. Refer to the CSV file
-  ``data/validation/monthly_fuel_price.csv``.
-
-* For hydro-electricity, add switches ``flatten_dispatch`` to consider an upper
-  limit for the hydro dispatch. The limit is given by the average capacity
-  factor plus the buffer given in  ``flatten_dispatch_buffer``.
-
-* Extend options for waste heat usage from Haber-Bosch, methanolisation and
-  methanation (https://github.com/PyPSA/pypsa-eur/pull/834).
-
-* Add new ``sector_opts`` wildcard option "nowasteheat" to disable all waste
-  heat usage (https://github.com/PyPSA/pypsa-eur/pull/834).
-
-* Add new rule ``retrieve_irena`` to automatically retrieve up-to-date values
-  for existing renewables capacities (https://github.com/PyPSA/pypsa-eur/pull/756).
-
-* Print Irreducible Infeasible Subset (IIS) if model is infeasible. Only for
-  solvers with IIS support (https://github.com/PyPSA/pypsa-eur/pull/841).
-
-* More wildcard options now have a corresponding config entry. If the wildcard
-  is given, then its value is used. If the wildcard is not given but the options
-  in config are enabled, then the value from config is used. If neither is
-  given, the options are skipped (https://github.com/PyPSA/pypsa-eur/pull/827).
-
-* Validate downloads from Zenodo using MD5 checksums. This identifies corrupted
-  or incomplete downloads (https://github.com/PyPSA/pypsa-eur/pull/821).
-
-* Add rule ``sync`` to synchronise with a remote machine using the ``rsync``
-  library. Configuration settings are found under ``remote:``.
-
-**Breaking Changes**
-
-* Remove all negative loads on the ``co2 atmosphere`` bus representing emissions
-  for e.g. fixed fossil demands for transport oil. Instead these are handled
-  more transparently with a fixed transport oil demand and a link taking care of
-  the emissions to the ``co2 atmosphere`` bus. This is also a preparation for
-  endogenous transport optimisation, where demand will be subject to
-  optimisation (e.g. fuel switching in the transport sector)
-  (https://github.com/PyPSA/pypsa-eur/pull/827).
-
-* Process emissions from steam crackers (i.e. naphtha processing for HVC) are
-  now piped from the consumption link to the process emissions bus where the
-  model can decide about carbon capture. Previously the process emissions for
-  naphtha were a fixed load (https://github.com/PyPSA/pypsa-eur/pull/827).
-
-* Distinguish between stored and sequestered CO2. Stored CO2 is stored
-  overground in tanks and can be used for CCU (e.g. methanolisation).
-  Sequestered CO2 is stored underground and can no longer be used for CCU. This
-  distinction is made because storage in tanks is more expensive than
-  underground storage. The link that connects stored and sequestered CO2 is
-  unidirectional (https://github.com/PyPSA/pypsa-eur/pull/844).
-
-* Files extracted from sector-coupled data bundle have been moved from ``data/``
-  to ``data/sector-bundle``.
-
-* Split configuration to enable SMR and SMR CC (``sector: smr:`` and ``sector:
-  smr_cc:``) (https://github.com/PyPSA/pypsa-eur/pull/757).
-
-* Add separate option to add resistive heaters to the technology choices
-  (``sector: resistive_heaters:``). Previously they were always added when
-  boilers were added (https://github.com/PyPSA/pypsa-eur/pull/808).
-
-* Remove HELMETH option (``sector: helmeth:``).
-
-* Remove "conservative" renewable potentials estimation option
-  (https://github.com/PyPSA/pypsa-eur/pull/838).
-
-* With this release we stop posting updates to the network pre-builts.
-
-**Changes**
-
-* Updated Global Energy Monitor LNG terminal data to March 2023 version
-  (https://github.com/PyPSA/pypsa-eur/pull/707).
-
-* For industry distribution, use EPRTR as fallback if ETS data is not available
-  (https://github.com/PyPSA/pypsa-eur/pull/721).
-
-* It is now possible to specify years for biomass potentials which do not exist
-  in the JRC-ENSPRESO database, e.g. 2037. These are linearly interpolated
-  (https://github.com/PyPSA/pypsa-eur/pull/744).
-
-* In pathway mode, the biomass potential is linked to the investment year
-  (https://github.com/PyPSA/pypsa-eur/pull/744).
-
-* Increase allowed deployment density of solar to 5.1 MW/sqkm by default.
-
-* Default to full electrification of land transport by 2050.
-
-* Provide exogenous transition settings in 5-year steps.
-
-* Default to approximating transmission losses in HVAC lines
-  (``transmission_losses: 2``).
-
-* Use electrolysis waste heat by default.
-
-* Set minimum part loads for PtX processes to 30% for methanolisation and
-  methanation, and to 70% for Fischer-Tropsch synthesis.
-
-* Add VOM as marginal cost to PtX processes
-  (https://github.com/PyPSA/pypsa-eur/pull/830).
-
-* Add pelletizing costs for biomass boilers (https://github.com/PyPSA/pypsa-eur/pull/833).
-
-* Update default offshore wind turbine model to "NREL Reference 2020 ATB 5.5 MW"
-  (https://github.com/PyPSA/pypsa-eur/pull/832).
-
-* Switch to using hydrogen and electricity inputs for Haber-Bosch from
-  https://github.com/PyPSA/technology-data (https://github.com/PyPSA/pypsa-eur/pull/831).
-
-* The configuration setting for country focus weights when clustering the
-  network has been moved from ``focus_weights:`` to ``clustering:
-  focus_weights:``. Backwards compatibility to old config files is maintained
-  (https://github.com/PyPSA/pypsa-eur/pull/794).
-
-* The ``mock_snakemake`` function can now be used with a Snakefile from a
-  different directory using the new ``root_dir`` argument
-  (https://github.com/PyPSA/pypsa-eur/pull/771).
-
-* Rule ``purge`` now initiates a dialog to confirm if purge is desired
-  (https://github.com/PyPSA/pypsa-eur/pull/745).
-
-* Files downloaded from zenodo are now write-protected to prevent accidental
-  re-download (https://github.com/PyPSA/pypsa-eur/pull/730).
-
-* Performance improvements for rule ``build_ship_raster``
-  (https://github.com/PyPSA/pypsa-eur/pull/845).
-
-* Improve time logging in :mod:`build_renewable_profiles`
-  (https://github.com/PyPSA/pypsa-eur/pull/837).
-
-* In myopic pathway optimisation, disable power grid expansion if line volume
-  already hit (https://github.com/PyPSA/pypsa-eur/pull/840).
-
-* JRC-ENSPRESO data is now downloaded from a Zenodo mirror because the link was
-  unreliable (https://github.com/PyPSA/pypsa-eur/pull/801).
-
-* Add focus weights option for clustering to documentation
-  (https://github.com/PyPSA/pypsa-eur/pull/781).
-
-* Add proxy for biomass transport costs if no explicit biomass transport network
-  is considered (https://github.com/PyPSA/pypsa-eur/pull/711).
-
-**Bugs and Compatibility**
-
-* The minimum PyPSA version is now 0.26.1.
-
-* Update to ``tsam>=0.2.3`` for performance improvements in temporal clustering.
-
-* Pin ``snakemake`` version to below 8.0.0, as the new version is not yet
-  supported. The next release will switch to the requirement ``snakemake>=8``.
-
-* Bugfix: Add coke and coal demand for integrated steelworks
-  (https://github.com/PyPSA/pypsa-eur/pull/718).
-
-* Bugfix: Make :mod:`build_renewable_profiles` consider subsets of cutout time
-  scope (https://github.com/PyPSA/pypsa-eur/pull/709).
-
-* Bugfix: In :mod:`simplify network`, remove 'underground' column to avoid
-  consense error (https://github.com/PyPSA/pypsa-eur/pull/714).
-
-* Bugfix: Fix in :mod:`add_existing_baseyear` to account for the case when there
-  is no rural heating demand for some nodes in network
-  (https://github.com/PyPSA/pypsa-eur/pull/706).
-
-* Bugfix: The unit of the capital cost of Haber-Bosch plants was corrected
-  (https://github.com/PyPSA/pypsa-eur/pull/829).
-
-* The minimum capacity for renewable generators when using the myopic option has
-  been fixed (https://github.com/PyPSA/pypsa-eur/pull/728).
-
-* Compatibility for running with single node and single country
-  (https://github.com/PyPSA/pypsa-eur/pull/839).
-
-* A bug preventing the addition of custom powerplants specified in
-  ``data/custom_powerplants.csv`` was fixed.
-  (https://github.com/PyPSA/pypsa-eur/pull/732)
-
-* Fix nodal fraction in :mod:`add_existing_year` when using distributed
-  generators (https://github.com/PyPSA/pypsa-eur/pull/798).
-
-* Bugfix: District heating without progress caused division by zero
-  (https://github.com/PyPSA/pypsa-eur/pull/796).
-
-* Bugfix: Drop duplicates in :mod:`build_industrial_distribution_keys`, which
-  can occur through the geopandas ``.sjoin()`` function if a point is located on
-  a border (https://github.com/PyPSA/pypsa-eur/pull/726).
-
-* For network clustering fall back to ``ipopt`` when ``highs`` is designated
-  solver (https://github.com/PyPSA/pypsa-eur/pull/795).
-
-* Fix typo in buses definition for oil boilers in ``add_industry`` in
-  :mod:`prepare_sector_network` (https://github.com/PyPSA/pypsa-eur/pull/812).
-
-* Resolve code issues for endogenous building retrofitting. Select correct
-  sector names, address deprecations, distinguish between district heating,
-  decentral heating in urban areas or rural areas for floor area calculations
-  (https://github.com/PyPSA/pypsa-eur/pull/808).
-
-* Addressed various deprecations.
-
-
-PyPSA-Eur 0.8.1 (27th July 2023)
-================================
-
-**New Features**
-
-* Add option to consider dynamic line rating based on wind speeds and
-  temperature according to `Glaum and Hofmann (2022)
-  <https://arxiv.org/abs/2208.04716>`__. See configuration section ``lines:
-  dynamic_line_rating:`` for more details. (https://github.com/PyPSA/pypsa-eur/pull/675)
-
-* Add option to include a piecewise linear approximation of transmission losses,
-  e.g. by setting ``solving: options: transmission_losses: 2`` for an
-  approximation with two tangents. (https://github.com/PyPSA/pypsa-eur/pull/664)
-
-* Add plain hydrogen turbine as additional re-electrification option besides
-  hydrogen fuel cell. Add switches for both re-electrification options under
-  ``sector: hydrogen_turbine:`` and ``sector: hydrogen_fuel_cell:``.
-  (https://github.com/PyPSA/pypsa-eur/pull/647)
-
-* Added configuration option ``lines: max_extension:`` and ``links:
-  max_extension:``` to control the maximum capacity addition per line or link in
-  MW. (https://github.com/PyPSA/pypsa-eur/pull/665)
-
-* A ``param:`` section in the snakemake rule definitions was added to track
-  changed settings in ``config.yaml``. The goal is to automatically re-execute
-  rules where parameters have changed. See `Non-file parameters for rules
-  <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#non-file-parameters-for-rules>`__
-  in the snakemake documentation. (https://github.com/PyPSA/pypsa-eur/pull/663)
-
-* A new function named ``sanitize_carrier`` ensures that all unique carrier
-  names are present in the network's carriers attribute, and adds nice names and
-  colors for each carrier according to the provided configuration dictionary.
-  (https://github.com/PyPSA/pypsa-eur/pull/653,
-  https://github.com/PyPSA/pypsa-eur/pull/690)
-
-* The configuration settings have been documented in more detail.
-  (https://github.com/PyPSA/pypsa-eur/pull/685)
-
-**Breaking Changes**
-
-* The configuration files are now located in the ``config`` directory. This
-  includes the ``config.default.yaml``, ``config.yaml`` as well as the test
-  configuration files which are now located in the ``config/test`` directory.
-  Config files that are still in the root directory will be ignored.
-  (https://github.com/PyPSA/pypsa-eur/pull/640)
-
-* Renamed script and rule name from ``build_load_data`` to
-  ``build_electricity_demand`` and ``retrieve_load_data`` to
-  ``retrieve_electricity_demand``. (https://github.com/PyPSA/pypsa-eur/pull/642,
-  https://github.com/PyPSA/pypsa-eur/pull/652)
-
-* Updated to new spatial clustering module introduced in PyPSA v0.25.
-  (https://github.com/PyPSA/pypsa-eur/pull/696)
-
-**Changes**
-
-* Handling networks with links with multiple inputs/outputs no longer requires
-  to override component attributes.
-  (https://github.com/PyPSA/pypsa-eur/pull/695)
-
-* Added configuration option ``enable: retrieve:`` to control whether data
-  retrieval rules from snakemake are enabled or not. Th default setting ``auto``
-  will automatically detect and enable/disable the rules based on internet
-  connectivity. (https://github.com/PyPSA/pypsa-eur/pull/694)
-
-* Update to ``technology-data`` v0.6.0.
-  (https://github.com/PyPSA/pypsa-eur/pull/704)
-
-* Handle data bundle extraction paths via ``snakemake.output``.
-
-* Additional technologies are added to ``tech_color`` in the configuration files
-  to include previously unlisted carriers.
-
-* Doc: Added note that Windows is only tested in CI with WSL.
-  (https://github.com/PyPSA/pypsa-eur/issues/697)
-
-* Doc: Add support section. (https://github.com/PyPSA/pypsa-eur/pull/656)
-
-* Open ``rasterio`` files with ``rioxarray``.
-  (https://github.com/PyPSA/pypsa-eur/pull/474)
-
-* Migrate CI to ``micromamba``. (https://github.com/PyPSA/pypsa-eur/pull/700)
-
-**Bugs and Compatibility**
-
-* The new minimum PyPSA version is v0.25.1.
-
-* Removed ``vresutils`` dependency.
-  (https://github.com/PyPSA/pypsa-eur/pull/662)
-
-* Adapt to new ``powerplantmatching`` version.
-  (https://github.com/PyPSA/pypsa-eur/pull/687,
-  https://github.com/PyPSA/pypsa-eur/pull/701)
-
-* Bugfix: Correct typo in the CPLEX solver configuration in
-  ``config.default.yaml``. (https://github.com/PyPSA/pypsa-eur/pull/630)
-
-* Bugfix: Error in ``add_electricity`` where carriers were added multiple times
-  to the network, resulting in a non-unique carriers error.
-
-* Bugfix of optional reserve constraint.
-  (https://github.com/PyPSA/pypsa-eur/pull/645)
-
-* Fix broken equity constraints logic.
-  (https://github.com/PyPSA/pypsa-eur/pull/679)
-
-* Fix addition of load shedding generators.
-  (https://github.com/PyPSA/pypsa-eur/pull/649)
-
-* Fix automatic building of documentation on readthedocs.org.
-  (https://github.com/PyPSA/pypsa-eur/pull/658)
-
-* Bugfix: Update network clustering to avoid adding deleted links in clustered
-  network. (https://github.com/PyPSA/pypsa-eur/pull/678)
-
-* Address ``geopandas`` deprecations.
-  (https://github.com/PyPSA/pypsa-eur/pull/678)
-
-* Fix bug with underground hydrogen storage creation, where for some small model
-  regions no cavern storage is available.
-  (https://github.com/PyPSA/pypsa-eur/pull/672)
-
-
-* Addressed deprecation warnings for ``pandas=2.0``. ``pandas=2.0`` is now minimum requirement.
-
-PyPSA-Eur 0.8.0 (18th March 2023)
-=================================
-
-.. note::
-  This is the first release of PyPSA-Eur which incorporates its sector-coupled extension PyPSA-Eur-Sec (v0.7.0).
-  PyPSA-Eur can now directly be used for high-resolution energy system modelling with sector-coupling
-  including industry, transport, buildings, biomass, and detailed carbon management. The PyPSA-Eur-Sec repository is now deprecated.
-
-* The :mod:`solve_network` script now uses the ``linopy`` backend of PyPSA and is applied for both electricity-only and sector-coupled models. This
-  requires an adjustment of custom ``extra_functionality``.
-  See the `migration guide <https://pypsa.readthedocs.io/en/latest/examples/optimization-with-linopy-migrate-extra-functionalities.html>`__ in the PyPSA documentation.
-
-* The configuration file ``config.default.yaml`` now also includes settings for
-  sector-coupled models, which will be ignored when the user runs
-  electricity-only studies. Common settings have been aligned.
-
-* Unified handling of scenario runs. Users can name their scenarios in ``run:
-  name:``, which will encapsulate results in a correspondingly named folder
-  under ``results``. Additionally, users can select to encapsulate the ``resources`` folder
-  in the same way, through the setting ``run: shared_resources:``.
-
-* The solver configurations in ``config.default.yaml`` are now modularized. To
-  change the set of solver options, change to value in ``solving: solver:
-  options:`` to one of the keys in ``solving: solver_options:``.
-
-* The ``Snakefile`` has been modularised. Rules are now organised in the
-  ``rules`` directory.
-
-* Unified wildcard for transmission line expansion from ``{lv}`` and ``{ll}`` to
-  ``{ll}``.
-
-* Renamed collection rules to distinguish between sector-coupled and
-  electricity-only runs: ``cluster_networks``, ``extra_components_networks``,
-  ``prepare_elec_networks``, ``prepare_sector_networks``,
-  ``solve_elec_networks``, ``solve_sector_networks``, ``plot_networks``,
-  ``all``.
-
-* Some rules with a small computational footprint have been declared as ``localrules``.
-
-* Added new utility rules ``purge`` for clearing workflow outputs from the
-  directory, ``doc`` to build the documentation, and ``dag`` to create a
-  workflow graph.
-
-* The workflow can now be used with the ``snakemake --use-conda`` directive. In
-  this way, Snakemake can automatically handle the installation of dependencies.
-
-* Data retrieval rules now retry download twice in case of connection problems.
-
-* The cutouts are now marked as ``protected()`` in the workflow to avoid
-  accidental recomputation.
-
-* The files contained in ``data/bundle`` are now marked as ``ancient()`` as they
-  are not expected to be altered by workflow changes.
-
-* Preparation scripts for sector-coupled models have been improved to only run
-  for the subset of selected countries rather than all European countries.
-
-* Added largely automated country code conversion using ``country_converter``..
-
-* Test coverage extended to an electricity-only run and sector-coupled runs for
-  overnight and myopic foresight scenarios for Ubuntu, MacOS and Windows.
-
-* Apply ``black`` and ``snakefmt`` code formatting.
-
-* Implemented REUSE compatibility for merged code.
-
-* Merged documentations of PyPSA-Eur and PyPSA-Eur-Sec.
-
-* Added a tutorial for running sector-coupled models to the documentation
-  (:ref:`tutorial_sector`).
-
-* Deleted ``config.tutorial.yaml``, which is superseded by
-  ``test/config.electricity.yaml``.
-
-* The ``mock_snakemake`` function now also takes configuration files as inputs.
-
-* The helper scripts ``helper.py`` and ``_helpers.py`` have been merged into
-  ``_helpers.py``.
-
-* The unused rule ``plot_p_nom_max`` has been removed.
-
-* The rule ``solve_network`` from PyPSA-Eur-Sec was renamed to
-  ``solve_sector_network``.
-
-* The plotting scripts from PyPSA-Eur (electricity-only) have been removed and
-  are superseded by those from PyPSA-Eur-Sec (sector-coupled).
-
-PyPSA-Eur Releases (pre-merge)
-==============================
-
-PyPSA-Eur 0.7.0 (16th February 2023)
-------------------------------------
-
-
-**New Features**
-
-* Carriers of generators can now be excluded from aggregation in clustering
-  network and simplify network (see ``exclude_carriers``).
-
-* Added control for removing stubs in  :mod:`simplify_network` with options
-  ``remove_stubs`` and ``remove_stubs_across_countries``.
-
-* Add control for showing a progressbar in ``atlite`` processes
-  (``show_progress``). Disabling the progressbar saves a lot of time.
-
-* Added control for resolution of land eligibility analysis (see
-  ``excluder_resolution``).
-
-
-**Breaking Changes**
-
-* The config entry ``snapshots: closed:`` was renamed to ``snapshots:
-  inclusive:`` to address the upstream deprecation with ``pandas=1.4``. The
-  previous setting ``None`` is no longer supported and replaced by ``both``, see
-  the `pandas documentation
-  <https://pandas.pydata.org/docs/reference/api/pandas.date_range.html>`__.
-  Minimum version is now ``pandas>=1.4``.
-
-* The configuration setting ``summary_dir`` was removed.
-
-
-**Changes**
-
-* Configuration defaults to new ``technology-data`` version 0.5.0.
-
-* Fixed CRS warnings when projection of datasets was not specified.
-
-* Cleaned shape unary unions.
-
-* Increased resource requirements for some rules.
-
-* Updated documentation.
-
-* The documentation now uses the ``sphinx_book_theme``.
-
-
-**Bugs and Compatibility**
-
-
-* Bugfix: Corrected extent of natural protection areas in :mod:`build_natura_raster`.
-
-* Bugfix: Use correct load variables for formulating reserve constraints.
-
-* Bugfix: Use all available energy-to-power ratios for hydropower plants.
-
-* Bugfix: The most recent processing of the ``entsoegridkit`` extract required
-  further manual corrections. Also, the connection points of TYNDP links were
-  corrected.
-
-* Bugfix: Handle absence of hydropower inflow in ``EQ`` constraint.
-
-* Compatibility with ``pyomo>=6.4.3`` in :mod:`cluster_network`.
-
-* Upgrade to ``shapely>=2``.
-
-* Updated version of CI cache action to version 3.
-*
-* Updated dependency constraints in ``environment.yaml``.
-
-* Address various deprecation warnings.
-
-
-
-PyPSA-Eur 0.6.1 (20th September 2022)
--------------------------------------
-
-* Individual commits are now tested against pre-commit hooks. This includes
-  black style formatting, sorting of package imports, Snakefile formatting and
-  others. Installation instructions can for the pre-commit can be found `here
-  <https://pre-commit.com/>`__.
-
-* Pre-commit CI is now part of the repository's CI.
-
-* The software now supports running the workflow with different settings within
-  the same directory. A new config section ``run`` was created that specifies
-  under which scenario ``name`` the created resources, networks and results
-  should be stored. If ``name`` is not specified, the workflow uses the default
-  paths. The entry ``shared_cutouts`` specifies whether the run should use
-  cutouts from the default root directory or use run-specific cutouts.
-
-* The heuristic distribution of today's renewable capacity installations is now
-  enabled by default.
-
-* The marginal costs of conventional generators are now taking the plant-specific
-  efficiency into account where available.
-
-PyPSA-Eur 0.6.0 (10th September 2022)
--------------------------------------
-
-* Functionality to consider shipping routes when calculating the available area
-  for offshore technologies were added. Data for the shipping density comes from
-  the `Global Shipping Traffic Density dataset
-  <https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density>`__.
-
-* When transforming all transmission lines to a unified voltage level of 380kV,
-  the workflow now preserves the transmission capacity rather than electrical
-  impedance and reactance.
-
-* Memory resources are now specified for all rules.
-
-* Filtering of power plant data was adjusted to new versions of
-  ``powerplantmatching``.
-
-* The resolution of land exclusion calculation is now a configurable option. See
-  setting ``excluder_resolution``.
-
-
-PyPSA-Eur 0.5.0 (27th July 2022)
---------------------------------
-
-**New Features**
-
-* New network topology extracted from the ENTSO-E interactive map.
-* Added existing renewable capacities for all countries based on IRENA
-  statistics (IRENASTAT) using new ``powerplantmatching`` version:
-* The corresponding ``config`` entries changed from ``estimate_renewable_capacities_from_capacity_stats`` to ``estimate_renewable_capacities``.
-* The estimation is endabled by setting the subkey ``enable`` to ``True``.
-* Configuration of reference year for capacities can be configured (default: ``2020``)
-* The list of renewables provided by the OPSD database can be used as a basis, using the tag ``from_opsd: True``. This adds the renewables from the database and fills up the missing capacities with the heuristic distribution.
-* Uniform expansion limit of renewable build-up based on existing capacities
-  can be configured using ``expansion_limit`` option (default: ``false``;
-  limited to determined renewable potentials)
-* Distribution of country-level capacities proportional to maximum annual
-  energy yield for each bus region
-* The config key ``renewable_capacities_from_OPSD`` is deprecated and was moved
-  under the section, ``estimate_renewable_capacities``. To enable it, set
-  ``from_opsd`` to ``True``.
-
-* Add operational reserve margin constraint analogous to `GenX implementation
-  <https://genxproject.github.io/GenX/dev/core/#Reserves>`__. Can be activated
-  with config setting ``electricity: operational_reserve:``.
-
-* Implement country-specific  Energy Availability Factors (EAFs) for nuclear
-  power plants based on IAEA 2018-2020 reported country averages. These are
-  specified ``data/nuclear_p_max_pu.csv`` and translate to static ``p_max_pu``
-  values.
-
-* Add function to add global constraint on use of gas in :mod:`prepare_network`.
-  This can be activated by including the keyword ``CH4L`` in the ``{opts}``
-  wildcard which enforces the limit set in ``electricity: gaslimit:`` given in
-  MWh thermal. Alternatively, it is possible to append a number in the ``{opts}``
-  wildcard, e.g. ``CH4L200`` which limits the gas use to 200 TWh thermal.
-
-* Add option to alter marginal costs of a carrier through ``{opts}`` wildcard:
-  ``<carrier>+m<factor>``, e.g. ``gas+m2.5``, will multiply the default marginal
-  cost for gas by factor 2.5.
-
-* Hierarchical clustering was introduced. Distance metric is calculated from
-  renewable potentials on hourly (feature entry ends with ``-time``) or annual
-  (feature entry in config end with ``-cap``) values.
-
-* Greedy modularity clustering was introduced. Distance metric is based on electrical distance taking into account the impedance of all transmission lines of the network.
-
-* Techno-economic parameters of technologies (e.g. costs and efficiencies) will
-  now be retrieved from a separate repository `PyPSA/technology-data
-  <https://github.com/pypsa/technology-data>`__ that collects assumptions from a
-  variety of sources. It is activated by default with ``enable:
-  retrieve_cost_data: true`` and controlled with ``costs: year:`` and ``costs:
-  version:``. The location of this data changed from ``data/costs.csv`` to
-  ``resources/costs.csv`` [`#184
-  <https://github.com/PyPSA/pypsa-eur/pull/184>`__].
-
-* A new section ``conventional`` was added to the config file. This section
-  contains configurations for conventional carriers.
-
-* Add configuration option to implement arbitrary generator attributes for
-  conventional generation technologies.
-
-* Add option to set CO2 emission prices through ``{opts}`` wildcard: ``Ep<number>``,
-  e.g. ``Ep180``, will set the EUR/tCO2 price.
-
-**Changes**
-
-* Add an efficiency factor of 88.55% to offshore wind capacity factors as a
-  proxy for wake losses. More rigorous modelling is `planned
-  <https://github.com/PyPSA/pypsa-eur/issues/153>`__ [`#277
-  <https://github.com/PyPSA/pypsa-eur/pull/277>`__].
-
-* Following discussion in `#285
-  <https://github.com/PyPSA/pypsa-eur/issues/285>`__ we have disabled the
-  correction factor for solar PV capacity factors by default while satellite
-  data is used. A correction factor of 0.854337 is recommended if reanalysis
-  data like ERA5 is used.
-
-* The default deployment density of AC- and DC-connected offshore wind capacity
-  is reduced from 3 MW/sqkm to a more conservative estimate of 2 MW/sqkm [`#280
-  <https://github.com/PyPSA/pypsa-eur/pull/280>`__].
-
-* The inclusion of renewable carriers is now specified in the config entry
-  ``renewable_carriers``. Before this was done by commenting/uncommenting
-  sub-sections in the ``renewable`` config section.
-
-* Now, all carriers that should be extendable have to be listed in the config
-  entry ``extendable_carriers``. Before, renewable carriers were always set to
-  be extendable. For backwards compatibility, the workflow is still looking at
-  the listed carriers under the ``renewable`` key. In the future, all of them
-  have to be listed under ``extendable_carriers``.
-
-* It is now possible to set conventional power plants as extendable by adding
-  them to the list of extendable ``Generator`` carriers in the config.
-
-* Listing conventional carriers in ``extendable_carriers`` but not in
-  ``conventional_carriers``, sets the corresponding conventional power plants as
-  extendable without a lower capacity bound of today's capacities.
-
-* Now, conventional carriers have an assigned capital cost by default.
-
-* The ``build_year`` and ``lifetime`` column are now defined for conventional
-  power plants.
-
-* Use updated SARAH-2 and ERA5 cutouts with slightly wider scope to east and
-  additional variables.
-
-* Resource definitions for memory usage now follow `Snakemake standard resource
-  definition
-  <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#standard-resources>`__
-  ``mem_mb`` rather than ``mem``.
-
-* The powerplants that have been shut down by 2021 are filtered out.
-
-* Updated historical `EIA hydro generation data <https://www.eia.gov/international/data/world>`__.
-
-* Network building is made deterministic by supplying a fixed random state to
-  network clustering routines.
-
-* Clustering strategies for generator and bus attributes can now be specified directly in the ``config/config.yaml``.
-
-* Iterative solving with impedance updates is skipped if there are no expandable
-  lines.
-
-* The unused argument ``simple_hvdc_costs`` in :mod:`add_electricity` was
-  removed.
-
-* Switch from Germany to Belgium for continuous integration and tutorial to save
-  resources.
-
-* It is now possible to skip the progressbar for land eligibility calculations for additional speedup.
-
-**Bugs and Compatibility**
-
-* Fix crs bug. Change crs 4236 to 4326.
-
-* ``powerplantmatching>=0.5.1`` is now required for ``IRENASTATS``.
-
-* Update rasterio version to correctly calculate exclusion raster.
-
-* It is now possible to run the workflow with only landlocked countries.
-
-* Bugfixes for manual load adjustments across years.
-
-* Enable parallel computing with new dask version.
-
-* Restore compatibility of ``mock_snakemake`` with latest Snakemake versions.
-
-* Script ``build_bus_regions``: move voronoi partition from vresutils to script.
-
-* Script ``add_electricity``: remove ``vresutils.costdata.annuity`` dependency.
-
-* Fix the plot_network snakemake rule.
-
-* Compatibility with pandas 1.4. Address deprecations.
-
-* Restore Windows compatibility by using ``shutil.move`` rather than ``mv``.
-
-
-Synchronisation Release - Ukraine and Moldova (17th March 2022)
----------------------------------------------------------------
-
-On March 16, 2022, the transmission networks of Ukraine and Moldova have
-successfully been `synchronised with the continental European grid <https://www.entsoe.eu/news/2022/03/16/continental-europe-successful-synchronisation-with-ukraine-and-moldova-power-systems/>`__. We have taken
-this as an opportunity to add the power systems of Ukraine and Moldova to
-PyPSA-Eur. This includes:
-
-.. image:: img/synchronisation.png
-  :width: 500
-
-* the transmission network topology from the `ENTSO-E interactive map <https://www.entsoe.eu/data/map/>`__.
-
-* existing power plants (incl. nuclear, coal, gas and hydro) from the `powerplantmatching <https://github.com/fresna/powerplantmatching>`__ tool
-
-* country-level load time series from ENTSO-E through the `OPSD platform <https://data.open-power-system-data.org/time_series/2020-10-06>`__, which are then distributed heuristically to substations by GDP and population density.
-
-* wind and solar profiles based on ERA5 and SARAH-2 weather data
-
-* hydro profiles based on historical `EIA generation data <https://www.eia.gov/international/data/world>`__
-
-* a simplified calculation of wind and solar potentials based on the `Copernicus Land Cover dataset <https://land.copernicus.eu/global/products/lc>`__.
-
-* electrical characteristics of 750 kV transmission lines
-
-The Crimean power system is currently disconnected from the main Ukrainian grid and, hence, not included.
-
-This release is not on the ``master`` branch. It can be used with
-
-.. code-block:: bash
-
-  git clone https://github.com/pypsa/pypsa-eur
-  git checkout synchronisation-release
-
-
-PyPSA-Eur 0.4.0 (22th September 2021)
--------------------------------------
-
-**New Features and Changes**
-
-* With this release, we change the license from copyleft GPLv3 to the more
-  liberal MIT license with the consent of all contributors
-  [`#276 <https://github.com/PyPSA/pypsa-eur/pull/276>`__].
-
-* Switch to the new major ``atlite`` release v0.2.  The version upgrade comes
-  along with significant speed up for the rule ``build_renewable_profiles.py``
-  (~factor 2). A lot of the code which calculated the land-use availability is now
-  outsourced and does not rely on ``glaes``, ``geokit`` anymore. This facilitates
-  the environment building and version compatibility of ``gdal``, ``libgdal`` with
-  other packages [`#224 <https://github.com/PyPSA/pypsa-eur/pull/224>`__].
-
-* Implemented changes to ``n.snapshot_weightings`` in new PyPSA version v0.18
-  (cf. `PyPSA/PyPSA/#227 <https://github.com/PyPSA/PyPSA/pull/227>`__)
-  [`#259 <https://github.com/PyPSA/pypsa-eur/pull/259>`__].
-
-* Add option to pre-aggregate nodes without power injections (positive or
-  negative, i.e. generation or demand) to electrically closest nodes or neighbors
-  in ``simplify_network``. Defaults to ``False``. This affects nodes that are no
-  substations or have no offshore connection.
-
-* In :mod:`simplify_network`, bus columns with no longer correct entries are
-  removed (symbol, tags, under_construction, substation_lv, substation_off)
-  [`#219 <https://github.com/PyPSA/pypsa-eur/pull/219>`__]
-
-* Add option to include marginal costs of links representing fuel cells,
-  electrolysis, and battery inverters
-  [`#232 <https://github.com/PyPSA/pypsa-eur/pull/232>`__].
-
-* The rule and script ``build_country_flh`` are removed as they are no longer
-  used or maintained.
-
-* The connection cost of generators in :mod:`simplify_network` are now reported
-  in ``resources/connection_costs_s{simpl}.csv``
-  [`#261 <https://github.com/PyPSA/pypsa-eur/pull/261>`__].
-
-* The tutorial cutout was renamed from ``cutouts/europe-2013-era5.nc`` to
-  ``cutouts/be-03-2013-era5.nc`` to accommodate tutorial and productive
-  cutouts side-by-side.
-
-* The flag ``keep_all_available_areas`` in the configuration for renewable
-  potentials was deprecated and now defaults to ``True``.
-
-* Update dependencies in ``envs/environment.yaml``
-  [`#257 <https://github.com/PyPSA/pypsa-eur/pull/257>`__]
-
-* Continuous integration testing switches to Github Actions from Travis CI
-  [`#252 <https://github.com/PyPSA/pypsa-eur/pull/252>`__].
-
-* Documentation on readthedocs.io is now built with ``pip`` only and no longer
-  requires ``conda`` [`#267 <https://github.com/PyPSA/pypsa-eur/pull/267>`__].
-
-* Use ``Citation.cff`` [`#273 <https://github.com/PyPSA/pypsa-eur/pull/273>`__].
-
-**Bugs and Compatibility**
-
-
-* Support for PyPSA v0.18 [`#268 <https://github.com/PyPSA/pypsa-eur/pull/268>`__].
-
-* Minimum Python version set to ``3.8``.
-
-* Removed ``six`` dependency [`#245 <https://github.com/PyPSA/pypsa-eur/pull/245>`__].
-
-* Update :mod:`plot_network` and :mod:`make_summary` rules to latest PyPSA
-  versions  [`#270 <https://github.com/PyPSA/pypsa-eur/pull/270>`__].
-
-* Keep converter links to store components when using the ``ATK``
-  wildcard and only remove DC links [`#214 <https://github.com/PyPSA/pypsa-eur/pull/214>`__].
-
-* Value for ``co2base`` in ``config.yaml`` adjusted to 1.487e9 t CO2-eq
-  (from 3.1e9 t CO2-eq). The new value represents emissions related to the
-  electricity sector for EU+UK+Balkan. The old value was too high and used when
-  the emissions wildcard in ``{opts}`` was used
-  [`#233 <https://github.com/PyPSA/pypsa-eur/pull/233>`__].
-
-* Add escape in :mod:`base_network` if all TYNDP links are already
-  contained in the network
-  [`#246 <https://github.com/PyPSA/pypsa-eur/pull/246>`__].
-
-* In :mod:`solve_operations_network` the optimised capacities are now
-  fixed for all extendable links, not only HVDC links
-  [`#244 <https://github.com/PyPSA/pypsa-eur/pull/244>`__].
-
-* The ``focus_weights`` are now also considered when pre-clustering in
-  the :mod:`simplify_network` rule
-  [`#241 <https://github.com/PyPSA/pypsa-eur/pull/241>`__].
-
-* in :mod:`build_renewable_profile` where offshore wind profiles could
-  no longer be created [`#249 <https://github.com/PyPSA/pypsa-eur/pull/249>`__].
-
-* Lower expansion limit of extendable carriers is now set to the
-  existing capacity, i.e. ``p_nom_min = p_nom`` (0 before). Simultaneously, the
-  upper limit (``p_nom_max``) is now the maximum of the installed capacity
-  (``p_nom``) and the previous estimate based on land availability (``p_nom_max``)
-  [`#260 <https://github.com/PyPSA/pypsa-eur/pull/260>`__].
-
-* Solving an operations network now includes optimized store capacities
-  as well. Before only lines, links, generators and storage units were considered
-  [`#269 <https://github.com/PyPSA/pypsa-eur/pull/269>`__].
-
-* With ``load_shedding: true`` in the solving options of ``config.yaml``
-  load shedding generators are only added at the AC buses, excluding buses for H2
-  and battery stores [`#269 <https://github.com/PyPSA/pypsa-eur/pull/269>`__].
-
-* Delete duplicated capital costs at battery discharge link
-  [`#240 <https://github.com/PyPSA/pypsa-eur/pull/240>`__].
-
-* Propagate the solver log file name to the solver. Previously, the
-  PyPSA network solving functions were not told about the solver logfile specified
-  in the Snakemake file [`#247 <https://github.com/PyPSA/pypsa-eur/pull/247>`__]
-
-PyPSA-Eur 0.3.0 (7th December 2020)
------------------------------------
-
-**New Features**
-
-Using the ``{opts}`` wildcard for scenario:
-
-* An option is introduced which adds constraints such that each country or node produces on average a minimal share of its total consumption itself.
-  For example ``EQ0.5c`` set in the ``{opts}`` wildcard requires each country to produce on average at least 50% of its consumption. Additionally,
-  the option ``ATK`` requires autarky at each node and removes all means of power transmission through lines and links. ``ATKc`` only removes
-  cross-border transfer capacities.
-  [`#166 <https://github.com/PyPSA/pypsa-eur/pull/166>`__].
-
-* Added an option to alter the capital cost (``c``) or installable potentials (``p``) of carriers by a factor via ``carrier+{c,p}factor`` in the ``{opts}`` wildcard.
-  This can be useful for exploring uncertain cost parameters.
-  Example: ``solar+c0.5`` reduces the capital cost of solar to 50% of original values
-  [`#167 <https://github.com/PyPSA/pypsa-eur/pull/167>`__, `#207 <https://github.com/PyPSA/pypsa-eur/pull/207>`__].
-
-* Added an option to the ``{opts}`` wildcard that applies a time series segmentation algorithm based on renewables, hydro inflow and load time series
-  to produce a given total number of adjacent snapshots of varying lengths.
-  This feature is an alternative to downsampling the temporal resolution by simply averaging and
-  uses the `tsam <https://tsam.readthedocs.io/en/latest/index.html>`__ package
-  [`#186 <https://github.com/PyPSA/pypsa-eur/pull/186>`__].
-
-
-More OPSD integration:
-
-* Add renewable power plants from `OPSD <https://data.open-power-system-data.org/renewable_power_plants/2020-08-25>`__ to the network for specified technologies.
-  This will overwrite the capacities calculated from the heuristic approach in :func:`estimate_renewable_capacities()`
-  [`#212 <https://github.com/PyPSA/pypsa-eur/pull/212>`__].
-
-* Electricity consumption data is now retrieved directly from the `OPSD website <https://data.open-power-system-data.org/time_series/2019-06-05>`__ using the rule :mod:`build_electricity_demand`.
-  The user can decide whether to take the ENTSO-E power statistics data (default) or the ENTSO-E transparency data
-  [`#211 <https://github.com/PyPSA/pypsa-eur/pull/211>`__].
-
-Other:
-
-* Added an option to use custom busmaps in rule :mod:`cluster_network`. To use this feature set ``enable: custom_busmap: true``.
-  Then, the rule looks for custom busmaps at ``data/custom_busmap_elec_s{simpl}_{clusters}.csv``,
-  which should have the same format as ``resources/busmap_elec_s{simpl}_{clusters}.csv``.
-  i.e. the index should contain the buses of ``networks/elec_s{simpl}.nc``
-  [`#193 <https://github.com/PyPSA/pypsa-eur/pull/193>`__].
-
-* Line and link capacities can be capped in the ``config.yaml`` at ``lines: s_nom_max:`` and ``links: p_nom_max``:
-  [`#166 <https://github.com/PyPSA/pypsa-eur/pull/166>`__].
-
-* Added Google Cloud Platform tutorial (for Windows users)
-  [`#177 <https://github.com/PyPSA/pypsa-eur/pull/177>`__].
-
-**Changes**
-
-* Don't remove capital costs from lines and links, when imposing a line volume limit (``lv``) or a line cost limit (``lc``).
-  Previously, these were removed to move the expansion in direction of the limit
-  [`#183 <https://github.com/PyPSA/pypsa-eur/pull/183>`__].
-
-* The mappings for clustered lines and buses produced by the :mod:`simplify_network` and :mod:`cluster_network` rules
-  changed from Hierarchical Data Format (``.h5``) to Comma-Separated Values format (``.csv``) for ease of use.
-  [`#198 <https://github.com/PyPSA/pypsa-eur/pull/198>`__]
-
-* The N-1 security margin for transmission lines is now fixed to a provided value in ``config.yaml``,
-  removing an undocumented linear interpolation between 0.5 and 0.7 in the range between 37 and 200 nodes.
-  [`#199 <https://github.com/PyPSA/pypsa-eur/pull/199>`__].
-
-* Modelling hydrogen and battery storage with Store and Link components is now the default,
-  rather than using StorageUnit components with fixed power-to-energy ratio
-  [`#205 <https://github.com/PyPSA/pypsa-eur/pull/205>`__].
-
-* Use ``mamba`` (https://github.com/mamba-org/mamba) for faster Travis CI builds
-  [`#196 <https://github.com/PyPSA/pypsa-eur/pull/196>`__].
-
-* Multiple smaller changes: Removed unused ``{network}`` wildcard, moved environment files to dedicated ``envs`` folder,
-  removed sector-coupling components from configuration files, updated documentation colors, minor refactoring and code cleaning
-  [`#190 <https://github.com/PyPSA/pypsa-eur/pull 190>`__].
-
-**Bugs and Compatibility**
-
-* Add compatibility for pyomo 5.7.0 in :mod:`cluster_network` and :mod:`simplify_network`
-  [`#172 <https://github.com/PyPSA/pypsa-eur/pull/172>`__].
-
-* Fixed a bug for storage units such that individual store and dispatch efficiencies are correctly taken account of rather than only their round-trip efficiencies.
-  In the cost database (``data/costs.csv``) the efficiency of battery inverters should be stated as per discharge/charge rather than per roundtrip
-  [`#202 <https://github.com/PyPSA/pypsa-eur/pull/202>`__].
-
-* Corrected exogenous emission price setting (in ``config: cost: emission price:``),
-  which now correctly accounts for the efficiency and effective emission of the generators
-  [`#171 <https://github.com/PyPSA/pypsa-eur/pull/171>`__].
-
-* Corrected HVDC link connections (a) between Norway and Denmark and (b) mainland Italy, Corsica (FR) and Sardinia (IT)
-  as well as for East-Western and Anglo-Scottish interconnectors
-  [`#181 <https://github.com/PyPSA/pypsa-eur/pull/181>`__, `#206 <https://github.com/PyPSA/pypsa-eur/pull/206>`__].
-
-* Fix bug of clustering ``offwind-{ac,dc}`` generators in the option of high-resolution generators for renewables.
-  Now, there are more sites for ``offwind-{ac,dc}`` available than network nodes.
-  Before, they were clustered to the resolution of the network (``elec_s1024_37m.nc``: 37 network nodes, 1024 generators)
-  [`#191 <https://github.com/PyPSA/pypsa-eur/pull/191>`__].
-
-* Raise a warning if ``tech_colors`` in the config are not defined for all carriers
-  [`#178 <https://github.com/PyPSA/pypsa-eur/pull/178>`__].
-
-
-PyPSA-Eur 0.2.0 (8th June 2020)
--------------------------------
-
-* The optimization is now performed using the ``pyomo=False`` setting in the :func:`pypsa.lopf.network_lopf`. This speeds up the solving process significantly and consumes much less memory. The inclusion of additional constraints were adjusted to the new implementation. They are all passed to the :func:`network_lopf` function via the ``extra_functionality`` argument. The rule ``trace_solve_network`` was integrated into the rule :mod:`solve_network` and can be activated via configuration with ``solving: options: track_iterations: true``. The charging and discharging capacities of batteries modelled as store-link combination are now coupled [`#116 <https://github.com/PyPSA/pypsa-eur/pull/116>`__].
-
-* An updated extract of the `ENTSO-E Transmission System Map <https://www.entsoe.eu/data/map/>`__ (including Malta) was added to the repository using the `GridKit <https://github.com/PyPSA/GridKit>`__ tool. This tool has been updated to retrieve up-to-date map extracts using a single `script <https://github.com/PyPSA/GridKit/blob/master/entsoe/runall_in_docker.sh>`__. The update extract features 5322 buses, 6574 lines, 46 links. [`#118 <https://github.com/PyPSA/pypsa-eur/pull/118>`__].
-
-* Added `FSFE REUSE <https://reuse.software>`__ compliant license information. Documentation now licensed under CC-BY-4.0 [`#160 <https://github.com/PyPSA/pypsa-eur/pull/160>`__].
-
-* Added a 30 minute `video introduction <https://pypsa-eur.readthedocs.io/en/latest/introduction.html>`__ and a 20 minute `video tutorial <https://pypsa-eur.readthedocs.io/en/latest/tutorial.html>`__
-
-* Networks now store a color and a nicely formatted name for each carrier, accessible via ``n.carrier['color']`` and ``n.carrier['nice_name'] ``(networks after ``elec.nc``).
-
-* Added an option to skip iterative solving usually performed to update the line impedances of expanded lines at ``solving: options: skip_iterations:``.
-
-* ``snakemake`` rules for retrieving cutouts and the natura raster can now be disabled independently from their respective rules to build them; via ``config.*yaml`` [`#136 <https://github.com/PyPSA/pypsa-eur/pull/136>`__].
-
-* Removed the ``id`` column for custom power plants in ``data/custom_powerplants.csv`` to avoid custom power plants with conflicting ids getting attached to the wrong bus [`#131 <https://github.com/PyPSA/pypsa-eur/pull/131>`__].
-
-* Add option ``renewables: {carrier}: keep_all_available_areas:`` to use all available weather cells for renewable profile and potential generation. The default ignores weather cells where only less than 1 MW can be installed  [`#150 <https://github.com/PyPSA/pypsa-eur/pull/150>`__].
-
-* Added a function ``_helpers.load_network()`` which loads a network with overridden components specified in ``snakemake.config['override_components']`` [`#128 <https://github.com/PyPSA/pypsa-eur/pull/128>`__].
-
-* Bugfix in  :mod:`base_network` which now finds all closest links, not only the first entry [`#143 <https://github.com/PyPSA/pypsa-eur/pull/143>`__].
-
-* Bugfix in :mod:`cluster_network` which now skips recalculation of link parameters if there are no links  [`#149 <https://github.com/PyPSA/pypsa-eur/pull/149>`__].
-
-* Added information on pull requests to contribution guidelines [`#151 <https://github.com/PyPSA/pypsa-eur/pull/151>`__].
-
-* Improved documentation on open-source solver setup and added usage warnings.
-
-* Updated ``conda`` environment regarding ``pypsa``, ``pyproj``, ``gurobi``, ``lxml``. This release requires PyPSA v0.17.0.
-
-PyPSA-Eur 0.1.0 (9th January 2020)
-----------------------------------
-
-This is the first release of PyPSA-Eur, a model of the European power system at the transmission network level. Recent changes include:
-
-* Documentation on installation, workflows and configuration settings is now available online at `pypsa-eur.readthedocs.io <pypsa-eur.readthedocs.io>`__ [`#65 <https://github.com/PyPSA/pypsa-eur/pull/65>`__].
-
-* The ``conda`` environment files were updated and extended [`#81 <https://github.com/PyPSA/pypsa-eur/pull/81>`__].
-
-* The power plant database was updated with extensive filtering options via ``pandas.query`` functionality [`#84 <https://github.com/PyPSA/pypsa-eur/pull/84>`__ and `#94 <https://github.com/PyPSA/pypsa-eur/pull/94>`__].
-
-* Continuous integration testing with `Travis CI <https://travis-ci.org>`__ is now included for Linux, Mac and Windows [`#82 <https://github.com/PyPSA/pypsa-eur/pull/82>`__].
-
-* Data dependencies were moved to `zenodo <https://zenodo.org/>`__ and are now versioned [`#60 <https://github.com/PyPSA/pypsa-eur/issues/60>`__].
-
-* Data dependencies are now retrieved directly from within the snakemake workflow [`#86 <https://github.com/PyPSA/pypsa-eur/pull/86>`__].
-
-* Emission prices can be added to marginal costs of generators through the keywords ``Ep`` in the ``{opts}`` wildcard [`#100 <https://github.com/PyPSA/pypsa-eur/pull/100>`__].
-
-* An option is introduced to add extendable nuclear power plants to the network [`#98 <https://github.com/PyPSA/pypsa-eur/pull/98>`__].
-
-* Focus weights can now be specified for particular countries for the network clustering, which allows to set a proportion of the total number of clusters for particular countries [`#87 <https://github.com/PyPSA/pypsa-eur/pull/87>`__].
-
-* A new rule :mod:`add_extra_components` allows to add additional components to the network only after clustering. It is thereby possible to model storage units (e.g. battery and hydrogen) in more detail via a combination of ``Store``, ``Link`` and ``Bus`` elements [`#97 <https://github.com/PyPSA/pypsa-eur/pull/97>`__].
-
-* Hydrogen pipelines (including cost assumptions) can now be added alongside clustered network connections in the rule :mod:`add_extra_components` . Set ``electricity: extendable_carriers: Link: [H2 pipeline]`` and ensure hydrogen storage is modelled as a ``Store``. This is a first simplified stage [`#108 <https://github.com/PyPSA/pypsa-eur/pull/108>`__].
-
-* Logfiles for all rules of the ``snakemake`` workflow are now written in the folder ``log/`` [`#102 <https://github.com/PyPSA/pypsa-eur/pull/102>`__].
-
-* The new function ``_helpers.mock_snakemake`` creates a ``snakemake`` object which mimics the actual ``snakemake`` object produced by workflow by parsing the ``Snakefile`` and setting all paths for inputs, outputs, and logs. This allows running all scripts within a (I)python terminal (or just by calling ``python <script-name>``) and thereby facilitates developing and debugging scripts significantly [`#107 <https://github.com/PyPSA/pypsa-eur/pull/107>`__].
-
-
-PyPSA-Eur-Sec Releases (pre-merge)
-==================================
-
-PyPSA-Eur-Sec 0.7.0 (16th February 2023)
-----------------------------------------
-
-This release includes many new features. Highlights include new gas
-infrastructure data with retrofitting options for hydrogen transport, improved
-carbon management and infrastructure planning, regionalised potentials for
-hydrogen underground storage and carbon sequestration, new applications for
-biomass, and explicit modelling of methanol and ammonia as separate energy
-carriers.
-
-This release is known to work with `PyPSA-Eur
-<https://github.com/PyPSA/pypsa-eur>`__ Version 0.7.0 and `Technology Data
-<https://github.com/PyPSA/technology-data>`__ Version 0.5.0.
-
-**Gas Transmission Network**
-
-* New rule ``retrieve_gas_infrastructure_data`` that downloads and extracts the
-  SciGRID_gas `IGGIELGN <https://zenodo.org/records/4767098>`__ dataset from
-  zenodo. It includes data on the transmission routes, pipe diameters,
-  capacities, pressure, and whether the pipeline is bidirectional and carries
-  H-Gas or L-Gas.
-
-* New rule ``build_gas_network`` processes and cleans the pipeline data from
-  SciGRID_gas. Missing or uncertain pipeline capacities can be inferred by
-  diameter.
-
-* New rule ``build_gas_input_locations`` compiles the LNG import capacities
-  (from the Global Energy Monitor's `Europe Gas Tracker
-  <https://globalenergymonitor.org/projects/europe-gas-tracker/>`__, pipeline
-  entry capacities and local production capacities for each region of the model.
-  These are the regions where fossil gas can eventually enter the model.
-
-* New rule ``cluster_gas_network`` that clusters the gas transmission network
-  data to the model resolution. Cross-regional pipeline capacities are
-  aggregated (while pressure and diameter compatibility is ignored),
-  intra-regional pipelines are dropped. Lengths are recalculated based on the
-  regions' centroids.
-
-* With the option ``sector: gas_network:``, the existing gas network is added
-  with a lossless transport model. A length-weighted `k-edge augmentation
-  algorithm
-  <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`__
-  can be run to add new candidate gas pipelines such that all regions of the
-  model can be connected to the gas network. The number of candidates can be
-  controlled via the setting ``sector: gas_network_connectivity_upgrade:``. When
-  the gas network is activated, all the gas demands are regionally disaggregated
-  as well.
-
-* New constraint allows endogenous retrofitting of gas pipelines to hydrogen
-  pipelines. This option is activated via the setting ``sector: H2_retrofit:``.
-  For every unit of gas pipeline capacity dismantled, ``sector:
-  H2_retrofit_capacity_per_CH4`` units are made available as hydrogen pipeline
-  capacity in the corresponding corridor. These repurposed hydrogen pipelines
-  have lower costs than new hydrogen pipelines. Both new and repurposed
-  pipelines can be built simultaneously. The retrofitting option ``sector:
-  H2_retrofit:`` also works with a copperplated methane infrastructure, i.e.
-  when ``sector: gas_network: false``.
-
-* New hydrogen pipelines can now be built where there are already power or gas
-  transmission routes. Previously, only the electricity transmission routes were
-  considered.
-
-**Carbon Management and Biomass**
-
-* Add option to spatially resolve carrier representing stored carbon dioxide
-  (``co2_spatial``). This allows for more detailed modelling of CCUTS, e.g.
-  regarding the capturing of industrial process emissions, usage as feedstock
-  for electrofuels, transport of carbon dioxide, and geological sequestration
-  sites.
-
-* Add option for regionally-resolved geological carbon dioxide sequestration
-  potentials through new rule ``build_sequestration_potentials`` based on
-  `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`__. This
-  can be controlled in the section ``regional_co2_sequestration_potential`` of
-  the ``config.yaml``. It includes options to select the level of conservatism,
-  whether onshore potentials should be included, the respective upper and lower
-  limits per region, and an annualisation parameter for the cumulative
-  potential. The defaults are preliminary and will be validated the next
-  release.
-
-* Add option to sweep the global CO2 sequestration potentials with keyword
-  ``seq200`` in the ``{sector_opts}`` wildcard (for limit of 200 Mt CO2).
-
-* Add option to include `Allam cycle gas power plants
-  <https://en.wikipedia.org/wiki/Allam_power_cycle>`__ (``allam_cycle``).
-
-* Add option for planning a new carbon dioxide network (``co2network``).
-
-* Separate option to regionally resolve biomass (``biomass_spatial``) from
-  option to allow biomass transport (``biomass_transport``).
-
-* Add option for biomass boilers (wood pellets) for decentral heating.
-
-* Add option for BioSNG (methane from biomass) with and without carbon capture.
-
-* Add option for BtL (biomass to liquid fuel/oil) with and without carbon
-  capture.
-
-
-**Other new features**
-
-* Add regionalised hydrogen salt cavern storage potentials from `Technical
-  Potential of Salt Caverns for Hydrogen Storage in Europe
-  <https://doi.org/10.20944/preprints201910.0187.v1>`__. This data is compiled in
-  a new rule ``build_salt_cavern_potentials``.
-
-* Add option to resolve ammonia as separate energy carrier with Haber-Bosch
-  synthesis, ammonia cracking, storage and industrial demand. The ammonia
-  carrier can be nodally resolved or copperplated across Europe (see
-  ``ammonia``).
-
-* Add methanol as energy carrier, methanolisation as process, and option for
-  methanol demand in shipping sector.
-
-* Shipping demand now defaults to methanol rather than liquefied hydrogen
-  until 2050.
-
-* Demand for liquid hydrogen in international shipping is now geographically
-  distributed by port trade volumes in a new rule ``build_shipping_demand``
-  using data from the `World Bank Data Catalogue
-  <https://datacatalog.worldbank.org/search/dataset/0038118/Global---International-Ports>`__.
-  Domestic shipping remains distributed by population.
-
-* Add option to aggregate network temporally using representative snapshots or
-  segments (with `tsam <https://github.com/FZJ-IEK3-VSA/tsam>`__).
-
-* Add option for minimum part load for Fischer-Tropsch plants (default: 90%) and
-  methanolisation plants (default: 50%).
-
-* Add option to use waste heat of electrolysis in district heating networks
-  (``use_electrolysis_waste_heat``).
-
-* Add option for coal CHPs with carbon capture (see ``coal_cc``).
-
-* In overnight optimisation, it is now possible to specify a year for the
-  technology cost projections separate from the planning horizon.
-
-* New config options for changing energy demands in aviation
-  (``aviation_demand_factor``) and HVC industry (``HVC_demand_factor``), as well
-  as explicit ICE shares for land transport (``land_transport_ice_share``) and
-  agriculture machinery (``agriculture_machinery_oil_share``).
-
-* It is now possible to merge residential and services heat buses to reduce the
-  problem size (see ``cluster_heat_nodes``).
-
-* Added option to tweak (almost) any configuration parameter through the
-  ``{sector_opts}`` wildcard. The regional_co2_sequestration_potential is
-  triggered by the prefix ``CF+`` after which it is possible to pipe to any
-  setting that does not contain underscores (``_``). Example:
-  ``CF+sector+v2g+false`` disables vehicle-to-grid flexibility.
-
-* Option ``retrieve_sector_databundle`` to automatically retrieve and extract
-  data bundle.
-
-* Removed the need to clone ``technology-data`` repository in a parallel
-  directory. The new approach automatically retrieves the technology data from
-  remote in the rule ``retrieve_cost_data``.
-
-* Improved network plots including better legends, hydrogen retrofitting network
-  display, and change to EqualEarth projection. A new color scheme for
-  technologies was also introduced.
-
-* Add two new rules ``build_transport_demand`` and
-  ``build_population_weighted_energy_totals`` using code previously contained in
-  ``prepare_sector_network``.
-
-* Rules that convert weather data with ``atlite`` now largely run separately for
-  categories residential, rural and total.
-
-* Units are assigned to the buses. These only provide a better understanding.
-  The specifications of the units are not taken into account in the
-  optimisation, which means that no automatic conversion of units takes place.
-
-* Configuration file and wildcards are now stored under ``n.meta`` in every
-  PyPSA network.
-
-* Updated `data bundle
-  <https://zenodo.org/records/5824485/files/pypsa-eur-sec-data-bundle.tar.gz>`__
-  that includes the hydrogan salt cavern storage potentials.
-
-* Updated and extended documentation in
-  <https://pypsa-eur-sec.readthedocs.io/en/latest/>
-
-* Added new rule ``copy_conda_env`` that exports a list of packages with which
-  the workflow was executed.
-
-* Add basic continuous integration using Github Actions.
-
-* Add basic ``rsync`` setup.
-
-**Bugfixes**
-
-* The CO2 sequestration limit implemented as GlobalConstraint (introduced in the
-  previous version) caused a failure to read in the shadow prices of other
-  global constraints.
-
-* Correct capital cost of Fischer-Tropsch according to new units in
-  ``technology-data`` repository.
-
-* Fix unit conversion error for thermal energy storage.
-
-* For myopic pathway optimisation, set optimised capacities of power grid
-  expansion of previous iteration as minimum capacity for next iteration.
-
-* Further rather minor bugfixes for myopic optimisation code (see `#256
-  <https://github.com/PyPSA/pypsa-eur-sec/pull/256>`__).
-
-
-Many thanks to all who contributed to this release!
-
-
-PyPSA-Eur-Sec 0.6.0 (4 October 2021)
-------------------------------------
-
-This release includes
-improvements regarding the basic chemical production,
-the addition of plastics recycling,
-the addition of the agriculture, forestry and fishing sector,
-more regionally resolved biomass potentials,
-CO2 pipeline transport and storage, and
-more options in setting exogenous transition paths,
-besides many performance improvements.
-
-This release is known to work with `PyPSA-Eur
-<https://github.com/PyPSA/pypsa-eur>`__ Version 0.4.0, `Technology Data
-<https://github.com/PyPSA/technology-data>`__ Version 0.3.0 and
-`PyPSA <https://github.com/PyPSA/PyPSA>`__ Version 0.18.0.
-
-Please note that the data bundle has also been updated.
-
-
-**General**
-
-* With this release, we change the license from copyleft GPLv3 to the more
-  liberal MIT license with the consent of all contributors.
-
-
-**New features and functionality**
-
-* Distinguish costs for home battery storage and inverter from utility-scale
-  battery costs.
-
-* Separate basic chemicals into HVC (high-value chemicals), chlorine, methanol and ammonia
-  [`#166 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166>`__].
-
-* Add option to specify reuse, primary production, and mechanical and chemical
-  recycling fraction of platics
-  [`#166 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/166>`__].
-
-* Include energy demands and CO2 emissions for the agriculture, forestry and fishing sector.
-  It is included by default through the option ``A`` in the ``sector_opts`` wildcard.
-  Part of the emissions (1.A.4.c) was previously assigned to "industry non-elec" in the ``co2_totals.csv``.
-  Hence, excluding the agriculture sector will now lead to a tighter CO2 limit.
-  Energy demands are taken from the JRC IDEES database (missing countries filled with eurostat data)
-  and are split into
-  electricity (lighting, ventilation, specific electricity uses, pumping devices (electric)),
-  heat (specific heat uses, low enthalpy heat)
-  machinery oil (motor drives, farming machine drives, pumping devices (diesel)).
-  Heat demand is assigned at "services rural heat" buses.
-  Electricity demands are added to low-voltage buses.
-  Time series for demands are constant and distributed inside countries by population
-  [`#147 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/147>`__].
-
-* Include today's district heating shares in myopic optimisation and add option
-  to specify exogenous path for district heating share increase under ``sector:
-  district_heating:`` [`#149 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/149>`__].
-
-* Added option for hydrogen liquefaction costs for hydrogen demand in shipping.
-  This introduces a new ``H2 liquid`` bus at each location. It is activated via
-  ``sector: shipping_hydrogen_liquefaction: true``.
-
-* The share of shipping transformed into hydrogen fuel cell can be now defined
-  for different years in the ``config.yaml`` file. The carbon emission from the
-  remaining share is treated as a negative load on the atmospheric carbon dioxide
-  bus, just like aviation and land transport emissions.
-
-* The transformation of the Steel and Aluminium production can be now defined
-  for different years in the ``config.yaml`` file.
-
-* Include the option to alter the maximum energy capacity of a store via the
-  ``carrier+factor`` in the ``{sector_opts}`` wildcard. This can be useful for
-  sensitivity analyses. Example: ``co2 stored+e2`` multiplies the ``e_nom_max`` by
-  factor 2. In this example, ``e_nom_max`` represents the CO2 sequestration
-  potential in Europe.
-
-* Use `JRC ENSPRESO database <https://data.jrc.ec.europa.eu/dataset/74ed5a04-7d74-4807-9eab-b94774309d9f>`__ to
-  spatially disaggregate biomass potentials to PyPSA-Eur regions based on
-  overlaps with NUTS2 regions from ENSPRESO (proportional to area) (`#151
-  <https://github.com/PyPSA/pypsa-eur-sec/pull/151>`__).
-
-* Add option to regionally disaggregate biomass potential to individual nodes
-  (previously given per country, then distributed by population density within)
-  and allow the transport of solid biomass. The transport costs are determined
-  based on the `JRC-EU-Times Bioenergy report
-  <http://dx.doi.org/10.2790/01017>`__ in the new optional rule
-  ``build_biomass_transport_costs``. Biomass transport can be activated with the
-  setting ``sector: biomass_transport: true``.
-
-* Add option to regionally resolve CO2 storage and add CO2 pipeline transport
-  because geological storage potential,
-  CO2 utilisation sites and CO2 capture sites may be separated. The CO2 network
-  is built from zero based on the topology of the electricity grid (greenfield).
-  Pipelines are assumed to be bidirectional and lossless. Furthermore, neither
-  retrofitting of natural gas pipelines (required pressures are too high, 80-160
-  bar vs <80 bar) nor other modes of CO2 transport (by ship, road or rail) are
-  considered. The regional representation of CO2 is activated with the config
-  setting ``sector: co2_network: true`` but is deactivated by default. The
-  global limit for CO2 sequestration now applies to the sum of all CO2 stores
-  via an ``extra_functionality`` constraint.
-
-* The myopic option can now be used together with different clustering for the
-  generators and the network. The existing renewable capacities are split evenly
-  among the regions in every country [`#144 <https://github.com/PyPSA/PyPSA-Eur-Sec/pull/144>`__].
-
-* Add optional function to use ``geopy`` to locate entries of the Hotmaps
-  database of industrial sites with missing location based on city and country,
-  which reduces missing entries by half. It can be activated by setting
-  ``industry: hotmaps_locate_missing: true``, takes a few minutes longer, and
-  should only be used if spatial resolution is coarser than city level.
-
-
-**Performance and Structure**
-
-* Extended use of ``multiprocessing`` for much better performance
-  (from up to 20 minutes to less than one minute).
-
-* Handle most input files (or base directories) via ``snakemake.input``.
-
-* Use of ``mock_snakemake`` from PyPSA-Eur.
-
-* Update ``solve_network`` rule to match implementation in PyPSA-Eur by using
-  ``n.ilopf()`` and remove outdated code using ``pyomo``.
-  Allows the new setting to skip iterated impedance updates with ``solving:
-  options: skip_iterations: true``.
-
-* The component attributes that are to be overridden are now stored in the folder
-  ``data/override_component_attrs`` analogous to ``pypsa/component_attrs``.
-  This reduces verbosity and also allows circumventing the ``n.madd()`` hack
-  for individual components with non-default attributes.
-  This data is also tracked in the Snakefile.
-  A function ``helper.override_component_attrs`` was added that loads this data
-  and can pass the overridden component attributes into ``pypsa.Network()``.
-
-* Add various parameters to ``config.default.yaml`` which were previously hardcoded inside the scripts
-  (e.g. energy reference years, BEV settings, solar thermal collector models, geomap colours).
-
-* Removed stale industry demand rules ``build_industrial_energy_demand_per_country``
-  and ``build_industrial_demand``. These are superseded with more regionally resolved rules.
-
-* Use simpler and shorter ``gdf.sjoin()`` function to allocate industrial sites
-  from the Hotmaps database to onshore regions.
-  This change also fixes a bug:
-  The previous version allocated sites to the closest bus,
-  but at country borders (where Voronoi cells are distorted by the borders),
-  this had resulted in e.g. a Spanish site close to the French border
-  being wrongly allocated to the French bus if the bus center was closer.
-
-* Retrofitting rule is now only triggered if endogeneously optimised.
-
-* Show progress in build rules with ``tqdm`` progress bars.
-
-* Reduced verbosity of ``Snakefile`` through directory prefixes.
-
-* Improve legibility of ``config.default.yaml`` and remove unused options.
-
-* Use the country-specific time zone mappings from ``pytz`` rather than a manual mapping.
-
-* A function ``add_carrier_buses()`` was added to the ``prepare_network`` rule to reduce code duplication.
-
-* In the ``prepare_network`` rule the cost and potential adjustment was moved into an
-  own function ``maybe_adjust_costs_and_potentials()``.
-
-* Use ``matplotlibrc`` to set the default plotting style and backend.
-
-* Added benchmark files for each rule.
-
-* Consistent use of ``__main__`` block and further unspecific code cleaning.
-
-* Updated data bundle and moved data bundle to zenodo.org (`10.5281/zenodo.5546517 <https://doi.org/10.5281/zenodo.5546517>`__).
-
-
-**Bugfixes and Compatibility**
-
-* Compatibility with ``atlite>=0.2``. Older versions of ``atlite`` will no longer work.
-
-* Corrected calculation of "gas for industry" carbon capture efficiency.
-
-* Implemented changes to ``n.snapshot_weightings`` in PyPSA v0.18.0.
-
-* Compatibility with ``xarray`` version 0.19.
-
-* New dependencies: ``tqdm``, ``atlite>=0.2.4``, ``pytz`` and ``geopy`` (optional).
-  These are included in the environment specifications of PyPSA-Eur v0.4.0.
-
-Many thanks to all who contributed to this release!
-
-
-PyPSA-Eur-Sec 0.5.0 (21st May 2021)
------------------------------------
-
-This release includes improvements to the cost database for building retrofits, carbon budget management and wildcard settings, as well as an important bugfix for the emissions from land transport.
-
-This release is known to work with `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ Version 0.3.0 and `Technology Data <https://github.com/PyPSA/technology-data>`__ Version 0.2.0.
-
-Please note that the data bundle has also been updated.
-
-New features and bugfixes:
-
-* The cost database for retrofitting of the thermal envelope of buildings has been updated. Now, for calculating the space heat savings of a building, losses by thermal bridges and ventilation are included as well as heat gains (internal and by solar radiation). See the section :ref:`retro` for more details on the retrofitting module.
-* For the myopic investment option, a carbon budget and a type of decay (exponential or beta) can be selected in the ``config.yaml`` file to distribute the budget across the ``planning_horizons``. For example, ``cb40ex0`` in the ``{sector_opts}`` wildcard will distribute a carbon budget of 40 GtCO2 following an exponential decay with initial growth rate 0.
-* Added an option to alter the capital cost or maximum capacity of carriers by a factor via ``carrier+factor`` in the ``{sector_opts}`` wildcard. This can be useful for exploring uncertain cost parameters. Example: ``solar+c0.5`` reduces the ``capital_cost`` of solar to 50\% of original values. Similarly ``solar+p3`` multiplies the ``p_nom_max`` by 3.
-* Rename the bus for European liquid hydrocarbons from ``Fischer-Tropsch`` to ``EU oil``, since it can be supplied not just with the Fischer-Tropsch process, but also with fossil oil.
-* Bugfix: The new separation of land transport by carrier in Version 0.4.0 failed to account for the carbon dioxide emissions from internal combustion engines in land transport. This is now treated as a negative load on the atmospheric carbon dioxide bus, just like aviation emissions.
-* Bugfix: Fix reading in of ``pypsa-eur/resources/powerplants.csv`` to PyPSA-Eur Version 0.3.0 (use column attribute name ``DateIn`` instead of old ``YearDecommissioned``).
-* Bugfix: Make sure that ``Store`` components (battery and H2) are also removed from PyPSA-Eur, so they can be added later by PyPSA-Eur-Sec.
-
-Thanks to Lisa Zeyen (KIT) for the retrofitting improvements and Marta Victoria (Aarhus University) for the carbon budget and wildcard management.
-
-PyPSA-Eur-Sec 0.4.0 (11th December 2020)
-----------------------------------------
-
-This release includes a more accurate nodal disaggregation of industry demand within each country, fixes to CHP and CCS representations, as well as changes to some configuration settings.
-
-It has been released to coincide with `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ Version 0.3.0 and `Technology Data <https://github.com/PyPSA/technology-data>`__ Version 0.2.0, and is known to work with these releases.
-
-New features:
-
-* The `Hotmaps Industrial Database <https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database>`__ is used to disaggregate the industrial demand spatially to the nodes inside each country (previously it was distributed by population density).
-* Electricity demand from industry is now separated from the regular electricity demand and distributed according to the industry demand. Only the remaining regular electricity demand for households and services is distributed according to GDP and population.
-* A cost database for the retrofitting of the thermal envelope of residential and services buildings has been integrated, as well as endogenous optimisation of the level of retrofitting. This is described in the paper `Mitigating heat demand peaks in buildings in a highly renewable European energy system <https://arxiv.org/abs/2012.01831>`__. Retrofitting can be activated both exogenously and endogenously from the ``config.yaml``.
-* The biomass and gas combined heat and power (CHP) parameters ``c_v`` and ``c_b`` were read in assuming they were extraction plants rather than back pressure plants. The data is now corrected in `Technology Data <https://github.com/PyPSA/technology-data>`__ Version 0.2.0 to the correct DEA back pressure assumptions and they are now implemented as single links with a fixed ratio of electricity to heat output (even as extraction plants, they were always sitting on the backpressure line in simulations, so there was no point in modelling the full heat-electricity feasibility polygon). The old assumptions underestimated the heat output.
-* The Danish Energy Agency released `new assumptions for carbon capture <https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-industrial-process-heat-and>`__ in October 2020, which have now been incorporated in PyPSA-Eur-Sec, including direct air capture (DAC) and post-combustion capture on CHPs, cement kilns and other industrial facilities. The electricity and heat demand for DAC is modelled for each node (with heat coming from district heating), but currently the electricity and heat demand for industrial capture is not modelled very cleanly (for process heat, 10% of the energy is assumed to go to carbon capture) - a new issue will be opened on this.
-* Land transport is separated by energy carrier (fossil, hydrogen fuel cell electric vehicle, and electric vehicle), but still needs to be separated into heavy and light vehicles (the data is there, just not the code yet).
-* For assumptions that change with the investment year, there is a new time-dependent format in the ``config.yaml`` using a dictionary with keys for each year. Implemented examples include the CO2 budget, exogenous retrofitting share and land transport energy carrier; more parameters will be dynamised like this in future.
-* Some assumptions have been moved out of the code and into the ``config.yaml``, including the carbon sequestration potential and cost, the heat pump sink temperature, reductions in demand for high value chemicals, and some BEV DSM parameters and transport efficiencies.
-* Documentation on :doc:`supply_demand` options has been added.
-
-Many thanks to Fraunhofer ISI for opening the hotmaps database and to Lisa Zeyen (KIT) for implementing the building retrofitting.
-
-
-PyPSA-Eur-Sec 0.3.0 (27th September 2020)
------------------------------------------
-
-This releases focuses on improvements to industry demand and the generation of intermediate files for demand for basic materials. There are still inconsistencies with CCS and waste management that need to be improved.
-
-It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69), PyPSA v0.17.1 and technology-data v0.1.0. Please note that the data bundle has also been updated.
-
-
-New features:
-
-* In previous version of PyPSA-Eur-Sec the energy demand for industry was calculated directly for each location. Now, instead, the production of each material (steel, cement, aluminium) at each location is calculated as an intermediate data file, before the energy demand is calculated from it. This allows us in future to have competing industrial processes for supplying the same material demand.
-* The script ``build_industrial_production_per_country_tomorrow.py`` determines the future industrial production of materials based on today's levels as well as assumed recycling and demand change measures.
-* The energy demand for each industry sector and each location in 2015 is also calculated, so that it can be later incorporated in the pathway optimization.
-* Ammonia production data is taken from the USGS and deducted from JRC-IDEES's "basic chemicals" so that it ammonia can be handled separately from the others (olefins, aromatics and chlorine).
-* Solid biomass is no longer allowed to be used for process heat in cement and basic chemicals, since the wastes and residues cannot be guaranteed to reach the high temperatures required. Instead, solid biomass is used in the paper and pulp as well as food, beverages and tobacco industries, where required temperatures are lower (see `DOI:10.1002/er.3436 <https://doi.org/10.1002/er.3436>`__ and `DOI:10.1007/s12053-017-9571-y <https://doi.org/10.1007/s12053-017-9571-y>`__).
-* National installable potentials for salt caverns are now applied.
-* When electricity distribution grids are activated, new industry electricity demand, resistive heaters and micro-CHPs are now connected to the lower voltage levels.
-* Gas distribution grid costs are included for gas boilers and micro-CHPs.
-* Installable potentials for rooftop PV are included with an assumption of 1 kWp per person.
-* Some intermediate files produced by scripts have been moved from the folder ``data`` to the folder ``resources``. Now ``data`` only includes input data, while ``resources`` only includes intermediate files necessary for building the network models. Please note that the data bundle has also been updated.
-* Biomass potentials for different years and scenarios from the JRC are generated in an intermediate file, so that a selection can be made more explicitly by specifying the biomass types from the ``config.yaml``.
-
-
-PyPSA-Eur-Sec 0.2.0 (21st August 2020)
---------------------------------------
-
-This release introduces pathway optimization over many years (e.g. 2020, 2030, 2040, 2050) with myopic foresight, as well as outsourcing the technology assumptions to the `technology-data <https://github.com/PyPSA/technology-data>`__ repository.
-
-It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69), PyPSA v0.17.1 and technology-data v0.1.0.
-
-New features:
-
-* Option for pathway optimization with myopic foresight, based on the paper `Early decarbonisation of the European Energy system pays off (2020) <https://arxiv.org/abs/2004.11009>`__. Investments are optimized sequentially for multiple years (e.g. 2020, 2030, 2040, 2050) taking account of existing assets built in previous years and their lifetimes. The script uses data on the existing assets for electricity and building heating technologies, but there are no assumptions yet for existing transport and industry (if you include these, the model will greenfield them). There are also some `outstanding issues <https://github.com/PyPSA/pypsa-eur-sec/issues/19#issuecomment-678194802>`__ on e.g. the distribution of existing wind, solar and heating technologies within each country. To use myopic foresight, set ``foresight : 'myopic'`` in the ``config.yaml`` instead of the default ``foresight : 'overnight'``. An example configuration can be found in ``config.myopic.yaml``. More details on the implementation can be found in :doc:`myopic`.
-
-* Technology assumptions (costs, efficiencies, etc.) are no longer stored in the repository. Instead, you have to install the `technology-data <https://github.com/PyPSA/technology-data>`__ database in a parallel directory. These assumptions are largely based on the `Danish Energy Agency Technology Data <https://ens.dk/en/our-services/projections-and-models/technology-data>`__. More details on the installation can be found in :doc:`installation`.
-
-* Logs and benchmarks are now stored with the other model outputs in ``results/run-name/``.
-
-* All buses now have a ``location`` attribute, e.g. bus ``DE0 3 urban central heat`` has a ``location`` of ``DE0 3``.
-
-* All assets have a ``lifetime`` attribute (integer in years). For the myopic foresight, a ``build_year`` attribute is also stored.
-
-* Costs for solar and onshore and offshore wind are recalculated by PyPSA-Eur-Sec based on the investment year, including the AC or DC connection costs for offshore wind.
-
-Many thanks to Marta Victoria for implementing the myopic foresight, and Marta Victoria, Kun Zhu and Lisa Zeyen for developing the technology assumptions database.
-
-
-PyPSA-Eur-Sec 0.1.0 (8th July 2020)
------------------------------------
-
-This is the first proper release of PyPSA-Eur-Sec, a model of the European energy system at the transmission network level that covers the full ENTSO-E area.
-
-It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69) and PyPSA v0.17.0.
-
-We are making this release since in version 0.2.0 we will introduce changes to allow myopic investment planning that will require minor changes for users of the overnight investment planning.
-
-PyPSA-Eur-Sec builds on the electricity generation and transmission
-model `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ to add demand
-and supply for the following sectors: transport, space and water
-heating, biomass, industry and industrial feedstocks. This completes
-the energy system and includes all greenhouse gas emitters except
-waste management, agriculture, forestry and land use.
-
-PyPSA-Eur-Sec was initially based on the model PyPSA-Eur-Sec-30 (Version 0.0.1 below) described
-in the paper `Synergies of sector coupling and transmission
-reinforcement in a cost-optimised, highly renewable European energy
-system <https://arxiv.org/abs/1801.05290>`__ (2018) but it differs by
-being based on the higher resolution electricity transmission model
-`PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__ rather than a
-one-node-per-country model, and by including biomass, industry,
-industrial feedstocks, aviation, shipping, better carbon management,
-carbon capture and usage/sequestration, and gas networks.
-
-
-PyPSA-Eur-Sec includes PyPSA-Eur as a
-`snakemake <https://snakemake.readthedocs.io/en/stable/index.html>`__
-`subworkflow <https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html#snakefiles-sub-workflows>`__. PyPSA-Eur-Sec
-uses PyPSA-Eur to build the clustered transmission model along with
-wind, solar PV and hydroelectricity potentials and time series. Then
-PyPSA-Eur-Sec adds other conventional generators, storage units and
-the additional sectors.
-
-
-
-
-PyPSA-Eur-Sec 0.0.2 (4th September 2020)
-----------------------------------------
-
-This version, also called PyPSA-Eur-Sec-30-Path, built on
-PyPSA-Eur-Sec 0.0.1 (also called PyPSA-Eur-Sec-30) to include myopic
-pathway optimisation for the paper `Early decarbonisation of the
-European energy system pays off <https://arxiv.org/abs/2004.11009>`__
-(2020). The myopic pathway optimisation was then merged into the main
-PyPSA-Eur-Sec codebase in Version 0.2.0 above.
-
-This model has `its own github repository
-<https://github.com/martavp/pypsa-eur-sec-30-path>`__ and is `archived
-on Zenodo <https://zenodo.org/records/4014807>`__.
-
-
-
-PyPSA-Eur-Sec 0.0.1 (12th January 2018)
----------------------------------------
-
-This is the first published version of PyPSA-Eur-Sec, also called
-PyPSA-Eur-Sec-30. It was first used in the research paper `Synergies of
-sector coupling and transmission reinforcement in a cost-optimised,
-highly renewable European energy system
-<https://arxiv.org/abs/1801.05290>`__ (2018). The model covers 30
-European countries with one node per country. It includes demand and
-supply for electricity, space and water heating in buildings, and land
-transport.
-
-It is `archived on Zenodo <https://zenodo.org/records/1146666>`__.
-
-
-Release Process
-===============
-
-* Checkout a new release branch ``git checkout -b release-v0.x.x``.
-
-* Finalise release notes at ``doc/release_notes.rst``.
-
-* Update ``envs/environment.fixed.yaml`` via
-  ``conda env export -n pypsa-eur -f envs/environment.fixed.yaml --no-builds``
-  from an up-to-date ``pypsa-eur`` environment.
-
-* Update version number in ``doc/conf.py``, ``CITATION.cff`` and ``*config.*.yaml``.
-
-* Make a ``git commit``.
-
-* Open, review and merge pull request for branch ``release-v0.x.x``.
-  Make sure to close issues and PRs or the release milestone with it (e.g. closes #X).
-
-* Tag a release on Github via ``git tag v0.x.x``, ``git push``, ``git push --tags``. Include release notes in the tag message.
-
-* Make a `GitHub release <https://github.com/PyPSA/pypsa-eur-sec/releases>`__, which automatically triggers archiving to the `zenodo code repository <https://doi.org/10.5281/zenodo.3520874>`__ with `MIT license <https://opensource.org/licenses/MIT>`__.
-
-* Send announcement on the `PyPSA mailing list <https://groups.google.com/forum/#!forum/pypsa>`__.
diff --git a/doc/retrieve.md b/doc/retrieve.md
new file mode 100644
index 0000000000..d45d9a2434
--- /dev/null
+++ b/doc/retrieve.md
@@ -0,0 +1,128 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Retrieving Data {#data}
+
+Not all data dependencies are shipped with the git repository, since git is not suited for handling large changing files.
+Instead we use separate steps in the workflow (`rules` executed by `snakemake`) to download external data using the `retrieve_<dataset>` rules.
+
+Data is generally retrieved in a version-controlled manner, enabling control over input data versions, reproducibility and consistency of modelling runs.
+The rules download data into subfolders in the `data/` directory, following the structure
+`data/{dataset}/{source}/{version}`, e.g. `data/jrc_idees/primary/March-2025-V1/`.
+Which specific data version is retrieved can be controlled in the [data configuration](configuration.md#data_cf).
+
+For Open-TYNDP runs, most datasets can also be retrieved from a dedicated Google Cloud Storage
+bucket instead of their original sources. See [tyndp_archive](sb.md#tyndp_archive) in the SB documentation.
+
+Below some specific `retrieve_<dataset>` rules are documented.
+For more information on the datasets retrieved, see the [data sources](data_sources.md) and *Data inventory* section there in the documentation.
+
+## Rule `retrieve_bidding_zones`
+
+<!-- ::: retrieve_bidding_zones (module not found) -->
+
+## Rule `retrieve_cutout`
+
+See [cutouts](configuration.md#atlite_cf).
+
+
+## Rule `retrieve_electricity_demand_energy_atlas`
+
+This rule downloads 1km by 1km raster of estimated annual electricity demand from the [JRC Energy Atlas](https://energy-industry-geolab.jrc.ec.europa.eu/energy-atlas/).
+
+## Rule `retrieve_desnz_electricity_consumption`
+
+This rule downloads subnational electricity consumption data for Great Britain from the [Department for Energy Security and Net Zero](https://www.gov.uk/government/statistics/regional-and-local-authority-electricity-consumption-statistics).
+
+## Rule `retrieve_ons_lad`
+
+This rule downloads shapefiles of local authorities in the United Kingdom from the [Office for National Statistics](https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-may-2024-boundaries-uk-bsc-2/about).
+
+## Rule `retrieve_electricity_demand_opsd`
+
+This rule downloads hourly electric load data for each country from the [OPSD platform](https://data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv).
+
+**Relevant Settings**
+
+None.
+
+**Outputs**
+
+- `data/electricity_demand_opsd_raw.csv`
+
+## Rule `retrieve_electricity_demand_entsoe`
+
+This rule downloads hourly electric load data for each country from the [ENTSOE Transparency Platform](https://transparency.entsoe.eu).
+
+**Relevant Settings**
+
+None.
+
+**Outputs**
+
+- `data/electricity_demand_entsoe_raw.csv`
+
+## Rule `retrieve_electricity_demand_neso`
+
+This rule downloads hourly electric load data for the United Kingdom from the [NESO Data Portal](https://www.neso.energy/data-portal/historic-demand-data).
+
+**Relevant Settings**
+
+None.
+
+**Outputs**
+
+- `data/electricity_demand_neso_raw.csv`
+
+
+## Rule `retrieve_cost_data`
+
+This rule downloads techno-economic assumptions from the [technology-data repository](https://github.com/pypsa/technology-data).
+
+**Relevant Settings**
+
+```yaml
+costs:
+    year:
+```
+
+!!! seealso
+    Documentation of the configuration file `config/config.yaml` at
+    [costs_cf](configuration.md#costs_cf)
+
+**Outputs**
+
+- `data/costs/primary/{version}/costs_{year}.csv`
+
+
+## Rule `retrieve_countries_centroids`
+
+This rule downloads country centroid geometry data by Copyright (c) 2021 Gavin Rehkemper from https://cdn.jsdelivr.net/gh/gavinr/world-countries-centroids@v1.0.0/dist/countries.geojson.
+
+**Relevant Settings**
+
+None.
+
+**Outputs**
+
+- `data/countries_centroids.geojson`
+
+
+## Rule `retrieve_presolved_networks`
+
+This rule downloads pre-solved networks from a previous Open-TYNDP release (*preliminary outcomes* published on [Zenodo](https://zenodo.org/records/18608105)) and extracts the solved network for each planning horizon. These can be investigated with PyPSA-Explorer's web interface using the `launch_presolved_explorer` rule without having to re-run the workflow.
+
+**Relevant Settings**
+
+```yaml
+data:
+    open_tyndp_prelim:
+        source:
+        version:
+```
+
+**Outputs**
+
+- `data/open_tyndp_prelim/{source}/{version}/base_s_all___{planning_horizons}.nc`
diff --git a/doc/retrieve.rst b/doc/retrieve.rst
deleted file mode 100644
index f03299e572..0000000000
--- a/doc/retrieve.rst
+++ /dev/null
@@ -1,128 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _data:
-
-###############
-Retrieving Data
-###############
-
-Not all data dependencies are shipped with the git repository, since git is not suited for handling large changing files.
-Instead we use separate steps in the workflow (``rules`` executed by ``snakemake``) to download external data using the ``retrieve_<dataset>`` rules.
-
-Data is generally retrieved in a version-controlled manner, enabling control over input data versions, reproducibility and consistency of modelling runs.
-The rules download data into subfolders in the `data/` directory, following the structure
-``data/{dataset}/{source}/{version}``, e.g. ``data/jrc_idees/primary/March-2025-V1/``.
-Which specific data version is retrieved can be controlled in the :ref:`data configuration <data_cf>`.
-
-For Open-TYNDP runs, most datasets can also be retrieved from a dedicated Google Cloud Storage
-bucket instead of their original sources. See :ref:`tyndp_archive` in the SB documentation.
-
-Below some specific ``retrieve_<dataset>`` rules are documented.
-For more information on the datasets retrieved, see the `data sources <https://pypsa-eur.readthedocs.io/en/latest/data_sources.html>`__ and *Data inventory* section there in the documentation.
-
-
-Rule ``retrieve_bidding_zones``
-=========================================
-
-.. automodule:: retrieve_bidding_zones
-
-Rule ``retrieve_cutout``
-============================
-
-See :ref:`cutouts`.
-
-
-
-Rule ``retrieve_electricity_demand_opsd``
-=========================================
-
-This rule downloads hourly electric load data for each country from the `OPSD platform <https://data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv>`__.
-
-**Relevant Settings**
-
-None.
-
-**Outputs**
-
-- ``data/electricity_demand_opsd_raw.csv``
-
-Rule ``retrieve_electricity_demand_entsoe``
-===========================================
-
-This rule downloads hourly electric load data for each country from the `ENTSOE Transparency Platform <https://transparency.entsoe.eu>`__.
-
-**Relevant Settings**
-
-None.
-
-**Outputs**
-
-- ``data/electricity_demand_entsoe_raw.csv``
-
-Rule ``retrieve_electricity_demand_neso``
-=========================================
-
-This rule downloads hourly electric load data for the United Kingdom from the `NESO Data Portal <https://www.neso.energy/data-portal/historic-demand-data>`__.
-
-**Relevant Settings**
-
-None.
-
-**Outputs**
-
-- ``data/electricity_demand_neso_raw.csv``
-
-Rule ``retrieve_cost_data``
-================================
-
-This rule downloads techno-economic assumptions from the `technology-data repository <https://github.com/pypsa/technology-data>`__.
-
-**Relevant Settings**
-
-.. code:: yaml
-
-    costs:
-        year:
-
-.. seealso::
-    Documentation of the configuration file ``config/config.yaml`` at
-    :ref:`costs_cf`
-
-**Outputs**
-
-- ``data/costs/primary/{version}/costs_{year}.csv``
-
-
-Rule ``retrieve_countries_centroids``
-====================================
-
-This rule downloads country centroid geometry data by `Copyright (c) 2021 Gavin Rehkemper` from https://cdn.jsdelivr.net/gh/gavinr/world-countries-centroids@v1.0.0/dist/countries.geojson.
-
-**Relevant Settings**
-
-None.
-
-**Outputs**
-
-- ``data/countries_centroids.geojson``
-
-
-Rule ``retrieve_presolved_networks``
-====================================
-
-This rule downloads pre-solved networks from a previous Open-TYNDP release (*preliminary outcomes* published on `Zenodo <https://zenodo.org/records/18608105>`__) and extracts the solved network for each planning horizon. These can be investigated with PyPSA-Explorer's web interface using the ``launch_presolved_explorer`` rule without having to re-run the workflow.
-
-**Relevant Settings**
-
-.. code:: yaml
-
-    data:
-        open_tyndp_prelim:
-            source:
-            version:
-
-**Outputs**
-
-- ``data/open_tyndp_prelim/{source}/{version}/base_s_all___{planning_horizons}.nc``
diff --git a/doc/sb.md b/doc/sb.md
new file mode 100644
index 0000000000..c9d58b9719
--- /dev/null
+++ b/doc/sb.md
@@ -0,0 +1,251 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Scenario Building (SB)
+
+Scenario Building (SB) is the first phase of the Open-TYNDP workflow. Starting from raw
+ENTSO-E input datasets, it constructs a sector-coupled European energy system model
+and solves a least-cost capacity expansion (DE and GA scenarios only, see [Open-TYNDP scenarios](scenarios.md)) and dispatch optimisation. The solved network
+produced by SB serves as the direct input to the [Cost-Benefit Analysis (CBA)](cba.md).
+
+Open-TYNDP implements the [TYNDP 2024 Scenario Building methodology](https://www.entsoe.eu/outlooks/tyndp/2024/) as a soft-fork of
+[PyPSA-Eur](https://pypsa-eur.readthedocs.io/en/latest/), inheriting its modelling
+framework (optimisation structure, network representation, and sector-coupling capabilities)
+while replacing specific inputs and assumptions to match TYNDP 2024 reference data.
+
+## Input Data
+
+All used input datasets are publicly available from the [TYNDP 2024 scenarios download page](https://2024.entsos-tyndp-scenarios.eu/download/). The diagram below shows how they
+flow into Open-TYNDP and into the benchmarking process.
+
+![TYNDP 2024 Scenario Building data overview diagram](img/tyndp/data_overview.png)
+
+Public input data from ENTSO-E is used wherever available. Where publicly available data does
+not match the fixed values observed in the Market Model output files, the output files are used
+as the reference for fixed input assumptions. This applies strictly to exogenous variables that
+are not part of the optimisation (H₂ demand profiles, reference grid topologies,
+and generator maintenance profiles).
+
+The following datasets are ingested and processed by dedicated `build_tyndp_*` Snakemake rules:
+
+**[PEMMDB 2.5](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PEMMDB2.zip)**
+
+Installed generation and storage capacities, must-run constraints, and per-unit cost
+assumptions by country and technology. Also provides efficiency and variable O&M parameters
+for conventional thermal generation sourced from ERAA 2025.
+
+**[PECD 3.1](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PECD.zip)**
+
+Hourly capacity factor time series for wind (onshore and offshore) and solar PV, derived
+from ERA5 reanalysis data. Profiles are provided per climate year and TYNDP bidding zone.
+
+**[Hydro Inflows](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydro-Inflows.zip)**
+
+Hourly inflow profiles for reservoir and run-of-river hydro plants, used to constrain
+hydro dispatch across planning horizons. Profiles are provided per climate year and TYNDP bidding zone.
+
+**[Demand Profiles](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Demand-Profiles.zip)**
+
+Hourly electricity and hydrogen demand profiles by country, interpolated to the target
+planning horizon. Where public profiles do not match fixed values in the Market Model output
+files, the output files are used as the reference.
+
+**[Line Data](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Line-data.zip)**
+
+Electricity and hydrogen transmission network topology for both the reference grid and
+candidate lines. Electricity and H₂ line data are used from 2030 onward.
+
+**[Investment Candidates](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Investment-Datasets.zip)**
+
+Optional extendable transmission and storage assets for the 2035 and 2040 planning horizons.
+
+**[Hydrogen](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydrogen.zip)**
+
+Hydrogen storage parameters, steam methane reforming (SMR and SMR+CCS) capacities, and
+import pipeline assumptions.
+
+**[Supply Tool](https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/20240518-Supply-Tool.xlsm.zip)**
+
+Methane demand and biomass potentials for energy carriers modelled in Open-TYNDP. This is
+a scenario output file from the TYNDP 2024 process used as a fixed input.
+
+!!! note
+    In the underlying PyPSA-Eur framework, RES profiles, hydro inflows, and demand time series
+    can be derived directly from raw weather data without any additional model. The same applies
+    to biomass potentials. Open-TYNDP currently uses the provided TYNDP input files for
+    comparability with the established TYNDP 2024 methodology.
+
+## SB Workflow
+
+The SB workflow transforms raw ENTSO-E input datasets into a solved, sector-coupled PyPSA
+network. The key stages are: integrating public input data, constructing the sector-coupled
+network, applying TYNDP-specific constraints, solving the capacity expansion optimisation, visualising results, and running the Open-TYNDP [benchmarking framework](benchmarking.md).
+
+### Network Construction
+
+The PyPSA network is built at **bidding zone / country-level resolution** for the electricity and hydrogen
+sectors respectively. Buses represent national-level aggregations; AC lines and DC links represent
+cross-border interconnectors with capacities and impedances taken from the TYNDP Line Data.
+
+Generator and storage components are attached to country buses using PEMMDB 2.5 capacity data.
+Which carriers are **extendable** varies by scenario and planning horizon.
+
+### Sector Coupling
+
+Open-TYNDP models the electricity and hydrogen sectors as fully coupled. For the Distributed
+Energy (DE) and Global Ambition (GA) scenarios, heating sector links are included in addition (see [Open-TYNDP scenarios](scenarios.md)). Cross-sector components include:
+
+* **Electrolysers:** Convert electricity to hydrogen; capacity is either fixed per PEMMDB 2.5
+  or left extendable depending on the scenario.
+* **Fuel cells and back-pressure plants:** Reconvert hydrogen or gas to electricity.
+* **Hydrogen network:** Dedicated H₂ pipelines between country buses are included for planning
+  horizons from 2030 onward, using TYNDP Line Data. Zones with split H₂ grids (e.g. the
+  Iberian Peninsula) are represented with separate H₂ buses.
+* **SMR and SMR+CCS:** Grey and blue hydrogen production capacities from PEMMDB and TYNDP
+  hydrogen datasets.
+* **Demand-side electrification:** Where the scenario specifies it, electricity demand
+  incorporates direct electrification of heat and transport end-uses.
+
+### Capacity and Dispatch Optimisation
+
+The SB optimisation minimises **total annualised system cost** (variable operating cost, plus investment cost where capacity expansion is enabled) subject to:
+
+* Hourly supply-demand balance for each carrier at every bus.
+* Transmission capacity constraints, with optional extendability for candidate lines.
+* CO₂ emission budgets derived from the TYNDP 2024 scenario pathway.
+* Minimum and maximum generation constraints from PEMMDB, including must-run levels and
+  scheduled maintenance outages.
+* Country-level annual hydrogen supply and demand balances.
+* Capacity expansion constraints reflecting given trajectories in the case of the DE and GA scenario.
+
+The problem is formulated as a **linear programme (LP)** and solved with the configured
+solver (HiGHS as default as an open-source alternative for lower
+temporal resolution runs; other solvers like Gurobi/Mosek are also supported and recommended for high-resolution runs).
+
+Each planning horizon is solved independently using the capacity assumptions fixed for that
+horizon. The solved `network.nc` file is retrieved by the CBA workflow as
+its starting point. See the [CBA documentation](cba.md) for details.
+
+## Configuration
+
+SB settings are split across `config/config.tyndp.yaml` (run-level settings) and
+`config/scenarios.tyndp.yaml` (scenario-specific overrides). You can refer to
+the [configuration](configuration.md) page for a more comprehensive list of available PyPSA-Eur
+and Open-TYNDP configuration options.
+
+### Scenarios and Planning Horizons
+
+* `scenario`: Selects the TYNDP 2024 scenario. Supported values are `NT`
+  (National Trends), `GA` (Global Ambition) and `DE` (Distributed Energy).
+* `planning_horizons`: List of target years to solve (e.g. `[2030, 2035, 2040, 2050]`). Each
+  horizon is solved as an independent optimisation.
+* `run.name`: Identifies the run and determines the output directory; typically set to
+  the scenario/climate-year identifier (e.g. `NT-cy2009`).
+  * `launch_explorer`: Whether to launch the [PyPSA Explorer](https://github.com/open-energy-transition/pypsa-explorer) after the model solve within the workflow. Default is `True`.
+
+### Climate Years
+
+Each scenario run is tied to a specific historical climate year, which determines the
+renewable generation and hydro inflow profiles used from PECD 3.1 and Hydro Inflows:
+
+* `snapshots`: Defines the modelling time window, e.g.:
+
+  ```yaml
+  snapshots:
+    start: "2009-01-01"
+    end:   "2009-12-31"
+    inclusive: "left"
+  ```
+
+* `atlite.default_cutout`: ERA5 reanalysis cutout used to compute PECD-compatible
+  capacity factor profiles (e.g. `europe-2009-era5`).
+
+### Solver Settings
+
+* `solving.solver.name`: Solver to use (e.g. `gurobi`, `highs`, or `mosek`).
+* `solving.solver_options`: Solver-specific parameters such as optimality gap and
+  memory limits.
+
+### Data Sources {#tyndp_archive}
+
+By default, Open-TYNDP retrieves input datasets from `data.pypsa.org` (`archive` source)
+or their original primary sources, meaning data is pulled from several different domains. As an alternative, most datasets are also mirrored to a
+dedicated Google Cloud Storage bucket (`open-tyndp-data-store`) under the `tyndp-archive`
+source. This mirror consolidates downloads to a single URL, which can simplify IT or security approval processes. The Google Cloud Storage requires no account and all files are versioned for reproducibility.
+
+To activate `tyndp-archive` for all supported datasets, set `data_config: tyndp` in any
+of the following ways:
+
+- Pass it on the command line:
+
+  ```console
+  $ pixi run tyndp-sb --config data_config=tyndp
+  ```
+
+- Set it permanently in `config/config.tyndp.yaml` (applied to all TYNDP runs):
+
+  ```yaml
+  data_config: tyndp
+  ```
+
+- Set it in `config/test/config.tyndp.yaml` for test runs.
+
+This loads `config/data.tyndp.yaml`, which switches all mirrored datasets to `tyndp-archive`.
+A small number of datasets (`wdpa`, `cutout`, `open_tyndp_prelim`) are not yet available
+on the GCS bucket and will still be retrieved from their respective sources.
+
+To see which datasets support `tyndp-archive`, check the `source` column in `data/versions.csv`.
+See also [`data_config`](configuration.md#data_config_cf) and [`data`](configuration.md#data_cf) in the configuration reference.
+
+## Running Scenario Building
+
+Before running, make sure you have completed the steps in the [installation guide](installation.md).
+
+Scenarios are defined and modified in `config/scenarios.tyndp.yaml`. The full Scenario Building workflow from raw input data
+through to results and launching the
+[PyPSA Explorer](https://github.com/open-energy-transition/pypsa-explorer) visualisation runs with a single command:
+
+```console
+$ pixi run tyndp-sb
+```
+
+!!! tip
+
+    If too many parallel jobs cause out-of-memory issues, you can specify your machine's
+    physical RAM limit in `profiles/default/config.yaml` for Snakemake to use
+    when scheduling jobs:
+
+    ```yaml
+    resources:
+      mem_mb: 16000
+    ```
+
+You can also launch the `PyPSA-Explorer` on its own, without rerunning the full workflow.
+
+To browse pre-solved SB networks from the latest release, simply run:
+
+```console
+$ pixi run launch-presolved-explorer
+```
+
+Alternatively, if you have downloaded solved networks yourself, you can point `PyPSA-Explorer` at them directly from within the `open-tyndp` environment shell:
+
+```console
+$ pixi shell -e open-tyndp
+$ pypsa-explorer path/to/network_2030.nc path/to/network_2040.nc
+```
+
+Any explorer instances you launch will close automatically on reboot. To close all running instances yourself at any time, run:
+
+```console
+$ pixi run close-explorers
+```
+
+!!! tip
+
+    The workflow's dependency graphs can be built by a dedicated rule and saved to `resources/`.
+    Since this can grow very large for the full list of scenarios, you can restrict it to a single scenario:
+
+    ```console
+    $ pixi run create-tyndp-graphs --config 'run={"name":"NT"}'
+    ```
diff --git a/doc/sb.rst b/doc/sb.rst
deleted file mode 100644
index 5760d952ae..0000000000
--- a/doc/sb.rst
+++ /dev/null
@@ -1,269 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-######################
-Scenario Building (SB)
-######################
-
-Scenario Building (SB) is the first phase of the Open-TYNDP workflow. Starting from raw
-ENTSO-E input datasets, it constructs a sector-coupled European energy system model
-and solves a least-cost capacity expansion (DE and GA scenarios only, see `Open-TYNDP scenarios <scenarios.html>`_) and dispatch optimisation. The solved network
-produced by SB serves as the direct input to the `Cost-Benefit Analysis (CBA) <cba.html>`_.
-
-Open-TYNDP implements the `TYNDP 2024 Scenario Building methodology
-<https://www.entsoe.eu/outlooks/tyndp/2024/>`_ as a soft-fork of
-`PyPSA-Eur <https://pypsa-eur.readthedocs.io/en/latest/>`_, inheriting its modelling
-framework (optimisation structure, network representation, and sector-coupling capabilities)
-while replacing specific inputs and assumptions to match TYNDP 2024 reference data.
-
-
-Input Data
-==========
-
-All used input datasets are publicly available from the `TYNDP 2024 scenarios download page
-<https://2024.entsos-tyndp-scenarios.eu/download/>`_. The diagram below shows how they
-flow into Open-TYNDP and into the benchmarking process.
-
-.. image:: img/tyndp/data_overview.png
-    :align: center
-    :alt: TYNDP 2024 Scenario Building data overview diagram
-
-Public input data from ENTSO-E is used wherever available. Where publicly available data does
-not match the fixed values observed in the Market Model output files, the output files are used
-as the reference for fixed input assumptions. This applies strictly to exogenous variables that
-are not part of the optimisation (H₂ demand profiles, reference grid topologies,
-and generator maintenance profiles).
-
-The following datasets are ingested and processed by dedicated ``build_tyndp_*`` Snakemake
-rules:
-
-`PEMMDB 2.5 <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PEMMDB2.zip>`_
-    Installed generation and storage capacities, must-run constraints, and per-unit cost
-    assumptions by country and technology. Also provides efficiency and variable O&M parameters
-    for conventional thermal generation sourced from ERAA 2025.
-
-`PECD 3.1 <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PECD.zip>`_
-    Hourly capacity factor time series for wind (onshore and offshore) and solar PV, derived
-    from ERA5 reanalysis data. Profiles are provided per climate year and TYNDP bidding zone.
-
-`Hydro Inflows <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydro-Inflows.zip>`_
-    Hourly inflow profiles for reservoir and run-of-river hydro plants, used to constrain
-    hydro dispatch across planning horizons. Profiles are provided per climate year and TYNDP bidding zone.
-
-`Demand Profiles <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Demand-Profiles.zip>`_
-    Hourly electricity and hydrogen demand profiles by country, interpolated to the target
-    planning horizon. Where public profiles do not match fixed values in the Market Model output
-    files, the output files are used as the reference.
-
-`Line Data <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Line-data.zip>`_
-    Electricity and hydrogen transmission network topology for both the reference grid and
-    candidate lines. Electricity and H₂ line data are used from 2030 onward.
-
-`Investment Candidates <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Investment-Datasets.zip>`_
-    Optional extendable transmission and storage assets for the 2035 and 2040 planning horizons.
-
-`Hydrogen <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydrogen.zip>`_
-    Hydrogen storage parameters, steam methane reforming (SMR and SMR+CCS) capacities, and
-    import pipeline assumptions.
-
-`Supply Tool <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/20240518-Supply-Tool.xlsm.zip>`_
-    Methane demand and biomass potentials for energy carriers modelled in Open-TYNDP. This is
-    a scenario output file from the TYNDP 2024 process used as a fixed input.
-
-.. note::
-    In the underlying PyPSA-Eur framework, RES profiles, hydro inflows, and demand time series
-    can be derived directly from raw weather data without any additional model. The same applies
-    to biomass potentials. Open-TYNDP currently uses the provided TYNDP input files for
-    comparability with the established TYNDP 2024 methodology.
-
-SB Workflow
-===========
-
-The SB workflow transforms raw ENTSO-E input datasets into a solved, sector-coupled PyPSA
-network. The key stages are: integrating public input data, constructing the sector-coupled
-network, applying TYNDP-specific constraints, solving the capacity expansion optimisation, visualising results, and running the Open-TYNDP `benchmarking framework <benchmarking.html>`_.
-
-
-Network Construction
---------------------
-
-The PyPSA network is built at **bidding zone / country-level resolution** for the electricity and hydrogen
-sectors respectively. Buses represent national-level aggregations; AC lines and DC links represent
-cross-border interconnectors with capacities and impedances taken from the TYNDP Line Data.
-
-Generator and storage components are attached to country buses using PEMMDB 2.5 capacity data.
-Which carriers are **extendable** varies by scenario and planning horizon.
-
-Sector Coupling
----------------
-
-Open-TYNDP models the electricity and hydrogen sectors as fully coupled. For the Distributed
-Energy (DE) and Global Ambition (GA) scenarios, heating sector links are included in addition (see `Open-TYNDP scenarios <scenarios.html>`_). Cross-sector components
-include:
-
-* **Electrolysers:** Convert electricity to hydrogen; capacity is either fixed per PEMMDB 2.5
-  or left extendable depending on the scenario.
-* **Fuel cells and back-pressure plants:** Reconvert hydrogen or gas to electricity.
-* **Hydrogen network:** Dedicated H₂ pipelines between country buses are included for planning
-  horizons from 2030 onward, using TYNDP Line Data. Zones with split H₂ grids (e.g. the
-  Iberian Peninsula) are represented with separate H₂ buses.
-* **SMR and SMR+CCS:** Grey and blue hydrogen production capacities from PEMMDB and TYNDP
-  hydrogen datasets.
-* **Demand-side electrification:** Where the scenario specifies it, electricity demand
-  incorporates direct electrification of heat and transport end-uses.
-
-Capacity and Dispatch Optimisation
----------------------
-
-The SB optimisation minimises **total annualised system cost** (variable operating cost, plus investment cost where capacity expansion is enabled) subject to:
-
-* Hourly supply-demand balance for each carrier at every bus.
-* Transmission capacity constraints, with optional extendability for candidate lines.
-* CO₂ emission budgets derived from the TYNDP 2024 scenario pathway.
-* Minimum and maximum generation constraints from PEMMDB, including must-run levels and
-  scheduled maintenance outages.
-* Country-level annual hydrogen supply and demand balances.
-* Capacity expansion constraints reflecting given trajectories in the case of the DE and GA scenario
-
-The problem is formulated as a **linear programme (LP)** and solved with the configured
-solver (HiGHS as default as an open-source alternative for lower
-temporal resolution runs; other solvers like Gurobi/Mosek are also supported and recommended for high-resolution runs).
-
-Each planning horizon is solved independently using the capacity assumptions fixed for that
-horizon. The solved ``network.nc`` file is retrieved by the CBA workflow as
-its starting point. See the `CBA documentation <cba.html>`_ for details.
-
-Configuration
-=============
-
-SB settings are split across ``config/config.tyndp.yaml`` (run-level settings) and
-``config/scenarios.tyndp.yaml`` (scenario-specific overrides). You can refer to
-the `configuration <configuration.html>`_ page for a more comprehensive list of available PyPSA-Eur
-and Open-TYNDP configuration options.
-
-Scenarios and Planning Horizons
---------------------------------
-
-* ``scenario``: Selects the TYNDP 2024 scenario. Supported values are ``NT``
-  (National Trends),  ``GA`` (Global Ambition) and ``DE`` (Distributed Energy).
-* ``planning_horizons``: List of target years to solve (e.g. ``[2030, 2035, 2040, 2050]``). Each
-  horizon is solved as an independent optimisation.
-* ``run.name``: Identifies the run and determines the output directory; typically set to
-  the scenario/climate-year identifier (e.g. ``NT-cy2009``).
-  * ``launch_explorer``: Whether to launch the `PyPSA Explorer <https://github.com/open-energy-transition/pypsa-explorer>`_ after the model solve within the workflow. Default is ``True``.
-
-Climate Years
--------------
-
-Each scenario run is tied to a specific historical climate year, which determines the
-renewable generation and hydro inflow profiles used from PECD 3.1 and Hydro Inflows:
-
-* ``snapshots``: Defines the modelling time window, e.g.:
-
-  .. code-block:: yaml
-
-      snapshots:
-        start: "2009-01-01"
-        end:   "2009-12-31"
-        inclusive: "left"
-
-* ``atlite.default_cutout``: ERA5 reanalysis cutout used to compute PECD-compatible
-  capacity factor profiles (e.g. ``europe-2009-era5``).
-
-Solver Settings
----------------
-
-* ``solving.solver.name``: Solver to use (e.g. ``gurobi``, ``highs``, or ``mosek``).
-* ``solving.solver_options``: Solver-specific parameters such as optimality gap and
-  memory limits.
-
-.. _tyndp_archive:
-
-Data Sources
-------------
-
-By default, Open-TYNDP retrieves input datasets from ``data.pypsa.org`` (``archive`` source)
-or their original primary sources, meaning data is pulled from several different domains. As an alternative, most datasets are also mirrored to a
-dedicated Google Cloud Storage bucket (``open-tyndp-data-store``) under the ``tyndp-archive``
-source. This mirror consolidates downloads to a single URL, which can simplify IT or security approval processes. The Google Cloud Storage requires no account and all files are versioned for reproducibility.
-
-To activate ``tyndp-archive`` for all supported datasets, set ``data_config: tyndp`` in any
-of the following ways:
-
-- Pass it on the command line:
-
-  .. code-block:: console
-
-      $ pixi run tyndp-sb --config data_config=tyndp
-
-- Set it permanently in ``config/config.tyndp.yaml`` (applied to all TYNDP runs):
-
-  .. code-block:: yaml
-
-      data_config: tyndp
-
-- Set it in ``config/test/config.tyndp.yaml`` for test runs.
-
-This loads ``config/data.tyndp.yaml``, which switches all mirrored datasets to ``tyndp-archive``.
-A small number of datasets (``wdpa``, ``cutout``, ``open_tyndp_prelim``) are not yet available
-on the GCS bucket and will still be retrieved from their respective sources.
-
-To see which datasets support ``tyndp-archive``, check the ``source`` column in ``data/versions.csv``.
-See also :ref:`data_config_cf` and :ref:`data_cf` in the configuration reference.
-
-Running Scenario Building
-=========================
-
- 
-Before running, make sure you have completed the steps in the `installation guide
-<installation.html>`_.
- 
-Scenarios are defined and modified in ``config/scenarios.tyndp.yaml``. The full Scenario Building workflow from raw input data
-through to results and launching the
-`PyPSA Explorer <https://github.com/open-energy-transition/pypsa-explorer>`_ visualisation runs with a single command:
- 
-.. code-block:: console
-
-    $ pixi run tyndp-sb
-
-.. hint::
-
-   If too many parallel jobs cause out-of-memory issues, you can specify your machine's
-   physical RAM limit in ``profiles/default/config.yaml`` for Snakemake to use
-   when scheduling jobs:
-
-   .. code-block:: yaml
-
-       resources:
-         mem_mb: 16000
-
-You can also launch the ``PyPSA-Explorer`` on its own, without rerunning the full workflow.
-
-To browse pre-solved SB networks from the latest release, simply run:
-
-.. code-block:: console
-
-    $ pixi run launch-presolved-explorer
-
-Alternatively, if you have downloaded solved networks yourself, you can point ``PyPSA-Explorer`` at them directly from within the ``open-tyndp`` environment shell:
-
-.. code-block:: console
-
-    $ pixi shell -e open-tyndp
-    $ pypsa-explorer path/to/network_2030.nc path/to/network_2040.nc
-
-Any explorer instances you launch will close automatically on reboot. To close all running instances yourself at any time, run:
-
-.. code-block:: console
-
-    $ pixi run close-explorers
-
-.. tip::
-
-   The workflow's dependency graphs can be built by a dedicated rule and saved to ``resources/``.
-   Since this can grow very large for the full list of scenarios, you can restrict it to a single scenario:
-
-   .. code-block:: console
-
-       $ pixi run create-tyndp-graphs --config 'run={"name":"NT"}'
diff --git a/doc/scenarios.md b/doc/scenarios.md
new file mode 100644
index 0000000000..8b7f084289
--- /dev/null
+++ b/doc/scenarios.md
@@ -0,0 +1,102 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Open TYNDP Scenarios {#scenarios}
+
+The modelling for the reference, National Trends+ (NT+),
+and the deviation, Distributed Energy (DE) and Global Ambition (GA), scenarios
+differ in terms of assumptions, storyline and method (capacity expansion vs dispatch modelling).
+
+Here we explain these modelling differences and how these differences have been implemented into open-tyndp.
+We discuss the relevant configuration settings and the implications of these implementation decisions.
+
+Background information can be found in the report from ENTSO-E and ENTSO-G
+[TYNDP 2024 Scenarios Methodology Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf).
+
+A description of the storylines underlying the NT+, DE and GA scenarios can be found in the
+[TYNDP 2024 Scenarios Storyline Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf).
+
+## National Trends+
+
+The NT+ scenario was developed in alignment with the National Energy and Climate Plans that were available during the development
+of TYNDP 2024 (e.g. during 2023).
+
+- Uses predefined final energy demands and generation capacity collected from transmission system operators
+- Modelled as a pure dispatch problem, with fixed generation capacities for 2030 and 2040
+- All energy carriers included in final energy demand, not just electricity and gas (as with TYNDP < 2024)
+
+## Deviation Scenarios
+
+- Begins with National Trends+ 2030 scenario results for grid topology, generation capacity and final energy demands
+- Uses predefined final energy demands for 2040 and 2050 collected from transmission system operators and public consultation
+- Capacity expansion model is used to identify where and when investment in renewable generation capacity and storage is required
+- Exogenous constraints on generation investment are imposed to force:
+    - no new nuclear power capacity
+    - all existing fossil gas plants are decommissioned
+- Upper and lower bounds are also imposed to force trajectories for
+    - the expansion of solar, wind, prosumer batteries and large scale batteries
+    - H2 import potentials
+
+### Distributed Energy
+
+> *This scenario pictures a pathway achieving EU27 carbon neutrality target by 2050 with
+> higher European Economy. The scenario is driven by a willingness of the society to achieve
+> high levels of independence in terms of energy supply and goods of strategic importance
+> (e. g., industrial and agricultural produce). It translates into both a behavioural shift and
+> strong decentralised drive towards decarbonisation through local initiatives by citizens,
+> communities and businesses, supported by authorities*
+>
+> — [TYNDP 2024 Scenarios Storyline Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf)
+
+### Global Ambition
+
+> *This scenario pictures a pathway to achieving carbon neutrality by 2050, driven by a fast
+> and global move towards the Paris Agreement targets. It translates into development of a
+> very wide range of technologies (many being centralised) and the use of global energy
+> trade as a tool to accelerate decarbonisation.*
+>
+> — [TYNDP 2024 Scenarios Storyline Report](https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf)
+
+## Open TYNDP Implementation
+
+The TYNDP scenarios are defined in `config/config.tyndp.yaml` and `config/scenarios.tyndp.yaml`.
+
+The NT+ scenario is defined in full in `config/config.tyndp.yaml` and the modifications to NT+
+to form the two deviation scenarios are defined in `config/scenarios.tyndp.yaml`.
+
+| Config Key | Description |
+|---|---|
+| `run` | Run naming/prefix and scenario file reference; scenarios enabled. |
+| `foresight` | Sets planning foresight to myopic. |
+| `tyndp_scenario` | Selects TYNDP scenario code (NT). |
+| `scenario` | Defines cluster set and planning horizons (2030, 2040). |
+| `countries` | Lists modeled countries/regions. |
+| `snapshots` | Time span for simulation (2009 calendar year). |
+| `co2_budget` | Placeholder (empty). |
+| `electricity` | Core electricity settings—network base, extendable/conventional/renewable carriers, TYNDP mappings, storage types, renewable capacity estimation toggle, PECD profiles (years/techs), PEMMDB hydro profiles and capacities (years/techs), transmission limit version. |
+| `atlite` | Cutout configuration for weather data (extent, resolution, time). |
+| `links` | Default link power limits (`p_max_pu`/`p_min_pu`). |
+| `transmission_projects` | Enables projects; all source sets disabled. |
+| `load` | Demand source and year availability; default gap fill and adjustments disabled. |
+| `pypsa_eur` | Carrier-to-component mappings for imported PyPSA-Eur data. |
+| `biomass` | Sustainable/unsustainable biomass shares over time. |
+| `sector` | Toggles for sector coupling and detailed demand shares; transport/shipping/aviation settings; CO2 sequestration options; fuels and networks; biomass and e-fuels options; imports; offshore hubs limits. |
+| `costs` | Overwrites for lifetimes/efficiencies and CO2 price trajectory. |
+| `clustering` | Spatial/temporal clustering and network simplification settings. |
+| `adjustments` | Optional scaling factors for sector components; currently off. |
+| `solving` | Solver selection and option set (uses HiGHS by default). |
+| `plotting` | Thresholds, map projection, balance map settings and factors. |
+| `benchmarking` | Enables benchmarking. |
+| `cba` | Cost-benefit analysis settings (hurdle costs, horizons, methods, projects, solver options). |
+
+The base config is `config.tyndp.yaml`. The scenario file `scenarios.tyndp.yaml` defines per-scenario override blocks (e.g., NT, DE, GA).
+When a scenario is selected, its keys are merged onto the base config: matching keys override the base values,
+and nested keys override only their sub-keys.
+
+Examples:
+
+- `tyndp_scenario` is overwritten by the scenario's value.
+- In DE/GA, `electricity.extendable_carriers.Generator` replaces the base list for that path.
+- In DE/GA, `sector.land_transport_ice_share`, `sector.h2_zones_tyndp`, `sector.force_biomass_potential`, `sector.force_biogas_potential`,
+  and `sector.co2_sequestration_potential` override the corresponding base entries.
+- If a key is not present in the scenario block, the base config value remains unchanged.
diff --git a/doc/scenarios.rst b/doc/scenarios.rst
deleted file mode 100644
index 1af17787ba..0000000000
--- a/doc/scenarios.rst
+++ /dev/null
@@ -1,142 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _scenarios:
-
-####################
-Open TYNDP Scenarios
-####################
-
-The modelling for the reference, National Trends+ (NT+), 
-and the deviation, Distributed Energy (DE) and Global Ambition (GA), scenarios
-differ in terms of assumptions, storyline and method (capacity expansion vs dispatch modelling).
-
-Here we explain these modelling differences and how these differences have been implemented into open-tyndp.
-We discuss the relevant configuration settings and the implications of these implementation decisions.
-
-Background information can be found in the report from ENTSO-E and ENTSO-G 
-`TYNDP 2024 Scenarios Methdoology Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2025/01/TYNDP_2024_Scenarios_Methodology_Report_Final_Version_250128.pdf>`__.
-
-A description of the storylines underlying the NT+, DE and GA scenarios can be found in the
-`TYNDP 2024 Scenarios Storyline Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf>`__
-
-National Trends+
-~~~~~~~~~~~~~~~~
-
-The NT+ scenario was developed in alignment with the National Energy and Climate Plans that were available during the development
-of TYNDP 2024 (e.g. during 2023). 
-
-- Uses predefined final energy demands and generation capacity collected from transmission system operators
-- Modelled as a pure dispatch problem, with fixed generation capacities for 2030 and 2040
-- All energy carriers included in final energy demand, not just electricity and gas (as with TYNDP < 2024)
-
-Deviation Scenarios
-~~~~~~~~~~~~~~~~~~~
-
-- Begins with National Trends+ 2030 scenario results for grid topology, generation capacity and final energy demands
-- Uses predefined final energy demands for 2040 and 2050 collected from transmission system operators and public consultation
-- Capacity expansion model is used to identify where and when investment in renewable generation capacity and storage is required
-- Exogenous constraints on generation investment are imposed to force:
-    - no new nuclear power capacity
-    - all existing fossil gas plants are decommissioned
-- Upper and lower bounds are also imposed to force trajectories for
-    - the expansion of solar, wind, prosumer batteries and large scale batteries
-    - H2 import potentials
-
-Distributed Energy
-------------------
-
-.. epigraph::
-
-   *This scenario pictures a pathway achieving EU27 carbon neutrality target by 2050 with
-   higher European Economy. The scenario is driven by a willingness of the society to achieve
-   high levels of independence in terms of energy supply and goods of strategic importance
-   (e. g., industrial and agricultural produce). It translates into both a behavioural shift and
-   strong decentralised drive towards decarbonisation through local initiatives by citizens,
-   communities and businesses, supported by authorities*
-
-   -- `TYNDP 2024 Scenarios Storyline Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf>`__
-
-Global Ambition
----------------
-
-.. epigraph::
-
-   *This scenario pictures a pathway to achieving carbon neutrality by 2050, driven by a fast
-   and global move towards the Paris Agreement targets. It translates into development of a
-   very wide range of technologies (many being centralised) and the use of global energy
-   trade as a tool to accelerate decarbonisation.*
-
-   -- `TYNDP 2024 Scenarios Storyline Report <https://2024.entsos-tyndp-scenarios.eu/wp-content/uploads/2023/12/ENTSOs_TYNDP_2024_Scenarios_Storyline_Report_2023-12-04.pdf>`__
-
-Open TYNDP Implementation
-~~~~~~~~~~~~~~~~~~~~~~~~~
-
-The TYNDP scenarios are defined in ``config/config.tyndp.yaml`` and ``config/scenarios.tyndp.yaml``.
-
-The NT+ scenario is defined in full in ``config/config.tyndp.yaml`` and the modifications to NT+
-to form the two deviation scenarios are defined in ``config/scenarios.tyndp.yaml``.
-
-.. list-table::
-   :widths: 20 80
-   :header-rows: 1
-
-   * - Config Key
-     - Description
-   * - run
-     - Run naming/prefix and scenario file reference; scenarios enabled.
-   * - foresight
-     - Sets planning foresight to myopic.
-   * - tyndp_scenario
-     - Selects TYNDP scenario code (NT).
-   * - scenario
-     - Defines cluster set and planning horizons (2030, 2040).
-   * - countries
-     - Lists modeled countries/regions.
-   * - snapshots
-     - Time span for simulation (2009 calendar year).
-   * - co2_budget
-     - Placeholder (empty).
-   * - electricity
-     - Core electricity settings—network base, extendable/conventional/renewable carriers, TYNDP mappings, storage types, renewable capacity estimation toggle, PECD profiles (years/techs), PEMMDB hydro profiles and capacities (years/techs), transmission limit version.
-   * - atlite
-     - Cutout configuration for weather data (extent, resolution, time).
-   * - links
-     - Default link power limits (``p_max_pu``/``p_min_pu``).
-   * - transmission_projects
-     - Enables projects; all source sets disabled.
-   * - load
-     - Demand source and year availability; default gap fill and adjustments disabled.
-   * - pypsa_eur
-     - Carrier-to-component mappings for imported PyPSA-Eur data.
-   * - biomass
-     - Sustainable/unsustainable biomass shares over time.
-   * - sector
-     - Toggles for sector coupling and detailed demand shares; transport/shipping/aviation settings; CO2 sequestration options; fuels and networks; biomass and e-fuels options; imports; offshore hubs limits.
-   * - costs
-     - Overwrites for lifetimes/efficiencies and CO2 price trajectory.
-   * - clustering
-     - Spatial/temporal clustering and network simplification settings.
-   * - adjustments
-     - Optional scaling factors for sector components; currently off.
-   * - solving
-     - Solver selection and option set (uses HiGHS by default).
-   * - plotting
-     - Thresholds, map projection, balance map settings and factors.
-   * - benchmarking
-     - Enables benchmarking.
-   * - cba
-     - Cost-benefit analysis settings (hurdle costs, horizons, methods, projects, solver options).
-
-The base config is ``config.tyndp.yaml``. The scenario file ``scenarios.tyndp.yaml`` defines per-scenario override blocks (e.g., NT, DE, GA). 
-When a scenario is selected, its keys are merged onto the base config: matching keys override the base values, 
-and nested keys override only their sub-keys.
-
-Examples:
-
-- ``tyndp_scenario`` is overwritten by the scenario's value.
-- In DE/GA, ``electricity.extendable_carriers.Generator`` replaces the base list for that path.
-- In DE/GA, ``sector.land_transport_ice_share``, ``sector.h2_zones_tyndp``, ``sector.force_biomass_potential``, ``sector.force_biogas_potential``, 
-  and ``sector.co2_sequestration_potential`` override the corresponding base entries.
-- If a key is not present in the scenario block, the base config value remains unchanged
diff --git a/doc/sector.md b/doc/sector.md
new file mode 100644
index 0000000000..1038a0fbad
--- /dev/null
+++ b/doc/sector.md
@@ -0,0 +1,253 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Building Sector-Coupled Networks
+
+The preparation process of the sector-coupled version of the PyPSA-Eur energy system model consists of a group of `snakemake` rules which are briefly outlined and explained in detail in the sections below.
+
+Not all data dependencies are shipped with the git repository.
+Instead we provide separate data bundles which can be obtained
+using the `retrieve*` rules ([Retrieving Data](retrieve.md)).
+Having downloaded the necessary data,
+
+- [add_brownfield][] builds and stores the base network with all buses, HVAC lines and HVDC links, while
+
+
+## Rule `add_brownfield`
+
+::: add_brownfield
+
+## Rule `add_existing_baseyear`
+
+::: add_existing_baseyear
+
+## Rule `build_existing_heating_distribution`
+
+::: build_existing_heating_distribution
+
+
+## Rule `build_ammonia_production`
+
+::: build_ammonia_production
+
+## Rule `build_biomass_potentials`
+
+::: build_biomass_potentials
+
+## Rule `build_egs_potentials`
+
+::: build_egs_potentials
+
+## Rule `build_biomass_transport_costs`
+
+::: build_biomass_transport_costs
+
+## Rule `build_clustered_population_layouts`
+
+::: build_clustered_population_layouts
+
+## Rule `build_simplified_population_layouts`
+
+<!-- ::: build_simplified_population_layouts (module not found) -->
+
+## Rule `build_clustered_solar_rooftop_potentials`
+
+::: build_clustered_solar_rooftop_potentials
+
+## Rule `build_cop_profiles`
+
+<!-- ::: build_cop_profiles (directory module, not importable) -->
+
+## Rule `build_direct_heat_source_utilisation_profiles`
+
+::: build_direct_heat_source_utilisation_profiles
+
+## Rule `build_central_heating_temperature_profiles`
+
+<!-- ::: build_central_heating_temperature_profiles (directory module, not importable) -->
+
+## Rule `build_geothermal_heat_potential`
+
+::: build_geothermal_heat_potential
+
+## Rule `build_ates_potentials`
+
+::: build_ates_potentials
+
+## Rule `build_dh_areas`
+
+::: build_dh_areas
+
+## Rule `build_river_heat_potential`
+
+<!-- ::: build_river_heat_potential (module not found) -->
+
+## Rule `build_sea_heat_potential`
+
+<!-- ::: build_sea_heat_potential (module not found) -->
+
+## Rule `build_ptes_operations`
+
+<!-- ::: build_ptes_operations (directory module, not importable) -->
+
+## Rule `build_tes_capacity_profiles`
+
+<!-- ::: build_tes_capacity_profiles (module not found) -->
+
+## Rule `build_eurostat_balances`
+
+::: build_eurostat_balances
+
+## Rule `build_energy_totals`
+
+::: build_energy_totals
+
+## Rule `build_heat_totals`
+
+::: build_heat_totals
+
+## Rule `build_gas_input_locations`
+
+::: build_gas_input_locations
+
+## Rule `build_gas_network`
+
+::: build_gas_network
+
+## Rule `build_daily_heat_demand`
+
+::: build_daily_heat_demand
+
+## Rule `build_hourly_heat_demand`
+
+::: build_hourly_heat_demand
+
+## Rule `build_district_heat_share`
+
+::: build_district_heat_share
+
+## Rule `build_industrial_distribution_key`
+
+::: build_industrial_distribution_key
+
+## Rule `build_industrial_energy_demand_per_country_today`
+
+::: build_industrial_energy_demand_per_country_today
+
+## Rule `build_industrial_energy_demand_per_node_today`
+
+::: build_industrial_energy_demand_per_node_today
+
+## Rule `build_industrial_energy_demand_per_node`
+
+::: build_industrial_energy_demand_per_node
+
+## Rule `build_industrial_production_per_country_tomorrow`
+
+::: build_industrial_production_per_country_tomorrow
+
+## Rule `build_industrial_production_per_country`
+
+::: build_industrial_production_per_country
+
+## Rule `build_industrial_production_per_node`
+
+::: build_industrial_production_per_node
+
+## Rule `build_industry_sector_ratios`
+
+::: build_industry_sector_ratios
+
+## Rule `build_industry_sector_ratios_intermediate`
+
+::: build_industry_sector_ratios_intermediate
+
+## Rule `build_population_layouts`
+
+::: build_population_layouts
+
+## Rule `build_population_weighted_energy_totals`
+
+::: build_population_weighted_energy_totals
+
+## Rule `build_retro_cost`
+
+::: build_retro_cost
+
+## Rule `build_salt_cavern_potentials`
+
+::: build_salt_cavern_potentials
+
+## Rule `build_co2_sequestration_potentials`
+
+::: build_co2_sequestration_potentials
+
+## Rule `build_clustered_co2_sequestration_potentials`
+
+::: build_clustered_co2_sequestration_potentials
+
+## Rule `build_shipping_demand`
+
+::: build_shipping_demand
+
+## Rule `build_solar_thermal_profiles`
+
+::: build_solar_thermal_profiles
+
+## Rule `build_temperature_profiles`
+
+::: build_temperature_profiles
+
+## Rule `build_mobility_profiles`
+
+::: build_mobility_profiles
+
+## Rule `build_transport_demand`
+
+::: build_transport_demand
+
+## Rule `cluster_gas_network`
+
+::: cluster_gas_network
+
+## Rule `build_snapshot_weightings`
+
+::: build_snapshot_weightings
+
+## Rule `build_tyndp_h2_network`
+
+::: build_tyndp_h2_network
+
+## Rule `clean_tyndp_h2_imports`
+
+::: clean_tyndp_h2_imports
+
+## Rule `build_tyndp_h2_imports`
+
+::: build_tyndp_h2_imports
+
+## Rule `build_tyndp_offshore_hubs`
+
+::: build_tyndp_offshore_hubs
+
+## Rule `build_tyndp_h2_demand`
+
+::: build_tyndp_h2_demand
+
+## Rule `group_tyndp_conventionals`
+
+::: group_tyndp_conventionals
+
+## Rule `build_tyndp_gas_demand`
+
+::: build_tyndp_gas_demand
+
+## Rule `prepare_sector_network`
+
+::: prepare_sector_network
+
+## Rule `temporal_aggregation`
+
+::: temporal_aggregation
diff --git a/doc/sector.rst b/doc/sector.rst
deleted file mode 100644
index ea309834d1..0000000000
--- a/doc/sector.rst
+++ /dev/null
@@ -1,314 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Building Sector-Coupled Networks
-##########################################
-
-The preparation process of the sector-coupled version of the PyPSA-Eur energy system model consists of a group of ``snakemake`` rules which are briefly outlined and explained in detail in the sections below.
-
-Not all data dependencies are shipped with the git repository.
-Instead we provide separate data bundles which can be obtained
-using the ``retrieve*`` rules (:ref:`data`).
-Having downloaded the necessary data,
-
-- :mod:`add_brownfield` builds and stores the base network with all buses, HVAC lines and HVDC links, while
-
-
-Rule ``add_brownfield``
-==============================================================================
-
-.. automodule:: add_brownfield
-
-Rule ``add_existing_baseyear``
-==============================================================================
-
-.. automodule:: add_existing_baseyear
-
-Rule ``build_existing_heating_distribution``
-==============================================================================
-
-.. automodule:: build_existing_heating_distribution
-
-
-Rule ``build_ammonia_production``
-==============================================================================
-
-.. automodule:: build_ammonia_production
-
-Rule ``build_biomass_potentials``
-==============================================================================
-
-.. automodule:: build_biomass_potentials
-
-Rule ``build_egs_potentials``
-==============================================================================
-
-.. automodule:: build_egs_potentials
-
-Rule ``build_biomass_transport_costs``
-==============================================================================
-
-.. automodule:: build_biomass_transport_costs
-
-Rule ``build_clustered_population_layouts``
-==============================================================================
-
-.. automodule:: build_clustered_population_layouts
-
-Rule ``build_simplified_population_layouts``
-==============================================================================
-
-.. automodule:: build_simplified_population_layouts
-
-Rule ``build_clustered_solar_rooftop_potentials``
-==============================================================================
-
-.. automodule:: build_clustered_solar_rooftop_potentials
-
-Rule ``build_cop_profiles``
-==============================================================================
-
-.. automodule:: build_cop_profiles
-
-Rule ``build_direct_heat_source_utilisation_profiles``
-==============================================================================
-
-.. automodule:: build_direct_heat_source_utilisation_profiles
-
-Rule ``build_central_heating_temperature_profiles``
-==============================================================================
-
-.. automodule:: build_central_heating_temperature_profiles
-
-Rule ``build_geothermal_heat_potential``
-==============================================================================
-
-.. automodule:: build_geothermal_heat_potential
-
-Rule ``build_ates_potentials``
-==============================================================================
-
-.. automodule:: build_ates_potentials
-
-Rule ``build_dh_areas``
-==============================================================================
-
-.. automodule:: build_dh_areas
-
-Rule ``build_river_heat_potential``
-==============================================================================
-
-.. automodule:: build_river_heat_potential
-
-Rule ``build_sea_heat_potential``
-==============================================================================
-
-.. automodule:: build_sea_heat_potential
-
-Rule ``build_ptes_operations``
-==============================================================================
-
-.. automodule:: build_ptes_operations
-
-Rule ``build_tes_capacity_profiles``
-==============================================================================
-
-.. automodule:: build_tes_capacity_profiles
-
-Rule ``build_eurostat_balances``
-==============================================================================
-
-.. automodule:: build_eurostat_balances
-
-Rule ``build_energy_totals``
-==============================================================================
-
-.. automodule:: build_energy_totals
-
-Rule ``build_heat_totals``
-==============================================================================
-
-.. automodule:: build_heat_totals
-
-Rule ``build_gas_input_locations``
-==============================================================================
-
-.. automodule:: build_gas_input_locations
-
-Rule ``build_gas_network``
-==============================================================================
-
-.. automodule:: build_gas_network
-
-Rule ``build_daily_heat_demand``
-==============================================================================
-
-.. automodule:: build_daily_heat_demand
-
-Rule ``build_hourly_heat_demand``
-==============================================================================
-
-.. automodule:: build_hourly_heat_demand
-
-Rule ``build_district_heat_share``
-==============================================================================
-
-.. automodule:: build_district_heat_share
-
-Rule ``build_industrial_distribution_key``
-==============================================================================
-
-.. automodule:: build_industrial_distribution_key
-
-Rule ``build_industrial_energy_demand_per_country_today``
-==============================================================================
-
-.. automodule:: build_industrial_energy_demand_per_country_today
-
-Rule ``build_industrial_energy_demand_per_node_today``
-==============================================================================
-
-.. automodule:: build_industrial_energy_demand_per_node_today
-
-Rule ``build_industrial_energy_demand_per_node``
-==============================================================================
-
-.. automodule:: build_industrial_energy_demand_per_node
-
-Rule ``build_industrial_production_per_country_tomorrow``
-==============================================================================
-
-.. automodule:: build_industrial_production_per_country_tomorrow
-
-Rule ``build_industrial_production_per_country``
-==============================================================================
-
-.. automodule:: build_industrial_production_per_country
-
-Rule ``build_industrial_production_per_node``
-==============================================================================
-
-.. automodule:: build_industrial_production_per_node
-
-Rule ``build_industry_sector_ratios``
-==============================================================================
-
-.. automodule:: build_industry_sector_ratios
-
-Rule ``build_industry_sector_ratios_intermediate``
-==============================================================================
-
-.. automodule:: build_industry_sector_ratios_intermediate
-
-Rule ``build_population_layouts``
-==============================================================================
-
-.. automodule:: build_population_layouts
-
-Rule ``build_population_weighted_energy_totals``
-==============================================================================
-
-.. automodule:: build_population_weighted_energy_totals
-
-Rule ``build_retro_cost``
-==============================================================================
-
-.. automodule:: build_retro_cost
-
-Rule ``build_salt_cavern_potentials``
-==============================================================================
-
-.. automodule:: build_salt_cavern_potentials
-
-Rule ``build_co2_sequestration_potentials``
-==============================================================================
-
-.. automodule:: build_co2_sequestration_potentials
-
-Rule ``build_clustered_co2_sequestration_potentials``
-==============================================================================
-
-.. automodule:: build_clustered_co2_sequestration_potentials
-
-Rule ``build_shipping_demand``
-==============================================================================
-
-.. automodule:: build_shipping_demand
-
-Rule ``build_solar_thermal_profiles``
-==============================================================================
-
-.. automodule:: build_solar_thermal_profiles
-
-Rule ``build_temperature_profiles``
-==============================================================================
-
-.. automodule:: build_temperature_profiles
-
-Rule ``build_mobility_profiles``
-==============================================================================
-
-.. automodule:: build_mobility_profiles
-
-Rule ``build_transport_demand``
-==============================================================================
-
-.. automodule:: build_transport_demand
-
-Rule ``cluster_gas_network``
-==============================================================================
-
-.. automodule:: cluster_gas_network
-
-Rule ``build_snapshot_weightings``
-==============================================================================
-
-.. automodule:: build_snapshot_weightings
-
-Rule ``build_tyndp_h2_network``
-==============================================================================
-
-.. automodule:: build_tyndp_h2_network
-
-Rule ``clean_tyndp_h2_imports``
-==============================================================================
-
-.. automodule:: clean_tyndp_h2_imports
-
-Rule ``build_tyndp_h2_imports``
-==============================================================================
-
-.. automodule:: build_tyndp_h2_imports
-
-Rule ``build_tyndp_offshore_hubs``
-==============================================================================
-
-.. automodule:: build_tyndp_offshore_hubs
-
-Rule ``build_tyndp_h2_demand``
-==============================================================================
-
-.. automodule:: build_tyndp_h2_demand
-
-Rule ``group_tyndp_conventionals``
-==============================================================================
-
-.. automodule:: group_tyndp_conventionals
-
-Rule ``build_tyndp_gas_demand``
-==============================================================================
-
-.. automodule:: build_tyndp_gas_demand
-
-Rule ``prepare_sector_network``
-==============================================================================
-
-.. automodule:: prepare_sector_network
-
-Rule ``temporal_aggregation``
-==============================================================================
-
-.. automodule:: temporal_aggregation
\ No newline at end of file
diff --git a/doc/solving.md b/doc/solving.md
new file mode 100644
index 0000000000..bbdc47e228
--- /dev/null
+++ b/doc/solving.md
@@ -0,0 +1,22 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Solving Networks
+
+After generating and simplifying the networks they can be solved through the
+rule [solve_network][]  by using the collection rules `solve_elec_networks`
+or `solve_sector_networks`. Moreover, networks can be solved for dispatch-only
+analyses on an already solved network with [solve_operations_network][].
+
+## Rule `solve_network` {#solve}
+
+::: solve_network
+
+## Rule `solve_operations_network` {#solve_operations}
+
+::: solve_operations_network
+
+## Rule `solve_sector_network`
+
+!!! warning
+    More comprehensive documentation for this rule will be released soon.
diff --git a/doc/solving.rst b/doc/solving.rst
deleted file mode 100644
index 35d7f55c8e..0000000000
--- a/doc/solving.rst
+++ /dev/null
@@ -1,32 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Solving Networks
-##########################################
-
-After generating and simplifying the networks they can be solved through the
-rule :mod:`solve_network`  by using the collection rules ``solve_elec_networks``
-or ``solve_sector_networks``. Moreover, networks can be solved for dispatch-only
-analyses on an already solved network with :mod:`solve_operations_network`.
-
-.. _solve:
-
-Rule ``solve_network``
-=========================
-
-.. automodule:: solve_network
-
-.. _solve_operations:
-
-Rule ``solve_operations_network``
-====================================
-
-.. automodule:: solve_operations_network
-
-Rule ``solve_sector_network``
-=============================
-
-.. warning::
-   More comprehensive documentation for this rule will be released soon.
diff --git a/doc/spatial_resolution.md b/doc/spatial_resolution.md
new file mode 100644
index 0000000000..df29eba486
--- /dev/null
+++ b/doc/spatial_resolution.md
@@ -0,0 +1,49 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Spatial resolution {#spatial_resolution}
+
+The default nodal resolution of the model follows the electricity generation and transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur), which clusters down the electricity transmission substations in each European country based on the k-means algorithm (See [cluster_network](https://pypsa-eur.readthedocs.io/en/latest/simplification/cluster_network.html#rule-cluster-network) for a complete explanation). This gives nodes which correspond to major load and generation centres (typically cities).
+
+The total number of nodes for Europe is set in the `config/config.yaml` file under `clusters`. The number of nodes can vary between 37, the number of independent countries / synchronous areas, and several hundred. With 200-300 nodes the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
+
+Exemplary unsolved network clustered to 512 nodes:
+
+![Exemplary unsolved network clustered to 512 nodes](img/base_s_512.png)
+
+Exemplary unsolved network clustered to 37 nodes:
+
+![Exemplary unsolved network clustered to 37 nodes](img/base_s_37.png)
+
+The total number of nodes for Europe is set in the `config/config.yaml` file under [clusters](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L20).  The number of nodes can vary between 37, the number of independent countries/synchronous areas, and several hundred. With 200-300 nodes, the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
+Not all of the sectors are at the full nodal resolution, and some demand for some sectors is distributed to nodes using heuristics that need to be corrected. Some networks are copper-plated to reduce computational times.
+
+Here are some examples of how spatial resolution is set for different sectors in PyPSA-Eur-Sec:
+
+- **Electricity network:** Modeled as nodal.
+
+- **Electricity residential and commercial demand:** Modeled as nodal, distributed in each country based on population and GDP.
+
+- **Electricity distribution network:** Not included in the model, but a link per node can be used to represent energy transferred between distribution and transmission levels (explained more in detail below).
+
+- **Residential and commercial building heating demand:** Modeled as nodal, distributed in each country based on population.
+
+- **Electricity demand in industry:** Modeled as nodal, based on the location of industrial facilities from HotMaps database.
+
+- **Industry demand (heat, chemicals, etc.):** Modeled as nodal, distributed in each country based on locations of industry from HotMaps database.
+
+- **Hydrogen network:** Modeled as nodal (if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L260) file).
+
+- **Methane network:** It can be modeled as a single node for Europe or it can be nodally resolved if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266). One node can be considered reasonable since future demand is expected to be low and no bottlenecks are expected. Also, the nodally resolved methane grid is based on SciGRID_gas data.
+
+- **Solid biomass:** It can be modeled as a single node for Europe or it can be nodally resolved if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270). Nodal modeling includes modeling biomass potential per country (given per country, then distributed by population density within) and the transport of solid biomass between countries.
+
+- **CO2:** It can be modeled as a single node for Europe or it can be nodally resolved with CO2 transport pipelines if activated in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248). It should mentioned that in single node mode a transport and storage cost is added for sequestered CO2, the cost of which can be adjusted in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247).
+
+- **Carbonaceous fuels:** Modeled as a single node for Europe by default, since transport costs for liquids are low and no bottlenecks are expected. Can be regionally resolved in configuration.
+
+**Electricity distribution network**
+
+Contrary to the transmission grid, the grid topology at the distribution level (at and below 110 kV) is not included due to the very high computational burden. However, a link per node can be used (if activated in the [Config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L257) file) to represent energy transferred between distribution and transmission levels at every node. In essence, the total energy capacity connecting the transmission grid and the low-voltage level is optimized. The cost assumptions for this link can be adjusted in Config file [options](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L258), and is currently assumed to be 500 Eur/kW.
+
+Rooftop PV, heat pumps, resistive heater, home batteries chargers for passenger EVs, as well as individual heating technologies (heat pumps and resistive heaters)  are connected to low-voltage level. All the remaining generation and storage technologies are connected to the transmission grid. In practice, this means that the distribution grid capacity is only extended if it is necessary to balance the mismatch between local generation and demand.
diff --git a/doc/spatial_resolution.rst b/doc/spatial_resolution.rst
deleted file mode 100644
index 6d5be817a6..0000000000
--- a/doc/spatial_resolution.rst
+++ /dev/null
@@ -1,53 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _spatial_resolution:
-
-##########################################
-Spatial resolution
-##########################################
-
-The default nodal resolution of the model follows the electricity generation and transmission model `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__, which clusters down the electricity transmission substations in each European country based on the k-means algorithm (See `cluster_network <https://pypsa-eur.readthedocs.io/en/latest/simplification/cluster_network.html#rule-cluster-network>`__ for a complete explanation). This gives nodes which correspond to major load and generation centres (typically cities).
-
-The total number of nodes for Europe is set in the ``config/config.yaml`` file under ``clusters``. The number of nodes can vary between 37, the number of independent countries / synchronous areas, and several hundred. With 200-300 nodes the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
-
-Exemplary unsolved network clustered to 512 nodes:
-
-.. image:: img/elec_s_512.png
-
-Exemplary unsolved network clustered to 37 nodes:
-
-.. image:: img/elec_s_37.png
-
-The total number of nodes for Europe is set in the ``config/config.yaml`` file under `clusters <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L20>`__.  The number of nodes can vary between 37, the number of independent countries/synchronous areas, and several hundred. With 200-300 nodes, the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
-Not all of the sectors are at the full nodal resolution, and some demand for some sectors is distributed to nodes using heuristics that need to be corrected. Some networks are copper-plated to reduce computational times.
-
-Here are some examples of how spatial resolution is set for different sectors in PyPSA-Eur-Sec:
-
-•	Electricity network: Modeled as nodal.
-
-•	Electricity residential and commercial demand: Modeled as nodal, distributed in each country based on population and GDP.
-
-•	Electricity distribution network: Not included in the model, but a link per node can be used to represent energy transferred between distribution and transmission levels (explained more in detail below).
-
-•	Residential and commercial building heating demand: Modeled as nodal, distributed in each country based on population.
-
-•	Electricity demand in industry: Modeled as nodal, based on the location of industrial facilities from HotMaps database.
-
-•	Industry demand (heat, chemicals, etc.) : Modeled as nodal, distributed in each country based on locations of industry from HotMaps database.
-•	Hydrogen network: Modeled as nodal (if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L260>`__ file).
-
-•	Methane network: It can be modeled as a single node for Europe or it can be nodally resolved if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266>`__. One node can be considered reasonable since future demand is expected to be low and no bottlenecks are expected. Also, the nodally resolved methane grid is based on SciGRID_gas data.
-
-•	Solid biomass: It can be modeled as a single node for Europe or it can be nodally resolved if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270>`__. Nodal modeling includes modeling biomass potential per country (given per country, then distributed by population density within) and the transport of solid biomass between countries.
-
-•	CO2: It can be modeled as a single node for Europe or it can be nodally resolved with CO2 transport pipelines if activated in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248>`__. It should mentioned that in single node mode a transport and storage cost is added for sequestered CO2, the cost of which can be adjusted in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247>`__.
-
-•	Carbonaceous fuels: Modeled as a single node for Europe by default, since transport costs for liquids are low and no bottlenecks are expected. Can be regionally resolved in configuration.
-
-**Electricity distribution network**
-
-Contrary to the transmission grid, the grid topology at the distribution level (at and below 110 kV) is not included due to the very high computational burden. However, a link per node can be used (if activated in the `Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L257>`__ file) to represent energy transferred between distribution and transmission levels at every node. In essence, the total energy capacity connecting the transmission grid and the low-voltage level is optimized. The cost assumptions for this link can be adjusted in Config file `options <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L258>`__ , and is currently assumed to be 500 Eur/kW.
-
-Rooftop PV, heat pumps, resistive heater, home batteries chargers for passenger EVs, as well as individual heating technologies (heat pumps and resistive heaters)  are connected to low-voltage level. All the remaining generation and storage technologies are connected to the transmission grid. In practice, this means that the distribution grid capacity is only extended if it is necessary to balance the mismatch between local generation and demand.
diff --git a/doc/supply_demand.md b/doc/supply_demand.md
new file mode 100644
index 0000000000..ba6d365e1f
--- /dev/null
+++ b/doc/supply_demand.md
@@ -0,0 +1,599 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Supply and demand
+
+An initial orientation to the supply and demand options in the model
+PyPSA-Eur-Sec can be found in the description of the model
+PyPSA-Eur-Sec-30 in the paper [Synergies of sector coupling and
+transmission reinforcement in a cost-optimised, highly renewable
+European energy system](https://arxiv.org/abs/1801.05290) (2018).
+The latest version of PyPSA-Eur-Sec differs by including biomass,
+industry, industrial feedstocks, aviation, shipping, better carbon
+management, carbon capture and usage/sequestration, and gas networks.
+
+The basic supply (left column) and demand (right column) options in the model are described in this figure:
+
+![](img/multisector_figure.png)
+
+## Electricity supply and demand {#electricity-supply-and-demand}
+
+Electricity supply and demand follows the electricity generation and
+transmission model [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur),
+except that hydrogen storage is integrated into the hydrogen supply,
+demand and network, and PyPSA-Eur-Sec includes CHPs.
+
+Unlike PyPSA-Eur, PyPSA-Eur-Sec does not distribution electricity demand for industry according to population and GDP, but uses the
+geographical data from the [Hotmaps Industrial Database](https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database).
+
+Also unlike PyPSA-Eur, PyPSA-Eur-Sec subtracts existing electrified heating from the existing electricity demand, so that power-to-heat can be optimised separately.
+
+The remaining electricity demand for households and services is distributed inside each country proportional to GDP and population.
+
+## Heat demand {#heat-demand}
+
+Building heating in residential and services sectors is resolved regionally, both for individual buildings and district heating systems, which include different supply options (see [Heat supply](#heat-supply).)
+Annual heat demands per country are retrieved from [JRC-IDEES](https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en) and split into space and water heating. For space heating, the annual demands are converted to daily values based on the population-weighted Heating Degree Day (HDD) using the [atlite tool](https://github.com/PyPSA/atlite), where space heat demand is proportional to the difference between the daily average ambient temperature (read from [ERA5](https://doi.org/10.1002/qj.3803)) and a threshold temperature above which space heat demand is zero. A threshold temperature of 15 degrees C is assumed by default. The daily space heat demand is distributed to the hours of the day following heat demand profiles from [BDEW](https://github.com/oemof/demandlib). These differ for weekdays and weekends/holidays and between residential and services demand.
+
+*Space heating*
+
+The space heating demand can be exogenously reduced by retrofitting measures that improve the buildings' thermal envelopes.
+
+```yaml
+{{ yaml_section("sector.reduce_space_heat_exogenously", "sector.reduce_space_heat_exogenously_factor") }}
+```
+
+Co-optimsing of building renovation is also possible, if it is activated in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222).
+Renovation of the thermal envelope reduces the space heating demand and is optimised at each node for every heat bus. Renovation measures through additional insulation material and replacement of energy inefficient windows are considered.
+In a first step, costs per energy savings are estimated in [build_retro_cost.py](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_retro_cost.py). They depend on the insulation condition of the building stock and costs for renovation of the building elements. In a second step, for those cost per energy savings two possible renovation strengths are determined: a moderate renovation with lower costs, a lower maximum possible space heat savings, and an ambitious renovation with associated higher costs and higher efficiency gains. They are added by step-wise linearisation in form of two additional generations in [prepare_sector_network.py](https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py).
+Further information are given in the publication :
+[Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021)](https://arxiv.org/abs/2012.01831).
+
+*Water heating*
+
+Hot water demand is assumed to be constant throughout the year.
+
+*Urban and rural heating*
+
+For every country, heat demand is split between low and high population density areas. These country-level totals are then distributed to each region in proportion to their rural and urban populations respectively. Urban areas with dense heat demand can be supplied with large-scale district heating systems. The percentage of urban heat demand that can be supplied by district heating networks as well as lump-sum losses in district heating systems is exogenously determined in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L153).
+
+*Cooling demand*
+
+Cooling is electrified and is included in the electricity demand. Cooling demand is assumed to remain at current levels.  An example of regional distribution of the total heat demand for network 181 regions is depicted below.
+
+![](img/demand-map-heat.png)
+
+As below figure shows, the current total heat demand in Europe is similar to the total electricity demand but features much more pronounced seasonal variations. The current total building heating demand in Europe adds up to 3084 TWh/a of which 78% occurs in urban areas.
+
+![](img/Heat_and_el_demand_timeseries.png)
+
+In practice, in PyPSA-Eur-Sec, there are heat demand buses to which the corresponding heat demands are added.
+
+
+1)	Urban central heat: large-scale district heating networks in urban areas with dense heat population. Residential and services demand in these areas are added as demands to this bus
+2)	Residential urban decentral heat: heating for residential buildings in urban areas not using district heating
+3)	Services urban decentral heat: heating for services buildings in urban areas not using district heating
+4)	Residential rural heat: heating for residential buildings in rural areas with low population density.
+5)	Services rural heat: heating for residential services buildings in rural areas with low population density. Heat demand from agriculture  sector is also included here.
+
+## Heat supply {#heat-supply}
+
+Different supply options are available depending on whether demand is met centrally through district heating systems, or decentrally through appliances in individual buildings.
+
+**Urban central heat**
+
+For large-scale district heating systems the following options are available: combined heat and power (CHP) plants consuming gas or biomass from waste and residues with and without carbon capture (CC), large-scale air-sourced heat pumps, gas and oil boilers, resistive heaters, and fuel cell CHPs. Additionally, waste heat from the [Fischer-Tropsch](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255)  and [Sabatier](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L240) processes for the production of synthetic hydrocarbons can supply district heating systems. For more detailed explanation of these processes, see [Oil-based products supply](#oil-based-products-supply) and [Methane supply](#methane-supply).
+
+**Residential and Urban decentral heat**
+
+Supply options in individual buildings include gas and oil boilers, air- and ground-sourced heat pumps, resistive heaters, and solar thermal collectors.
+Ground-source heat pumps are only allowed in rural areas because of space constraints. Thus, only air- source heat pumps are allowed in urban areas. This is a conservative assumption, since there are many possible sources of low-temperature heat that could be tapped in cities (e.g. waste water, ground water, or natural bodies of water). Costs, lifetimes and efficiencies for these technologies are retrieved from the [technology-data repository](https://github.com/PyPSA/technology-data).
+
+Below are more detailed explanations for each heating supply component, all of which are modelled as [links](https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#link) in PyPSA-Eur-Sec.
+
+### Large-scale CHP {#large-scale-chp}
+
+Large Combined Heat and Power plants are included in the model if it is specified in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L235).
+
+CHPs are based on back pressure plants operating with a fixed ratio of electricity to heat output. The efficiencies of each are given on the back pressure line, where the back pressure coefficient cb is the electricity output divided by the heat output. (For a more complete explanation of the operation of CHPs refer to the study by Dahl et al. : [Cost sensitivity of optimal sector-coupled district heating production systems](https://arxiv.org/pdf/1804.07557.pdf).
+
+PyPSA-Eur-Sec includes CHP plants fueled by methane and solid biomass from waste and residues. Hydrogen fuel cells also produce both electricity and heat.
+
+The methane CHP is modeled on the Danish Energy Agency (DEA) "Gas turbine simple cycle (large)" while the solid biomass CHP is based on the DEA's "09b Wood Pellets Medium". For biomass CHP, cb = [0.46](https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=156) , whereas for gas CHP, cb = [1](https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=64).
+
+NB: The old PyPSA-Eur-Sec-30 model assumed an extraction plant (like the DEA coal CHP) for gas which has flexible production of heat and electricity within the feasibility diagram of Figure 4 in the study by [Brown et al.](https://arxiv.org/abs/1801.05290) We have switched to the DEA back pressure plants since these are more common for smaller plants for biomass, and because the extraction plants were on the back pressure line for 99.5% of the time anyway. The plants were all changed to back pressure in PyPSA-Eur-Sec v0.4.0.
+
+**Micro-CHP**
+
+PyPSA-Eur-Sec allows individual buildings to make use of [micro gas CHPs](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L236) that are assumed to be installed at the distribution grid level.
+
+**Heat pumps**
+
+The coefficient of performance (COP) of air- and ground-sourced heat pumps depends on the ambient or soil temperature respectively. Hence, the COP is a time-varying parameter (refer to [Config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L206) file). Generally, the COP will be lower during winter when temperatures are low. Because the ambient temperature is more volatile than the soil temperature, the COP of ground-sourced heat pumps is less variable. Moreover, the COP depends on the difference between the source and sink temperatures:
+
+$$\Delta T = T_{sink} - T_{source}$$
+
+For the sink water temperature Tsink we assume 55 degrees C ([Config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L207) file). For the time- and location-dependent source temperatures Tsource, we rely on the [ERA5](https://doi.org/10.1002/qj.3803) reanalysis weather data. The temperature differences are converted into COP time series using results from a regression analysis performed in the study by [Stafell et al.](https://pubs.rsc.org/en/content/articlelanding/2012/EE/c2ee22653g). For air-sourced heat pumps (ASHP), we use the function:
+
+$$COP (\Delta T) = 6.81 - 0.121\Delta T + 0.000630\Delta T^2$$
+
+for ground-sourced heat pumps (GSHP), we use the function:
+
+$$COP(\Delta T) = 8.77 - 0.150\Delta T + 0.000734\Delta T^2$$
+
+**Resistive heaters**
+
+Can be activated in Config from the [boilers](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232) option.
+Resistive heaters produce heat with a fixed conversion efficiency (refer to [Technology-data repository](https://github.com/PyPSA/technology-data) ).
+
+**Gas, oil, and biomass boilers**
+
+Can be activated in Config from the [boilers](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232) , [oil boilers](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L233) , and [biomass boiler](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L234) option.
+Similar to resistive heaters, boilers have a fixed efficiency and produce heat using gas, oil or biomass.
+
+**Solar thermal collectors**
+
+Can be activated in the config file from the [solar_thermal](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L237) option.
+Solar thermal profiles are built based on weather data and also have the [options](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L134) for setting the sky model and the orientation of the panel in the config file, which are then used by the atlite tool to calculate the solar resource time series.
+
+**Waste heat from Fuel Cells, Methanation and Fischer-Tropsch plants**
+
+Waste heat from [fuel cells](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256) in addition to processes like [Fischer-Tropsch](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255), methanation, and Direct Air Capture (DAC) is dumped into  district heating networks.
+
+**Existing heating capacities and decommissioning**
+
+For the myopic transition paths, capacities already existing for technologies supplying heat are retrieved from ["Mapping and analyses of the current and future (2020 - 2030)"](https://ec.europa.eu/energy/en/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment) . For the sake of simplicity, coal, oil and gas boiler capacities are assimilated to gas boilers. Besides that, existing capacities for heat resistors, air-sourced and ground-sourced heat pumps are included in the model. For heating capacities, 25% of existing capacities in 2015 are assumed to be decommissioned in every 5-year time step after 2020.
+
+**Thermal Energy Storage**
+
+Activated in Config from the [tes](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L228) option.
+
+Thermal energy can be stored in large water pits associated with district heating systems and individual thermal energy storage (TES), i.e., small water tanks. Water tanks are modelled as [stores](https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#store), which are connected to heat demand buses through water charger/discharger links.
+A thermal energy density of 46.8 kWh $_{th}$/m3 is assumed, corresponding to a temperature difference of 40 K. The decay of thermal energy in the stores: 1- $e^{-1/24\tau}$ is assumed to have a time constant  of  $\tau$=180 days for central TES and  $\tau$=3 days for individual TES, both modifiable through [tes_tau](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L229) in config file. Charging and discharging efficiencies are 90% due to pipe losses.
+
+**Residential Heat Demand-Side Management (DSM)**
+
+Can be activated in the [config file](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml) through the `residential_heat: dsm` option (default: false).
+
+Residential heat demand-side management allows electric heating systems to provide flexibility to the energy system by shifting heat demand within configurable time windows while maintaining thermal comfort. This feature models the thermal mass of buildings as an energy storage capability, enabling residential electric heating to operate more flexibly in response to electricity price signals and renewable generation variability.
+
+*Implementation approach*
+
+The implementation is based on the [smartEn/DNV methodology](https://smarten.eu/wp-content/uploads/2022/10/SmartEN-DSF-benefits-2030-Report_DIGITAL-1.pdf) (see Appendix A, Section 1.1.2.5 "Residential electric heating" and page 17 Section 3.6) for quantifying demand-side flexibility benefits from residential heat pumps in the European energy system. The study estimates 195.5 TWh of annual flexibility potential for EU27 heat pumps using 12-hour load shifting constraints. Building thermal mass is represented as energy stores connected to residential heat buses, with time-varying availability constraints that enforce consumption requirements within defined periods.
+
+*Time windows and constraints*
+
+Heat demand can be shifted within configurable time periods to avoid buildings acting as long-term seasonal storage. By default, 12-hour periods are used:
+
+- **Day period**: 10am (10:00) to 10pm (22:00)
+- **Night period**: 10pm (22:00) to 10am (10:00)
+
+At the boundaries between these periods (configured via [residential_heat_restriction_time](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml), default: [10, 22] corresponding to 10am and 10pm local time of each country/bus), the thermal storage state of charge must return to its baseline level. The implementation automatically adjusts these checkpoint hours to each country's local timezone, ensuring consistent behavioral patterns across different regions. This ensures that heat consumption requirements are met within each time window while allowing temporal load shifting for demand response. Users can adjust the checkpoint hours to create different period lengths as needed.
+
+*Storage capacity and flexibility magnitude*
+
+The flexibility storage capacity is sized based on the maximum residential space heating demand at each node. The actual available flexibility is constrained by the [residential_heat_restriction_value](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml) parameter, which sets the maximum state of charge as a fraction of the storage capacity.
+
+For instance, a value of 0.27 would represent a conservative assumption for the thermal buffer capacity available in residential buildings, balancing flexibility potential against thermal comfort constraints. This parameter is user-configurable and can be adjusted based on specific assumptions about building thermal mass, insulation quality, and acceptable temperature variations. Setting it to 0 disables heat flexibility, while values closer to 1.0 allow greater load shifting (though this may require stronger assumptions about building characteristics and occupant comfort tolerance).
+
+*Thermal characteristics*
+
+Thermal losses are modeled using the same standing loss rates as decentralized water tank storage (a simplifying assumption that likely underestimates actual building losses). The storage is cyclic, meaning the state of charge at the end of the optimization period must equal that at the beginning.
+
+*Applicable heat systems*
+
+Residential heat DSM is available for the following heat systems when enabled:
+
+- Residential rural heating
+- Residential urban decentral heating
+- Urban central (district) heating
+
+Services sector heating is currently excluded as a conservative modeling choice.
+
+*Benefits and use cases*
+
+Heat DSM provides several system benefits:
+
+- Load shifting to periods of high renewable generation
+- Peak demand reduction during high-price periods
+- Integration support for variable renewable energy
+- Reduced need for backup generation capacity
+- Lower overall system costs through temporal optimization
+
+The feature is particularly valuable in scenarios with high renewable penetration, where flexible demand can absorb surplus generation and reduce curtailment.
+
+*Configuration example*
+
+```yaml
+{{ yaml_section("biomass.share_unsustainable_use_retained") }}
+```
+
+*References*
+
+The methodology follows the approach proposed by Y. Akhmetov *et al.* (2025) in ["Flattening the peak demand curve through energy efficient buildings: A holistic approach towards net-zero carbon"](https://www.sciencedirect.com/science/article/pii/S0306261925001515), and builds upon assumptions from smartEn and DNV (2022), "Demand-side flexibility in the EU: Quantification of benefits in 2030".
+
+In this framework, heat pumps are assumed to provide flexibility to the energy system within daily operational constraints, represented by two time windows: from 9 am to 9 pm, and 9 pm to 9 am. These time windows are parametrizable, allowing sensitivity analyses of different flexibility periods.
+
+The potential for heat demand shifting is derived from the projected roll-out of heat pumps, as outlined in the European Commissions *Impact Assessment Report on the Heat Pump Action Plan* ([see page 55, Fig. 44](https://eur-lex.europa.eu/resource.html?uri=cellar:6c154426-c5a6-11ee-95d9-01aa75ed71a1.0001.02/DOC_3&format=PDF)). The projected number of installed heat pumps is translated into the share of electrified households capable of participating in demand-side management (DSM).
+
+For example, a projected **58 million heat pumps** in 2030 corresponds to:
+
+`58 million / 202 million households in the EU = 28 %`
+
+Thus, approximately 28 % of EU households are assumed to contribute to the residential DSM potential by 2030.
+
+**Retrofitting of the thermal envelope of buildings**
+
+Co-optimising building renovation is only enabled if in the [config](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222) file. To reduce the computational burden,
+default setting is set as false.
+
+Renovation of the thermal envelope reduces the space heating demand and is
+optimised at each node for every heat bus. Renovation measures through additional
+insulation material and replacement of energy inefficient windows are considered.
+
+In a first step, costs per energy savings are estimated in the [build_retro_cost.py](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_retro_cost.py) script.
+They depend on the insulation condition of the building stock and costs for
+renovation of the building elements.
+In a second step, for those cost per energy savings two possible renovation
+strengths are determined: a moderate renovation with lower costs and lower
+maximum possible space heat savings, and an ambitious renovation with associated
+higher costs and higher efficiency gains. They are added by step-wise
+linearisation in form of two additional generations in
+the  [prepare_sector_network.py](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1600)  script.
+
+Settings in the `config/config.yaml` concerning the endogenously optimisation of building
+renovation include [cost factor](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L223), [interest rate](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L224), [annualised cost](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L225), [tax weighting](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L226), and [construction index](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L227).
+
+Further information are given in the study by Zeyen et al. : [Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021)](https://arxiv.org/abs/2012.01831).
+
+## Hydrogen demand {#hydrogen-demand}
+
+Hydrogen is consumed in the industry sector (see [Industry demand](#industry-demand)) to produce ammonia (see [Chemicals Industry](#chemicals-industry)) and direct reduced iron (DRI) (see [Iron and Steel](#iron-and-steel)). Hydrogen is also consumed to produce synthetic methane (see [Methane supply](#methane-supply)) and liquid hydrocarbons (see [Oil-based products supply](#oil-based-products-supply)) which have multiple uses in industry and other sectors.
+Hydrogen is also used for transport applications (see [Transportation](#transportation)), where it is exogenously fixed. It is used in [heavy-duty land transport](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181) and as liquified hydrogen in the shipping sector (see [Shipping](#shipping)). Furthermore, stationary fuel cells may re-electrify hydrogen (with waste heat as a byproduct) to balance renewable fluctuations (see [Electricity supply and demand](#electricity-supply-and-demand)). The waste heat from the stationary fuel cells can be used in [district-heating systems](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256).
+
+## Hydrogen supply {#hydrogen-supply}
+
+Today, most of the $H_2$ consumed globally is produced from natural gas by steam methane reforming (SMR)
+
+$$CH_4 + H_2O \xrightarrow{} CO + 3H_2$$
+
+combined with a water-gas shift reaction
+
+$$CO + H_2O \xrightarrow{} CO_2 + H_2$$
+
+
+SMR is included [here](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L245).
+PyPSA-Eur-Sec allows this route of $H_2$ production with and without [carbon capture (CC)] (see [Carbon dioxide capture, usage and sequestration (CCU/S)](#carbon-dioxide-capture-usage-and-sequestration-ccus)). These routes are often referred to as blue and grey hydrogen. Here, methane input can be both of fossil or synthetic origin.
+
+Green hydrogen can be produced by electrolysis to split water into hydrogen and oxygen
+
+$$2H_2O \xrightarrow{} 2H_2 + O_2$$
+
+
+For the electrolysis, alkaline electrolysers are chosen since they have lower cost and higher cumulative installed capacity than polymer electrolyte membrane (PEM) electrolysers. The techno-economic assumptions are taken from the technology-data repository. Waste heat from electrolysis is not leveraged in the model.
+
+**Transport**
+
+Hydrogen is transported by pipelines. $H_2$ pipelines are endogenously generated, either via a  greenfield $H_2$ network, or by [retrofitting natural gas pipelines](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L262)). Retrofitting is implemented in such a way that for every unit of decommissioned gas pipeline, a share (60% is used in the study by  [Neumann et al.](https://arxiv.org/abs/2207.05816)) of its nominal capacity (exogenously determined in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266).) is available for hydrogen transport. When the gas network is not resolved, this input denotes the potential for gas pipelines repurposed into hydrogen pipelines.
+New pipelines can be built additionally on all routes where there currently is a gas or electricity network connection. These new pipelines will be built where no sufficient retrofitting options are available. The capacities of new and repurposed pipelines are a result of the optimisation.
+
+**Storage**
+
+Hydrogen can be stored in overground steel tanks or [underground salt caverns](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L250). For the latter, energy storage capacities in every country are limited to the potential estimation for onshore salt caverns within [50 km](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L251) of shore to avoid environmental issues associated with brine solution disposal. Underground storage potentials for hydrogen in European salt caverns is acquired from [Caglayan et al.](https://doi.org/10.1016/j.ijhydene.2019.12.161)
+
+## Methane demand {#methane-demand}
+
+Methane is used in individual and large-scale gas boilers, in CHP plants with and without carbon capture, in OCGT and CCGT power plants, and in some industry subsectors for the provision of high temperature heat (see [Industry demand](#industry-demand)). Methane is not used in the transport sector because of engine slippage.
+
+## Methane supply {#methane-supply}
+
+In addition to methane from fossil origins, the model also considers biogenic and synthetic sources. [The gas network can either be modelled, or it can be assumed that gas transport is not limited](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261). If gas infrastructure is regionally resolved, fossil gas can enter the system only at existing and planned LNG terminals, pipeline entry-points, and intra- European gas extraction sites, which are retrieved from the SciGRID Gas IGGIELGN dataset and the GEM Wiki.
+Biogas can be upgraded to methane.
+Synthetic methane can be produced by processing hydrogen and captures $CO_2$ in the Sabatier reaction
+
+$$CO_2 + 4H_2 \xrightarrow{} CH_4 + 2H_2O$$
+
+
+Direct power-to-methane conversion with efficient heat integration developed in the HELMETH project is also an option. The share of synthetic, biogenic and fossil methane is an optimisation result depending on the techno-economic assumptions.
+
+*Methane transport*
+
+The existing European gas transmission network is represented based on the SciGRID Gas IGGIELGN dataset. This dataset is based on compiled and merged data from the ENTSOG maps  and other publicly available data sources. It includes data on the capacity, diameter, pressure, length, and directionality of pipelines. Missing capacity data is conservatively inferred from the pipe diameter following conversion factors derived from an EHB report. The gas network is clustered to the selected number of model regions. Gas pipelines can be endogenously expanded or repurposed for hydrogen transport. Gas flows are represented by a lossless transport model. Methane is assumed to be transmitted without cost or capacity constraints because future demand is predicted to be low compared to available transport capacities.
+
+The following figure shows the unclustered European gas transmission network based on the SciGRID Gas IGGIELGN dataset. Pipelines are color-coded by estimated capacities. Markers indicate entry-points, sites of fossil resource extraction, and LNG terminals.
+
+![](img/gas_pipeline_figure.png)
+
+## Biomass Supply {#biomass-supply}
+
+Biomass supply potentials for each European country are taken from the [JRC ENSPRESO database](http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f) where data is available for various years (2010, 2020, 2030, 2040 and 2050) and scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found [here](https://publications.jrc.ec.europa.eu/repository/handle/JRC98626).
+
+## Biomass demand {#biomass-demand}
+
+
+Biomass supply potentials for every NUTS2 region are taken from the [JRC ENSPRESO database](http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f) where data is available for various years (2010, 2020, 2030, 2040 and 2050) and different availability scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found [here](https://publications.jrc.ec.europa.eu/repository/handle/JRC98626). The data for NUTS2 regions is mapped to PyPSA-Eur-Sec model regions in proportion to the area overlap.
+
+
+The desired scenario can be selected in the PyPSA-Eur-Sec [configuration](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108). The script for building the biomass potentials from the JRC ENSPRESO data base is located [here](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_potentials.py#L43). Consult the script to see the keywords that specify the scenario options.
+
+
+The [configuration](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108) also allows the user to define how the various types of biomass are used in the model by using the following categories: biogas, solid biomass, and not included. Feedstocks categorized as biogas, typically manure and sludge waste, are available to the model as biogas, which can be upgraded to biomethane. Feedstocks categorized as solid biomass, e.g. secondary forest residues or municipal waste, are available for combustion in combined-heat-and power (CHP) plants and for medium temperature heat (below 500 degrees C) applications in industry. It can also converted to gas or liquid fuels.
+
+
+Feedstocks labeled as not included are ignored by the model.
+
+
+A [typical use case for biomass](https://arxiv.org/abs/2109.09563) would be the medium availability scenario for 2030 where only residues from agriculture and forestry as well as biodegradable municipal waste are considered as energy feedstocks. Fuel crops are avoided because they compete with scarce land for food production, while primary wood, as well as wood chips and pellets, are avoided because of concerns about sustainability. See the supporting materials of the [paper](https://www.sciencedirect.com/science/article/pii/S1364032117302034) for more details.
+
+
+*Solid biomass conversion and use*
+
+Solid biomass can be used directly to provide process heat up to 500 degrees C in the industry. It can also be burned in CHP plants and boilers associated with heating systems. These technologies are described elsewhere (see [Large-scale CHP](#large-scale-chp) and [Industry demand](#industry-demand)).
+
+
+Solid biomass can be converted to syngas if the option is enabled in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L274). In this case the model will enable the technology BioSNG both with and without the option for carbon capture (see [Technology-data repository](https://github.com/PyPSA/technology-data)).
+
+
+Liquefaction of solid biomass [can be enabled](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L273) allowing the model to convert it into liquid hydrocarbons that can replace conventional oil products. This technology also comes with and without carbon capture (see [Technology-data repository](https://github.com/PyPSA/technology-data)).
+
+
+*Transport of solid biomass*
+
+The transport of solid biomass can either be assumed unlimited between countries or it can be associated with a country specific cost per MWh/km. In the config file these options are toggled [here](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270). If the option is off, use of solid biomass is transport. If it is turned on, a biomass transport network will be [created](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1803) between all nodes. This network resembles road transport of biomass and the cost of transportation is a variable cost which is proportional to distance and a country specific cost per MWh/km. The latter is [estimated](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_transport_costs.py) from the country specific costs per ton/km used in the publication ["The JRC-EU-TIMES model. Bioenergy potentials for EU and neighbouring countries"](https://publications.jrc.ec.europa.eu/repository/handle/JRC98626).
+
+*Biogas transport and use*
+
+Biogas will be aggregated into a common European resources if a gas network is not modelled explicitly, i.e., the [gas_network](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261) option is set to false. If, on the other hand, a gas network is included, the biogas potential will be associated with each node of origin.
+The model can only use biogas by first upgrading it to natural gas quality (see [Methane supply](#methane-supply)) (bio methane) which is fed into the general gas network.
+
+## Oil-based products demand {#oil-based-products-demand}
+
+Naphtha is used as a feedstock in the chemicals industry (see [Chemicals Industry](#chemicals-industry)). Furthermore, kerosene is used as transport fuel in the aviation sector (see [Aviation](#aviation)). Non-electrified agriculture machinery also consumes gasoline.
+Land transport (see [Land transport](#land-transport))  that is not electrified or converted into using $H_2$-fuel cells also consumes oil-based products. While there is regional distribution of demand, the carrier is copperplated in the model, which means that transport costs and constraints are neglected.
+
+## Oil-based products supply {#oil-based-products-supply}
+
+Oil-based products can be either of fossil origin or synthetically produced by combining $H_2$ (see [Hydrogen supply](#hydrogen-supply)) and captured $CO_2$ (see [Carbon dioxide capture, usage and sequestration (CCU/S)](#carbon-dioxide-capture-usage-and-sequestration-ccus)) in Fischer-Tropsch plants
+
+$$nCO+(2n+1)H_2 \rightarrow C_{n}H_{2n + 2}  +nH_2O$$
+
+
+with costs as included from the [technology-data repository](https://github.com/PyPSA/technology-data/blob/master/latex_tables/tables_in_latex.pdf). The waste heat from the Fischer-Tropsch process is supplied to [district heating networks](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255). The share of fossil and synthetic oil is an optimisation result depending on the techno-economic assumptions.
+
+
+*Oil-based transport*
+
+Liquid hydrocarbons are assumed to be transported freely among the model region since future demand is predicted to be low, transport costs for liquids are low and no bottlenecks are expected.
+
+## Industry demand {#industry-demand}
+
+Industry demand is split into a dozen different sectors with specific energy demands, process
+emissions of carbon dioxide, as well as existing and prospective mitigation strategies.
+
+The Subsection overview below provides a general description of the modelling approach for the industry sector. The following subsections describe the current energy demands, available mitigation strategies, and whether mitigation is exogenously fixed or co-optimised with the other components of the model for each industry subsector in more detail. See details for Iron and Steel (see [Iron and Steel](#iron-and-steel)), Chemicals Industry and Ammonia (see [Chemicals Industry](#chemicals-industry)), Non-metallic Mineral products , Non-ferrous Metals , and other Industry Subsectors.
+
+### Overview {#overview}
+
+Greenhouse gas emissions associated with industry can be classified into energy-related and process-related emissions. Today, fossil fuels are used for process heat energy in the chemicals industry, but also as a non-energy feedstock for chemicals like ammonia ( $NH_3$), ethylene ( $C_2H_4$) and methanol ( $CH_3OH$). Energy-related emissions can be curbed by using low-emission energy sources. The only option to reduce process-related emissions is by using an alternative manufacturing process or by assuming a certain rate of recycling so that a lower amount of virgin material is needed.
+
+The overarching modelling procedure can be described as follows. First, the energy demands and process emissions for every unit of material output are estimated based on data from the [JRC-IDEES database](https://data.europa.eu/doi/10.2760/182725) and the fuel and process switching described in the subsequent sections. Second, the 2050 energy demands and process emissions are calculated using the per-unit-of-material ratios based on the industry transformations and the [country-level material production in 2015](https://data.europa.eu/doi/10.2760/182725), assuming constant material demand.
+
+Missing or too coarsely aggregated data in the JRC-IDEES database is supplemented with additional datasets: [Eurostat energy balances](https://ec.europa.eu/eurostat/web/energy/data/energy-balances), [United States](https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx),  [Geological Survey](https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx) for ammonia production, [DECHEMA](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf) for methanol and chlorine, and [national statistics from Switzerland](https://www.bfe.admin.ch/bfe/de/home/versorgung/statistik-und-geodaten/energiestatistiken.html).
+
+
+Where there are fossil and electrified alternatives for the same process (e.g. in glass manufacture or drying), we assume that the process is completely electrified. Current electricity demands (lighting, air compressors, motor drives, fans, pumps) will remain electric. Processes that require temperatures below 500 degrees C are supplied with solid biomass, since we assume that residues and wastes are not suitable for high-temperature applications. We see solid biomass use primarily in the pulp and paper industry, where it is already widespread, and in food, beverages and tobacco, where it replaces natural gas. Industries which require high temperatures (above 500 degrees C), such as metals, chemicals and non-metallic minerals are either electrified where suitable processes already exist, or the heat is provided with synthetic methane.
+
+Hydrogen for high-temperature process heat is not part of the model currently.
+
+Where process heat is required, our approach depends on the necessary temperature. For example, due to the high share of high-temperature process heat demand  (see [Naegler et al.](https://doi.org/10.1002/er.3436) and [Rehfeldt el al.](https://link.springer.com/article/10.1007/s12053-017-9571-y)), we disregard geothermal and solar thermal energy as sources for process heat since they cannot attain high-temperature heat.
+
+The following figure shows the final consumption of energy and non-energy feedstocks in industry today in comparison to the scenario in 2050 assumed in [Neumann et al](https://arxiv.org/abs/2207.05816).
+
+![](img/fec_industry_today_tomorrow.png)
+
+
+The following figure shows the process emissions in industry today (top bar) and in 2050 without
+carbon capture (bottom bar) assumed in [Neumann et al](https://arxiv.org/abs/2207.05816).
+
+
+
+
+![](img/process-emissions.png)
+
+
+Inside each country the industrial demand is then distributed using the [Hotmaps Industrial Database](https://zenodo.org/records/4687147#.YvOaxhxBy5c), which is illustrated in the figure below. This open database includes georeferenced industrial sites of energy-intensive industry sectors in EU28, including cement, basic chemicals, glass, iron and steel, non-ferrous metals, non-metallic minerals, paper, and refineries subsectors. The use of this spatial dataset enables the calculation of regional and process-specific energy demands. This approach assumes that there will be no significant migration of energy-intensive industries.
+
+![](img/hotmaps.png)
+
+
+### Iron and Steel {#iron-and-steel}
+
+Two alternative routes are used today to manufacture steel in Europe. The primary route (integrated steelworks) represents 60% of steel production, while the secondary route (electric arc furnaces, EAF), represents the other 40% [(Lechtenboehmer et. al)](https://doi.org/10.1016/j.energy.2016.07.110).
+
+The primary route uses blast furnaces in which coke is used to reduce iron ore into molten iron, which is then converted into steel:
+
+$$CO_2 + C \xrightarrow{} 2 CO$$
+
+$$3 Fe_2O_3 + CO  \xrightarrow{} 2 Fe_3O_4 + CO$$
+
+$$Fe_3O_4 + CO  \xrightarrow{} 3 FeO + CO_2$$
+
+$$FeO + CO  \xrightarrow{} Fe + CO_2$$
+
+The primary route of steelmaking implies large process emissions of 0.22 t $_{CO_2}$ /t of steel, amounting to 7% of global greenhouse gas emissions [(Vogl et. al)](https://doi.org/10.1016/j.joule.2021.09.007).
+
+In the secondary route, electric arc furnaces are used to melt scrap metal. This limits the $CO_2$ emissions to the burning of graphite electrodes [(Friedrichsen et. al)](https://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for), and reduces process emissions to 0.03 t $_{CO_2}$ /t of steel.
+
+We assume that the primary route can be replaced by a third route in 2050, using direct reduced iron (DRI) and subsequent processing in an EAF.
+
+$$3 Fe_2O_3 + H_2 \xrightarrow{} 2 Fe_3O_4 + H_2O$$
+
+$$Fe_3O_4 +H_2  \xrightarrow{} 3FeO+H_2O$$
+
+$$FeO + H_2  \xrightarrow{} Fe + H_2O$$
+
+This circumvents the process emissions associated with the use of coke. For hydrogen- based DRI, we assume energy requirements of 1.7 MWh $_{H_2}$ /t steel [(Vogl et. al)](https://doi.org/10.1016/j.jclepro.2018.08.279) and 0.322 MWh $_{el}$/t steel [(HYBRIT 2016)](https://dh5k8ug1gwbyz.cloudfront.net/uploads/2021/02/Hybrit-broschure-engelska.pdf).
+
+
+The share of steel produced via the primary route is exogenously set in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L279). The share of steel obtained via hydrogen-based DRI plus EAF is also set exogenously in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L287). The remaining share is manufactured through the secondary route using scrap metal in EAF. Bioenergy as alternative to coke in blast furnaces is not considered in the model ([Mandova et.al](https://doi.org/10.1016/j.biombioe.2018.04.021), [Suopajaervi et.al](https://doi.org/10.1016/j.apenergy.2018.01.060)).
+
+For the remaining subprocesses in this sector, the following transformations are assumed. Methane is used as energy source for the smelting process. Activities associated with furnaces, refining and rolling, and product finishing are electrified assuming the current efficiency values for these cases. These transformations result in changes in process emissions as outlined in the process emissions figure presented in the industry overview section (see [Overview](#overview)).
+
+### Chemicals Industry {#chemicals-industry}
+
+The chemicals industry includes a wide range of diverse industries, including the production of basic organic compounds (olefins, alcohols, aromatics), basic inorganic compounds (ammonia, chlorine), polymers (plastics), and end-user products (cosmetics, pharmaceutics).
+
+The chemicals industry consumes large amounts of fossil-fuel based feedstocks (see [Levi et. al](https://pubs.acs.org/doi/10.1021/acs.est.7b04573)), which can also be produced from renewables as outlined for hydrogen (see [Hydrogen supply](#hydrogen-supply)), for methane (see [Methane supply](#methane-supply)), and for oil-based products (see [Oil-based products supply](#oil-based-products-supply)). The ratio between synthetic and fossil-based fuels used in the industry is an endogenous result of the optimisation.
+
+The basic chemicals consumption data from the [JRC IDEES](https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en) database comprises high- value chemicals (ethylene, propylene and BTX), chlorine, methanol and ammonia. However, it is necessary to separate out these chemicals because their current and future production routes are different.
+
+Statistics for the production of ammonia, which is commonly used as a fertilizer, are taken from the [USGS](https://www.usgs.gov/media/files/nitrogen-2017-xlsx) for every country. Ammonia can be made from hydrogen and nitrogen using the Haber-Bosch process.
+
+$$N_2 + 3H_2 \xrightarrow{}  2NH_3$$
+
+
+
+The Haber-Bosch process is not explicitly represented in the model, such that demand for ammonia enters the model as a demand for hydrogen ( 6.5 MWh $_{H_2}$ / t $_{NH_3}$ ) and electricity ( 1.17 MWh $_{el}$ /t $_{NH_3}$ ) (see [Wang et. al](https://doi.org/10.1016/j.joule.2018.04.017)). Today, natural gas dominates in Europe as the source for the hydrogen used in the Haber-Bosch process, but the model can choose among the various hydrogen supply options described in the hydrogen section (see [Hydrogen supply](#hydrogen-supply))
+
+The total production and specific energy consumption of chlorine and methanol is taken from a [DECHEMA report](https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf). According to this source, the production of chlorine amounts to 9.58 MtCl/a, which is assumed to require electricity at 3.6 MWh $_{el}$/t of chlorine and yield hydrogen at 0.937 MWh $_{H_2}$/t of chlorine in the chloralkali process. The production of methanol adds up to 1.5 MtMeOH/a. Low-carbon methanol production (or methanolisation) by hydrogenation of $CO_2$ requires hydrogen at 6.299 MWh $_{H_2}$/t of methanol, carbon dioxide at 1.373 t $_{CO_2}$/t of methanol and electricity at 1.5 MWh $_{el}$/t of methanol. The energy content of methanol is 5.528 MWh $_{MeOH}$/t of methanol. These values are set exogenously in the config file.
+
+The production of ammonia, methanol, and chlorine production is deducted from the JRC IDEES basic chemicals, leaving the production totals of high-value chemicals. For this, we assume that the liquid hydrocarbon feedstock comes from synthetic or fossil- origin naphtha (14 MWh $_{naphtha}$/t of HVC, similar to [Lechtenboehmer et al](https://doi.org/10.1016/j.energy.2016.07.110)), ignoring the methanol-to-olefin route. Furthermore, we assume the following transformations of the energy-consuming processes in the production of plastics: the final energy consumption in steam processing is converted to methane since requires temperature above 500 degrees C (4.1 MWh $_{CH_4}$ /t of HVC, see [Rehfeldt et al.](https://doi.org/10.1007/s12053-017-9571-y)); and the remaining processes are electrified using the current efficiency of microwave for high-enthalpy heat processing, electric furnaces, electric process cooling and electric generic processes (2.85 MWh $_{el}$/t of HVC).
+
+The process emissions from feedstock in the chemical industry are as high as 0.369 t $_{CO_2}$/t of ethylene equivalent. We consider process emissions for all the material output, which is a conservative approach since it assumes that all plastic-embedded $CO_2$ will eventually be released into the atmosphere. However, plastic disposal in landfilling will avoid, or at least delay, associated $CO_2$ emissions.
+
+Circular economy practices drastically reduce the amount of primary feedstock needed for the production of plastics in the model (see [Kullmann et al.](https://doi.org/10.1016/j.energy.2022.124660), [Meys et al. (2021)](https://doi.org/10.1126/science.abg9853), [Meys et al. (2020)](https://doi.org/10/gmxv6z), [Gu et al.](https://doi.org/10/gf8n9w)) and consequently, also the energy demands and level of process emission. The percentage of plastics that are assumed to be mechanically recycled can be selected in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L315), as well as
+the percentage that is chemically recycled, see [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L316) The energy consumption for those recycling processes are respectively 0.547 MWh $_{el}$/t of HVC (as indicated in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L318)) ([Meys et al. (2020)](https://doi.org/10/gmxv6z)), and 6.9 MWh $_{el}$/t of HVC (as indicated in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L319)) based on pyrolysis and electric steam cracking (see [Materials Economics](https://materialeconomics.com/publications/industrial-transformation-2050) report).
+
+
+**Non-metallic Mineral Products**
+
+This subsector includes the manufacturing of cement, ceramics, and glass.
+
+*Cement*
+
+Cement is used in construction to make concrete. The production of cement involves high energy consumption and large process emissions. The calcination of limestone to chemically reactive calcium oxide, also known as lime, involves process emissions of 0.54 t $_{CO_2}$ /t cement (see [Akhtar et al.](https://doi.org/10.1109/CITCON.2013.6525276).
+
+
+$$CaCO_3 \xrightarrow{}  CaO + CO_2$$
+
+
+Additionally, $CO_2$ is emitted from the combustion of fossil fuels to provide process heat. Thereby, cement constitutes the biggest source of industry process emissions in Europe.
+
+Cement process emissions can be captured assuming a capture rate of 90%. Whether emissions are captured is decided by the model taking into account the capital costs of carbon capture modules. The electricity and heat demand of process emission carbon capture is currently ignored. For net-zero emission scenarios, the remaining process emissions need to be compensated by negative emissions.
+
+With the exception of electricity demand and biomass demand for low-temperature heat (0.06 MWh/t and 0.2 MWh/t), the final energy consumption of this subsector is assumed to be supplied by methane (0.52 MWh/t), which is capable of delivering the required high-temperature heat. This implies a switch from burning solid fuels to burning gas which will require adjustments of the kilns. The share of fossil vs. synthetic methane consumed is a result of the optimisation
+
+
+*Ceramics*
+
+The ceramics sector is assumed to be fully electrified based on the current efficiency of already electrified processes which include microwave drying and sintering of raw materials, electric kilns for primary production processes, electric furnaces for the [product finishing](https://data.europa.eu/doi/10.2760/182725). In total, the final electricity consumption is 0.44 MWh/t of ceramic. The manufacturing of ceramics includes process emissions of 0.03 t $_{CO_2}$/t of ceramic. For a detailed overview of the ceramics industry sector see [Furszyfer Del Rio et al](https://doi.org/10.1016/j.rser.2021.111885).
+
+*Glass*
+
+The production of glass is assumed to be fully electrified based on the current efficiency of electric melting tanks and electric annealing which adds up to an electricity demand of 2.07 MWh $_{el}$/t of [glass](https://doi.org/10/f9df2m). The manufacturing of glass incurs process emissions of 0.1 t $_{CO_2}$/t of glass. Potential efficiency improvements, which according to [Lechtenboehmer et al](https://doi.org/10/f9df2m) could reduce energy demands to 0.85 MW $_{el}$/t of glass, have not been considered. For a detailed overview of the glass industry sector see [Furszyfer Del Rio et al](https://doi.org/10.1016/j.rser.2021.111885).
+
+
+**Non-ferrous Metals**
+
+The non-ferrous metal subsector includes the manufacturing of base metals (aluminium, copper, lead, zinc), precious metals (gold, silver), and technology metals (molybdenum, cobalt, silicon).
+
+The manufacturing of aluminium accounts for more than half of the final energy consumption of this subsector. Two alternative processing routes are used today to manufacture aluminium in Europe. The primary route represents 40% of the aluminium pro- duction, while the secondary route represents the remaining 60%.
+
+The primary route involves two energy-intensive processes: the production of alumina from bauxite (aluminium ore) and the electrolysis to transform alumina into aluminium via the Hall-Heroult process
+
+$$2Al_2O_3 +3C \xrightarrow{}  4Al+3CO_2$$
+
+
+The primary route requires high-enthalpy heat (2.3 MWh/t) to produce alumina which is supplied by methane and causes process emissions of 1.5 t $_{CO_2}$/t aluminium. According to [Friedrichsen et al.](http://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for), inert anodes might become commercially available by 2030 that would eliminate the process emissions, but they are not included in the model. Assuming all subprocesses are electrified, the primary route requires 15.4 MWh $_{el}$/t of aluminium.
+
+In the secondary route, scrap aluminium is remelted. The energy demand for this process is only 10% of the primary route and there are no associated process emissions. Assuming all subprocesses are electrified, the secondary route requires 1.7 MWh/t of aluminium. The share of aliminum manufactured by the primary and secondary route can be selected in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L297)
+
+For the other non-ferrous metals, we assume the electrification of the entire manufacturing process with an average electricity demand of 3.2 MWh $_{el}$/t lead equivalent.
+
+**Other Industry Subsectors**
+
+The remaining industry subsectors include (a) pulp, paper, printing, (b) food, beverages, tobacco, (c) textiles and leather, (d) machinery equipment, (e) transport equipment, (f) wood and wood products, (g) others. Low- and mid-temperature process heat in these industries is assumed to be [supplied by biomass](https://doi.org/10.1016/j.rser.2021.110856)  while the remaining processes are electrified. None of the subsectors involve process emissions.
+
+
+## Agriculture demand
+
+Energy demands for the agriculture, forestry and fishing sector per country are taken from the [JRC-IDEES database](http://data.europa.eu/89h/jrc-10110-10001). Missing countries are filled with [Eurostat data](https://ec.europa.eu/eurostat/web/energy/data/energy-balances). Agricultural energy demands are split into electricity (lighting, ventilation, specific electricity uses, electric pumping devices), heat (specific heat uses, low enthalpy heat), and machinery oil (motor drives, farming machine drives, diesel-fueled pumping devices). Heat demand is assigned at "services rural heat" buses. Time series for demands are assumed to be constant and distributed inside countries by population.
+
+## Transportation {#transportation}
+
+Annual energy demands for land transport, aviation and shipping for every country are retrieved from [JRC-IDEES data set](http://data.europa.eu/89h/jrc-10110-10001). Below, the details of how each of these categories are treated is explained.
+
+### Land transport {#land-transport}
+
+Both road and rail transport is combined as [land transport demand](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_transport_demand.py#L74) although electrified rail transport is excluded because that demand is included in the current electricity demand.
+
+The most important settings for land transport are the exogenously fixed fuel mix (an option enabling the endogeous optimization of transport electrification is planned but not yet implemented). In the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181), the share of battery electric vehicles (BEV) and hydrogen fuel cell vehicles (FCEV) can be set. The remaining percentage will be treated as internal combustion engines (ICE) that consume oil products.
+
+*Battery Electric vehicles (BEV)*
+
+For the electrified land transport, country-specific factors are computed by comparing the [current car final energy consumption per km in](https://www.sciencedirect.com/science/article/pii/S0360544216310295) (average for Europe 0.7 kWh/km) to the 0.18 kWh/km value assumed for battery-to-wheels efficiency in EVs. The characteristic [weekly profile](https://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/zaehl_node.html) provided by the German Federal Highway Research Institute (BASt) is used to obtain hourly time series for European countries taking into account the corresponding local times. Furthermore, a temperature dependence is included in the time series to account for heating/cooling demand in transport. For temperatures [below](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L166)/[above](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L165) certain threshold values, e.g. 15 degrees C/20 degrees C, [temperature coefficients](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L169) of typically 0.98%/degrees C and 0.63%/degrees C are assumed, based on the [paper](https://www.sciencedirect.com/science/article/pii/S036054421831288X).
+
+For BEVs the user can define the [storage energy capacity](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L173), [charging power capacity](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L176), and [charging efficiency](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L174).
+
+For BEV, smart charging is an option. A [certain share](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L172) of the BEV fleet can shift their charging time. The BEV state of charge is forced to be higher than a [set percentage](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L163), e.g. 75%, every day at a [specified hour](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L164), e.g., 7 am, to ensure that the batteries are sufficiently charged for peak usage in the morning and they not behave as seasonal storage. They also have the option to participate in vehicle-to-grid (V2G) services to facilitate system operation if that [is enabled](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L179).
+
+The battery cost of BEV is not included in the model since it is assumed that BEV owners buy them to primarily satisfy their mobility needs.
+
+*Hydrogen fuel cell vehicles (FCEV)*
+
+The share of all land transport that is specified to be be FCEV will be converted to a demand for hydrogen (see [Hydrogen supply](#hydrogen-supply)) using the [FCEV efficiency](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L191).
+
+FCEVs are typically used to simulate demand for transport that is hard to electrify directly, e.g. heavy construction machinery. But it may also be used to investigate a more widespread adoption of the technology.
+
+*Internal combustion engine vehicles (ICE)*
+
+All land transport that is not specified to be either BEV or FCEV will be treated as conventional ICEs. The transport demand is converted to a demand for oil products (see [Oil-based products supply](#oil-based-products-supply)) using the [ICE efficiency](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L192).
+
+### Aviation {#aviation}
+
+The [demand for aviation](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2193) includes international and domestic use. It is modelled as an oil demand since aviation consumes kerosene. This can be produced synthetically or have fossil-origin (see [Oil-based products supply](#oil-based-products-supply)).
+
+### Shipping {#shipping}
+
+Shipping energy demand is covered by a combination of oil, hydrogen and methanol. Other fuel options, like ammonia, are currently not included in PyPSA-Eur-Sec. The share of shipping that is assumed to be supplied by hydrogen or methanol can be selected in the [config file](https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml#L475).
+
+To estimate the [hydrogen demand](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2090), the average fuel efficiency of the fleet is used in combination with the efficiency of the fuel cell defined in the technology-data repository. The average fuel efficiency is set in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L196).
+
+The consumed hydrogen comes from the general hydrogen bus where it can be produced by SMR, SMR+CC or electrolysers (see [Hydrogen supply](#hydrogen-supply)). The fraction that is not converted into hydrogen use oil products, i.e. is connected to the general oil bus.
+
+The energy demand for liquefaction of the hydrogen used for shipping can be [included](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L197). If this option is selected, liquifaction will happen at the [node where the shipping demand occurs](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2064).
+
+The consumed methanol comes from the general methanol bus where it is produced through methanolisation (see [Chemicals Industry](#chemicals-industry)).
+
+## Carbon dioxide capture, usage and sequestration (CCU/S) {#carbon-dioxide-capture-usage-and-sequestration-ccus}
+
+PyPSA-Eur-Sec includes carbon capture from air (i.e., direct air capture (DAC)), electricity generators, and industrial facilities. It furthermore includes carbon dioxide storage and transport, the usage of carbon dioxide in synthetic methane and oil products, as well as the sequestration of carbon dioxide underground.
+
+**Carbon dioxide capture**
+
+For the following point source emissions, carbon capture is applicable:
+
+- Industry process emissions, e.g., from limestone in cement production
+- Methane or biomass used for process heat in the industry
+- Hydrogen production by SMR
+- CHP plants using biomass or methane
+- [Coal power plants](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L242).
+
+Point source emissions are captured assuming a capture rate, e.g. 90%, which can be specified in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L249). The electricity and heat demand of process emission carbon capture
+is currently ignored.
+
+DAC (if [included](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L243)) includes the adsorption phase where electricity and heat consumptionsare required to assist the adsorption process and regenerate the adsorbent. It also includes the drying and compression of $CO_2$ prior to storage which consumes electricity and rejects heat.
+
+*Carbon dioxide usage*
+
+Captured $CO_2$ can be used to produce synthetic methane and synthetic oil products (e.g.
+naphtha). If captured carbon is used, the $CO_2$ emissions of the synthetic fuels are net-neutral.
+
+*Carbon dioxide sequestration*
+
+Captured $CO_2$ can also be sequestered underground up to an annual sequestration limit of 200 Mt $_{CO_2}$/a. This limit can be chosen in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L246). As stored carbon dioxide is modelled as a single node for Europe, $CO_2$ transport constraints are neglected. Since $CO_2$ sequestration is an immature technology, the cost assumption is defined in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247).
+
+*Carbon dioxide transport*
+
+Carbon dioxide can be modelled as a single node for Europe (in this case, $CO_2$ transport constraints are neglected). A network for modelling the transport of $CO_2$ among the different nodes can also be created if selected in the [config file](https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248).
diff --git a/doc/supply_demand.rst b/doc/supply_demand.rst
deleted file mode 100644
index 02823d5170..0000000000
--- a/doc/supply_demand.rst
+++ /dev/null
@@ -1,692 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Supply and demand
-##########################################
-
-An initial orientation to the supply and demand options in the model
-PyPSA-Eur-Sec can be found in the description of the model
-PyPSA-Eur-Sec-30 in the paper `Synergies of sector coupling and
-transmission reinforcement in a cost-optimised, highly renewable
-European energy system <https://arxiv.org/abs/1801.05290>`__ (2018).
-The latest version of PyPSA-Eur-Sec differs by including biomass,
-industry, industrial feedstocks, aviation, shipping, better carbon
-management, carbon capture and usage/sequestration, and gas networks.
-
-The basic supply (left column) and demand (right column) options in the model are described in this figure:
-
-.. image:: img/multisector_figure.png
-
-.. _Electricity supply and demand:
-
-Electricity supply and demand
-=============================
-
-Electricity supply and demand follows the electricity generation and
-transmission model `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`__,
-except that hydrogen storage is integrated into the hydrogen supply,
-demand and network, and PyPSA-Eur-Sec includes CHPs.
-
-Unlike PyPSA-Eur, PyPSA-Eur-Sec does not distribution electricity demand for industry according to population and GDP, but uses the
-geographical data from the `Hotmaps Industrial Database
-<https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database>`__.
-
-Also unlike PyPSA-Eur, PyPSA-Eur-Sec subtracts existing electrified heating from the existing electricity demand, so that power-to-heat can be optimised separately.
-
-The remaining electricity demand for households and services is distributed inside each country proportional to GDP and population.
-
-.. _Heat demand:
-
-Heat demand
-===========
-
-Building heating in residential and services sectors is resolved regionally, both for individual buildings and district heating systems, which include different supply options (see :ref:`heat-supply`.)
-Annual heat demands per country are retrieved from `JRC-IDEES  <https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en>`__ and split into space and water heating. For space heating, the annual demands are converted to daily values based on the population-weighted Heating Degree Day (HDD) using the `atlite tool <https://github.com/PyPSA/atlite>`__, where space heat demand is proportional to the difference between the daily average ambient temperature (read from `ERA5 <https://doi.org/10.1002/qj.3803>`__) and a threshold temperature above which space heat demand is zero. A threshold temperature of 15 °C is assumed by default. The daily space heat demand is distributed to the hours of the day following heat demand profiles from `BDEW <https://github.com/oemof/demandlib>`__. These differ for weekdays and weekends/holidays and between residential and services demand.
-
-*Space heating*
-
-The space heating demand can be exogenously reduced by retrofitting measures that improve the buildings’ thermal envelopes.
-
-.. literalinclude:: ../config/config.default.yaml
-    :language: yaml
-    :lines: 205
-
-Co-optimsing of building renovation is also possible, if it is activated in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222>`__.
-Renovation of the thermal envelope reduces the space heating demand and is optimised at each node for every heat bus. Renovation measures through additional insulation material and replacement of energy inefficient windows are considered.
-In a first step, costs per energy savings are estimated in `build_retro_cost.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_retro_cost.py>`__. They depend on the insulation condition of the building stock and costs for renovation of the building elements. In a second step, for those cost per energy savings two possible renovation strengths are determined: a moderate renovation with lower costs, a lower maximum possible space heat savings, and an ambitious renovation with associated higher costs and higher efficiency gains. They are added by step-wise linearisation in form of two additional generations in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`__.
-Further information are given in the publication :
-`Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021)  <https://arxiv.org/abs/2012.01831>`__.
-
-*Water heating*
-
-Hot water demand is assumed to be constant throughout the year.
-
-*Urban and rural heating*
-
-For every country, heat demand is split between low and high population density areas. These country-level totals are then distributed to each region in proportion to their rural and urban populations respectively. Urban areas with dense heat demand can be supplied with large-scale district heating systems. The percentage of urban heat demand that can be supplied by district heating networks as well as lump-sum losses in district heating systems is exogenously determined in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L153>`__.
-
-*Cooling demand*
-
-Cooling is electrified and is included in the electricity demand. Cooling demand is assumed to remain at current levels.  An example of regional distribution of the total heat demand for network 181 regions is depicted below.
-
-.. image:: img/demand-map-heat.png
-
-As below figure shows, the current total heat demand in Europe is similar to the total electricity demand but features much more pronounced seasonal variations. The current total building heating demand in Europe adds up to 3084 TWh/a of which 78% occurs in urban areas.
-
-.. image:: img/Heat_and_el_demand_timeseries.png
-
-In practice, in PyPSA-Eur-Sec, there are heat demand buses to which the corresponding heat demands are added.
-
-
-1)	Urban central heat: large-scale district heating networks in urban areas with dense heat population. Residential and services demand in these areas are added as demands to this bus
-2)	Residential urban decentral heat: heating for residential buildings in urban areas not using district heating
-3)	Services urban decentral heat: heating for services buildings in urban areas not using district heating
-4)	Residential rural heat: heating for residential buildings in rural areas with low population density.
-5)	Services rural heat: heating for residential services buildings in rural areas with low population density. Heat demand from agriculture  sector is also included here.
-
-.. _heat-supply:
-
-Heat supply
-=======================
-
-Different supply options are available depending on whether demand is met centrally through district heating systems, or decentrally through appliances in individual buildings.
-
-**Urban central heat**
-
-For large-scale district heating systems the following options are available: combined heat and power (CHP) plants consuming gas or biomass from waste and residues with and without carbon capture (CC), large-scale air-sourced heat pumps, gas and oil boilers, resistive heaters, and fuel cell CHPs. Additionally, waste heat from the `Fischer-Tropsch <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255>`__  and `Sabatier <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L240>`__ processes for the production of synthetic hydrocarbons can supply district heating systems. For more detailed explanation of these processes, see :ref:`Oil-based products supply` and :ref:`Methane supply`.
-
-**Residential and Urban decentral heat**
-
-Supply options in individual buildings include gas and oil boilers, air- and ground-sourced heat pumps, resistive heaters, and solar thermal collectors.
-Ground-source heat pumps are only allowed in rural areas because of space constraints. Thus, only air- source heat pumps are allowed in urban areas. This is a conservative assumption, since there are many possible sources of low-temperature heat that could be tapped in cities (e.g. waste water, ground water, or natural bodies of water). Costs, lifetimes and efficiencies for these technologies are retrieved from the `technology-data repository <https://github.com/PyPSA/technology-data>`__.
-
-Below are more detailed explanations for each heating supply component, all of which are modelled as `links <https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#link>`__ in PyPSA-Eur-Sec.
-
-.. _Large-scale CHP:
-
-**Large-scale CHP**
-
-Large Combined Heat and Power plants are included in the model if it is specified in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L235>`__.
-
-CHPs are based on back pressure plants operating with a fixed ratio of electricity to heat output. The efficiencies of each are given on the back pressure line, where the back pressure coefficient cb is the electricity output divided by the heat output. (For a more complete explanation of the operation of CHPs refer to the study by Dahl et al. : `Cost sensitivity of optimal sector-coupled district heating production systems <https://arxiv.org/pdf/1804.07557.pdf>`__.
-
-PyPSA-Eur-Sec includes CHP plants fueled by methane and solid biomass from waste and residues. Hydrogen fuel cells also produce both electricity and heat.
-
-The methane CHP is modeled on the Danish Energy Agency (DEA) “Gas turbine simple cycle (large)” while the solid biomass CHP is based on the DEA’s “09b Wood Pellets Medium”. For biomass CHP, cb = `0.46 <https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=156>`__ , whereas for gas CHP, cb = `1 <https://ens.dk/sites/ens.dk/files/Statistik/technology_data_catalogue_for_el_and_dh_-_0009.pdf#page=64>`__.
-
-NB: The old PyPSA-Eur-Sec-30 model assumed an extraction plant (like the DEA coal CHP) for gas which has flexible production of heat and electricity within the feasibility diagram of Figure 4 in the study by `Brown et al. <https://arxiv.org/abs/1801.05290>`__ We have switched to the DEA back pressure plants since these are more common for smaller plants for biomass, and because the extraction plants were on the back pressure line for 99.5% of the time anyway. The plants were all changed to back pressure in PyPSA-Eur-Sec v0.4.0.
-
-**Micro-CHP**
-
-PyPSA-Eur-Sec allows individual buildings to make use of `micro gas CHPs <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L236>`__ that are assumed to be installed at the distribution grid level.
-
-**Heat pumps**
-
-The coefficient of performance (COP) of air- and ground-sourced heat pumps depends on the ambient or soil temperature respectively. Hence, the COP is a time-varying parameter (refer to `Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L206>`__ file). Generally, the COP will be lower during winter when temperatures are low. Because the ambient temperature is more volatile than the soil temperature, the COP of ground-sourced heat pumps is less variable. Moreover, the COP depends on the difference between the source and sink temperatures:
-
-.. math::
-	\Delta T = T_{sink} − T_{source}
-
-For the sink water temperature Tsink we assume 55 °C [`Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L207>`__ file]. For the time- and location-dependent source temperatures Tsource, we rely on the `ERA5 <https://doi.org/10.1002/qj.3803>`__ reanalysis weather data. The temperature differences are converted into COP time series using results from a regression analysis performed in the study by `Stafell et al. <https://pubs.rsc.org/en/content/articlelanding/2012/EE/c2ee22653g>`__. For air-sourced heat pumps (ASHP), we use the function:
-
-.. math::
-   COP (\Delta T) = 6.81 - 0.121\Delta T + 0.000630\Delta T^2
-
-for ground-sourced heat pumps (GSHP), we use the function:
-
-.. math::
-   COP(\Delta T) = 8.77 - 0.150\Delta T + 0.000734\Delta T^2
-
-**Resistive heaters**
-
-Can be activated in Config from the `boilers <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232>`__ option.
-Resistive heaters produce heat with a fixed conversion efficiency (refer to `Technology-data repository <https://github.com/PyPSA/technology-data>`__ ).
-
-**Gas, oil, and biomass boilers**
-
-Can be activated in Config from the `boilers <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L232>`__ , `oil boilers <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L233>`__ , and `biomass boiler <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L234>`__ option.
-Similar to resistive heaters, boilers have a fixed efficiency and produce heat using gas, oil or biomass.
-
-**Solar thermal collectors**
-
-Can be activated in the config file from the `solar_thermal <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L237>`__ option.
-Solar thermal profiles are built based on weather data and also have the `options <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L134>`__ for setting the sky model and the orientation of the panel in the config file, which are then used by the atlite tool to calculate the solar resource time series.
-
-**Waste heat from Fuel Cells, Methanation and Fischer-Tropsch plants**
-
-Waste heat from `fuel cells <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256>`__ in addition to processes like `Fischer-Tropsch <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255>`__, methanation, and Direct Air Capture (DAC) is dumped into  district heating networks.
-
-**Existing heating capacities and decommissioning**
-
-For the myopic transition paths, capacities already existing for technologies supplying heat are retrieved from `“Mapping and analyses of the current and future (2020 - 2030)” <https://ec.europa.eu/energy/en/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment>`__ . For the sake of simplicity, coal, oil and gas boiler capacities are assimilated to gas boilers. Besides that, existing capacities for heat resistors, air-sourced and ground-sourced heat pumps are included in the model. For heating capacities, 25% of existing capacities in 2015 are assumed to be decommissioned in every 5-year time step after 2020.
-
-**Thermal Energy Storage**
-
-Activated in Config from the `tes <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L228>`__ option.
-
-Thermal energy can be stored in large water pits associated with district heating systems and individual thermal energy storage (TES), i.e., small water tanks. Water tanks are modelled as `stores <https://pypsa.readthedocs.io/en/latest/components.html?highlight=distribution#store,  which are connected to heat demand buses through water charger/discharger links>`__.
-A thermal energy density of 46.8 kWh :math:`_{th}`/m3 is assumed, corresponding to a temperature difference of 40 K. The decay of thermal energy in the stores: 1- :math:`e^{-1/24τ}` is assumed to have a time constant  of  τ=180 days for central TES and  τ=3 days for individual TES, both modifiable through `tes_tau <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L229>`__ in config file. Charging and discharging efficiencies are 90% due to pipe losses.
-
-**Residential Heat Demand-Side Management (DSM)**
-
-Can be activated in the `config file <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml>`__ through the ``residential_heat: dsm`` option (default: false).
-
-Residential heat demand-side management allows electric heating systems to provide flexibility to the energy system by shifting heat demand within configurable time windows while maintaining thermal comfort. This feature models the thermal mass of buildings as an energy storage capability, enabling residential electric heating to operate more flexibly in response to electricity price signals and renewable generation variability.
-
-*Implementation approach*
-
-The implementation is based on the `smartEn/DNV methodology <https://smarten.eu/wp-content/uploads/2022/10/SmartEN-DSF-benefits-2030-Report_DIGITAL-1.pdf>`__ (see Appendix A, Section 1.1.2.5 "Residential electric heating" and page 17 Section 3.6) for quantifying demand-side flexibility benefits from residential heat pumps in the European energy system. The study estimates 195.5 TWh of annual flexibility potential for EU27 heat pumps using 12-hour load shifting constraints. Building thermal mass is represented as energy stores connected to residential heat buses, with time-varying availability constraints that enforce consumption requirements within defined periods.
-
-*Time windows and constraints*
-
-Heat demand can be shifted within configurable time periods to avoid buildings acting as long-term seasonal storage. By default, 12-hour periods are used:
-
-- **Day period**: 10am (10:00) to 10pm (22:00)
-- **Night period**: 10pm (22:00) to 10am (10:00)
-
-At the boundaries between these periods (configured via `residential_heat_restriction_time <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml>`__, default: [10, 22] corresponding to 10am and 10pm local time of each country/bus), the thermal storage state of charge must return to its baseline level. The implementation automatically adjusts these checkpoint hours to each country's local timezone, ensuring consistent behavioral patterns across different regions. This ensures that heat consumption requirements are met within each time window while allowing temporal load shifting for demand response. Users can adjust the checkpoint hours to create different period lengths as needed.
-
-*Storage capacity and flexibility magnitude*
-
-The flexibility storage capacity is sized based on the maximum residential space heating demand at each node. The actual available flexibility is constrained by the `residential_heat_restriction_value <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml>`__ parameter, which sets the maximum state of charge as a fraction of the storage capacity.
-
-For instance, a value of 0.27 would represent a conservative assumption for the thermal buffer capacity available in residential buildings, balancing flexibility potential against thermal comfort constraints. This parameter is user-configurable and can be adjusted based on specific assumptions about building thermal mass, insulation quality, and acceptable temperature variations. Setting it to 0 disables heat flexibility, while values closer to 1.0 allow greater load shifting (though this may require stronger assumptions about building characteristics and occupant comfort tolerance).
-
-*Thermal characteristics*
-
-Thermal losses are modeled using the same standing loss rates as decentralized water tank storage (a simplifying assumption that likely underestimates actual building losses). The storage is cyclic, meaning the state of charge at the end of the optimization period must equal that at the beginning.
-
-*Applicable heat systems*
-
-Residential heat DSM is available for the following heat systems when enabled:
-
-- Residential rural heating
-- Residential urban decentral heating
-- Urban central (district) heating
-
-Services sector heating is currently excluded as a conservative modeling choice.
-
-*Benefits and use cases*
-
-Heat DSM provides several system benefits:
-
-- Load shifting to periods of high renewable generation
-- Peak demand reduction during high-price periods
-- Integration support for variable renewable energy
-- Reduced need for backup generation capacity
-- Lower overall system costs through temporal optimization
-
-The feature is particularly valuable in scenarios with high renewable penetration, where flexible demand can absorb surplus generation and reduce curtailment.
-
-*Configuration example*
-
-.. literalinclude:: ../config/config.default.yaml
-   :language: yaml
-   :lines: 564-566
-
-*References*
-
-The methodology follows the approach proposed by Y. Akhmetov *et al.* (2025) in `"Flattening the peak demand curve through energy efficient buildings: A holistic approach towards net-zero carbon" <https://www.sciencedirect.com/science/article/pii/S0306261925001515>`__, and builds upon assumptions from smartEn and DNV (2022), `"Demand-side flexibility in the EU: Quantification of benefits in 2030"`.
-
-In this framework, heat pumps are assumed to provide flexibility to the energy system within daily operational constraints, represented by two time windows: from 9 am to 9 pm, and 9 pm to 9 am. These time windows are parametrizable, allowing sensitivity analyses of different flexibility periods.
-
-The potential for heat demand shifting is derived from the projected roll-out of heat pumps, as outlined in the European Commissions *Impact Assessment Report on the Heat Pump Action Plan* (`see page 55, Fig. 44 <https://eur-lex.europa.eu/resource.html?uri=cellar:6c154426-c5a6-11ee-95d9-01aa75ed71a1.0001.02/DOC_3&format=PDF>`__). The projected number of installed heat pumps is translated into the share of electrified households capable of participating in demand-side management (DSM).
-
-For example, a projected **58 million heat pumps** in 2030 corresponds to:
-
-``58 million / 202 million households in the EU ≈ 28 %``
-
-Thus, approximately 28 % of EU households are assumed to contribute to the residential DSM potential by 2030.
-
-**Retrofitting of the thermal envelope of buildings**
-
-Co-optimising building renovation is only enabled if in the `config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L222>`__ file. To reduce the computational burden,
-default setting is set as false.
-
-Renovation of the thermal envelope reduces the space heating demand and is
-optimised at each node for every heat bus. Renovation measures through additional
-insulation material and replacement of energy inefficient windows are considered.
-
-In a first step, costs per energy savings are estimated in the `build_retro_cost.py <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_retro_cost.py>`__ script.
-They depend on the insulation condition of the building stock and costs for
-renovation of the building elements.
-In a second step, for those cost per energy savings two possible renovation
-strengths are determined: a moderate renovation with lower costs and lower
-maximum possible space heat savings, and an ambitious renovation with associated
-higher costs and higher efficiency gains. They are added by step-wise
-linearisation in form of two additional generations in
-the  `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1600>`__  script.
-
-Settings in the ``config/config.yaml`` concerning the endogenously optimisation of building
-renovation include `cost factor <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L223>`__, `interest rate <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L224>`__, `annualised cost <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L225>`__, `tax weighting <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L226>`__, and `construction index <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L227>`__.
-
-Further information are given in the study by Zeyen et al. : `Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021) <https://arxiv.org/abs/2012.01831>`__.
-
-.. _Hydrogen demand:
-
-Hydrogen demand
-=============================
-
-Hydrogen is consumed in the industry sector (see :ref:`Industry demand`) to produce ammonia (see :ref:`Chemicals Industry`) and direct reduced iron (DRI) (see :ref:`Iron and Steel`). Hydrogen is also consumed to produce synthetic methane (see :ref:`Methane supply`) and liquid hydrocarbons (see :ref:`Oil-based products supply`) which have multiple uses in industry and other sectors.
-Hydrogen is also used for transport applications (see :ref:`Transportation`), where it is exogenously fixed. It is used in `heavy-duty land transport <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181>`__ and as liquified hydrogen in the shipping sector (see :ref:`Shipping`). Furthermore, stationary fuel cells may re-electrify hydrogen (with waste heat as a byproduct) to balance renewable fluctuations (see :ref:`Electricity supply and demand`). The waste heat from the stationary fuel cells can be used in `district-heating systems <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L256>`__.
-
-.. _Hydrogen supply:
-
-Hydrogen supply
-=============================
-
-Today, most of the :math:`H_2` consumed globally is produced from natural gas by steam methane reforming (SMR)
-
-.. math::
-
-   CH_4 + H_2O \xrightarrow{} CO + 3H_2
-
-combined with a water-gas shift reaction
-
-.. math::
-
-   CO + H_2O \xrightarrow{} CO_2 + H_2
-
-
-SMR is included `here <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L245>`__.
-PyPSA-Eur-Sec allows this route of :math:`H_2` production with and without [carbon capture (CC)] (see :ref:`Carbon dioxide capture, usage and sequestration (CCU/S)`). These routes are often referred to as blue and grey hydrogen. Here, methane input can be both of fossil or synthetic origin.
-
-Green hydrogen can be produced by electrolysis to split water into hydrogen and oxygen
-
-.. math::
-
-   2H_2O \xrightarrow{} 2H_2 + O_2
-
-
-For the electrolysis, alkaline electrolysers are chosen since they have lower cost and higher cumulative installed capacity than polymer electrolyte membrane (PEM) electrolysers. The techno-economic assumptions are taken from the technology-data repository. Waste heat from electrolysis is not leveraged in the model.
-
-**Transport**
-
-Hydrogen is transported by pipelines. :math:`H_2` pipelines are endogenously generated, either via a  greenfield :math:`H_2` network, or by `retrofitting natural gas pipelines <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L262>`__). Retrofitting is implemented in such a way that for every unit of decommissioned gas pipeline, a share (60% is used in the study by  `Neumann et al. <https://arxiv.org/abs/2207.05816>`__) of its nominal capacity (exogenously determined in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L266>`__.) is available for hydrogen transport. When the gas network is not resolved, this input denotes the potential for gas pipelines repurposed into hydrogen pipelines.
-New pipelines can be built additionally on all routes where there currently is a gas or electricity network connection. These new pipelines will be built where no sufficient retrofitting options are available. The capacities of new and repurposed pipelines are a result of the optimisation.
-
-**Storage**
-
-Hydrogen can be stored in overground steel tanks or `underground salt caverns <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L250>`__. For the latter, energy storage capacities in every country are limited to the potential estimation for onshore salt caverns within `50 km <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L251>`__ of shore to avoid environmental issues associated with brine solution disposal. Underground storage potentials for hydrogen in European salt caverns is acquired from `Caglayan et al. <https://doi.org/10.1016/j.ijhydene.2019.12.161>`__
-
-.. _Methane demand:
-
-Methane demand
-====================================
-
-Methane is used in individual and large-scale gas boilers, in CHP plants with and without carbon capture, in OCGT and CCGT power plants, and in some industry subsectors for the provision of high temperature heat (see :ref:`Industry demand`). Methane is not used in the transport sector because of engine slippage.
-
-.. _Methane supply:
-
-Methane supply
-===================================
-
-In addition to methane from fossil origins, the model also considers biogenic and synthetic sources. `The gas network can either be modelled, or it can be assumed that gas transport is not limited <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261>`__. If gas infrastructure is regionally resolved, fossil gas can enter the system only at existing and planned LNG terminals, pipeline entry-points, and intra- European gas extraction sites, which are retrieved from the SciGRID Gas IGGIELGN dataset and the GEM Wiki.
-Biogas can be upgraded to methane.
-Synthetic methane can be produced by processing hydrogen and captures :math:`CO_2` in the Sabatier reaction
-
-.. math::
-   CO_2 + 4H_2 \xrightarrow{} CH_4 + 2H_2O
-
-
-Direct power-to-methane conversion with efficient heat integration developed in the HELMETH project is also an option. The share of synthetic, biogenic and fossil methane is an optimisation result depending on the techno-economic assumptions.
-
-*Methane transport*
-
-The existing European gas transmission network is represented based on the SciGRID Gas IGGIELGN dataset. This dataset is based on compiled and merged data from the ENTSOG maps  and other publicly available data sources. It includes data on the capacity, diameter, pressure, length, and directionality of pipelines. Missing capacity data is conservatively inferred from the pipe diameter following conversion factors derived from an EHB report. The gas network is clustered to the selected number of model regions. Gas pipelines can be endogenously expanded or repurposed for hydrogen transport. Gas flows are represented by a lossless transport model. Methane is assumed to be transmitted without cost or capacity constraints because future demand is predicted to be low compared to available transport capacities.
-
-The following figure shows the unclustered European gas transmission network based on the SciGRID Gas IGGIELGN dataset. Pipelines are color-coded by estimated capacities. Markers indicate entry-points, sites of fossil resource extraction, and LNG terminals.
-
-.. image:: img/gas_pipeline_figure.png
-
-.. _Biomass supply:
-
-Biomass Supply
-=====================
-Biomass supply potentials for each European country are taken from the `JRC ENSPRESO database <http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f>`__ where data is available for various years (2010, 2020, 2030, 2040 and 2050) and scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found `here <https://publications.jrc.ec.europa.eu/repository/handle/JRC98626>`__.
-
-.. _Biomass demand:
-
-Biomass demand
-=====================
-
-
-Biomass supply potentials for every NUTS2 region are taken from the `JRC ENSPRESO database <http://data.europa.eu/89h/74ed5a04-7d74-4807-9eab-b94774309d9f>`__ where data is available for various years (2010, 2020, 2030, 2040 and 2050) and different availability scenarios (low, medium, high). No biomass import from outside Europe is assumed. More information on the data set can be found `here <https://publications.jrc.ec.europa.eu/repository/handle/JRC98626>`__. The data for NUTS2 regions is mapped to PyPSA-Eur-Sec model regions in proportion to the area overlap.
-
-
-The desired scenario can be selected in the PyPSA-Eur-Sec `configuration <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108>`__. The script for building the biomass potentials from the JRC ENSPRESO data base is located `here <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_potentials.py#L43>`__. Consult the script to see the keywords that specify the scenario options.
-
-
-The `configuration <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L108>`__ also allows the user to define how the various types of biomass are used in the model by using the following categories: biogas, solid biomass, and not included. Feedstocks categorized as biogas, typically manure and sludge waste, are available to the model as biogas, which can be upgraded to biomethane. Feedstocks categorized as solid biomass, e.g. secondary forest residues or municipal waste, are available for combustion in combined-heat-and power (CHP) plants and for medium temperature heat (below 500 °C) applications in industry. It can also converted to gas or liquid fuels.
-
-
-Feedstocks labeled as not included are ignored by the model.
-
-
-A `typical use case for biomass <https://arxiv.org/abs/2109.09563>`__ would be the medium availability scenario for 2030 where only residues from agriculture and forestry as well as biodegradable municipal waste are considered as energy feedstocks. Fuel crops are avoided because they compete with scarce land for food production, while primary wood, as well as wood chips and pellets, are avoided because of concerns about sustainability. See the supporting materials of the `paper <https://www.sciencedirect.com/science/article/pii/S1364032117302034>`__ for more details.
-
-
-*Solid biomass conversion and use*
-
-Solid biomass can be used directly to provide process heat up to 500˚C in the industry. It can also be burned in CHP plants and boilers associated with heating systems. These technologies are described elsewhere (see :ref:`Large-scale CHP` and :ref:`Industry demand`).
-
-
-Solid biomass can be converted to syngas if the option is enabled in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L274>`__. In this case the model will enable the technology BioSNG both with and without the option for carbon capture (see `Technology-data repository <https://github.com/PyPSA/technology-data>`__).
-
-
-Liquefaction of solid biomass `can be enabled <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L273>`__ allowing the model to convert it into liquid hydrocarbons that can replace conventional oil products. This technology also comes with and without carbon capture (see `Technology-data repository <https://github.com/PyPSA/technology-data>`__).
-
-
-*Transport of solid biomass*
-
-The transport of solid biomass can either be assumed unlimited between countries or it can be associated with a country specific cost per MWh/km. In the config file these options are toggled `here <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L270>`__. If the option is off, use of solid biomass is transport. If it is turned on, a biomass transport network will be `created <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L1803>`__ between all nodes. This network resembles road transport of biomass and the cost of transportation is a variable cost which is proportional to distance and a country specific cost per MWh/km. The latter is `estimated <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_biomass_transport_costs.py>`__ from the country specific costs per ton/km used in the publication `“The JRC-EU-TIMES model. Bioenergy potentials for EU and neighbouring countries” <https://publications.jrc.ec.europa.eu/repository/handle/JRC98626>`__.
-
-*Biogas transport and use*
-
-Biogas will be aggregated into a common European resources if a gas network is not modelled explicitly, i.e., the `gas_network <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L261>`__ option is set to false. If, on the other hand, a gas network is included, the biogas potential will be associated with each node of origin.
-The model can only use biogas by first upgrading it to natural gas quality [see :ref:`Methane supply`] (bio methane) which is fed into the general gas network.
-
-.. _Oil-based products demand:
-
-
-Oil-based products demand
-=========================
-
-Naphtha is used as a feedstock in the chemicals industry (see :ref:`Chemicals Industry`). Furthermore, kerosene is used as transport fuel in the aviation sector (see :ref:`Aviation`). Non-electrified agriculture machinery also consumes gasoline.
-Land transport [(see :ref:`Land transport`)  that is not electrified or converted into using :math:`H_2`-fuel cells also consumes oil-based products. While there is regional distribution of demand, the carrier is copperplated in the model, which means that transport costs and constraints are neglected.
-
-.. _Oil-based products supply:
-
-Oil-based products supply
-=========================
-
-Oil-based products can be either of fossil origin or synthetically produced by combining :math:`H_2` (see :ref:`Hydrogen supply`) and captured :math:`CO_2` (see :ref:`Carbon dioxide capture, usage and sequestration (CCU/S)`) in Fischer-Tropsch plants
-
-.. math::
-   𝑛CO+(2𝑛+1)H_2 → C_{n}H_{2n + 2}  +𝑛H_2O
-
-
-with costs as included from the `technology-data repository <https://github.com/PyPSA/technology-data/blob/master/latex_tables/tables_in_latex.pdf>`__. The waste heat from the Fischer-Tropsch process is supplied to `district heating networks <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L255>`__. The share of fossil and synthetic oil is an optimisation result depending on the techno-economic assumptions.
-
-
-*Oil-based transport*
-
-Liquid hydrocarbons are assumed to be transported freely among the model region since future demand is predicted to be low, transport costs for liquids are low and no bottlenecks are expected.
-
-.. _Industry demand:
-
-Industry demand
-================
-
-Industry demand is split into a dozen different sectors with specific energy demands, process
-emissions of carbon dioxide, as well as existing and prospective mitigation strategies.
-
-The Subsection overview below provides a general description of the modelling approach for the industry sector. The following subsections describe the current energy demands, available mitigation strategies, and whether mitigation is exogenously fixed or co-optimised with the other components of the model for each industry subsector in more detail. See details for Iron and Steel (see :ref:`Iron and Steel`), Chemicals Industry and Ammonia (see :ref:`Chemicals Industry`), Non-metallic Mineral products , Non-ferrous Metals , and other Industry Subsectors.
-
-.. _Overview:
-
-**Overview**
-
-Greenhouse gas emissions associated with industry can be classified into energy-related and process-related emissions. Today, fossil fuels are used for process heat energy in the chemicals industry, but also as a non-energy feedstock for chemicals like ammonia ( :math:`NH_3`), ethylene ( :math:`C_2H_4`) and methanol ( :math:`CH_3OH`). Energy-related emissions can be curbed by using low-emission energy sources. The only option to reduce process-related emissions is by using an alternative manufacturing process or by assuming a certain rate of recycling so that a lower amount of virgin material is needed.
-
-The overarching modelling procedure can be described as follows. First, the energy demands and process emissions for every unit of material output are estimated based on data from the `JRC-IDEES database <https://data.europa.eu/doi/10.2760/182725>`__ and the fuel and process switching described in the subsequent sections. Second, the 2050 energy demands and process emissions are calculated using the per-unit-of-material ratios based on the industry transformations and the `country-level material production in 2015 <https://data.europa.eu/doi/10.2760/182725>`__, assuming constant material demand.
-
-Missing or too coarsely aggregated data in the JRC-IDEES database is supplemented with additional datasets: `Eurostat energy balances <https://ec.europa.eu/eurostat/web/energy/data/energy-balances>`__, `United States <https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx>`__,  `Geological Survey <https://www.usgs.gov/media/files/%20nitrogen-2017-xlsx>`__ for ammonia production, `DECHEMA <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf>`__ for methanol and chlorine, and `national statistics from Switzerland <https://www.bfe.admin.ch/bfe/de/home/versorgung/statistik-und-geodaten/energiestatistiken.html>`__.
-
-
-Where there are fossil and electrified alternatives for the same process (e.g. in glass manufacture or drying), we assume that the process is completely electrified. Current electricity demands (lighting, air compressors, motor drives, fans, pumps) will remain electric. Processes that require temperatures below 500 °C are supplied with solid biomass, since we assume that residues and wastes are not suitable for high-temperature applications. We see solid biomass use primarily in the pulp and paper industry, where it is already widespread, and in food, beverages and tobacco, where it replaces natural gas. Industries which require high temperatures (above 500 °C), such as metals, chemicals and non-metallic minerals are either electrified where suitable processes already exist, or the heat is provided with synthetic methane.
-
-Hydrogen for high-temperature process heat is not part of the model currently.
-
-Where process heat is required, our approach depends on the necessary temperature. For example, due to the high share of high-temperature process heat demand  (see `Naegler et al. <https://doi.org/10.1002/er.3436>`__ and `Rehfeldt el al. <https://link.springer.com/article/10.1007/s12053-017-9571-y>`__), we disregard geothermal and solar thermal energy as sources for process heat since they cannot attain high-temperature heat.
-
-The following figure shows the final consumption of energy and non-energy feedstocks in industry today in comparison to the scenario in 2050 assumed in `Neumann et al <https://arxiv.org/abs/2207.05816>`__.
-
-.. image:: img/fec_industry_today_tomorrow.png
-
-
-The following figure shows the process emissions in industry today (top bar) and in 2050 without
-carbon capture (bottom bar) assumed in `Neumann et al <https://arxiv.org/abs/2207.05816>`__.
-
-
-
-
-.. image:: img/process-emissions.png
-
-
-Inside each country the industrial demand is then distributed using the `Hotmaps Industrial Database <https://zenodo.org/records/4687147#.YvOaxhxBy5c>`__, which is illustrated in the figure below. This open database includes georeferenced industrial sites of energy-intensive industry sectors in EU28, including cement, basic chemicals, glass, iron and steel, non-ferrous metals, non-metallic minerals, paper, and refineries subsectors. The use of this spatial dataset enables the calculation of regional and process-specific energy demands. This approach assumes that there will be no significant migration of energy-intensive industries.
-
-.. image:: img/hotmaps.png
-
-
-.. _Iron and Steel:
-
-**Iron and Steel**
-
-Two alternative routes are used today to manufacture steel in Europe. The primary route (integrated steelworks) represents 60% of steel production, while the secondary route (electric arc furnaces, EAF), represents the other 40% `(Lechtenböhmer et. al) <https://doi.org/10.1016/j.energy.2016.07.110>`__.
-
-The primary route uses blast furnaces in which coke is used to reduce iron ore into molten iron, which is then converted into steel:
-
-.. math::
-   CO_2 + C \xrightarrow{} 2 CO
-
-
-.. math::
-   3 Fe_2O_3 + CO  \xrightarrow{} 2 Fe_3O_4 + CO
-
-
-.. math::
-   Fe_3O_4 + CO  \xrightarrow{} 3 FeO + CO_2
-
-
-.. math::
-   FeO + CO  \xrightarrow{} Fe + CO_2
-
-
-The primary route of steelmaking implies large process emissions of 0.22 t :math:`_{CO_2}` /t of steel, amounting to 7% of global greenhouse gas emissions `(Vogl et. al) <https://doi.org/10.1016/j.joule.2021.09.007>`__.
-
-In the secondary route, electric arc furnaces are used to melt scrap metal. This limits the :math:`CO_2` emissions to the burning of graphite electrodes `(Friedrichsen et. al) <https://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for>`__, and reduces process emissions to 0.03 t :math:`_{CO_2}` /t of steel.
-
-We assume that the primary route can be replaced by a third route in 2050, using direct reduced iron (DRI) and subsequent processing in an EAF.
-
-.. math::
-   3 Fe_2O_3 + H_2 \xrightarrow{} 2 Fe_3O_4 + H_2O
-
-
-.. math::
-   Fe_3O_4 +H_2  \xrightarrow{} 3FeO+H_2O
-
-
-.. math::
-   FeO + H_2  \xrightarrow{} Fe + H_2O
-
-
-This circumvents the process emissions associated with the use of coke. For hydrogen- based DRI, we assume energy requirements of 1.7 MWh :math:`_{H_2}` /t steel `(Vogl et. al) <https://doi.org/10.1016/j.jclepro.2018.08.279>`__ and 0.322 MWh :math:`_{el}`/t steel `(HYBRIT 2016) <https://dh5k8ug1gwbyz.cloudfront.net/uploads/2021/02/Hybrit-broschure-engelska.pdf>`__.
-
-
-The share of steel produced via the primary route is exogenously set in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L279>`__. The share of steel obtained via hydrogen-based DRI plus EAF is also set exogenously in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L287>`__. The remaining share is manufactured through the secondary route using scrap metal in EAF. Bioenergy as alternative to coke in blast furnaces is not considered in the model (`Mandova et.al <https://doi.org/10.1016/j.biombioe.2018.04.021>`__, `Suopajärvi et.al <https://doi.org/10.1016/j.apenergy.2018.01.060>`__).
-
-For the remaining subprocesses in this sector, the following transformations are assumed. Methane is used as energy source for the smelting process. Activities associated with furnaces, refining and rolling, and product finishing are electrified assuming the current efficiency values for these cases. These transformations result in changes in process emissions as outlined in the process emissions figure presented in the industry overview section (see :ref:`Overview`).
-
-.. _Chemicals Industry:
-
-**Chemicals Industry**
-
-The chemicals industry includes a wide range of diverse industries, including the production of basic organic compounds (olefins, alcohols, aromatics), basic inorganic compounds (ammonia, chlorine), polymers (plastics), and end-user products (cosmetics, pharmaceutics).
-
-The chemicals industry consumes large amounts of fossil-fuel based feedstocks (see `Levi et. al <https://pubs.acs.org/doi/10.1021/acs.est.7b04573>`__), which can also be produced from renewables as outlined for hydrogen (see :ref:`Hydrogen supply`), for methane (see :ref:`Methane supply`), and for oil-based products (see :ref:`Oil-based products supply`). The ratio between synthetic and fossil-based fuels used in the industry is an endogenous result of the optimisation.
-
-The basic chemicals consumption data from the `JRC IDEES  <https://op.europa.eu/en/publication-detail/-/publication/989282db-ad65-11e7-837e-01aa75ed71a1/language-en>`__ database comprises high- value chemicals (ethylene, propylene and BTX), chlorine, methanol and ammonia. However, it is necessary to separate out these chemicals because their current and future production routes are different.
-
-Statistics for the production of ammonia, which is commonly used as a fertilizer, are taken from the `USGS <https://www.usgs.gov/media/files/nitrogen-2017-xlsx>`__ for every country. Ammonia can be made from hydrogen and nitrogen using the Haber-Bosch process.
-
-.. math::
-   N_2 + 3H_2 \xrightarrow{}  2NH_3
-
-
-
-The Haber-Bosch process is not explicitly represented in the model, such that demand for ammonia enters the model as a demand for hydrogen ( 6.5 MWh :math:`_{H_2}` / t :math:`_{NH_3}` ) and electricity ( 1.17 MWh :math:`_{el}` /t :math:`_{NH_3}` ) (see `Wang et. al <https://doi.org/10.1016/j.joule.2018.04.017>`__). Today, natural gas dominates in Europe as the source for the hydrogen used in the Haber-Bosch process, but the model can choose among the various hydrogen supply options described in the hydrogen section (see :ref:`Hydrogen supply`)
-
-The total production and specific energy consumption of chlorine and methanol is taken from a `DECHEMA report <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf>`__. According to this source, the production of chlorine amounts to 9.58 MtCl/a, which is assumed to require electricity at 3.6 MWh :math:`_{el}`/t of chlorine and yield hydrogen at 0.937 MWh :math:`_{H_2}`/t of chlorine in the chloralkali process. The production of methanol adds up to 1.5 MtMeOH/a. Low-carbon methanol production (or methanolisation) by hydrogenation of :math:`CO_2` requires hydrogen at 6.299 MWh :math:`_{H_2}`/t of methanol, carbon dioxide at 1.373 t :math:`_{CO_2}`/t of methanol and electricity at 1.5 MWh :math:`_{el}`/t of methanol. The energy content of methanol is 5.528 MWh :math:`_{MeOH}`/t of methanol. These values are set exogenously in the config file.
-
-The production of ammonia, methanol, and chlorine production is deducted from the JRC IDEES basic chemicals, leaving the production totals of high-value chemicals. For this, we assume that the liquid hydrocarbon feedstock comes from synthetic or fossil- origin naphtha (14 MWh :math:`_{naphtha}`/t of HVC, similar to `Lechtenböhmer et al <https://doi.org/10.1016/j.energy.2016.07.110>`__), ignoring the methanol-to-olefin route. Furthermore, we assume the following transformations of the energy-consuming processes in the production of plastics: the final energy consumption in steam processing is converted to methane since requires temperature above 500 °C (4.1 MWh :math:`_{CH_4}` /t of HVC, see `Rehfeldt et al. <https://doi.org/10.1007/s12053-017-9571-y>`__); and the remaining processes are electrified using the current efficiency of microwave for high-enthalpy heat processing, electric furnaces, electric process cooling and electric generic processes (2.85 MWh :math:`_{el}`/t of HVC).
-
-The process emissions from feedstock in the chemical industry are as high as 0.369 t :math:`_{CO_2}`/t of ethylene equivalent. We consider process emissions for all the material output, which is a conservative approach since it assumes that all plastic-embedded :math:`CO_2` will eventually be released into the atmosphere. However, plastic disposal in landfilling will avoid, or at least delay, associated :math:`CO_2` emissions.
-
-Circular economy practices drastically reduce the amount of primary feedstock needed for the production of plastics in the model (see `Kullmann et al. <https://doi.org/10.1016/j.energy.2022.124660>`__, `Meys et al. (2021) <https://doi.org/10.1126/science.abg9853>`__, `Meys et al. (2020) <https://doi.org/10/gmxv6z>`__, `Gu et al. <https://doi.org/10/gf8n9w>`__) and consequently, also the energy demands and level of process emission. The percentage of plastics that are assumed to be mechanically recycled can be selected in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L315>`__, as well as
-the percentage that is chemically recycled, see `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L316>`__ The energy consumption for those recycling processes are respectively 0.547 MWh :math:`_{el}`/t of HVC (as indicated in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L318>`__) (`Meys et al. (2020) <https://doi.org/10/gmxv6z>`__), and 6.9 MWh :math:`_{el}`/t of HVC (as indicated in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/776596ab9ac6a6cc93422ccfd0383abeffb0baa9/config.default.yaml#L319>`__) based on pyrolysis and electric steam cracking (see `Materials Economics <https://materialeconomics.com/publications/industrial-transformation-2050>`__ report).
-
-
-**Non-metallic Mineral Products**
-
-This subsector includes the manufacturing of cement, ceramics, and glass.
-
-*Cement*
-
-Cement is used in construction to make concrete. The production of cement involves high energy consumption and large process emissions. The calcination of limestone to chemically reactive calcium oxide, also known as lime, involves process emissions of 0.54 t :math:`_{CO_2}` /t cement (see `Akhtar et al. <https://doi.org/10.1109/CITCON.2013.6525276>`__.
-
-
-.. math::
-   CaCO_3 \xrightarrow{}  CaO + CO_2
-
-
-Additionally, :math:`CO_2` is emitted from the combustion of fossil fuels to provide process heat. Thereby, cement constitutes the biggest source of industry process emissions in Europe.
-
-Cement process emissions can be captured assuming a capture rate of 90%. Whether emissions are captured is decided by the model taking into account the capital costs of carbon capture modules. The electricity and heat demand of process emission carbon capture is currently ignored. For net-zero emission scenarios, the remaining process emissions need to be compensated by negative emissions.
-
-With the exception of electricity demand and biomass demand for low-temperature heat (0.06 MWh/t and 0.2 MWh/t), the final energy consumption of this subsector is assumed to be supplied by methane (0.52 MWh/t), which is capable of delivering the required high-temperature heat. This implies a switch from burning solid fuels to burning gas which will require adjustments of the `kilns <10.1109/CITCON.2013.6525276>`__. The share of fossil vs. synthetic methane consumed is a result of the optimisation
-
-
-*Ceramics*
-
-The ceramics sector is assumed to be fully electrified based on the current efficiency of already electrified processes which include microwave drying and sintering of raw materials, electric kilns for primary production processes, electric furnaces for the `product finishing <https://data.europa.eu/doi/10.2760/182725>`__. In total, the final electricity consumption is 0.44 MWh/t of ceramic. The manufacturing of ceramics includes process emissions of 0.03 t :math:`_{CO_2}`/t of ceramic. For a detailed overview of the ceramics industry sector see `Furszyfer Del Rio et al <https://doi.org/10.1016/j.rser.2021.111885>`__.
-
-*Glass*
-
-The production of glass is assumed to be fully electrified based on the current efficiency of electric melting tanks and electric annealing which adds up to an electricity demand of 2.07 MWh :math:`_{el}`/t of `glass <https://doi.org/10/f9df2m>`__. The manufacturing of glass incurs process emissions of 0.1 t :math:`_{CO_2}`/t of glass. Potential efficiency improvements, which according to `Lechtenböhmer et al <https://doi.org/10/f9df2m>`__ could reduce energy demands to 0.85 MW :math:`_{el}`/t of glass, have not been considered. For a detailed overview of the glass industry sector see `Furszyfer Del Rio et al <https://doi.org/10.1016/j.rser.2021.111885>`__.
-
-
-**Non-ferrous Metals**
-
-The non-ferrous metal subsector includes the manufacturing of base metals (aluminium, copper, lead, zinc), precious metals (gold, silver), and technology metals (molybdenum, cobalt, silicon).
-
-The manufacturing of aluminium accounts for more than half of the final energy consumption of this subsector. Two alternative processing routes are used today to manufacture aluminium in Europe. The primary route represents 40% of the aluminium pro- duction, while the secondary route represents the remaining 60%.
-
-The primary route involves two energy-intensive processes: the production of alumina from bauxite (aluminium ore) and the electrolysis to transform alumina into aluminium via the Hall-Héroult process
-
-.. math::
-   2Al_2O_3 +3C \xrightarrow{}  4Al+3CO_2
-
-
-The primary route requires high-enthalpy heat (2.3 MWh/t) to produce alumina which is supplied by methane and causes process emissions of 1.5 t :math:`_{CO_2}`/t aluminium. According to `Friedrichsen et al. <http://www.umweltbundesamt.de/en/publikationen/comparative-analysis-of-options-potential-for>`__, inert anodes might become commercially available by 2030 that would eliminate the process emissions, but they are not included in the model. Assuming all subprocesses are electrified, the primary route requires 15.4 MWh :math:`_{el}`/t of aluminium.
-
-In the secondary route, scrap aluminium is remelted. The energy demand for this process is only 10% of the primary route and there are no associated process emissions. Assuming all subprocesses are electrified, the secondary route requires 1.7 MWh/t of aluminium. The share of aliminum manufactured by the primary and secondary route can be selected in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L297>`__]
-
-For the other non-ferrous metals, we assume the electrification of the entire manufacturing process with an average electricity demand of 3.2 MWh :math:`_{el}`/t lead equivalent.
-
-**Other Industry Subsectors**
-
-The remaining industry subsectors include (a) pulp, paper, printing, (b) food, beverages, tobacco, (c) textiles and leather, (d) machinery equipment, (e) transport equipment, (f) wood and wood products, (g) others. Low- and mid-temperature process heat in these industries is assumed to be `supplied by biomass <https://doi.org/10.1016/j.rser.2021.110856>`__  while the remaining processes are electrified. None of the subsectors involve process emissions.
-
-
-Agriculture demand
-=========================
-
-Energy demands for the agriculture, forestry and fishing sector per country are taken from the `JRC-IDEES database <http://data.europa.eu/89h/jrc-10110-10001>`__. Missing countries are filled with `Eurostat data <https://ec.europa.eu/eurostat/web/energy/data/energy-balances>`__. Agricultural energy demands are split into electricity (lighting, ventilation, specific electricity uses, electric pumping devices), heat (specific heat uses, low enthalpy heat), and machinery oil (motor drives, farming machine drives, diesel-fueled pumping devices). Heat demand is assigned at “services rural heat” buses. Time series for demands are assumed to be constant and distributed inside countries by population.
-
-.. _Transportation:
-
-Transportation
-=========================
-Annual energy demands for land transport, aviation and shipping for every country are retrieved from `JRC-IDEES data set <http://data.europa.eu/89h/jrc-10110-10001>`__. Below, the details of how each of these categories are treated is explained.
-
-.. _Land transport:
-
-**Land transport**
-
-Both road and rail transport is combined as `land transport demand <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/build_transport_demand.py#L74>`__ although electrified rail transport is excluded because that demand is included in the current electricity demand.
-
-The most important settings for land transport are the exogenously fixed fuel mix (an option enabling the endogeous optimization of transport electrification is planned but not yet implemented). In the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L181>`__, the share of battery electric vehicles (BEV) and hydrogen fuel cell vehicles (FCEV) can be set. The remaining percentage will be treated as internal combustion engines (ICE) that consume oil products.
-
-*Battery Electric vehicles (BEV)*
-
-For the electrified land transport, country-specific factors are computed by comparing the `current car final energy consumption per km in <https://www.sciencedirect.com/science/article/pii/S0360544216310295>`__ (average for Europe 0.7 kWh/km) to the 0.18 kWh/km value assumed for battery-to-wheels efficiency in EVs. The characteristic `weekly profile <https://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/zaehl_node.html>`__ provided by the German Federal Highway Research Institute (BASt) is used to obtain hourly time series for European countries taking into account the corresponding local times. Furthermore, a temperature dependence is included in the time series to account for heating/cooling demand in transport. For temperatures `below <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L166>`__/`above <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L165>`__ certain threshold values, e.g. 15 °C/20 °C, `temperature coefficients <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L169>`__ of typically 0.98%/°C and 0.63%/°C are assumed, based on the `paper <https://www.sciencedirect.com/science/article/pii/S036054421831288X>`__.
-
-For BEVs the user can define the `storage energy capacity <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L173>`__, `charging power capacity <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L176>`__, and `charging efficiency <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L174>`__.
-
-For BEV, smart charging is an option. A `certain share <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L172>`__ of the BEV fleet can shift their charging time. The BEV state of charge is forced to be higher than a `set percentage <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L163>`__, e.g. 75%, every day at a `specified hour <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L164>`__, e.g., 7 am, to ensure that the batteries are sufficiently charged for peak usage in the morning and they not behave as seasonal storage. They also have the option to participate in vehicle-to-grid (V2G) services to facilitate system operation if that `is enabled <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L179>`__.
-
-The battery cost of BEV is not included in the model since it is assumed that BEV owners buy them to primarily satisfy their mobility needs.
-
-*Hydrogen fuel cell vehicles (FCEV)*
-
-The share of all land transport that is specified to be be FCEV will be converted to a demand for hydrogen (see :ref:`Hydrogen supply`) using the `FCEV efficiency
-<https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L191>`__.
-
-FCEVs are typically used to simulate demand for transport that is hard to electrify directly, e.g. heavy construction machinery. But it may also be used to investigate a more widespread adoption of the technology.
-
-*Internal combustion engine vehicles (ICE)*
-
-All land transport that is not specified to be either BEV or FCEV will be treated as conventional ICEs. The transport demand is converted to a demand for oil products (see :ref:`Oil-based products supply`) using the `ICE efficiency
-<https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L192>`__.
-
-.. _Aviation:
-
-**Aviation**
-
-The `demand for aviation <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2193>`__ includes international and domestic use. It is modelled as an oil demand since aviation consumes kerosene. This can be produced synthetically or have fossil-origin (see :ref:`Oil-based products supply`).
-
-.. _Shipping:
-
-**Shipping**
-
-Shipping energy demand is covered by a combination of oil, hydrogen and methanol. Other fuel options, like ammonia, are currently not included in PyPSA-Eur-Sec. The share of shipping that is assumed to be supplied by hydrogen or methanol can be selected in the `config file <https://github.com/PyPSA/pypsa-eur/blob/master/config/config.default.yaml#L475>`__.
-
-To estimate the `hydrogen demand <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2090>`__, the average fuel efficiency of the fleet is used in combination with the efficiency of the fuel cell defined in the technology-data repository. The average fuel efficiency is set in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L196>`__.
-
-The consumed hydrogen comes from the general hydrogen bus where it can be produced by SMR, SMR+CC or electrolysers (see :ref:`Hydrogen supply`). The fraction that is not converted into hydrogen use oil products, i.e. is connected to the general oil bus.
-
-The energy demand for liquefaction of the hydrogen used for shipping can be `included  <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L197>`__. If this option is selected, liquifaction will happen at the `node where the shipping demand occurs <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/scripts/prepare_sector_network.py#L2064>`__.
-
-The consumed methanol comes from the general methanol bus where it is produced through methanolisation (see :ref:`Chemicals Industry`).
-
-.. _Carbon dioxide capture, usage and sequestration (CCU/S):
-
-Carbon dioxide capture, usage and sequestration (CCU/S)
-=========================================================
-
-PyPSA-Eur-Sec includes carbon capture from air (i.e., direct air capture (DAC)), electricity generators, and industrial facilities. It furthermore includes carbon dioxide storage and transport, the usage of carbon dioxide in synthetic methane and oil products, as well as the sequestration of carbon dioxide underground.
-
-**Carbon dioxide capture**
-
-For the following point source emissions, carbon capture is applicable:
-
-•	Industry process emissions, e.g., from limestone in cement production
-
-•	Methane or biomass used for process heat in the industry
-
-•	Hydrogen production by SMR
-
-•	CHP plants using biomass or methane
-
-•	`Coal power plants <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L242>`__.
-
-Point source emissions are captured assuming a capture rate, e.g. 90%, which can be specified in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L249>`__. The electricity and heat demand of process emission carbon capture
-is currently ignored.
-
-DAC (if `included <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L243>`__) includes the adsorption phase where electricity and heat consumptionsare required to assist the adsorption process and regenerate the adsorbent. It also includes the drying and compression of :math:`CO_2` prior to storage which consumes electricity and rejects heat.
-
-*Carbon dioxide usage*
-
-Captured :math:`CO_2` can be used to produce synthetic methane and synthetic oil products (e.g.
-naphtha). If captured carbon is used, the :math:`CO_2` emissions of the synthetic fuels are net-neutral.
-
-*Carbon dioxide sequestration*
-
-Captured :math:`CO_2` can also be sequestered underground up to an annual sequestration limit of 200 Mt :math:`_{CO_2}`/a. This limit can be chosen in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L246>`__. As stored carbon dioxide is modelled as a single node for Europe, :math:`CO_2` transport constraints are neglected. Since :math:`CO_2` sequestration is an immature technology, the cost assumption is defined in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L247>`__.
-
-*Carbon dioxide transport*
-
-Carbon dioxide can be modelled as a single node for Europe (in this case, :math:`CO_2` transport constraints are neglected). A network for modelling the transport of :math:`CO_2` among the different nodes can also be created if selected in the `config file <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L248>`__.
diff --git a/doc/support.md b/doc/support.md
new file mode 100644
index 0000000000..8bf6c89b6c
--- /dev/null
+++ b/doc/support.md
@@ -0,0 +1,15 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Support
+
+Please consider the following ways to reach out to the community and the contributors:
+
+* To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the [Discord server](https://discord.gg/AnuJBk23FU). Open-TYNDP has its own dedicated channel [pypsa-open-tyndp](https://discord.com/channels/911692131440148490/1414977512089321564) for project-specific discussions.
+
+  * The [PyPSA mailing](https://groups.google.com/group/pypsa) list previously was used for all kind of questions. Please use Discord server going forward, while the mailing list remains accessible as a knowledge archive.
+  * For questions about Open-TYNDP or other queries, reach out via [tyndp@openenergytransition.org](mailto:tyndp@openenergytransition.org).
+  * Stay updated by signing up for the [project newsletter](https://openenergytransitionnewsletter.eo.page/tyndp-oet).
+* For **bugs and feature requests**, please use the relevant issue tracker. The [Open-TYNDP issues](https://github.com/open-energy-transition/open-tyndp/issues) collects known topics we are working on. Since this project relies on a soft-fork strategy, upstream issues should be addressed in the [PyPSA-Eur repository](https://github.com/PyPSA/PyPSA-Eur/issues). Package-related issues should be addressed in the [PyPSA repository](https://github.com/PyPSA/PyPSA/issues).
+* We strongly welcome anyone interested in providing **contributions** to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on [Github](https://github.com/open-energy-transition/open-tyndp) or directly on the [PyPSA-Eur Upstream](https://github.com/PyPSA/PyPSA-Eur).
diff --git a/doc/support.rst b/doc/support.rst
deleted file mode 100644
index ea0f8df866..0000000000
--- a/doc/support.rst
+++ /dev/null
@@ -1,18 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Support
-##########################################
-
-Please consider the following ways to reach out to the community and the contributors:
-
-* To **discuss** with other PyPSA users, organise projects, share news, and get in touch with the community you can use the `Discord server <https://discord.gg/AnuJBk23FU>`_. Open-TYNDP has its own dedicated channel `pypsa-open-tyndp <https://discord.com/channels/911692131440148490/1414977512089321564>`_ for project-specific discussions.
-
-  * The `PyPSA mailing <https://groups.google.com/group/pypsa>`_ list previously was used for all kind of questions. Please use Discord server going forward, while the mailing list remains accessible as a knowledge archive.
-  * For questions about Open-TYNDP or other queries, reach out via `tyndp@openenergytransition.org <mailto:tyndp@openenergytransition.org>`_.
-  * Stay updated by signing up for the `project newsletter <https://openenergytransitionnewsletter.eo.page/tyndp-oet>`_.
-* For **bugs and feature requests**, please use the relevant issue tracker. The `Open-TYNDP issues <https://github.com/open-energy-transition/open-tyndp/issues>`_ collects known topics we are working on. Since this project relies on a soft-fork strategy, upstream issues should be addressed in the `PyPSA-Eur repository <https://github.com/PyPSA/PyPSA-Eur/issues>`_. Package-related issues should be addressed in the `PyPSA repository <https://github.com/PyPSA/PyPSA/issues>`_.
-* We strongly welcome anyone interested in providing **contributions** to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on `Github <https://github.com/open-energy-transition/open-tyndp>`_ or directly on the `PyPSA-Eur Upstream <https://github.com/PyPSA/PyPSA-Eur>`_.
diff --git a/doc/tutorial.md b/doc/tutorial.md
new file mode 100644
index 0000000000..f517b40096
--- /dev/null
+++ b/doc/tutorial.md
@@ -0,0 +1,274 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Tutorial: Electricity-Only {#tutorial}
+
+<iframe width="832" height="468" src="https://www.youtube.com/embed/mAwhQnNRIvs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+
+!!! note
+    If you have not done it yet, follow the [installation](installation.md) steps first.
+
+In this tutorial, we will build a heavily simplified power system model for
+Belgium. But before getting started with **PyPSA-Eur** it makes sense to be familiar
+with its general modelling framework [PyPSA](https://pypsa.readthedocs.io).
+
+Running the tutorial requires limited computational resources compared to the
+full model, which allows the user to explore most of its functionalities on a
+local machine. The tutorial will cover examples on how to configure and
+customise the PyPSA-Eur model and run the ``snakemake`` workflow step by step
+from network creation to the solved network. The configuration for the tutorial
+is located at ``config/test/config.electricity.yaml``. It includes parts deviating from
+the default config file ``config/config.default.yaml``. To run the tutorial with this
+configuration, execute
+
+```console
+$ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
+```
+
+This configuration is set to download a reduced cutout via the rule `retrieve_cutout`.
+For more information on the data dependencies of PyPSA-Eur, continue reading [Retrieving Data](retrieve.md#data).
+
+## How to configure runs?
+
+The model can be adapted to only include selected countries (e.g. Belgium) instead of all European countries to limit the spatial scope.
+
+```yaml
+{{ yaml_section("countries", source="test/config.electricity.yaml") }}
+```
+
+Likewise, the example's temporal scope can be restricted (e.g. to a single week).
+
+```yaml
+{{ yaml_section("snapshots", source="test/config.electricity.yaml") }}
+```
+
+It is also possible to allow less or more carbon-dioxide emissions. Here, we limit the emissions of Belgium to 100 Mt per year.
+
+```yaml
+{{ yaml_section("electricity.co2limit_enable", "electricity.co2limit", source="test/config.electricity.yaml") }}
+```
+
+PyPSA-Eur also includes a database of existing conventional powerplants.
+We can select which types of existing powerplants we like to be extendable:
+
+```yaml
+{{ yaml_section("electricity.extendable_carriers", source="test/config.electricity.yaml") }}
+```
+
+To accurately model the temporal and spatial availability of renewables such as
+wind and solar energy, we rely on historical weather data. It is advisable to
+adapt the required range of coordinates to the selection of countries.
+
+```yaml
+{{ yaml_section("atlite", source="test/config.electricity.yaml") }}
+```
+
+We can also decide which weather data source should be used to calculate
+potentials and capacity factor time-series for each carrier. For example, we may
+want to use the ERA-5 dataset for solar and not the default SARAH-3 dataset.
+
+```yaml
+{{ yaml_section("renewable.solar.cutout") }}
+```
+
+Finally, it is possible to pick a solver. For instance, this tutorial uses the
+open-source solver HiGHS.
+
+```yaml
+{{ yaml_section("solving.solver", source="test/config.electricity.yaml") }}
+```
+
+Note, that ``config/test/config.electricity.yaml`` only includes changes relative to
+the default configuration. There are many more configuration options, which are
+documented at [Configuration](configuration.md).
+
+### Directory Structure and Configuration Settings
+
+It's important to understand how certain configuration settings affect the directory structure in PyPSA-Eur:
+
+- ``run.name`` determines the subdirectory within the ``results`` folder (e.g., ``results/test-elec/networks/...``)
+- ``run.shared_resources.policy`` determines the subdirectory within the ``resources`` folder (e.g., ``resources/test/networks/...``)
+
+These settings work together to organize model runs:
+
+- Final model outputs are always stored in ``results/[run.name]/...``
+- Intermediate files can be either:
+    - Specific to a run: ``resources/[run.shared_resources.policy]/...`` (if policy is a string)
+    - Shared between runs: ``resources/...`` (if policy is ``true``)
+    - Not shared between runs: ``resources/[run.name]`` (if policy is ``false``)
+    - Partially shared: If policy is ``"base"``, some common files are shared while others remain run-specific
+
+For this tutorial, with ``run.name: "test-elec"`` and ``run.shared_resources.policy: "test"``,
+intermediate resources are stored in ``resources/test/...`` while results are in ``results/test-elec/...``.
+
+The implementation of this behavior can be found in ``scripts/_helpers.py``.
+
+## How to use ``snakemake`` rules?
+
+Open a terminal, go into the PyPSA-Eur directory, and activate the ``pypsa-eur`` environment with
+
+```console
+$ pixi shell -e open-tyndp
+```
+
+Let's say based on the modifications above we would like to solve a very simplified model
+clustered down to 6 buses and every 24 hours aggregated to one snapshot. The command
+
+```console
+$ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
+```
+
+orders ``snakemake`` to run the rule [solve_network][] that produces the solved network and stores it in ``results/test-elec/networks`` with the name ``base_s_6_elec_.nc``:
+
+```python
+rule solve_network:
+    input:
+        network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
+    output:
+        network=RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
+        config=RESULTS + "configs/config.base_s_{clusters}_elec_{opts}.yaml",
+        model=(
+            RESULTS + "models/base_s_{clusters}_elec_{opts}.nc"
+            if config["solving"]["options"]["store_model"]
+            else []
+        ),
+    log:
+        solver=normpath(
+            RESULTS + "logs/solve_network/base_s_{clusters}_elec_{opts}_solver.log"
+        ),
+        memory=RESULTS + "logs/solve_network/base_s_{clusters}_elec_{opts}_memory.log",
+        python=RESULTS + "logs/solve_network/base_s_{clusters}_elec_{opts}_python.log",
+    benchmark:
+        (RESULTS + "benchmarks/solve_network/base_s_{clusters}_elec_{opts}")
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=memory,
+        runtime=config_provider("solving", "runtime", default="6h"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+    message:
+        "Solving electricity network optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
+    script:
+        scripts("solve_network.py")
+```
+
+This triggers a workflow of multiple preceding jobs that depend on each rule's inputs and outputs:
+
+[![Electricity tutorial DAG](img/dag_electricity.svg)](img/dag_electricity.svg)
+
+In the terminal, this will show up as a list of jobs to be run:
+
+```console
+Building DAG of jobs...
+Job stats:
+job                                      count
+-------------------------------------  -------
+add_electricity                              1
+add_transmission_projects_and_dlr            1
+base_network                                 1
+build_electricity_demand                     1
+build_electricity_demand_base                1
+build_line_rating                            1
+build_osm_boundaries                         4
+build_powerplants                            1
+build_renewable_profiles                     6
+build_shapes                                 1
+build_ship_raster                            1
+build_transmission_projects                  1
+cluster_network                              1
+determine_availability_matrix                6
+prepare_network                              1
+retrieve_cost_data                           1
+retrieve_databundle                          1
+retrieve_eez                                 1
+retrieve_electricity_demand                  1
+retrieve_jrc_ardeco                          1
+retrieve_nuts_2021_shapes                    1
+retrieve_osm_boundaries                      4
+retrieve_osm_prebuilt                        1
+retrieve_ship_raster                         1
+retrieve_synthetic_electricity_demand        1
+simplify_network                             1
+solve_network                                1
+total                                       43
+```
+
+
+``snakemake`` then runs these jobs in the correct order.
+
+A job (here ``build_powerplants``) will display its attributes and normally some logs below this block:
+
+```console
+rule build_powerplants:
+    input: resources/test/networks/base_s_6.nc, data/custom_powerplants.csv
+    output: resources/test/powerplants_s_6.csv
+    log: logs/test/build_powerplants_s_6.log
+    jobid: 43
+    benchmark: benchmarks/test/build_powerplants_s_6
+    reason: Missing output files: resources/test/powerplants_s_6.csv; Input files updated by another job: resources/test/networks/base_s_6.nc
+    wildcards: clusters=6
+    resources: tmpdir=<TBD>, mem_mb=7000, mem_mib=6676
+```
+
+Once the whole worktree is finished, it should state so in the terminal.
+
+You will notice that many intermediate stages are saved, namely the outputs of each individual ``snakemake`` rule.
+
+You can produce any output file occurring in the ``Snakefile`` by running
+
+```console
+$ snakemake -call <output file>
+```
+
+For example, you can explore the evolution of the PyPSA networks by running
+
+1. ``snakemake -call resources/test/networks/base.nc --configfile config/test/config.electricity.yaml``
+2. ``snakemake -call resources/test/networks/base_s.nc --configfile config/test/config.electricity.yaml``
+3. ``snakemake -call resources/test/networks/base_s_6.nc --configfile config/test/config.electricity.yaml``
+4. ``snakemake -call resources/test/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml``
+
+To run all combinations of wildcard values provided in the ``config/config.yaml`` under ``scenario:``,
+you can use the collection rule ``solve_elec_networks``.
+
+```console
+$ snakemake -call solve_elec_networks --configfile config/test/config.electricity.yaml
+```
+
+If you now feel confident and want to tackle runs with larger temporal and
+spatial scope, clean-up the repository and after modifying the ``config/config.yaml`` file
+target the collection rule ``solve_elec_networks`` again without providing the test
+configuration file.
+
+```console
+$ snakemake -call purge
+snakemake -call solve_elec_networks
+```
+
+!!! note
+    It is good practice to perform a dry-run using the option `-n`, before you
+    commit to a run:
+
+    ```console
+    $ snakemake -call solve_elec_networks -n
+    ```
+
+## How to analyse results?
+
+The solved networks can be analysed just like any other PyPSA network (e.g. in
+Jupyter Notebooks).
+
+```python
+import pypsa
+
+n = pypsa.Network("results/test-elec/networks/base_s_6_elec_.nc")
+```
+
+For inspiration, read the [examples section in the PyPSA documentation](https://pypsa.readthedocs.io/en/latest/examples-basic.html).
diff --git a/doc/tutorial.rst b/doc/tutorial.rst
deleted file mode 100644
index b2bb2cd46b..0000000000
--- a/doc/tutorial.rst
+++ /dev/null
@@ -1,413 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _tutorial:
-
-###############################
-Tutorial: Electricity-Only
-###############################
-
-.. raw:: html
-
-    <iframe width="832" height="468" src="https://www.youtube.com/embed/mAwhQnNRIvs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
-.. note::
-    If you have not done it yet, follow the :ref:`installation` steps first.
-
-In this tutorial, we will build a heavily simplified power system model for
-Belgium. But before getting started with **PyPSA-Eur** it makes sense to be familiar
-with its general modelling framework `PyPSA <https://pypsa.readthedocs.io>`__.
-
-Running the tutorial requires limited computational resources compared to the
-full model, which allows the user to explore most of its functionalities on a
-local machine. The tutorial will cover examples on how to configure and
-customise the PyPSA-Eur model and run the ``snakemake`` workflow step by step
-from network creation to the solved network. The configuration for the tutorial
-is located at ``config/test/config.electricity.yaml``. It includes parts deviating from
-the default config file ``config/config.default.yaml``. To run the tutorial with this
-configuration, execute
-
-.. code:: console
-    :class: full-width
-
-    $ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
-
-This configuration is set to download a reduced cutout via the rule :mod:`retrieve_cutout`.
-For more information on the data dependencies of PyPSA-Eur, continue reading :ref:`data`.
-
-How to configure runs?
-===========================
-
-The model can be adapted to only include selected countries (e.g. Belgium) instead of all European countries to limit the spatial scope.
-
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: countries:
-   :end-before: snapshots:
-
-Likewise, the example's temporal scope can be restricted (e.g. to a single week).
-
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: snapshots:
-   :end-before: electricity:
-
-It is also possible to allow less or more carbon-dioxide emissions. Here, we limit the emissions of Belgium to 100 Mt per year.
-
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: electricity:
-   :end-before: extendable_carriers:
-
-PyPSA-Eur also includes a database of existing conventional powerplants.
-We can select which types of existing powerplants we like to be extendable:
-
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: extendable_carriers:
-   :end-before: renewable_carriers:
-
-To accurately model the temporal and spatial availability of renewables such as
-wind and solar energy, we rely on historical weather data. It is advisable to
-adapt the required range of coordinates to the selection of countries.
-
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: atlite:
-   :end-before: renewable:
-
-We can also decide which weather data source should be used to calculate
-potentials and capacity factor time-series for each carrier. For example, we may
-want to use the ERA-5 dataset for solar and not the default SARAH-3 dataset.
-
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: solar:
-   :end-at: cutout:
-
-Finally, it is possible to pick a solver. For instance, this tutorial uses the
-open-source solver HiGHS.
-
-.. literalinclude:: ../config/test/config.electricity.yaml
-   :language: yaml
-   :start-at: solver:
-   :end-before: check_objective:
-
-Note, that ``config/test/config.electricity.yaml`` only includes changes relative to
-the default configuration. There are many more configuration options, which are
-documented at :ref:`config`.
-
-Directory Structure and Configuration Settings
-----------------------------------------------
-
-It's important to understand how certain configuration settings affect the directory structure in PyPSA-Eur:
-
-- ``run.name`` determines the subdirectory within the ``results`` folder (e.g., ``results/test-elec/networks/...``)
-- ``run.shared_resources.policy`` determines the subdirectory within the ``resources`` folder (e.g., ``resources/test/networks/...``)
-
-These settings work together to organize model runs:
-
-- Final model outputs are always stored in ``results/[run.name]/...``
-- Intermediate files can be either:
-  - Specific to a run: ``resources/[run.shared_resources.policy]/...`` (if policy is a string)
-  - Shared between runs: ``resources/...`` (if policy is ``true``)
-  - Not shared between runs: ``resources/[run.name]``(if policy is ``false``)
-  - Partially shared: If policy is ``"base"``, some common files are shared while others remain run-specific
-
-For this tutorial, with ``run.name: "test-elec"`` and ``run.shared_resources.policy: "test"``,
-intermediate resources are stored in ``resources/test/...`` while results are in ``results/test-elec/...``.
-
-The implementation of this behavior can be found in ``scripts/_helpers.py``.
-
-How to use ``snakemake`` rules?
-===================================
-
-Open a terminal, go into the PyPSA-Eur directory, and activate the ``pypsa-eur`` environment with
-
-.. code:: console
-
-    $ pixi shell -e open-tyndp
-
-Let's say based on the modifications above we would like to solve a very simplified model
-clustered down to 6 buses and every 24 hours aggregated to one snapshot. The command
-
-.. code:: console
-
-    $ snakemake -call results/test-elec/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml
-
-orders ``snakemake`` to run the rule :mod:`solve_network` that produces the solved network and stores it in ``results/test-elec/networks`` with the name ``base_s_6_elec_.nc``:
-
-.. literalinclude:: ../rules/solve_electricity.smk
-   :start-at: rule solve_network:
-   :end-before: rule solve_operations_network:
-
-This triggers a workflow of multiple preceding jobs that depend on each rule's inputs and outputs:
-
-.. graphviz::
-    :class: full-width
-    :align: center
-
-    digraph snakemake_dag {
-        graph[bgcolor=white, margin=0];
-        node[shape=box, style=rounded, fontname=sans,                 fontsize=10, penwidth=2];
-        edge[penwidth=2, color=grey];
-            0[label = "solve_network", color = "0.15 0.6 0.85", style="rounded"];
-            1[label = "prepare_network\nopts: ", color = "0.07 0.6 0.85", style="rounded"];
-            2[label = "add_electricity", color = "0.49 0.6 0.85", style="rounded"];
-            3[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            4[label = "determine_availability_matrix\ntechnology: solar", color = "0.10 0.6 0.85", style="rounded"];
-            5[label = "retrieve_databundle", color = "0.02 0.6 0.85", style="rounded"];
-            6[label = "build_shapes", color = "0.05 0.6 0.85", style="rounded"];
-            7[label = "retrieve_eez", color = "0.10 0.6 0.85", style="rounded"];
-            8[label = "retrieve_nuts_2021_shapes", color = "0.49 0.6 0.85", style="rounded"];
-            9[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            10[label = "retrieve_osm_boundaries\ncountry: BA", color = "0.52 0.6 0.85", style="rounded"];
-            11[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            12[label = "retrieve_osm_boundaries\ncountry: MD", color = "0.52 0.6 0.85", style="rounded"];
-            13[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            14[label = "retrieve_osm_boundaries\ncountry: UA", color = "0.52 0.6 0.85", style="rounded"];
-            15[label = "build_osm_boundaries", color = "0.43 0.6 0.85", style="rounded"];
-            16[label = "retrieve_osm_boundaries\ncountry: XK", color = "0.52 0.6 0.85", style="rounded"];
-            17[label = "retrieve_jrc_ardeco", color = "0.06 0.6 0.85", style="rounded"];
-            18[label = "cluster_network\nclusters: 6", color = "0.12 0.6 0.85", style="rounded"];
-            19[label = "simplify_network", color = "0.33 0.6 0.85", style="rounded"];
-            20[label = "add_transmission_projects_and_dlr", color = "0.46 0.6 0.85", style="rounded"];
-            21[label = "base_network", color = "0.00 0.6 0.85", style="rounded"];
-            22[label = "retrieve_osm_prebuilt", color = "0.41 0.6 0.85", style="rounded"];
-            23[label = "build_line_rating", color = "0.57 0.6 0.85", style="rounded"];
-            24[label = "retrieve_cutout\ncutout: be-03-2013-era5", color = "0.18 0.6 0.85", style="rounded"];
-            25[label = "build_transmission_projects", color = "0.04 0.6 0.85", style="rounded"];
-            26[label = "build_electricity_demand_base", color = "0.61 0.6 0.85", style="rounded"];
-            27[label = "build_electricity_demand", color = "0.16 0.6 0.85", style="rounded"];
-            28[label = "retrieve_electricity_demand", color = "0.21 0.6 0.85", style="rounded"];
-            29[label = "retrieve_synthetic_electricity_demand", color = "0.13 0.6 0.85", style="rounded"];
-            30[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            31[label = "determine_availability_matrix\ntechnology: solar-hsat", color = "0.10 0.6 0.85", style="rounded"];
-            32[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            33[label = "determine_availability_matrix\ntechnology: onwind", color = "0.10 0.6 0.85", style="rounded"];
-            34[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            35[label = "determine_availability_matrix\ntechnology: offwind-ac", color = "0.10 0.6 0.85", style="rounded"];
-            36[label = "build_ship_raster", color = "0.36 0.6 0.85", style="rounded"];
-            37[label = "retrieve_ship_raster", color = "0.39 0.6 0.85", style="rounded"];
-            38[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            39[label = "determine_availability_matrix\ntechnology: offwind-dc", color = "0.10 0.6 0.85", style="rounded"];
-            40[label = "build_renewable_profiles", color = "0.25 0.6 0.85", style="rounded"];
-            41[label = "determine_availability_matrix\ntechnology: offwind-float", color = "0.10 0.6 0.85", style="rounded"];
-            42[label = "retrieve_cost_data\nyear: 2040", color = "0.64 0.6 0.85", style="rounded"];
-            43[label = "build_powerplants", color = "0.39 0.6 0.85", style="rounded"];
-            1 -> 0
-            2 -> 1
-            42 -> 1
-            3 -> 2
-            30 -> 2
-            32 -> 2
-            34 -> 2
-            38 -> 2
-            40 -> 2
-            18 -> 2
-            42 -> 2
-            43 -> 2
-            26 -> 2
-            4 -> 3
-            6 -> 3
-            18 -> 3
-            24 -> 3
-            5 -> 4
-            6 -> 4
-            18 -> 4
-            24 -> 4
-            7 -> 6
-            8 -> 6
-            9 -> 6
-            11 -> 6
-            13 -> 6
-            15 -> 6
-            17 -> 6
-            5 -> 6
-            10 -> 9
-            7 -> 9
-            12 -> 11
-            7 -> 11
-            14 -> 13
-            7 -> 13
-            16 -> 15
-            7 -> 15
-            19 -> 18
-            26 -> 18
-            20 -> 19
-            21 -> 19
-            21 -> 20
-            23 -> 20
-            25 -> 20
-            22 -> 21
-            6 -> 21
-            21 -> 23
-            24 -> 23
-            21 -> 25
-            6 -> 25
-            19 -> 26
-            6 -> 26
-            27 -> 26
-            28 -> 27
-            29 -> 27
-            31 -> 30
-            6 -> 30
-            18 -> 30
-            24 -> 30
-            5 -> 31
-            6 -> 31
-            18 -> 31
-            24 -> 31
-            33 -> 32
-            6 -> 32
-            18 -> 32
-            24 -> 32
-            5 -> 33
-            6 -> 33
-            18 -> 33
-            24 -> 33
-            35 -> 34
-            6 -> 34
-            18 -> 34
-            24 -> 34
-            5 -> 35
-            36 -> 35
-            6 -> 35
-            18 -> 35
-            24 -> 35
-            37 -> 36
-            24 -> 36
-            39 -> 38
-            6 -> 38
-            18 -> 38
-            24 -> 38
-            5 -> 39
-            36 -> 39
-            6 -> 39
-            18 -> 39
-            24 -> 39
-            41 -> 40
-            6 -> 40
-            18 -> 40
-            24 -> 40
-            5 -> 41
-            36 -> 41
-            6 -> 41
-            18 -> 41
-            24 -> 41
-            18 -> 43
-    }
-
-|
-
-In the terminal, this will show up as a list of jobs to be run:
-
-.. code:: console
-
-    Building DAG of jobs...
-    Job stats:
-    job                                      count
-    -------------------------------------  -------
-    add_electricity                              1
-    add_transmission_projects_and_dlr            1
-    base_network                                 1
-    build_electricity_demand                     1
-    build_electricity_demand_base                1
-    build_line_rating                            1
-    build_osm_boundaries                         4
-    build_powerplants                            1
-    build_renewable_profiles                     6
-    build_shapes                                 1
-    build_ship_raster                            1
-    build_transmission_projects                  1
-    cluster_network                              1
-    determine_availability_matrix                6
-    prepare_network                              1
-    retrieve_cost_data                           1
-    retrieve_databundle                          1
-    retrieve_eez                                 1
-    retrieve_electricity_demand                  1
-    retrieve_jrc_ardeco                          1
-    retrieve_nuts_2021_shapes                    1
-    retrieve_osm_boundaries                      4
-    retrieve_osm_prebuilt                        1
-    retrieve_ship_raster                         1
-    retrieve_synthetic_electricity_demand        1
-    simplify_network                             1
-    solve_network                                1
-    total                                       43
-
-
-``snakemake`` then runs these jobs in the correct order.
-
-A job (here ``build_powerplants``) will display its attributes and normally some logs below this block:
-
-.. code:: console
-
-    rule build_powerplants:
-        input: resources/test/networks/base_s_6.nc, data/custom_powerplants.csv
-        output: resources/test/powerplants_s_6.csv
-        log: logs/test/build_powerplants_s_6.log
-        jobid: 43
-        benchmark: benchmarks/test/build_powerplants_s_6
-        reason: Missing output files: resources/test/powerplants_s_6.csv; Input files updated by another job: resources/test/networks/base_s_6.nc
-        wildcards: clusters=6
-        resources: tmpdir=<TBD>, mem_mb=7000, mem_mib=6676
-
-Once the whole worktree is finished, it should state so in the terminal.
-
-You will notice that many intermediate stages are saved, namely the outputs of each individual ``snakemake`` rule.
-
-You can produce any output file occurring in the ``Snakefile`` by running
-
-.. code:: console
-
-    $ snakemake -call <output file>
-
-For example, you can explore the evolution of the PyPSA networks by running
-
-#. ``snakemake -call resources/test/networks/base.nc --configfile config/test/config.electricity.yaml``
-#. ``snakemake -call resources/test/networks/base_s.nc --configfile config/test/config.electricity.yaml``
-#. ``snakemake -call resources/test/networks/base_s_6.nc --configfile config/test/config.electricity.yaml``
-#. ``snakemake -call resources/test/networks/base_s_6_elec_.nc --configfile config/test/config.electricity.yaml``
-
-To run all combinations of wildcard values provided in the ``config/config.yaml`` under ``scenario:``,
-you can use the collection rule ``solve_elec_networks``.
-
-.. code:: console
-
-    $ snakemake -call solve_elec_networks --configfile config/test/config.electricity.yaml
-
-If you now feel confident and want to tackle runs with larger temporal and
-spatial scope, clean-up the repository and after modifying the ``config/config.yaml`` file
-target the collection rule ``solve_elec_networks`` again without providing the test
-configuration file.
-
-.. code:: console
-
-    $ snakemake -call purge
-    snakemake -call solve_elec_networks
-
-.. note::
-
-    It is good practice to perform a dry-run using the option `-n`, before you
-    commit to a run:
-
-    .. code:: console
-
-        $ snakemake -call solve_elec_networks -n
-
-How to analyse results?
-===============================
-
-The solved networks can be analysed just like any other PyPSA network (e.g. in
-Jupyter Notebooks).
-
-.. code:: python
-
-    import pypsa
-
-    n = pypsa.Network("results/test-elec/networks/base_s_6_elec_.nc")
-
-For inspiration, read the `examples section in the PyPSA documentation <https://pypsa.readthedocs.io/en/latest/examples-basic.html>`__.
diff --git a/doc/tutorial_sector.md b/doc/tutorial_sector.md
new file mode 100644
index 0000000000..2d4446e1bb
--- /dev/null
+++ b/doc/tutorial_sector.md
@@ -0,0 +1,213 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!---->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Tutorial: Sector-Coupled {#tutorial_sector}
+
+!!! note
+    If you have not done it yet, follow the [installation](installation.md) steps first.
+
+    Also, checkout the tutorial for electricity-only systems first at [Tutorial: Electricity-Only](tutorial.md#tutorial).
+
+In this tutorial, we will add further sectors to the electricity-only model from
+[Tutorial: Electricity-Only](tutorial.md#tutorial), namely industry, transport, and buildings. This
+requires processing of a few more raw data sources.
+
+The sector-coupling code can be run as an overnight / greenfield scenario or
+with multi-horizon investment with myopic foresight. Pathway analysis with
+perfect foresight is under development. See also the documentation on
+[Foresight](configuration.md#foresight_cf).
+
+## Overnight Scenarios
+
+### Configuration
+
+The default configuration file (``config/config.default.yaml``) is set up for running
+overnight scenarios. Running a sector-coupled model unlocks many further
+configuration options. In the example below, we say that the gas network should
+be added and spatially resolved. We also say that the existing gas network may
+be retrofitted to transport hydrogen instead.
+
+```yaml
+{{ yaml_section("sector", source="test/config.overnight.yaml") }}
+```
+
+Documentation for all options will be added successively to [Configuration](configuration.md).
+
+Scenarios can be defined like for electricity-only studies, but with additional
+wildcard options.
+
+```yaml
+{{ yaml_section("scenario", source="test/config.overnight.yaml") }}
+```
+
+For allowed wildcard values, refer to [Wildcards](wildcards.md).
+
+### Execution
+
+To run an overnight / greenfiled scenario with the specifications above, run
+
+```console
+$ snakemake -call all --configfile config/test/config.overnight.yaml
+```
+
+which will result in the following jobs ``snakemake`` wants to run, some of
+which were already included in the electricity-only tutorial:
+
+```console
+job                                                 count
+------------------------------------------------  -------
+add_electricity                                         1
+add_transmission_projects_and_dlr                       1
+all                                                     1
+base_network                                            1
+build_ammonia_production                                1
+build_biomass_potentials                                1
+build_central_heating_temperature_profiles              1
+build_clustered_population_layouts                      1
+build_cop_profiles                                      1
+build_daily_heat_demand                                 1
+build_direct_heat_source_utilisation_profiles           1
+build_district_heat_share                               1
+build_electricity_demand                                1
+build_electricity_demand_base                           1
+build_energy_totals                                     1
+build_gas_input_locations                               1
+build_gas_network                                       1
+build_heat_totals                                       1
+build_hourly_heat_demand                                1
+build_industrial_distribution_key                       1
+build_industrial_energy_demand_per_country_today        1
+build_industrial_energy_demand_per_node                 1
+build_industrial_energy_demand_per_node_today           1
+build_industrial_production_per_country                 1
+build_industrial_production_per_country_tomorrow        1
+build_industrial_production_per_node                    1
+build_industry_sector_ratios                            1
+build_industry_sector_ratios_intermediate               1
+build_osm_boundaries                                    4
+build_population_layouts                                1
+build_population_weighted_energy_totals                 2
+build_powerplants                                       1
+build_renewable_profiles                                6
+build_salt_cavern_potentials                            1
+build_shapes                                            1
+build_ship_raster                                       1
+build_shipping_demand                                   1
+build_temperature_profiles                              1
+build_transmission_projects                             1
+build_transport_demand                                  1
+cluster_gas_network                                     1
+cluster_network                                         1
+determine_availability_matrix                           6
+make_summary                                            1
+plot_gas_network                                        1
+plot_hydrogen_network                                   1
+plot_power_network                                      1
+plot_power_network_clustered                            1
+plot_summary                                            1
+prepare_network                                         1
+prepare_sector_network                                  1
+retrieve_cost_data                                      1
+retrieve_databundle                                     1
+retrieve_eez                                            1
+retrieve_electricity_demand                             1
+retrieve_eurostat_data                                  1
+retrieve_eurostat_household_data                        1
+retrieve_gas_infrastructure_data                        1
+retrieve_gem_europe_gas_tracker                         1
+retrieve_gem_steel_plant_tracker                        1
+retrieve_hotmaps_industrial_sites                       1
+retrieve_jrc_ardeco                                     1
+retrieve_jrc_enspreso_biomass                           1
+retrieve_jrc_idees                                      1
+retrieve_nuts_2013_shapes                               1
+retrieve_nuts_2021_shapes                               1
+retrieve_osm_boundaries                                 4
+retrieve_osm_prebuilt                                   1
+retrieve_ship_raster                                    1
+retrieve_synthetic_electricity_demand                   1
+retrieve_usgs_ammonia_production                        1
+retrieve_worldbank_urban_population                     1
+simplify_network                                        1
+solve_sector_network                                    1
+time_aggregation                                        1
+total                                                  92
+```
+
+This covers the retrieval of additional raw data from online resources and
+preprocessing data about the transport, industry, and heating sectors as well as
+additional rules about geological storage and sequestration potentials, gas
+infrastructure, and biomass potentials. The collection rule ``all`` will also
+generate summary CSV files and plots after the network has been solved
+successfully.
+
+[![Sector-coupled overnight DAG](img/dag_overnight.svg)](img/dag_overnight.svg)
+
+## Myopic Foresight Scenarios
+
+### Configuration
+
+To activate the myopic foresight mode, set
+
+```yaml
+{{ yaml_section("foresight", source="test/config.myopic.yaml") }}
+```
+
+Scenarios can be defined like for electricity-only studies, but with additional
+wildcard options. For the myopic foresight mode, the ``{planning_horizons}`` wildcard
+defines the sequence of investment horizons.
+
+```yaml
+{{ yaml_section("scenario", source="test/config.myopic.yaml") }}
+```
+
+For allowed wildcard values, refer to [Wildcards](wildcards.md).
+
+In the myopic foresight mode, you can tweak for instance exogenously given transition paths, like the one for
+the share of primary steel production we change below:
+
+```yaml
+{{ yaml_section("industry", source="test/config.myopic.yaml") }}
+```
+
+Documentation for all options will be added successively to [Configuration](configuration.md).
+
+### Execution
+
+To run a myopic foresight scenario with the specifications above, run
+
+```console
+$ snakemake -call all --configfile config/test/config.myopic.yaml
+```
+
+which will result in additional jobs ``snakemake`` wants to run, which
+translates to the following workflow diagram which nicely outlines how the
+sequential pathway optimisation with myopic foresight is implemented in the
+workflow:
+
+[![Sector-coupled myopic DAG](img/dag_myopic.svg)](img/dag_myopic.svg)
+
+!!! note
+    The above DAG is abbreviated. The full DAG for the myopic foresight scenario
+    contains all intermediate rules for each planning horizon (2030, 2040, 2050).
+
+## Scaling-Up
+
+If you now feel confident and want to tackle runs with larger temporal, technological and
+spatial scope, clean-up the repository and after modifying the ``config/config.yaml`` file
+target the collection rule ``all`` again without providing the test
+configuration file.
+
+```console
+$ snakemake -call purge
+$ snakemake -call all
+```
+
+!!! note
+    It is good practice to perform a dry-run using the option `-n`, before you
+    commit to a run:
+
+    ```console
+    $ snakemake -call all -n
+    ```
diff --git a/doc/tutorial_sector.rst b/doc/tutorial_sector.rst
deleted file mode 100644
index 7044198716..0000000000
--- a/doc/tutorial_sector.rst
+++ /dev/null
@@ -1,1071 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _tutorial_sector:
-
-###############################
-Tutorial: Sector-Coupled
-###############################
-
-.. note::
-    If you have not done it yet, follow the :ref:`installation` steps first.
-
-    Also, checkout the tutorial for electricity-only systems first at :ref:`tutorial`.
-
-In this tutorial, we will add further sectors to the electricity-only model from
-:ref:`tutorial`, namely industry, transport, and buildings. This
-requires processing of a few more raw data sources.
-
-The sector-coupling code can be run as an overnight / greenfield scenario or
-with multi-horizon investment with myopic foresight. Pathway analysis with
-perfect foresight is under development. See also the documentation on
-:ref:`foresight`.
-
-Overnight Scenarios
-===========================
-
-Configuration
--------------
-
-The default configuration file (``config/config.default.yaml``) is set up for running
-overnight scenarios. Running a sector-coupled model unlocks many further
-configuration options. In the example below, we say that the gas network should
-be added and spatially resolved. We also say that the existing gas network may
-be retrofitted to transport hydrogen instead.
-
-.. literalinclude:: ../config/test/config.overnight.yaml
-   :language: yaml
-   :start-at: sector:
-   :end-before: industry:
-
-Documentation for all options will be added successively to :ref:`config`.
-
-Scenarios can be defined like for electricity-only studies, but with additional
-wildcard options.
-
-.. literalinclude:: ../config/test/config.overnight.yaml
-   :language: yaml
-   :start-at: scenario:
-   :end-before: countries:
-
-For allowed wildcard values, refer to :ref:`wildcards`.
-
-Execution
----------
-
-To run an overnight / greenfiled scenario with the specifications above, run
-
-.. code:: console
-
-    $ snakemake -call all --configfile config/test/config.overnight.yaml
-
-which will result in the following jobs ``snakemake`` wants to run, some of
-which were already included in the electricity-only tutorial:
-
-.. code:: console
-
-    job                                                 count
-    ------------------------------------------------  -------
-    add_electricity                                         1
-    add_transmission_projects_and_dlr                       1
-    all                                                     1
-    base_network                                            1
-    build_ammonia_production                                1
-    build_biomass_potentials                                1
-    build_central_heating_temperature_profiles              1
-    build_clustered_population_layouts                      1
-    build_cop_profiles                                      1
-    build_daily_heat_demand                                 1
-    build_direct_heat_source_utilisation_profiles           1
-    build_district_heat_share                               1
-    build_electricity_demand                                1
-    build_electricity_demand_base                           1
-    build_energy_totals                                     1
-    build_gas_input_locations                               1
-    build_gas_network                                       1
-    build_heat_totals                                       1
-    build_hourly_heat_demand                                1
-    build_industrial_distribution_key                       1
-    build_industrial_energy_demand_per_country_today        1
-    build_industrial_energy_demand_per_node                 1
-    build_industrial_energy_demand_per_node_today           1
-    build_industrial_production_per_country                 1
-    build_industrial_production_per_country_tomorrow        1
-    build_industrial_production_per_node                    1
-    build_industry_sector_ratios                            1
-    build_industry_sector_ratios_intermediate               1
-    build_osm_boundaries                                    4
-    build_population_layouts                                1
-    build_population_weighted_energy_totals                 2
-    build_powerplants                                       1
-    build_renewable_profiles                                6
-    build_salt_cavern_potentials                            1
-    build_shapes                                            1
-    build_ship_raster                                       1
-    build_shipping_demand                                   1
-    build_temperature_profiles                              1
-    build_transmission_projects                             1
-    build_transport_demand                                  1
-    cluster_gas_network                                     1
-    cluster_network                                         1
-    determine_availability_matrix                           6
-    make_summary                                            1
-    plot_gas_network                                        1
-    plot_hydrogen_network                                   1
-    plot_power_network                                      1
-    plot_power_network_clustered                            1
-    plot_summary                                            1
-    prepare_network                                         1
-    prepare_sector_network                                  1
-    retrieve_cost_data                                      1
-    retrieve_databundle                                     1
-    retrieve_eez                                            1
-    retrieve_electricity_demand                             1
-    retrieve_eurostat_data                                  1
-    retrieve_eurostat_household_data                        1
-    retrieve_gas_infrastructure_data                        1
-    retrieve_gem_europe_gas_tracker                         1
-    retrieve_gem_steel_plant_tracker                        1
-    retrieve_hotmaps_industrial_sites                       1
-    retrieve_jrc_ardeco                                     1
-    retrieve_jrc_enspreso_biomass                           1
-    retrieve_jrc_idees                                      1
-    retrieve_nuts_2013_shapes                               1
-    retrieve_nuts_2021_shapes                               1
-    retrieve_osm_boundaries                                 4
-    retrieve_osm_prebuilt                                   1
-    retrieve_ship_raster                                    1
-    retrieve_synthetic_electricity_demand                   1
-    retrieve_usgs_ammonia_production                        1
-    retrieve_worldbank_urban_population                     1
-    simplify_network                                        1
-    solve_sector_network                                    1
-    time_aggregation                                        1
-    total                                                  92
-
-This covers the retrieval of additional raw data from online resources and
-preprocessing data about the transport, industry, and heating sectors as well as
-additional rules about geological storage and sequestration potentials, gas
-infrastructure, and biomass potentials. The collection rule ``all`` will also
-generate summary CSV files and plots after the network has been solved
-successfully.
-
-
-
-.. graphviz::
-    :class: full-width
-    :align: center
-
-    digraph snakemake_dag {
-        graph[bgcolor=white, margin=0];
-        node[shape=box, style=rounded, fontname=sans,                 fontsize=10, penwidth=2];
-        edge[penwidth=2, color=grey];
-            0[label = "all", color = "0.25 0.6 0.85", style="rounded"];
-            1[label = "plot_summary", color = "0.29 0.6 0.85", style="rounded"];
-            2[label = "make_summary", color = "0.30 0.6 0.85", style="rounded"];
-            3[label = "solve_sector_network", color = "0.34 0.6 0.85", style="rounded"];
-            4[label = "prepare_sector_network", color = "0.32 0.6 0.85", style="rounded"];
-            5[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            6[label = "determine_availability_matrix\ntechnology: offwind-ac", color = "0.09 0.6 0.85", style="rounded"];
-            7[label = "retrieve_databundle", color = "0.45 0.6 0.85", style="rounded"];
-            8[label = "build_ship_raster", color = "0.11 0.6 0.85", style="rounded"];
-            9[label = "retrieve_ship_raster", color = "0.28 0.6 0.85", style="rounded"];
-            10[label = "retrieve_cutout\ncutout: be-03-2013-era5", color = "0.65 0.6 0.85", style="rounded"];
-            11[label = "build_shapes", color = "0.31 0.6 0.85", style="rounded"];
-            12[label = "retrieve_eez", color = "0.02 0.6 0.85", style="rounded"];
-            13[label = "retrieve_nuts_2021_shapes", color = "0.38 0.6 0.85", style="rounded"];
-            14[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            15[label = "retrieve_osm_boundaries\ncountry: BA", color = "0.35 0.6 0.85", style="rounded"];
-            16[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            17[label = "retrieve_osm_boundaries\ncountry: MD", color = "0.35 0.6 0.85", style="rounded"];
-            18[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            19[label = "retrieve_osm_boundaries\ncountry: UA", color = "0.35 0.6 0.85", style="rounded"];
-            20[label = "build_osm_boundaries", color = "0.08 0.6 0.85", style="rounded"];
-            21[label = "retrieve_osm_boundaries\ncountry: XK", color = "0.35 0.6 0.85", style="rounded"];
-            22[label = "retrieve_jrc_ardeco", color = "0.22 0.6 0.85", style="rounded"];
-            23[label = "cluster_network\nclusters: 5", color = "0.39 0.6 0.85", style="rounded"];
-            24[label = "simplify_network", color = "0.13 0.6 0.85", style="rounded"];
-            25[label = "add_transmission_projects_and_dlr", color = "0.44 0.6 0.85", style="rounded"];
-            26[label = "base_network", color = "0.62 0.6 0.85", style="rounded"];
-            27[label = "retrieve_osm_prebuilt", color = "0.52 0.6 0.85", style="rounded"];
-            28[label = "build_transmission_projects", color = "0.32 0.6 0.85", style="rounded"];
-            29[label = "build_electricity_demand_base", color = "0.47 0.6 0.85", style="rounded"];
-            30[label = "build_electricity_demand", color = "0.34 0.6 0.85", style="rounded"];
-            31[label = "retrieve_electricity_demand", color = "0.61 0.6 0.85", style="rounded"];
-            32[label = "retrieve_synthetic_electricity_demand", color = "0.56 0.6 0.85", style="rounded"];
-            33[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            34[label = "determine_availability_matrix\ntechnology: offwind-dc", color = "0.09 0.6 0.85", style="rounded"];
-            35[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            36[label = "determine_availability_matrix\ntechnology: offwind-float", color = "0.09 0.6 0.85", style="rounded"];
-            37[label = "cluster_gas_network", color = "0.03 0.6 0.85", style="rounded"];
-            38[label = "build_gas_network", color = "0.50 0.6 0.85", style="rounded"];
-            39[label = "retrieve_gas_infrastructure_data", color = "0.49 0.6 0.85", style="rounded"];
-            40[label = "build_gas_input_locations", color = "0.23 0.6 0.85", style="rounded"];
-            41[label = "retrieve_gem_europe_gas_tracker", color = "0.33 0.6 0.85", style="rounded"];
-            42[label = "time_aggregation\nsector_opts: ", color = "0.06 0.6 0.85", style="rounded"];
-            43[label = "prepare_network\nopts: ", color = "0.00 0.6 0.85", style="rounded"];
-            44[label = "add_electricity", color = "0.15 0.6 0.85", style="rounded"];
-            45[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            46[label = "determine_availability_matrix\ntechnology: solar", color = "0.09 0.6 0.85", style="rounded"];
-            47[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            48[label = "determine_availability_matrix\ntechnology: solar-hsat", color = "0.09 0.6 0.85", style="rounded"];
-            49[label = "build_renewable_profiles", color = "0.43 0.6 0.85", style="rounded"];
-            50[label = "determine_availability_matrix\ntechnology: onwind", color = "0.09 0.6 0.85", style="rounded"];
-            51[label = "retrieve_cost_data\nyear: 2040", color = "0.10 0.6 0.85", style="rounded"];
-            52[label = "build_powerplants", color = "0.42 0.6 0.85", style="rounded"];
-            53[label = "build_hourly_heat_demand", color = "0.41 0.6 0.85", style="rounded"];
-            54[label = "build_daily_heat_demand", color = "0.66 0.6 0.85", style="rounded"];
-            55[label = "build_population_layouts", color = "0.16 0.6 0.85", style="rounded"];
-            56[label = "retrieve_worldbank_urban_population", color = "0.12 0.6 0.85", style="rounded"];
-            57[label = "retrieve_eurostat_data", color = "0.38 0.6 0.85", style="rounded"];
-            58[label = "build_population_weighted_energy_totals\nkind: energy", color = "0.37 0.6 0.85", style="rounded"];
-            59[label = "build_energy_totals", color = "0.43 0.6 0.85", style="rounded"];
-            60[label = "retrieve_jrc_idees", color = "0.36 0.6 0.85", style="rounded"];
-            61[label = "retrieve_eurostat_household_data", color = "0.46 0.6 0.85", style="rounded"];
-            62[label = "build_clustered_population_layouts", color = "0.05 0.6 0.85", style="rounded"];
-            63[label = "build_population_weighted_energy_totals\nkind: heat", color = "0.37 0.6 0.85", style="rounded"];
-            64[label = "build_heat_totals", color = "0.04 0.6 0.85", style="rounded"];
-            65[label = "build_shipping_demand", color = "0.16 0.6 0.85", style="rounded"];
-            66[label = "build_transport_demand", color = "0.03 0.6 0.85", style="rounded"];
-            67[label = "build_temperature_profiles", color = "0.10 0.6 0.85", style="rounded"];
-            68[label = "build_biomass_potentials\nplanning_horizons: 2030", color = "0.20 0.6 0.85", style="rounded"];
-            69[label = "retrieve_jrc_enspreso_biomass", color = "0.49 0.6 0.85", style="rounded"];
-            70[label = "retrieve_nuts_2013_shapes", color = "0.57 0.6 0.85", style="rounded"];
-            71[label = "build_salt_cavern_potentials", color = "0.64 0.6 0.85", style="rounded"];
-            72[label = "build_industrial_energy_demand_per_node", color = "0.26 0.6 0.85", style="rounded"];
-            73[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2030", color = "0.24 0.6 0.85", style="rounded"];
-            74[label = "build_industry_sector_ratios", color = "0.27 0.6 0.85", style="rounded"];
-            75[label = "build_ammonia_production", color = "0.54 0.6 0.85", style="rounded"];
-            76[label = "retrieve_usgs_ammonia_production", color = "0.53 0.6 0.85", style="rounded"];
-            77[label = "build_industrial_energy_demand_per_country_today", color = "0.17 0.6 0.85", style="rounded"];
-            78[label = "build_industrial_production_per_country", color = "0.26 0.6 0.85", style="rounded"];
-            79[label = "build_industrial_production_per_node", color = "0.58 0.6 0.85", style="rounded"];
-            80[label = "build_industrial_distribution_key", color = "0.11 0.6 0.85", style="rounded"];
-            81[label = "retrieve_hotmaps_industrial_sites", color = "0.21 0.6 0.85", style="rounded"];
-            82[label = "retrieve_gem_steel_plant_tracker", color = "0.12 0.6 0.85", style="rounded"];
-            83[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2030", color = "0.54 0.6 0.85", style="rounded"];
-            84[label = "build_industrial_energy_demand_per_node_today", color = "0.55 0.6 0.85", style="rounded"];
-            85[label = "build_district_heat_share\nplanning_horizons: 2030", color = "0.31 0.6 0.85", style="rounded"];
-            86[label = "build_cop_profiles", color = "0.19 0.6 0.85", style="rounded"];
-            87[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2030", color = "0.17 0.6 0.85", style="rounded"];
-            88[label = "build_direct_heat_source_utilisation_profiles", color = "0.41 0.6 0.85", style="rounded"];
-            89[label = "plot_power_network_clustered", color = "0.58 0.6 0.85", style="rounded"];
-            90[label = "plot_power_network", color = "0.13 0.6 0.85", style="rounded"];
-            91[label = "plot_hydrogen_network", color = "0.24 0.6 0.85", style="rounded"];
-            92[label = "plot_gas_network", color = "0.04 0.6 0.85", style="rounded"];
-            1 -> 0
-            2 -> 1
-            57 -> 1
-            7 -> 1
-            3 -> 2
-            51 -> 2
-            89 -> 2
-            90 -> 2
-            91 -> 2
-            92 -> 2
-            4 -> 3
-            5 -> 4
-            33 -> 4
-            35 -> 4
-            37 -> 4
-            40 -> 4
-            42 -> 4
-            43 -> 4
-            57 -> 4
-            58 -> 4
-            63 -> 4
-            65 -> 4
-            66 -> 4
-            59 -> 4
-            7 -> 4
-            68 -> 4
-            51 -> 4
-            71 -> 4
-            24 -> 4
-            23 -> 4
-            62 -> 4
-            72 -> 4
-            53 -> 4
-            79 -> 4
-            85 -> 4
-            67 -> 4
-            86 -> 4
-            88 -> 4
-            6 -> 5
-            11 -> 5
-            23 -> 5
-            10 -> 5
-            7 -> 6
-            8 -> 6
-            11 -> 6
-            23 -> 6
-            10 -> 6
-            9 -> 8
-            10 -> 8
-            12 -> 11
-            13 -> 11
-            14 -> 11
-            16 -> 11
-            18 -> 11
-            20 -> 11
-            22 -> 11
-            7 -> 11
-            15 -> 14
-            12 -> 14
-            17 -> 16
-            12 -> 16
-            19 -> 18
-            12 -> 18
-            21 -> 20
-            12 -> 20
-            24 -> 23
-            29 -> 23
-            25 -> 24
-            26 -> 24
-            26 -> 25
-            28 -> 25
-            27 -> 26
-            11 -> 26
-            26 -> 28
-            11 -> 28
-            24 -> 29
-            11 -> 29
-            30 -> 29
-            31 -> 30
-            32 -> 30
-            34 -> 33
-            11 -> 33
-            23 -> 33
-            10 -> 33
-            7 -> 34
-            8 -> 34
-            11 -> 34
-            23 -> 34
-            10 -> 34
-            36 -> 35
-            11 -> 35
-            23 -> 35
-            10 -> 35
-            7 -> 36
-            8 -> 36
-            11 -> 36
-            23 -> 36
-            10 -> 36
-            38 -> 37
-            23 -> 37
-            39 -> 38
-            41 -> 40
-            39 -> 40
-            23 -> 40
-            43 -> 42
-            53 -> 42
-            44 -> 43
-            51 -> 43
-            45 -> 44
-            47 -> 44
-            49 -> 44
-            5 -> 44
-            33 -> 44
-            35 -> 44
-            23 -> 44
-            51 -> 44
-            52 -> 44
-            29 -> 44
-            46 -> 45
-            11 -> 45
-            23 -> 45
-            10 -> 45
-            7 -> 46
-            11 -> 46
-            23 -> 46
-            10 -> 46
-            48 -> 47
-            11 -> 47
-            23 -> 47
-            10 -> 47
-            7 -> 48
-            11 -> 48
-            23 -> 48
-            10 -> 48
-            50 -> 49
-            11 -> 49
-            23 -> 49
-            10 -> 49
-            7 -> 50
-            11 -> 50
-            23 -> 50
-            10 -> 50
-            23 -> 52
-            54 -> 53
-            55 -> 54
-            23 -> 54
-            10 -> 54
-            11 -> 55
-            56 -> 55
-            10 -> 55
-            59 -> 58
-            62 -> 58
-            11 -> 59
-            7 -> 59
-            60 -> 59
-            57 -> 59
-            61 -> 59
-            55 -> 62
-            23 -> 62
-            10 -> 62
-            64 -> 63
-            62 -> 63
-            59 -> 64
-            11 -> 65
-            23 -> 65
-            59 -> 65
-            62 -> 66
-            58 -> 66
-            59 -> 66
-            7 -> 66
-            67 -> 66
-            55 -> 67
-            23 -> 67
-            10 -> 67
-            69 -> 68
-            57 -> 68
-            70 -> 68
-            23 -> 68
-            7 -> 68
-            11 -> 68
-            7 -> 71
-            23 -> 71
-            73 -> 72
-            79 -> 72
-            84 -> 72
-            74 -> 73
-            77 -> 73
-            78 -> 73
-            75 -> 74
-            60 -> 74
-            76 -> 75
-            59 -> 77
-            60 -> 77
-            78 -> 77
-            75 -> 78
-            60 -> 78
-            57 -> 78
-            80 -> 79
-            83 -> 79
-            23 -> 80
-            62 -> 80
-            81 -> 80
-            82 -> 80
-            78 -> 83
-            80 -> 84
-            77 -> 84
-            59 -> 85
-            62 -> 85
-            87 -> 86
-            67 -> 86
-            23 -> 86
-            67 -> 87
-            23 -> 87
-            87 -> 88
-            23 -> 89
-            3 -> 90
-            23 -> 90
-            3 -> 91
-            23 -> 91
-            3 -> 92
-            23 -> 92
-    }
-
-|
-
-Myopic Foresight Scenarios
-===================================
-
-Configuration
--------------
-
-To activate the myopic foresight mode, set
-
-.. code:: yaml
-
-    foresight: myopic
-
-Scenarios can be defined like for electricity-only studies, but with additional
-wildcard options. For the myopic foresight mode, the ``{planning_horizons}`` wildcard
-defines the sequence of investment horizons.
-
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at: scenario:
-   :end-before: countries:
-
-For allowed wildcard values, refer to :ref:`wildcards`.
-
-In the myopic foresight mode, you can tweak for instance exogenously given transition paths, like the one for
-the share of primary steel production we change below:
-
-.. literalinclude:: ../config/test/config.myopic.yaml
-   :language: yaml
-   :start-at: industry:
-   :end-before: solving:
-
-Documentation for all options will be added successively to :ref:`config`.
-
-Execution
----------
-
-To run a myopic foresight scenario with the specifications above, run
-
-.. code:: console
-
-    $ snakemake -call all --configfile config/test/config.myopic.yaml
-
-which will result in additional jobs ``snakemake`` wants to run, which
-translates to the following workflow diagram which nicely outlines how the
-sequential pathway optimisation with myopic foresight is implemented in the
-workflow:
-
-.. graphviz::
-    :class: full-width
-    :align: center
-
-    digraph snakemake_dag {
-        graph[bgcolor=white, margin=0];
-        node[shape=box, style=rounded, fontname=sans,                 fontsize=10, penwidth=2];
-        edge[penwidth=2, color=grey];
-            0[label = "all", color = "0.50 0.6 0.85", style="rounded"];
-            1[label = "plot_summary", color = "0.26 0.6 0.85", style="rounded"];
-            2[label = "make_summary", color = "0.51 0.6 0.85", style="rounded"];
-            3[label = "solve_sector_network_myopic", color = "0.09 0.6 0.85", style="rounded"];
-            4[label = "add_existing_baseyear", color = "0.26 0.6 0.85", style="rounded"];
-            5[label = "prepare_sector_network", color = "0.25 0.6 0.85", style="rounded"];
-            6[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            7[label = "determine_availability_matrix\ntechnology: offwind-ac", color = "0.58 0.6 0.85", style="rounded"];
-            8[label = "retrieve_databundle", color = "0.28 0.6 0.85", style="rounded"];
-            9[label = "build_ship_raster", color = "0.07 0.6 0.85", style="rounded"];
-            10[label = "retrieve_ship_raster", color = "0.37 0.6 0.85", style="rounded"];
-            11[label = "retrieve_cutout\ncutout: be-03-2013-era5", color = "0.55 0.6 0.85", style="rounded,dashed"];
-            12[label = "build_shapes", color = "0.00 0.6 0.85", style="rounded"];
-            13[label = "retrieve_eez", color = "0.66 0.6 0.85", style="rounded"];
-            14[label = "retrieve_nuts_2021_shapes", color = "0.60 0.6 0.85", style="rounded"];
-            15[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            16[label = "retrieve_osm_boundaries\ncountry: BA", color = "0.23 0.6 0.85", style="rounded"];
-            17[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            18[label = "retrieve_osm_boundaries\ncountry: MD", color = "0.23 0.6 0.85", style="rounded"];
-            19[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            20[label = "retrieve_osm_boundaries\ncountry: UA", color = "0.23 0.6 0.85", style="rounded"];
-            21[label = "build_osm_boundaries", color = "0.21 0.6 0.85", style="rounded"];
-            22[label = "retrieve_osm_boundaries\ncountry: XK", color = "0.23 0.6 0.85", style="rounded"];
-            23[label = "retrieve_jrc_ardeco", color = "0.29 0.6 0.85", style="rounded"];
-            24[label = "cluster_network\nclusters: 5", color = "0.30 0.6 0.85", style="rounded"];
-            25[label = "simplify_network", color = "0.02 0.6 0.85", style="rounded"];
-            26[label = "add_transmission_projects_and_dlr", color = "0.60 0.6 0.85", style="rounded"];
-            27[label = "base_network", color = "0.30 0.6 0.85", style="rounded"];
-            28[label = "retrieve_osm_prebuilt", color = "0.43 0.6 0.85", style="rounded"];
-            29[label = "build_transmission_projects", color = "0.51 0.6 0.85", style="rounded"];
-            30[label = "build_electricity_demand_base", color = "0.64 0.6 0.85", style="rounded"];
-            31[label = "build_electricity_demand", color = "0.16 0.6 0.85", style="rounded"];
-            32[label = "retrieve_electricity_demand", color = "0.33 0.6 0.85", style="rounded"];
-            33[label = "retrieve_synthetic_electricity_demand", color = "0.56 0.6 0.85", style="rounded"];
-            34[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            35[label = "determine_availability_matrix\ntechnology: offwind-dc", color = "0.58 0.6 0.85", style="rounded"];
-            36[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            37[label = "determine_availability_matrix\ntechnology: offwind-float", color = "0.58 0.6 0.85", style="rounded"];
-            38[label = "cluster_gas_network", color = "0.13 0.6 0.85", style="rounded"];
-            39[label = "build_gas_network", color = "0.22 0.6 0.85", style="rounded"];
-            40[label = "retrieve_gas_infrastructure_data", color = "0.33 0.6 0.85", style="rounded"];
-            41[label = "build_gas_input_locations", color = "0.12 0.6 0.85", style="rounded"];
-            42[label = "retrieve_gem_europe_gas_tracker", color = "0.17 0.6 0.85", style="rounded"];
-            43[label = "time_aggregation\nsector_opts: ", color = "0.40 0.6 0.85", style="rounded"];
-            44[label = "prepare_network\nopts: ", color = "0.09 0.6 0.85", style="rounded"];
-            45[label = "add_electricity", color = "0.03 0.6 0.85", style="rounded"];
-            46[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            47[label = "determine_availability_matrix\ntechnology: solar", color = "0.58 0.6 0.85", style="rounded"];
-            48[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            49[label = "determine_availability_matrix\ntechnology: solar-hsat", color = "0.58 0.6 0.85", style="rounded"];
-            50[label = "build_renewable_profiles", color = "0.53 0.6 0.85", style="rounded"];
-            51[label = "determine_availability_matrix\ntechnology: onwind", color = "0.58 0.6 0.85", style="rounded"];
-            52[label = "retrieve_cost_data\nyear: 2040", color = "0.08 0.6 0.85", style="rounded"];
-            53[label = "build_powerplants", color = "0.63 0.6 0.85", style="rounded"];
-            54[label = "build_hourly_heat_demand", color = "0.27 0.6 0.85", style="rounded"];
-            55[label = "build_daily_heat_demand", color = "0.02 0.6 0.85", style="rounded"];
-            56[label = "build_population_layouts", color = "0.47 0.6 0.85", style="rounded"];
-            57[label = "retrieve_worldbank_urban_population", color = "0.36 0.6 0.85", style="rounded"];
-            58[label = "retrieve_eurostat_data", color = "0.39 0.6 0.85", style="rounded"];
-            59[label = "build_population_weighted_energy_totals\nkind: energy", color = "0.55 0.6 0.85", style="rounded"];
-            60[label = "build_energy_totals", color = "0.57 0.6 0.85", style="rounded"];
-            61[label = "retrieve_jrc_idees", color = "0.01 0.6 0.85", style="rounded"];
-            62[label = "retrieve_eurostat_household_data", color = "0.28 0.6 0.85", style="rounded"];
-            63[label = "build_clustered_population_layouts", color = "0.61 0.6 0.85", style="rounded"];
-            64[label = "build_population_weighted_energy_totals\nkind: heat", color = "0.55 0.6 0.85", style="rounded"];
-            65[label = "build_heat_totals", color = "0.44 0.6 0.85", style="rounded"];
-            66[label = "build_shipping_demand", color = "0.14 0.6 0.85", style="rounded"];
-            67[label = "build_transport_demand", color = "0.34 0.6 0.85", style="rounded"];
-            68[label = "build_temperature_profiles", color = "0.31 0.6 0.85", style="rounded"];
-            69[label = "build_biomass_potentials\nplanning_horizons: 2030", color = "0.15 0.6 0.85", style="rounded"];
-            70[label = "retrieve_jrc_enspreso_biomass", color = "0.52 0.6 0.85", style="rounded"];
-            71[label = "retrieve_nuts_2013_shapes", color = "0.24 0.6 0.85", style="rounded"];
-            72[label = "retrieve_cost_data\nyear: 2030", color = "0.08 0.6 0.85", style="rounded"];
-            73[label = "build_salt_cavern_potentials", color = "0.05 0.6 0.85", style="rounded"];
-            74[label = "build_industrial_energy_demand_per_node", color = "0.38 0.6 0.85", style="rounded"];
-            75[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2030", color = "0.49 0.6 0.85", style="rounded"];
-            76[label = "build_industry_sector_ratios", color = "0.39 0.6 0.85", style="rounded"];
-            77[label = "build_ammonia_production", color = "0.11 0.6 0.85", style="rounded"];
-            78[label = "retrieve_usgs_ammonia_production", color = "0.36 0.6 0.85", style="rounded"];
-            79[label = "build_industrial_energy_demand_per_country_today", color = "0.41 0.6 0.85", style="rounded"];
-            80[label = "build_industrial_production_per_country", color = "0.08 0.6 0.85", style="rounded"];
-            81[label = "build_industrial_production_per_node", color = "0.12 0.6 0.85", style="rounded"];
-            82[label = "build_industrial_distribution_key", color = "0.34 0.6 0.85", style="rounded"];
-            83[label = "retrieve_hotmaps_industrial_sites", color = "0.24 0.6 0.85", style="rounded"];
-            84[label = "retrieve_gem_steel_plant_tracker", color = "0.10 0.6 0.85", style="rounded"];
-            85[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2030", color = "0.07 0.6 0.85", style="rounded"];
-            86[label = "build_industrial_energy_demand_per_node_today", color = "0.37 0.6 0.85", style="rounded"];
-            87[label = "build_district_heat_share\nplanning_horizons: 2030", color = "0.20 0.6 0.85", style="rounded"];
-            88[label = "build_cop_profiles", color = "0.18 0.6 0.85", style="rounded"];
-            89[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2030", color = "0.06 0.6 0.85", style="rounded"];
-            90[label = "build_direct_heat_source_utilisation_profiles", color = "0.52 0.6 0.85", style="rounded"];
-            91[label = "build_existing_heating_distribution", color = "0.46 0.6 0.85", style="rounded"];
-            92[label = "solve_sector_network_myopic", color = "0.09 0.6 0.85", style="rounded"];
-            93[label = "add_brownfield", color = "0.54 0.6 0.85", style="rounded"];
-            94[label = "prepare_sector_network", color = "0.25 0.6 0.85", style="rounded"];
-            95[label = "build_biomass_potentials\nplanning_horizons: 2040", color = "0.15 0.6 0.85", style="rounded"];
-            96[label = "build_industrial_energy_demand_per_node", color = "0.38 0.6 0.85", style="rounded"];
-            97[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2040", color = "0.49 0.6 0.85", style="rounded"];
-            98[label = "build_industrial_production_per_node", color = "0.12 0.6 0.85", style="rounded"];
-            99[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2040", color = "0.07 0.6 0.85", style="rounded"];
-            100[label = "build_district_heat_share\nplanning_horizons: 2040", color = "0.20 0.6 0.85", style="rounded"];
-            101[label = "build_cop_profiles", color = "0.18 0.6 0.85", style="rounded"];
-            102[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2040", color = "0.06 0.6 0.85", style="rounded"];
-            103[label = "build_direct_heat_source_utilisation_profiles", color = "0.52 0.6 0.85", style="rounded"];
-            104[label = "solve_sector_network_myopic", color = "0.09 0.6 0.85", style="rounded"];
-            105[label = "add_brownfield", color = "0.54 0.6 0.85", style="rounded"];
-            106[label = "prepare_sector_network", color = "0.25 0.6 0.85", style="rounded"];
-            107[label = "build_biomass_potentials\nplanning_horizons: 2050", color = "0.15 0.6 0.85", style="rounded"];
-            108[label = "retrieve_cost_data\nyear: 2050", color = "0.08 0.6 0.85", style="rounded"];
-            109[label = "build_industrial_energy_demand_per_node", color = "0.38 0.6 0.85", style="rounded"];
-            110[label = "build_industry_sector_ratios_intermediate\nplanning_horizons: 2050", color = "0.49 0.6 0.85", style="rounded"];
-            111[label = "build_industrial_production_per_node", color = "0.12 0.6 0.85", style="rounded"];
-            112[label = "build_industrial_production_per_country_tomorrow\nplanning_horizons: 2050", color = "0.07 0.6 0.85", style="rounded"];
-            113[label = "build_district_heat_share\nplanning_horizons: 2050", color = "0.20 0.6 0.85", style="rounded"];
-            114[label = "build_cop_profiles", color = "0.18 0.6 0.85", style="rounded"];
-            115[label = "build_central_heating_temperature_profiles\nplanning_horizons: 2050", color = "0.06 0.6 0.85", style="rounded"];
-            116[label = "build_direct_heat_source_utilisation_profiles", color = "0.52 0.6 0.85", style="rounded"];
-            117[label = "plot_power_network_clustered", color = "0.40 0.6 0.85", style="rounded"];
-            118[label = "plot_power_network", color = "0.53 0.6 0.85", style="rounded"];
-            119[label = "plot_power_network", color = "0.53 0.6 0.85", style="rounded"];
-            120[label = "plot_power_network", color = "0.53 0.6 0.85", style="rounded"];
-            121[label = "plot_hydrogen_network", color = "0.32 0.6 0.85", style="rounded"];
-            122[label = "plot_hydrogen_network", color = "0.32 0.6 0.85", style="rounded"];
-            123[label = "plot_hydrogen_network", color = "0.32 0.6 0.85", style="rounded"];
-            124[label = "plot_gas_network", color = "0.29 0.6 0.85", style="rounded"];
-            125[label = "plot_gas_network", color = "0.29 0.6 0.85", style="rounded"];
-            126[label = "plot_gas_network", color = "0.29 0.6 0.85", style="rounded"];
-            1 -> 0
-            2 -> 1
-            58 -> 1
-            8 -> 1
-            3 -> 2
-            92 -> 2
-            104 -> 2
-            72 -> 2
-            117 -> 2
-            118 -> 2
-            119 -> 2
-            120 -> 2
-            121 -> 2
-            122 -> 2
-            123 -> 2
-            124 -> 2
-            125 -> 2
-            126 -> 2
-            4 -> 3
-            72 -> 3
-            5 -> 4
-            53 -> 4
-            25 -> 4
-            24 -> 4
-            63 -> 4
-            72 -> 4
-            88 -> 4
-            91 -> 4
-            60 -> 4
-            6 -> 5
-            34 -> 5
-            36 -> 5
-            38 -> 5
-            41 -> 5
-            43 -> 5
-            44 -> 5
-            58 -> 5
-            59 -> 5
-            64 -> 5
-            66 -> 5
-            67 -> 5
-            60 -> 5
-            8 -> 5
-            69 -> 5
-            72 -> 5
-            73 -> 5
-            25 -> 5
-            24 -> 5
-            63 -> 5
-            74 -> 5
-            54 -> 5
-            81 -> 5
-            87 -> 5
-            68 -> 5
-            88 -> 5
-            90 -> 5
-            7 -> 6
-            12 -> 6
-            24 -> 6
-            11 -> 6
-            8 -> 7
-            9 -> 7
-            12 -> 7
-            24 -> 7
-            11 -> 7
-            10 -> 9
-            11 -> 9
-            13 -> 12
-            14 -> 12
-            15 -> 12
-            17 -> 12
-            19 -> 12
-            21 -> 12
-            23 -> 12
-            8 -> 12
-            16 -> 15
-            13 -> 15
-            18 -> 17
-            13 -> 17
-            20 -> 19
-            13 -> 19
-            22 -> 21
-            13 -> 21
-            25 -> 24
-            30 -> 24
-            26 -> 25
-            27 -> 25
-            27 -> 26
-            29 -> 26
-            28 -> 27
-            12 -> 27
-            27 -> 29
-            12 -> 29
-            25 -> 30
-            12 -> 30
-            31 -> 30
-            32 -> 31
-            33 -> 31
-            35 -> 34
-            12 -> 34
-            24 -> 34
-            11 -> 34
-            8 -> 35
-            9 -> 35
-            12 -> 35
-            24 -> 35
-            11 -> 35
-            37 -> 36
-            12 -> 36
-            24 -> 36
-            11 -> 36
-            8 -> 37
-            9 -> 37
-            12 -> 37
-            24 -> 37
-            11 -> 37
-            39 -> 38
-            24 -> 38
-            40 -> 39
-            42 -> 41
-            40 -> 41
-            24 -> 41
-            44 -> 43
-            54 -> 43
-            45 -> 44
-            52 -> 44
-            46 -> 45
-            48 -> 45
-            50 -> 45
-            6 -> 45
-            34 -> 45
-            36 -> 45
-            24 -> 45
-            52 -> 45
-            53 -> 45
-            30 -> 45
-            47 -> 46
-            12 -> 46
-            24 -> 46
-            11 -> 46
-            8 -> 47
-            12 -> 47
-            24 -> 47
-            11 -> 47
-            49 -> 48
-            12 -> 48
-            24 -> 48
-            11 -> 48
-            8 -> 49
-            12 -> 49
-            24 -> 49
-            11 -> 49
-            51 -> 50
-            12 -> 50
-            24 -> 50
-            11 -> 50
-            8 -> 51
-            12 -> 51
-            24 -> 51
-            11 -> 51
-            24 -> 53
-            55 -> 54
-            56 -> 55
-            24 -> 55
-            11 -> 55
-            12 -> 56
-            57 -> 56
-            11 -> 56
-            60 -> 59
-            63 -> 59
-            12 -> 60
-            8 -> 60
-            61 -> 60
-            58 -> 60
-            62 -> 60
-            56 -> 63
-            24 -> 63
-            11 -> 63
-            65 -> 64
-            63 -> 64
-            60 -> 65
-            12 -> 66
-            24 -> 66
-            60 -> 66
-            63 -> 67
-            59 -> 67
-            60 -> 67
-            8 -> 67
-            68 -> 67
-            56 -> 68
-            24 -> 68
-            11 -> 68
-            70 -> 69
-            58 -> 69
-            71 -> 69
-            24 -> 69
-            8 -> 69
-            12 -> 69
-            8 -> 73
-            24 -> 73
-            75 -> 74
-            81 -> 74
-            86 -> 74
-            76 -> 75
-            79 -> 75
-            80 -> 75
-            77 -> 76
-            61 -> 76
-            78 -> 77
-            60 -> 79
-            61 -> 79
-            80 -> 79
-            77 -> 80
-            61 -> 80
-            58 -> 80
-            82 -> 81
-            85 -> 81
-            24 -> 82
-            63 -> 82
-            83 -> 82
-            84 -> 82
-            80 -> 85
-            82 -> 86
-            79 -> 86
-            60 -> 87
-            63 -> 87
-            89 -> 88
-            68 -> 88
-            24 -> 88
-            68 -> 89
-            24 -> 89
-            89 -> 90
-            63 -> 91
-            59 -> 91
-            87 -> 91
-            93 -> 92
-            52 -> 92
-            46 -> 93
-            48 -> 93
-            50 -> 93
-            6 -> 93
-            34 -> 93
-            36 -> 93
-            25 -> 93
-            24 -> 93
-            94 -> 93
-            3 -> 93
-            52 -> 93
-            101 -> 93
-            6 -> 94
-            34 -> 94
-            36 -> 94
-            38 -> 94
-            41 -> 94
-            43 -> 94
-            44 -> 94
-            58 -> 94
-            59 -> 94
-            64 -> 94
-            66 -> 94
-            67 -> 94
-            60 -> 94
-            8 -> 94
-            95 -> 94
-            52 -> 94
-            73 -> 94
-            25 -> 94
-            24 -> 94
-            63 -> 94
-            96 -> 94
-            54 -> 94
-            98 -> 94
-            100 -> 94
-            68 -> 94
-            101 -> 94
-            103 -> 94
-            70 -> 95
-            58 -> 95
-            71 -> 95
-            24 -> 95
-            8 -> 95
-            12 -> 95
-            97 -> 96
-            98 -> 96
-            86 -> 96
-            76 -> 97
-            79 -> 97
-            80 -> 97
-            82 -> 98
-            99 -> 98
-            80 -> 99
-            60 -> 100
-            63 -> 100
-            102 -> 101
-            68 -> 101
-            24 -> 101
-            68 -> 102
-            24 -> 102
-            102 -> 103
-            105 -> 104
-            108 -> 104
-            46 -> 105
-            48 -> 105
-            50 -> 105
-            6 -> 105
-            34 -> 105
-            36 -> 105
-            25 -> 105
-            24 -> 105
-            106 -> 105
-            92 -> 105
-            108 -> 105
-            114 -> 105
-            6 -> 106
-            34 -> 106
-            36 -> 106
-            38 -> 106
-            41 -> 106
-            43 -> 106
-            44 -> 106
-            58 -> 106
-            59 -> 106
-            64 -> 106
-            66 -> 106
-            67 -> 106
-            60 -> 106
-            8 -> 106
-            107 -> 106
-            108 -> 106
-            73 -> 106
-            25 -> 106
-            24 -> 106
-            63 -> 106
-            109 -> 106
-            54 -> 106
-            111 -> 106
-            113 -> 106
-            68 -> 106
-            114 -> 106
-            116 -> 106
-            70 -> 107
-            58 -> 107
-            71 -> 107
-            24 -> 107
-            8 -> 107
-            12 -> 107
-            110 -> 109
-            111 -> 109
-            86 -> 109
-            76 -> 110
-            79 -> 110
-            80 -> 110
-            82 -> 111
-            112 -> 111
-            80 -> 112
-            60 -> 113
-            63 -> 113
-            115 -> 114
-            68 -> 114
-            24 -> 114
-            68 -> 115
-            24 -> 115
-            115 -> 116
-            24 -> 117
-            3 -> 118
-            24 -> 118
-            92 -> 119
-            24 -> 119
-            104 -> 120
-            24 -> 120
-            3 -> 121
-            24 -> 121
-            92 -> 122
-            24 -> 122
-            104 -> 123
-            24 -> 123
-            3 -> 124
-            24 -> 124
-            92 -> 125
-            24 -> 125
-            104 -> 126
-            24 -> 126
-    }    
-
-|
-
-
-Scaling-Up
-==========
-
-If you now feel confident and want to tackle runs with larger temporal, technological and
-spatial scope, clean-up the repository and after modifying the ``config/config.yaml`` file
-target the collection rule ``all`` again without providing the test
-configuration file.
-
-.. code:: console
-
-    $ snakemake -call purge
-    $ snakemake -call all
-
-.. note::
-
-    It is good practice to perform a dry-run using the option `-n`, before you
-    commit to a run:
-
-    .. code:: console
-
-        $ snakemake -call all -n
diff --git a/doc/tyndp_2024.md b/doc/tyndp_2024.md
new file mode 100644
index 0000000000..5af39f6046
--- /dev/null
+++ b/doc/tyndp_2024.md
@@ -0,0 +1,127 @@
+<!-- SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# TYNDP 2024 data
+
+The TYNDP 2024 data is downloaded and extracted using the `retrieve_tyndp`, `retrieve_tyndp_pecd`, `retrieve_tyndp_vp_data` and `retrieve_tyndp_cba_projects` rules. Originally published by ENTSO-E and ENTSOG under
+Creative Commons Attribution 4.0 International License (CC-BY 4.0).
+The original data files can be found under <https://2024.entsos-tyndp-scenarios.eu/download/>.
+
+## `CBA Projects`
+
+- **Source:** TYNDP 2024 Project Sheets, <https://tyndp2024.entsoe.eu/projects-map>
+- **Link:** <https://storage.googleapis.com/open-tyndp-data-store/CBA_projects.zip>
+- **Description:** Contains 177 transmission and 33 storage projects, which have been assessed by TYNDP 2024 in its Cost-Benefit Analysis.
+
+## `Demand Profiles`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Demand-Profiles.zip>
+- **Description:** Contains hourly demand profiles for CH4, electricity (market and prosumer),
+  H2 (heat, zone 1 and zone 2), synthetic fuels (e-diesel, e-kerosene, SNG).
+
+## `EV Modelling Inputs`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/EV-Modelling-Inputs.zip>
+- **Description:** Contains hourly availability, min SOC and driving profiles, EV charging stations,
+  and EV technology assumptions.
+
+## `Hybrid Heat Pump Modelling Inputs`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hybrid-Heat-Pump-Modelling-Inputs.zip>
+- **Description:** Contains hourly COP profiles, HP capacity and heat rate for H2 and CH4 hybrid HP.
+
+## `Hydrogen`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydrogen.zip>
+- **Description:** Contains H2 import generator properties, synthetic fuel generator properties, CO2 synthetic fuel ratios, synthetic fuel lines, H2 storage data, and SMR figures.
+
+## `Hydro Inflows`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydro-Inflows.zip>
+- **Description:** Contains hourly hydro inflows for climate years from 1982 to 2017, for all modelled hydro technologies, per node and planning horizon.
+
+## `Investment Datasets`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Investment-Datasets.zip>
+- **Description:** Contains expansion constraints (capacities, capex, opex, trajectories)
+  for grids' and generators' investment candidates.
+
+## `Line data`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Line-data.zip>
+- **Description:** Contains electricity and hydrogen reference grids and e-market prosumer wheeling charge.
+
+## `Market Model Outputs for NT`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** `https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/MMStandardOutputFile_NT{planning_horizons}_Plexos_CY2009_2.5_v40.xlsx.zip`
+- **Description:** Contains market model standard output files for the National Trends (NT) scenario and climate year 2009 (available for both 2030 and 2040 planning horizons).
+
+## `Nodes`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Nodes.zip>
+- **Description:** Contains a list of electricity and hydrogen nodes.
+
+## `Offshore hubs`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Offshore-hubs.zip>
+- **Description:** Contains generators, electrolysers, nodes and grid information used in the
+  modelling of offshore hubs.
+
+## `PECD/PECD_{pecd_version}`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** `https://storage.googleapis.com/open-tyndp-data-store/PECD/PECD_{pecd_version}.zip`
+- **Description:** Contains hourly PECD v3.1 capacity factor time series for Solar PV rooftop,
+  Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.
+
+## `PECD/PECD_{pecd_prebuilt_version}`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** `https://storage.googleapis.com/open-tyndp-data-store/PECD/PECD_{pecd_prebuilt_version}.zip`
+- **Description:** Contains pre-built hourly PECD v3.1 capacity factor time series for climate years 1995, 2008, and 2009, covering Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.
+
+## `PEMMDB2`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PEMMDB2.zip>
+- **Description:** Contains PEMMDB v2.5 capacities, as well as must-run and availability profiles for various PEMMDB technologies (thermal, RES, reserves, DSR, batteries and electrolysers).
+
+## `Supply Tool`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/20240518-Supply-Tool.xlsm.zip>
+- **Description:** Contains the TYNDP 2024 Supply Tool.
+
+## `TYNDP-2024-Scenarios-Package/TYNDP_2024-Scenario-Report-Data-Figures_240522.xlsx`
+
+- **Source:** TYNDP 2024 Scenarios, <https://2024.entsos-tyndp-scenarios.eu/download/>
+- **Link:** <https://2024-data.entsos-tyndp-scenarios.eu/files/reports/TYNDP-2024-Scenarios-Package-20250128.zip>
+- **Description:** Contains the TYNDP Scenarios Report Data Figures data and calculations used to produce the figures in the Scenarios Report.
+
+## `TYNDP-2024-Visualisation-Platform`
+
+- **Source:** TYNDP 2024 Visualisation Platform, <https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/>
+- **Link:** <https://storage.googleapis.com/open-tyndp-data-store/250117-TYNDP-2024-Visualisation-Platform.zip>
+- **Description:** Contains the TYNDP 2024 Visualisation Platform data for both electricity (supply mix, flexibility options, and electricity demand) and hydrogen (supply mix and hydrogen demand).
+
+## `TYNDP Nuclear profiles`
+
+- **Source:** Derived from TYNDP 2024 Market Model Outputs
+- **Link:** <https://storage.googleapis.com/open-tyndp-data-store/nuclear_p_max_pu.zip>
+- **Description:** Contains availability profiles for nuclear power plants, derived from normalized generation time series in TYNDP 2024 Market Model Outputs. Resampled weekly, retaining maximum availability factor per week to account for maintenance schedules and forced outages.
+
+## `cba/a.3_non-co2-emissions.csv`
+
+- **Source:** TYNDP 2024 Methodology: CBA Implementation Guidelines, <https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1>
+- **Link:** <https://storage.googleapis.com/open-tyndp-data-store/cba/a.3_non-co2-emissions.csv>
+- **Description:** Contains a CSV file of the extracted Annex A.3 non-CO2 emissions factors table.
diff --git a/doc/tyndp_2024.rst b/doc/tyndp_2024.rst
deleted file mode 100644
index 0ad3900213..0000000000
--- a/doc/tyndp_2024.rst
+++ /dev/null
@@ -1,130 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-###############
-TYNDP 2024 data
-###############
-
-The TYNDP 2024 data is downloaded and extracted using the ``retrieve_tyndp``, ``retrieve_tyndp_pecd``, ``retrieve_tyndp_vp_data`` and ``retrieve_tyndp_cba_projects`` rules. Originally published by ENTSO-E and ENTSOG under
-Creative Commons Attribution 4.0 International License (CC-BY 4.0).
-The original data files can be found under https://2024.entsos-tyndp-scenarios.eu/download/.
-
-``CBA Projects``
-
-- **Source:** TYNDP 2024 Project Sheets, https://tyndp2024.entsoe.eu/projects-map
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/CBA_projects.zip
-- **Description:** Contains 177 transmission and 33 storage projects, which have been assessed by TYNDP 2024 in its Cost-Benefit Analysis.
-
-``Demand Profiles``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Demand-Profiles.zip
-- **Description:** Contains hourly demand profiles for CH4, electricity (market and prosumer),
-  H2 (heat, zone 1 and zone 2), synthetic fuels (e-diesel, e-kerosene, SNG).
-
-``EV Modelling Inputs``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/EV-Modelling-Inputs.zip
-- **Description:** Contains hourly availability, min SOC and driving profiles, EV charging stations,
-  and EV technology assumptions.
-
-``Hybrid Heat Pump Modelling Inputs``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hybrid-Heat-Pump-Modelling-Inputs.zip
-- **Description:** Contains hourly COP profiles, HP capacity and heat rate for H2 and CH4 hybrid HP.
-
-``Hydrogen``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydrogen.zip
-- **Description:** Contains H2 import generator properties, synthetic fuel generator properties, CO2 synthetic fuel ratios, synthetic fuel lines, H2 storage data, and SMR figures.
-
-``Hydro Inflows``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Hydro-Inflows.zip
-- **Description:** Contains hourly hydro inflows for climate years from 1982 to 2017, for all modelled hydro technologies, per node and planning horizon.
-
-``Investment Datasets``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Investment-Datasets.zip
-- **Description:** Contains expansion constraints (capacities, capex, opex, trajectories)
-  for grids' and generators' investment candidates.
-
-``Line data``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Line-data.zip
-- **Description:** Contains electricity and hydrogen reference grids and e-market prosumer wheeling charge.
-
-``Market Model Outputs for NT``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/MMStandardOutputFile_NT{planning_horizons}_Plexos_CY2009_2.5_v40.xlsx.zip
-- **Description:** Contains market model standard output files for the National Trends (NT) scenario and climate year 2009 (available for both 2030 and 2040 planning horizons).
-
-``Nodes``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Nodes.zip
-- **Description:** Contains a list of electricity and hydrogen nodes.
-
-``Offshore hubs``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Offshore-hubs.zip
-- **Description:** Contains generators, electrolysers, nodes and grid information used in the
-  modelling of offshore hubs.
-
-``PECD/PECD_{pecd_version}``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/PECD/PECD_{pecd_version}.zip
-- **Description:** Contains hourly PECD v3.1 capacity factor time series for Solar PV rooftop,
-  Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.
-
-``PECD/PECD_{pecd_prebuilt_version}``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/PECD/PECD_{pecd_prebuilt_version}.zip
-- **Description:** Contains pre-built hourly PECD v3.1 capacity factor time series for climate years 1995, 2008, and 2009, covering Solar PV rooftop, Solar PV utility, Onshore Wind, Offshore Wind and Solar CSP.
-
-``PEMMDB2``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/PEMMDB2.zip
-- **Description:** Contains PEMMDB v2.5 capacities, as well as must-run and availability profiles for various PEMMDB technologies (thermal, RES, reserves, DSR, batteries and electrolysers).
-
-``Supply Tool``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-outputs/20240518-Supply-Tool.xlsm.zip
-- **Description:** Contains the TYNDP 2024 Supply Tool.
-
-``TYNDP-2024-Scenarios-Package/TYNDP_2024-Scenario-Report-Data-Figures_240522.xlsx``
-
-- **Source:** TYNDP 2024 Scenarios, https://2024.entsos-tyndp-scenarios.eu/download/
-- **Link:** https://2024-data.entsos-tyndp-scenarios.eu/files/reports/TYNDP-2024-Scenarios-Package-20250128.zip
-- **Description:** Contains the TYNDP Scenarios Report Data Figures data and calculations used to produce the figures in the Scenarios Report.
-
-``TYNDP-2024-Visualisation-Platform``
-
-- **Source:** TYNDP 2024 Visualisation Platform, https://2024.entsos-tyndp-scenarios.eu/visualisation-platform/
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/250117-TYNDP-2024-Visualisation-Platform.zip
-- **Description:** Contains the TYNDP 2024 Visualisation Platform data for both electricity (supply mix, flexibility options, and electricity demand) and hydrogen (supply mix and hydrogen demand).
-
-``TYNDP Nuclear profiles``
-
-- **Source:** Derived from TYNDP 2024 Market Model Outputs
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/nuclear_p_max_pu.zip
-- **Description:** Contains availability profiles for nuclear power plants, derived from normalized generation time series in TYNDP 2024 Market Model Outputs. Resampled weekly, retaining maximum availability factor per week to account for maintenance schedules and forced outages.
-
-``cba/a.3_non-co2-emissions.csv``
-
-- **Source:** TYNDP 2024 Methodology: CBA Implementation Guidelines, https://tyndp.entsoe.eu/resources/tyndp-2024-methodology-cba-implementation-guidelines-for-consultation-1
-- **Link:** https://storage.googleapis.com/open-tyndp-data-store/cba/a.3_non-co2-emissions.csv
-- **Description:** Contains a CSV file of the extracted Annex A.3 non-CO2 emissions factors table.
diff --git a/doc/validation.rst b/doc/validation.md
similarity index 77%
rename from doc/validation.rst
rename to doc/validation.md
index 877f230b29..9397f5f557 100644
--- a/doc/validation.rst
+++ b/doc/validation.md
@@ -1,33 +1,23 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
 
-##########################################
-Validation
-##########################################
+# Validation
 
 The PyPSA-Eur model workflow has been validated by contrasting the outcomes of network optimization against the historical behaviour of the European power system.
 These comparisons utilize data from the 2019 ENTSO-E Transparency Platform.
-The setup uses monthly varying fuel prices for gas, lignite, coal and oil as well as CO2 prices, which are created by the script :mod:`build_monthly_prices`.
+The setup uses monthly varying fuel prices for gas, lignite, coal and oil as well as CO2 prices, which are created by the script [build_monthly_prices][].
 
 The comparison with the historical data shows partially accurate, partially improvable results. The following figures show the comparison of the dispatch of the different carriers.
 
-.. image:: img/validation_seasonal_operation_area_elec_s_37_ec_lv1.0_Ept.png
-   :width: 100%
-   :align: center
+![Validation seasonal operation area](img/validation_seasonal_operation_area_elec_s_37_ec_lv1.0_Ept.png){width=100%}
 
-.. image:: img/validation_production_bar_elec_s_37_ec_lv1.0_Ept.png
-   :width: 100%
-   :align: center
+![Validation production bar](img/validation_production_bar_elec_s_37_ec_lv1.0_Ept.png){width=100%}
 
-
-
-Issues and possible improvements
---------------------------------
+## Issues and possible improvements
 
 **Overestimated dispatch of wind and solar:** Renewable potentials of wind and solar are slightly overestimated in the model. This leads to a higher dispatch of these carriers than in the historical data. In particular, the solar dispatch during winter is overestimated.
 
-**Coal - Lignite fuel switch:** The model has a fuel switch from coal to lignite. This might result from non-captured subsidies for lignite and coal in the model. In order to fix the fuel switch from coal to lignite, a manual cost correction was added to the script ``build_monthly_prices``.
+**Coal - Lignite fuel switch:** The model has a fuel switch from coal to lignite. This might result from non-captured subsidies for lignite and coal in the model. In order to fix the fuel switch from coal to lignite, a manual cost correction was added to the script `build_monthly_prices`.
 
 **Planned outages of nuclear power plants:** Planned outages of nuclear power plants are not captured in the model. This leads to a underestimated dispatch of nuclear power plants in winter and a overestimated dispatch in summer. This point is hard to fix, since the planned outages are not published in the ENTSO-E Transparency Platform.
 
diff --git a/doc/validation_dev.md b/doc/validation_dev.md
new file mode 100644
index 0000000000..0baedf130a
--- /dev/null
+++ b/doc/validation_dev.md
@@ -0,0 +1,263 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Validation
+
+PyPSA-Eur uses [Pydantic](https://docs.pydantic.dev/) models for validation.
+This system provides type checking, default values, and documentation in a single place.
+
+## Configuration
+
+The configuration validation system consists of:
+
+- **Pydantic models** in `scripts/lib/validation/config/` that define all options and validates the snakemake config.
+- **Auto-generated files**: `config/config.default.yaml` and `config/schema.default.json`.
+
+### Adding a New Config Option
+
+To add a new option to an existing config section, edit the corresponding module in
+`scripts/lib/validation/config/`. Each field uses Pydantic's `Field()` function.
+
+For example, the `logging` section in `scripts/lib/validation/config/__init__.py`:
+
+```python
+from typing import Literal
+from pydantic import Field
+from scripts.lib.validation.config._base import ConfigModel
+
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
+
+    # ... existing fields ...
+
+    # An option with default 0.5, float type and between 0 and 1. If anything else is passed,
+    # the validation will fail
+    new_option: float = Field(
+        0.5,  # default value
+        description="Threshold for the new feature.",  # shown in docs and IDE
+        ge=0,  # greater than or equal
+        le=1,  # less than or equal
+        examples=[0.3, 0.7],  # example values for docs
+    )
+```
+
+For more Field parameters, see the [Pydantic Field documentation](https://docs.pydantic.dev/latest/concepts/fields/).
+
+!!! note
+    If you are making config changes in a fork of PyPSA-Eur to meet your project-specific needs,
+    you should instead use the config updater class described in [Extending for Soft-Forks](#soft_fork_ext).
+
+### Adding a New Config Section
+
+To add a nested config section, define a helper class and add it to an existing config.
+For example, adding a `file` section to `LoggingConfig`:
+
+```python
+class _LoggingFileConfig(ConfigModel):
+    """Configuration for logging to file."""
+
+    enabled: bool = Field(False, description="Enable file logging.")
+    path: str = Field("logs/pypsa.log", description="Log file path.")
+    format: str | None = Field(None, description="Custom log format for that file.")
+
+
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
+
+    # ... existing fields ...
+
+    file: _LoggingFileConfig = Field(
+        default_factory=_LoggingFileConfig,
+        description="File logging configuration.",
+    )
+```
+
+There is one python module for each top level configuration. Helper classes for nested
+keys usee underscore prefix (e.g., `_LoggingFileConfig`) by convention.
+
+!!! note
+    If you are making config changes in a fork of PyPSA-Eur to meet your project-specific needs,
+    you should instead use the config updater class described in [Extending for Soft-Forks](#soft_fork_ext).
+
+### Regenerating Config Files
+
+Snakemake will only read from the `config/config.default.yaml`, which needs to be generated
+after making changes to the Pydantic model. To regenerate the default config and JSON
+schema:
+
+```console
+$ pixi run generate-config
+```
+
+This updates `config/config.default.yaml` and `config/schema.default.json`.
+For example, the two examples above would now generate:
+
+```yaml
+logging:
+  level: INFO
+  format: "%(levelname)s:%(name)s:%(message)s"
+  new_option: 0.5
+  file:
+    enabled: false
+    path: logs/pypsa.log
+    format: null
+```
+
+Always commit these regenerated files alongside your model changes.
+
+### Custom Validators
+
+For validation logic beyond simple type checks and constraints, Pydantic provides
+`field_validator` (for single fields) and `model_validator` (for cross-field validation).
+
+**Field Validator**: Validate a single field's value. For example, ensuring the log level
+is uppercase:
+
+```python
+from pydantic import Field, field_validator
+from scripts.lib.validation.config._base import ConfigModel
+
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
+
+    level: str = Field("INFO", description="Logging level.")
+
+    @field_validator("level")
+    @classmethod
+    def validate_level(cls, v):
+        if v.upper() != v:
+            raise ValueError("Logging level must be uppercase (e.g., 'INFO', 'DEBUG').")
+        return v
+```
+
+**Model Validator**: Validate relationships between multiple fields. For example,
+ensuring the file path is set when file logging is enabled:
+
+```python
+from pydantic import Field, model_validator
+from scripts.lib.validation.config._base import ConfigModel
+
+class LoggingConfig(ConfigModel):
+    """Configuration for top level `logging` settings."""
+
+    file_enabled: bool = Field(False, description="Enable file logging.")
+    file_path: str | None = Field(None, description="Log file path.")
+
+    @model_validator
+    def check_file_path_required(self):
+        if self.file_enabled and not self.file_path:
+            raise ValueError("file_path is required when file_enabled is True.")
+        return self
+```
+
+Again, find more information in the Pydantic documentation on
+[Field Validators](https://docs.pydantic.dev/latest/concepts/validators/#field-validators)
+and [Model Validators](https://docs.pydantic.dev/latest/concepts/validators/#model-validators).
+
+### Extending for Soft-Forks {#soft_fork_ext}
+
+If you maintain a soft-fork of PyPSA-Eur with custom config options, you have two approaches:
+
+**Allow extra fields**: The `ConfigSchema` uses `extra="allow"` by default, so
+unrecognized config keys won't cause validation errors. Your custom options will pass
+through without type checking. Only if you changed existing config settings, you will
+need to adjust the schema. But you will lose the sync of Pydantic model and defaults
+YAML, which is currently enforced via an upstream CI job.
+
+**Extend the schema**: It is better to add full validation of your additional
+configuration.
+The cleanest way to do this is to use the config updater base class that we make available.
+You impose config changes in subclasses of the base class and by importing those into `scripts.lib.validation.config_updates.py` they will be used to automatically overwrite the configuration.
+
+In the below example, two updates are made to the default config.
+
+```python
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+from scripts.lib.validation.config._base import ConfigUpdater
+from scripts.lib.validation.config._schema import ConfigSchema
+
+
+class ClusteringConfigUpdater(ConfigUpdater):
+    name: str = "update_clustering"
+    docs_url: str | None = None # no attempt will be made at updating the URL.
+
+    def update(self) -> type[ConfigSchema]:
+        # To update and existing config item, we need it's most recent state, as defined in `self.base_config`
+        clustering_config = self.base_config().clustering.__class__
+        mode_config = clustering_config.model_fields["mode"]
+
+        current_description = mode_config.description or ""
+        new_description = current_description + " (extra) foobar: new item."
+        new_list = Literal[mode_config.annotation, "foobar"]
+
+        clustering_schema = self._apply_updates(
+            __base__=clustering_config,
+            mode=(new_list, Field(mode_config.default, description=new_description)),
+        )
+        new_schema = self._apply_updates(
+            clustering=(clustering_schema, Field(default_factory=clustering_schema))
+        )
+
+        return new_schema
+
+
+class MyNewConfigSection(BaseModel):
+    my_new_field: str = Field("foo")
+
+
+class NewConfigItem(ConfigUpdater):
+    name: str = "new_section"
+    docs_url: str | None = "https://my-own-docs.readthedocs.org/config.html#{field_name}"
+
+    def update(self) -> type[ConfigSchema]:
+        new_schema = self._apply_updates(
+            new_section=(MyNewConfigSection, Field(default_factory=MyNewConfigSection)),
+        )
+        return new_schema
+```
+
+If this code were stored in the script `scripts/_my_config_updates.py` then `scripts.lib.validation.config_updates.py` would now include:
+
+```python
+import scripts._my_config_updates
+```
+
+This is sufficient for both updates to be imported.
+
+!!! note "Config filename"
+
+    When generating the config files with the above example (`pixi run generate-config`),
+    you would now generate `config/config.default.update_clustering.new_section.yaml`.
+    To override the base `config/config.default.yaml`, you can set the `name` property of your updater classes to empty strings: `""`.
+
+!!! note "Docs URL"
+
+    The generated default config file will reference a documentation URL above every top-level key.
+    When using updating with your own config schema, you may well want to also refer to your own documentation.
+    You can set the `docs_url` property to refer to a different URL to the default (which is the PyPSA-Eur documentation).
+    Any reference to `{field_name}` in the string will be formatted to the top-level key above which the URL comment is being placed in the config, to allow for fine-grained references.
+
+!!! note "Chaining updates"
+
+    Several separate update scripts can exist and be used to create chained updates of the schema.
+    They will be used to update the schema in the order they appear in `scripts.lib.validation.config_updates.py`.
+    this means that you can update the same config item multiple times.
+    If you are importing config changes from a submodule and you want to catch cases where you are both updating the same config item, you can add a check in your `update` method, such as:
+
+    ```python
+    if clustering_config != ClusteringConfig:
+        raise ValueError(
+            "You are trying to update the clustering config item after it has already been updated by another config updater."
+            " This could have unexpected consequences."
+        )
+    ```
+
+::: lib.validation.config._base.ConfigUpdater
+    options:
+      members:
+        - name
+        - update
+        - _apply_updates
diff --git a/doc/validation_dev.rst b/doc/validation_dev.rst
deleted file mode 100644
index 81a871bebe..0000000000
--- a/doc/validation_dev.rst
+++ /dev/null
@@ -1,262 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-##########################################
-Validation
-##########################################
-
-PyPSA-Eur uses `Pydantic <https://docs.pydantic.dev/>`_ models for validation.
-This system provides type checking, default values, and documentation in a single place.
-
-Configuration
-=============
-
-The configuration validation system consists of:
-
-- **Pydantic models** in ``scripts/lib/validation/config/`` that define all options and validates the snakemake config.
-- **Auto-generated files**: ``config/config.default.yaml`` and ``config/schema.default.json``.
-
-Adding a New Config Option
---------------------------
-
-To add a new option to an existing config section, edit the corresponding module in
-``scripts/lib/validation/config/``. Each field uses Pydantic's ``Field()`` function.
-
-For example, the ``logging`` section in ``scripts/lib/validation/config/__init__.py``:
-
-.. code-block:: python
-
-   from typing import Literal
-   from pydantic import Field
-   from scripts.lib.validation.config._base import ConfigModel
-
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
-
-       # ... existing fields ...
-
-       # An option with default 0.5, float type and between 0 and 1. If anything else is passed,
-       # the validation will fail
-       new_option: float = Field(
-           0.5,  # default value
-           description="Threshold for the new feature.",  # shown in docs and IDE
-           ge=0,  # greater than or equal
-           le=1,  # less than or equal
-           examples=[0.3, 0.7],  # example values for docs
-       )
-
-For more Field parameters, see the `Pydantic Field documentation <https://docs.pydantic.dev/latest/concepts/fields/>`__.
-
-.. note::
-    If you are making config changes in a fork of PyPSA-Eur to meet your project-specific needs,
-    you should instead use the config updater class described in :ref:`soft_fork_ext`.
-
-Adding a New Config Section
----------------------------
-
-To add a nested config section, define a helper class and add it to an existing config.
-For example, adding a ``file`` section to ``LoggingConfig``:
-
-.. code-block:: python
-
-   class _LoggingFileConfig(ConfigModel):
-       """Configuration for logging to file."""
-
-       enabled: bool = Field(False, description="Enable file logging.")
-       path: str = Field("logs/pypsa.log", description="Log file path.")
-       format: str | None = Field(None, description="Custom log format for that file.")
-
-
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
-
-       # ... existing fields ...
-
-       file: _LoggingFileConfig = Field(
-           default_factory=_LoggingFileConfig,
-           description="File logging configuration.",
-       )
-
-
-There is one python module for each top level configuration. Helper classes for nested
-keys usee underscore prefix (e.g., ``_LoggingFileConfig``) by convention.
-
-.. note::
-    If you are making config changes in a fork of PyPSA-Eur to meet your project-specific needs,
-    you should instead use the config updater class described in :ref:`soft_fork_ext`.
-
-Regenerating Config Files
--------------------------
-
-Snakemake will only read from the ``config/config.default.yaml``, which needs to be generated
-after making changes to the Pydantic model. To regenerate the default config and JSON
-schema:
-
-.. code-block:: console
-
-   $ pixi run generate-config
-
-This updates ``config/config.default.yaml`` and ``config/schema.default.json``.
-For example, the two examples above would now generate:
-
-.. code-block:: yaml
-
-   logging:
-     level: INFO
-     format: "%(levelname)s:%(name)s:%(message)s"
-     new_option: 0.5
-     file:
-       enabled: false
-       path: logs/pypsa.log
-       format: null
-
-Always commit these regenerated files alongside your model changes.
-
-Custom Validators
------------------
-
-For validation logic beyond simple type checks and constraints, Pydantic provides
-``field_validator`` (for single fields) and ``model_validator`` (for cross-field validation).
-
-**Field Validator**: Validate a single field's value. For example, ensuring the log level
-is uppercase:
-
-.. code-block:: python
-
-   from pydantic import Field, field_validator
-   from scripts.lib.validation.config._base import ConfigModel
-
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
-
-       level: str = Field("INFO", description="Logging level.")
-
-       @field_validator("level")
-       @classmethod
-       def validate_level(cls, v):
-           if v.upper() != v:
-               raise ValueError("Logging level must be uppercase (e.g., 'INFO', 'DEBUG').")
-           return v
-
-**Model Validator**: Validate relationships between multiple fields. For example,
-ensuring the file path is set when file logging is enabled:
-
-.. code-block:: python
-
-   from pydantic import Field, model_validator
-   from scripts.lib.validation.config._base import ConfigModel
-
-   class LoggingConfig(ConfigModel):
-       """Configuration for top level `logging` settings."""
-
-       file_enabled: bool = Field(False, description="Enable file logging.")
-       file_path: str | None = Field(None, description="Log file path.")
-
-       @model_validator
-       def check_file_path_required(self):
-           if self.file_enabled and not self.file_path:
-               raise ValueError("file_path is required when file_enabled is True.")
-           return self
-
-Again, find more information in the Pydantic documentation on
-`Field Validators <https://docs.pydantic.dev/latest/concepts/validators/#field-validators>`_
-and `Model Validators <https://docs.pydantic.dev/latest/concepts/validators/#model-validators>`_.
-
-.. _soft_fork_ext:
-
-Extending for Soft-Forks
-------------------------
-
-If you maintain a soft-fork of PyPSA-Eur with custom config options, you have two approaches:
-
-**Allow extra fields**: The ``ConfigSchema`` uses ``extra="allow"`` by default, so
-unrecognized config keys won't cause validation errors. Your custom options will pass
-through without type checking. Only if you changed existing config settings, you will
-need to adjust the schema. But you will lose the sync of Pydantic model and defaults
-YAML, which is currently enforced via an upstream CI job.
-
-**Extend the schema**: It is better to add full validation of your additional
-configuration.
-The cleanest way to do this is to use the config updater base class that we make available.
-You impose config changes in subclasses of the base class and by importing those into `scripts.lib.validation.config_updates.py` they will be used to automatically overwrite the configuration.
-
-In the below example, two updates are made to the default config.
-
-.. code-block:: python
-
-    from typing import Literal
-
-    from pydantic import BaseModel, Field
-
-    from scripts.lib.validation.config._base import ConfigUpdater
-    from scripts.lib.validation.config._schema import ConfigSchema
-
-
-    class ClusteringConfigUpdater(ConfigUpdater):
-        name: str = "update_clustering"
-
-        def update(self) -> type[ConfigSchema]:
-            # To update and existing config item, we need it's most recent state, as defined in `self.base_config`
-            clustering_config = self.base_config().clustering.__class__
-            mode_config = clustering_config.model_fields["mode"]
-
-            current_description = mode_config.description or ""
-            new_description = current_description + " (extra) foobar: new item."
-            new_list = Literal[mode_config.annotation, "foobar"]
-
-            clustering_schema = self._apply_updates(
-                __base__=clustering_config,
-                mode=(new_list, Field(mode_config.default, description=new_description)),
-            )
-            new_schema = self._apply_updates(
-                clustering=(clustering_schema, Field(default_factory=clustering_schema))
-            )
-
-            return new_schema
-
-
-    class MyNewConfigSection(BaseModel):
-        my_new_field: str = Field("foo")
-
-
-    class NewConfigItem(ConfigUpdater):
-        name: str = "new_section"
-
-        def update(self) -> type[ConfigSchema]:
-            new_schema = self._apply_updates(
-                new_section=(MyNewConfigSection, Field(default_factory=MyNewConfigSection)),
-            )
-            return new_schema
-
-If this code were stored in the script ``scripts/_my_config_updates.py`` then ``scripts.lib.validation.config_updates.py`` would now include:
-
-.. code-block:: python
-
-    import scripts._my_config_updates
-
-This is sufficient for both updates to be imported.
-
-.. admonition:: Config filename
-
-    When generating the config files with the above example (``pixi run generate-config``),
-    you would now generate ``config/config.default.update_clustering.new_section.yaml``.
-    To override the base ``config/config.default.yaml``, you can set the ``name`` property of your updater classes to empty strings: ``""``.
-
-.. admonition:: Chaining updates
-
-    Several separate update scripts can exist and be used to create chained updates of the schema.
-    They will be used to update the schema in the order they appear in ``scripts.lib.validation.config_updates.py``.
-    this means that you can update the same config item multiple times.
-    If you are importing config changes from a submodule and you want to catch cases where you are both updating the same config item, you can add a check in your ``update`` method, such as:
-
-    .. code:: python
-
-        if clustering_config != ClusteringConfig:
-            raise ValueError(
-                "You are trying to update the clustering config item after it has already been updated by another config updater."
-                " This could have unexpected consequences."
-            )
-
-.. autoclass:: lib.validation.config._base::ConfigUpdater
-    :members: name, update, _apply_updates
\ No newline at end of file
diff --git a/doc/wildcards.md b/doc/wildcards.md
new file mode 100644
index 0000000000..11c60a9e73
--- /dev/null
+++ b/doc/wildcards.md
@@ -0,0 +1,82 @@
+<!-- SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur> -->
+<!-- SPDX-License-Identifier: CC-BY-4.0 -->
+
+# Wildcards {#wildcards}
+
+It is easy to run PyPSA-Eur for multiple scenarios using the wildcards feature of `snakemake`.
+Wildcards allow to generalise a rule to produce all files that follow a regular expression pattern
+which e.g. defines one particular scenario. One can think of a wildcard as a parameter that shows
+up in the input/output file names of the `Snakefile` and thereby determines which rules to run,
+what data to retrieve and what files to produce.
+
+!!! note
+    Detailed explanations of how wildcards work in `snakemake` can be found in the
+    [relevant section of the documentation](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards).
+
+## The `{cutout}` wildcard {#cutout_wc}
+
+The `{cutout}` wildcard facilitates running the rule [build_cutout][]
+for all cutout configurations specified under `atlite: cutouts:`.
+These cutouts will be stored in a folder specified by `{cutout}`.
+
+## The `{technology}` wildcard {#technology}
+
+The `{technology}` wildcard specifies for which renewable energy technology to produce availability time
+series and potentials using the rule [build_renewable_profiles][].
+It can take the values `onwind`, `offwind-ac`, `offwind-dc`, `offwind-float`, and `solar` but **not** `hydro`
+(since hydroelectric plant profiles are created by a different rule)
+
+## The `{clusters}` wildcard {#clusters}
+
+The `{clusters}` wildcard specifies the number of buses a detailed
+network model should be reduced to in the rule [cluster_network][].
+The number of clusters must be lower than the total number of nodes
+and higher than the number of countries. However, a country counts twice if
+it has two asynchronous subnetworks (e.g. Denmark or Italy).
+
+## The `{opts}` wildcard {#opts}
+
+The `{opts}` wildcard is used for electricity-only studies. It triggers
+optional constraints, which are activated in either [prepare_network][] or
+the [solve_network][] step. It may hold multiple triggers separated by `-`,
+i.e. `Co2L-3h` contains the `Co2L` trigger and the `3h` switch. There are
+currently:
+
+| Trigger | Description |
+|---------|-------------|
+| `Co2L` | Add an pointwise or global CO2 limit constraint |
+| `Co2L{p}` | Set CO2 limit to `p` times the 1990 CO2 emissions |
+| `Ep` | Add an pointwise or global emission pricing constraint |
+| `Ep{p}` | Set the emission price to `p` EUR/tCO2 |
+| `{n}h` | Temporal averaging/down-sampling by `n` hours |
+| `{n}seg` | Apply `n` time segments using the tsam package |
+
+!!! note
+    The wildcard options are processed in ``scripts/prepare_network.py`` and ``scripts/solve_network.py``.
+
+## The `{sector_opts}` wildcard {#sector_opts}
+
+!!! warning
+    More comprehensive documentation for this wildcard will be added soon.
+    To really understand the options here, look in scripts/prepare_sector_network.py
+
+The `{sector_opts}` wildcard is only used for sector-coupling studies.
+
+| Trigger | Description |
+|---------|-------------|
+| `cb{x}ex{y}` | Set a carbon budget of `x` Gt CO2 with exponential decay starting at linear growth rate `y` |
+| `Co2L{p}` | Set CO2 limit to `p` times the 1990 CO2 emissions |
+| `{n}h` | Temporal averaging/down-sampling by `n` hours |
+| `{n}seg` | Apply `n` time segments using the tsam package |
+
+!!! note
+    The wildcard options for sector-coupled studies are processed in ``scripts/prepare_sector_network.py``.
+    For more details, refer to the source code.
+
+## The `{planning_horizons}` wildcard {#planning_horizons}
+
+!!! warning
+    More comprehensive documentation for this wildcard will be added soon.
+
+The `{planning_horizons}` wildcard is only used for sector-coupling studies.
+It takes years as values, e.g. 2020, 2030, 2040, 2050.
diff --git a/doc/wildcards.rst b/doc/wildcards.rst
deleted file mode 100644
index ae5da7fae8..0000000000
--- a/doc/wildcards.rst
+++ /dev/null
@@ -1,93 +0,0 @@
-.. SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
-..
-.. SPDX-License-Identifier: CC-BY-4.0
-
-.. _wildcards:
-
-#########
-Wildcards
-#########
-
-It is easy to run PyPSA-Eur for multiple scenarios using the wildcards feature of ``snakemake``.
-Wildcards allow to generalise a rule to produce all files that follow a regular expression pattern
-which e.g. defines one particular scenario. One can think of a wildcard as a parameter that shows
-up in the input/output file names of the ``Snakefile`` and thereby determines which rules to run,
-what data to retrieve and what files to produce.
-
-.. note::
-    Detailed explanations of how wildcards work in ``snakemake`` can be found in the
-    `relevant section of the documentation <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#wildcards>`__.
-
-.. _cutout_wc:
-
-The ``{cutout}`` wildcard
-=========================
-
-The ``{cutout}`` wildcard facilitates running the rule :mod:`build_cutout`
-for all cutout configurations specified under ``atlite: cutouts:``.
-These cutouts will be stored in a folder specified by ``{cutout}``.
-
-.. _technology:
-
-The ``{technology}`` wildcard
-=============================
-
-The ``{technology}`` wildcard specifies for which renewable energy technology to produce availability time
-series and potentials using the rule :mod:`build_renewable_profiles`.
-It can take the values ``onwind``, ``offwind-ac``, ``offwind-dc``, ``offwind-float``, and ``solar`` but **not** ``hydro``
-(since hydroelectric plant profiles are created by a different rule)``
-
-.. _clusters:
-
-The ``{clusters}`` wildcard
-===========================
-
-The ``{clusters}`` wildcard specifies the number of buses a detailed
-network model should be reduced to in the rule :mod:`cluster_network`.
-The number of clusters must be lower than the total number of nodes
-and higher than the number of countries. However, a country counts twice if
-it has two asynchronous subnetworks (e.g. Denmark or Italy).
-
-.. _opts:
-
-The ``{opts}`` wildcard
-=======================
-
-The ``{opts}`` wildcard is used for electricity-only studies. It triggers
-optional constraints, which are activated in either :mod:`prepare_network` or
-the :mod:`solve_network` step. It may hold multiple triggers separated by ``-``,
-i.e. ``Co2L-3h`` contains the ``Co2L`` trigger and the ``3h`` switch. There are
-currently:
-
-
-.. csv-table::
-   :header-rows: 1
-   :widths: 10,20,10,10
-   :file: configtables/opts.csv
-
-.. _sector_opts:
-
-The ``{sector_opts}`` wildcard
-==============================
-
-.. warning::
-    More comprehensive documentation for this wildcard will be added soon.
-    To really understand the options here, look in scripts/prepare_sector_network.py
-
-The ``{sector_opts}`` wildcard is only used for sector-coupling studies.
-
-.. csv-table::
-   :header-rows: 1
-   :widths: 10,20,10,10
-   :file: configtables/sector-opts.csv
-
-.. _planning_horizons:
-
-The ``{planning_horizons}`` wildcard
-====================================
-
-.. warning::
-    More comprehensive documentation for this wildcard will be added soon.
-
-The ``{planning_horizons}`` wildcard is only used for sector-coupling studies.
-It takes years as values, e.g. 2020, 2030, 2040, 2050.
diff --git a/docker/dev-env/Dockerfile b/docker/dev-env/Dockerfile
index 912d50957f..b9316d34bd 100644
--- a/docker/dev-env/Dockerfile
+++ b/docker/dev-env/Dockerfile
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: CC0-1.0
 
-FROM ghcr.io/prefix-dev/pixi:0.63.2 AS build
+FROM ghcr.io/prefix-dev/pixi:0.63.2
 
 LABEL org.opencontainers.image.source=https://github.com/open-energy-transition/open-tyndp
 
@@ -12,17 +12,16 @@ RUN apt-get update && \
     apt-get install -y --no-install-recommends bash git && \
     rm -rf /var/lib/apt/lists/*
 
-WORKDIR /pypsa-eur
+# Install pixi env at /opt/pixi-env (allow for bind mounts)
+COPY pixi.toml pixi.lock /opt/pixi-env/
+RUN cd /opt/pixi-env && pixi install -e default && pixi clean cache --yes
 
-COPY pixi.toml pixi.lock ./
+WORKDIR /workspace
 
-RUN pixi install -e default && pixi clean cache --yes
-RUN pixi shell-hook -e default > /shell-hook.sh
+# Link pre-installed pixi env into workspace, activate environment and run command
+RUN echo '[ ! -e /workspace/.pixi ] && ln -s /opt/pixi-env/.pixi /workspace/.pixi' > /entrypoint.sh && \
+    pixi shell-hook -e default --manifest-path /opt/pixi-env/pixi.toml >> /entrypoint.sh && \
+    echo 'exec "$@"' >> /entrypoint.sh
 
-# extend the shell-hook script to run the command passed to the container
-RUN echo 'exec "$@"' >> /shell-hook.sh
-
-# set the entrypoint to the shell-hook script (activate the environment and run the command)
-# no more pixi needed in the prod container
-ENTRYPOINT ["/bin/bash", "/shell-hook.sh"]
+ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]
 CMD ["bash"]
diff --git a/envs/default_linux-64.pin.txt b/envs/default_linux-64.pin.txt
index 8d7c428c5e..2d6f3558b5 100644
--- a/envs/default_linux-64.pin.txt
+++ b/envs/default_linux-64.pin.txt
@@ -1,63 +1,60 @@
 # Generated by `pixi workspace export`
 # platform: linux-64
 @EXPLICIT
-https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
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diff --git a/envs/default_osx-64.pin.txt b/envs/default_osx-64.pin.txt
index 9e0b8f0bbe..4eedf5f6a2 100644
--- a/envs/default_osx-64.pin.txt
+++ b/envs/default_osx-64.pin.txt
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diff --git a/envs/default_osx-arm64.pin.txt b/envs/default_osx-arm64.pin.txt
index 5496b18dcc..8f09d60966 100644
--- a/envs/default_osx-arm64.pin.txt
+++ b/envs/default_osx-arm64.pin.txt
@@ -1,24 +1,26 @@
 # Generated by `pixi workspace export`
 # platform: osx-arm64
 @EXPLICIT
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diff --git a/envs/default_win-64.pin.txt b/envs/default_win-64.pin.txt
index b8d9d95c3c..cdda585bb9 100644
--- a/envs/default_win-64.pin.txt
+++ b/envs/default_win-64.pin.txt
@@ -2,73 +2,74 @@
 # platform: win-64
 @EXPLICIT
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-https://conda.anaconda.org/conda-forge/noarch/pytest-9.0.3-pyhc364b38_1.conda#6a991452eadf2771952f39d43615bb3e
+https://conda.anaconda.org/conda-forge/noarch/pytest-9.1.1-pyhc364b38_2.conda#64c98a12c4e23eb238bf66bbecafdf3c
 https://conda.anaconda.org/conda-forge/noarch/python-utils-3.9.1-pyhff2d567_1.conda#24ed1dc544b101075fa7462be5c3a5c5
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-https://conda.anaconda.org/conda-forge/win-64/lz4-4.4.5-py312hc3c93f3_1.conda#835dcb698b526cfeab01e1f5f908ca5c
+https://conda.anaconda.org/conda-forge/win-64/lz4-4.4.5-py314hfc2a91f_1.conda#8e9b2740fe44700706e8e4ca7e4fb8b6
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-https://conda.anaconda.org/conda-forge/win-64/cytoolz-1.1.0-py312he06e257_2.conda#978c009bc3f0add939e44aff97bfaee1
-https://conda.anaconda.org/conda-forge/noarch/distributed-2026.3.0-pyhc364b38_0.conda#8efb90a27e3b948514a428cb99f3fc70
+https://conda.anaconda.org/conda-forge/win-64/cytoolz-1.1.0-py314h5a2d7ad_2.conda#8309b55a55dac8050260de935d31724a
+https://conda.anaconda.org/conda-forge/noarch/distributed-2026.6.0-pyhc364b38_1.conda#2a6851a6c69ce7c0b03a89d5d4209257
 https://conda.anaconda.org/conda-forge/noarch/bokeh-3.9.1-pyhd8ed1ab_0.conda#123fcfe0df4b6fc21804538e59cdaafe
-https://conda.anaconda.org/conda-forge/noarch/dask-2026.3.0-pyhc364b38_0.conda#f9761ef056ba0ccef16e01cfceee62c2
+https://conda.anaconda.org/conda-forge/noarch/dask-2026.6.0-pyhc364b38_0.conda#a2d2a05abf6076c3d041ec91b2235823
 https://conda.anaconda.org/conda-forge/noarch/findlibs-0.1.2-pyhd8ed1ab_0.conda#fa9e9ec7bf26619a8edd3e11155f15d6
 https://conda.anaconda.org/conda-forge/win-64/freeglut-3.2.2-hac47afa_4.conda#dd76cafa8f23c9aaee93aa7e745fdba4
 https://conda.anaconda.org/conda-forge/win-64/jasper-4.2.9-h8ad263b_1.conda#c975e3f46230e47c7cab2d58c46f1f30
 https://conda.anaconda.org/conda-forge/win-64/eccodes-2.46.0-h2bffdaa_0.conda#b67461a22f04b331bffd046bcfa4c7ac
-https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.46.0-np2py312h226b611_0.conda#dac45a197e14d635ec763553cc8ac6d2
+https://conda.anaconda.org/conda-forge/win-64/python-eccodes-2.46.0-np2py314hea88fa1_0.conda#4ea04d57a706258d3f1371ac84059202
 https://conda.anaconda.org/conda-forge/noarch/cfgrib-0.9.15.1-pyhd8ed1ab_0.conda#0f12f8436a2a238e255d49ea3f8aefe2
-https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.7-pyhd8ed1ab_0.conda#e585c71c2ed48e4eee1663d627ddcd47
+https://conda.anaconda.org/conda-forge/noarch/multiurl-0.3.9-pyhd8ed1ab_0.conda#d4e8f98a575bf884db81344e7a9fbe95
 https://conda.anaconda.org/conda-forge/noarch/ecmwf-datastores-client-0.5.1-pyhd8ed1ab_0.conda#fc8b15af108a2fdb15ef04d12fbfe87d
 https://conda.anaconda.org/conda-forge/noarch/cdsapi-0.7.7-pyhd8ed1ab_0.conda#1f878573c1ee2798c052bee1f5a94f50
-https://conda.anaconda.org/conda-forge/noarch/atlite-0.4.1-pyhd8ed1ab_1.conda#81f981df273cd627927372680aa9dd31
+https://conda.anaconda.org/conda-forge/noarch/atlite-0.6.1-pyhd8ed1ab_0.conda#eb6d307eabcb6918e1c34cce221546bc
diff --git a/envs/environment.yaml b/envs/environment.yaml
index c4fdff8bd8..bb1bdeecda 100644
--- a/envs/environment.yaml
+++ b/envs/environment.yaml
@@ -6,7 +6,7 @@ channels:
 - https://repo.prefix.dev/open-tyndp
 - nodefaults
 dependencies:
-- atlite >=0.3,<0.5
+- atlite >=0.3,!=0.5.0
 - bokeh >=3.8.0
 - cartopy >=0.25.0
 - copernicusmarine >=2.2.4
@@ -25,7 +25,6 @@ dependencies:
 - highspy >=1.12.0
 - ipython >=9.7.0
 - jpype1 >=1.6.0
-- jupyter >=1.1.1
 - libgdal-netcdf >=3.10.3
 - linopy >=0.6.1,<0.7.0
 - lxml >=6.0.2
@@ -33,26 +32,24 @@ dependencies:
 - memory_profiler >=0.61.0
 - netcdf4 >=1.7.2,!=1.7.4
 - networkx >=3.5
-- numpy >=1.26.4,<2
+- numpy >=1.26.4
 - openpyxl >=3.1.5
 - pandas >=2.1
 - plotly >=6.4.0
 - powerplantmatching >=0.5.15
 - pydantic >=2
 - python-dotenv >=1.0
-- pre-commit >=4.3.0
 - proj >=9.6.2
-- pylint >=4.0.2
 - pydeck >0.6
-- pypsa >=0.35.2
+- pypsa <1.2
 - pyscipopt >=5.6.0
 - pytables >=3.10.2
 - python >=3.10
 - pytz >=2025.2
 - pyxlsb >=1.0.10
 - rasterio >=1.4.3
+- rasterstats >=0.10.3
 - rioxarray >=0.20.0
-- ruff >=0.14.3
 - ruamel.yaml >=0.18.0
 - scipy >=1.16.3
 - seaborn >=0.13.2
@@ -70,6 +67,7 @@ dependencies:
 - pandera >=0.28.1
 - natsort >=8.4.0
 - snakemake-logger-plugin-pypsa >=0.1.0
-- grpcio <1.78
 - pydeflate >=2.3.4
+- grpcio <1.78
+- snakemake-logger-plugin-snkmt ==0.1.6
 - snakemake-executor-plugin-slurm >=1.9.2
diff --git a/mkdocs.yml b/mkdocs.yml
new file mode 100644
index 0000000000..355ca64579
--- /dev/null
+++ b/mkdocs.yml
@@ -0,0 +1,154 @@
+# SPDX-FileCopyrightText: Contributors to Open-TYNDP <https://github.com/open-energy-transition/open-tyndp>
+# SPDX-FileCopyrightText: Contributors to PyPSA-Eur <https://github.com/pypsa/pypsa-eur>
+#
+# SPDX-License-Identifier: CC-BY-4.0
+
+site_name: Open-TYNDP
+site_url: https://open-tyndp.readthedocs.io
+repo_url: https://github.com/open-energy-transition/open-tyndp
+repo_name: oet/open-tyndp
+
+docs_dir: doc
+
+theme:
+  name: material
+  logo: img/logo.svg
+  features:
+  - navigation.tabs
+  - navigation.tabs.sticky
+  - navigation.sections
+  - navigation.expand
+  - navigation.indexes
+  - navigation.top
+  - navigation.tracking
+  - search.suggest
+  - content.code.copy
+  - content.tabs.link
+  - content.action.edit
+  - content.action.view
+  - toc.follow
+  - search.highlight
+  - search.share
+  font:
+    text: Overpass
+
+nav:
+- Home:
+  - Home: index.md
+  - Getting Started:
+    - Introduction: introduction.md
+    - Installation: installation.md
+    - FAQ and Troubleshooting: faq_troubleshooting.md
+  - References:
+    - Release Notes: release_notes.md
+    - Licenses: licenses.md
+    - Limitations: limitations.md
+    - Support: support.md
+    - Publications: publications.md
+    - Contributors: contributors.md
+
+- Open TYNDP:
+  - Scenarios: scenarios.md
+  - Scenario Building: sb.md
+  - Cost-Benefit Analysis: cba.md
+  - Benchmarking: benchmarking.md
+  - Innovation Roadmap: innovation_roadmap.md
+
+- Background on PyPSA-Eur:
+  - Tutorials:
+    - "Tutorial: Electricity-Only": tutorial.md
+    - "Tutorial: Sector-Coupled": tutorial_sector.md
+  - Design:
+    - Spatial Resolution: spatial_resolution.md
+    - Supply and Demand: supply_demand.md
+    - Foresight Options: foresight.md
+    - Techno-Economic Assumptions: costs.md
+    - OETC Integration: oetc.md
+    - Validation: validation.md
+  - Configuration:
+    - Wildcards: wildcards.md
+    - Configuration: configuration.md
+
+- Data Sources:
+  - Data Sources: data_sources.md
+  - TYNDP 2024 Data: tyndp_2024.md
+  - Base Network: data-base-network.md
+  - Cutouts: data-cutouts.md
+  - Data Repositories: data-repos.md
+
+- Rules Overview:
+  - Retrieving Data: retrieve.md
+  - Building Electricity Networks: preparation.md
+  - Building Sector-Coupled Networks: sector.md
+  - Solving Networks: solving.md
+  - Plotting and Summaries: plotting.md
+
+- Contributing:
+  - contributing.md
+  - Validation Development: validation_dev.md
+
+
+plugins:
+- search
+- autorefs
+- macros:
+    module_name: doc/macros
+    j2_comment_start_string: "{%#"
+    j2_comment_end_string: "#%}"
+- table-reader
+- mkdocstrings:
+    default_handler: python
+    enable_inventory: true
+    handlers:
+      python:
+        paths: [scripts, scripts/sb, scripts/cba, .]
+        options:
+          docstring_style: numpy
+          show_source: false
+          show_root_heading: false
+          show_root_full_path: false
+          members: false
+          allow_inspection: true
+        inventories:
+        - https://docs.python.org/3/objects.inv
+- bibtex:
+    bib_file: doc/publications.bib
+    enable_inline_citations: false
+
+markdown_extensions:
+- footnotes
+- admonition
+- pymdownx.details
+- pymdownx.caret
+- pymdownx.tilde
+- abbr
+- pymdownx.snippets:
+    base_path: .
+- pymdownx.superfences:
+    custom_fences:
+    - name: mermaid
+      class: mermaid
+      format: !!python/name:pymdownx.superfences.fence_code_format
+- pymdownx.arithmatex:
+    generic: true
+- pymdownx.tabbed:
+    alternate_style: true
+- pymdownx.highlight
+- pymdownx.inlinehilite
+- tables
+- attr_list
+- md_in_html
+- toc:
+    permalink: true
+
+hooks:
+- doc/hooks.py
+
+extra_css:
+- assets/stylesheets/extra.css
+
+extra_javascript:
+- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
+
+copyright: >-
+  &copy Copyright Open-TYNDP and PyPSA-Eur Contributors | CC-BY-4.0
diff --git a/pixi.lock b/pixi.lock
index a1d2fe3880..a572214cf9 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -1,4 +1,9 @@
-version: 6
+version: 7
+platforms:
+- name: linux-64
+- name: osx-64
+- name: osx-arm64
+- name: win-64
 environments:
   default:
     channels:
@@ -8,32 +13,28 @@ environments:
     - url: https://repo.prefix.dev/open-tyndp/
     packages:
       linux-64:
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-cluster-generic-1.0.9-pyhdfd78af_0.tar.bz2
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-2.7.1-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-executor-plugin-slurm-jobstep-0.4.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-common-1.23.0-pyhdfd78af_1.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-executor-plugins-9.4.0-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-logger-plugins-2.1.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-report-plugins-1.3.0-pyhd4c3c12_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-scheduler-plugins-2.0.2-pyhd4c3c12_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-interface-storage-plugins-4.4.1-pyh84498cf_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-pypsa-0.2.0-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-logger-plugin-snkmt-0.1.6-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-minimal-9.23.1-pyhdfd78af_1.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-cached-http-0.3-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snakemake-storage-plugin-http-0.3.1-pyhdfd78af_0.conda
+      - conda: https://conda.anaconda.org/bioconda/noarch/snkmt-0.4.0-pyhdfd78af_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.14.1-py312h5d8c7f2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16-hb03c661_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16.1-hb03c661_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ampl-asl-1.0.0-h5888daf_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.13.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/arcosparse-0.4.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py312h4c3975b_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/argparse-dataclass-2.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.4.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/astroid-4.0.4-py312h7900ff3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.3.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/atlite-0.4.1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.2-hb03c661_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-26.1.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.9.3-hef928c7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.9.13-h2c9d079_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.12.6-hb03c661_0.conda
@@ -52,215 +53,92 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.16.0-hf824e48_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.13.0-ha7a2c86_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.14.0-h539c000_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.18.0-pyhcf101f3_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.5.0-py312h90b7ffd_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.15.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.4.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.4.0-hac0b51c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.9.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/boto3-1.43.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/botocore-1.43.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py312hfb8c2c5_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bottleneck-1.6.0-np2py314h56abb78_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py312hdb49522_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py314h3de4e8d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-3.1.3-hc31b594_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.5.20-hbd8a1cb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-sdkutils-0.2.4-habbe1e8_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-64/libgd-2.3.3-hb2c11ec_12.conda
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgd-2.3.3-h05bcc79_12.conda
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+  - idna >=2.0
+  - multidict >=4.0
+  - propcache >=0.2.1
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Apache-2.0
+  license_family: Apache
+  run_exports: {}
+  size: 151505
+  timestamp: 1779246206706
 - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h3a581c9_11.conda
   sha256: c3e279cb309b153152fcdd6ee6d039ad996d563c849f06be39d85b8e3351df25
   md5: f016c0c5f9c01549b259146614786192
@@ -32549,57 +45847,11 @@ packages:
   - krb5 >=1.22.2,<1.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
+  run_exports:
+    weak:
+    - zeromq >=4.3.5,<4.3.6.0a0
   size: 265717
   timestamp: 1779124031378
-- conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
-  sha256: 5488542dceeb9f2874e726646548ecc5608060934d6f9ceaa7c6a48c61f9cc8d
-  md5: e52c2ef711ccf31bb7f70ca87d144b9e
-  depends:
-  - python >=3.9
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 36341
-  timestamp: 1733261642963
-- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-4.1.0-pyhcf101f3_0.conda
-  sha256: 210bd31c22bb88f5e2a167df24c95bb5f152b2ada7502f9b8c49d1f5366db423
-  md5: ba3dcdc8584155c97c648ae9c044b7a3
-  depends:
-  - python >=3.10
-  - python
-  license: MIT
-  license_family: MIT
-  size: 24190
-  timestamp: 1779159948016
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.2-h25fd6f3_2.conda
-  sha256: 245c9ee8d688e23661b95e3c6dd7272ca936fabc03d423cdb3cdee1bbcf9f2f2
-  md5: c2a01a08fc991620a74b32420e97868a
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libzlib 1.3.2 h25fd6f3_2
-  license: Zlib
-  license_family: Other
-  size: 95931
-  timestamp: 1774072620848
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.2-hbb4bfdb_2.conda
-  sha256: 5dd728cebca2e96fa48d41661f1a35ed0ee3cb722669eee4e2d854c6745655eb
-  md5: 6276aa61ffc361cbf130d78cfb88a237
-  depends:
-  - __osx >=11.0
-  - libzlib 1.3.2 hbb4bfdb_2
-  license: Zlib
-  license_family: Other
-  size: 92411
-  timestamp: 1774073075482
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.2-h8088a28_2.conda
-  sha256: 8dd2ac25f0ba714263aac5832d46985648f4bfb9b305b5021d702079badc08d2
-  md5: f1c0bce276210bed45a04949cfe8dc20
-  depends:
-  - __osx >=11.0
-  - libzlib 1.3.2 h8088a28_2
-  license: Zlib
-  license_family: Other
-  size: 81123
-  timestamp: 1774072974535
 - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
   sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
   md5: 5187ecf958be3c39110fe691cbd6873e
@@ -32610,39 +45862,11 @@ packages:
   - vc14_runtime >=14.44.35208
   license: Zlib
   license_family: Other
+  run_exports:
+    weak:
+    - libzlib >=1.3.2,<2.0a0
   size: 850351
   timestamp: 1774072891049
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
-  sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
-  md5: 2aadb0d17215603a82a2a6b0afd9a4cb
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=14
-  - libstdcxx >=14
-  license: Zlib
-  license_family: Other
-  size: 122618
-  timestamp: 1770167931827
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zlib-ng-2.3.3-h8bce59a_1.conda
-  sha256: 4a1beb656761c7d8c9a53474bfd3932c30d82af5d93a32b8ef626c01c059d981
-  md5: b3ecb6480fd46194e3f7dd0ff4445dff
-  depends:
-  - __osx >=10.13
-  - libcxx >=19
-  license: Zlib
-  license_family: Other
-  size: 120464
-  timestamp: 1770168263684
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-ng-2.3.3-hed4e4f5_1.conda
-  sha256: a339606a6b224bb230ff3d711e801934f3b3844271df9720165e0353716580d4
-  md5: d99c2a23a31b0172e90f456f580b695e
-  depends:
-  - __osx >=11.0
-  - libcxx >=19
-  license: Zlib
-  license_family: Other
-  size: 94375
-  timestamp: 1770168363685
 - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.3.3-h0261ad2_1.conda
   sha256: 71332532332d13b5dbe57074ddcf82ae711bdc132affa5a2982a29ffa06dc234
   md5: 46a21c0a4e65f1a135251fc7c8663f83
@@ -32652,55 +45876,34 @@ packages:
   - vc14_runtime >=14.44.35208
   license: Zlib
   license_family: Other
+  run_exports:
+    weak:
+    - zlib-ng >=2.3.3,<2.4.0a0
   size: 124542
   timestamp: 1770167984883
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py312h5253ce2_1.conda
-  sha256: c2bcb8aa930d6ea3c9c7a64fc4fab58ad7bcac483a9a45de294f67d2f447f413
-  md5: 02738ff9855946075cbd1b5274399a41
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - libgcc >=14
-  - __glibc >=2.17,<3.0.a0
-  - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 467133
-  timestamp: 1762512686069
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.25.0-py312h01f6755_1.conda
-  sha256: 5360439241921c612a5df77e28ce0ae4912eef7de65dc42adba5499878a67e87
-  md5: d9209ec6445f95fba0c3c64fa4a46216
-  depends:
-  - python
-  - cffi >=1.11
-  - zstd >=1.5.7,<1.5.8.0a0
-  - __osx >=10.13
-  - python_abi 3.12.* *_cp312
-  - zstd >=1.5.7,<1.6.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 462661
-  timestamp: 1762512711429
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py312h37e1c23_1.conda
-  sha256: af843b0fe62d128a70f91dc954b2cb692f349a237b461788bd25dd928d0d1ef8
-  md5: 9300889791d4decceea3728ad3b423ec
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_1.conda
+  sha256: 5f751687a64cf5a6d69ad79aa437f45d6cc388d9e887dcdecff9d3b08cf7fd87
+  md5: 46f6f9bb324a58a9b081bbc56ade37f2
   depends:
   - python
   - cffi >=1.11
   - zstd >=1.5.7,<1.5.8.0a0
-  - python 3.12.* *_cpython
-  - __osx >=11.0
-  - python_abi 3.12.* *_cp312
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
   - zstd >=1.5.7,<1.6.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 390920
-  timestamp: 1762512713481
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py312he5662c2_1.conda
-  sha256: 49241574c373331ae63d9cb4978836db3b2571176a7db81fe48436c84ce38ff4
-  md5: e9e25949b682e95535068bae33153ba6
+  run_exports: {}
+  size: 380854
+  timestamp: 1762512720226
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py314hc5dbbe4_1.conda
+  sha256: 87bf6ba2dcc59dfbb8d977b9c29d19b6845ad54e092ea8204dcec62d7b461a30
+  md5: c1ef46c3666be935fbb7460c24950cff
   depends:
   - python
   - cffi >=1.11
@@ -32712,41 +45915,12 @@ packages:
   - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
   - zstd >=1.5.7,<1.6.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 374949
-  timestamp: 1762512770373
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
-  sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
-  md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 601375
-  timestamp: 1764777111296
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h3eecb57_6.conda
-  sha256: 47101a4055a70a4876ffc87b750ab2287b67eca793f21c8224be5e1ee6394d3f
-  md5: 727109b184d680772e3122f40136d5ca
-  depends:
-  - __osx >=10.13
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  size: 528148
-  timestamp: 1764777156963
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-hbf9d68e_6.conda
-  sha256: 9485ba49e8f47d2b597dd399e88f4802e100851b27c21d7525625b0b4025a5d9
-  md5: ab136e4c34e97f34fb621d2592a393d8
-  depends:
-  - __osx >=11.0
-  - libzlib >=1.3.1,<2.0a0
+  - python_abi 3.14.* *_cp314
   license: BSD-3-Clause
   license_family: BSD
-  size: 433413
-  timestamp: 1764777166076
+  run_exports: {}
+  size: 381179
+  timestamp: 1762512709971
 - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
   sha256: 368d8628424966fd8f9c8018326a9c779e06913dd39e646cf331226acc90e5b2
   md5: 053b84beec00b71ea8ff7a4f84b55207
@@ -32757,5 +45931,119 @@ packages:
   - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
+  run_exports:
+    weak:
+    - zstd >=1.5.7,<1.6.0a0
   size: 388453
   timestamp: 1764777142545
+- conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.2-py312_0.conda
+  sha256: 77be05ce932373efe674d0bb31690d4a03d15d19f7880218bfe9d1030e6da486
+  md5: 732df74126bc3cc24b6564899df74f23
+  depends:
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  license: PROPRIETARY
+  size: 48125269
+  timestamp: 1777597181837
+- conda: https://conda.anaconda.org/gurobi/linux-64/gurobi-13.0.2-py314_0.conda
+  sha256: db29f555e2f0f670a0ace6cdfa1b5cdfb46842c8f2f3e9c1b2650a97c90281c3
+  md5: 2ab17c05b5d4801e35d8482b87fe0b3a
+  depends:
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  license: PROPRIETARY
+  size: 48046270
+  timestamp: 1777597878964
+- conda: https://conda.anaconda.org/gurobi/osx-64/gurobi-13.0.2-py313_0.conda
+  sha256: b3b378465c090ed666576da4de3dc02cdb66c1bb8ecd3f17bdfd92ef39bcb2b9
+  md5: 648a03b9ed4568deaf050b65cb8f2d49
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: PROPRIETARY
+  size: 48565775
+  timestamp: 1777593698732
+- conda: https://conda.anaconda.org/gurobi/osx-64/gurobi-13.0.2-py314_0.conda
+  sha256: c460685054cb4f07a7f5625d12496809ab088989c0c95002a2ac5e1176dcb901
+  md5: 6c109a8093ff090d0f2f5e246eb1d964
+  depends:
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  license: PROPRIETARY
+  size: 48551569
+  timestamp: 1777594131676
+- conda: https://conda.anaconda.org/gurobi/osx-arm64/gurobi-13.0.2-py313_0.conda
+  sha256: fe40517985fabae359f5c227b97fe2d1433d24828a116fb96dc6017478087356
+  md5: 4d70454a9fbc7e6859e998dc40271fde
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: PROPRIETARY
+  size: 44303765
+  timestamp: 1777595570777
+- conda: https://conda.anaconda.org/gurobi/osx-arm64/gurobi-13.0.2-py314_0.conda
+  sha256: 73f55187669399e187a34bdda1e32288cf932d51eb062d0255b1782811a0b883
+  md5: 14e339ba82d7afb1f1ac8c840ef764b5
+  depends:
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  license: PROPRIETARY
+  size: 44153074
+  timestamp: 1777595753757
+- conda: https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py313_0.conda
+  sha256: 44b3e914f351e1778a64ced7ec8efbd9ef85474f6393d3cfe14a19df37c7f3b8
+  md5: c3c73feb63dc1411a37f5e4a7e3daab3
+  depends:
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
+  license: PROPRIETARY
+  size: 44171021
+  timestamp: 1777594088427
+- conda: https://conda.anaconda.org/gurobi/win-64/gurobi-13.0.2-py314_0.conda
+  sha256: 742e657f1b885240718b8446ab89bdb696bb1b0eb3400cc7f492bb94210fde93
+  md5: 7fdff7b55326f22c88c59b31911e68a1
+  depends:
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  license: PROPRIETARY
+  size: 44115662
+  timestamp: 1777594590775
+- conda: https://repo.prefix.dev/open-tyndp/noarch/snakemake-minimal-9.16.2+opentyndp-py_0.conda
+  sha256: 4eb4b4ef561e211bfc6732d2c08c59dd2901adc182daa982517d23d74d53b44c
+  depends:
+  - appdirs
+  - conda-inject >=1.3.1,<2.0
+  - configargparse
+  - connection_pool >=0.0.3
+  - docutils
+  - dpath >=2.1.6,<3.0.0
+  - gitpython
+  - humanfriendly
+  - immutables
+  - jinja2 >=3.0,<4.0
+  - jsonschema
+  - nbformat
+  - packaging >=24.0
+  - psutil
+  - python >=3.11,<3.14
+  - pyyaml
+  - requests >=2.8.1,<3.0
+  - reretry
+  - smart_open >=4.0,<8.0
+  - snakemake-interface-common >=1.20.1,<2.0
+  - snakemake-interface-executor-plugins >=9.3.2,<10.0
+  - snakemake-interface-logger-plugins >=1.1.0,<3.0.0
+  - snakemake-interface-report-plugins >=1.2.0,<2.0.0
+  - snakemake-interface-scheduler-plugins >=2.0.0,<3.0.0
+  - snakemake-interface-storage-plugins >=4.1.0,<5.0
+  - tabulate
+  - throttler
+  - wrapt
+  - yte >=1.5.5,<2.0
+  license: MIT
+  license_family: MIT
+  run_exports:
+    weak:
+    - snakemake-minimal >=9.16.2+opentyndp,<10.0a0
+  size: 866832
+  timestamp: 1769805915463
diff --git a/pixi.toml b/pixi.toml
index 8bb2276cd0..3080c56d2e 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -9,6 +9,7 @@ channels = ["conda-forge", "bioconda", "gurobi", "https://repo.prefix.dev/open-t
 name = "pypsa-eur"
 platforms = ["win-64", "linux-64", "osx-64", "osx-arm64"]
 version = "v0.7.1"
+exclude-newer = "7d"
 
 [target.win-64.activation.env]
 
@@ -37,15 +38,24 @@ logs, resources, benchmarks, results, and .snakemake directories except \
 """
 
 update-dags = """
-	dot -c && \
-	snakemake results/networks/base_s_128_elec_.nc -F --dag | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/intro-workflow.png && \
-	snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tpng -o doc/img/workflow.png
+	snakemake results/networks/base_s_128_elec_.nc -F --dag | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/intro-workflow.svg && \
+	snakemake --rulegraph -F | sed -n "/digraph/,/}/p" | dot -Tsvg -o doc/img/workflow.svg && \
+	snakemake --dag --configfile config/test/config.electricity.yaml | sed -n '/^digraph/,$ p' | dot -Tsvg -o doc/img/dag_electricity.svg && \
+	snakemake --dag --configfile config/test/config.overnight.yaml | sed -n '/^digraph/,$ p' | dot -Tsvg -o doc/img/dag_overnight.svg && \
+	snakemake --dag --configfile config/test/config.myopic.yaml | sed -n '/^digraph/,$ p' | dot -Tsvg -o doc/img/dag_myopic.svg
 """
 
 generate-config = "python -c 'from scripts.lib.validation.config import generate_config_defaults, generate_config_schema; generate_config_defaults(); generate_config_schema()'"
 
+sync-locks = """
+    pixi install -e default && \
+    pixi workspace export conda-explicit-spec -e default envs && \
+    bash -c 'for f in envs/*_conda_spec*; do mv "$f" "${f/_conda_spec/.pin}"; done' && \
+    pixi workspace export conda-environment -e default envs/environment.yaml -n pypsa-eur
+"""
+
 [dependencies]
-atlite = ">=0.3, <0.5"  # remove <0.5 when fixed upstream
+atlite = ">=0.3,!=0.5.0"
 bokeh = ">=3.8.0"
 cartopy = ">=0.25.0"
 copernicusmarine = ">=2.2.4"
@@ -64,34 +74,31 @@ gurobi = ">=12.0.3"
 highspy = ">=1.12.0"
 ipython = ">=9.7.0"
 jpype1 = ">=1.6.0"
-jupyter = ">=1.1.1"
 libgdal-netcdf = ">=3.10.3"
-linopy = ">=0.6.1,<0.7.0"
+linopy = ">=0.6.1,<0.7.0"  # remove <0.7.0 with pypsa >= 1.2.2
 lxml = ">=6.0.2"
 matplotlib = ">=3.10.7"
 memory_profiler = ">=0.61.0"
 netcdf4 = ">=1.7.2,!=1.7.4"
 networkx = ">=3.5"
-numpy = ">=1.26.4,<2"
+numpy = ">=1.26.4"
 openpyxl = ">=3.1.5"
 pandas = ">=2.1"
 plotly = ">=6.4.0"
 powerplantmatching = ">=0.5.15"
 pydantic = ">=2"
 python-dotenv = ">=1.0"
-pre-commit = ">=4.3.0"
 proj = ">=9.6.2"
-pylint = ">=4.0.2"
 pydeck = ">0.6"  # pypsa fails to import with pydeck <0.6, lower bound was only added from pypsa 1.0.6
-pypsa = ">=0.35.2"
+pypsa = "<1.2"
 pyscipopt = ">=5.6.0"
 pytables = ">=3.10.2"
 python = ">=3.10"
 pytz = ">=2025.2"
 pyxlsb = ">=1.0.10"
 rasterio = ">=1.4.3"
+rasterstats = ">=0.10.3"
 rioxarray = ">=0.20.0"
-ruff = ">=0.14.3"
 "ruamel.yaml" = ">=0.18.0"
 scipy = ">=1.16.3"
 seaborn = ">=0.13.2"
@@ -109,15 +116,22 @@ snakemake-storage-plugin-cached-http = ">=0.2.1"
 pandera = ">=0.28.1"
 natsort = ">=8.4.0"
 snakemake-logger-plugin-pypsa = ">=0.1.0"
-grpcio = "<1.78"   # remove after resolution of https://github.com/conda-forge/grpc-cpp-feedstock/issues/422 
 pydeflate = ">=2.3.4"
+grpcio = "<1.78"
+snakemake-logger-plugin-snkmt = "==0.1.6" # For better pypsa-app integration
 
 [target.unix.dependencies]
 snakemake-executor-plugin-slurm = ">=1.9.2"
 
+[feature.dev.dependencies]
+pre-commit = ">=4.3.0"
+pylint = ">=4.0.2"
+ruff = ">=0.14.3"
+jupyter = ">=1.1.1"
+
 [feature.doc.tasks.build-docs]
-args = ["dir", {"arg" = "output", "default" = "html"}]
-cmd = "dot -c && sphinx-build -T -b {{ output }} doc {{ dir }}/{{ output }} "
+cmd = "mkdocs build -d {{ dir }}/html"
+args = ["dir"]
 
 [feature.doc.dependencies]
 atlite = "==0.4.1"
@@ -128,7 +142,15 @@ fiona = "==1.10.1"
 graphviz = "==13.1.2"
 matplotlib = "==3.10.7"
 memory_profiler = "==0.61.0"
-myst-parser = "==4.0.1"
+mkdocs = ">=1.6"
+mkdocs-material = ">=9.5"
+mkdocstrings = ">=0.29"
+mkdocstrings-python = ">=1.16"
+mkdocs-bibtex = ">=2.16"
+pymdown-extensions = ">=10.0"
+mkdocs-macros-plugin = ">=1.0"
+mkdocs-table-reader-plugin = ">=3.1"
+snakemake-minimal = ">=9"
 powerplantmatching = "==0.7.1"
 pydot = "==4.0.1"
 pypsa = "==1.0.3"
@@ -138,11 +160,6 @@ pyyaml = "==6.0.3"
 requests = "==2.32.5"
 scikit-learn = "==1.7.2"
 seaborn = "==0.13.2"
-sphinx = "==8.2.3"
-sphinx-book-theme = "==1.1.4"
-sphinx-design = "==0.6.1"
-sphinx-jsonschema = "==1.19.2"
-sphinxcontrib-bibtex = "==2.6.5"
 tabula-py = "==2.7.0"
 tenacity = "==9.1.2"
 tsam = "==2.3.9"
@@ -191,7 +208,7 @@ tyndp-cyears-test = """bash -c '
 """
 create-tyndp-graphs = """
 	snakemake -call rulegraphs filegraphs --configfile config/config.tyndp.yaml
- """
+"""
 tyndp-sb = """
     snakemake -call --configfile config/config.tyndp.yaml
 """
@@ -203,15 +220,18 @@ tyndp-cba = """
 """
 launch-presolved-explorer = """
 	snakemake -call launch_presolved_explorer --configfile config/config.tyndp.yaml
- """
+"""
 close-explorers = """
 	snakemake -call close_explorers --configfile config/config.tyndp.yaml
- """
+"""
 clean-tyndp = """
      snakemake -call --configfile config/test/config.tyndp.yaml --delete-all-output ;
+     snakemake -call cba --configfile config/test/config.tyndp.yaml --delete-all-output ;
+     snakemake -call --configfile config/test/config.cyears.yaml --delete-all-output ;
      snakemake -call --configfile config/config.tyndp.yaml --delete-all-output ;
+     snakemake -call cba --configfile config/config.tyndp.yaml --delete-all-output ;
      echo "All tyndp outputs have been cleaned up."
- """
+"""
 all-tests = {depends-on = ["tyndp-sb-test", "tyndp-cba-test", "clean-tyndp", "integration-tests", "clean-tests", "unit-tests"]}
 
 [feature.open-tyndp.dependencies]
@@ -227,5 +247,6 @@ git = ">=2.52.0"
 
 [environments]
 doc = { features = ["doc"], no-default-feature = true }
-test = ["test"]
+test = ["test", "dev"]
+dev = ["dev"]
 open-tyndp = ["open-tyndp", "test"]  # for ease, we include test deps in our working environment
diff --git a/results/.gitkeep b/results/.gitkeep
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/rules/build_electricity.smk b/rules/build_electricity.smk
index b6f3ff86f9..93d1ea3a56 100755
--- a/rules/build_electricity.smk
+++ b/rules/build_electricity.smk
@@ -15,13 +15,6 @@ def input_elec_demand(w):
 
 
 rule build_electricity_demand:
-    message:
-        "Building electricity demand time series"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        countries=config_provider("countries"),
-        load=config_provider("load"),
     input:
         unpack(input_elec_demand),
         opsd=rules.retrieve_electricity_demand_opsd.output["csv"],
@@ -35,18 +28,18 @@ rule build_electricity_demand:
         benchmarks("performances/build_electricity_demand")
     resources:
         mem_mb=5000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        countries=config_provider("countries"),
+        load=config_provider("load"),
+    message:
+        "Building electricity demand time series"
     script:
         scripts("build_electricity_demand.py")
 
 
 rule build_powerplants:
-    message:
-        "Building powerplant list for {wildcards.clusters} clusters"
-    params:
-        powerplants_filter=config_provider("electricity", "powerplants_filter"),
-        custom_powerplants=config_provider("electricity", "custom_powerplants"),
-        everywhere_powerplants=config_provider("electricity", "everywhere_powerplants"),
-        countries=config_provider("countries"),
     input:
         network=resources("networks/base_s_{clusters}.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -62,6 +55,13 @@ rule build_powerplants:
     threads: 1
     resources:
         mem_mb=7000,
+    params:
+        powerplants_filter=config_provider("electricity", "powerplants_filter"),
+        custom_powerplants=config_provider("electricity", "custom_powerplants"),
+        everywhere_powerplants=config_provider("electricity", "everywhere_powerplants"),
+        countries=config_provider("countries"),
+    message:
+        "Building powerplant list for {wildcards.clusters} clusters"
     script:
         scripts("build_powerplants.py")
 
@@ -85,17 +85,6 @@ def input_base_network(w):
 
 
 rule base_network:
-    message:
-        "Building base network"
-    params:
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        lines=config_provider("lines"),
-        links=config_provider("links"),
-        transformers=config_provider("transformers"),
-        clustering=config_provider("clustering", "mode"),
-        admin_levels=config_provider("clustering", "administrative"),
     input:
         unpack(input_base_network),
         nuts3_shapes=resources("nuts3_shapes.geojson"),
@@ -114,13 +103,22 @@ rule base_network:
     threads: 4
     resources:
         mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        lines=config_provider("lines"),
+        links=config_provider("links"),
+        transformers=config_provider("transformers"),
+        clustering=config_provider("clustering", "mode"),
+        admin_levels=config_provider("clustering", "administrative"),
+    message:
+        "Building base network"
     script:
         scripts("base_network.py")
 
 
 rule build_osm_boundaries:
-    message:
-        "Building OSM boundaries for {wildcards.country}"
     input:
         json=f"{OSM_BOUNDARIES_DATASET['folder']}/{{country}}_adm1.json",
         eez=ancient(rules.retrieve_eez.output["gpkg"]),
@@ -131,21 +129,13 @@ rule build_osm_boundaries:
     threads: 1
     resources:
         mem_mb=1500,
+    message:
+        "Building OSM boundaries for {wildcards.country}"
     script:
         scripts("build_osm_boundaries.py")
 
 
 rule build_bidding_zones:
-    message:
-        "Building bidding zones"
-    params:
-        countries=config_provider("countries"),
-        remove_islands=config_provider(
-            "clustering", "build_bidding_zones", "remove_islands"
-        ),
-        aggregate_to_tyndp=config_provider(
-            "clustering", "build_bidding_zones", "aggregate_to_tyndp"
-        ),
     input:
         bidding_zones_entsoepy=f"{BIDDING_ZONES_ENTSOEPY_DATASET['folder']}/bidding_zones_entsoepy.geojson",
         bidding_zones_electricitymaps=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET['folder']}/bidding_zones_electricitymaps.geojson",
@@ -156,16 +146,21 @@ rule build_bidding_zones:
     threads: 1
     resources:
         mem_mb=1500,
+    params:
+        countries=config_provider("countries"),
+        remove_islands=config_provider(
+            "clustering", "build_bidding_zones", "remove_islands"
+        ),
+        aggregate_to_tyndp=config_provider(
+            "clustering", "build_bidding_zones", "aggregate_to_tyndp"
+        ),
+    message:
+        "Building bidding zones"
     script:
         scripts("build_bidding_zones.py")
 
 
 rule build_shapes:
-    message:
-        "Building geographical shapes"
-    params:
-        config_provider("clustering", "mode"),
-        countries=config_provider("countries"),
     input:
         eez=ancient(rules.retrieve_eez.output["gpkg"]),
         nuts3_2021=rules.retrieve_eu_nuts_2021.output["shapes_level_3"],
@@ -194,6 +189,11 @@ rule build_shapes:
     threads: 1
     resources:
         mem_mb=1500,
+    params:
+        config_provider("clustering", "mode"),
+        countries=config_provider("countries"),
+    message:
+        "Building geographical shapes"
     script:
         scripts("build_shapes.py")
 
@@ -201,10 +201,6 @@ rule build_shapes:
 if CUTOUT_DATASET["source"] in ["build"]:
 
     rule build_cutout:
-        message:
-            "Building cutout data for {wildcards.cutout}"
-        params:
-            cutouts=config_provider("atlite", "cutouts"),
         output:
             cutout=CUTOUT_DATASET["folder"] / "{cutout}.nc",
         log:
@@ -214,13 +210,15 @@ if CUTOUT_DATASET["source"] in ["build"]:
         threads: config["atlite"].get("nprocesses", 4)
         resources:
             mem_mb=config["atlite"].get("nprocesses", 4) * 1000,
+        params:
+            cutouts=config_provider("atlite", "cutouts"),
+        message:
+            "Building cutout data for {wildcards.cutout}"
         script:
             scripts("build_cutout.py")
 
 
 rule build_ship_raster:
-    message:
-        "Building ship density raster"
     input:
         ship_density=rules.retrieve_ship_raster.output["zip_file"],
         cutout=lambda w: input_cutout(w),
@@ -228,19 +226,17 @@ rule build_ship_raster:
         resources("shipdensity_raster.tif"),
     log:
         logs("build_ship_raster.log"),
-    resources:
-        mem_mb=5000,
     benchmark:
         benchmarks("performances/build_ship_raster")
+    resources:
+        mem_mb=5000,
+    message:
+        "Building ship density raster"
     script:
         scripts("build_ship_raster.py")
 
 
 rule determine_availability_matrix_MD_UA:
-    message:
-        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
-    params:
-        renewable=config_provider("renewable"),
     input:
         copernicus=rules.download_copernicus_land_cover.output["tif"],
         wdpa=lambda w: (
@@ -274,8 +270,10 @@ rule determine_availability_matrix_MD_UA:
             w, config_provider("renewable", w.technology, "cutout")(w)
         ),
     output:
-        availability_matrix=resources(
-            "availability_matrix_MD-UA_{clusters}_{technology}.nc"
+        nc=resources("availability_matrix_MD-UA_{clusters}_{technology}.nc"),
+        plot=branch(
+            config["atlite"]["plot_availability_matrix"],
+            then=resources("availability_matrix_MD-UA_{clusters}_{technology}.png"),
         ),
     log:
         logs("determine_availability_matrix_MD_UA_{clusters}_{technology}.log"),
@@ -286,6 +284,11 @@ rule determine_availability_matrix_MD_UA:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 5000,
+    params:
+        renewable=config_provider("renewable"),
+        plot_availability_matrix=config_provider("atlite", "plot_availability_matrix"),
+    message:
+        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     script:
         scripts("determine_availability_matrix_MD_UA.py")
 
@@ -303,10 +306,6 @@ def input_ua_md_availability_matrix(w):
 
 
 rule determine_availability_matrix:
-    message:
-        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
-    params:
-        renewable=config_provider("renewable"),
     input:
         unpack(input_ua_md_availability_matrix),
         corine=ancient(rules.retrieve_corine.output["tif_file"]),
@@ -346,7 +345,11 @@ rule determine_availability_matrix:
             w, config_provider("renewable", w.technology, "cutout")(w)
         ),
     output:
-        resources("availability_matrix_{clusters}_{technology}.nc"),
+        nc=resources("availability_matrix_{clusters}_{technology}.nc"),
+        plot=branch(
+            config["atlite"]["plot_availability_matrix"],
+            then=resources("availability_matrix_{clusters}_{technology}.png"),
+        ),
     log:
         logs("determine_availability_matrix_{clusters}_{technology}.log"),
     benchmark:
@@ -354,17 +357,16 @@ rule determine_availability_matrix:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 5000,
+    params:
+        renewable=config_provider("renewable"),
+        plot_availability_matrix=config_provider("atlite", "plot_availability_matrix"),
+    message:
+        "Determining availability matrix for {wildcards.clusters} clusters and {wildcards.technology} technology"
     script:
         scripts("determine_availability_matrix.py")
 
 
 rule build_renewable_profiles:
-    message:
-        "Building renewable profiles for {wildcards.clusters} clusters and {wildcards.technology} technology"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        renewable=config_provider("renewable"),
     input:
         availability_matrix=resources("availability_matrix_{clusters}_{technology}.nc"),
         offshore_shapes=resources("offshore_shapes.geojson"),
@@ -384,20 +386,22 @@ rule build_renewable_profiles:
         logs("build_renewable_profile_{clusters}_{technology}.log"),
     benchmark:
         benchmarks("performances/build_renewable_profile_{clusters}_{technology}")
+    wildcard_constraints:
+        technology="(?!hydro).*",  # Any technology other than hydro
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 5000,
-    wildcard_constraints:
-        technology="(?!hydro).*",  # Any technology other than hydro
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        renewable=config_provider("renewable"),
+    message:
+        "Building renewable profiles for {wildcards.clusters} clusters and {wildcards.technology} technology"
     script:
         scripts("build_renewable_profiles.py")
 
 
 rule build_co2_prices:
-    message:
-        "Building CO2 price time series"
-    params:
-        rolling_window=config_provider("costs", "emission_prices", "rolling_window"),
     input:
         csv=rules.retrieve_co2_prices.output["csv"],
     output:
@@ -409,15 +413,15 @@ rule build_co2_prices:
     threads: 1
     resources:
         mem_mb=5000,
+    params:
+        rolling_window=config_provider("costs", "emission_prices", "rolling_window"),
+    message:
+        "Building CO2 price time series"
     script:
-        "../scripts/build_co2_prices.py"
+        scripts("build_co2_prices.py")
 
 
 rule build_fossil_fuel_prices:
-    message:
-        "Building fossil fuel price time series"
-    params:
-        rolling_window=config_provider("conventional", "fuel_price_rolling_window"),
     input:
         fuel_price_raw=rules.retrieve_worldbank_commodity_prices.output["xlsx"],
     output:
@@ -429,6 +433,10 @@ rule build_fossil_fuel_prices:
     threads: 1
     resources:
         mem_mb=5000,
+    params:
+        rolling_window=config_provider("conventional", "fuel_price_rolling_window"),
+    message:
+        "Building fossil fuel price time series"
     script:
         scripts("build_monthly_prices.py")
 
@@ -454,13 +462,6 @@ if COUNTRY_RUNOFF_DATASET["source"] == "build":
 
 
 rule build_hydro_profile:
-    message:
-        "Building hydropower profile"
-    params:
-        hydro=config_provider("renewable", "hydro"),
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         country_shapes=resources("country_shapes.geojson"),
         eia_hydro_generation="data/eia_hydro_annual_generation.csv",
@@ -477,16 +478,18 @@ rule build_hydro_profile:
         benchmarks("performances/build_hydro_profile")
     resources:
         mem_mb=5000,
+    params:
+        hydro=config_provider("renewable", "hydro"),
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building hydropower profile"
     script:
         scripts("build_hydro_profile.py")
 
 
 rule build_line_rating:
-    message:
-        "Building dynamic line ratings"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         base_network=resources("networks/base.nc"),
         cutout=lambda w: input_cutout(
@@ -501,17 +504,16 @@ rule build_line_rating:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=config["atlite"].get("nprocesses", 4) * 1000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building dynamic line ratings"
     script:
         scripts("build_line_rating.py")
 
 
 rule build_transmission_projects:
-    message:
-        "Building transmission projects"
-    params:
-        transmission_projects=config_provider("transmission_projects"),
-        line_factor=config_provider("lines", "length_factor"),
-        s_max_pu=config_provider("lines", "s_max_pu"),
     input:
         base_network=resources("networks/base.nc"),
         offshore_shapes=resources("offshore_shapes.geojson"),
@@ -533,20 +535,20 @@ rule build_transmission_projects:
         logs("build_transmission_projects.log"),
     benchmark:
         benchmarks("performances/build_transmission_projects")
+    threads: 1
     resources:
         mem_mb=4000,
-    threads: 1
+    params:
+        transmission_projects=config_provider("transmission_projects"),
+        line_factor=config_provider("lines", "length_factor"),
+        s_max_pu=config_provider("lines", "s_max_pu"),
+    message:
+        "Building transmission projects"
     script:
         scripts("build_transmission_projects.py")
 
 
 rule add_transmission_projects_and_dlr:
-    message:
-        "Adding transmission projects and dynamic line ratings"
-    params:
-        transmission_projects=config_provider("transmission_projects"),
-        dlr=config_provider("lines", "dynamic_line_rating"),
-        s_max_pu=config_provider("lines", "s_max_pu"),
     input:
         network=resources("networks/base.nc"),
         dlr=lambda w: (
@@ -574,6 +576,12 @@ rule add_transmission_projects_and_dlr:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        transmission_projects=config_provider("transmission_projects"),
+        dlr=config_provider("lines", "dynamic_line_rating"),
+        s_max_pu=config_provider("lines", "s_max_pu"),
+    message:
+        "Adding transmission projects and dynamic line ratings"
     script:
         scripts("add_transmission_projects_and_dlr.py")
 
@@ -592,18 +600,16 @@ def input_elec_demand_base(w):
     return {
         "base_network": resources("networks/base_s.nc"),
         "regions": resources("regions_onshore_base_s.geojson"),
-        "nuts3": resources("nuts3_shapes.geojson"),
     }
 
 
 rule build_electricity_demand_base:
-    message:
-        "Building electricity demand time series for base network"
-    params:
-        distribution_key=config_provider("load", "distribution_key"),
-        load_source=config_provider("load", "source"),
     input:
         unpack(input_elec_demand_base),
+        raster=rules.retrieve_electricity_demand_energy_atlas.output["tif"],
+        gb_excel=rules.retrieve_desnz_electricity_consumption.output["xlsx"],
+        gb_geojson=rules.retrieve_ons_lad.output["geojson"],
+        nuts3=resources("nuts3_shapes.geojson"),
         load=resources("electricity_demand.csv"),
     output:
         resources("electricity_demand_base_s.nc"),
@@ -613,17 +619,17 @@ rule build_electricity_demand_base:
         benchmarks("performances/build_electricity_demand_base_s")
     resources:
         mem_mb=5000,
+    params:
+        distribution_key=config_provider("load", "distribution_key"),
+        substation_only=config_provider("load", "substation_only"),
+        load_source=config_provider("load", "source"),
+    message:
+        "Building electricity demand time series for base network"
     script:
         scripts("build_electricity_demand_base.py")
 
 
 rule build_hac_features:
-    message:
-        "Aggregate all rastered cutout data to base regions Voronoi cells."
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        features=config_provider("clustering", "cluster_network", "hac_features"),
     input:
         cutout=lambda w: input_cutout(w),
         regions=resources("regions_onshore_base_s.geojson"),
@@ -636,18 +642,17 @@ rule build_hac_features:
     threads: config["atlite"].get("nprocesses", 4)
     resources:
         mem_mb=10000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        features=config_provider("clustering", "cluster_network", "hac_features"),
+    message:
+        "Aggregate all rastered cutout data to base regions Voronoi cells."
     script:
         scripts("build_hac_features.py")
 
 
 rule process_cost_data:
-    params:
-        costs=config_provider("costs"),
-        max_hours=config_provider("electricity", "max_hours"),
-        group_tyndp_conventionals=config_provider(
-            "electricity", "group_tyndp_conventionals"
-        ),
-        custom_cost_scn=config_provider("costs", "custom_cost_scn"),
     input:
         network=resources("networks/base_s.nc"),
         costs=rules.retrieve_cost_data.output["costs"],
@@ -662,24 +667,18 @@ rule process_cost_data:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        costs=config_provider("costs"),
+        max_hours=config_provider("electricity", "max_hours"),
+        group_tyndp_conventionals=config_provider(
+            "electricity", "group_tyndp_conventionals"
+        ),
+        custom_cost_scn=config_provider("costs", "custom_cost_scn"),
     script:
         scripts("process_cost_data.py")
 
 
 rule simplify_network:
-    message:
-        "Simplifying network"
-    params:
-        countries=config_provider("countries"),
-        mode=config_provider("clustering", "mode"),
-        administrative=config_provider("clustering", "administrative"),
-        simplify_network=config_provider("clustering", "simplify_network"),
-        cluster_network=config_provider("clustering", "cluster_network"),
-        aggregation_strategies=config_provider(
-            "clustering", "aggregation_strategies", default={}
-        ),
-        p_max_pu=config_provider("links", "p_max_pu", default=1.0),
-        p_min_pu=config_provider("links", "p_min_pu", default=-1.0),
     input:
         network=resources("networks/base_extended.nc"),
         regions_onshore=resources("regions_onshore.geojson"),
@@ -697,6 +696,19 @@ rule simplify_network:
     threads: 1
     resources:
         mem_mb=12000,
+    params:
+        countries=config_provider("countries"),
+        mode=config_provider("clustering", "mode"),
+        administrative=config_provider("clustering", "administrative"),
+        simplify_network=config_provider("clustering", "simplify_network"),
+        cluster_network=config_provider("clustering", "cluster_network"),
+        aggregation_strategies=config_provider(
+            "clustering", "aggregation_strategies", default={}
+        ),
+        p_max_pu=config_provider("links", "p_max_pu", default=1.0),
+        p_min_pu=config_provider("links", "p_min_pu", default=-1.0),
+    message:
+        "Simplifying network"
     script:
         scripts("simplify_network.py")
 
@@ -724,26 +736,6 @@ def input_custom_busmap(w):
 
 
 rule cluster_network:
-    message:
-        "Clustering network to {wildcards.clusters} clusters"
-    params:
-        countries=config_provider("countries"),
-        mode=config_provider("clustering", "mode"),
-        administrative=config_provider("clustering", "administrative"),
-        cluster_network=config_provider("clustering", "cluster_network"),
-        aggregation_strategies=config_provider(
-            "clustering", "aggregation_strategies", default={}
-        ),
-        focus_weights=config_provider("clustering", "focus_weights", default=None),
-        renewable_carriers=config_provider("electricity", "renewable_carriers"),
-        conventional_carriers=config_provider(
-            "electricity", "conventional_carriers", default=[]
-        ),
-        max_hours=config_provider("electricity", "max_hours"),
-        length_factor=config_provider("lines", "length_factor"),
-        cluster_mode=config_provider("clustering", "mode"),
-        copperplate_regions=config_provider("clustering", "copperplate_regions"),
-        load_source=config_provider("load", "source"),
     input:
         unpack(input_custom_busmap),
         network=resources("networks/base_s.nc"),
@@ -779,6 +771,26 @@ rule cluster_network:
     threads: 1
     resources:
         mem_mb=10000,
+    params:
+        countries=config_provider("countries"),
+        mode=config_provider("clustering", "mode"),
+        administrative=config_provider("clustering", "administrative"),
+        cluster_network=config_provider("clustering", "cluster_network"),
+        aggregation_strategies=config_provider(
+            "clustering", "aggregation_strategies", default={}
+        ),
+        focus_weights=config_provider("clustering", "focus_weights", default=None),
+        renewable_carriers=config_provider("electricity", "renewable_carriers"),
+        conventional_carriers=config_provider(
+            "electricity", "conventional_carriers", default=[]
+        ),
+        max_hours=config_provider("electricity", "max_hours"),
+        length_factor=config_provider("lines", "length_factor"),
+        cluster_mode=config_provider("clustering", "mode"),
+        copperplate_regions=config_provider("clustering", "copperplate_regions"),
+        load_source=config_provider("load", "source"),
+    message:
+        "Clustering network to {wildcards.clusters} clusters"
     script:
         scripts("cluster_network.py")
 
@@ -795,25 +807,6 @@ def input_profile_tech(w):
 
 
 rule add_electricity:
-    message:
-        "Adding electricity to network with {wildcards.clusters} clusters"
-    params:
-        line_length_factor=config_provider("lines", "length_factor"),
-        link_length_factor=config_provider("links", "length_factor"),
-        scaling_factor=config_provider("load", "scaling_factor"),
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        renewable=config_provider("renewable"),
-        electricity=config_provider("electricity"),
-        conventional=config_provider("conventional"),
-        foresight=config_provider("foresight"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        consider_efficiency_classes=config_provider(
-            "clustering", "consider_efficiency_classes"
-        ),
-        aggregation_strategies=config_provider("clustering", "aggregation_strategies"),
-        exclude_carriers=config_provider("clustering", "exclude_carriers"),
-        load_source=config_provider("load", "source"),
     input:
         unpack(input_profile_tech),
         unpack(input_class_regions),
@@ -846,27 +839,30 @@ rule add_electricity:
     threads: 1
     resources:
         mem_mb=10000,
+    params:
+        line_length_factor=config_provider("lines", "length_factor"),
+        link_length_factor=config_provider("links", "length_factor"),
+        scaling_factor=config_provider("load", "scaling_factor"),
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        renewable=config_provider("renewable"),
+        electricity=config_provider("electricity"),
+        conventional=config_provider("conventional"),
+        foresight=config_provider("foresight"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        consider_efficiency_classes=config_provider(
+            "clustering", "consider_efficiency_classes"
+        ),
+        aggregation_strategies=config_provider("clustering", "aggregation_strategies"),
+        exclude_carriers=config_provider("clustering", "exclude_carriers"),
+        load_source=config_provider("load", "source"),
+    message:
+        "Adding electricity to network with {wildcards.clusters} clusters"
     script:
         scripts("add_electricity.py")
 
 
 rule prepare_network:
-    message:
-        "Preparing network for model with {wildcards.clusters} clusters and options {wildcards.opts}"
-    params:
-        time_resolution=config_provider("clustering", "temporal", "resolution_elec"),
-        links=config_provider("links"),
-        lines=config_provider("lines"),
-        co2base=config_provider("electricity", "co2base"),
-        co2limit_enable=config_provider("electricity", "co2limit_enable", default=False),
-        co2limit=config_provider("electricity", "co2limit"),
-        gaslimit_enable=config_provider("electricity", "gaslimit_enable", default=False),
-        gaslimit=config_provider("electricity", "gaslimit"),
-        emission_prices=config_provider("costs", "emission_prices"),
-        adjustments=config_provider("adjustments", "electricity"),
-        autarky=config_provider("electricity", "autarky", default={}),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        transmission_limit=config_provider("electricity", "transmission_limit"),
     input:
         resources("networks/base_s_{clusters}_elec.nc"),
         costs=lambda w: resources(
@@ -886,15 +882,27 @@ rule prepare_network:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        time_resolution=config_provider("clustering", "temporal", "resolution_elec"),
+        links=config_provider("links"),
+        lines=config_provider("lines"),
+        co2base=config_provider("electricity", "co2base"),
+        co2limit_enable=config_provider("electricity", "co2limit_enable", default=False),
+        co2limit=config_provider("electricity", "co2limit"),
+        gaslimit_enable=config_provider("electricity", "gaslimit_enable", default=False),
+        gaslimit=config_provider("electricity", "gaslimit"),
+        emission_prices=config_provider("costs", "emission_prices"),
+        adjustments=config_provider("adjustments", "electricity"),
+        autarky=config_provider("electricity", "autarky", default={}),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        transmission_limit=config_provider("electricity", "transmission_limit"),
+    message:
+        "Preparing network for model with {wildcards.clusters} clusters and options {wildcards.opts}"
     script:
         scripts("prepare_network.py")
 
 
 rule clean_osm_data:
-    message:
-        "Cleaning raw OSM data for countries: " + ", ".join(config["countries"])
-    params:
-        voltages=config_provider("electricity", "voltages"),
     input:
         cables_way=expand(
             f"{OSM_DATASET['folder']}/{{country}}/cables_way.json",
@@ -933,19 +941,15 @@ rule clean_osm_data:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        voltages=config_provider("electricity", "voltages"),
+    message:
+        "Cleaning raw OSM data for countries: " + ", ".join(config["countries"])
     script:
-        "../scripts/clean_osm_data.py"
+        scripts("clean_osm_data.py")
 
 
 rule build_osm_network:
-    message:
-        "Building OSM network"
-    params:
-        countries=config_provider("countries"),
-        voltages=config_provider("electricity", "voltages"),
-        line_types=config_provider("lines", "types"),
-        under_construction=config_provider("osm_network_release", "under_construction"),
-        remove_after=config_provider("osm_network_release", "remove_after"),
     input:
         substations=resources(f"osm/clean/substations.geojson"),
         substations_polygon=resources(f"osm/clean/substations_polygon.geojson"),
@@ -975,15 +979,19 @@ rule build_osm_network:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        countries=config_provider("countries"),
+        voltages=config_provider("electricity", "voltages"),
+        line_types=config_provider("lines", "types"),
+        under_construction=config_provider("osm_network_release", "under_construction"),
+        remove_after=config_provider("osm_network_release", "remove_after"),
+    message:
+        "Building OSM network"
     script:
-        "../scripts/build_osm_network.py"
+        scripts("build_osm_network.py")
 
 
 rule build_tyndp_network:
-    message:
-        "Building TYNDP network"
-    params:
-        countries=config_provider("countries"),
     input:
         elec_reference_grid=rules.retrieve_tyndp.output.elec_reference_grid,
         buses=rules.retrieve_tyndp.output.nodes,
@@ -1008,5 +1016,9 @@ rule build_tyndp_network:
     threads: 1
     resources:
         mem_mb=4000,
+    params:
+        countries=config_provider("countries"),
+    message:
+        "Building TYNDP network"
     script:
         scripts("build_tyndp_network.py")
diff --git a/rules/build_sector.smk b/rules/build_sector.smk
index 5a3734cc9f..d6458675a8 100755
--- a/rules/build_sector.smk
+++ b/rules/build_sector.smk
@@ -7,8 +7,6 @@ from scripts._helpers import safe_pyear
 
 
 rule build_population_layouts:
-    message:
-        "Building population layout data (total, urban, rural) from NUTS3 shapes and World Bank statistics"
     input:
         nuts3_shapes=resources("nuts3_shapes.geojson"),
         urban_percent=rules.retrieve_worldbank_urban_population.output["csv"],
@@ -19,18 +17,18 @@ rule build_population_layouts:
         pop_layout_rural=resources("pop_layout_rural.nc"),
     log:
         logs("build_population_layouts.log"),
-    resources:
-        mem_mb=20000,
     benchmark:
         benchmarks("performances/build_population_layouts")
     threads: 8
+    resources:
+        mem_mb=20000,
+    message:
+        "Building population layout data (total, urban, rural) from NUTS3 shapes and World Bank statistics"
     script:
         scripts("build_population_layouts.py")
 
 
 rule build_clustered_population_layouts:
-    message:
-        "Clustering population layouts for {wildcards.clusters} clusters"
     input:
         pop_layout_total=resources("pop_layout_total.nc"),
         pop_layout_urban=resources("pop_layout_urban.nc"),
@@ -45,17 +43,17 @@ rule build_clustered_population_layouts:
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
     log:
         logs("build_clustered_population_layouts_s_{clusters}.log"),
-    resources:
-        mem_mb=10000,
     benchmark:
         benchmarks("performances/build_clustered_population_layouts/s_{clusters}")
+    resources:
+        mem_mb=10000,
+    message:
+        "Clustering population layouts for {wildcards.clusters} clusters"
     script:
         scripts("build_clustered_population_layouts.py")
 
 
 rule build_clustered_solar_rooftop_potentials:
-    message:
-        "Building solar rooftop potentials for {wildcards.clusters} clusters"
     input:
         pop_layout=resources("pop_layout_total.nc"),
         class_regions=resources("regions_by_class_{clusters}_solar.geojson"),
@@ -64,17 +62,17 @@ rule build_clustered_solar_rooftop_potentials:
         potentials=resources("solar_rooftop_potentials_s_{clusters}.csv"),
     log:
         logs("build_clustered_solar_rooftop_potentials_s_{clusters}.log"),
-    resources:
-        mem_mb=10000,
     benchmark:
         benchmarks("performances/build_clustered_solar_rooftop_potentials/s_{clusters}")
+    resources:
+        mem_mb=10000,
+    message:
+        "Building solar rooftop potentials for {wildcards.clusters} clusters"
     script:
         scripts("build_clustered_solar_rooftop_potentials.py")
 
 
 rule build_simplified_population_layouts:
-    message:
-        "Building simplified population layouts for base scenario"
     input:
         pop_layout_total=resources("pop_layout_total.nc"),
         pop_layout_urban=resources("pop_layout_urban.nc"),
@@ -83,36 +81,36 @@ rule build_simplified_population_layouts:
         cutout=lambda w: input_cutout(w),
     output:
         clustered_pop_layout=resources("pop_layout_base_s.csv"),
-    resources:
-        mem_mb=10000,
     log:
         logs("build_simplified_population_layouts_s"),
     benchmark:
         benchmarks("performances/build_simplified_population_layouts/s")
+    resources:
+        mem_mb=10000,
+    message:
+        "Building simplified population layouts for base scenario"
     script:
         scripts("build_clustered_population_layouts.py")
 
 
 rule build_gas_network:
-    message:
-        "Building cleaned gas network from SciGRID-Gas data"
     input:
         gas_network=rules.retrieve_gas_infrastructure_data.output["gas_network"],
     output:
         cleaned_gas_network=resources("gas_network.csv"),
-    resources:
-        mem_mb=4000,
     log:
         logs("build_gas_network.log"),
     benchmark:
         benchmarks("performances/build_gas_network")
+    resources:
+        mem_mb=4000,
+    message:
+        "Building cleaned gas network from SciGRID-Gas data"
     script:
         scripts("build_gas_network.py")
 
 
 rule build_gas_input_locations:
-    message:
-        "Building gas input locations for {wildcards.clusters} clusters"
     input:
         gem="data/gem/Europe-Gas-Tracker-2024-05.xlsx",
         entry=rules.retrieve_gas_infrastructure_data.output["entry"],
@@ -124,41 +122,38 @@ rule build_gas_input_locations:
         gas_input_nodes_simplified=resources(
             "gas_input_locations_s_{clusters}_simplified.csv"
         ),
-    resources:
-        mem_mb=2000,
     log:
         logs("build_gas_input_locations_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_gas_input_locations/s_{clusters}")
+    resources:
+        mem_mb=2000,
+    message:
+        "Building gas input locations for {wildcards.clusters} clusters"
     script:
         scripts("build_gas_input_locations.py")
 
 
 rule cluster_gas_network:
-    message:
-        "Clustering gas network for {wildcards.clusters} clusters"
     input:
         cleaned_gas_network=resources("gas_network.csv"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         regions_offshore=resources("regions_offshore_base_s_{clusters}.geojson"),
     output:
         clustered_gas_network=resources("gas_network_base_s_{clusters}.csv"),
-    resources:
-        mem_mb=4000,
     log:
         logs("cluster_gas_network_{clusters}.log"),
     benchmark:
         benchmarks("performances/cluster_gas_network/s_{clusters}")
+    resources:
+        mem_mb=4000,
+    message:
+        "Clustering gas network for {wildcards.clusters} clusters"
     script:
         scripts("cluster_gas_network.py")
 
 
 rule build_daily_heat_demand:
-    message:
-        "Building daily heat demand profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         pop_layout=resources("pop_layout_total.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -167,24 +162,23 @@ rule build_daily_heat_demand:
         ),
     output:
         heat_demand=resources("daily_heat_demand_total_base_s_{clusters}.nc"),
-    resources:
-        mem_mb=20000,
-    threads: 8
     log:
         logs("build_daily_heat_demand_total_s_{clusters}.loc"),
     benchmark:
         benchmarks("performances/build_daily_heat_demand/total_s_{clusters}")
+    threads: 8
+    resources:
+        mem_mb=20000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building daily heat demand profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_daily_heat_demand.py")
 
 
 rule build_hourly_heat_demand:
-    message:
-        "Building hourly heat demand profiles from daily demand for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        sector=config_provider("sector"),
     input:
         heat_profile="data/heat_load_profile_BDEW.csv",
         heat_demand=resources("daily_heat_demand_total_base_s_{clusters}.nc"),
@@ -193,23 +187,24 @@ rule build_hourly_heat_demand:
         heat_dsm_profile=resources(
             "residential_heat_dsm_profile_total_base_s_{clusters}.csv"
         ),
-    resources:
-        mem_mb=2000,
-    threads: 8
     log:
         logs("build_hourly_heat_demand_total_s_{clusters}.loc"),
     benchmark:
         benchmarks("performances/build_hourly_heat_demand/total_s_{clusters}")
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        sector=config_provider("sector"),
+    message:
+        "Building hourly heat demand profiles from daily demand for {wildcards.clusters} clusters"
     script:
         scripts("build_hourly_heat_demand.py")
 
 
 rule build_temperature_profiles:
-    message:
-        "Building temperature profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         pop_layout=resources("pop_layout_total.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -219,20 +214,43 @@ rule build_temperature_profiles:
     output:
         temp_soil=resources("temp_soil_total_base_s_{clusters}.nc"),
         temp_air=resources("temp_air_total_base_s_{clusters}.nc"),
-    resources:
-        mem_mb=20000,
-    threads: 8
     log:
         logs("build_temperature_profiles_total_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_temperature_profiles/total_{clusters}")
+    threads: 8
+    resources:
+        mem_mb=20000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building temperature profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_temperature_profiles.py")
 
 
 rule build_central_heating_temperature_profiles:
-    message:
-        "Building central heating temperature profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
+    input:
+        temp_air_total=resources("temp_air_total_base_s_{clusters}.nc"),
+        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
+    output:
+        central_heating_forward_temperature_profiles=resources(
+            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
+        central_heating_return_temperature_profiles=resources(
+            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
+    log:
+        logs(
+            "build_central_heating_temperature_profiles_s_{clusters}_{planning_horizons}.log"
+        ),
+    benchmark:
+        benchmarks(
+            "performances/build_central_heating_temperature_profiles/s_{clusters}_{planning_horizons}"
+        )
+    resources:
+        mem_mb=20000,
     params:
         max_forward_temperature_central_heating_baseyear=config_provider(
             "sector",
@@ -279,54 +297,50 @@ rule build_central_heating_temperature_profiles:
             "relative_annual_temperature_reduction",
         ),
         energy_totals_year=config_provider("energy", "energy_totals_year"),
-    input:
-        temp_air_total=resources("temp_air_total_base_s_{clusters}.nc"),
-        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
-    output:
-        central_heating_forward_temperature_profiles=resources(
-            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-        central_heating_return_temperature_profiles=resources(
-            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-    resources:
-        mem_mb=20000,
-    log:
-        logs(
-            "build_central_heating_temperature_profiles_s_{clusters}_{planning_horizons}.log"
-        ),
-    benchmark:
-        benchmarks(
-            "performances/build_central_heating_temperature_profiles/s_{clusters}_{planning_horizons}"
-        )
+    message:
+        "Building central heating temperature profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_central_heating_temperature_profiles/run.py")
 
 
 rule build_dh_areas:
-    params:
-        handle_missing_countries=config_provider(
-            "sector", "district_heating", "dh_areas", "handle_missing_countries"
-        ),
-        countries=config_provider("countries"),
     input:
         dh_areas=rules.retrieve_dh_areas.output["dh_areas"],
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
     output:
         dh_areas=resources("dh_areas_base_s_{clusters}.geojson"),
-    resources:
-        mem_mb=2000,
     log:
         logs("build_dh_areas_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_dh_areas_s/s_{clusters}")
+    resources:
+        mem_mb=2000,
+    params:
+        handle_missing_countries=config_provider(
+            "sector", "district_heating", "dh_areas", "handle_missing_countries"
+        ),
+        countries=config_provider("countries"),
     script:
         scripts("build_dh_areas.py")
 
 
 rule build_geothermal_heat_potential:
-    message:
-        "Building geothermal heat potential estimates for {wildcards.clusters} clusters"
+    input:
+        isi_heat_potentials=rules.retrieve_geothermal_heat_utilisation_potentials.output[
+            "isi_heat_potentials"
+        ],
+        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
+        lau_regions=rules.retrieve_lau_regions.output["zip"],
+    output:
+        heat_source_power=resources(
+            "heat_source_power_geothermal_base_s_{clusters}.csv"
+        ),
+    log:
+        logs("build_heat_source_potentials_geothermal_s_{clusters}.log"),
+    benchmark:
+        benchmarks("performances/build_heat_source_potentials/geothermal_s_{clusters}")
+    resources:
+        mem_mb=2000,
     params:
         drop_leap_day=config_provider("enable", "drop_leap_day"),
         countries=config_provider("countries"),
@@ -344,29 +358,35 @@ rule build_geothermal_heat_potential:
             "geothermal",
             "ignore_missing_regions",
         ),
+    message:
+        "Building geothermal heat potential estimates for {wildcards.clusters} clusters"
+    script:
+        scripts("build_geothermal_heat_potential.py")
+
+
+rule build_ates_potentials:
     input:
-        isi_heat_potentials=rules.retrieve_geothermal_heat_utilisation_potentials.output[
-            "isi_heat_potentials"
-        ],
+        aquifer_shapes_shp=rules.retrieve_aquifer_data_bgr.output["aquifer_shapes"][0],
+        dh_areas=resources("dh_areas_base_s_{clusters}.geojson"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
-        lau_regions=rules.retrieve_lau_regions.output["zip"],
+        central_heating_forward_temperature_profiles=resources(
+            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
+        central_heating_return_temperature_profiles=resources(
+            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
+        ),
     output:
-        heat_source_power=resources(
-            "heat_source_power_geothermal_base_s_{clusters}.csv"
+        ates_potentials=resources(
+            "ates_potentials_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    resources:
-        mem_mb=2000,
     log:
-        logs("build_heat_source_potentials_geothermal_s_{clusters}.log"),
+        logs("build_ates_potentials_s_{clusters}_{planning_horizons}.log"),
     benchmark:
-        benchmarks("performances/build_heat_source_potentials/geothermal_s_{clusters}")
-    script:
-        scripts("build_geothermal_heat_potential.py")
-
-
-rule build_ates_potentials:
-    message:
-        "Building aquifer thermal energy storage (ATES) potentials for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
+        benchmarks(
+            "performances/build_ates_potentials_geothermal_s_{clusters}_{planning_horizons}"
+        )
+    resources:
+        mem_mb=2000,
     params:
         max_top_temperature=config_provider(
             "sector",
@@ -417,28 +437,8 @@ rule build_ates_potentials:
             "ignore_missing_regions",
         ),
         countries=config_provider("countries"),
-    input:
-        aquifer_shapes_shp=rules.retrieve_aquifer_data_bgr.output["aquifer_shapes"][0],
-        dh_areas=resources("dh_areas_base_s_{clusters}.geojson"),
-        regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
-        central_heating_forward_temperature_profiles=resources(
-            "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-        central_heating_return_temperature_profiles=resources(
-            "central_heating_return_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
-        ),
-    output:
-        ates_potentials=resources(
-            "ates_potentials_base_s_{clusters}_{planning_horizons}.csv"
-        ),
-    resources:
-        mem_mb=2000,
-    log:
-        logs("build_ates_potentials_s_{clusters}_{planning_horizons}.log"),
-    benchmark:
-        benchmarks(
-            "performances/build_ates_potentials_geothermal_s_{clusters}_{planning_horizons}"
-        )
+    message:
+        "Building aquifer thermal energy storage (ATES) potentials for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_ates_potentials.py")
 
@@ -486,13 +486,6 @@ def input_hera_data(w) -> dict[str, str]:
 
 
 rule build_river_heat_potential:
-    params:
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        snapshots=config_provider("snapshots"),
-        dh_area_buffer=config_provider(
-            "sector", "district_heating", "dh_areas", "buffer"
-        ),
-        enable_heat_source_maps=config_provider("plotting", "enable_heat_source_maps"),
     input:
         unpack(input_hera_data),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -508,13 +501,20 @@ rule build_river_heat_potential:
         heat_source_energy_temporal_aggregate=resources(
             "heat_source_energy_river_water_base_s_{clusters}_temporal_aggregate.nc"
         ),
-    resources:
-        mem_mb=20000,
     log:
         logs("build_river_water_heat_potential_base_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_river_water_heat_potential_base_s_{clusters}")
     threads: 1
+    resources:
+        mem_mb=20000,
+    params:
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        snapshots=config_provider("snapshots"),
+        dh_area_buffer=config_provider(
+            "sector", "district_heating", "dh_areas", "buffer"
+        ),
+        enable_heat_source_maps=config_provider("plotting", "enable_heat_source_maps"),
     script:
         scripts(
             "build_surface_water_heat_potentials/build_river_water_heat_potential.py"
@@ -621,12 +621,6 @@ def input_seawater_temperature(w) -> dict[str, str]:
 
 
 rule build_sea_heat_potential:
-    params:
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        snapshots=config_provider("snapshots"),
-        dh_area_buffer=config_provider(
-            "sector", "district_heating", "dh_areas", "buffer"
-        ),
     input:
         # seawater_temperature=lambda w: input_seawater_temperature(w),
         unpack(input_seawater_temperature),
@@ -637,35 +631,24 @@ rule build_sea_heat_potential:
         heat_source_temperature_temporal_aggregate=resources(
             "temp_sea_water_base_s_{clusters}_temporal_aggregate.nc"
         ),
-    resources:
-        mem_mb=10000,
     log:
         logs("build_sea_water_heat_potential_base_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_sea_water_heat_potential_base_s_{clusters}")
     threads: config["atlite"].get("nprocesses", 4)
+    resources:
+        mem_mb=10000,
+    params:
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        snapshots=config_provider("snapshots"),
+        dh_area_buffer=config_provider(
+            "sector", "district_heating", "dh_areas", "buffer"
+        ),
     script:
         scripts("build_surface_water_heat_potentials/build_sea_water_heat_potential.py")
 
 
 rule build_cop_profiles:
-    message:
-        "Building coefficient of performance (COP) profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        heat_pump_sink_T_decentral_heating=config_provider(
-            "sector", "heat_pump_sink_T_individual_heating"
-        ),
-        heat_source_cooling_central_heating=config_provider(
-            "sector", "district_heating", "heat_source_cooling"
-        ),
-        heat_pump_cop_approximation_central_heating=config_provider(
-            "sector", "district_heating", "heat_pump_cop_approximation"
-        ),
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        limited_heat_sources=config_provider(
-            "sector", "district_heating", "limited_heat_sources"
-        ),
-        snapshots=config_provider("snapshots"),
     input:
         unpack(input_heat_source_temperature),
         central_heating_forward_temperature_profiles=resources(
@@ -677,33 +660,34 @@ rule build_cop_profiles:
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
     output:
         cop_profiles=resources("cop_profiles_base_s_{clusters}_{planning_horizons}.nc"),
-    resources:
-        mem_mb=20000,
     log:
         logs("build_cop_profiles_s_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks("performances/build_cop_profiles/s_{clusters}_{planning_horizons}")
+    resources:
+        mem_mb=20000,
+    params:
+        heat_pump_sink_T_decentral_heating=config_provider(
+            "sector", "heat_pump_sink_T_individual_heating"
+        ),
+        heat_source_cooling_central_heating=config_provider(
+            "sector", "district_heating", "heat_source_cooling"
+        ),
+        heat_pump_cop_approximation_central_heating=config_provider(
+            "sector", "district_heating", "heat_pump_cop_approximation"
+        ),
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        limited_heat_sources=config_provider(
+            "sector", "district_heating", "limited_heat_sources"
+        ),
+        snapshots=config_provider("snapshots"),
+    message:
+        "Building coefficient of performance (COP) profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_cop_profiles/run.py")
 
 
 rule build_ptes_operations:
-    message:
-        "Building thermal energy storage operations profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        max_ptes_top_temperature=config_provider(
-            "sector",
-            "district_heating",
-            "ptes",
-            "max_top_temperature",
-        ),
-        min_ptes_bottom_temperature=config_provider(
-            "sector",
-            "district_heating",
-            "ptes",
-            "min_bottom_temperature",
-        ),
-        snapshots=config_provider("snapshots"),
     input:
         central_heating_forward_temperature_profiles=resources(
             "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
@@ -722,29 +706,35 @@ rule build_ptes_operations:
         ptes_e_max_pu_profiles=resources(
             "ptes_e_max_pu_profiles_base_s_{clusters}_{planning_horizons}.nc"
         ),
-    resources:
-        mem_mb=2000,
     log:
         logs("build_ptes_operations_s_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks(
             "performances/build_ptes_operations_s_{clusters}_{planning_horizons}"
         )
+    resources:
+        mem_mb=2000,
+    params:
+        max_ptes_top_temperature=config_provider(
+            "sector",
+            "district_heating",
+            "ptes",
+            "max_top_temperature",
+        ),
+        min_ptes_bottom_temperature=config_provider(
+            "sector",
+            "district_heating",
+            "ptes",
+            "min_bottom_temperature",
+        ),
+        snapshots=config_provider("snapshots"),
+    message:
+        "Building thermal energy storage operations profiles for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_ptes_operations/run.py")
 
 
 rule build_direct_heat_source_utilisation_profiles:
-    message:
-        "Building direct heat source utilization profiles for industrial applications for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        direct_utilisation_heat_sources=config_provider(
-            "sector", "district_heating", "direct_utilisation_heat_sources"
-        ),
-        limited_heat_sources=config_provider(
-            "sector", "district_heating", "limited_heat_sources"
-        ),
-        snapshots=config_provider("snapshots"),
     input:
         central_heating_forward_temperature_profiles=resources(
             "central_heating_forward_temperature_profiles_base_s_{clusters}_{planning_horizons}.nc"
@@ -753,8 +743,6 @@ rule build_direct_heat_source_utilisation_profiles:
         direct_heat_source_utilisation_profiles=resources(
             "direct_heat_source_utilisation_profiles_base_s_{clusters}_{planning_horizons}.nc"
         ),
-    resources:
-        mem_mb=20000,
     log:
         logs(
             "build_direct_heat_source_utilisation_profiles_s_{clusters}_{planning_horizons}.log"
@@ -763,76 +751,83 @@ rule build_direct_heat_source_utilisation_profiles:
         benchmarks(
             "performances/build_direct_heat_source_utilisation_profiles/s_{clusters}_{planning_horizons}"
         )
+    resources:
+        mem_mb=20000,
+    params:
+        direct_utilisation_heat_sources=config_provider(
+            "sector", "district_heating", "direct_utilisation_heat_sources"
+        ),
+        limited_heat_sources=config_provider(
+            "sector", "district_heating", "limited_heat_sources"
+        ),
+        snapshots=config_provider("snapshots"),
+    message:
+        "Building direct heat source utilization profiles for industrial applications for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_direct_heat_source_utilisation_profiles.py")
 
-
-rule build_solar_thermal_profiles:
-    message:
-        "Building solar thermal generation profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        solar_thermal=config_provider("solar_thermal"),
+
+rule build_solar_thermal_profiles:
     input:
         pop_layout=resources("pop_layout_total.nc"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         cutout=lambda w: input_cutout(w, config_provider("solar_thermal", "cutout")(w)),
     output:
         solar_thermal=resources("solar_thermal_total_base_s_{clusters}.nc"),
-    resources:
-        mem_mb=20000,
-    threads: 16
     log:
         logs("build_solar_thermal_profiles_total_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_solar_thermal_profiles/total_{clusters}")
+    threads: 16
+    resources:
+        mem_mb=20000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        solar_thermal=config_provider("solar_thermal"),
+    message:
+        "Building solar thermal generation profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_solar_thermal_profiles.py")
 
 
 rule build_eurostat_balances:
-    message:
-        "Building Eurostat energy balances"
     input:
         tsv_gz=rules.retrieve_eurostat_balances.output["tsv_gz"],
     output:
         csv=resources("eurostat_energy_balances.csv"),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_eurostat_balances.log"),
     benchmark:
         benchmarks("performances/build_eurostat_balances")
+    threads: 1
+    resources:
+        mem_mb=4000,
+    message:
+        "Building Eurostat energy balances"
     script:
-        "../scripts/build_eurostat_balances.py"
+        scripts("build_eurostat_balances.py")
 
 
 rule build_swiss_energy_balances:
-    message:
-        "Building BFE Swiss energy balances"
     input:
         xlsx=rules.retrieve_swiss_energy_balances.output["xlsx"],
     output:
         csv=resources("switzerland_energy_balances.csv"),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_swiss_energy_balances.log"),
     benchmark:
         benchmarks("performances/build_swiss_energy_balances")
+    threads: 1
+    resources:
+        mem_mb=4000,
+    message:
+        "Building BFE Swiss energy balances"
     script:
         scripts("build_swiss_energy_balances.py")
 
 
 rule build_energy_totals:
-    message:
-        "Building energy totals"
-    params:
-        countries=config_provider("countries"),
-        energy=config_provider("energy"),
     input:
         nuts3_shapes=resources("nuts3_shapes.geojson"),
         co2=rules.retrieve_ghg_emissions.output["csv"],
@@ -849,13 +844,18 @@ rule build_energy_totals:
         transport_name=resources("transport_data.csv"),
         district_heat_share=resources("district_heat_share.csv"),
         heating_efficiencies=resources("heating_efficiencies.csv"),
-    threads: 16
-    resources:
-        mem_mb=10000,
     log:
         logs("build_energy_totals.log"),
     benchmark:
         benchmarks("performances/build_energy_totals")
+    threads: 16
+    resources:
+        mem_mb=10000,
+    params:
+        countries=config_provider("countries"),
+        energy=config_provider("energy"),
+    message:
+        "Building energy totals"
     script:
         scripts("build_energy_totals.py")
 
@@ -881,29 +881,25 @@ if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ["build"
 
 
 rule build_heat_totals:
-    message:
-        "Building heat totals"
     input:
         hdd=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
         energy_totals=resources("energy_totals.csv"),
     output:
         heat_totals=resources("heat_totals.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_heat_totals.log"),
     benchmark:
         benchmarks("performances/build_heat_totals")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    message:
+        "Building heat totals"
     script:
         scripts("build_heat_totals.py")
 
 
 rule build_biomass_potentials:
-    message:
-        "Building biomass potential estimates for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        biomass=config_provider("biomass"),
     input:
         enspreso_biomass=rules.retrieve_enspreso_biomass.output["xlsx"],
         eurostat=resources("eurostat_energy_balances.csv"),
@@ -920,41 +916,43 @@ rule build_biomass_potentials:
         biomass_potentials=resources(
             "biomass_potentials_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 8
-    resources:
-        mem_mb=2000,
     log:
         logs("build_biomass_potentials_s_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks(
             "performances/build_biomass_potentials_s_{clusters}_{planning_horizons}"
         )
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        biomass=config_provider("biomass"),
+    message:
+        "Building biomass potential estimates for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_biomass_potentials.py")
 
 
 rule build_biomass_transport_costs:
-    message:
-        "Building biomass transport cost"
     input:
         sc1="data/biomass_transport_costs_supplychain1.csv",
         sc2="data/biomass_transport_costs_supplychain2.csv",
     output:
         biomass_transport_costs=resources("biomass_transport_costs.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_biomass_transport_costs.log"),
     benchmark:
         benchmarks("performances/build_biomass_transport_costs")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building biomass transport cost"
     script:
         scripts("build_biomass_transport_costs.py")
 
 
 rule build_co2_sequestration_potentials:
-    message:
-        "Building CO2 sequestration potentials"
     input:
         storage_table=rules.retrieve_co2stop.output["storage_table"],
         storage_map=rules.retrieve_co2stop.output["storage_map"],
@@ -964,24 +962,20 @@ rule build_co2_sequestration_potentials:
         traps_map=rules.retrieve_co2stop.output["traps_map"],
     output:
         resources("co2_sequestration_potentials.geojson"),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_co2_sequestration_potentials.log"),
     benchmark:
         benchmarks("performances/build_co2_sequestration_potentials")
+    threads: 1
+    resources:
+        mem_mb=4000,
+    message:
+        "Building CO2 sequestration potentials"
     script:
         scripts("build_co2_sequestration_potentials.py")
 
 
 rule build_clustered_co2_sequestration_potentials:
-    message:
-        "Clustering CO2 sequestration potentials for {wildcards.clusters} clusters"
-    params:
-        sequestration_potential=config_provider(
-            "sector", "regional_co2_sequestration_potential"
-        ),
     input:
         sequestration_potential=resources("co2_sequestration_potentials.geojson"),
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -990,84 +984,86 @@ rule build_clustered_co2_sequestration_potentials:
         sequestration_potential=resources(
             "co2_sequestration_potential_base_s_{clusters}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         logs("build_clustered_co2_sequestration_potentials_{clusters}.log"),
     benchmark:
         benchmarks(
             "performances/build_clustered_co2_sequestration_potentials_{clusters}"
         )
+    threads: 1
+    resources:
+        mem_mb=4000,
+    params:
+        sequestration_potential=config_provider(
+            "sector", "regional_co2_sequestration_potential"
+        ),
+    message:
+        "Clustering CO2 sequestration potentials for {wildcards.clusters} clusters"
     script:
         scripts("build_clustered_co2_sequestration_potentials.py")
 
 
 rule build_salt_cavern_potentials:
-    message:
-        "Building salt cavern potential for hydrogen storage for {wildcards.clusters} clusters"
     input:
         salt_caverns=rules.retrieve_h2_salt_caverns.output["geojson"],
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         regions_offshore=resources("regions_offshore_base_s_{clusters}.geojson"),
     output:
         h2_cavern_potential=resources("salt_cavern_potentials_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_salt_cavern_potentials_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_salt_cavern_potentials_s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    message:
+        "Building salt cavern potential for hydrogen storage for {wildcards.clusters} clusters"
     script:
         scripts("build_salt_cavern_potentials.py")
 
 
 rule build_ammonia_production:
-    message:
-        "Building ammonia production capacity and location data"
     input:
         usgs=rules.retrieve_nitrogen_statistics.output["xlsx"],
     output:
         ammonia_production=resources("ammonia_production.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_ammonia_production.log"),
     benchmark:
         benchmarks("performances/build_ammonia_production")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building ammonia production capacity and location data"
     script:
         scripts("build_ammonia_production.py")
 
 
 rule build_industry_sector_ratios:
-    message:
-        "Building industry sector energy demand ratios"
-    params:
-        industry=config_provider("industry"),
-        ammonia=config_provider("sector", "ammonia", default=False),
     input:
         ammonia_production=resources("ammonia_production.csv"),
         idees=rules.retrieve_jrc_idees.output["directory"],
     output:
         industry_sector_ratios=resources("industry_sector_ratios.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industry_sector_ratios.log"),
     benchmark:
         benchmarks("performances/build_industry_sector_ratios")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        industry=config_provider("industry"),
+        ammonia=config_provider("sector", "ammonia", default=False),
+    message:
+        "Building industry sector energy demand ratios"
     script:
         scripts("build_industry_sector_ratios.py")
 
 
 rule build_industry_sector_ratios_intermediate:
-    message:
-        "Building intermediate industry sector ratios for {wildcards.planning_horizons} planning horizon"
-    params:
-        industry=config_provider("industry"),
     input:
         industry_sector_ratios=resources("industry_sector_ratios.csv"),
         industrial_energy_demand_per_country_today=resources(
@@ -1080,23 +1076,22 @@ rule build_industry_sector_ratios_intermediate:
         industry_sector_ratios=resources(
             "industry_sector_ratios_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industry_sector_ratios_{planning_horizons}.log"),
     benchmark:
         benchmarks("performances/build_industry_sector_ratios_{planning_horizons}")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        industry=config_provider("industry"),
+    message:
+        "Building intermediate industry sector ratios for {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industry_sector_ratios_intermediate.py")
 
 
 rule build_industrial_production_per_country:
-    message:
-        "Building industrial production statistics per country"
-    params:
-        industry=config_provider("industry"),
-        countries=config_provider("countries"),
     input:
         ch_industrial_production="data/ch_industrial_production_per_subsector.csv",
         ammonia_production=resources("ammonia_production.csv"),
@@ -1106,22 +1101,23 @@ rule build_industrial_production_per_country:
         industrial_production_per_country=resources(
             "industrial_production_per_country.csv"
         ),
-    threads: 8
-    resources:
-        mem_mb=2000,
     log:
         logs("build_industrial_production_per_country.log"),
     benchmark:
         benchmarks("performances/build_industrial_production_per_country")
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        industry=config_provider("industry"),
+        countries=config_provider("countries"),
+    message:
+        "Building industrial production statistics per country"
     script:
         scripts("build_industrial_production_per_country.py")
 
 
 rule build_industrial_production_per_country_tomorrow:
-    message:
-        "Building future industrial production projections for {wildcards.planning_horizons} planning horizon"
-    params:
-        industry=config_provider("industry"),
     input:
         industrial_production_per_country=resources(
             "industrial_production_per_country.csv"
@@ -1130,9 +1126,6 @@ rule build_industrial_production_per_country_tomorrow:
         industrial_production_per_country_tomorrow=resources(
             "industrial_production_per_country_tomorrow_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_production_per_country_tomorrow_{planning_horizons}.log"),
     benchmark:
@@ -1141,18 +1134,18 @@ rule build_industrial_production_per_country_tomorrow:
                 "performances/build_industrial_production_per_country_tomorrow_{planning_horizons}"
             )
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        industry=config_provider("industry"),
+    message:
+        "Building future industrial production projections for {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industrial_production_per_country_tomorrow.py")
 
 
 rule build_industrial_distribution_key:
-    message:
-        "Building industrial activity distribution mapping key for {wildcards.clusters} clusters"
-    params:
-        hotmaps_locate_missing=config_provider(
-            "industry", "hotmaps_locate_missing", default=False
-        ),
-        countries=config_provider("countries"),
     input:
         regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1165,20 +1158,25 @@ rule build_industrial_distribution_key:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_distribution_key_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_industrial_distribution_key/s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        hotmaps_locate_missing=config_provider(
+            "industry", "hotmaps_locate_missing", default=False
+        ),
+        countries=config_provider("countries"),
+    message:
+        "Building industrial activity distribution mapping key for {wildcards.clusters} clusters"
     script:
         scripts("build_industrial_distribution_key.py")
 
 
 rule build_industrial_production_per_node:
-    message:
-        "Distributing industrial production to network nodes for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     input:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
@@ -1190,9 +1188,6 @@ rule build_industrial_production_per_node:
         industrial_production_per_node=resources(
             "industrial_production_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_production_per_node_{clusters}_{planning_horizons}.log"),
     benchmark:
@@ -1201,13 +1196,16 @@ rule build_industrial_production_per_node:
                 "performances/build_industrial_production_per_node/s_{clusters}_{planning_horizons}"
             )
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Distributing industrial production to network nodes for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industrial_production_per_node.py")
 
 
 rule build_industrial_energy_demand_per_node:
-    message:
-        "Building industrial energy demand per network node for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     input:
         industry_sector_ratios=resources(
             "industry_sector_ratios_{planning_horizons}.csv"
@@ -1222,9 +1220,6 @@ rule build_industrial_energy_demand_per_node:
         industrial_energy_demand_per_node=resources(
             "industrial_energy_demand_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs(
             "build_industrial_energy_demand_per_node_{clusters}_{planning_horizons}.log"
@@ -1235,17 +1230,16 @@ rule build_industrial_energy_demand_per_node:
                 "performances/build_industrial_energy_demand_per_node/s_{clusters}_{planning_horizons}"
             )
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building industrial energy demand per network node for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_industrial_energy_demand_per_node.py")
 
 
 rule build_industrial_energy_demand_per_country_today:
-    message:
-        "Building current industrial energy demand by country"
-    params:
-        countries=config_provider("countries"),
-        industry=config_provider("industry"),
-        ammonia=config_provider("sector", "ammonia", default=False),
     input:
         transformation_output_coke=resources("transformation_output_coke.csv"),
         jrc=rules.retrieve_jrc_idees.output["directory"],
@@ -1256,20 +1250,24 @@ rule build_industrial_energy_demand_per_country_today:
         industrial_energy_demand_per_country_today=resources(
             "industrial_energy_demand_per_country_today.csv"
         ),
-    threads: 8
-    resources:
-        mem_mb=2000,
     log:
         logs("build_industrial_energy_demand_per_country_today.log"),
     benchmark:
         benchmarks("performances/build_industrial_energy_demand_per_country_today")
+    threads: 8
+    resources:
+        mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        industry=config_provider("industry"),
+        ammonia=config_provider("sector", "ammonia", default=False),
+    message:
+        "Building current industrial energy demand by country"
     script:
         scripts("build_industrial_energy_demand_per_country_today.py")
 
 
 rule build_industrial_energy_demand_per_node_today:
-    message:
-        "Building current industrial energy demand per network node for {wildcards.clusters} clusters"
     input:
         industrial_distribution_key=resources(
             "industrial_distribution_key_base_s_{clusters}.csv"
@@ -1281,25 +1279,22 @@ rule build_industrial_energy_demand_per_node_today:
         industrial_energy_demand_per_node_today=resources(
             "industrial_energy_demand_today_base_s_{clusters}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_industrial_energy_demand_per_node_today_{clusters}.log"),
     benchmark:
         benchmarks(
             "performances/build_industrial_energy_demand_per_node_today/s_{clusters}"
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    message:
+        "Building current industrial energy demand per network node for {wildcards.clusters} clusters"
     script:
         scripts("build_industrial_energy_demand_per_node_today.py")
 
 
 rule build_retro_cost:
-    message:
-        "Building retrofitting cost estimates for building efficiency improvements for {wildcards.clusters} clusters"
-    params:
-        retrofitting=config_provider("sector", "retrofitting"),
-        countries=config_provider("countries"),
     input:
         building_stock="data/retro/data_building_stock.csv",
         data_tabula="data/bundle/retro/tabula-calculator-calcsetbuilding.csv",
@@ -1314,57 +1309,62 @@ rule build_retro_cost:
     output:
         retro_cost=resources("retro_cost_base_s_{clusters}.csv"),
         floor_area=resources("floor_area_base_s_{clusters}.csv"),
-    resources:
-        mem_mb=1000,
     log:
         logs("build_retro_cost_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_retro_cost/s_{clusters}")
+    resources:
+        mem_mb=1000,
+    params:
+        retrofitting=config_provider("sector", "retrofitting"),
+        countries=config_provider("countries"),
+    message:
+        "Building retrofitting cost estimates for building efficiency improvements for {wildcards.clusters} clusters"
     script:
         scripts("build_retro_cost.py")
 
 
 rule build_population_weighted_energy_totals:
-    message:
-        "Building population-weighted energy demand totals for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         energy_totals=resources("{kind}_totals.csv"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
     output:
         resources("pop_weighted_{kind}_totals_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_population_weighted_{kind}_totals_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_population_weighted_{kind}_totals_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Building population-weighted energy demand totals for {wildcards.clusters} clusters"
     script:
         scripts("build_population_weighted_energy_totals.py")
 
 
 rule build_shipping_demand:
-    message:
-        "Building shipping fuel demand projections for {wildcards.clusters} clusters"
     input:
         ports=rules.retrieve_attributed_ports.output["json"],
         scope=resources("europe_shape.geojson"),
         regions=resources("regions_onshore_base_s_{clusters}.geojson"),
         demand=resources("energy_totals.csv"),
-    params:
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     output:
         resources("shipping_demand_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_shipping_demand_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_shipping_demand/s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Building shipping fuel demand projections for {wildcards.clusters} clusters"
     script:
         scripts("build_shipping_demand.py")
 
@@ -1372,8 +1372,6 @@ rule build_shipping_demand:
 if MOBILITY_PROFILES_DATASET["source"] in ["build"]:
 
     rule build_mobility_profiles:
-        params:
-            sector=config_provider("sector"),
         input:
             zip_files=storage(
                 expand(
@@ -1386,25 +1384,20 @@ if MOBILITY_PROFILES_DATASET["source"] in ["build"]:
             raw_files=directory(MOBILITY_PROFILES_DATASET["folder"] / "raw"),
             kfz=MOBILITY_PROFILES_DATASET["folder"] / "kfz.csv",
             pkw=MOBILITY_PROFILES_DATASET["folder"] / "pkw.csv",
-        threads: 1
-        resources:
-            mem_mb=5000,
         log:
             logs("build_mobility_profiles.log"),
         benchmark:
             benchmarks("performances/build_mobility_profiles")
+        threads: 1
+        resources:
+            mem_mb=5000,
+        params:
+            sector=config_provider("sector"),
         script:
             scripts("build_mobility_profiles.py")
 
 
 rule build_transport_demand:
-    message:
-        "Building transport energy demand profiles for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        sector=config_provider("sector"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     input:
         network=resources("networks/base_s.nc"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1420,23 +1413,25 @@ rule build_transport_demand:
         transport_data=resources("transport_data_s_{clusters}.csv"),
         avail_profile=resources("avail_profile_s_{clusters}.csv"),
         dsm_profile=resources("dsm_profile_s_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_transport_demand_s_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_transport_demand/s_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        sector=config_provider("sector"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Building transport energy demand profiles for {wildcards.clusters} clusters"
     script:
         scripts("build_transport_demand.py")
 
 
 rule build_district_heat_share:
-    message:
-        "Building district heating penetration share data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        sector=config_provider("sector"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
     input:
         district_heat_share=resources("district_heat_share.csv"),
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1444,26 +1439,25 @@ rule build_district_heat_share:
         district_heat_share=resources(
             "district_heat_share_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_district_heat_share_{clusters}_{planning_horizons}.log"),
     benchmark:
         benchmarks(
             "performances/build_district_heat_share_{clusters}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        sector=config_provider("sector"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+    message:
+        "Building district heating penetration share data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_district_heat_share.py")
 
 
 rule build_existing_heating_distribution:
-    message:
-        "Building existing heating technology distribution data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
-    params:
-        baseyear=config_provider("scenario", "planning_horizons", 0),
-        sector=config_provider("sector"),
-        existing_capacities=config_provider("existing_capacities"),
     input:
         existing_heating="data/existing_infrastructure/existing_heating_raw.csv",
         clustered_pop_layout=resources("pop_layout_base_s_{clusters}.csv"),
@@ -1477,9 +1471,6 @@ rule build_existing_heating_distribution:
         existing_heating_distribution=resources(
             "existing_heating_distribution_base_s_{clusters}_{planning_horizons}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs(
             "build_existing_heating_distribution_base_s_{clusters}_{planning_horizons}.log"
@@ -1488,17 +1479,20 @@ rule build_existing_heating_distribution:
         benchmarks(
             "performances/build_existing_heating_distribution/base_s_{clusters}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        baseyear=config_provider("scenario", "planning_horizons", 0),
+        sector=config_provider("sector"),
+        existing_capacities=config_provider("existing_capacities"),
+    message:
+        "Building existing heating technology distribution data for {wildcards.clusters} clusters and {wildcards.planning_horizons} planning horizon"
     script:
         scripts("build_existing_heating_distribution.py")
 
 
 rule build_snapshot_weightings:
-    message:
-        "Defining time series aggregation for temporal resolution reduction for {wildcards.clusters} clusters and {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        time_resolution=config_provider("clustering", "temporal"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        solver_name=config_provider("solving", "solver", "name"),
     input:
         network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
         hourly_heat_demand_total=lambda w: (
@@ -1515,9 +1509,6 @@ rule build_snapshot_weightings:
         snapshot_weightings=resources(
             "snapshot_weightings_base_s_{clusters}_elec_{opts}_{sector_opts}.csv"
         ),
-    threads: 1
-    resources:
-        mem_mb=5000,
     log:
         logs(
             "build_snapshot_weightings_base_s_{clusters}_elec_{opts}_{sector_opts}.log"
@@ -1526,6 +1517,15 @@ rule build_snapshot_weightings:
         benchmarks(
             "performances/build_snapshot_weightings_base_s_{clusters}_elec_{opts}_{sector_opts}"
         )
+    threads: 1
+    resources:
+        mem_mb=5000,
+    params:
+        time_resolution=config_provider("clustering", "temporal"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        solver_name=config_provider("solving", "solver", "name"),
+    message:
+        "Defining time series aggregation for temporal resolution reduction for {wildcards.clusters} clusters and {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("build_snapshot_weightings.py")
 
@@ -1539,13 +1539,6 @@ def input_profile_offwind(w):
 
 
 rule build_egs_potentials:
-    message:
-        "Building enhanced geothermal system (EGS) potential estimates for {wildcards.clusters} clusters"
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        sector=config_provider("sector"),
-        costs=config_provider("costs"),
     input:
         egs_cost="data/egs_costs.json",
         regions=resources("regions_onshore_base_s_{clusters}.geojson"),
@@ -1558,13 +1551,20 @@ rule build_egs_potentials:
         egs_potentials=resources("egs_potentials_{clusters}.csv"),
         egs_overlap=resources("egs_overlap_{clusters}.csv"),
         egs_capacity_factors=resources("egs_capacity_factors_{clusters}.csv"),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs("build_egs_potentials_{clusters}.log"),
     benchmark:
         benchmarks("performances/build_egs_potentials_{clusters}")
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        sector=config_provider("sector"),
+        costs=config_provider("costs"),
+    message:
+        "Building enhanced geothermal system (EGS) potential estimates for {wildcards.clusters} clusters"
     script:
         scripts("build_egs_potentials.py")
 
@@ -1661,49 +1661,6 @@ def include_tyndp_trajectories(w):
 
 
 rule prepare_sector_network:
-    message:
-        "Preparing integrated sector-coupled energy network for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizon, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        co2_budget=config_provider("co2_budget"),
-        conventional_carriers=config_provider(
-            "existing_capacities", "conventional_carriers"
-        ),
-        tyndp_conventional_carriers=config_provider(
-            "electricity", "tyndp_conventional_carriers"
-        ),
-        tyndp_stores=config_provider("electricity", "tyndp_stores"),
-        foresight=config_provider("foresight"),
-        sector=config_provider("sector"),
-        industry=config_provider("industry"),
-        renewable=config_provider("renewable"),
-        lines=config_provider("lines"),
-        pypsa_eur=config_provider("pypsa_eur"),
-        length_factor=config_provider("lines", "length_factor"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        countries=config_provider("countries"),
-        adjustments=config_provider("adjustments", "sector"),
-        emissions_scope=config_provider("energy", "emissions"),
-        emission_prices=config_provider("costs", "emission_prices"),
-        electricity=config_provider("electricity"),
-        biomass=config_provider("biomass"),
-        RDIR=RDIR,
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        heat_systems=config_provider("sector", "heat_systems"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
-        direct_utilisation_heat_sources=config_provider(
-            "sector", "district_heating", "direct_utilisation_heat_sources"
-        ),
-        limited_heat_sources=config_provider(
-            "sector", "district_heating", "limited_heat_sources"
-        ),
-        temperature_limited_stores=config_provider(
-            "sector", "district_heating", "temperature_limited_stores"
-        ),
-        load_source=config_provider("load", "source"),
-        scaling_factor=config_provider("load", "scaling_factor"),
-        patch_load_mm=config_provider("load", "patch_demand_with_mm"),
-        offshore_hubs_tyndp=config_provider("sector", "offshore_hubs_tyndp", "enable"),
-        tyndp_scenario=config_provider("tyndp_scenario"),
     input:
         unpack(input_profile_offwind),
         unpack(input_profile_pecd),
@@ -1941,9 +1898,6 @@ rule prepare_sector_network:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_h.nc"
         ),
-    threads: 1
-    resources:
-        mem_mb=2000,
     log:
         logs(
             "prepare_sector_network_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -1952,15 +1906,57 @@ rule prepare_sector_network:
         benchmarks(
             "performances/prepare_sector_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=2000,
+    params:
+        co2_budget=config_provider("co2_budget"),
+        conventional_carriers=config_provider(
+            "existing_capacities", "conventional_carriers"
+        ),
+        tyndp_conventional_carriers=config_provider(
+            "electricity", "tyndp_conventional_carriers"
+        ),
+        tyndp_stores=config_provider("electricity", "tyndp_stores"),
+        foresight=config_provider("foresight"),
+        sector=config_provider("sector"),
+        industry=config_provider("industry"),
+        renewable=config_provider("renewable"),
+        lines=config_provider("lines"),
+        pypsa_eur=config_provider("pypsa_eur"),
+        length_factor=config_provider("lines", "length_factor"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        countries=config_provider("countries"),
+        adjustments=config_provider("adjustments", "sector"),
+        emissions_scope=config_provider("energy", "emissions"),
+        emission_prices=config_provider("costs", "emission_prices"),
+        electricity=config_provider("electricity"),
+        biomass=config_provider("biomass"),
+        RDIR=RDIR,
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        heat_systems=config_provider("sector", "heat_systems"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+        direct_utilisation_heat_sources=config_provider(
+            "sector", "district_heating", "direct_utilisation_heat_sources"
+        ),
+        limited_heat_sources=config_provider(
+            "sector", "district_heating", "limited_heat_sources"
+        ),
+        temperature_limited_stores=config_provider(
+            "sector", "district_heating", "temperature_limited_stores"
+        ),
+        load_source=config_provider("load", "source"),
+        scaling_factor=config_provider("load", "scaling_factor"),
+        patch_load_mm=config_provider("load", "patch_demand_with_mm"),
+        offshore_hubs_tyndp=config_provider("sector", "offshore_hubs_tyndp", "enable"),
+        tyndp_scenario=config_provider("tyndp_scenario"),
+    message:
+        "Preparing integrated sector-coupled energy network for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizon, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("prepare_sector_network.py")
 
 
 rule temporal_aggregation:
-    message:
-        "Performing time series aggregation for temporal resolution reduction for {wildcards.clusters} clusters and {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_h.nc"
@@ -1972,9 +1968,6 @@ rule temporal_aggregation:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
         ),
-    threads: 1
-    resources:
-        mem_mb=5000,
     log:
         logs(
             "temporal_aggregation_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -1983,5 +1976,12 @@ rule temporal_aggregation:
         benchmarks(
             "performances/temporal_aggregation_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=5000,
+    params:
+        time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
+    message:
+        "Performing time series aggregation for temporal resolution reduction for {wildcards.clusters} clusters and {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("temporal_aggregation.py")
diff --git a/rules/cba.smk b/rules/cba.smk
index 7baf9ab965..c90db6d1f6 100644
--- a/rules/cba.smk
+++ b/rules/cba.smk
@@ -28,14 +28,14 @@ if (CBA_PROJECTS_DATASET := dataset_version("tyndp_cba_projects"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_tyndp_cba_projects:
-        params:
-            source="CBA project explorer",
         input:
             zip_file=storage(CBA_PROJECTS_DATASET["url"]),
         output:
             dir=directory(CBA_PROJECTS_DATASET["folder"]),
         log:
             "logs/retrieve_tyndp_cba_projects.log",
+        params:
+            source="CBA project explorer",
         run:
             copy2(input["zip_file"], output["dir"] + ".zip")
             unpack_archive(output["dir"] + ".zip", output["dir"])
@@ -241,11 +241,6 @@ def input_sb_network(w, run=None):
 # Simplify scenario building network for CBA
 # Fixes capacities, adds hurdle costs, extends primary fuel sources, disables volume limits
 rule simplify_sb_network:
-    params:
-        tyndp_conventional_carriers=config_provider(
-            "electricity", "tyndp_conventional_carriers"
-        ),
-        hurdle_costs=config_provider("cba", "hurdle_costs"),
     input:
         network=input_sb_network,
         sb_network=lambda w: input_sb_network(
@@ -253,6 +248,11 @@ rule simplify_sb_network:
         ),
     output:
         network=resources("cba/networks/simple_{planning_horizons}.nc"),
+    params:
+        tyndp_conventional_carriers=config_provider(
+            "electricity", "tyndp_conventional_carriers"
+        ),
+        hurdle_costs=config_provider("cba", "hurdle_costs"),
     script:
         scripts("cba/simplify_sb_network.py")
 
@@ -265,8 +265,6 @@ def get_elec_project_build_years(w):
 
 
 rule fix_reference_sb_to_cba:
-    params:
-        build_years=get_elec_project_build_years,
     input:
         invest_grid=rules.retrieve_tyndp.output.invest_grid,
         guidelines=rules.retreive_cba_guidelines_reference_projects.output.file,
@@ -278,6 +276,8 @@ rule fix_reference_sb_to_cba:
         logs("cba/fix_reference_sb_to_cba_{planning_horizons}.log"),
     benchmark:
         benchmarks("performances/cba/fix_reference_sb_to_cba_{planning_horizons}")
+    params:
+        build_years=get_elec_project_build_years,
     script:
         scripts("cba/fix_reference_sb_to_cba.py")
 
@@ -285,11 +285,6 @@ rule fix_reference_sb_to_cba:
 # Build reference network with all TOOT projects included
 # Ensures MSV extraction and rolling horizon use the same baseline
 rule prepare_reference:
-    params:
-        hurdle_costs=config_provider("cba", "hurdle_costs"),
-        patch_sb_with_annexe=config_provider(
-            "tyndp_investment_candidates", "patch_sb_with_annexe"
-        ),
     input:
         network=rules.simplify_sb_network.output.network,
         transmission_projects=rules.clean_projects.output.transmission_projects,
@@ -298,21 +293,26 @@ rule prepare_reference:
         costs=resources("costs_{planning_horizons}_processed.csv"),
     output:
         network=resources("cba/networks/reference_{planning_horizons}.nc"),
+    params:
+        hurdle_costs=config_provider("cba", "hurdle_costs"),
+        patch_sb_with_annexe=config_provider(
+            "tyndp_investment_candidates", "patch_sb_with_annexe"
+        ),
     script:
         scripts("cba/prepare_reference.py")
 
 
 # Generate snapshot weightings for MSV extraction temporal aggregation
 rule build_msv_snapshot_weightings:
-    params:
-        msv_resolution=config_provider("cba", "msv_extraction", "resolution"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         network=rules.prepare_reference.output.network,
     output:
         snapshot_weightings=resources(
             "cba/msv_snapshot_weightings_{planning_horizons}.csv"
         ),
+    params:
+        msv_resolution=config_provider("cba", "msv_extraction", "resolution"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
     script:
         "../scripts/cba/build_msv_snapshot_weightings.py"
 
@@ -327,11 +327,6 @@ def input_msv_snapshot_weightings(w):
 
 # Extract marginal storage values via perfect foresight solve (full year with cyclicity enabled)
 rule solve_cba_msv_extraction:
-    params:
-        solving=config_provider("solving"),
-        cba_solving=config_provider("cba", "msv_extraction", "solving"),
-        msv_resolution=config_provider("cba", "msv_extraction", "resolution"),
-        cyclic_carriers=config_provider("cba", "storage", "cyclic_carriers"),
     input:
         network=rules.prepare_reference.output.network,
         snapshot_weightings=input_msv_snapshot_weightings,
@@ -342,31 +337,32 @@ rule solve_cba_msv_extraction:
         memory=RESULTS + "logs/cba/msv/{planning_horizons}_memory.log",
         python=RESULTS + "logs/cba/msv/{planning_horizons}_python.log",
     threads: solver_threads
+    params:
+        solving=config_provider("solving"),
+        cba_solving=config_provider("cba", "msv_extraction", "solving"),
+        msv_resolution=config_provider("cba", "msv_extraction", "resolution"),
+        cyclic_carriers=config_provider("cba", "storage", "cyclic_carriers"),
     script:
         "../scripts/cba/solve_cba_msv_extraction.py"
 
 
 # Prepare network for rolling horizon: disable seasonal cyclicity, apply marginal storage value
 rule prepare_rolling_horizon:
-    params:
-        cyclic_carriers=config_provider("cba", "storage", "cyclic_carriers"),
-        soc_boundary_carriers=config_provider("cba", "storage", "soc_boundary_carriers"),
-        msv_resample_method=config_provider("cba", "msv_extraction", "resample_method"),
     input:
         network=rules.prepare_reference.output.network,
         network_msv=rules.solve_cba_msv_extraction.output.network,
     output:
         network=resources("cba/networks/rl_{planning_horizons}.nc"),
+    params:
+        cyclic_carriers=config_provider("cba", "storage", "cyclic_carriers"),
+        soc_boundary_carriers=config_provider("cba", "storage", "soc_boundary_carriers"),
+        msv_resample_method=config_provider("cba", "msv_extraction", "resample_method"),
     script:
         scripts("cba/prepare_rolling_horizon.py")
 
 
 # add or remove the cba project based on assigned method
 rule prepare_project:
-    params:
-        hurdle_costs=config_provider("cba", "hurdle_costs"),
-        cyclic_carriers=config_provider("cba", "storage", "cyclic_carriers"),
-        soc_boundary_carriers=config_provider("cba", "storage", "soc_boundary_carriers"),
     input:
         network=rules.prepare_rolling_horizon.output.network,
         network_msv=rules.solve_cba_msv_extraction.output.network,
@@ -378,18 +374,16 @@ rule prepare_project:
         network=temp(
             resources("cba/networks/project_{cba_project}_{planning_horizons}.nc")
         ),
+    params:
+        hurdle_costs=config_provider("cba", "hurdle_costs"),
+        cyclic_carriers=config_provider("cba", "storage", "cyclic_carriers"),
+        soc_boundary_carriers=config_provider("cba", "storage", "soc_boundary_carriers"),
     script:
         scripts("cba/prepare_project.py")
 
 
 # Solve reference network with rolling horizon (MSV already applied)
 rule solve_cba_reference_network:
-    params:
-        solving=config_provider("solving"),
-        cba_solving=config_provider("cba", "solving"),
-        foresight=config_provider("foresight"),
-        time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
-        custom_extra_functionality=None,
     input:
         network=rules.prepare_rolling_horizon.output.network,
     output:
@@ -399,18 +393,18 @@ rule solve_cba_reference_network:
         memory=RESULTS + "logs/cba/reference/reference_{planning_horizons}_memory.log",
         python=RESULTS + "logs/cba/reference/reference_{planning_horizons}_python.log",
     threads: 1
-    script:
-        scripts("cba/solve_cba_network.py")
-
-
-# Solve TOOT/PINT project network with rolling horizon
-rule solve_cba_network:
     params:
         solving=config_provider("solving"),
         cba_solving=config_provider("cba", "solving"),
         foresight=config_provider("foresight"),
         time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
         custom_extra_functionality=None,
+    script:
+        scripts("cba/solve_cba_network.py")
+
+
+# Solve TOOT/PINT project network with rolling horizon
+rule solve_cba_network:
     input:
         network=resources("cba/networks/project_{cba_project}_{planning_horizons}.nc"),
     output:
@@ -423,6 +417,12 @@ rule solve_cba_network:
         python=RESULTS
         + "logs/cba/projects/project_{cba_project}_{planning_horizons}_python.log",
     threads: 1
+    params:
+        solving=config_provider("solving"),
+        cba_solving=config_provider("cba", "solving"),
+        foresight=config_provider("foresight"),
+        time_resolution=config_provider("clustering", "temporal", "resolution_sector"),
+        custom_extra_functionality=None,
     script:
         scripts("cba/solve_cba_network.py")
 
@@ -486,13 +486,13 @@ rule collect_indicators:
 
 
 rule plot_indicators:
-    params:
-        plotting=config_provider("plotting"),
     input:
         indicators=rules.collect_indicators.output.indicators,
         transmission_projects=rules.clean_projects.output.transmission_projects,
     output:
         plot_dir=directory(RESULTS + "cba/plots_{planning_horizons}"),
+    params:
+        plotting=config_provider("plotting"),
     script:
         scripts("cba/plot_indicators.py")
 
diff --git a/rules/collect.smk b/rules/collect.smk
index 5f63d92301..028034e468 100644
--- a/rules/collect.smk
+++ b/rules/collect.smk
@@ -32,30 +32,28 @@ rule process_costs:
 
 
 rule cluster_networks:
-    message:
-        "Collecting clustered network files"
     input:
         expand(
             resources("networks/base_s_{clusters}.nc"),
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting clustered network files"
 
 
 rule prepare_elec_networks:
-    message:
-        "Collecting prepared electricity network files"
     input:
         expand(
             resources("networks/base_s_{clusters}_elec_{opts}.nc"),
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting prepared electricity network files"
 
 
 rule prepare_sector_networks:
-    message:
-        "Collecting prepared sector-coupled network files"
     input:
         expand(
             resources(
@@ -64,22 +62,22 @@ rule prepare_sector_networks:
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting prepared sector-coupled network files"
 
 
 rule solve_elec_networks:
-    message:
-        "Collecting solved electricity network files"
     input:
         expand(
             RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting solved electricity network files"
 
 
 rule solve_sector_networks:
-    message:
-        "Collecting solved sector-coupled network files"
     input:
         expand(
             RESULTS
@@ -87,11 +85,11 @@ rule solve_sector_networks:
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting solved sector-coupled network files"
 
 
 rule solve_sector_networks_perfect:
-    message:
-        "Collecting solved sector-coupled network files with perfect foresight"
     input:
         expand(
             RESULTS
@@ -99,6 +97,8 @@ rule solve_sector_networks_perfect:
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Collecting solved sector-coupled network files with perfect foresight"
 
 
 def balance_map_paths(kind, w):
@@ -118,11 +118,11 @@ def balance_map_paths(kind, w):
 
 
 rule plot_balance_maps:
-    message:
-        "Plotting energy balance maps"
     input:
         static=lambda w: balance_map_paths("static", w),
         interactive=lambda w: balance_map_paths("interactive", w),
+    message:
+        "Plotting energy balance maps"
 
 
 rule plot_balance_maps_static:
@@ -136,14 +136,14 @@ rule plot_balance_maps_interactive:
 
 
 rule plot_power_networks_clustered:
-    message:
-        "Plotting clustered power network topology"
     input:
         expand(
             resources("maps/power-network-s-{clusters}.pdf"),
             **config["scenario"],
             run=config["run"]["name"],
         ),
+    message:
+        "Plotting clustered power network topology"
 
 
 rule rulegraphs:
diff --git a/rules/development.smk b/rules/development.smk
index fb2f267a01..cdbd6616fd 100644
--- a/rules/development.smk
+++ b/rules/development.smk
@@ -4,17 +4,6 @@
 
 
 rule base_network_incumbent:
-    message:
-        "Building base network to which to compare against."
-    params:
-        countries=config_provider("countries"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        lines=config_provider("lines"),
-        links=config_provider("links"),
-        transformers=config_provider("transformers"),
-        clustering=config_provider("clustering", "mode"),
-        admin_levels=config_provider("clustering", "administrative"),
     input:
         unpack(input_base_network_incumbent),
         nuts3_shapes=resources("nuts3_shapes.geojson"),
@@ -33,20 +22,22 @@ rule base_network_incumbent:
     threads: 4
     resources:
         mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        lines=config_provider("lines"),
+        links=config_provider("links"),
+        transformers=config_provider("transformers"),
+        clustering=config_provider("clustering", "mode"),
+        admin_levels=config_provider("clustering", "administrative"),
+    message:
+        "Building base network to which to compare against."
     script:
-        "../scripts/base_network.py"
+        scripts("base_network.py")
 
 
 rule make_network_comparison:
-    message:
-        "Create network comparison between two PyPSA networks."
-    params:
-        countries=config_provider("countries"),
-        base_network=config_provider("electricity", "base_network"),
-        compare_to_version=config_provider(
-            "osm_network_release", "compare_to", "version"
-        ),
-        voltages=config_provider("electricity", "voltages"),
     input:
         n_release=resources("networks/base.nc"),
         n_incumbent=resources("osm/comparison/incumbent/networks/base.nc"),
@@ -61,18 +52,20 @@ rule make_network_comparison:
     threads: 1
     resources:
         mem_mb=2000,
+    params:
+        countries=config_provider("countries"),
+        base_network=config_provider("electricity", "base_network"),
+        compare_to_version=config_provider(
+            "osm_network_release", "compare_to", "version"
+        ),
+        voltages=config_provider("electricity", "voltages"),
+    message:
+        "Create network comparison between two PyPSA networks."
     script:
-        "../scripts/make_network_comparison.py"
+        scripts("make_network_comparison.py")
 
 
 rule prepare_osm_network_release:
-    message:
-        "Preparing OSM network release files and map."
-    params:
-        line_types=config["lines"]["types"],
-        release_version=config_provider("osm_network_release", "release_version"),
-        include_polygons=True,
-        export=True,
     input:
         base_network=resources("networks/base.nc"),
         stations_polygon=resources("osm/build/geojson/stations_polygon.geojson"),
@@ -91,18 +84,18 @@ rule prepare_osm_network_release:
     threads: 1
     resources:
         mem_mb=1000,
+    params:
+        line_types=config["lines"]["types"],
+        release_version=config_provider("osm_network_release", "release_version"),
+        include_polygons=True,
+        export=True,
+    message:
+        "Preparing OSM network release files and map."
     script:
-        "../scripts/prepare_osm_network_release.py"
+        scripts("prepare_osm_network_release.py")
 
 
 rule map_incumbent:
-    message:
-        "Preparing map of incumbent network for comparison with OSM release."
-    params:
-        line_types=config["lines"]["types"],
-        release_version="Incumbent",
-        include_polygons=False,
-        export=False,
     input:
         base_network=resources("osm/comparison/incumbent/networks/base.nc"),
     output:
@@ -114,13 +107,18 @@ rule map_incumbent:
     threads: 1
     resources:
         mem_mb=1000,
+    params:
+        line_types=config["lines"]["types"],
+        release_version="Incumbent",
+        include_polygons=False,
+        export=False,
+    message:
+        "Preparing map of incumbent network for comparison with OSM release."
     script:
-        "../scripts/prepare_osm_network_release.py"
+        scripts("prepare_osm_network_release.py")
 
 
 rule osm_release:
-    message:
-        "Creating OSM network release files, map and comparison with incumbent network."
     input:
         resources("osm/release/buses.csv"),
         resources("osm/release/converters.csv"),
@@ -130,3 +128,5 @@ rule osm_release:
         resources("osm/release/map.html"),
         resources("osm/comparison/map_incumbent.html"),
         resources("osm/comparison/lengths.pdf"),
+    message:
+        "Creating OSM network release files, map and comparison with incumbent network."
diff --git a/rules/postprocess.smk b/rules/postprocess.smk
index 6b6dc84f49..7f873fe9fd 100644
--- a/rules/postprocess.smk
+++ b/rules/postprocess.smk
@@ -7,47 +7,42 @@
 if config["foresight"] != "perfect":
 
     rule plot_base_network:
-        message:
-            "Plotting base power network"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=resources("networks/base.nc"),
             regions_onshore=resources("regions_onshore.geojson"),
         output:
             map=resources("maps/power-network.pdf"),
+        benchmark:
+            benchmarks("performances/plot_base_network/base")
         threads: 1
         resources:
             mem_mb=4000,
-        benchmark:
-            benchmarks("performances/plot_base_network/base")
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting base power network"
         script:
             scripts("plot_base_network.py")
 
     rule plot_power_network_clustered:
-        message:
-            "Plotting clustered power network for {wildcards.clusters} clusters"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=resources("networks/base_s_{clusters}.nc"),
             regions_onshore=resources("regions_onshore_base_s_{clusters}.geojson"),
         output:
             map=resources("maps/power-network-s-{clusters}.pdf"),
+        benchmark:
+            benchmarks("performances/plot_power_network_clustered/base_s_{clusters}")
         threads: 1
         resources:
             mem_mb=4000,
-        benchmark:
-            benchmarks("performances/plot_power_network_clustered/base_s_{clusters}")
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting clustered power network for {wildcards.clusters} clusters"
         script:
             scripts("plot_power_network_clustered.py")
 
     rule plot_power_network:
-        message:
-            "Plotting power network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-        params:
-            plotting=config_provider("plotting"),
-            transmission_limit=config_provider("electricity", "transmission_limit"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -55,9 +50,6 @@ if config["foresight"] != "perfect":
         output:
             map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}-costs-all_{planning_horizons}.pdf",
-        threads: 2
-        resources:
-            mem_mb=10000,
         log:
             RESULTS
             + "logs/plot_power_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -66,17 +58,18 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/performances/plot_power_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
             )
+        threads: 2
+        resources:
+            mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+            transmission_limit=config_provider("electricity", "transmission_limit"),
+        message:
+            "Plotting power network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
         script:
             scripts("plot_power_network.py")
 
     rule plot_hydrogen_network:
-        message:
-            "Plotting hydrogen network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-        params:
-            plotting=config_provider("plotting"),
-            foresight=config_provider("foresight"),
-            tyndp_h2_topology=config_provider("sector", "h2_topology_tyndp"),
-            sector=config_provider("sector"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -88,9 +81,6 @@ if config["foresight"] != "perfect":
         output:
             map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}-h2_network_{planning_horizons}.pdf",
-        threads: 2
-        resources:
-            mem_mb=10000,
         log:
             RESULTS
             + "logs/plot_hydrogen_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -99,14 +89,20 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/performances/plot_hydrogen_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
             )
+        threads: 2
+        resources:
+            mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+            foresight=config_provider("foresight"),
+            tyndp_h2_topology=config_provider("sector", "h2_topology_tyndp"),
+            sector=config_provider("sector"),
+        message:
+            "Plotting hydrogen network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
         script:
             scripts("plot_hydrogen_network.py")
 
     rule plot_gas_network:
-        message:
-            "Plotting methane network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizon"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -114,9 +110,6 @@ if config["foresight"] != "perfect":
         output:
             map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}-ch4_network_{planning_horizons}.pdf",
-        threads: 2
-        resources:
-            mem_mb=10000,
         log:
             RESULTS
             + "logs/plot_gas_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -125,15 +118,17 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/performances/plot_gas_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
             )
+        threads: 2
+        resources:
+            mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting methane network for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizon"
         script:
             scripts("plot_gas_network.py")
 
     rule plot_balance_map:
-        message:
-            "Plotting balance map for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options, {wildcards.planning_horizons} planning horizons and {wildcards.carrier} carrier"
-        params:
-            plotting=config_provider("plotting"),
-            settings=lambda w: config_provider("plotting", "balance_map", w.carrier),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -141,9 +136,6 @@ if config["foresight"] != "perfect":
         output:
             RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-balance_map_{carrier}.pdf",
-        threads: 1
-        resources:
-            mem_mb=8000,
         log:
             RESULTS
             + "logs/plot_balance_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
@@ -152,10 +144,41 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/performances/plot_balance_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
             )
+        threads: 1
+        resources:
+            mem_mb=8000,
+        params:
+            plotting=config_provider("plotting"),
+            settings=lambda w: config_provider("plotting", "balance_map", w.carrier),
+        message:
+            "Plotting balance map for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options, {wildcards.planning_horizons} planning horizons and {wildcards.carrier} carrier"
         script:
             scripts("plot_balance_map.py")
 
     rule plot_balance_map_interactive:
+        input:
+            network=RESULTS
+            + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
+            regions=resources("regions_onshore_base_s_{clusters}.geojson"),
+            buses_h2=branch(
+                config_provider("sector", "h2_topology_tyndp"),
+                resources("tyndp/build/geojson/buses_h2.geojson"),
+                [],
+            ),
+        output:
+            RESULTS
+            + "maps/interactive/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-balance_map_{carrier}.html",
+        log:
+            RESULTS
+            + "logs/plot_balance_map_interactive/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
+        benchmark:
+            (
+                RESULTS
+                + "benchmarks/performances/plot_interactive_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
+            )
+        threads: 1
+        resources:
+            mem_mb=8000,
         params:
             settings=lambda w: config_provider(
                 "plotting", "balance_map_interactive", w.carrier
@@ -179,36 +202,10 @@ if config["foresight"] != "perfect":
                 if w.carrier in ("AC", "H2")
                 else False
             ),
-        input:
-            network=RESULTS
-            + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
-            regions=resources("regions_onshore_base_s_{clusters}.geojson"),
-            buses_h2=branch(
-                config_provider("sector", "h2_topology_tyndp"),
-                resources("tyndp/build/geojson/buses_h2.geojson"),
-                [],
-            ),
-        output:
-            RESULTS
-            + "maps/interactive/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-balance_map_{carrier}.html",
-        threads: 1
-        resources:
-            mem_mb=8000,
-        log:
-            RESULTS
-            + "logs/plot_balance_map_interactive/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
-        benchmark:
-            (
-                RESULTS
-                + "benchmarks/performances/plot_interactive_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
-            )
         script:
             scripts("plot_balance_map_interactive.py")
 
     rule plot_heat_source_map:
-        params:
-            plotting=config_provider("plotting"),
-            heat_sources=config_provider("sector", "heat_pump_sources"),
         input:
             regions=resources("regions_onshore_base_s_{clusters}.geojson"),
             heat_source_temperature=lambda w: (
@@ -232,9 +229,6 @@ if config["foresight"] != "perfect":
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-heat_source_temperature_map_{carrier}.html",
             energy_map=RESULTS
             + "maps/static/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-heat_source_energy_map_{carrier}.html",
-        threads: 1
-        resources:
-            mem_mb=150000,
         log:
             RESULTS
             + "logs/plot_heat_source_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
@@ -243,6 +237,12 @@ if config["foresight"] != "perfect":
                 RESULTS
                 + "benchmarks/performances/plot_heat_source_map/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
             )
+        threads: 1
+        resources:
+            mem_mb=150000,
+        params:
+            plotting=config_provider("plotting"),
+            heat_sources=config_provider("sector", "heat_pump_sources"),
         script:
             scripts("plot_heat_source_map.py")
 
@@ -258,10 +258,6 @@ if config["foresight"] == "perfect":
         }
 
     rule plot_power_network_perfect:
-        message:
-            "Plotting power network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years.nc",
@@ -271,13 +267,15 @@ if config["foresight"] == "perfect":
         threads: 2
         resources:
             mem_mb=10000,
+        params:
+            plotting=config_provider("plotting"),
+        message:
+            "Plotting power network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
         script:
             scripts("plot_power_network_perfect.py")
 
 
 rule make_summary:
-    message:
-        "Creating optimization results summary statistics"
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -310,9 +308,6 @@ rule make_summary:
         + "csvs/individual/market_values_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.csv",
         metrics=RESULTS
         + "csvs/individual/metrics_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.csv",
-    threads: 1
-    resources:
-        mem_mb=8000,
     log:
         RESULTS
         + "logs/make_summary_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
@@ -321,16 +316,16 @@ rule make_summary:
             RESULTS
             + "benchmarks/performances/make_summary_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    threads: 1
+    resources:
+        mem_mb=8000,
+    message:
+        "Creating optimization results summary statistics"
     script:
         scripts("make_summary.py")
 
 
 rule make_global_summary:
-    message:
-        "Creating global summary of optimization results for all scenarios"
-    params:
-        scenario=config_provider("scenario"),
-        RDIR=RDIR,
     input:
         nodal_costs=expand(
             RESULTS
@@ -431,49 +426,43 @@ rule make_global_summary:
         nodal_capacities=RESULTS + "csvs/nodal_capacities.csv",
         nodal_energy_balance=RESULTS + "csvs/nodal_energy_balance.csv",
         nodal_capacity_factors=RESULTS + "csvs/nodal_capacity_factors.csv",
-    threads: 1
-    resources:
-        mem_mb=8000,
     log:
         RESULTS + "logs/make_global_summary.log",
     benchmark:
         RESULTS + "benchmarks/performances/make_global_summary"
+    threads: 1
+    resources:
+        mem_mb=8000,
+    params:
+        scenario=config_provider("scenario"),
+        RDIR=RDIR,
+    message:
+        "Creating global summary of optimization results for all scenarios"
     script:
         scripts("make_global_summary.py")
 
 
 rule make_cumulative_costs:
-    message:
-        "Calculating cumulative costs over time horizon"
-    params:
-        scenario=config_provider("scenario"),
     input:
         costs=RESULTS + "csvs/costs.csv",
     output:
         cumulative_costs=RESULTS + "csvs/cumulative_costs.csv",
-    threads: 1
-    resources:
-        mem_mb=4000,
     log:
         RESULTS + "logs/make_cumulative_costs.log",
     benchmark:
         RESULTS + "benchmarks/performances/make_cumulative_costs"
+    threads: 1
+    resources:
+        mem_mb=4000,
+    params:
+        scenario=config_provider("scenario"),
+    message:
+        "Calculating cumulative costs over time horizon"
     script:
         scripts("make_cumulative_costs.py")
 
 
 rule plot_summary:
-    message:
-        "Plotting summary statistics and results"
-    params:
-        countries=config_provider("countries"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        emissions_scope=config_provider("energy", "emissions"),
-        plotting=config_provider("plotting"),
-        foresight=config_provider("foresight"),
-        co2_budget=config_provider("co2_budget"),
-        sector=config_provider("sector"),
-        RDIR=RDIR,
     input:
         costs=RESULTS + "csvs/costs.csv",
         energy=RESULTS + "csvs/energy.csv",
@@ -481,72 +470,83 @@ rule plot_summary:
         eurostat=resources("eurostat_energy_balances.csv"),
         co2=rules.retrieve_ghg_emissions.output["csv"],
     output:
-        costs=RESULTS + "graphs/costs.svg",
-        energy=RESULTS + "graphs/energy.svg",
-        balances=RESULTS + "graphs/balances-energy.svg",
+        costs=RESULTS + "graphs/costs.pdf",
+        energy=RESULTS + "graphs/energy.pdf",
+        balances=RESULTS + "graphs/balances-energy.pdf",
+    log:
+        RESULTS + "logs/plot_summary.log",
     threads: 2
     resources:
         mem_mb=10000,
-    log:
-        RESULTS + "logs/plot_summary.log",
+    params:
+        countries=config_provider("countries"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        emissions_scope=config_provider("energy", "emissions"),
+        plotting=config_provider("plotting"),
+        foresight=config_provider("foresight"),
+        co2_budget=config_provider("co2_budget"),
+        sector=config_provider("sector"),
+        RDIR=RDIR,
+    message:
+        "Plotting summary statistics and results"
     script:
         scripts("plot_summary.py")
 
 
 rule plot_balance_timeseries:
-    message:
-        "Plotting energy balance time series for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-    params:
-        plotting=config_provider("plotting"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
         rc="matplotlibrc",
-    threads: 16
-    resources:
-        mem_mb=10000,
+    output:
+        directory(
+            RESULTS
+            + "graphics/balance_timeseries/s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
+        ),
     log:
         RESULTS
         + "logs/plot_balance_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
     benchmark:
         RESULTS
         + "benchmarks/performances/plot_balance_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
-    output:
-        directory(
-            RESULTS
-            + "graphics/balance_timeseries/s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
-        ),
+    threads: 16
+    resources:
+        mem_mb=10000,
+    params:
+        plotting=config_provider("plotting"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Plotting energy balance time series for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
     script:
         scripts("plot_balance_timeseries.py")
 
 
 rule plot_heatmap_timeseries:
-    message:
-        "Plotting heatmap time series visualization for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
-    params:
-        plotting=config_provider("plotting"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
         rc="matplotlibrc",
-    threads: 16
-    resources:
-        mem_mb=10000,
+    output:
+        directory(
+            RESULTS
+            + "graphics/heatmap_timeseries/s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
+        ),
     log:
         RESULTS
         + "logs/plot_heatmap_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
     benchmark:
         RESULTS
         + "benchmarks/performances/plot_heatmap_timeseries/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
-    output:
-        directory(
-            RESULTS
-            + "graphics/heatmap_timeseries/s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
-        ),
+    threads: 16
+    resources:
+        mem_mb=10000,
+    params:
+        plotting=config_provider("plotting"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+    message:
+        "Plotting heatmap time series visualization for {wildcards.clusters} clusters, {wildcards.opts} electric options, {wildcards.sector_opts} sector options and {wildcards.planning_horizons} planning horizons"
     script:
         scripts("plot_heatmap_timeseries.py")
 
@@ -565,11 +565,6 @@ STATISTICS_BARPLOTS = [
 
 
 rule plot_base_statistics:
-    message:
-        "Plotting base scenario statistics for {wildcards.clusters} clusters and {wildcards.opts} electric options"
-    params:
-        plotting=config_provider("plotting"),
-        barplots=STATISTICS_BARPLOTS,
     input:
         network=RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
     output:
@@ -580,6 +575,11 @@ rule plot_base_statistics:
         },
         barplots_touch=RESULTS
         + "figures/.statistics_plots_base_s_{clusters}_elec_{opts}",
+    params:
+        plotting=config_provider("plotting"),
+        barplots=STATISTICS_BARPLOTS,
+    message:
+        "Plotting base scenario statistics for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     script:
         scripts("plot_statistics.py")
 
@@ -592,9 +592,6 @@ rule build_ambient_air_temperature_yearly_average:
         average_ambient_air_temperature=resources(
             "temp_ambient_air_base_s_{clusters}_temporal_aggregate.nc"
         ),
-    threads: 1
-    resources:
-        mem_mb=5000,
     log:
         RESULTS + "logs/build_ambient_air_temperature_yearly_average/base_s_{clusters}",
     benchmark:
@@ -602,6 +599,9 @@ rule build_ambient_air_temperature_yearly_average:
             RESULTS
             + "benchmarks/performances/build_ambient_air_temperature_yearly_average/base_s_{clusters}"
         )
+    threads: 1
+    resources:
+        mem_mb=5000,
     script:
         scripts("build_ambient_air_temperature_yearly_average.py")
 
@@ -625,13 +625,6 @@ rule plot_cop_profiles:
 
 
 rule plot_interactive_bus_balance:
-    params:
-        plotting=config_provider("plotting"),
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        bus_name_pattern=config_provider(
-            "plotting", "interactive_bus_balance", "bus_name_pattern"
-        ),
     input:
         network=RESULTS
         + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -649,5 +642,12 @@ rule plot_interactive_bus_balance:
         + "benchmarks/performances/plot_interactive_bus_balance/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
     resources:
         mem_mb=20000,
+    params:
+        plotting=config_provider("plotting"),
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        bus_name_pattern=config_provider(
+            "plotting", "interactive_bus_balance", "bus_name_pattern"
+        ),
     script:
         scripts("plot_interactive_bus_balance.py")
diff --git a/rules/report.smk b/rules/report.smk
index 3e2dc15635..e514d60f1c 100755
--- a/rules/report.smk
+++ b/rules/report.smk
@@ -4,15 +4,15 @@
 
 
 rule report:
-    message:
-        "Compile report."
-    params:
-        fn="report",
     input:
         tex="report/report.tex",
         bib="report/references.bib",
     output:
         "report/report.pdf",
+    params:
+        fn="report",
+    message:
+        "Compile report."
     shell:
         """
         pdflatex -output-directory report {input.tex}
diff --git a/rules/retrieve.smk b/rules/retrieve.smk
index bae40aa7f7..c83df6d38a 100755
--- a/rules/retrieve.smk
+++ b/rules/retrieve.smk
@@ -32,12 +32,12 @@ if (EUROSTAT_BALANCES_DATASET := dataset_version("eurostat_balances"))["source"]
 ]:
 
     rule retrieve_eurostat_balances:
-        message:
-            "Retrieving Eurostat balances data"
         input:
             tsv_gz=storage(EUROSTAT_BALANCES_DATASET["url"]),
         output:
             tsv_gz=f"{EUROSTAT_BALANCES_DATASET['folder']}/estat_nrg_bal_c.tsv.gz",
+        message:
+            "Retrieving Eurostat balances data"
         run:
             copy2(input["tsv_gz"], output["tsv_gz"])
 
@@ -52,12 +52,12 @@ if (
 ]:
 
     rule retrieve_eurostat_household_balances:
-        message:
-            "Retrieving Eurostat household balances data"
         input:
             csv=storage(EUROSTAT_HOUSEHOLD_BALANCES_DATASET["url"]),
         output:
             csv=f"{EUROSTAT_HOUSEHOLD_BALANCES_DATASET['folder']}/nrg_d_hhq.csv",
+        message:
+            "Retrieving Eurostat household balances data"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -65,16 +65,17 @@ if (
 if (SWISS_ENERGY_BALANCES_DATASET := dataset_version("swiss_energy_balances"))[
     "source"
 ] in [
+    "archive",
     "primary",
 ]:
 
     rule retrieve_swiss_energy_balances:
-        message:
-            "Retrieving Swiss energy balances data"
         input:
             xlsx=storage(SWISS_ENERGY_BALANCES_DATASET["url"]),
         output:
             xlsx=f"{SWISS_ENERGY_BALANCES_DATASET['folder']}/12361-VWZ_Webtabellen_2024.xlsx",
+        message:
+            "Retrieving Swiss energy balances data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -85,13 +86,13 @@ if (NUTS3_POPULATION_DATASET := dataset_version("nuts3_population"))["source"] i
 ]:
 
     rule retrieve_nuts3_population:
-        message:
-            "Retrieving NUTS3 population data"
         input:
             gz=storage(NUTS3_POPULATION_DATASET["url"]),
         output:
             gz=f"{NUTS3_POPULATION_DATASET['folder']}/nama_10r_3popgdp.tsv.gz",
         retries: 2
+        message:
+            "Retrieving NUTS3 population data"
         run:
             copy2(input["gz"], output["gz"])
 
@@ -99,13 +100,13 @@ if (NUTS3_POPULATION_DATASET := dataset_version("nuts3_population"))["source"] i
 if (CORINE_DATASET := dataset_version("corine"))["source"] in ARCHIVE_SOURCES:
 
     rule retrieve_corine:
-        message:
-            "Retrieving Corine land cover data"
         input:
             zip_file=storage(CORINE_DATASET["url"]),
         output:
             zip_file=f"{CORINE_DATASET['folder']}/corine.zip",
             tif_file=f"{CORINE_DATASET['folder']}/corine.tif",
+        message:
+            "Retrieving Corine land cover data"
         run:
             output_folder = Path(output["zip_file"]).parent
             unpack_archive(input["zip_file"], output_folder)
@@ -117,18 +118,18 @@ if (CORINE_DATASET := dataset_version("corine"))["source"] in ARCHIVE_SOURCES:
 elif (CORINE_DATASET := dataset_version("corine"))["source"] in ["primary"]:
 
     rule retrieve_corine:
-        message:
-            "Retrieving Corine land cover data"
-        params:
-            apikey=os.environ.get("CORINE_API_TOKEN", ""),
         output:
             zip=f"{CORINE_DATASET['folder']}/corine.zip",
             tif_file=f"{CORINE_DATASET['folder']}/corine.tif",
         log:
             logs("retrieve_corine_primary.log"),
+        retries: 2
         resources:
             mem_mb=1000,
-        retries: 2
+        params:
+            apikey=os.environ.get("CORINE_API_TOKEN", ""),
+        message:
+            "Retrieving Corine land cover data"
         script:
             scripts("retrieve_corine_dataset_primary.py")
 
@@ -138,13 +139,13 @@ if (H2_SALT_CAVERNS_DATASET := dataset_version("h2_salt_caverns"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_h2_salt_caverns:
-        message:
-            "Retrieving H2 salt caverns data"
         input:
             geojson=storage(H2_SALT_CAVERNS_DATASET["url"]),
         output:
             geojson=f"{H2_SALT_CAVERNS_DATASET['folder']}/h2_salt_caverns_GWh_per_sqkm.geojson",
         retries: 2
+        message:
+            "Retrieving H2 salt caverns data"
         run:
             copy2(input["geojson"], output["geojson"])
 
@@ -154,13 +155,13 @@ if (GDP_PER_CAPITA_DATASET := dataset_version("gdp_per_capita"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_gdp_per_capita:
-        message:
-            "Retrieving GDP per capita data"
         input:
             gdp=storage(GDP_PER_CAPITA_DATASET["url"]),
         output:
             gdp=f"{GDP_PER_CAPITA_DATASET['folder']}/GDP_per_capita_PPP_1990_2015_v2.nc",
         retries: 2
+        message:
+            "Retrieving GDP per capita data"
         run:
             copy2(input["gdp"], output["gdp"])
 
@@ -171,13 +172,13 @@ if (POPULATION_COUNT_DATASET := dataset_version("population_count"))["source"] i
 ]:
 
     rule retrieve_population_count:
-        message:
-            "Retrieving population count data"
         input:
             tif=storage(POPULATION_COUNT_DATASET["url"]),
         output:
             tif=f"{POPULATION_COUNT_DATASET['folder']}/ppp_2019_1km_Aggregated.tif",
         retries: 2
+        message:
+            "Retrieving population count data"
         run:
             copy2(input["tif"], output["tif"])
 
@@ -198,8 +199,6 @@ if (GHG_EMISSIONS_DATASET := dataset_version("ghg_emissions"))["source"] in [
 ]:
 
     rule retrieve_ghg_emissions:
-        message:
-            "Retrieving GHG emissions data"
         input:
             ghg=storage(GHG_EMISSIONS_DATASET["url"]),
         output:
@@ -215,6 +214,8 @@ if (GHG_EMISSIONS_DATASET := dataset_version("ghg_emissions"))["source"] in [
                 else []
             ),
         retries: 2
+        message:
+            "Retrieving GHG emissions data"
         run:
             if GHG_EMISSIONS_DATASET["source"] == "primary":
                 copy2(input["ghg"], output["zip"])
@@ -230,8 +231,6 @@ if (GEBCO_DATASET := dataset_version("gebco"))["source"] in [
 ]:
 
     rule retrieve_gebco:
-        message:
-            "Retrieving GEBCO bathymetry data"
         input:
             storage(GEBCO_DATASET["url"]),
         output:
@@ -241,6 +240,8 @@ if (GEBCO_DATASET := dataset_version("gebco"))["source"] in [
                 if GEBCO_DATASET["source"] == "primary"
                 else []
             ),
+        message:
+            "Retrieving GEBCO bathymetry data"
         run:
             if GEBCO_DATASET["source"] == "primary":
                 import xarray as xr
@@ -265,13 +266,13 @@ if (ATTRIBUTED_PORTS_DATASET := dataset_version("attributed_ports"))["source"] i
 ]:
 
     rule retrieve_attributed_ports:
-        message:
-            "Retrieving attributed ports data"
         input:
             json=storage(ATTRIBUTED_PORTS_DATASET["url"]),
         output:
             json=f"{ATTRIBUTED_PORTS_DATASET['folder']}/attributed_ports.json",
         retries: 2
+        message:
+            "Retrieving attributed ports data"
         run:
             copy2(input["json"], output["json"])
 
@@ -282,13 +283,13 @@ if (JRC_IDEES_DATASET := dataset_version("jrc_idees"))["source"] in [
 ]:
 
     rule retrieve_jrc_idees:
-        message:
-            "Retrieving JRC IDEES data"
         input:
             zip_file=storage(JRC_IDEES_DATASET["url"]),
         output:
             zip_file=f"{JRC_IDEES_DATASET['folder']}/jrc_idees.zip",
             directory=directory(JRC_IDEES_DATASET["folder"]),
+        message:
+            "Retrieving JRC IDEES data"
         run:
             copy2(input["zip_file"], output["zip_file"])
             output_folder = Path(output["zip_file"]).parent
@@ -301,8 +302,6 @@ if (EU_NUTS2013_DATASET := dataset_version("eu_nuts2013"))["source"] in [
 ]:
 
     rule retrieve_eu_nuts_2013:
-        message:
-            "Retrieving EU NUTS 2013 data"
         input:
             shapes=storage(EU_NUTS2013_DATASET["url"]),
         output:
@@ -312,6 +311,8 @@ if (EU_NUTS2013_DATASET := dataset_version("eu_nuts2013"))["source"] in [
             ),
             shapes_level_3=f"{EU_NUTS2013_DATASET['folder']}/ref-nuts-2013-03m.geojson/NUTS_RG_03M_2013_4326_LEVL_3.geojson",
             shapes_level_2=f"{EU_NUTS2013_DATASET['folder']}/ref-nuts-2013-03m.geojson/NUTS_RG_03M_2013_4326_LEVL_2.geojson",
+        message:
+            "Retrieving EU NUTS 2013 data"
         run:
             copy2(input["shapes"], output["zip_file"])
             unpack_archive(output["zip_file"], Path(output.shapes_level_3).parent)
@@ -323,8 +324,6 @@ if (EU_NUTS2021_DATASET := dataset_version("eu_nuts2021"))["source"] in [
 ]:
 
     rule retrieve_eu_nuts_2021:
-        message:
-            "Retrieving EU NUTS 2021 data"
         input:
             shapes=storage(EU_NUTS2021_DATASET["url"]),
         output:
@@ -336,6 +335,8 @@ if (EU_NUTS2021_DATASET := dataset_version("eu_nuts2021"))["source"] in [
             shapes_level_2=f"{EU_NUTS2021_DATASET['folder']}/ref-nuts-2021-01m.geojson/NUTS_RG_01M_2021_4326_LEVL_2.geojson",
             shapes_level_1=f"{EU_NUTS2021_DATASET['folder']}/ref-nuts-2021-01m.geojson/NUTS_RG_01M_2021_4326_LEVL_1.geojson",
             shapes_level_0=f"{EU_NUTS2021_DATASET['folder']}/ref-nuts-2021-01m.geojson/NUTS_RG_01M_2021_4326_LEVL_0.geojson",
+        message:
+            "Retrieving EU NUTS 2021 data"
         run:
             copy2(input["shapes"], output["zip_file"])
             unpack_archive(output["zip_file"], Path(output.shapes_level_3).parent)
@@ -354,9 +355,9 @@ if (
             geojson=f"{BIDDING_ZONES_ELECTRICITYMAPS_DATASET['folder']}/bidding_zones_electricitymaps.geojson",
         log:
             "logs/retrieve_bidding_zones_electricitymaps.log",
+        retries: 2
         resources:
             mem_mb=1000,
-        retries: 2
         run:
             copy2(input["geojson"], output["geojson"])
 
@@ -370,9 +371,9 @@ if (BIDDING_ZONES_ENTSOEPY_DATASET := dataset_version("bidding_zones_entsoepy"))
             geojson=f"{BIDDING_ZONES_ENTSOEPY_DATASET['folder']}/bidding_zones_entsoepy.geojson",
         log:
             "logs/retrieve_bidding_zones_entsoepy.log",
+        retries: 2
         resources:
             mem_mb=1000,
-        retries: 2
         run:
             import entsoe
             import geopandas as gpd
@@ -417,17 +418,17 @@ if (BIDDING_ZONES_ENTSOEPY_DATASET := dataset_version("bidding_zones_entsoepy"))
 if (CUTOUT_DATASET := dataset_version("cutout"))["source"] in ARCHIVE_SOURCES:
 
     rule retrieve_cutout:
-        message:
-            "Retrieving cutout data for {wildcards.cutout}"
         input:
             storage(CUTOUT_DATASET["url"] + "/{cutout}.nc"),
         output:
             CUTOUT_DATASET["folder"] + "/{cutout}.nc",
         log:
             "logs/retrieve_cutout/{cutout}.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving cutout data for {wildcards.cutout}"
         run:
             copy2(input[0], output[0])
 
@@ -437,12 +438,12 @@ if (COUNTRY_RUNOFF_DATASET := dataset_version("country_runoff"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_country_runoff:
-        message:
-            "Retrieving country runoff data"
         input:
             storage(COUNTRY_RUNOFF_DATASET["url"]),
         output:
             era5_runoff=f"{COUNTRY_RUNOFF_DATASET['folder']}/era5-runoff-per-country.csv",
+        message:
+            "Retrieving country runoff data"
         run:
             copy2(input[0], output[0])
 
@@ -450,12 +451,12 @@ if (COUNTRY_RUNOFF_DATASET := dataset_version("country_runoff"))[
 if (COUNTRY_HDD_DATASET := dataset_version("country_hdd"))["source"] in ARCHIVE_SOURCES:
 
     rule retrieve_country_hdd:
-        message:
-            "Retrieving country heating degree days data"
         input:
             storage(COUNTRY_HDD_DATASET["url"]),
         output:
             era5_runoff=f"{COUNTRY_HDD_DATASET['folder']}/era5-HDD-per-country.csv",
+        message:
+            "Retrieving country heating degree days data"
         run:
             copy2(input[0], output[0])
 
@@ -466,12 +467,12 @@ if (COSTS_DATASET := dataset_version("costs"))["source"] in [
 ]:
 
     rule retrieve_cost_data:
-        message:
-            "Retrieving cost data for {wildcards.planning_horizons}"
         input:
             costs=storage(COSTS_DATASET["url"] + "/costs_{planning_horizons}.csv"),
         output:
             costs=COSTS_DATASET["folder"] + "/costs_{planning_horizons}.csv",
+        message:
+            "Retrieving cost data for {wildcards.planning_horizons}"
         run:
             copy2(input["costs"], output["costs"])
 
@@ -482,12 +483,12 @@ if (POWERPLANTS_DATASET := dataset_version("powerplants"))["source"] in [
 ]:
 
     rule retrieve_powerplants:
-        message:
-            "Retrieving powerplants data"
         input:
             powerplants=storage(POWERPLANTS_DATASET["url"]),
         output:
             powerplants=f"{POWERPLANTS_DATASET['folder']}/powerplants.csv",
+        message:
+            "Retrieving powerplants data"
         run:
             copy2(input["powerplants"], output["powerplants"])
 
@@ -498,8 +499,6 @@ if (SCIGRID_GAS_DATASET := dataset_version("scigrid_gas"))["source"] in [
 ]:
 
     rule retrieve_gas_infrastructure_data:
-        message:
-            "Retrieving SciGRID gas infrastructure data"
         input:
             zip_file=storage(SCIGRID_GAS_DATASET["url"]),
         output:
@@ -507,6 +506,8 @@ if (SCIGRID_GAS_DATASET := dataset_version("scigrid_gas"))["source"] in [
             entry=f"{SCIGRID_GAS_DATASET['folder']}/data/IGGIELGN_BorderPoints.geojson",
             storage=f"{SCIGRID_GAS_DATASET['folder']}/data/IGGIELGN_Storages.geojson",
             gas_network=f"{SCIGRID_GAS_DATASET['folder']}/data/IGGIELGN_PipeSegments.geojson",
+        message:
+            "Retrieving SciGRID gas infrastructure data"
         run:
             copy2(input["zip_file"], output["zip_file"])
             output_folder = Path(output["zip_file"]).parent
@@ -518,17 +519,17 @@ if (OPSD_DEMAND_DATA := dataset_version("opsd_electricity_demand"))["source"] in
 ]:
 
     rule retrieve_electricity_demand_opsd:
-        message:
-            "Retrieving electricity demand data from OPSD from build source"
-        params:
-            versions=["2019-06-05", "2020-10-06"],
         output:
             csv=f"{OPSD_DEMAND_DATA['folder']}/electricity_demand_opsd_raw.csv",
         log:
             "logs/retrieve_electricity_demand_opsd.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        params:
+            versions=["2019-06-05", "2020-10-06"],
+        message:
+            "Retrieving electricity demand data from OPSD from build source"
         script:
             scripts("retrieve_electricity_demand_opsd.py")
 
@@ -538,13 +539,13 @@ if (OPSD_DEMAND_DATA := dataset_version("opsd_electricity_demand"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_electricity_demand_opsd:
-        message:
-            "Retrieving electricity demand data from OPSD from archive"
         input:
             csv=storage(OPSD_DEMAND_DATA["url"]),
         output:
             csv=f"{OPSD_DEMAND_DATA['folder']}/electricity_demand_opsd_raw.csv",
         retries: 2
+        message:
+            "Retrieving electricity demand data from OPSD from archive"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -594,24 +595,22 @@ if (ENTSOE_DEMAND_DATA := dataset_version("entsoe_electricity_demand"))["source"
     ]
 
     rule retrieve_electricity_demand_entsoe_country:
-        message:
-            "Retrieving electricity demand data from ENTSO-E for {wildcards.country}"
-        params:
-            entsoe_token=os.environ.get("ENTSOE_API_TOKEN", ""),
         output:
             csv=f"{ENTSOE_DEMAND_DATA['folder']}"
             + "/electricity_demand_entsoe_raw_{country}.csv",
         log:
             "logs/retrieve_electricity_demand_entsoe_{country}.log",
+        retries: 2
         resources:
             mem_mb=2000,
-        retries: 2
+        params:
+            entsoe_token=os.environ.get("ENTSOE_API_TOKEN", ""),
+        message:
+            "Retrieving electricity demand data from ENTSO-E for {wildcards.country}"
         script:
             scripts("retrieve_electricity_demand_entsoe.py")
 
     rule retrieve_electricity_demand_entsoe:
-        message:
-            "Retrieving electricity demand data from ENTSO-E from build source"
         input:
             csvs=expand(
                 f"{ENTSOE_DEMAND_DATA['folder']}"
@@ -620,6 +619,8 @@ if (ENTSOE_DEMAND_DATA := dataset_version("entsoe_electricity_demand"))["source"
             ),
         output:
             csv=f"{ENTSOE_DEMAND_DATA['folder']}/electricity_demand_entsoe_raw.csv",
+        message:
+            "Retrieving electricity demand data from ENTSO-E from build source"
         run:
             import pandas as pd
 
@@ -633,13 +634,13 @@ if (ENTSOE_DEMAND_DATA := dataset_version("entsoe_electricity_demand"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_electricity_demand_entsoe:
-        message:
-            "Retrieving electricity demand data from ENTSO-E from archive"
         input:
             csv=storage(ENTSOE_DEMAND_DATA["url"]),
         output:
             csv=f"{ENTSOE_DEMAND_DATA['folder']}/electricity_demand_entsoe_raw.csv",
         retries: 2
+        message:
+            "Retrieving electricity demand data from ENTSO-E from archive"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -649,15 +650,15 @@ if (NESO_DEMAND_DATA := dataset_version("neso_electricity_demand"))["source"] in
 ]:
 
     rule retrieve_electricity_demand_neso:
-        message:
-            "Retrieving electricity demand data from NESO from build source"
         output:
             csv=f"{NESO_DEMAND_DATA['folder']}/electricity_demand_neso_raw.csv",
         log:
             "logs/retrieve_electricity_demand_neso.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving electricity demand data from NESO from build source"
         script:
             scripts("retrieve_electricity_demand_neso.py")
 
@@ -667,13 +668,13 @@ if (NESO_DEMAND_DATA := dataset_version("neso_electricity_demand"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_electricity_demand_neso:
-        message:
-            "Retrieving electricity demand data from NESO from archive"
         input:
             csv=storage(NESO_DEMAND_DATA["url"]),
         output:
             csv=f"{NESO_DEMAND_DATA['folder']}/electricity_demand_neso_raw.csv",
         retries: 2
+        message:
+            "Retrieving electricity demand data from NESO from archive"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -688,34 +689,111 @@ if (
 ]:
 
     rule retrieve_synthetic_electricity_demand:
-        message:
-            "Retrieving synthetic electricity demand data"
         input:
             csv=storage(SYNTHETIC_ELECTRICITY_DEMAND_DATASET["url"]),
         output:
             csv=f"{SYNTHETIC_ELECTRICITY_DEMAND_DATASET['folder']}/load_synthetic_raw.csv",
         retries: 2
+        message:
+            "Retrieving synthetic electricity demand data"
         run:
             copy2(input["csv"], output["csv"])
 
 
+if (ENERGY_ATLAS_DATASET := dataset_version("jrc_energy_atlas"))["source"] in [
+    "primary",
+    "archive",
+]:
+
+    rule retrieve_electricity_demand_energy_atlas:
+        output:
+            tif=f"{ENERGY_ATLAS_DATASET['folder']}/electricity_tot_demand_2019.tif",
+        message:
+            "Retrieving JRC Energy Atlas electricity demand data raster"
+        run:
+            import requests
+
+            url = ENERGY_ATLAS_DATASET["url"]
+            response = requests.get(url)
+            response.raise_for_status()
+            with open(output["tif"], "wb") as f:
+                f.write(response.content)
+
+
+
+if (
+    DESNZ_ELECTRICITY_CONSUMPTION_DATASET := dataset_version(
+        "desnz_electricity_consumption"
+    )
+)["source"] in ["primary", "archive"]:
+
+    rule retrieve_desnz_electricity_consumption:
+        output:
+            xlsx=f"{DESNZ_ELECTRICITY_CONSUMPTION_DATASET['folder']}/Subnational_electricity_consumption_statistics_2005-2024.xlsx",
+        message:
+            "Retrieving DESNZ subnational electricity consumption data"
+        run:
+            import requests
+
+            url = DESNZ_ELECTRICITY_CONSUMPTION_DATASET["url"]
+            response = requests.get(url)
+            response.raise_for_status()
+            with open(output["xlsx"], "wb") as f:
+                f.write(response.content)
+
+
+
+if (ONS_LAD_DATASET := dataset_version("ons_lad"))["source"] in ["archive"]:
+
+    rule retrieve_ons_lad:
+        input:
+            geojson=storage(ONS_LAD_DATASET["url"]),
+        output:
+            geojson=f"{ONS_LAD_DATASET['folder']}/Local_Authority_Districts_May_2024_Boundaries__UK_BSC.geojson",
+        message:
+            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
+        run:
+            copy2(input["geojson"], output["geojson"])
+
+elif ONS_LAD_DATASET["source"] in ["primary"]:
+
+    rule retrieve_ons_lad:
+        output:
+            geojson=f"{ONS_LAD_DATASET['folder']}/Local_Authority_Districts_May_2024_Boundaries__UK_BSC.geojson",
+        message:
+            "Retrieving UK ONS Local Authority Districts (LAD) Boundaries data"
+        run:
+            import requests
+
+            url = ONS_LAD_DATASET["url"]
+            params = {
+                "outFields": "*",
+                "where": "1=1",
+                "f": "geojson",
+            }
+            response = requests.get(url, params=params)
+            with open(output["geojson"], "wb") as f:
+                f.write(response.content)
+
+
+
 if (SHIP_RASTER_DATASET := dataset_version("ship_raster"))["source"] in [
     "primary",
     *ARCHIVE_SOURCES,
 ]:
 
     rule retrieve_ship_raster:
-        message:
-            "Retrieving shipping raster data"
         input:
             zip_file=storage(SHIP_RASTER_DATASET["url"]),
         output:
             zip_file=f"{SHIP_RASTER_DATASET['folder']}/shipdensity_global.zip",
         log:
             "logs/retrieve_ship_raster.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving shipping raster data"
         run:
             copy2(input["zip_file"], output["zip_file"])
 
@@ -726,13 +804,13 @@ if (ENSPRESO_BIOMASS_DATASET := dataset_version("enspreso_biomass"))["source"] i
 ]:
 
     rule retrieve_enspreso_biomass:
-        message:
-            "Retrieving ENSPRESO biomass data"
         input:
             xlsx=storage(ENSPRESO_BIOMASS_DATASET["url"]),
         output:
             xlsx=f"{ENSPRESO_BIOMASS_DATASET['folder']}/ENSPRESO_BIOMASS.xlsx",
         retries: 1
+        message:
+            "Retrieving ENSPRESO biomass data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -745,13 +823,13 @@ if (HOTMAPS_INDUSTRIAL_SITES := dataset_version("hotmaps_industrial_sites"))[
 ]:
 
     rule retrieve_hotmaps_industrial_sites:
-        message:
-            "Retrieving Hotmaps industrial sites"
         input:
             csv=storage(HOTMAPS_INDUSTRIAL_SITES["url"]),
         output:
             csv=f"{HOTMAPS_INDUSTRIAL_SITES['folder']}/Industrial_Database.csv",
         retries: 1
+        message:
+            "Retrieving Hotmaps industrial sites"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -764,13 +842,13 @@ if (NITROGEN_STATISTICS_DATASET := dataset_version("nitrogen_statistics"))[
 ]:
 
     rule retrieve_nitrogen_statistics:
-        message:
-            "Retrieving nitrogen statistics data"
         input:
             xlsx=storage(NITROGEN_STATISTICS_DATASET["url"]),
         output:
             xlsx=f"{NITROGEN_STATISTICS_DATASET['folder']}/nitro-ert.xlsx",
         retries: 1
+        message:
+            "Retrieving nitrogen statistics data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -782,12 +860,12 @@ if (COPERNICUS_LAND_COVER_DATASET := dataset_version("copernicus_land_cover"))[
     # Downloading Copernicus Global Land Cover for land cover and land use:
     # Website: https://land.copernicus.eu/global/products/lc
     rule download_copernicus_land_cover:
-        message:
-            "Retrieving Copernicus land cover data"
         input:
             tif=storage(COPERNICUS_LAND_COVER_DATASET["url"]),
         output:
             tif=f"{COPERNICUS_LAND_COVER_DATASET['folder']}/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
+        message:
+            "Retrieving Copernicus land cover data"
         run:
             copy2(input["tif"], output["tif"])
 
@@ -800,12 +878,12 @@ if (LUISA_LAND_COVER_DATASET := dataset_version("luisa_land_cover"))["source"] i
     # Downloading LUISA Base Map for land cover and land use:
     # Website: https://ec.europa.eu/jrc/en/luisa
     rule retrieve_luisa_land_cover:
-        message:
-            "Retrieving LUISA land cover data"
         input:
             tif=storage(LUISA_LAND_COVER_DATASET["url"]),
         output:
             tif=f"{LUISA_LAND_COVER_DATASET['folder']}/LUISA_basemap_020321_50m.tif",
+        message:
+            "Retrieving LUISA land cover data"
         run:
             copy2(input["tif"], output["tif"])
 
@@ -813,11 +891,11 @@ if (LUISA_LAND_COVER_DATASET := dataset_version("luisa_land_cover"))["source"] i
 if (EEZ_DATASET := dataset_version("eez"))["source"] in ["primary"]:
 
     rule retrieve_eez:
-        message:
-            "Retrieving EEZ data"
         output:
             zip_file=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR.zip",
             gpkg=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR/eez_{EEZ_DATASET['version'].split('_')[0]}_lowres.gpkg",
+        message:
+            "Retrieving EEZ data"
         run:
             from uuid import uuid4
 
@@ -847,8 +925,6 @@ if (EEZ_DATASET := dataset_version("eez"))["source"] in ["primary"]:
 elif (EEZ_DATASET := dataset_version("eez"))["source"] in ARCHIVE_SOURCES:
 
     rule retrieve_eez:
-        message:
-            "Retrieving EEZ data"
         input:
             zip_file=storage(
                 EEZ_DATASET["url"],
@@ -856,6 +932,8 @@ elif (EEZ_DATASET := dataset_version("eez"))["source"] in ARCHIVE_SOURCES:
         output:
             zip_file=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR.zip",
             gpkg=f"{EEZ_DATASET['folder']}/World_EEZ_{EEZ_DATASET['version']}_LR/eez_{EEZ_DATASET['version'].split('_')[0]}_lowres.gpkg",
+        message:
+            "Retrieving EEZ data"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input["zip_file"], output["zip_file"])
@@ -868,13 +946,13 @@ if (WB_URB_POP_DATASET := dataset_version("worldbank_urban_population"))["source
 ]:
 
     rule retrieve_worldbank_urban_population:
-        message:
-            "Retrieving World Bank urban population data"
         input:
             zip=storage(WB_URB_POP_DATASET["url"]),
         output:
             zip=f"{WB_URB_POP_DATASET['folder']}/API_SP.URB.TOTL.IN.ZS_DS2_en_csv_v2.zip",
             csv=f"{WB_URB_POP_DATASET['folder']}/API_SP.URB.TOTL.IN.ZS_DS2_en_csv_v2.csv",
+        message:
+            "Retrieving World Bank urban population data"
         run:
             copy2(input["zip"], output["zip"])
             unpack_archive(output["zip"], WB_URB_POP_DATASET["folder"])
@@ -896,8 +974,6 @@ if (CO2STOP_DATASET := dataset_version("co2stop"))["source"] in [
 ]:
 
     rule retrieve_co2stop:
-        message:
-            "Retrieving CO2STOP data"
         input:
             zip_file=storage(CO2STOP_DATASET["url"]),
         output:
@@ -908,6 +984,8 @@ if (CO2STOP_DATASET := dataset_version("co2stop"))["source"] in [
             traps_table2=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_DataInterrogationSystem/Hydrocarbon_Traps_Temp.csv",
             traps_table3=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_DataInterrogationSystem/Hydrocarbon_Traps1.csv",
             traps_map=f"{CO2STOP_DATASET['folder']}/CO2JRC_OpenFormats/CO2Stop_Polygons Data/DaughterUnits_March13.kml",
+        message:
+            "Retrieving CO2STOP data"
         run:
             output_folder = Path(output["zip_file"]).parent
             output_folder.mkdir(parents=True, exist_ok=True)
@@ -923,12 +1001,12 @@ if (GEM_EUROPE_GAS_TRACKER_DATASET := dataset_version("gem_europe_gas_tracker"))
 ]:
 
     rule retrieve_gem_europe_gas_tracker:
-        message:
-            "Retrieving GEM Europe Gas Tracker data"
         input:
             xlsx=storage(GEM_EUROPE_GAS_TRACKER_DATASET["url"]),
         output:
             xlsx="data/gem/Europe-Gas-Tracker-2024-05.xlsx",
+        message:
+            "Retrieving GEM Europe Gas Tracker data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -939,12 +1017,12 @@ if (GEM_GSPT_DATASET := dataset_version("gem_gspt"))["source"] in [
 ]:
 
     rule retrieve_gem_steel_plant_tracker:
-        message:
-            "Retrieving GEM Global Steel Plant Tracker data"
         input:
             xlsx=storage(GEM_GSPT_DATASET["url"]),
         output:
             xlsx=f"{GEM_GSPT_DATASET['folder']}/Global-Steel-Plant-Tracker.xlsx",
+        message:
+            "Retrieving GEM Global Steel Plant Tracker data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -971,12 +1049,12 @@ if (BFS_ROAD_VEHICLE_STOCK_DATASET := dataset_version("bfs_road_vehicle_stock"))
 ]:
 
     rule retrieve_bfs_road_vehicle_stock:
-        message:
-            "Retrieving BFS road vehicle stock data"
         input:
             csv=storage(BFS_ROAD_VEHICLE_STOCK_DATASET["url"]),
         output:
             csv=f"{BFS_ROAD_VEHICLE_STOCK_DATASET['folder']}/vehicle_stock.csv",
+        message:
+            "Retrieving BFS road vehicle stock data"
         run:
             copy2(input["csv"], output["csv"])
 
@@ -989,12 +1067,12 @@ if (BFS_GDP_AND_POPULATION_DATASET := dataset_version("bfs_gdp_and_population"))
 ]:
 
     rule retrieve_bfs_gdp_and_population:
-        message:
-            "Retrieving BFS GDP and population data"
         input:
             xlsx=storage(BFS_GDP_AND_POPULATION_DATASET["url"]),
         output:
             xlsx=f"{BFS_GDP_AND_POPULATION_DATASET['folder']}/gdp_and_population.xlsx",
+        message:
+            "Retrieving BFS GDP and population data"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -1046,13 +1124,13 @@ if (WDPA_DATASET := dataset_version("wdpa"))["source"] in [
     # extract the main zip and then merge the contained 3 zipped shapefiles
     # Website: https://www.protectedplanet.net/en/thematic-areas/wdpa
     rule retrieve_wdpa:
-        message:
-            "Downloading protected area database from WDPA"
         input:
             zip_file=storage(get_wdpa_url(WDPA_DATASET)),
         output:
             zip_file=f"{WDPA_DATASET['folder']}/WDPA_shp.zip",
             gpkg=f"{WDPA_DATASET['folder']}/WDPA.gpkg",
+        message:
+            "Downloading protected area database from WDPA"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input["zip_file"], output["zip_file"])
@@ -1080,16 +1158,16 @@ if (WDPA_MARINE_DATASET := dataset_version("wdpa_marine"))["source"] in [
 ]:
 
     rule retrieve_wdpa_marine:
-        # Downloading Marine protected area database from WDPA
-        # extract the main zip and then merge the contained 3 zipped shapefiles
-        # Website: https://www.protectedplanet.net/en/thematic-areas/marine-protected-areas
-        message:
-            "Downloading Marine protected area database from WDPA"
         input:
             zip_file=storage(get_wdpa_url(WDPA_MARINE_DATASET)),
         output:
             zip_file=f"{WDPA_MARINE_DATASET['folder']}/WDPA_WDOECM_marine.zip",
             gpkg=f"{WDPA_MARINE_DATASET['folder']}/WDPA_WDOECM_marine.gpkg",
+        # Downloading Marine protected area database from WDPA
+        # extract the main zip and then merge the contained 3 zipped shapefiles
+        # Website: https://www.protectedplanet.net/en/thematic-areas/marine-protected-areas
+        message:
+            "Downloading Marine protected area database from WDPA"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input["zip_file"], output["zip_file"])
@@ -1114,15 +1192,15 @@ if (INSTRAT_CO2_PRICES_DATASET := dataset_version("instrat_co2_prices"))["source
 ]:
 
     rule retrieve_co2_prices:
-        message:
-            "Retrieving CO2 emission allowances price in EU ETS system"
         output:
             csv=f"{INSTRAT_CO2_PRICES_DATASET['folder']}/prices_eu_ets_all.csv",
         log:
             "logs/retrieve_co2_prices.log",
+        retries: 2
         resources:
             mem_mb=5000,
-        retries: 2
+        message:
+            "Retrieving CO2 emission allowances price in EU ETS system"
         run:
             import pandas as pd
 
@@ -1145,12 +1223,12 @@ if (
 )["source"] in ["primary", *ARCHIVE_SOURCES]:
 
     rule retrieve_worldbank_commodity_prices:
-        message:
-            "Retrieving monthly commodity price time series (including fossil fuels)"
         input:
             xlsx=storage(WORLD_BANK_COMMODITY_PRICES_DATASET["url"]),
         output:
             xlsx=f"{WORLD_BANK_COMMODITY_PRICES_DATASET['folder']}/CMO-Historical-Data-Monthly.xlsx",
+        message:
+            "Retrieving monthly commodity price time series (including fossil fuels)"
         run:
             copy2(input["xlsx"], output["xlsx"])
 
@@ -1163,8 +1241,6 @@ if (TYNDP_DATASET := dataset_version("tyndp"))["source"] in [
     if not config["tyndp_scenario"]:
 
         rule retrieve_tyndp:
-            message:
-                "Retrieving TYNDP network topology data"
             input:
                 line_data=storage(TYNDP_DATASET["url"] + "/Line-data.zip"),
                 nodes=storage(TYNDP_DATASET["url"] + "/Nodes.zip"),
@@ -1175,6 +1251,8 @@ if (TYNDP_DATASET := dataset_version("tyndp"))["source"] in [
                 nodes=f"{TYNDP_DATASET['folder']}/Nodes/LIST OF NODES.xlsx",
             log:
                 "logs/retrieve_tyndp.log",
+            message:
+                "Retrieving TYNDP network topology data"
             run:
                 for key in input.keys():
                     # Keep zip file
@@ -1191,8 +1269,6 @@ if (TYNDP_DATASET := dataset_version("tyndp"))["source"] in [
     else:
 
         rule retrieve_tyndp:
-            message:
-                "Retrieving TYNDP 2024 data package"
             input:
                 line_data=storage(TYNDP_DATASET["url"] + "/Line-data.zip"),
                 nodes=storage(TYNDP_DATASET["url"] + "/Nodes.zip"),
@@ -1268,6 +1344,8 @@ if (TYNDP_DATASET := dataset_version("tyndp"))["source"] in [
                 market_outputs_NT2040_CY2009=f"{TYNDP_DATASET['folder']}/MMStandardOutputFile_NT2040_Plexos_CY2009_2.5_v40.xlsx",
             log:
                 "logs/retrieve_tyndp.log",
+            message:
+                "Retrieving TYNDP 2024 data package"
             run:
                 for key in input.keys():
                     # Keep zip file
@@ -1341,8 +1419,6 @@ if OSM_DATASET["source"] in ARCHIVE_SOURCES:
     OSM_ARCHIVE_FILES = get_osm_archive_files(OSM_DATASET["version"])
 
     rule retrieve_osm_archive:
-        message:
-            "Retrieving OSM archive data"
         input:
             **{
                 file: storage(f"{OSM_DATASET['url']}/{file}")
@@ -1355,6 +1431,8 @@ if OSM_DATASET["source"] in ARCHIVE_SOURCES:
         threads: 1
         resources:
             mem_mb=500,
+        message:
+            "Retrieving OSM archive data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1380,8 +1458,6 @@ if OSM_DATASET_INCUMBENT["source"] in ARCHIVE_SOURCES and OSM_DATASET_INCUMBENT[
     )
 
     rule retrieve_osm_archive_incumbent:
-        message:
-            "Retrieving OSM archive incumbent data"
         input:
             **{
                 file: storage(f"{OSM_DATASET_INCUMBENT['url']}/{file}")
@@ -1397,6 +1473,8 @@ if OSM_DATASET_INCUMBENT["source"] in ARCHIVE_SOURCES and OSM_DATASET_INCUMBENT[
         threads: 1
         resources:
             mem_mb=500,
+        message:
+            "Retrieving OSM archive incumbent data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1413,10 +1491,6 @@ if OSM_DATASET["source"] == "build":
     ]
 
     rule retrieve_osm_data_raw:
-        message:
-            "Retrieving OSM electricity grid raw data for {wildcards.country}"
-        params:
-            overpass_api=config_provider("overpass_api"),
         output:
             **{
                 file.replace(
@@ -1427,6 +1501,10 @@ if OSM_DATASET["source"] == "build":
         log:
             "logs/retrieve_osm_data_{country}.log",
         threads: 1
+        params:
+            overpass_api=config_provider("overpass_api"),
+        message:
+            "Retrieving OSM electricity grid raw data for {wildcards.country}"
         script:
             scripts("retrieve_osm_data.py")
 
@@ -1442,22 +1520,20 @@ if OSM_DATASET["source"] == "build":
 if (NATURA_DATASET := dataset_version("natura"))["source"] in ARCHIVE_SOURCES:
 
     rule retrieve_natura:
-        message:
-            "Retrieving Natura 2000 raster data"
         input:
             storage(NATURA_DATASET["url"]),
         output:
             f"{NATURA_DATASET['folder']}/natura.tiff",
         log:
             "logs/retrieve_natura.log",
+        message:
+            "Retrieving Natura 2000 raster data"
         run:
             copy2(input[0], output[0])
 
 elif NATURA_DATASET["source"] == "build":
 
     rule build_natura_raster:
-        message:
-            "Building Natura 2000 raster data"
         input:
             online=storage(NATURA_DATASET["url"]),
             cutout=lambda w: input_cutout(w),
@@ -1465,10 +1541,12 @@ elif NATURA_DATASET["source"] == "build":
             zip=f"{NATURA_DATASET['folder']}/raw/natura.zip",
             raw=directory(f"{NATURA_DATASET['folder']}/raw"),
             raster=f"{NATURA_DATASET['folder']}/natura.tiff",
-        resources:
-            mem_mb=5000,
         log:
             "logs/build_natura.log",
+        resources:
+            mem_mb=5000,
+        message:
+            "Building Natura 2000 raster data"
         script:
             scripts("build_natura.py")
 
@@ -1478,13 +1556,13 @@ if (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))["source"] in [
 ]:
 
     rule retrieve_osm_boundaries:
-        message:
-            "Retrieving OSM admin boundaries for {wildcards.country}"
         output:
             json=f"{OSM_BOUNDARIES_DATASET['folder']}/{country}_adm1.json",
         log:
             "logs/retrieve_osm_boundaries_{country}_adm1.log",
         threads: 1
+        message:
+            "Retrieving OSM admin boundaries for {wildcards.country}"
         script:
             scripts("retrieve_osm_boundaries.py")
 
@@ -1493,8 +1571,6 @@ elif (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_osm_boundaries:
-        message:
-            "Retrieving OSM admin boundaries data"
         input:
             storage(
                 f"{OSM_BOUNDARIES_DATASET['url']}",
@@ -1505,6 +1581,8 @@ elif (OSM_BOUNDARIES_DATASET := dataset_version("osm_boundaries"))[
             json3=f"{OSM_BOUNDARIES_DATASET['folder']}/MD_adm1.json",
             json4=f"{OSM_BOUNDARIES_DATASET['folder']}/BA_adm1.json",
             zip_file=f"{OSM_BOUNDARIES_DATASET['folder']}/osm_boundaries.zip",
+        message:
+            "Retrieving OSM admin boundaries data"
         run:
             output_folder = Path(output["zip_file"]).parent
             copy2(input[0], output["zip_file"])
@@ -1518,8 +1596,6 @@ if (
 )["source"] in ["primary", *ARCHIVE_SOURCES]:
 
     rule retrieve_geothermal_heat_utilisation_potentials:
-        message:
-            "Retrieving geothermal heat utilisation potentials"
         input:
             isi_heat_potentials=storage(
                 GEOTHERMAL_HEAT_UTILISATION_POTENTIALS_DATASET["url"]
@@ -1528,8 +1604,10 @@ if (
             isi_heat_potentials=f"{GEOTHERMAL_HEAT_UTILISATION_POTENTIALS_DATASET['folder']}/isi_heat_utilisation_potentials.xlsx",
         log:
             "logs/retrieve_geothermal_heat_utilisation_potentials.log",
-        threads: 1
         retries: 2
+        threads: 1
+        message:
+            "Retrieving geothermal heat utilisation potentials"
         run:
             copy2(input["isi_heat_potentials"], output["isi_heat_potentials"])
 
@@ -1540,37 +1618,35 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
 ]:
 
     rule retrieve_lau_regions:
-        message:
-            "Retrieving Local Administrative Units and Administation Unit regions"
         input:
             lau_regions=storage(LAU_REGIONS_DATASET["url"]),
         output:
             zip=f"{LAU_REGIONS_DATASET['folder']}/lau_regions.zip",
         log:
             "logs/retrieve_lau_regions.log",
-        threads: 1
         retries: 2
+        threads: 1
+        message:
+            "Retrieving Local Administrative Units and Administation Unit regions"
         run:
             copy2(input["lau_regions"], output["zip"])
 
     rule retrieve_seawater_temperature:
-        message:
-            "Retrieving seawater temperature data for {wildcards.year}"
-        params:
-            default_cutout=config_provider("atlite", "default_cutout"),
-            test_data_url=dataset_version("seawater_temperature")["url"],
         output:
             seawater_temperature="data/seawater_temperature_{year}.nc",
         log:
             "logs/retrieve_seawater_temperature_{year}.log",
         resources:
             mem_mb=10000,
+        params:
+            default_cutout=config_provider("atlite", "default_cutout"),
+            test_data_url=dataset_version("seawater_temperature")["url"],
+        message:
+            "Retrieving seawater temperature data for {wildcards.year}"
         script:
             scripts("retrieve_seawater_temperature.py")
 
     rule retrieve_hera_data_test_cutout:
-        message:
-            "Retrieving HERA test cutout data"
         input:
             hera_data_url=storage(
                 f"https://zenodo.org/records/15828866/files/hera_be_2013-03-01_to_2013-03-08.zip"
@@ -1578,19 +1654,19 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
         output:
             river_discharge=f"data/hera_be_2013-03-01_to_2013-03-08/river_discharge_be_2013-03-01_to_2013-03-08.nc",
             ambient_temperature=f"data/hera_be_2013-03-01_to_2013-03-08/ambient_temp_be_2013-03-01_to_2013-03-08.nc",
-        params:
-            folder="data",
         log:
             "logs/retrieve_hera_data_test_cutout.log",
+        retries: 2
         resources:
             mem_mb=10000,
-        retries: 2
+        params:
+            folder="data",
+        message:
+            "Retrieving HERA test cutout data"
         run:
             unpack_archive(input[0], params.folder)
 
     rule retrieve_hera_data:
-        message:
-            "Retrieving HERA data for {wildcards.year}"
         input:
             river_discharge=storage(
                 "https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/CEMS-EFAS/HERA/VER1-0/Data/NetCDF/river_discharge/dis.HERA{year}.nc"
@@ -1601,13 +1677,15 @@ if (LAU_REGIONS_DATASET := dataset_version("lau_regions"))["source"] in [
         output:
             river_discharge="data/hera_{year}/river_discharge_{year}.nc",
             ambient_temperature="data/hera_{year}/ambient_temp_{year}.nc",
-        params:
-            snapshot_year="{year}",
         log:
             "logs/retrieve_hera_data_{year}.log",
+        retries: 2
         resources:
             mem_mb=10000,
-        retries: 2
+        params:
+            snapshot_year="{year}",
+        message:
+            "Retrieving HERA data for {wildcards.year}"
         run:
             move(input.river_discharge, output.river_discharge)
             move(input.ambient_temperature, output.ambient_temperature)
@@ -1618,8 +1696,6 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
 ]:
 
     rule retrieve_jrc_ardeco:
-        message:
-            "Retrieving JRC ARDECO data"
         input:
             ardeco_gdp=storage(
                 f"{JRC_ARDECO_DATASET['url']}/SUVGDP?versions=2021&unit=EUR&format=csv-table"
@@ -1630,6 +1706,8 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
         output:
             ardeco_gdp=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SUVGDP.2021.table.csv",
             ardeco_pop=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SNPTD.2021.table.csv",
+        message:
+            "Retrieving JRC ARDECO data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1638,8 +1716,6 @@ if (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in [
 elif (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in ARCHIVE_SOURCES:
 
     rule retrieve_jrc_ardeco:
-        message:
-            "Retrieving JRC ARDECO data"
         input:
             ardeco_gdp=storage(
                 f"{JRC_ARDECO_DATASET['url']}/ARDECO-SUVGDP.2021.table.csv"
@@ -1650,6 +1726,8 @@ elif (JRC_ARDECO_DATASET := dataset_version("jrc_ardeco"))["source"] in ARCHIVE_
         output:
             ardeco_gdp=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SUVGDP.2021.table.csv",
             ardeco_pop=f"{JRC_ARDECO_DATASET['folder']}/ARDECO-SNPTD.2021.table.csv",
+        message:
+            "Retrieving JRC ARDECO data"
         run:
             for key in input.keys():
                 copy2(input[key], output[key])
@@ -1662,8 +1740,6 @@ if (AQUIFER_DATA_DATASET := dataset_version("aquifer_data"))["source"] in [
 ]:
 
     rule retrieve_aquifer_data_bgr:
-        message:
-            "Retrieving BGR aquifer data"
         input:
             zip_file=storage(AQUIFER_DATA_DATASET["url"]),
         output:
@@ -1680,6 +1756,8 @@ if (AQUIFER_DATA_DATASET := dataset_version("aquifer_data"))["source"] in [
                     "sbx",
                 ],
             ),
+        message:
+            "Retrieving BGR aquifer data"
         run:
             copy2(input["zip_file"], output["zip_file"])
             unpack_archive(
@@ -1694,14 +1772,14 @@ if (DH_AREAS_DATASET := dataset_version("dh_areas"))["source"] in [
 ]:
 
     rule retrieve_dh_areas:
-        message:
-            "Retrieving District Heating areas"
         input:
             dh_areas=storage(DH_AREAS_DATASET["url"]),
         output:
             dh_areas=f"{DH_AREAS_DATASET['folder']}/dh_areas.gpkg",
         log:
             "logs/retrieve_dh_areas.log",
+        message:
+            "Retrieving District Heating areas"
         run:
             copy2(input["dh_areas"], output["dh_areas"])
 
@@ -1711,21 +1789,21 @@ if (MOBILITY_PROFILES_DATASET := dataset_version("mobility_profiles"))[
 ] in ARCHIVE_SOURCES:
 
     rule retrieve_mobility_profiles:
-        message:
-            "Retrieving mobility profiles data"
         input:
             kfz=storage(MOBILITY_PROFILES_DATASET["url"] + "/kfz.csv"),
             pkw=storage(MOBILITY_PROFILES_DATASET["url"] + "/pkw.csv"),
         output:
             kfz=f"{MOBILITY_PROFILES_DATASET['folder']}/kfz.csv",
             pkw=f"{MOBILITY_PROFILES_DATASET['folder']}/pkw.csv",
-        threads: 1
-        resources:
-            mem_mb=1000,
         log:
             "logs/retrieve_mobility_profiles.log",
         benchmark:
             "benchmarks/performances/retrieve_mobility_profiles"
+        threads: 1
+        resources:
+            mem_mb=1000,
+        message:
+            "Retrieving mobility profiles data"
         run:
             copy2(input["kfz"], output["kfz"])
             copy2(input["pkw"], output["pkw"])
diff --git a/rules/sb.smk b/rules/sb.smk
index 2ad37c85df..c6c7c121ab 100644
--- a/rules/sb.smk
+++ b/rules/sb.smk
@@ -138,13 +138,6 @@ if not "pre-built" in PECD_DATASET["version"]:
             return f"{str(int(major)+1)}.0"
 
     rule prepare_pecd_release:
-        params:
-            cyears=config_provider(
-                "electricity", "pecd_renewable_profiles", "pre_built", "cyears"
-            ),
-            available_pyears=config_provider(
-                "electricity", "pecd_renewable_profiles", "available_years"
-            ),
         input:
             pecd_raw=PECD_DATASET["folder"],
         output:
@@ -158,6 +151,13 @@ if not "pre-built" in PECD_DATASET["version"]:
         threads: 4
         resources:
             mem_mb=1000,
+        params:
+            cyears=config_provider(
+                "electricity", "pecd_renewable_profiles", "pre_built", "cyears"
+            ),
+            available_pyears=config_provider(
+                "electricity", "pecd_renewable_profiles", "available_years"
+            ),
         script:
             scripts("sb/prepare_pecd_release.py")
 
@@ -168,11 +168,6 @@ if not "pre-built" in PECD_DATASET["version"]:
 if config["load"]["source"] == "tyndp":
 
     rule clean_tyndp_electricity_demand:
-        params:
-            planning_horizons=config_provider("scenario", "planning_horizons"),
-            snapshots=config_provider("snapshots"),
-            scenario=config_provider("tyndp_scenario"),
-            available_years=config_provider("load", "available_years_tyndp"),
         input:
             electricity_demand=rules.retrieve_tyndp.output.demand_profiles,
         output:
@@ -181,11 +176,16 @@ if config["load"]["source"] == "tyndp":
             logs("clean_tyndp_electricity_demand.log"),
         benchmark:
             benchmarks("performances/clean_tyndp_electricity_demand")
+        conda:
+            "../envs/environment.yaml"
         threads: 4
         resources:
             mem_mb=4000,
-        conda:
-            "../envs/environment.yaml"
+        params:
+            planning_horizons=config_provider("scenario", "planning_horizons"),
+            snapshots=config_provider("snapshots"),
+            scenario=config_provider("tyndp_scenario"),
+            available_years=config_provider("load", "available_years_tyndp"),
         script:
             scripts("sb/clean_tyndp_electricity_demand.py")
 
@@ -210,18 +210,6 @@ def get_pecd_prebuilt(w):
 
 
 rule clean_pecd_data:
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        fill_gaps_method=config_provider(
-            "electricity", "pecd_renewable_profiles", "fill_gaps_method"
-        ),
-        available_years=config_provider(
-            "electricity", "pecd_renewable_profiles", "available_years"
-        ),
-        prebuilt_years=config_provider(
-            "electricity", "pecd_renewable_profiles", "pre_built", "cyears"
-        ),
     input:
         pecd_prebuilt=get_pecd_prebuilt,
         offshore_buses=rules.retrieve_tyndp.output.offshore_nodes,
@@ -235,6 +223,18 @@ rule clean_pecd_data:
     threads: 4
     resources:
         mem_mb=4000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        fill_gaps_method=config_provider(
+            "electricity", "pecd_renewable_profiles", "fill_gaps_method"
+        ),
+        available_years=config_provider(
+            "electricity", "pecd_renewable_profiles", "available_years"
+        ),
+        prebuilt_years=config_provider(
+            "electricity", "pecd_renewable_profiles", "pre_built", "cyears"
+        ),
     script:
         scripts("sb/clean_pecd_data.py")
 
@@ -255,11 +255,6 @@ def input_data_pecd(w):
 
 
 rule build_renewable_profiles_pecd:
-    params:
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        available_years=config_provider(
-            "electricity", "pecd_renewable_profiles", "available_years"
-        ),
     input:
         unpack(input_data_pecd),
     output:
@@ -268,11 +263,16 @@ rule build_renewable_profiles_pecd:
         logs("build_renewable_profile_pecd_{clusters}_{technology}.log"),
     benchmark:
         benchmarks("performances/build_renewable_profile_pecd_{clusters}_{technology}")
+    wildcard_constraints:
+        technology="(?!hydro).*",  # Any technology other than hydro
     threads: 1
     resources:
         mem_mb=4000,
-    wildcard_constraints:
-        technology="(?!hydro).*",  # Any technology other than hydro
+    params:
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        available_years=config_provider(
+            "electricity", "pecd_renewable_profiles", "available_years"
+        ),
     script:
         scripts("sb/build_renewable_profiles_pecd.py")
 
@@ -284,14 +284,6 @@ pemmdb_techs = branch(
 
 
 rule build_pemmdb_data:
-    params:
-        pemmdb_techs=pemmdb_techs,
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        available_years=config_provider(
-            "electricity", "pemmdb_capacities", "available_years"
-        ),
-        tyndp_scenario=config_provider("tyndp_scenario"),
     input:
         pemmdb_dir=rules.retrieve_tyndp.output.pemmdb,
         carrier_mapping="data/tyndp_technology_map.csv",
@@ -301,11 +293,19 @@ rule build_pemmdb_data:
         pemmdb_profiles=resources("pemmdb_profiles_{planning_horizons}.nc"),
     log:
         logs("build_pemmdb_data_{planning_horizons}.log"),
+    benchmark:
+        benchmarks("performances/build_pemmdb_data_{planning_horizons}")
     threads: config_provider("electricity", "pemmdb_capacities", "nprocesses")
     resources:
         mem_mb=16000,
-    benchmark:
-        benchmarks("performances/build_pemmdb_data_{planning_horizons}")
+    params:
+        pemmdb_techs=pemmdb_techs,
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        available_years=config_provider(
+            "electricity", "pemmdb_capacities", "available_years"
+        ),
+        tyndp_scenario=config_provider("tyndp_scenario"),
     script:
         scripts("sb/build_pemmdb_data.py")
 
@@ -323,9 +323,6 @@ def get_h2_project_build_years(w):
 
 
 rule build_tyndp_transmission_projects:
-    params:
-        build_years_elec=get_elec_project_build_years,
-        build_years_h2=get_h2_project_build_years,
     input:
         buses_elec=rules.build_tyndp_network.output.substations_geojson,
         buses_h2=rules.build_tyndp_network.output.substations_h2_geojson,
@@ -337,16 +334,17 @@ rule build_tyndp_transmission_projects:
         logs("build_tyndp_transmission_projects_{planning_horizons}.log"),
     benchmark:
         benchmarks("performances/build_tyndp_transmission_projects_{planning_horizons}")
+    threads: 1
     resources:
         mem_mb=1000,
-    threads: 1
+    params:
+        build_years_elec=get_elec_project_build_years,
+        build_years_h2=get_h2_project_build_years,
     script:
         scripts("sb/build_tyndp_transmission_projects.py")
 
 
 rule build_tyndp_trajectories:
-    params:
-        tyndp_scenario=config_provider("tyndp_scenario"),
     input:
         trajectories=rules.retrieve_tyndp.output.trajectories,
         carrier_mapping="data/tyndp_technology_map.csv",
@@ -354,20 +352,16 @@ rule build_tyndp_trajectories:
         tyndp_trajectories=resources("tyndp_trajectories.csv"),
     log:
         logs("build_tyndp_trajectories.log"),
-    threads: 4
     benchmark:
         benchmarks("performances/build_tyndp_trajectories")
+    threads: 4
+    params:
+        tyndp_scenario=config_provider("tyndp_scenario"),
     script:
         scripts("sb/build_tyndp_trajectories.py")
 
 
 rule clean_tyndp_hydro_inflows:
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        available_years=config_provider(
-            "electricity", "pemmdb_hydro_profiles", "available_years"
-        ),
     input:
         hydro_inflows_dir=rules.retrieve_tyndp.output.hydro_inflows,
         busmap=resources("busmap_base_s_all.csv"),
@@ -377,10 +371,16 @@ rule clean_tyndp_hydro_inflows:
         ),
     log:
         logs("clean_tyndp_hydro_inflows_{tech}_{planning_horizons}.log"),
-    threads: 4
-    retries: 2
     benchmark:
         benchmarks("performances/clean_tyndp_hydro_inflows_{tech}_{planning_horizons}")
+    retries: 2
+    threads: 4
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        available_years=config_provider(
+            "electricity", "pemmdb_hydro_profiles", "available_years"
+        ),
     script:
         scripts("sb/clean_tyndp_hydro_inflows.py")
 
@@ -412,16 +412,6 @@ def input_data_hydro_tyndp(w):
 
 
 rule build_tyndp_hydro_profile:
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        available_years=config_provider(
-            "electricity", "pemmdb_hydro_profiles", "available_years"
-        ),
-        technologies=config_provider(
-            "electricity", "pemmdb_hydro_profiles", "technologies"
-        ),
     input:
         unpack(input_data_hydro_tyndp),
         carrier_mapping="data/tyndp_technology_map.csv",
@@ -433,6 +423,16 @@ rule build_tyndp_hydro_profile:
         benchmarks("performances/build_tyndp_hydro_profile")
     resources:
         mem_mb=5000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        available_years=config_provider(
+            "electricity", "pemmdb_hydro_profiles", "available_years"
+        ),
+        technologies=config_provider(
+            "electricity", "pemmdb_hydro_profiles", "technologies"
+        ),
     script:
         scripts("sb/build_tyndp_hydro_profile.py")
 
@@ -440,6 +440,10 @@ rule build_tyndp_hydro_profile:
 use rule build_electricity_demand_base as build_electricity_demand_base_tyndp with:
     input:
         unpack(input_elec_demand_base),
+        raster=[],
+        gb_excel=[],
+        gb_geojson=[],
+        nuts3=[],
         load=resources("electricity_demand_{planning_horizons}.csv"),
     output:
         resources("electricity_demand_base_s_{planning_horizons}.nc"),
@@ -454,42 +458,42 @@ use rule build_electricity_demand_base as build_electricity_demand_base_tyndp wi
 
 
 rule build_tyndp_gas_demand:
-    params:
-        scenario=config_provider("tyndp_scenario"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
     input:
         supply_tool=rules.retrieve_tyndp.output.supply_tool,
     output:
         gas_demand=resources("gas_demand_tyndp_{planning_horizons}.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_tyndp_gas_demand_{planning_horizons}.log"),
     benchmark:
         benchmarks("performances/build_tyndp_gas_demand_{planning_horizons}")
     conda:
         "../envs/environment.yaml"
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        scenario=config_provider("tyndp_scenario"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
     script:
         scripts("sb/build_tyndp_gas_demand.py")
 
 
 rule build_tyndp_h2_demand:
-    params:
-        snapshots=config_provider("snapshots"),
-        drop_leap_day=config_provider("enable", "drop_leap_day"),
-        scenario=config_provider("tyndp_scenario"),
     input:
         h2_demand=rules.retrieve_tyndp.output.demand_profiles,
     output:
         h2_demand=resources("h2_demand_tyndp_{planning_horizons}.csv"),
-    threads: 1
-    resources:
-        mem_mb=1000,
     log:
         logs("build_tyndp_h2_demand_{planning_horizons}.log"),
     benchmark:
         benchmarks("performances/build_tyndp_h2_demand_{planning_horizons}")
+    threads: 1
+    resources:
+        mem_mb=1000,
+    params:
+        snapshots=config_provider("snapshots"),
+        drop_leap_day=config_provider("enable", "drop_leap_day"),
+        scenario=config_provider("tyndp_scenario"),
     script:
         scripts("sb/build_tyndp_h2_demand.py")
 
@@ -503,12 +507,6 @@ if config["sector"]["h2_topology_tyndp"]:
         return int(w.planning_horizons) in horizons
 
     rule build_tyndp_h2_network:
-        params:
-            snapshots=config_provider("snapshots"),
-            scenario=config_provider("tyndp_scenario"),
-            h2_reference_grid_source=config_provider(
-                "sector", "h2_reference_grid_source"
-            ),
         input:
             h2_reference_grid_entsoe=rules.retrieve_tyndp.output.h2_reference_grid_entsoe,
             h2_reference_grid_entsos=rules.retrieve_tyndp.output.h2_reference_grid_entsos,
@@ -523,11 +521,17 @@ if config["sector"]["h2_topology_tyndp"]:
             logs("build_tyndp_h2_network_{planning_horizons}.log"),
         benchmark:
             benchmarks("performances/build_tyndp_h2_network_{planning_horizons}")
+        conda:
+            "../envs/environment.yaml"
         threads: 1
         resources:
             mem_mb=4000,
-        conda:
-            "../envs/environment.yaml"
+        params:
+            snapshots=config_provider("snapshots"),
+            scenario=config_provider("tyndp_scenario"),
+            h2_reference_grid_source=config_provider(
+                "sector", "h2_reference_grid_source"
+            ),
         script:
             scripts("sb/build_tyndp_h2_network.py")
 
@@ -541,17 +545,15 @@ if config["sector"]["h2_topology_tyndp"]:
             logs("clean_tyndp_h2_imports.log"),
         benchmark:
             benchmarks("performances/clean_tyndp_h2_imports")
+        conda:
+            "../envs/environment.yaml"
         threads: 1
         resources:
             mem_mb=4000,
-        conda:
-            "../envs/environment.yaml"
         script:
             scripts("sb/clean_tyndp_h2_imports.py")
 
     rule build_tyndp_h2_imports:
-        params:
-            scenario=config_provider("tyndp_scenario"),
         input:
             import_potentials_prepped=rules.clean_tyndp_h2_imports.output.import_potentials_prepped,
         output:
@@ -562,18 +564,17 @@ if config["sector"]["h2_topology_tyndp"]:
             logs("build_tyndp_h2_imports_{planning_horizons}.log"),
         benchmark:
             benchmarks("performances/build_tyndp_h2_imports_{planning_horizons}")
+        conda:
+            "../envs/environment.yaml"
         threads: 1
         resources:
             mem_mb=4000,
-        conda:
-            "../envs/environment.yaml"
+        params:
+            scenario=config_provider("tyndp_scenario"),
         script:
             scripts("sb/build_tyndp_h2_imports.py")
 
     rule clean_tyndp_smr:
-        params:
-            tyndp_scenario=config_provider("tyndp_scenario"),
-            h2_zones_tyndp=config_provider("sector", "h2_zones_tyndp"),
         input:
             smr=rules.retrieve_tyndp.output.smr,
         output:
@@ -582,18 +583,18 @@ if config["sector"]["h2_topology_tyndp"]:
             logs("clean_tyndp_smr_{planning_horizons}.log"),
         benchmark:
             benchmarks("performances/clean_tyndp_smr_{planning_horizons}")
+        conda:
+            "../envs/environment.yaml"
         threads: 1
         resources:
             mem_mb=4000,
-        conda:
-            "../envs/environment.yaml"
+        params:
+            tyndp_scenario=config_provider("tyndp_scenario"),
+            h2_zones_tyndp=config_provider("sector", "h2_zones_tyndp"),
         script:
             "../scripts/sb/clean_tyndp_smr.py"
 
     rule clean_tyndp_h2_storages:
-        params:
-            tyndp_scenario=config_provider("tyndp_scenario"),
-            h2_zones_tyndp=config_provider("sector", "h2_zones_tyndp"),
         input:
             h2_storages=rules.retrieve_tyndp.output.h2_storages,
         output:
@@ -602,11 +603,14 @@ if config["sector"]["h2_topology_tyndp"]:
             logs("clean_tyndp_h2_storages_{planning_horizons}.log"),
         benchmark:
             benchmarks("performances/clean_tyndp_h2_storages_{planning_horizons}")
+        conda:
+            "../envs/environment.yaml"
         threads: 1
         resources:
             mem_mb=4000,
-        conda:
-            "../envs/environment.yaml"
+        params:
+            tyndp_scenario=config_provider("tyndp_scenario"),
+            h2_zones_tyndp=config_provider("sector", "h2_zones_tyndp"),
         script:
             "../scripts/sb/clean_tyndp_h2_storages.py"
 
@@ -614,13 +618,6 @@ if config["sector"]["h2_topology_tyndp"]:
 if config["sector"]["offshore_hubs_tyndp"]["enable"]:
 
     rule build_tyndp_offshore_hubs:
-        params:
-            planning_horizons=config_provider("scenario", "planning_horizons"),
-            scenario=config_provider("tyndp_scenario"),
-            countries=config_provider("countries"),
-            offshore_hubs_tyndp=config_provider("sector", "offshore_hubs_tyndp"),
-            extendable_carriers=config_provider("electricity", "extendable_carriers"),
-            h2_zones_tyndp=config_provider("sector", "h2_zones_tyndp"),
         input:
             nodes=rules.retrieve_tyndp.output.offshore_nodes,
             grid=rules.retrieve_tyndp.output.offshore_grid,
@@ -636,20 +633,23 @@ if config["sector"]["offshore_hubs_tyndp"]["enable"]:
             logs("build_tyndp_offshore_hubs.log"),
         benchmark:
             benchmarks("performances/build_tyndp_offshore_hubs")
+        conda:
+            "../envs/environment.yaml"
         threads: 1
         resources:
             mem_mb=4000,
-        conda:
-            "../envs/environment.yaml"
+        params:
+            planning_horizons=config_provider("scenario", "planning_horizons"),
+            scenario=config_provider("tyndp_scenario"),
+            countries=config_provider("countries"),
+            offshore_hubs_tyndp=config_provider("sector", "offshore_hubs_tyndp"),
+            extendable_carriers=config_provider("electricity", "extendable_carriers"),
+            h2_zones_tyndp=config_provider("sector", "h2_zones_tyndp"),
         script:
             scripts("sb/build_tyndp_offshore_hubs.py")
 
 
 rule group_tyndp_conventionals:
-    params:
-        tyndp_conventional_carriers=config_provider(
-            "electricity", "tyndp_conventional_carriers"
-        ),
     input:
         pemmdb_capacities=resources("pemmdb_capacities_{planning_horizon}.csv"),
         pemmdb_profiles=resources("pemmdb_profiles_{planning_horizon}.nc"),
@@ -665,11 +665,15 @@ rule group_tyndp_conventionals:
         logs("group_tyndp_conventionals_{planning_horizon}.log"),
     benchmark:
         benchmarks("performances/group_tyndp_conventionals_{planning_horizon}")
+    conda:
+        "../envs/environment.yaml"
     threads: 1
     resources:
         mem_mb=2000,
-    conda:
-        "../envs/environment.yaml"
+    params:
+        tyndp_conventional_carriers=config_provider(
+            "electricity", "tyndp_conventional_carriers"
+        ),
     script:
         scripts("sb/group_tyndp_conventionals.py")
 
@@ -680,8 +684,6 @@ rule group_tyndp_conventionals:
 if config["foresight"] != "perfect":
 
     rule plot_base_hydrogen_network:
-        params:
-            plotting=config_provider("plotting"),
         input:
             network=resources(
                 "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
@@ -691,25 +693,24 @@ if config["foresight"] != "perfect":
             map=resources(
                 "maps/base_h2_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}.pdf"
             ),
-        threads: 1
-        resources:
-            mem_mb=4000,
+        log:
+            RESULTS
+            + "logs/plot_base_hydrogen_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
         benchmark:
             benchmarks(
                 "performances/plot_base_hydrogen_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
             )
-        log:
-            RESULTS
-            + "logs/plot_base_hydrogen_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log",
         conda:
             "../envs/environment.yaml"
+        threads: 1
+        resources:
+            mem_mb=4000,
+        params:
+            plotting=config_provider("plotting"),
         script:
             scripts("sb/plot_base_hydrogen_network.py")
 
     rule plot_base_offshore_network:
-        params:
-            plotting=config_provider("plotting"),
-            expanded=False,
         input:
             network=resources(
                 "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
@@ -719,37 +720,40 @@ if config["foresight"] != "perfect":
             map=resources(
                 "maps/base_offshore_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.pdf"
             ),
-        threads: 1
-        resources:
-            mem_mb=4000,
+        log:
+            RESULTS
+            + "logs/plot_base_offshore_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
         benchmark:
             benchmarks(
                 "performances/plot_base_offshore_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
             )
-        log:
-            RESULTS
-            + "logs/plot_base_offshore_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
         conda:
             "../envs/environment.yaml"
+        threads: 1
+        resources:
+            mem_mb=4000,
+        params:
+            plotting=config_provider("plotting"),
+            expanded=False,
         script:
             scripts("sb/plot_offshore_network.py")
 
     use rule plot_base_offshore_network as plot_offshore_network with:
-        params:
-            expanded=True,
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
         output:
             map=RESULTS
             + "maps/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}-offshore_network_{carrier}.pdf",
+        log:
+            RESULTS
+            + "logs/plot_offshore_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
         benchmark:
             benchmarks(
                 "performances/plot_offshore_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}"
             )
-        log:
-            RESULTS
-            + "logs/plot_offshore_network_{clusters}_{opts}_{sector_opts}_{planning_horizons}_{carrier}.log",
+        params:
+            expanded=True,
 
 
 # Benchmarking
@@ -758,13 +762,6 @@ if config["foresight"] != "perfect":
 if config["benchmarking"]["enable"]:
 
     rule clean_tyndp_output_benchmark:
-        params:
-            benchmarking=config_provider("benchmarking"),
-            scenario=config_provider("tyndp_scenario"),
-            snapshots=config_provider("snapshots"),
-            drop_leap_day=config_provider("enable", "drop_leap_day"),
-            countries=config_provider("countries"),
-            offshore_hubs=config_provider("sector", "offshore_hubs_tyndp", "enable"),
         input:
             # TODO Generalize hardcoded climate year CY2009 for DE / GA
             tyndp_output_file=lambda w: getattr(
@@ -792,14 +789,17 @@ if config["benchmarking"]["enable"]:
         threads: 4
         resources:
             mem_mb=8000,
-        script:
-            scripts("sb/clean_tyndp_output_benchmark.py")
-
-    rule clean_tyndp_report_benchmark:
         params:
             benchmarking=config_provider("benchmarking"),
             scenario=config_provider("tyndp_scenario"),
             snapshots=config_provider("snapshots"),
+            drop_leap_day=config_provider("enable", "drop_leap_day"),
+            countries=config_provider("countries"),
+            offshore_hubs=config_provider("sector", "offshore_hubs_tyndp", "enable"),
+        script:
+            scripts("sb/clean_tyndp_output_benchmark.py")
+
+    rule clean_tyndp_report_benchmark:
         input:
             scenarios_figures=rules.retrieve_tyndp.output.benchmark,
             carrier_mapping="data/tyndp_technology_map.csv",
@@ -812,14 +812,14 @@ if config["benchmarking"]["enable"]:
         threads: 4
         resources:
             mem_mb=8000,
+        params:
+            benchmarking=config_provider("benchmarking"),
+            scenario=config_provider("tyndp_scenario"),
+            snapshots=config_provider("snapshots"),
         script:
             scripts("sb/clean_tyndp_report_benchmark.py")
 
     rule clean_tyndp_vp_data:
-        params:
-            scenario=config_provider("tyndp_scenario"),
-            snapshots=config_provider("snapshots"),
-            unit_conversion=config_provider("benchmarking", "unit_conversion"),
         input:
             elec_demand=rules.retrieve_tyndp_vp_data.output.elec_demand,
             elec_supplymix=rules.retrieve_tyndp_vp_data.output.elec_supply,
@@ -834,23 +834,14 @@ if config["benchmarking"]["enable"]:
         threads: 4
         resources:
             mem_mb=8000,
+        params:
+            scenario=config_provider("tyndp_scenario"),
+            snapshots=config_provider("snapshots"),
+            unit_conversion=config_provider("benchmarking", "unit_conversion"),
         script:
             scripts("sb/clean_tyndp_vp_data.py")
 
     rule build_statistics:
-        params:
-            benchmarking=config_provider("benchmarking"),
-            scenario=config_provider("tyndp_scenario"),
-            tyndp_renewable_carriers=config_provider(
-                "electricity", "tyndp_renewable_carriers"
-            ),
-            load_shedding=config_provider(
-                "solving", "options", "load_shedding", "carriers"
-            ),
-            low_voltage=config_provider("sector", "electricity_distribution_grid"),
-            group_tyndp_conventionals=config_provider(
-                "electricity", "group_tyndp_conventionals"
-            ),
         input:
             network=RESULTS
             + "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc",
@@ -869,14 +860,23 @@ if config["benchmarking"]["enable"]:
         threads: 1
         resources:
             mem_mb=8000,
+        params:
+            benchmarking=config_provider("benchmarking"),
+            scenario=config_provider("tyndp_scenario"),
+            tyndp_renewable_carriers=config_provider(
+                "electricity", "tyndp_renewable_carriers"
+            ),
+            load_shedding=config_provider(
+                "solving", "options", "load_shedding", "carriers"
+            ),
+            low_voltage=config_provider("sector", "electricity_distribution_grid"),
+            group_tyndp_conventionals=config_provider(
+                "electricity", "group_tyndp_conventionals"
+            ),
         script:
             scripts("sb/build_statistics.py")
 
     rule make_benchmark:
-        params:
-            benchmarking=config_provider("benchmarking"),
-            scenario=config_provider("tyndp_scenario"),
-            snapshots=config_provider("snapshots"),
         input:
             results=expand(
                 RESULTS
@@ -911,25 +911,23 @@ if config["benchmarking"]["enable"]:
             + "benchmarks/tyndp-2024/kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.csv",
             kpis_by_country=RESULTS
             + "benchmarks/tyndp-2024/kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.csv",
-        threads: 4
-        resources:
-            mem_mb=8000,
         log:
             logs("make_benchmark_s_{clusters}_{opts}_{sector_opts}_all_years.log"),
         benchmark:
             benchmarks(
                 "performances/make_benchmark_s_{clusters}_{opts}_{sector_opts}_all_years"
             )
-        script:
-            scripts("sb/make_benchmark.py")
-
-    rule plot_benchmark:
+        threads: 4
+        resources:
+            mem_mb=8000,
         params:
             benchmarking=config_provider("benchmarking"),
             scenario=config_provider("tyndp_scenario"),
             snapshots=config_provider("snapshots"),
-            tech_colors=config_provider("plotting", "tech_colors"),
-            bench_colors=config_provider("plotting", "benchmarking", "colors"),
+        script:
+            scripts("sb/make_benchmark.py")
+
+    rule plot_benchmark:
         input:
             results=expand(
                 RESULTS
@@ -969,15 +967,21 @@ if config["benchmarking"]["enable"]:
             + "benchmarks/tyndp-2024/kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_bus.pdf",
             kpis_by_country=RESULTS
             + "benchmarks/tyndp-2024/kpis_s_{clusters}_{opts}_{sector_opts}_all_years_by_country.pdf",
-        threads: 4
-        resources:
-            mem_mb=8000,
         log:
             logs("plot_benchmark_s_{clusters}_{opts}_{sector_opts}_all_years.log"),
         benchmark:
             benchmarks(
                 "performances/plot_benchmark_s_{clusters}_{opts}_{sector_opts}_all_years"
             )
+        threads: 4
+        resources:
+            mem_mb=8000,
+        params:
+            benchmarking=config_provider("benchmarking"),
+            scenario=config_provider("tyndp_scenario"),
+            snapshots=config_provider("snapshots"),
+            tech_colors=config_provider("plotting", "tech_colors"),
+            bench_colors=config_provider("plotting", "benchmarking", "colors"),
         script:
             scripts("sb/plot_benchmark.py")
 
@@ -1100,9 +1104,6 @@ rule build_tyndp_gas_demands:
 
 
 rule launch_explorer:
-    params:
-        port=find_free_port(start_port=8050, max_attempts=50),
-        launch_msg="Launching PyPSA-Explorer...",
     input:
         expand(
             RESULTS
@@ -1112,6 +1113,9 @@ rule launch_explorer:
         ),
     output:
         RESULTS + "logs/explorer_launched.log",
+    params:
+        port=find_free_port(start_port=8050, max_attempts=50),
+        launch_msg="Launching PyPSA-Explorer...",
     run:
         import platform
         import subprocess
@@ -1182,8 +1186,6 @@ if (PRESOLVED_NETWORKS_DATASET := dataset_version("open_tyndp_prelim"))[
 ] in ARCHIVE_SOURCES:
 
     use rule launch_explorer as launch_presolved_explorer with:
-        params:
-            launch_msg=f"Launching PyPSA-Explorer with presolved networks for release v{PRESOLVED_NETWORKS_DATASET['version']}...",
         input:
             expand(
                 f"{PRESOLVED_NETWORKS_DATASET['folder']}/base_s_all___{{planning_horizons}}.nc",
@@ -1191,3 +1193,5 @@ if (PRESOLVED_NETWORKS_DATASET := dataset_version("open_tyndp_prelim"))[
             ),
         output:
             "logs/presolved_explorer_launched.log",
+        params:
+            launch_msg=f"Launching PyPSA-Explorer with presolved networks for release v{PRESOLVED_NETWORKS_DATASET['version']}...",
diff --git a/rules/solve_electricity.smk b/rules/solve_electricity.smk
index 9e862edde8..9cfcba489b 100644
--- a/rules/solve_electricity.smk
+++ b/rules/solve_electricity.smk
@@ -5,19 +5,6 @@
 
 
 rule solve_network:
-    message:
-        "Solving electricity network optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
-        renewable_carriers=config_provider("electricity", "renewable_carriers"),
-        renewable_carriers_tyndp=config_provider(
-            "electricity", "tyndp_renewable_carriers"
-        ),
     input:
         network=resources("networks/base_s_{clusters}_elec_{opts}.nc"),
         offshore_zone_trajectories=branch(
@@ -43,21 +30,13 @@ rule solve_network:
             RESULTS
             + "benchmarks/performances/solve_network/base_s_{clusters}_elec_{opts}"
         )
+    shadow:
+        shadow_config
     threads: solver_threads
     resources:
         mem_mb=memory,
         runtime=config_provider("solving", "runtime", default="6h"),
-    shadow:
-        shadow_config
-    script:
-        scripts("solve_network.py")
-
-
-rule solve_operations_network:
-    message:
-        "Solving electricity network operations optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     params:
-        options=config_provider("solving", "options"),
         solving=config_provider("solving"),
         foresight=config_provider("foresight"),
         co2_sequestration_potential=config_provider(
@@ -65,6 +44,16 @@ rule solve_operations_network:
         ),
         custom_extra_functionality=input_custom_extra_functionality,
         renewable_carriers=config_provider("electricity", "renewable_carriers"),
+        renewable_carriers_tyndp=config_provider(
+            "electricity", "tyndp_renewable_carriers"
+        ),
+    message:
+        "Solving electricity network optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
+    script:
+        scripts("solve_network.py")
+
+
+rule solve_operations_network:
     input:
         network=RESULTS + "networks/base_s_{clusters}_elec_{opts}.nc",
     output:
@@ -81,11 +70,22 @@ rule solve_operations_network:
             RESULTS
             + "benchmarks/performances/solve_operations_network/base_s_{clusters}_elec_{opts}"
         )
+    shadow:
+        shadow_config
     threads: 4
     resources:
         mem_mb=memory,
         runtime=config_provider("solving", "runtime", default="6h"),
-    shadow:
-        shadow_config
+    params:
+        options=config_provider("solving", "options"),
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+        renewable_carriers=config_provider("electricity", "renewable_carriers"),
+    message:
+        "Solving electricity network operations optimization for {wildcards.clusters} clusters and {wildcards.opts} electric options"
     script:
         scripts("solve_operations_network.py")
diff --git a/rules/solve_myopic.smk b/rules/solve_myopic.smk
index d1abf5d2a3..33acc625cf 100644
--- a/rules/solve_myopic.smk
+++ b/rules/solve_myopic.smk
@@ -5,19 +5,6 @@
 
 
 rule add_existing_baseyear:
-    message:
-        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        baseyear=config_provider("scenario", "planning_horizons", 0),
-        sector=config_provider("sector"),
-        existing_capacities=config_provider("existing_capacities"),
-        carriers=config_provider("electricity", "renewable_carriers"),
-        costs=config_provider("costs"),
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
-        load_source=config_provider("load", "source"),
-        conventional=config_provider("conventional"),
-        conventional_carriers=config_provider("electricity", "conventional_carriers"),
     input:
         unpack(input_conventional),
         network=resources(
@@ -36,14 +23,6 @@ rule add_existing_baseyear:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
         ),
-    wildcard_constraints:
-        # TODO: The first planning_horizon needs to be aligned across scenarios
-        # snakemake does not support passing functions to wildcard_constraints
-        # reference: https://github.com/snakemake/snakemake/issues/2703
-        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
-    threads: 1
-    resources:
-        mem_mb=3000,
     log:
         logs(
             "add_existing_baseyear_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -52,6 +31,27 @@ rule add_existing_baseyear:
         benchmarks(
             "performances/add_existing_baseyear/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    wildcard_constraints:
+        # TODO: The first planning_horizon needs to be aligned across scenarios
+        # snakemake does not support passing functions to wildcard_constraints
+        # reference: https://github.com/snakemake/snakemake/issues/2703
+        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
+    threads: 1
+    resources:
+        mem_mb=3000,
+    params:
+        baseyear=config_provider("scenario", "planning_horizons", 0),
+        sector=config_provider("sector"),
+        existing_capacities=config_provider("existing_capacities"),
+        carriers=config_provider("electricity", "renewable_carriers"),
+        costs=config_provider("costs"),
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+        load_source=config_provider("load", "source"),
+        conventional=config_provider("conventional"),
+        conventional_carriers=config_provider("electricity", "conventional_carriers"),
+    message:
+        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("add_existing_baseyear.py")
 
@@ -72,8 +72,29 @@ def input_profile_tech_brownfield_pecd(w):
 
 
 rule add_brownfield:
-    message:
-        "Adding brownfield constraints for existing infrastructure for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
+    input:
+        unpack(input_profile_tech_brownfield),
+        unpack(input_profile_tech_brownfield_pecd),
+        network=resources(
+            "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
+        ),
+        network_p=solved_previous_horizon,  #solved network at previous time step
+        carrier_mapping="data/tyndp_technology_map.csv",
+    output:
+        resources(
+            "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
+        ),
+    log:
+        logs(
+            "add_brownfield_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
+        ),
+    benchmark:
+        benchmarks(
+            "performances/add_brownfield/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
+        )
+    threads: 4
+    resources:
+        mem_mb=10000,
     params:
         H2_retrofit=config_provider("sector", "H2_retrofit"),
         H2_retrofit_capacity_per_CH4=config_provider(
@@ -105,29 +126,8 @@ rule add_brownfield:
         uniform_renewable_profiles=config_provider(
             "existing_capacities", "uniform_renewable_profiles"
         ),
-    input:
-        unpack(input_profile_tech_brownfield),
-        unpack(input_profile_tech_brownfield_pecd),
-        network=resources(
-            "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
-        ),
-        network_p=solved_previous_horizon,  #solved network at previous time step
-        carrier_mapping="data/tyndp_technology_map.csv",
-    output:
-        resources(
-            "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
-        ),
-    threads: 4
-    resources:
-        mem_mb=10000,
-    log:
-        logs(
-            "add_brownfield_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
-        ),
-    benchmark:
-        benchmarks(
-            "performances/add_brownfield/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
-        )
+    message:
+        "Adding brownfield constraints for existing infrastructure for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("add_brownfield.py")
 
@@ -136,19 +136,6 @@ ruleorder: add_existing_baseyear > add_brownfield
 
 
 rule solve_sector_network_myopic:
-    message:
-        "Solving sector-coupled network with myopic foresight for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
-        renewable_carriers=config_provider("electricity", "renewable_carriers"),
-        renewable_carriers_tyndp=config_provider(
-            "electricity", "tyndp_renewable_carriers"
-        ),
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
@@ -168,8 +155,6 @@ rule solve_sector_network_myopic:
             if config["solving"]["options"]["store_model"]
             else []
         ),
-    shadow:
-        shadow_config
     log:
         solver=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_solver.log",
@@ -177,14 +162,29 @@ rule solve_sector_network_myopic:
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_memory.log",
         python=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_python.log",
-    threads: solver_threads
-    resources:
-        mem_mb=config_provider("solving", "mem_mb"),
-        runtime=config_provider("solving", "runtime", default="6h"),
     benchmark:
         (
             RESULTS
             + "benchmarks/performances/solve_sector_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=config_provider("solving", "mem_mb"),
+        runtime=config_provider("solving", "runtime", default="6h"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+        renewable_carriers=config_provider("electricity", "renewable_carriers"),
+        renewable_carriers_tyndp=config_provider(
+            "electricity", "tyndp_renewable_carriers"
+        ),
+    message:
+        "Solving sector-coupled network with myopic foresight for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("solve_network.py")
diff --git a/rules/solve_overnight.smk b/rules/solve_overnight.smk
index 48898b6efd..397e1bd07a 100644
--- a/rules/solve_overnight.smk
+++ b/rules/solve_overnight.smk
@@ -5,19 +5,6 @@
 
 
 rule solve_sector_network:
-    message:
-        "Solving sector-coupled network with overnight investment optimization for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
-        renewable_carriers=config_provider("electricity", "renewable_carriers"),
-        renewable_carriers_tyndp=config_provider(
-            "electricity", "tyndp_renewable_carriers"
-        ),
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.nc"
@@ -37,8 +24,6 @@ rule solve_sector_network:
             if config["solving"]["options"]["store_model"]
             else []
         ),
-    shadow:
-        shadow_config
     log:
         solver=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_solver.log",
@@ -46,14 +31,29 @@ rule solve_sector_network:
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_memory.log",
         python=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_python.log",
-    threads: solver_threads
-    resources:
-        mem_mb=config_provider("solving", "mem_mb"),
-        runtime=config_provider("solving", "runtime", default="6h"),
     benchmark:
         (
             RESULTS
             + "benchmarks/performances/solve_sector_network/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=config_provider("solving", "mem_mb"),
+        runtime=config_provider("solving", "runtime", default="6h"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+        renewable_carriers=config_provider("electricity", "renewable_carriers"),
+        renewable_carriers_tyndp=config_provider(
+            "electricity", "tyndp_renewable_carriers"
+        ),
+    message:
+        "Solving sector-coupled network with overnight investment optimization for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("solve_network.py")
diff --git a/rules/solve_perfect.smk b/rules/solve_perfect.smk
index e76ee2f1bc..7e44377827 100644
--- a/rules/solve_perfect.smk
+++ b/rules/solve_perfect.smk
@@ -3,19 +3,6 @@
 #
 # SPDX-License-Identifier: MIT
 rule add_existing_baseyear:
-    message:
-        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        baseyear=config_provider("scenario", "planning_horizons", 0),
-        sector=config_provider("sector"),
-        existing_capacities=config_provider("existing_capacities"),
-        carriers=config_provider("electricity", "renewable_carriers"),
-        costs=config_provider("costs"),
-        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
-        energy_totals_year=config_provider("energy", "energy_totals_year"),
-        load_source=config_provider("load", "source"),
-        conventional=config_provider("conventional"),
-        conventional_carriers=config_provider("electricity", "conventional_carriers"),
     input:
         unpack(input_conventional),
         network=resources(
@@ -38,12 +25,6 @@ rule add_existing_baseyear:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}_brownfield.nc"
         ),
-    wildcard_constraints:
-        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
-    threads: 1
-    resources:
-        mem_mb=config_provider("solving", "mem_mb"),
-        runtime=config_provider("solving", "runtime", default="24h"),
     log:
         logs(
             "add_existing_baseyear_base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}.log"
@@ -52,6 +33,25 @@ rule add_existing_baseyear:
         benchmarks(
             "performances/add_existing_baseyear/base_s_{clusters}_{opts}_{sector_opts}_{planning_horizons}"
         )
+    wildcard_constraints:
+        planning_horizons=config["scenario"]["planning_horizons"][0],  #only applies to baseyear
+    threads: 1
+    resources:
+        mem_mb=config_provider("solving", "mem_mb"),
+        runtime=config_provider("solving", "runtime", default="24h"),
+    params:
+        baseyear=config_provider("scenario", "planning_horizons", 0),
+        sector=config_provider("sector"),
+        existing_capacities=config_provider("existing_capacities"),
+        carriers=config_provider("electricity", "renewable_carriers"),
+        costs=config_provider("costs"),
+        heat_pump_sources=config_provider("sector", "heat_pump_sources"),
+        energy_totals_year=config_provider("energy", "energy_totals_year"),
+        load_source=config_provider("load", "source"),
+        conventional=config_provider("conventional"),
+        conventional_carriers=config_provider("electricity", "conventional_carriers"),
+    message:
+        "Adding existing infrastructure for base year for {wildcards.clusters} clusters, {wildcards.planning_horizons} planning horizons, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("add_existing_baseyear.py")
 
@@ -65,11 +65,6 @@ def input_network_year(w):
 
 
 rule prepare_perfect_foresight:
-    message:
-        "Preparing data for perfect foresight optimization for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        costs=config_provider("costs"),
-        time_resolution=config_provider("clustering", "temporal", "sector"),
     input:
         unpack(input_network_year),
         brownfield_network=lambda w: (
@@ -82,35 +77,25 @@ rule prepare_perfect_foresight:
         resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years.nc"
         ),
-    threads: 2
-    resources:
-        mem_mb=10000,
     log:
         logs("prepare_perfect_foresight_{clusters}_{opts}_{sector_opts}.log"),
     benchmark:
         benchmarks(
             "performances/prepare_perfect_foresight_{clusters}_{opts}_{sector_opts}"
         )
+    threads: 2
+    resources:
+        mem_mb=10000,
+    params:
+        costs=config_provider("costs"),
+        time_resolution=config_provider("clustering", "temporal", "sector"),
+    message:
+        "Preparing data for perfect foresight optimization for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("prepare_perfect_foresight.py")
 
 
 rule solve_sector_network_perfect:
-    message:
-        "Solving sector-coupled network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
-    params:
-        solving=config_provider("solving"),
-        foresight=config_provider("foresight"),
-        sector=config_provider("sector"),
-        planning_horizons=config_provider("scenario", "planning_horizons"),
-        co2_sequestration_potential=config_provider(
-            "sector", "co2_sequestration_potential", default=200
-        ),
-        custom_extra_functionality=input_custom_extra_functionality,
-        renewable_carriers=config_provider("electricity", "renewable_carriers"),
-        renewable_carriers_tyndp=config_provider(
-            "electricity", "tyndp_renewable_carriers"
-        ),
     input:
         network=resources(
             "networks/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years.nc"
@@ -131,11 +116,6 @@ rule solve_sector_network_perfect:
             if config["solving"]["options"]["store_model"]
             else []
         ),
-    threads: solver_threads
-    resources:
-        mem_mb=config_provider("solving", "mem"),
-    shadow:
-        shadow_config
     log:
         solver=RESULTS
         + "logs/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years_solver.log",
@@ -148,6 +128,26 @@ rule solve_sector_network_perfect:
             RESULTS
             + "benchmarks/performances/solve_sector_network/base_s_{clusters}_{opts}_{sector_opts}_brownfield_all_years}"
         )
+    shadow:
+        shadow_config
+    threads: solver_threads
+    resources:
+        mem_mb=config_provider("solving", "mem"),
+    params:
+        solving=config_provider("solving"),
+        foresight=config_provider("foresight"),
+        sector=config_provider("sector"),
+        planning_horizons=config_provider("scenario", "planning_horizons"),
+        co2_sequestration_potential=config_provider(
+            "sector", "co2_sequestration_potential", default=200
+        ),
+        custom_extra_functionality=input_custom_extra_functionality,
+        renewable_carriers=config_provider("electricity", "renewable_carriers"),
+        renewable_carriers_tyndp=config_provider(
+            "electricity", "tyndp_renewable_carriers"
+        ),
+    message:
+        "Solving sector-coupled network with perfect foresight for {wildcards.clusters} clusters, {wildcards.opts} electric options and {wildcards.sector_opts} sector options"
     script:
         scripts("solve_network.py")
 
@@ -163,8 +163,6 @@ def input_networks_make_summary_perfect(w):
 
 
 rule make_summary_perfect:
-    message:
-        "Creating summary for perfect foresight optimization results"
     input:
         unpack(input_networks_make_summary_perfect),
         costs=resources("costs_2020_processed.csv"),
@@ -182,12 +180,14 @@ rule make_summary_perfect:
         price_statistics=RESULTS + "csvs/price_statistics.csv",
         metrics=RESULTS + "csvs/metrics.csv",
         co2_emissions=RESULTS + "csvs/co2_emissions.csv",
-    threads: 2
-    resources:
-        mem_mb=10000,
     log:
         logs("make_summary_perfect.log"),
     benchmark:
         benchmarks("performances/make_summary_perfect")
+    threads: 2
+    resources:
+        mem_mb=10000,
+    message:
+        "Creating summary for perfect foresight optimization results"
     script:
         scripts("make_summary_perfect.py")
diff --git a/scripts/_helpers.py b/scripts/_helpers.py
index eab8169a0d..441a9a839d 100644
--- a/scripts/_helpers.py
+++ b/scripts/_helpers.py
@@ -3,6 +3,7 @@
 #
 # SPDX-License-Identifier: MIT
 
+import atexit
 import contextlib
 import copy
 import logging
@@ -15,6 +16,7 @@
 from functools import partial, wraps
 from pathlib import Path
 from tempfile import NamedTemporaryFile
+from typing import Literal
 
 import atlite
 import fiona
@@ -26,6 +28,7 @@
 import requests
 import xarray as xr
 import yaml
+from dask.distributed import Client, LocalCluster
 from snakemake.utils import update_config
 from tqdm import tqdm
 
@@ -1055,7 +1058,9 @@ def rename_techs(label: str) -> str:
 
 
 def load_cutout(
-    cutout_files: str | list[str], time: None | pd.DatetimeIndex = None
+    cutout_files: str | list[str],
+    time: None | pd.DatetimeIndex = None,
+    chunks: Literal["auto"] | dict | None = "auto",
 ) -> atlite.Cutout:
     """
     Load and optionally combine multiple cutout files.
@@ -1074,9 +1079,9 @@ def load_cutout(
         Merged cutout with optional time selection applied.
     """
     if isinstance(cutout_files, str):
-        cutout = atlite.Cutout(cutout_files)
+        cutout = atlite.Cutout(cutout_files, chunks=chunks)
     elif isinstance(cutout_files, list):
-        cutout_da = [atlite.Cutout(c).data for c in cutout_files]
+        cutout_da = [atlite.Cutout(c, chunks=chunks).data for c in cutout_files]
         combined_data = xr.concat(cutout_da, dim="time", data_vars="minimal")
         cutout = atlite.Cutout(NamedTemporaryFile().name, data=combined_data)
 
@@ -1086,6 +1091,17 @@ def load_cutout(
     return cutout
 
 
+def setup_dask(nprocesses: int) -> dict:
+    if nprocesses > 1:
+        cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
+        client = Client(cluster)
+        atexit.register(client.shutdown)
+    else:
+        client = None
+
+    return dict(scheduler=client)
+
+
 def load_costs(cost_file: str) -> pd.DataFrame:
     """
     Load prepared cost data from CSV.
diff --git a/scripts/add_brownfield.py b/scripts/add_brownfield.py
index bdcfa992d8..4c6468ec4c 100644
--- a/scripts/add_brownfield.py
+++ b/scripts/add_brownfield.py
@@ -67,9 +67,15 @@ def add_brownfield(
 
     # electric transmission grid set optimised capacities of previous as minimum
     n.lines.s_nom_min = n_p.lines.s_nom_opt
+    # Clamp s_nom_max to be at least s_nom_min to prevent solver infeasibility
+    # from floating-point differences between s_nom_opt and s_nom_max
+    n.lines.s_nom_max = n.lines.s_nom_max.clip(lower=n.lines.s_nom_min)
     dc_i = n.links[n.links.carrier == "DC"].index
     dc_i_p = dc_i.intersection(n_p.links.index)
     n.links.loc[dc_i_p, "p_nom_min"] = n_p.links.loc[dc_i_p, "p_nom_opt"]
+    n.links.loc[dc_i_p, "p_nom_max"] = n.links.loc[dc_i_p, "p_nom_max"].clip(
+        lower=n.links.loc[dc_i_p, "p_nom_min"]
+    )
 
     for c in n_p.components[["Link", "Generator", "Store"]]:
         if c.static.empty:
@@ -300,9 +306,10 @@ def add_brownfield(
             .groupby(level=0)
             .sum()
         )
-        remaining_capacity = pipe_capacity - already_retrofitted.reindex(
-            index=pipe_capacity.index
-        ).fillna(0)
+        remaining_capacity = (
+            pipe_capacity
+            - already_retrofitted.reindex(index=pipe_capacity.index).fillna(0)
+        ).clip(lower=0)
         n.links.loc[h2_retrofitted, "p_nom_max"] = remaining_capacity
 
         # reduce gas network capacity
@@ -318,7 +325,7 @@ def add_brownfield(
                 pipe_capacity
                 - CH4_per_H2
                 * already_retrofitted.reindex(index=pipe_capacity.index).fillna(0)
-            )
+            ).clip(lower=0)
             n.links.loc[gas_pipes_i, "p_nom"] = remaining_capacity
             n.links.loc[gas_pipes_i, "p_nom_max"] = remaining_capacity
 
diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py
index 63f586501e..3d324a6d76 100755
--- a/scripts/add_electricity.py
+++ b/scripts/add_electricity.py
@@ -11,40 +11,40 @@
 Description
 -----------
 
-The rule :mod:`add_electricity` ties all the different data inputs from the
+The rule [add_electricity][] ties all the different data inputs from the
 preceding rules together into a detailed PyPSA network that is stored in
-``networks/base_s_{clusters}_elec.nc``. It includes:
+`networks/base_s_{clusters}_elec.nc`. It includes:
 
 - today's transmission topology and transfer capacities (optionally including
   lines which are under construction according to the config settings ``lines:
-  under_construction`` and ``links: under_construction``),
+  under_construction` and `links: under_construction``),
 - today's thermal and hydro power generation capacities (for the technologies
-  listed in the config setting ``electricity: conventional_carriers``), and
+  listed in the config setting `electricity: conventional_carriers`), and
 - today's load time-series (upsampled in a top-down approach according to
   population and gross domestic product)
 
-It further adds extendable ``generators`` with **zero** capacity for
+It further adds extendable `generators` with **zero** capacity for
 
 - photovoltaic, onshore and AC- as well as DC-connected offshore wind
   installations with today's locational, hourly wind and solar capacity factors
   (but **no** current capacities),
-- additional open- and combined-cycle gas turbines (if ``OCGT`` and/or ``CCGT``
-  is listed in the config setting ``electricity: extendable_carriers``)
+- additional open- and combined-cycle gas turbines (if `OCGT` and/or `CCGT`
+  is listed in the config setting `electricity: extendable_carriers`)
 
 Furthermore, it attaches additional extendable components to the clustered
 network with **zero** initial capacity:
 
-- ``StorageUnits`` of carrier 'H2' and/or 'battery'. If this option is chosen,
-  every bus is given an extendable ``StorageUnit`` of the corresponding carrier.
+- `StorageUnits` of carrier 'H2' and/or 'battery'. If this option is chosen,
+  every bus is given an extendable `StorageUnit` of the corresponding carrier.
   The energy and power capacities are linked through a parameter that specifies
   the energy capacity as maximum hours at full dispatch power and is configured
-  in ``electricity: max_hours:``. This linkage leads to one investment variable
-  per storage unit. The default ``max_hours`` lead to long-term hydrogen and
+  in `electricity: max_hours:`. This linkage leads to one investment variable
+  per storage unit. The default `max_hours` lead to long-term hydrogen and
   short-term battery storage units.
 
-- ``Stores`` of carrier 'H2' and/or 'battery' in combination with ``Links``. If
+- `Stores` of carrier 'H2' and/or 'battery' in combination with `Links`. If
   this option is chosen, the script adds extra buses with corresponding carrier
-  where energy ``Stores`` are attached and which are connected to the
+  where energy `Stores` are attached and which are connected to the
   corresponding power buses via two links, one each for charging and
   discharging. This leads to three investment variables for the energy capacity,
   charging and discharging capacity of the storage unit.
@@ -269,7 +269,7 @@ def add_co2_emissions(n, costs, carriers):
 def load_and_aggregate_powerplants(
     ppl_fn: str,
     costs: pd.DataFrame,
-    consider_efficiency_classes: bool = False,
+    consider_efficiency_classes: bool | list[float] = False,
     aggregation_strategies: dict = None,
     exclude_carriers: list = None,
 ) -> pd.DataFrame:
@@ -333,15 +333,21 @@ def load_and_aggregate_powerplants(
     df = ppl[to_aggregate].copy()
 
     if consider_efficiency_classes:
+        quantiles = (
+            [0.1, 0.9]
+            if consider_efficiency_classes is True
+            else consider_efficiency_classes
+        )
         for c in df.carrier.unique():
             df_c = df.query("carrier == @c")
-            low = df_c.efficiency.quantile(0.10)
-            high = df_c.efficiency.quantile(0.90)
-            if low < high:
-                labels = ["low", "medium", "high"]
-                suffix = pd.cut(
-                    df_c.efficiency, bins=[0, low, high, 1], labels=labels
-                ).astype(str)
+            thresholds = df_c.efficiency.quantile(quantiles).tolist()
+            if thresholds[0] < thresholds[-1]:
+                unique_thresholds, indices = np.unique(thresholds, return_index=True)
+                labels = ["Q0"] + [
+                    f"Q{int(quantiles[i] * 100)}" for i in sorted(indices)
+                ]
+                bins = [0.0] + unique_thresholds.tolist() + [1.0]
+                suffix = pd.cut(df_c.efficiency, bins=bins, labels=labels).astype(str)
                 df.update({"carrier": df_c.carrier + " " + suffix + " efficiency"})
 
     grouper = ["bus", "carrier"]
@@ -355,15 +361,21 @@ def load_and_aggregate_powerplants(
     aggregated = df.groupby(grouper, as_index=False).agg(strategies)
     aggregated.index = aggregated.bus + " " + aggregated.carrier
     aggregated.build_year = aggregated.build_year.astype(int)
+    aggregated.carrier = aggregated.carrier.str.replace(
+        r" Q\d+ efficiency", "", regex=True
+    )
 
-    disaggregated = ppl[~to_aggregate][aggregated.columns].copy()
+    disaggregated = ppl[~to_aggregate].copy()
     disaggregated.index = (
         disaggregated.bus
         + " "
         + disaggregated.carrier
         + " "
         + disaggregated.index.astype(str)
+        + " "
+        + disaggregated.name
     )
+    disaggregated = disaggregated[aggregated.columns]
 
     return pd.concat([aggregated, disaggregated])
 
@@ -710,7 +722,7 @@ def attach_conventional_generators(
         | set(extendable_carriers["Generator"]) - set(renewable_carriers)
     )
 
-    ppl = ppl.query("carrier in @carriers")
+    ppl = ppl.query("carrier in @carriers").copy()
 
     # reduce carriers to those in power plant dataset
     carriers = list(set(carriers) & set(ppl.carrier.unique()))
@@ -724,6 +736,9 @@ def attach_conventional_generators(
             committable_attrs[attr] = ppl.carrier.map(unit_commitment.loc[attr]).fillna(
                 default
             )
+            # These values are given per MW, but PyPSA expects them in total.
+            if attr in {"start_up_cost", "shut_down_cost", "stand_by_cost"}:
+                committable_attrs[attr] *= ppl.p_nom
     else:
         committable_attrs = {}
 
@@ -769,9 +784,15 @@ def attach_conventional_generators(
             if f"conventional_{carrier}_{attr}" in conventional_inputs:
                 # Values affecting generators of technology k country-specific
                 # First map generator buses to countries; then map countries to p_max_pu
-                values = pd.read_csv(
+                df = pd.read_csv(
                     conventional_inputs[f"conventional_{carrier}_{attr}"], index_col=0
-                ).iloc[:, 0]
+                )
+                try:
+                    df.columns = df.columns.astype(int)
+                    year = n.snapshots[0].year
+                    values = df[year]
+                except (ValueError, TypeError):
+                    values = df.iloc[:, -1]  # take last column if year selection fails
                 bus_values = n.buses.country.map(values)
                 n.generators.update(
                     {attr: n.generators.loc[idx].bus.map(bus_values).dropna()}
@@ -781,6 +802,43 @@ def attach_conventional_generators(
                 n.generators.loc[idx, attr] = values
 
 
+def attach_existing_batteries(
+    n: pypsa.Network,
+    costs: pd.DataFrame,
+    ppl: pd.DataFrame,
+) -> None:
+    """Attach existing battery storage units from the power plant dataset."""
+    batt = ppl.query('carrier == "battery"')
+    if batt.empty:
+        return
+
+    add_missing_carriers(n, ["battery"])
+    efficiency = np.sqrt(costs.at["battery inverter", "efficiency"])
+    batt["max_hours"] = batt.max_hours.fillna(batt.max_hours.median())
+
+    n.add(
+        "StorageUnit",
+        batt.index,
+        carrier="battery",
+        bus=batt.bus,
+        p_nom=batt.p_nom,
+        capital_cost=batt.capital_cost,
+        max_hours=batt.max_hours,
+        efficiency_store=efficiency,
+        efficiency_dispatch=efficiency,
+        cyclic_state_of_charge=True,
+    )
+
+    stats = (
+        batt.groupby("country")
+        .p_nom.sum()
+        .div(1e3)
+        .round(3)
+        .sort_values(ascending=False)
+    )
+    logger.info(f"Added {len(batt)} existing battery storage units\n({stats} MW)")
+
+
 def attach_hydro(
     n: pypsa.Network,
     costs: pd.DataFrame,
@@ -1197,6 +1255,13 @@ def attach_stores(
             "Fuel Cell" if lookup_discharge == "fuel cell" else "discharger"
         )
 
+        discharge_capital_cost = (
+            0.0 if "bicharger" in lookup else costs.at[lookup_discharge, "capital_cost"]
+        )
+        if lookup_discharge == "fuel cell":
+            # NB: fuel cell investment cost is per MWel
+            discharge_capital_cost *= costs.at[lookup_discharge, "efficiency"]
+
         n.add(
             "Bus",
             bus_names,
@@ -1241,6 +1306,7 @@ def attach_stores(
             bus1=buses_i,
             carrier=f"{carrier} {discharge_name}",
             efficiency=costs.at[lookup_discharge, "efficiency"] ** roundtrip_correction,
+            capital_cost=discharge_capital_cost,
             p_nom_extendable=True,
             marginal_cost=costs.at[lookup_discharge, "marginal_cost"],
             lifetime=costs.at[lookup_discharge, "lifetime"],
@@ -1395,6 +1461,9 @@ def attach_stores(
     )
     attach_stores(n, costs, n.buses.index, extendable_carriers["Store"])
 
+    if params.electricity.get("estimate_battery_capacities", False):
+        attach_existing_batteries(n, costs, ppl)
+
     sanitize_carriers(n, snakemake.config)
     if "location" in n.buses:
         sanitize_locations(n)
diff --git a/scripts/add_existing_baseyear.py b/scripts/add_existing_baseyear.py
index f451365bc8..3fd00fc28c 100644
--- a/scripts/add_existing_baseyear.py
+++ b/scripts/add_existing_baseyear.py
@@ -172,6 +172,7 @@ def add_power_capacities_installed_before_baseyear(
     conventional_carriers: list[str],
     conventional_params: dict[str, dict[str, str]],
     conventional_inputs: dict[str, str],
+    solar_rooftop_ratio: float = 0.5,
 ) -> None:
     """
     Add power generation capacities installed before base year.
@@ -196,6 +197,8 @@ def add_power_capacities_installed_before_baseyear(
         Default values for missing data
     renewable_carriers: list
         List of renewable carriers in the network
+    solar_rooftop_ratio: float
+        Ratio of solar capacity to assign to rooftop vs utility-scale (between 0 and 1)
     conventional_carriers : list
         List of conventional carriers
     conventional_params : dict
@@ -294,6 +297,24 @@ def add_power_capacities_installed_before_baseyear(
         aggfunc="sum",
     )
 
+    if solar_rooftop_ratio != 0:
+        mask = df.index.get_level_values("Fueltype") == "solar"
+        solar = df.loc[mask] * (1 - solar_rooftop_ratio)
+        solar_rooftop = df.loc[mask] * solar_rooftop_ratio
+        rest = df.loc[~mask]
+
+        # Rename column of MultiIndex to add "solar rooftop" as Fueltype
+        pos = solar_rooftop.index.names.index("Fueltype")
+        arrays = [
+            solar_rooftop.index.get_level_values(n) for n in solar_rooftop.index.names
+        ]
+        arrays[pos] = ["solar rooftop"] * len(solar_rooftop)
+        solar_rooftop.index = pd.MultiIndex.from_arrays(
+            arrays, names=solar_rooftop.index.names
+        )
+
+        df = pd.concat([rest, solar, solar_rooftop]).sort_index()
+
     # filter to only include carriers that are actually chosen to be modelled in the configuration
     df = df.query("Fueltype in @conventional_carriers")
 
@@ -314,6 +335,13 @@ def add_power_capacities_installed_before_baseyear(
         "urban central solid biomass CHP": "biomass",
     }
 
+    cost_key_dict = {
+        "solar": "solar",
+        "solar rooftop": "solar-rooftop",
+        "onwind": "onwind",
+        "offwind-ac": "offwind",
+    }
+
     for grouping_year, generator, resource_class in df.index:
         # capacity is the capacity in MW at each node for this
         capacity = df.loc[grouping_year, generator, resource_class]
@@ -322,10 +350,10 @@ def add_power_capacities_installed_before_baseyear(
         suffix = "-ac" if generator == "offwind" else ""
         name_suffix = f" {generator}{suffix}-{grouping_year}"
         asset_i = capacity.index + name_suffix
-        if generator in ["solar", "onwind", "offwind-ac"]:
+        if generator in ["solar", "solar rooftop", "onwind", "offwind-ac"]:
             asset_i = capacity.index + " " + resource_class + name_suffix
             name_suffix = " " + resource_class + name_suffix
-            cost_key = generator.split("-")[0]
+            cost_key = cost_key_dict[generator]
             # to consider electricity grid connection costs or a split between
             # solar utility and rooftop as well, rather take cost assumptions
             # from existing network than from the cost database
@@ -354,13 +382,13 @@ def add_power_capacities_installed_before_baseyear(
                     "Generator",
                     new_capacity.index,
                     suffix=name_suffix,
-                    bus=new_capacity.index,
+                    bus=n.generators.bus[p_max_pu.columns].values,
                     carrier=generator,
                     p_nom=new_capacity,
                     marginal_cost=marginal_cost,
                     capital_cost=capital_cost,
                     efficiency=costs.at[cost_key, "efficiency"],
-                    p_max_pu=p_max_pu.rename(columns=n.generators.bus),
+                    p_max_pu=p_max_pu.values,
                     build_year=grouping_year,
                     lifetime=costs.at[cost_key, "lifetime"],
                 )
@@ -438,7 +466,8 @@ def add_power_capacities_installed_before_baseyear(
                         p_nom=new_capacity / costs.at[key, "efficiency"],
                         capital_cost=costs.at[key, "capital_cost"]
                         * costs.at[key, "efficiency"],
-                        marginal_cost=costs.at[key, "VOM"],
+                        marginal_cost=costs.at[key, "efficiency"]
+                        * costs.at[key, "VOM"],  # NB: VOM is per MWel
                         efficiency=costs.at[key, "efficiency"],
                         build_year=grouping_year,
                         efficiency2=costs.at[key, "efficiency-heat"],
@@ -564,8 +593,8 @@ def add_heating_capacities_installed_before_baseyear(
         Heat pump coefficients of performance
     use_time_dependent_cop : bool
         Use time-dependent COPs
-    heating_default_lifetime : int
-        Default lifetime for heating systems
+    default_lifetime : int
+        Default lifetime for heating systems.
     existing_capacities : pd.DataFrame
         Existing heating capacity distribution
     heat_pump_source_types : dict
@@ -860,6 +889,7 @@ def add_heating_capacities_installed_before_baseyear(
         capacity_threshold=snakemake.params.existing_capacities["threshold_capacity"],
         lifetime_values=snakemake.params.costs["fill_values"],
         renewable_carriers=renewable_carriers,
+        solar_rooftop_ratio=snakemake.params.existing_capacities["solar_rooftop_ratio"],
         conventional_carriers=snakemake.params.conventional_carriers,
         conventional_params=snakemake.params.conventional,
         conventional_inputs=conventional_inputs,
diff --git a/scripts/base_network.py b/scripts/base_network.py
index 3e428c1e1f..a24a9bdf88 100644
--- a/scripts/base_network.py
+++ b/scripts/base_network.py
@@ -5,9 +5,8 @@
 
 
 """
-Creates the network topology from a `ENTSO-E map extract.
-<https://github.com/PyPSA/GridKit/tree/master/entsoe>`_ (March 2022)
-or `OpenStreetMap data <https://www.openstreetmap.org/>`_ (Aug 2024)
+Creates the network topology from a [ENTSO-E map extract.](https://github.com/PyPSA/GridKit/tree/master/entsoe) (March 2022)
+or [OpenStreetMap data](https://www.openstreetmap.org/) (Aug 2024)
 as a PyPSA
 network.
 
@@ -924,20 +923,23 @@ def build_bus_shapes(
 
     Parameters
     ----------
-        n (pypsa.Network) : The network for which the bus shapes will be built.
-        admin_shapes (gpd.GeoDataFrame) : GeoDataFrame with administrative region shapes indexed by name.
-        offshore_shapes (str) : Path to the file containing offshore shapes.
-        countries (list[str]) : List of country codes to process.
+    n : pypsa.Network
+        The network for which the bus shapes will be built.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame with administrative region shapes indexed by name.
+    offshore_shapes : str
+        Path to the file containing offshore shapes.
+    countries : list[str]
+        List of country codes to process.
 
     Returns
     -------
-        tuple[list[gpd.GeoDataFrame], list[gpd.GeoDataFrame], gpd.GeoDataFrame, gpd.GeoDataFrame]
-
+    tuple[list[gpd.GeoDataFrame], list[gpd.GeoDataFrame], gpd.GeoDataFrame, gpd.GeoDataFrame]
         A tuple containing:
-            - List of GeoDataFrames for each onshore region
-            - List of GeoDataFrames for each offshore region
-            - Combined GeoDataFrame of all onshore shapes
-            - Combined GeoDataFrame of all offshore shapes
+        - List of GeoDataFrames for each onshore region
+        - List of GeoDataFrames for each offshore region
+        - Combined GeoDataFrame of all onshore shapes
+        - Combined GeoDataFrame of all offshore shapes
     """
     offshore_shapes = gpd.read_file(offshore_shapes)
     offshore_shapes = offshore_shapes.reindex(columns=REGION_COLS).set_index("name")[
@@ -1013,13 +1015,16 @@ def append_bus_shapes(n, shapes, type):
 
     Parameters
     ----------
-        n (pypsa.Network): The network to which the shapes will be appended.
-        shapes (geopandas.GeoDataFrame): The shapes to be appended.
-        **kwargs: Additional keyword arguments used in `n.add`.
+    n : pypsa.Network
+        The network to which the shapes will be appended.
+    shapes : geopandas.GeoDataFrame
+        The shapes to be appended.
+    type : str
+        The type of shapes to append.
 
     Returns
     -------
-        None
+    None
     """
     remove = n.shapes.query("component == 'Bus' and type == @type").index
     n.remove("Shape", remove)
@@ -1044,13 +1049,17 @@ def find_neighbours(
 
     Parameters
     ----------
-        polygon (shapely.geometry.Polygon): Polygon for which to find neighbours.
-        index (str): Index of the polygon.
-        gdf (gpd.GeoDataFrame): GeoDataFrame containing all polygons.
+    polygon : shapely.geometry.Polygon
+        Polygon for which to find neighbours.
+    index : str
+        Index of the polygon.
+    gdf : gpd.GeoDataFrame
+        GeoDataFrame containing all polygons.
 
     Returns
     -------
-        list: List of indices of neighbouring polygons.
+    list
+        List of indices of neighbouring polygons.
     """
     possible_neighbours = gdf.sindex.intersection(polygon.bounds)
 
@@ -1077,14 +1086,19 @@ def keep_good_neighbours(
 
     Parameters
     ----------
-        adm (str): Index of the administrative region.
-        neighbours (list): List of neighbours.
-        parent_dict (dict): Dictionary with parent of each administrative region.
-        country_dict (dict): Dictionary with country of each administrative region.
+    adm : str
+        Index of the administrative region.
+    neighbours : list
+        List of neighbours.
+    parent_dict : dict
+        Dictionary with parent of each administrative region.
+    country_dict : dict
+        Dictionary with country of each administrative region.
 
     Returns
     -------
-        list: List of filtered
+    list
+        List of filtered neighbours.
     """
     # Only keep neighbours that are located in the same country
 
@@ -1110,13 +1124,17 @@ def sort_values_by_dict(
 
     Parameters
     ----------
-        neighbours (list): List of keys to sort.
-        dicts (list): List of dictionaries containing values to sort by.
-        ascending (bool): Whether to sort in ascending order.
+    neighbours : list
+        List of keys to sort.
+    dicts : list
+        List of dictionaries containing values to sort by.
+    ascending : bool
+        Whether to sort in ascending order.
 
     Returns
     -------
-        list: Sorted list of keys.
+    list
+        Sorted list of keys.
     """
     return sorted(
         neighbours,
@@ -1137,13 +1155,17 @@ def create_merged_admin_region(
 
     Parameters
     ----------
-        row (pd.Series): Series containing information about the region to be merged.
-        first_neighbours_dict (dict): Dictionary containing first neighbours for each region.
-        admin_shapes (gpd.GeoDataFrame): GeoDataFrame containing all administrative regions.
+    row : pd.Series
+        Series containing information about the region to be merged.
+    first_neighbours_dict : dict
+        Dictionary containing first neighbours for each region.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame containing all administrative regions.
 
     Returns
     -------
-        pd.Series: Series containing information about the merged region.
+    pd.Series
+        Series containing information about the merged region.
     """
     first_neighbours = first_neighbours_dict[row.name]
     neighbours_contain = list(
@@ -1210,11 +1232,13 @@ def update_names(
 
     Parameters
     ----------
-        names (list): List of names to update.
+    names : list[str]
+        List of names to update.
 
     Returns
     -------
-        str: Updated name.
+    str
+        Updated name.
     """
     if len(names) == 1:
         return names[0]
@@ -1233,11 +1257,13 @@ def clean_dict(
 
     Parameters
     ----------
-        diction (dict): Dictionary to clean.
+    diction : dict
+        Dictionary to clean.
 
     Returns
     -------
-        dict: Cleaned dictionary.
+    dict
+        Cleaned dictionary.
     """
 
     if not diction:
@@ -1290,12 +1316,15 @@ def get_nearest_neighbour(
 
     Parameters
     ----------
-        row (pd.Series): Series containing information about the region.
-        admin_shapes (gpd.GeoDataFrame): GeoDataFrame containing all administrative regions.
+    row : pd.Series
+        Series containing information about the region.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame containing all administrative regions.
 
     Returns
     -------
-        str: Index of the nearest neighbour.
+    str
+        Index of the nearest neighbour.
     """
     country = row["country"]
     gdf = gpd.GeoDataFrame([row.loc[["country", "geometry"]]], crs=admin_shapes.crs)
@@ -1333,12 +1362,15 @@ def merge_regions_recursive(
 
     Parameters
     ----------
-        admin_shapes (gpd.GeoDataFrame): GeoDataFrame containing all administrative regions.
-        neighbours_missing (bool): Whether to find neighbours if they are missing.
+    admin_shapes : gpd.GeoDataFrame
+        GeoDataFrame containing all administrative regions.
+    neighbours_missing : bool
+        Whether to find neighbours if they are missing.
 
     Returns
     -------
-        gpd.GeoDataFrame: GeoDataFrame containing the merged administrative regions
+    gpd.GeoDataFrame
+        GeoDataFrame containing the merged administrative regions.
     """
     while True:
         # Calculate area
diff --git a/scripts/build_ammonia_production.py b/scripts/build_ammonia_production.py
index 056181b32b..def1a82102 100644
--- a/scripts/build_ammonia_production.py
+++ b/scripts/build_ammonia_production.py
@@ -7,7 +7,7 @@
 Description
 -------
 
-This functions takes data from the `Minerals Yearbook <https://www.usgs.gov/centers/national-minerals-information-center/nitrogen-statistics-and-information>`_
+This functions takes data from the [Minerals Yearbook](https://www.usgs.gov/centers/national-minerals-information-center/nitrogen-statistics-and-information)
  (July 2024) published by the US Geological Survey (USGS) and the National Minerals Information Center and extracts the annual ammonia production per country in ktonN/a. The data is converted to ktonNH3/a.
 """
 
@@ -44,7 +44,7 @@
 
     ammonia.index = cc.convert(ammonia.index, to="iso2")
 
-    years = [str(i) for i in range(2018, 2023)]
+    years = [str(i) for i in range(2019, 2024)]
 
     ammonia = ammonia.rename(columns=lambda x: str(x))[years]
 
diff --git a/scripts/build_ates_potentials.py b/scripts/build_ates_potentials.py
index ee6584151a..d42457d7f0 100644
--- a/scripts/build_ates_potentials.py
+++ b/scripts/build_ates_potentials.py
@@ -13,14 +13,15 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-    sector:
-        aquifer_thermal_energy_storage:
-            aquifer_volumetric_heat_capacity:
-            fraction_of_aquifer_area_available:
-            effective_screen_length:
-            suitable_aquifer_types:
-            dh_area_buffer:
+```yaml
+sector:
+    aquifer_thermal_energy_storage:
+        aquifer_volumetric_heat_capacity:
+        fraction_of_aquifer_area_available:
+        effective_screen_length:
+        suitable_aquifer_types:
+        dh_area_buffer:
+```
 
 Inputs
 ------
diff --git a/scripts/build_bidding_zones.py b/scripts/build_bidding_zones.py
index 30436a2942..353a0c0961 100644
--- a/scripts/build_bidding_zones.py
+++ b/scripts/build_bidding_zones.py
@@ -7,7 +7,7 @@
 Outputs
 -------
 
-- ``resources/bidding_zones.geojson``:
+- `resources/bidding_zones.geojson`:
 """
 
 import geopandas as gpd
@@ -137,15 +137,25 @@ def extract_shape_by_bbox(
 
     Parameters
     ----------
-        - gdf (GeoDataFrame): GeoDataFrame containing country geometries.
-        - country (str): The country code or name to filter.
-        - min_lon, max_lon (float): Longitude bounds for extraction.
-        - min_lat, max_lat (float): Latitude bounds for extraction.
-        - region_id (str): String to assign an ID to the extracted region.
+    gdf : GeoDataFrame
+        GeoDataFrame containing country geometries.
+    country : str
+        The country code or name to filter.
+    min_lon : float
+        Minimum longitude bound for extraction.
+    max_lon : float
+        Maximum longitude bound for extraction.
+    min_lat : float
+        Minimum latitude bound for extraction.
+    max_lat : float
+        Maximum latitude bound for extraction.
+    region_id : str
+        String to assign an ID to the extracted region.
 
     Returns
     -------
-        - gdf_new: Updated GeoDataFrame with the extracted shape separated.
+    GeoDataFrame
+        Updated GeoDataFrame with the extracted shape separated.
     """
     country_gdf = gdf.explode().query("country == @country").reset_index(drop=True)
 
diff --git a/scripts/build_biomass_potentials.py b/scripts/build_biomass_potentials.py
index 796bd9e554..be0d9bf3ff 100755
--- a/scripts/build_biomass_potentials.py
+++ b/scripts/build_biomass_potentials.py
@@ -47,9 +47,11 @@ def _calc_unsustainable_potential(df, df_unsustainable, share_unsus, resource_ty
 
     return (
         df.apply(
-            lambda c: c.sum()
-            / df.loc[df.index.str[:2] == c.name[:2]].sum().sum()
-            * resource_potential.loc[c.name[:2]],
+            lambda c: (
+                c.sum()
+                / df.loc[df.index.str[:2] == c.name[:2]].sum().sum()
+                * resource_potential.loc[c.name[:2]]
+            ),
             axis=1,
         )
         .mul(share_unsus)
@@ -255,8 +257,8 @@ def add_unsustainable_potentials(df, input_eurostat):
     ----------
     df : pd.DataFrame
         The dataframe with sustainable biomass potentials.
-    unsustainable_biomass : str
-        Path to the file with unsustainable biomass potentials.
+    input_eurostat : str
+        Path to the file with Eurostat biomass data.
 
     Returns
     -------
diff --git a/scripts/build_central_heating_temperature_profiles/run.py b/scripts/build_central_heating_temperature_profiles/run.py
index c58d0fb063..2d4d05738d 100644
--- a/scripts/build_central_heating_temperature_profiles/run.py
+++ b/scripts/build_central_heating_temperature_profiles/run.py
@@ -14,12 +14,13 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-    sector:
-        district_heating:
-            max_forward_temperature:
-            min_forward_temperature:
-            return_temperature:
+```yaml
+sector:
+    district_heating:
+        max_forward_temperature:
+        min_forward_temperature:
+        return_temperature:
+```
 Inputs
 ------
 - `resources/<run_name>/temp_air_total`: Air temperature
diff --git a/scripts/build_clustered_co2_sequestration_potentials.py b/scripts/build_clustered_co2_sequestration_potentials.py
index 1b6ee90911..c51ea39299 100644
--- a/scripts/build_clustered_co2_sequestration_potentials.py
+++ b/scripts/build_clustered_co2_sequestration_potentials.py
@@ -3,8 +3,8 @@
 # SPDX-License-Identifier: MIT
 """
 Build regionalised geological sequestration potential for carbon dioxide using
-data from `CO2Stop <https://setis.ec.europa.eu/european-co2-storage-
-database_en>`_.
+data from [CO2Stop](https://setis.ec.europa.eu/european-co2-storage-
+database_en).
 """
 
 import logging
diff --git a/scripts/build_co2_sequestration_potentials.py b/scripts/build_co2_sequestration_potentials.py
index 238839b3e8..0f7146a71a 100644
--- a/scripts/build_co2_sequestration_potentials.py
+++ b/scripts/build_co2_sequestration_potentials.py
@@ -3,8 +3,8 @@
 # SPDX-License-Identifier: MIT
 """
 Build regionalised geological sequestration potential for carbon dioxide using
-data from `CO2Stop <https://setis.ec.europa.eu/european-co2-storage-
-database_en>`_.
+data from [CO2Stop](https://setis.ec.europa.eu/european-co2-storage-
+database_en).
 """
 
 from typing import Any
@@ -82,7 +82,10 @@ def create_capacity_map_storage(table_fn: str, map_fn: str) -> gpd.GeoDataFrame:
     df = pd.read_csv(table_fn)
 
     sel = ["COUNTRYCOD", "ID", "geometry"]
-    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})[sel]
+    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})
+    if gdf.ID.isna().all() and "ID2" in gdf.columns:
+        gdf["ID"] = gdf["ID2"]
+    gdf = gdf[sel]
     gdf.geometry = gdf.geometry.buffer(0)
 
     # Combine shapes with the same id into one multi-polygon
@@ -155,7 +158,10 @@ def create_capacity_map_traps(table_fn: list[str], map_fn: str) -> gpd.GeoDataFr
     df = pd.concat([pd.read_csv(path) for path in table_fn], ignore_index=True)
 
     sel = ["COUNTRYCOD", "ID", "geometry"]
-    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})[sel]
+    gdf = gpd.read_file(map_fn).rename(columns={"id": "ID"})
+    if gdf.ID.isna().all() and "ID2" in gdf.columns:
+        gdf["ID"] = gdf["ID2"]
+    gdf = gdf[sel]
 
     # Combine shapes with the same id into one multi-polygon
     gdf = gdf.groupby(["COUNTRYCOD", "ID"]).agg(unary_union).reset_index()
@@ -298,7 +304,7 @@ def merge_maps(
     if "snakemake" not in globals():
         from scripts._helpers import mock_snakemake
 
-        snakemake = mock_snakemake("build_co2_storage")
+        snakemake = mock_snakemake("build_co2_sequestration_potentials")
 
     table_fn = snakemake.input.storage_table
     map_fn = snakemake.input.storage_map
diff --git a/scripts/build_cop_profiles/run.py b/scripts/build_cop_profiles/run.py
index b2e49395fe..90c64c6c15 100644
--- a/scripts/build_cop_profiles/run.py
+++ b/scripts/build_cop_profiles/run.py
@@ -10,23 +10,24 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-    sector:
-        heat_pump_sink_T_decentral_heating:
-        district_heating:
-            forward_temperature:
-            return_temperature:
-            heat_source_cooling:
-            heat_pump_cop_approximation:
-                refrigerant:
-                heat_exchanger_pinch_point_temperature_difference
-                isentropic_compressor_efficiency:
-                heat_loss:
-                min_delta_t_lift:
-            heat_pump_sources:
-                urban central:
-                urban decentral:
-                rural:
+```yaml
+sector:
+    heat_pump_sink_T_decentral_heating:
+    district_heating:
+        forward_temperature:
+        return_temperature:
+        heat_source_cooling:
+        heat_pump_cop_approximation:
+            refrigerant:
+            heat_exchanger_pinch_point_temperature_difference
+            isentropic_compressor_efficiency:
+            heat_loss:
+            min_delta_t_lift:
+        heat_pump_sources:
+            urban central:
+            urban decentral:
+            rural:
+```
 Inputs
 ------
 - `resources/<run_name>/temp_soil_total`: Ground temperature
diff --git a/scripts/build_country_hdd.py b/scripts/build_country_hdd.py
index 5db7c0baeb..bf9717c012 100644
--- a/scripts/build_country_hdd.py
+++ b/scripts/build_country_hdd.py
@@ -7,15 +7,12 @@
 Outputs
 -------
 
-- ``data/country_runoff/build/unknown/era5-hdd-per-country.csv``:
-
-    ===================  ==========  ===========  =========================================================
-    Field                Dimensions  Unit         Description
-    ===================  ==========  ===========  =========================================================
-    index/time           time        day          Datestamp, YYYY-MM-DD
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    <columns>            country     ISO-3166 A2  Aggregated HDDs per country
-    ===================  ==========  ===========  =========================================================
+- `data/country_runoff/build/unknown/era5-hdd-per-country.csv`:
+
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| index/time | time | day | Datestamp, YYYY-MM-DD |
+| &lt;columns&gt; | country | ISO-3166 A2 | Aggregated HDDs per country |
 
 """
 
diff --git a/scripts/build_country_runoff.py b/scripts/build_country_runoff.py
index 32e07e19be..f6792e4227 100644
--- a/scripts/build_country_runoff.py
+++ b/scripts/build_country_runoff.py
@@ -7,15 +7,12 @@
 Outputs
 -------
 
-- ``data/country_runoff/build/unknown/era5-runoff-per-country.csv``:
-
-    ===================  ==========  ===========  =========================================================
-    Field                Dimensions  Unit         Description
-    ===================  ==========  ===========  =========================================================
-    index/time           time        day          Datestamp, YYYY-MM-DD
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    <columns>            country     ISO-3166 A2  Daily total runoff (volume per area) per country
-    ===================  ==========  ===========  =========================================================
+- `data/country_runoff/build/unknown/era5-runoff-per-country.csv`:
+
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| index/time | time | day | Datestamp, YYYY-MM-DD |
+| &lt;columns&gt; | country | ISO-3166 A2 | Daily total runoff (volume per area) per country |
 
 
 """
diff --git a/scripts/build_cutout.py b/scripts/build_cutout.py
index eea963de1a..a02463c959 100644
--- a/scripts/build_cutout.py
+++ b/scripts/build_cutout.py
@@ -2,69 +2,45 @@
 #
 # SPDX-License-Identifier: MIT
 """
-Create cutouts with `atlite <https://atlite.readthedocs.io/en/latest/>`_.
+Create cutouts with [atlite](https://atlite.readthedocs.io/en/latest/).
 
 For this rule to work you must have
 
-- installed the `Copernicus Climate Data Store <https://cds.climate.copernicus.eu>`_ ``cdsapi`` package  (`install with `pip``) and
-- registered and setup your CDS API key as described `on their website <https://cds.climate.copernicus.eu/api-how-to>`_.
+- installed the [Copernicus Climate Data Store](https://cds.climate.copernicus.eu) `cdsapi` package  (`install with `pip``) and
+- registered and setup your CDS API key as described [on their website](https://cds.climate.copernicus.eu/api-how-to).
 
-.. seealso::
-    For details on the weather data read the `atlite documentation <https://atlite.readthedocs.io/en/latest/>`_.
-    If you need help specifically for creating cutouts `the corresponding section in the atlite documentation <https://atlite.readthedocs.io/en/latest/examples/create_cutout.html>`_ should be helpful.
+!!! info "See also"
+    For details on the weather data read the [atlite documentation](https://atlite.readthedocs.io/en/latest/). If you need help specifically for creating cutouts [the corresponding section in the atlite documentation](https://atlite.readthedocs.io/en/latest/examples/create_cutout.html) should be helpful.
 
 Outputs
 -------
 
-- ``cutouts/{cutout}``: weather data from either the `ERA5 <https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>`_
-  reanalysis weather dataset or `SARAH-3 <https://wui.cmsaf.eu/safira/action/viewProduktSearch>`_
+- `cutouts/{cutout}`: weather data from either the [ERA5](https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5)
+  reanalysis weather dataset or [SARAH-3](https://wui.cmsaf.eu/safira/action/viewProduktSearch)
   satellite-based historic weather data with the following structure:
 
 **ERA5 cutout:**
 
-    ===================  ==========  ==========  =========================================================
-    Field                Dimensions  Unit        Description
-    ===================  ==========  ==========  =========================================================
-    pressure             time, y, x  Pa          Surface pressure
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    temperature          time, y, x  K           Air temperature 2 meters above the surface.
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    soil temperature     time, y, x  K           Soil temperature between 1 meters and 3 meters
-                                                 depth (layer 4).
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    influx_toa           time, y, x  Wm**-2      Top of Earth's atmosphere TOA incident solar radiation
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    influx_direct        time, y, x  Wm**-2      Total sky direct solar radiation at surface
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    runoff               time, y, x  m           `Runoff <https://en.wikipedia.org/wiki/Surface_runoff>`_
-                                                 (volume per area)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    roughness            y, x        m           Forecast surface roughness
-                                                 (`roughness length <https://en.wikipedia.org/wiki/Roughness_length>`_)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    height               y, x        m           Surface elevation above sea level
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    albedo               time, y, x  --          `Albedo <https://en.wikipedia.org/wiki/Albedo>`_
-                                                 measure of diffuse reflection of solar radiation.
-                                                 Calculated from relation between surface solar radiation
-                                                 downwards (Jm**-2) and surface net solar radiation
-                                                 (Jm**-2). Takes values between 0 and 1.
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    influx_diffuse       time, y, x  Wm**-2      Diffuse solar radiation at surface.
-                                                 Surface solar radiation downwards minus
-                                                 direct solar radiation.
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    wnd100m              time, y, x  ms**-1      Wind speeds at 100 meters (regardless of direction)
-    ===================  ==========  ==========  =========================================================
-
-    .. image:: img/era5.png
-        :scale: 40 %
-
-A **SARAH-3 cutout** can be used to amend the fields ``temperature``, ``influx_toa``, ``influx_direct``, ``albedo``,
-``influx_diffuse`` of ERA5 using satellite-based radiation observations.
-
-    .. image:: img/sarah.png
-        :scale: 40 %
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| pressure | time, y, x | Pa | Surface pressure |
+| temperature | time, y, x | K | Air temperature 2 meters above the surface. |
+| soil temperature | time, y, x | K | Soil temperature between 1 meters and 3 meters depth (layer 4). |
+| influx_toa | time, y, x | Wm**-2 | Top of Earth's atmosphere TOA incident solar radiation |
+| influx_direct | time, y, x | Wm**-2 | Total sky direct solar radiation at surface |
+| runoff | time, y, x | m | [Runoff](https://en.wikipedia.org/wiki/Surface_runoff) (volume per area) |
+| roughness | y, x | m | Forecast surface roughness ([roughness length](https://en.wikipedia.org/wiki/Roughness_length)) |
+| height | y, x | m | Surface elevation above sea level |
+| albedo | time, y, x | -- | [Albedo](https://en.wikipedia.org/wiki/Albedo) measure of diffuse reflection of solar radiation. Calculated from relation between surface solar radiation downwards (Jm**-2) and surface net solar radiation (Jm**-2). Takes values between 0 and 1. |
+| influx_diffuse | time, y, x | Wm**-2 | Diffuse solar radiation at surface. Surface solar radiation downwards minus direct solar radiation. |
+| wnd100m | time, y, x | ms**-1 | Wind speeds at 100 meters (regardless of direction) |
+
+![](img/era5.png)
+
+A **SARAH-3 cutout** can be used to amend the fields `temperature`, `influx_toa`, `influx_direct`, `albedo`,
+`influx_diffuse` of ERA5 using satellite-based radiation observations.
+
+![](img/sarah.png)
 
 """
 
diff --git a/scripts/build_daily_heat_demand.py b/scripts/build_daily_heat_demand.py
index 2ff6f73d4c..05612c9f50 100644
--- a/scripts/build_daily_heat_demand.py
+++ b/scripts/build_daily_heat_demand.py
@@ -5,13 +5,12 @@
 This rule builds heat demand time series using heating degree day (HDD)
 approximation.
 
-Snapshots are resampled to daily time resolution and ``Atlite.convert.heat_demand`` is used to convert ambient temperature from the default weather cutout to heat demand time series for the respective cutout.
+Snapshots are resampled to daily time resolution and `Atlite.convert.heat_demand` is used to convert ambient temperature from the default weather cutout to heat demand time series for the respective cutout.
 
 Heat demand is distributed by population to clustered onshore regions.
 
-.. seealso::
-    `Atlite.Cutout.heat_demand <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
-
+!!! info "See also"
+    [Atlite.Cutout.heat_demand](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert)
 """
 
 import logging
@@ -19,13 +18,13 @@
 import geopandas as gpd
 import numpy as np
 import xarray as xr
-from dask.distributed import Client, LocalCluster
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -43,8 +42,7 @@
     set_scenario_config(snakemake)
 
     nprocesses = int(snakemake.threads)
-    cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
-    client = Client(cluster, asynchronous=True)
+    dask_kwargs = setup_dask(nprocesses)
 
     cutout_name = snakemake.input.cutout
 
@@ -71,7 +69,7 @@
     heat_demand = cutout.heat_demand(
         matrix=M.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     ).sel(time=daily)
 
diff --git a/scripts/build_dh_areas.py b/scripts/build_dh_areas.py
index ae5d92c755..415ec4484d 100644
--- a/scripts/build_dh_areas.py
+++ b/scripts/build_dh_areas.py
@@ -18,13 +18,13 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    countries: ['DE', 'FR', 'ES', ...]  # List of modeled countries
-    sector:
-        district_heating:
-            dh_areas:
-                handle_missing_countries: 'ignore'  # or 'fill' or 'raise'
+```yaml
+countries: ['DE', 'FR', 'ES', ...]  # List of modeled countries
+sector:
+    district_heating:
+        dh_areas:
+            handle_missing_countries: 'ignore'  # or 'fill' or 'raise'
+```
 
 Inputs
 ------
diff --git a/scripts/build_electricity_demand.py b/scripts/build_electricity_demand.py
index 498765db53..200780e77a 100755
--- a/scripts/build_electricity_demand.py
+++ b/scripts/build_electricity_demand.py
@@ -3,11 +3,10 @@
 #
 # SPDX-License-Identifier: MIT
 """
-This rule downloads the load data from `Open Power System Data Time series
-<https://data.open-power-system-data.org/time_series/>`_. For all countries in
+This rule downloads the load data from [Open Power System Data Time series](https://data.open-power-system-data.org/time_series/). For all countries in
 the network, the per country load timeseries are extracted from the dataset.
 After filling small gaps linearly and large gaps by copying time-slice of a
-given period, the load data is exported to a ``.csv`` file.
+given period, the load data is exported to a `.csv` file.
 """
 
 import logging
@@ -129,16 +128,18 @@ def manual_adjustment(load, fn_load, countries):
 
     Parameters
     ----------
-     load : pd.DataFrame
-         Load time-series with UTC timestamps x ISO-2 countries
-    load_fn: str
-         File name or url location (file format .csv)
+    load : pd.DataFrame
+        Load time-series with UTC timestamps x ISO-2 countries.
+    fn_load : str
+        File name or url location (file format .csv).
+    countries : list
+        List of country codes.
 
     Returns
     -------
-     load : pd.DataFrame
-         Manual adjusted and interpolated load time-series with UTC
-         timestamps x ISO-2 countries
+    load : pd.DataFrame
+        Manual adjusted and interpolated load time-series with UTC
+        timestamps x ISO-2 countries.
     """
 
     copy_timeslice(load, "UA", "2010-01-01 00:00", "2010-01-01 01:00", Delta(days=-1))
diff --git a/scripts/build_electricity_demand_base.py b/scripts/build_electricity_demand_base.py
index ff855a7960..8b8c8ef8b2 100644
--- a/scripts/build_electricity_demand_base.py
+++ b/scripts/build_electricity_demand_base.py
@@ -7,56 +7,191 @@
 """
 
 import logging
-from itertools import product
 
+import country_converter as coco
 import geopandas as gpd
 import numpy as np
 import pandas as pd
 import pypsa
-import scipy.sparse as sparse
+import rasterio as rio
 import xarray as xr
-from shapely.prepared import prep
+from rasterstats import zonal_stats
 
 from scripts._helpers import configure_logging, set_scenario_config
 
 logger = logging.getLogger(__name__)
 
+cc = coco.CountryConverter()
+
 
 def normed(s: pd.Series) -> pd.Series:
     return s / s.sum()
 
 
-def shapes_to_shapes(orig: gpd.GeoSeries, dest: gpd.GeoSeries) -> sparse.lil_matrix:
+def redistribute_attribute(
+    orig: gpd.GeoDataFrame, dest: gpd.GeoDataFrame, attr: str
+) -> pd.Series:
+    """
+    Redistributes an attribute from origin GeoDataFrame to destination GeoDataFrame based on overlapping areas.
+
+    Computes the intersection between geometries and proportionally assigns the attribute values
+    according to the share of overlapping area.
+
+    Parameters
+    ----------
+    orig : gpd.GeoDataFrame
+        Source GeoDataFrame containing the attribute to redistribute
+    dest : gpd.GeoDataFrame
+        Target GeoDataFrame to receive redistributed values
+    attr : str
+        Name of the attribute column to redistribute
+
+    Returns
+    -------
+    pd.Series
+        Redistributed attribute values indexed by destination's 'name' column
+    """
+    if orig.crs != 3035:
+        orig = orig.to_crs(epsg=3035)
+    if dest.crs != 3035:
+        dest = dest.to_crs(epsg=3035)
+    orig["area_orig"] = orig.area
+    overlay = gpd.overlay(dest, orig, keep_geom_type=False)
+    overlay["share"] = overlay.area / overlay.area_orig
+    overlay["attr"] = overlay[attr].mul(overlay.share)
+    return overlay.dissolve("name", aggfunc="sum")["attr"]
+
+
+def energy_atlas_distribution_keys(
+    raster_fn: str, regions: gpd.GeoDataFrame
+) -> pd.Series:
+    """
+    Calculate distribution keys for regions based on energy atlas raster data.
+
+    Parameters
+    ----------
+    raster_fn : str
+        File path to the raster data (GeoTIFF format).
+    regions : gpd.GeoDataFrame
+        GeoDataFrame containing the regions with a 'country' column.
+
+    Returns
+    -------
+    pd.Series
+        Series of distribution keys indexed by region names.
+        Sum of keys per country equals 1 (unless omitted islands in regions).
+    """
+
+    raster = rio.open(raster_fn)
+    band = raster.read(1)
+
+    distribution_keys = []
+    for country, group in regions.groupby("country"):
+        if country not in cc.EU27as("ISO2").ISO2.to_list():
+            continue
+        weights = zonal_stats(
+            group, band, affine=raster.transform, nodata=-1, stats="sum"
+        )
+        group["weights"] = [w["sum"] for w in weights]
+        distribution_keys.append(group["weights"] / group["weights"].sum())
+    distribution_keys = pd.concat(distribution_keys).reindex(regions.index)
+    return distribution_keys
+
+
+def gb_distribution_keys(
+    excel_fn: str, geojson_fn: str, regions: gpd.GeoDataFrame
+) -> pd.Series:
     """
-    Adopted from vresutils.transfer.Shapes2Shapes()
+    Calculate distribution keys for Great Britain regions based on electricity consumption statistics.
+
+    Parameters
+    ----------
+    excel_fn : str
+        File path to the Excel file containing electricity consumption by local authority districts.
+    geojson_fn : str
+        File path to the GeoJSON file containing geometries of local authority districts.
+    regions : gpd.GeoDataFrame
+        GeoDataFrame containing the network regions.
+
+    Returns
+    -------
+    pd.Series
+        Series of distribution keys indexed by region names.
     """
-    orig_prepped = list(map(prep, orig))
-    transfer = sparse.lil_matrix((len(dest), len(orig)), dtype=float)
 
-    for i, j in product(range(len(dest)), range(len(orig))):
-        if orig_prepped[j].intersects(dest.iloc[i]):
-            area = orig.iloc[j].intersection(dest.iloc[i]).area
-            transfer[i, j] = area / dest.iloc[i].area
+    df = pd.read_excel(excel_fn, skiprows=4, sheet_name="2019")
+    df = df.loc[~df["Local authority"].isin(["All local authorities", "Unallocated"])]
+    gdf = gpd.read_file(geojson_fn).to_crs(epsg=3035)
+    gdf = gdf.rename(columns={"LAD24CD": "Code"}).merge(df, on="Code")
+
+    attr = "Total consumption\n(GWh):\nAll meters"
+    redistributed = redistribute_attribute(gdf, regions.reset_index(drop=True), attr)
+    distribution_keys = normed(redistributed)
+    return distribution_keys
+
 
-    return transfer
+def nuts3_distribution_keys(
+    nuts3_fn: str, distribution_key: dict[str, float], regions: gpd.GeoDataFrame
+) -> pd.Series:
+    """
+    Calculate distribution keys for regions based on NUTS3 data (GDP and population).
+
+    Parameters
+    ----------
+    nuts3_fn : str
+        File path to the NUTS3 GeoJSON file containing geometries and attributes.
+    distribution_key : dict[str, float]
+        Weights for GDP and population in the distribution key calculation.
+        Example: {"gdp": 0.6, "pop": 0.4}
+    regions : gpd.GeoDataFrame
+        GeoDataFrame containing the regions with a 'country' column.
+
+    Returns
+    -------
+    pd.Series
+        Series of distribution keys indexed by region names.
+    """
+
+    gdp_weight = distribution_key.get("gdp", 0.6)
+    pop_weight = distribution_key.get("pop", 0.4)
+
+    nuts3 = gpd.read_file(nuts3_fn).to_crs(epsg=3035)
+    nuts3.rename(columns={"name": "nuts3_name"}, inplace=True)
+
+    regions["pop"] = redistribute_attribute(
+        nuts3, regions.reset_index(drop=True), "pop"
+    )
+    regions["gdp"] = redistribute_attribute(
+        nuts3, regions.reset_index(drop=True), "gdp"
+    )
+
+    nuts3_keys = []
+    for country, group in regions.groupby("country"):
+        factors = normed(
+            gdp_weight * normed(group["gdp"]) + pop_weight * normed(group["pop"])
+        )
+        nuts3_keys.append(factors)
+    return pd.concat(nuts3_keys).reindex(regions.index)
 
 
 def upsample_load(
     n: pypsa.Network,
     regions_fn: str,
     load_fn: str,
+    raster_fn: str,
+    gb_excel_fn: str,
+    gb_geojson_fn: str,
     nuts3_fn: str,
     distribution_key: dict[str, float],
+    substation_only: bool = False,
     load_source: str = "opsd",
-) -> pd.DataFrame:
-    substation_lv_i = n.buses.index[n.buses["substation_lv"]]
-    gdf_regions = gpd.read_file(regions_fn).set_index("name").reindex(substation_lv_i)
-    load = pd.read_csv(load_fn, index_col=0, parse_dates=True)
-
-    nuts3 = gpd.read_file(nuts3_fn).set_index("index")
+) -> xr.DataArray:
+    regions = gpd.read_file(regions_fn).set_index("name", drop=False).to_crs(epsg=3035)
 
-    gdp_weight = distribution_key.get("gdp", 0.6)
-    pop_weight = distribution_key.get("pop", 0.4)
+    if substation_only:
+        substation_lv_i = n.buses.index[n.buses["substation_lv"]]
+        regions = regions.reindex(substation_lv_i)
+    load = pd.read_csv(load_fn, index_col=0, parse_dates=True)
 
     if load_source == "tyndp":
         data_array = xr.DataArray(
@@ -65,37 +200,42 @@ def upsample_load(
             coords={"time": load.index.values, "bus": load.columns.values},
         )
     else:
-        data_arrays = []
+        ea_keys = energy_atlas_distribution_keys(raster_fn, regions)
+        gb_keys = gb_distribution_keys(gb_excel_fn, gb_geojson_fn, regions)
+        nuts3_keys = nuts3_distribution_keys(nuts3_fn, distribution_key, regions)
 
-        for cntry, group in gdf_regions.geometry.groupby(gdf_regions.country):
-            load_ct = load[cntry]
+        factors = ea_keys.combine_first(gb_keys).combine_first(nuts3_keys)
 
-            if len(group) == 1:
-                factors = pd.Series(1.0, index=group.index)
+        # sanitize: need to renormalize since `gb_keys` only cover Great Britain
+        # and Northern Ireland is taken from `nuts3_keys`
+        if "GB" in regions.country:
+            uk_regions_i = regions.query("country == 'GB'").index
+            uk_weights = factors.loc[uk_regions_i].sum()
+            factors.loc[uk_regions_i] /= uk_weights
 
-            else:
-                nuts3_cntry = nuts3.loc[nuts3.country == cntry]
-                transfer = shapes_to_shapes(group, nuts3_cntry.geometry).T.tocsr()
-                gdp_n = pd.Series(
-                    transfer.dot(nuts3_cntry["gdp"].fillna(1.0).values),
-                    index=group.index,
-                )
-                pop_n = pd.Series(
-                    transfer.dot(nuts3_cntry["pop"].fillna(1.0).values),
-                    index=group.index,
-                )
+        data_arrays = []
 
-                factors = normed(
-                    gdp_weight * normed(gdp_n) + pop_weight * normed(pop_n)
+        for cntry, group in regions.geometry.groupby(regions.country):
+            if cntry not in load.columns:
+                logger.warning(
+                    f"Cannot upsample load for {cntry}: no load data defined"
                 )
+                continue
+
+            load_ct = load[cntry]
+            factors_ct = factors.loc[group.index]
 
             data_arrays.append(
                 xr.DataArray(
-                    factors.values * load_ct.values[:, np.newaxis],
+                    factors_ct.values * load_ct.values[:, np.newaxis],
                     dims=["time", "bus"],
-                    coords={"time": load_ct.index.values, "bus": factors.index.values},
+                    coords={
+                        "time": load_ct.index.values,
+                        "bus": factors_ct.index.values,
+                    },
                 )
             )
+
         data_array = xr.concat(data_arrays, dim="bus")
 
     return data_array
@@ -117,8 +257,12 @@ def upsample_load(
         n,
         regions_fn=snakemake.input.regions,
         load_fn=snakemake.input.load,
+        raster_fn=snakemake.input.raster,
+        gb_excel_fn=snakemake.input.gb_excel,
+        gb_geojson_fn=snakemake.input.gb_geojson,
         nuts3_fn=snakemake.input.nuts3,
         distribution_key=params.distribution_key,
+        substation_only=params.substation_only,
         load_source=snakemake.params.load_source,
     )
 
diff --git a/scripts/build_energy_totals.py b/scripts/build_energy_totals.py
index 4a24e624b8..f121b2df3c 100644
--- a/scripts/build_energy_totals.py
+++ b/scripts/build_energy_totals.py
@@ -7,10 +7,10 @@
 Build total energy demands and carbon emissions per country using JRC IDEES,
 eurostat, and EEA data.
 
-- Country-specific data is read in :func:`build_idees` and read in from :mod:`scripts/build_eurostat_balances` and :mod:`scripts/build_swiss_energy_balances`.
-- :func:`build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data.
-- :func:`build_district_heat_share` calculates the share of district heating for each country from IDEES data.
-- Historical CO2 emissions are calculated in :func:`build_eea_co2` and :func:`build_eurostat_co2` and combined in :func:`build_co2_totals`.
+- Country-specific data is read in `build_idees` and read in from [build_eurostat_balances][] and `build_swiss_energy_balances`.
+- `build_energy_totals` then combines energy data from Eurostat, Swiss, and IDEES data.
+- `build_district_heat_share` calculates the share of district heating for each country from IDEES data.
+- Historical CO2 emissions are calculated in `build_eea_co2` and `build_eurostat_co2` and combined in `build_co2_totals`.
 
 Outputs
 -------
@@ -44,10 +44,10 @@ def cartesian(s1: pd.Series, s2: pd.Series) -> pd.DataFrame:
 
     Parameters
     ----------
-        s1: pd.Series
-            The first pandas Series
-        s2: pd.Series:
-            The second pandas Series.
+    s1 : pd.Series
+        The first pandas Series.
+    s2 : pd.Series
+        The second pandas Series.
 
     Returns
     -------
@@ -1213,11 +1213,13 @@ def build_transformation_output_coke(eurostat, fn):
 
     Parameters
     ----------
-    eurostat (pd.DataFrame): A pandas DataFrame containing Eurostat data with
-                             a multi-level index
-    fn (str): The file path where the resulting CSV file should be saved.
+    eurostat : pd.DataFrame
+        A pandas DataFrame containing Eurostat data with a multi-level index.
+    fn : str
+        The file path where the resulting CSV file should be saved.
 
-    Output:
+    Notes
+    -----
     The resulting transformation output data for coke ovens is saved as a CSV
     file at the path specified in fn.
     """
diff --git a/scripts/build_gas_network.py b/scripts/build_gas_network.py
index 9b006ed904..ebb01a5d21 100644
--- a/scripts/build_gas_network.py
+++ b/scripts/build_gas_network.py
@@ -23,10 +23,10 @@ def diameter_to_capacity(pipe_diameter_mm):
     """
     Calculate pipe capacity in MW based on diameter in mm.
 
-    20 inch (500 mm)  50 bar -> 1.5   GW CH4 pipe capacity (LHV) 24 inch
-    (600 mm)  50 bar -> 5     GW CH4 pipe capacity (LHV) 36 inch (900
-    mm)  50 bar -> 11.25 GW CH4 pipe capacity (LHV) 48 inch (1200 mm) 80
-    bar -> 21.7  GW CH4 pipe capacity (LHV)
+    20 inch (500 mm)  50 bar -> 1.5   GW CH4 pipe capacity (LHV)
+    24 inch (600 mm)  50 bar -> 5     GW CH4 pipe capacity (LHV)
+    36 inch (900 mm)  50 bar -> 11.25 GW CH4 pipe capacity (LHV)
+    48 inch (1200 mm) 80 bar -> 21.7  GW CH4 pipe capacity (LHV)
 
     Based on p.15 of
     https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf
@@ -131,8 +131,10 @@ def prepare_dataset(
     # lines which have way too discrepant line lengths
     # get assigned haversine length * length factor
     df["length_haversine"] = df.apply(
-        lambda p: length_factor
-        * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y]),
+        lambda p: (
+            length_factor
+            * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y])
+        ),
         axis=1,
     )
     ratio = df.eval("length / length_haversine")
diff --git a/scripts/build_geothermal_heat_potential.py b/scripts/build_geothermal_heat_potential.py
index df573866b7..a73129973c 100644
--- a/scripts/build_geothermal_heat_potential.py
+++ b/scripts/build_geothermal_heat_potential.py
@@ -10,12 +10,13 @@
 
 Relevant Settings
 -----------------
-.. code:: yaml
-    sector:
-        district_heating:
-            limited_heat_sources:
-                geothermal:
-                    constant_temperature_celsius
+```yaml
+sector:
+    district_heating:
+        limited_heat_sources:
+            geothermal:
+                constant_temperature_celsius
+```
 
 Inputs
 ------
diff --git a/scripts/build_hac_features.py b/scripts/build_hac_features.py
index 82c4d4e574..9d936cfaea 100644
--- a/scripts/build_hac_features.py
+++ b/scripts/build_hac_features.py
@@ -9,13 +9,13 @@
 
 import geopandas as gpd
 from atlite.aggregate import aggregate_matrix
-from dask.distributed import Client
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -31,10 +31,7 @@
     params = snakemake.params
     nprocesses = int(snakemake.threads)
 
-    if nprocesses > 1:
-        client = Client(n_workers=nprocesses, threads_per_worker=1)
-    else:
-        client = None
+    dask_kwargs = setup_dask(nprocesses)
 
     time = get_snapshots(params.snapshots, params.drop_leap_day)
 
@@ -47,6 +44,6 @@
         aggregate_matrix, matrix=I, index=regions.index
     )
 
-    ds = ds.load(scheduler=client)
+    ds = ds.load(**dask_kwargs)
 
     ds.to_netcdf(snakemake.output[0])
diff --git a/scripts/build_heat_totals.py b/scripts/build_heat_totals.py
index 761aa3005d..370711c994 100644
--- a/scripts/build_heat_totals.py
+++ b/scripts/build_heat_totals.py
@@ -4,7 +4,7 @@
 """
 Approximate heat demand for all weather years.
 
-:func:`approximate_heat_demand` approximates annual heat demand based on energy totals and heating degree days (HDD) using a regression of heat demand on HDDs.
+`approximate_heat_demand` approximates annual heat demand based on energy totals and heating degree days (HDD) using a regression of heat demand on HDDs.
 
 Outputs
 -------
diff --git a/scripts/build_hourly_heat_demand.py b/scripts/build_hourly_heat_demand.py
index bdd249c792..aba6b4e497 100644
--- a/scripts/build_hourly_heat_demand.py
+++ b/scripts/build_hourly_heat_demand.py
@@ -6,7 +6,7 @@
 
 Water and space heating demand profiles are generated using intraday profiles from BDEW. Different profiles are used for the residential and services sectors as well as weekdays and weekend.
 
-The daily heat demand is multiplied by the intraday profile to obtain the hourly heat demand time series. The rule is executed in ``build_sector.smk``.
+The daily heat demand is multiplied by the intraday profile to obtain the hourly heat demand time series. The rule is executed in `build_sector.smk`.
 """
 
 import logging
@@ -46,7 +46,7 @@ def heat_dsm_profile(nodes, options):
         Node identifiers for which to generate profiles.
     options : dict
         Configuration dictionary containing:
-        - options['residential_heat']['dsm']['restriction_time']: list of int
+        - ``options["residential_heat"]["dsm"]["restriction_time"]``: list of int
             Hours at which storage must be empty (checkpoint hours).
 
     Returns
diff --git a/scripts/build_hydro_profile.py b/scripts/build_hydro_profile.py
index 7a4e2d9461..a91ace224f 100644
--- a/scripts/build_hydro_profile.py
+++ b/scripts/build_hydro_profile.py
@@ -7,20 +7,15 @@
 Outputs
 -------
 
-- ``resources/profile_hydro.nc``:
+- `resources/profile_hydro.nc`:
 
-    ===================  ================  =========================================================
-    Field                Dimensions        Description
-    ===================  ================  =========================================================
-    inflow               countries, time   Inflow to the state of charge (in MW),
-                                           e.g. due to river inflow in hydro reservoir.
-    ===================  ================  =========================================================
+| Field | Dimensions | Description |
+| --- | --- | --- |
+| inflow | countries, time | Inflow to the state of charge (in MW), e.g. due to river inflow in hydro reservoir. |
 
-    .. image:: img/inflow-ts.png
-        :scale: 33 %
+![](img/inflow-ts.png)
 
-    .. image:: img/inflow-box.png
-        :scale: 33 %
+![](img/inflow-box.png)
 """
 
 import logging
diff --git a/scripts/build_industrial_energy_demand_per_node_today.py b/scripts/build_industrial_energy_demand_per_node_today.py
index 749a15f077..a78bd1d3fd 100644
--- a/scripts/build_industrial_energy_demand_per_node_today.py
+++ b/scripts/build_industrial_energy_demand_per_node_today.py
@@ -10,7 +10,7 @@
 -------
 
 This rule maps the industrial energy demand per country `industrial_energy_demand_per_country_today.csv` to each bus region.
-The energy demand per country is multiplied by the mapping value from the file ``industrial_distribution_key_base_s_{clusters}.csv`` between 0 and 1 to get the industrial energy demand per bus.
+The energy demand per country is multiplied by the mapping value from the file `industrial_distribution_key_base_s_{clusters}.csv` between 0 and 1 to get the industrial energy demand per bus.
 
 The unit of the energy demand is TWh/a.
 """
diff --git a/scripts/build_industrial_production_per_country.py b/scripts/build_industrial_production_per_country.py
index 77f5482373..f1395c8db7 100644
--- a/scripts/build_industrial_production_per_country.py
+++ b/scripts/build_industrial_production_per_country.py
@@ -9,7 +9,7 @@
 
 The industrial production is taken from the `JRC-IDEES <https://joint-research-centre.ec.europa.eu/potencia-policy-oriented-tool-energy-and-climate-change-impact-assessment/jrc-idees_en)>`.
 This dataset provides detailed information about the consumption of energy for various processes.
-If the country is not part of the EU28, the energy consumption in the industrial sectors is taken from the `Eurostat <https://ec.europa.eu/eurostat/de/data/database>` dataset. The industrial production is calculated for the year specified in the config["industry"]["reference_year"].
+If the country is not part of the EU28, the energy consumption in the industrial sectors is taken from the `Eurostat <https://ec.europa.eu/eurostat/de/data/database>` dataset. The industrial production is calculated for the year specified in the `config["industry"]["reference_year"]`.
 
 The ammonia production is provided by the rule `build_ammonia_production <https://pypsa-eur.readthedocs.io/en/latest/sector.html#module-build_ammonia_production>`. Since Switzerland is not part of the EU28 nor reported by eurostat, the energy consumption in the industrial sectors is taken from the `BFE <https://pubdb.bfe.admin.ch/de/publication/download/11817> dataset.
 After the industrial production is calculated, the basic chemicals are separated into ammonia, chlorine, methanol and HVC. The production of these chemicals is assumed to be proportional to the production of basic chemicals without ammonia.
diff --git a/scripts/build_industrial_production_per_country_tomorrow.py b/scripts/build_industrial_production_per_country_tomorrow.py
index b1943e9850..999a8268fd 100644
--- a/scripts/build_industrial_production_per_country_tomorrow.py
+++ b/scripts/build_industrial_production_per_country_tomorrow.py
@@ -7,7 +7,7 @@
 Description
 -------
 
-This rule uses the ``industrial_production_per_country.csv`` file and the expected recycling rates to calculate the future production of the industrial sectors.
+This rule uses the `industrial_production_per_country.csv` file and the expected recycling rates to calculate the future production of the industrial sectors.
 
 **St_primary_fraction**
 The fraction of steel that is coming from primary production. This is more energy intensive than recycling steel (secondary production).
diff --git a/scripts/build_industrial_production_per_node.py b/scripts/build_industrial_production_per_node.py
index 007be8a043..d0b183c5dd 100644
--- a/scripts/build_industrial_production_per_node.py
+++ b/scripts/build_industrial_production_per_node.py
@@ -77,8 +77,6 @@ def build_nodal_industrial_production():
             )
             keys[mapping] = 0
             key = keys.loc[buses, mapping].fillna(0)
-
-        key = keys.loc[buses, mapping]
         nodal_production.loc[buses, sector] = (
             industrial_production.at[country, sector] * key
         )
diff --git a/scripts/build_industry_sector_ratios_intermediate.py b/scripts/build_industry_sector_ratios_intermediate.py
index ee9c24e336..cb9229eac4 100644
--- a/scripts/build_industry_sector_ratios_intermediate.py
+++ b/scripts/build_industry_sector_ratios_intermediate.py
@@ -9,7 +9,7 @@
 Description
 -------
 
-The config["industry"]["sector_ratios_fraction_future"] parameter determines the progress towards the future best-in-class consumption.
+The `config["industry"]["sector_ratios_fraction_future"]` parameter determines the progress towards the future best-in-class consumption.
 For each bus, the following industry subcategories
 
 - Electric arc
diff --git a/scripts/build_line_rating.py b/scripts/build_line_rating.py
index 2d15f7113a..d03435be14 100755
--- a/scripts/build_line_rating.py
+++ b/scripts/build_line_rating.py
@@ -9,7 +9,7 @@
 Description
 -----------
 
-The rule :mod:`build_line_rating` calculates the line rating for transmission lines.
+The rule [build_line_rating][] calculates the line rating for transmission lines.
 The line rating provides the maximal capacity of a transmission line considering the heat exchange with the environment.
 
 The following heat gains and losses are considered:
@@ -33,7 +33,6 @@
 import numpy as np
 import pypsa
 import xarray as xr
-from dask.distributed import Client
 from shapely.geometry import LineString as Line
 from shapely.geometry import Point
 
@@ -42,6 +41,7 @@
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -144,11 +144,7 @@ def calculate_line_rating(
     nprocesses = int(snakemake.threads)
     show_progress = not snakemake.config["run"].get("disable_progressbar", True)
     show_progress = show_progress and snakemake.config["atlite"]["show_progress"]
-    if nprocesses > 1:
-        client = Client(n_workers=nprocesses, threads_per_worker=1)
-    else:
-        client = None
-    dask_kwargs = {"scheduler": client}
+    dask_kwargs = setup_dask(nprocesses)
 
     n = pypsa.Network(snakemake.input.base_network)
     time = get_snapshots(snakemake.params.snapshots, snakemake.params.drop_leap_day)
diff --git a/scripts/build_mobility_profiles.py b/scripts/build_mobility_profiles.py
index d3103edf93..f9ad6fa4ef 100644
--- a/scripts/build_mobility_profiles.py
+++ b/scripts/build_mobility_profiles.py
@@ -11,37 +11,26 @@
 Outputs
 -------
 
-- ``data/mobility_profiles/build/<version>/kfz.csv``: Weekly profile for all motor vehicles (cars, trucks, buses, motorcycles).
-- ``data/mobility_profiles/build/<version>/pkw.csv``: Weekly profile for passenger cars only.
+- `data/mobility_profiles/build/<version>/kfz.csv`: Weekly profile for all motor vehicles (cars, trucks, buses, motorcycles).
+- `data/mobility_profiles/build/<version>/pkw.csv`: Weekly profile for passenger cars only.
 
 **kfz.csv**
 
-    ===================  ==========  ==========  =========================================================
-    Field                Dimensions  Unit        Description
-    ===================  ==========  ==========  =========================================================
-    day                  day        day of week  Day of the week (0=Monday, 6=Sunday)
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    hour                 hour       hour of day  Hour of the day (0-23)
-    -------------------  ----------  -----------  ---------------------------------------------------------
-    count                day, hour   --          Aggregated vehicle counts for all motor vehicles
-                                                 (across all aggregated years and street types)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    n_counts             day, hour   --          Number of data points that were aggregated.
-    ===================  ==========  ==========  =========================================================
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| day | day | day of week | Day of the week (0=Monday, 6=Sunday) |
+| hour | hour | hour of day | Hour of the day (0-23) |
+| count | day, hour | -- | Aggregated vehicle counts for all motor vehicles (across all aggregated years and street types) |
+| n_counts | day, hour | -- | Number of data points that were aggregated. |
 
 **pkw.csv**
-    ===================  ==========  ==========  =========================================================
-    Field                Dimensions  Unit        Description
-    ===================  ==========  ==========  =========================================================
-    day                  day         day of week Day of the week (0=Monday, 6=Sunday)
-    -------------------  ----------  ----------- ---------------------------------------------------------
-    hour                 hour        hour of day Hour of the day (0-23)
-    -------------------  ----------  ----------- ---------------------------------------------------------
-    count                day, hour   --          Aggregated vehicle counts for passenger cars only
-                                                 (across all aggregated years and street types)
-    -------------------  ----------  ----------  ---------------------------------------------------------
-    n_counts             day, hour   --          Number of data points that were aggregated.
-    ===================  ==========  ==========  =========================================================
+
+| Field | Dimensions | Unit | Description |
+| --- | --- | --- | --- |
+| day | day | day of week | Day of the week (0=Monday, 6=Sunday) |
+| hour | hour | hour of day | Hour of the day (0-23) |
+| count | day, hour | -- | Aggregated vehicle counts for passenger cars only (across all aggregated years and street types) |
+| n_counts | day, hour | -- | Number of data points that were aggregated. |
 
 """
 
diff --git a/scripts/build_monthly_prices.py b/scripts/build_monthly_prices.py
index 43df084d6c..be56c3f465 100644
--- a/scripts/build_monthly_prices.py
+++ b/scripts/build_monthly_prices.py
@@ -10,7 +10,7 @@
 Description
 -----------
 
-The rule :mod:`build_monthly_prices` collects monthly fuel prices
+The rule [build_monthly_prices][] collects monthly fuel prices
 and translates them from different input sources to pypsa syntax.
 """
 
diff --git a/scripts/build_natura.py b/scripts/build_natura.py
index 94f16a9b64..5f8e5a67f4 100644
--- a/scripts/build_natura.py
+++ b/scripts/build_natura.py
@@ -2,39 +2,34 @@
 #
 # SPDX-License-Identifier: MIT
 """
-Rasters the vector data of the `Natura 2000.
-
-<https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas onto all
+Rasters the vector data of the [Natura 2000.](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas onto all
 cutout regions.
 
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    renewable:
-        {technology}:
-            cutout:
+```yaml
+renewable:
+    {technology}:
+        cutout:
+```
 
-.. seealso::
-    Documentation of the configuration file ``config/config.yaml`` at
-    :ref:`renewable_cf`
+!!! info "See also"
+    Documentation of the configuration file `config/config.yaml` at renewable_cf
 
 Inputs
 ------
 
-- ``data/bundle/natura/Natura2000_end2015.shp``: `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas.
+- `data/bundle/natura/Natura2000_end2015.shp`: [Natura 2000](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas.
 
-    .. image:: img/natura.png
-        :scale: 33 %
+    ![](img/natura.png)
 
 Outputs
 -------
 
-- ``resources/natura.tiff``: Rasterized version of `Natura 2000 <https://en.wikipedia.org/wiki/Natura_2000>`_ natural protection areas to reduce computation times.
+- `resources/natura.tiff`: Rasterized version of [Natura 2000](https://en.wikipedia.org/wiki/Natura_2000) natural protection areas to reduce computation times.
 
-    .. image:: img/natura.png
-        :scale: 33 %
+    ![](img/natura.png)
 
 Description
 -----------
diff --git a/scripts/build_osm_boundaries.py b/scripts/build_osm_boundaries.py
index 345db010c7..172f7cc931 100755
--- a/scripts/build_osm_boundaries.py
+++ b/scripts/build_osm_boundaries.py
@@ -94,9 +94,12 @@ def build_osm_boundaries(country, adm1_path, offshore_shapes):
 
     Parameters
     ----------
-        - country (str): The country code (e.g., 'DE' for Germany).
-        - adm1_path (str): The file path to the administrative level 1 OSM data in JSON format.
-        - offshore_shapes (GeoDataFrame): A GeoDataFrame containing offshore shapes to clip the boundaries.
+    country : str
+        The country code (e.g., 'DE' for Germany).
+    adm1_path : str
+        The file path to the administrative level 1 OSM data in JSON format.
+    offshore_shapes : GeoDataFrame
+        A GeoDataFrame containing offshore shapes to clip the boundaries.
 
     Returns
     -------
diff --git a/scripts/build_osm_network.py b/scripts/build_osm_network.py
index a4f1523980..cc10057bd8 100644
--- a/scripts/build_osm_network.py
+++ b/scripts/build_osm_network.py
@@ -242,10 +242,14 @@ def split_overpassing_lines(lines, buses, distance_crs=DISTANCE_CRS, tol=1):
 
     Parameters
     ----------
-        - lines (GeoDataFrame): The lines to be split.
-        - buses (GeoDataFrame): The buses representing nodes.
-        - distance_crs (str): The coordinate reference system (CRS) for distance calculations.
-        - tol (float): The tolerance distance in meters for determining if a bus is within a line.
+    lines : GeoDataFrame
+        The lines to be split.
+    buses : GeoDataFrame
+        The buses representing nodes.
+    distance_crs : str
+        The coordinate reference system (CRS) for distance calculations.
+    tol : float
+        The tolerance distance in meters for determining if a bus is within a line.
 
     Returns
     -------
diff --git a/scripts/build_powerplants.py b/scripts/build_powerplants.py
index 364b286356..a7614ac576 100755
--- a/scripts/build_powerplants.py
+++ b/scripts/build_powerplants.py
@@ -5,62 +5,61 @@
 
 """
 Retrieves conventional powerplant capacities and locations from
-`powerplantmatching <https://github.com/PyPSA/powerplantmatching>`_, assigns
-these to buses and creates a ``.csv`` file. It is possible to amend the
+[powerplantmatching](https://github.com/PyPSA/powerplantmatching), assigns
+these to buses and creates a `.csv` file. It is possible to amend the
 powerplant database with custom entries provided in
-``data/custom_powerplants.csv``.
+`data/custom_powerplants.csv`.
 Lastly, for every substation, powerplants with zero-initial capacity can be added for certain fuel types automatically.
 
 Outputs
 -------
 
-- ``resource/powerplants_s_{clusters}.csv``: A list of conventional power plants (i.e. neither wind nor solar) with fields for name, fuel type, technology, country, capacity in MW, duration, commissioning year, retrofit year, latitude, longitude, and dam information as documented in the `powerplantmatching README <https://github.com/PyPSA/powerplantmatching/blob/master/README.md>`_; additionally it includes information on the closest substation/bus in ``networks/base_s_{clusters}.nc``.
+- `resource/powerplants_s_{clusters}.csv`: A list of conventional power plants (i.e. neither wind nor solar) with fields for name, fuel type, technology, country, capacity in MW, duration, commissioning year, retrofit year, latitude, longitude, and dam information as documented in the [powerplantmatching README](https://github.com/PyPSA/powerplantmatching/blob/master/README.md); additionally it includes information on the closest substation/bus in `networks/base_s_{clusters}.nc`.
 
-    .. image:: img/powerplantmatching.png
-        :scale: 30 %
+    ![](img/powerplantmatching.png)
 
-    **Source:** `powerplantmatching on GitHub <https://github.com/PyPSA/powerplantmatching>`_
+    **Source:** [powerplantmatching on GitHub](https://github.com/PyPSA/powerplantmatching)
 
 Description
 -----------
 
-The configuration options ``electricity: powerplants_filter`` and ``electricity: custom_powerplants`` can be used to control whether data should be retrieved from the original powerplants database or from custom amendments. These specify `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ commands.
-In addition the configuration option ``electricity: everywhere_powerplants`` can be used to place powerplants with zero-initial capacity of certain fuel types at all substations.
+The configuration options `electricity: powerplants_filter` and `electricity: custom_powerplants` can be used to control whether data should be retrieved from the original powerplants database or from custom amendments. These specify [pandas.query](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html) commands.
+In addition the configuration option `electricity: everywhere_powerplants` can be used to place powerplants with zero-initial capacity of certain fuel types at all substations.
 
 1. Adding all powerplants from custom:
 
-    .. code:: yaml
-
-        powerplants_filter: false
-        custom_powerplants: true
+    ```yaml
+    powerplants_filter: false
+    custom_powerplants: true
+    ```
 
 2. Replacing powerplants in e.g. Germany by custom data:
 
-    .. code:: yaml
-
-        powerplants_filter: Country not in ['Germany']
-        custom_powerplants: true
+    ```yaml
+    powerplants_filter: Country not in ['Germany']
+    custom_powerplants: true
+    ```
 
     or
 
-    .. code:: yaml
-
-        powerplants_filter: Country not in ['Germany']
-        custom_powerplants: Country in ['Germany']
+    ```yaml
+    powerplants_filter: Country not in ['Germany']
+    custom_powerplants: Country in ['Germany']
+    ```
 
 
 3. Adding additional built year constraints:
 
-    .. code:: yaml
-
-        powerplants_filter: Country not in ['Germany'] and YearCommissioned <= 2015
-        custom_powerplants: YearCommissioned <= 2015
+    ```yaml
+    powerplants_filter: Country not in ['Germany'] and YearCommissioned <= 2015
+    custom_powerplants: YearCommissioned <= 2015
+    ```
 
 4. Adding powerplants at all substations for 4 conventional carrier types:
 
-    .. code:: yaml
-
-        everywhere_powerplants: ['Natural Gas', 'Coal', 'nuclear', 'OCGT']
+    ```yaml
+    everywhere_powerplants: ['Natural Gas', 'Coal', 'nuclear', 'OCGT']
+    ```
 """
 
 import itertools
diff --git a/scripts/build_ptes_operations/run.py b/scripts/build_ptes_operations/run.py
index 169e7612ef..984df261f8 100644
--- a/scripts/build_ptes_operations/run.py
+++ b/scripts/build_ptes_operations/run.py
@@ -19,14 +19,15 @@
 
 Relevant Settings
 -----------------
-.. code:: yaml
-    sector
-        district_heating:
-            ptes:
-                dynamic_ptes_capacity:
-                supplemental_heating:
-                    enable:
-                max_top_temperature:
+```yaml
+sector
+    district_heating:
+        ptes:
+            dynamic_ptes_capacity:
+            supplemental_heating:
+                enable:
+            max_top_temperature:
+```
 
 Inputs
 ------
diff --git a/scripts/build_renewable_profiles.py b/scripts/build_renewable_profiles.py
index 724d002e16..3610d6cfad 100644
--- a/scripts/build_renewable_profiles.py
+++ b/scripts/build_renewable_profiles.py
@@ -3,47 +3,35 @@
 # SPDX-License-Identifier: MIT
 """
 Calculates for each clustered region the (i) installable capacity (based on
-land-use from :mod:`determine_availability_matrix`), (ii) the available
+land-use from [determine_availability_matrix][]), (ii) the available
 generation time series (based on weather data), and (iii) the average distance
 from the node for onshore wind, AC-connected offshore wind, DC-connected
 offshore wind and solar PV generators.
 
-.. note:: Hydroelectric profiles are built in script :mod:`build_hydro_profiles`.
+**Note:** Hydroelectric profiles are built in script `build_hydro_profiles`.
 
 Outputs
 -------
 
-- ``resources/profile_{technology}.nc`` with the following structure
+- `resources/profile_{technology}.nc` with the following structure
 
-    ===================  ====================  =========================================================
-    Field                Dimensions            Description
-    ===================  ====================  =========================================================
-    profile              year, bus, bin, time  the per unit hourly availability factors for each bus
-    -------------------  --------------------  ---------------------------------------------------------
-    p_nom_max            bus, bin              maximal installable capacity at the bus (in MW)
-    -------------------  --------------------  ---------------------------------------------------------
-    average_distance     bus, bin              average distance of units in the region to the
-                                               grid bus for onshore technologies and to the shoreline
-                                               for offshore technologies (in km)
-    ===================  ====================  =========================================================
+| Field | Dimensions | Description |
+| --- | --- | --- |
+| profile | year, bus, bin, time | the per unit hourly availability factors for each bus |
+| p_nom_max | bus, bin | maximal installable capacity at the bus (in MW) |
+| average_distance | bus, bin | average distance of units in the region to the grid bus for onshore technologies and to the shoreline for offshore technologies (in km) |
 
-    - **profile**
+- **profile**
 
-    .. image:: img/profile_ts.png
-        :scale: 33 %
-        :align: center
+![](img/profile_ts.png)
 
-    - **p_nom_max**
+- **p_nom_max**
 
-    .. image:: img/p_nom_max_hist.png
-        :scale: 33 %
-        :align: center
+![](img/p_nom_max_hist.png)
 
-    - **average_distance**
+- **average_distance**
 
-    .. image:: img/distance_hist.png
-        :scale: 33 %
-        :align: center
+![](img/distance_hist.png)
 
 Description
 -----------
@@ -54,7 +42,7 @@
 so we have to work out the distribution of generators across the grid cells
 within each region. This is done by taking account of a combination of the
 available land at each grid cell (computed in
-:mod:`determine_availability_matrix`) and the capacity factor there.
+[determine_availability_matrix][]) and the capacity factor there.
 
 Based on the availability matrix, the script first computes how much of the
 technology can be installed at each cutout grid cell. To compute the layout of
@@ -65,24 +53,16 @@
 Based on the average capacity factor, the potentials are further divided into a
 configurable number of resource classes (bins).
 
-.. image:: img/offwinddc-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/offwinddc-gridcell.png)
 
-.. image:: img/offwindac-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/offwindac-gridcell.png)
 
-.. image:: img/onwind-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/onwind-gridcell.png)
 
-.. image:: img/solar-gridcell.png
-    :scale: 50 %
-    :align: center
+![](img/solar-gridcell.png)
 
 This layout is then used to compute the generation availability time series from
-the weather data cutout from ``atlite``.
+the weather data cutout from `atlite`.
 
 The maximal installable potential for the node (`p_nom_max`) is computed by
 adding up the installable potentials of the individual grid cells.
@@ -97,13 +77,13 @@
 import pandas as pd
 import xarray as xr
 from atlite.gis import ExclusionContainer
-from dask.distributed import Client
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 from scripts.build_shapes import _simplify_polys
 
@@ -140,10 +120,7 @@
     if correction_factor != 1.0:
         logger.info(f"correction_factor is set as {correction_factor}")
 
-    if nprocesses > 1:
-        client = Client(n_workers=nprocesses, threads_per_worker=1)
-    else:
-        client = None
+    dask_kwargs = setup_dask(nprocesses)
 
     sns = get_snapshots(snakemake.params.snapshots, snakemake.params.drop_leap_day)
 
@@ -173,15 +150,17 @@
     )
 
     func = getattr(cutout, resource.pop("method"))
-    if client is not None:
-        resource["dask_kwargs"] = {"scheduler": client}
 
     logger.info(
         f"Calculate average capacity factor per grid cell for technology {technology}..."
     )
     start = time.time()
 
-    capacity_factor = correction_factor * func(capacity_factor=True, **resource)
+    capacity_factor = correction_factor * func(
+        capacity_factor=True,
+        dask_kwargs=dask_kwargs,
+        **resource,
+    )
 
     duration = time.time() - start
     logger.info(
@@ -265,6 +244,7 @@
             index=matrix.indexes["bus_bin"],
             per_unit=True,
             return_capacity=False,
+            dask_kwargs=dask_kwargs,
             **resource,
         )
         profile = profile.unstack("bus_bin")
@@ -326,6 +306,3 @@
         ds["profile"] = ds["profile"].where(ds["profile"] >= min_p_max_pu, 0)
 
     ds.to_netcdf(snakemake.output.profile)
-
-    if client is not None:
-        client.shutdown()
diff --git a/scripts/build_retro_cost.py b/scripts/build_retro_cost.py
index 89647e886b..7b38304e48 100755
--- a/scripts/build_retro_cost.py
+++ b/scripts/build_retro_cost.py
@@ -496,9 +496,11 @@ def prepare_cost_retro(country_iso_dic):
         cost_retro[["cost_fix", "cost_var"]] = cost_retro[
             ["cost_fix", "cost_var"]
         ].apply(
-            lambda x: x
-            * interest_rate
-            / (1 - (1 + interest_rate) ** -cost_retro.loc[x.index, "life_time"])
+            lambda x: (
+                x
+                * interest_rate
+                / (1 - (1 + interest_rate) ** -cost_retro.loc[x.index, "life_time"])
+            )
         )
 
     # weightings of costs ---------------------------------------------
diff --git a/scripts/build_shapes.py b/scripts/build_shapes.py
index ffb6512a10..a5461eeec0 100755
--- a/scripts/build_shapes.py
+++ b/scripts/build_shapes.py
@@ -197,7 +197,8 @@ def simplify_europe(regions):
 
     Parameters
     ----------
-        regions (GeoDataFrame): A GeoDataFrame containing the geometries of European regions.
+    regions : GeoDataFrame
+        A GeoDataFrame containing the geometries of European regions.
 
     Returns
     -------
@@ -262,13 +263,30 @@ def create_regions(
 
     Parameters
     ----------
-        - country_list (list): List of country codes to include.
-        - nuts3_path (str): Path to the NUTS3 2021 shapefile.
-        - ba_adm1_path (str): Path to adm1 boundaries for Bosnia and  Herzegovina.
-        - md_adm1_path (str): Path to adm1 boundaries for Moldova.
-        - ua_adm1_path (str): Path to adm1 boundaries for Ukraine.
-        - xk_adm1_path (str): Path to adm1 boundaries for Kosovo.
-        - offshore_shapes (geopandas.GeoDataFrame): Geographical shapes of the exclusive economic zones.
+    country_list : list
+        List of country codes to include.
+    nuts3_path : str
+        Path to the NUTS3 2021 shapefile.
+    ba_adm1_path : str
+        Path to adm1 boundaries for Bosnia and Herzegovina.
+    md_adm1_path : str
+        Path to adm1 boundaries for Moldova.
+    ua_adm1_path : str
+        Path to adm1 boundaries for Ukraine.
+    xk_adm1_path : str
+        Path to adm1 boundaries for Kosovo.
+    offshore_shapes : geopandas.GeoDataFrame
+        Geographical shapes of the exclusive economic zones.
+    nuts3_gdp : str
+        Path to NUTS3 GDP data.
+    nuts3_pop : str
+        Path to NUTS3 population data.
+    bidding_zones_path : str
+        Path to bidding zones shapefile.
+    other_gdp : str
+        Path to GDP data for non-NUTS3 countries.
+    other_pop : str
+        Path to population data for non-NUTS3 countries.
 
     Returns
     -------
@@ -401,12 +419,16 @@ def calc_gdp_pop(country, regions, gdp_non_nuts3, pop_non_nuts3):
 
     Parameters
     ----------
-        - country (str): The two-letter country code of the non-NUTS3 region.
-        - regions (GeoDataFrame): A GeoDataFrame containing the regions.
-        - gdp_non_nuts3 (str): The file path to the dataset containing the GDP p.c values
-          for non NUTS3 countries (e.g. MD, UA)
-        - pop_non_nuts3 (str): The file path to the dataset containing the POP values
-        for non NUTS3 countries (e.g. MD, UA)
+    country : str
+        The two-letter country code of the non-NUTS3 region.
+    regions : GeoDataFrame
+        A GeoDataFrame containing the regions.
+    gdp_non_nuts3 : str
+        The file path to the dataset containing the GDP p.c values
+        for non NUTS3 countries (e.g. MD, UA).
+    pop_non_nuts3 : str
+        The file path to the dataset containing the POP values
+        for non NUTS3 countries (e.g. MD, UA).
 
     Returns
     -------
diff --git a/scripts/build_ship_raster.py b/scripts/build_ship_raster.py
index f1db07cb58..576e713ccf 100644
--- a/scripts/build_ship_raster.py
+++ b/scripts/build_ship_raster.py
@@ -2,18 +2,15 @@
 #
 # SPDX-License-Identifier: MIT
 """
-Transforms the global ship density data from the `World Bank Data Catalogue.
-
-<https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density>`_
+Transforms the global ship density data from the [World Bank Data Catalogue.](https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density)
 to the size of the considered cutout. The global ship density raster is later
 used for the exclusion when calculating the offshore potentials.
 
 Outputs
 -------
 
-- ``resources/europe_shipdensity_raster.nc``: Reduced version of global shipping
-  traffic density from `World Bank Data Catalogue
-  <https://datacatalog.worldbank.org/search/dataset/0037580/>`_ to reduce
+- `resources/europe_shipdensity_raster.nc`: Reduced version of global shipping
+  traffic density from [World Bank Data Catalogue](https://datacatalog.worldbank.org/search/dataset/0037580/) to reduce
   computation time.
 
 Description
diff --git a/scripts/build_snapshot_weightings.py b/scripts/build_snapshot_weightings.py
index 781307f15c..f27612d85c 100644
--- a/scripts/build_snapshot_weightings.py
+++ b/scripts/build_snapshot_weightings.py
@@ -10,7 +10,7 @@
 Computes a time aggregation scheme for the given network, in the form of a CSV
 file with the snapshot weightings, indexed by the new subset of snapshots. This
 rule only computes said aggregation scheme; aggregation of time-varying network
-data is done in ``temporal_aggregation.py``.
+data is done in `temporal_aggregation.py`.
 """
 
 import logging
diff --git a/scripts/build_solar_thermal_profiles.py b/scripts/build_solar_thermal_profiles.py
index 8e0b845ce3..dd952ab5c6 100644
--- a/scripts/build_solar_thermal_profiles.py
+++ b/scripts/build_solar_thermal_profiles.py
@@ -5,10 +5,10 @@
 Build solar thermal collector profile time series.
 
 Uses ``atlite.Cutout.solar_thermal` to compute heat generation for clustered onshore regions from population layout and weather data cutout.
-The rule is executed in ``build_sector.smk``.
+The rule is executed in `build_sector.smk`.
 
-.. seealso::
-    `Atlite.Cutout.solar_thermal <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
+!!! info "See also"
+    [Atlite.Cutout.solar_thermal](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert)
 """
 
 import logging
@@ -16,13 +16,13 @@
 import geopandas as gpd
 import numpy as np
 import xarray as xr
-from dask.distributed import Client, LocalCluster
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -36,8 +36,7 @@
     set_scenario_config(snakemake)
 
     nprocesses = int(snakemake.threads)
-    cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
-    client = Client(cluster, asynchronous=True)
+    dask_kwargs = setup_dask(nprocesses)
 
     config = snakemake.params.solar_thermal
     config.pop("cutout", None)
@@ -65,7 +64,7 @@
         **config,
         matrix=M_tilde.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     )
 
diff --git a/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py b/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py
index 6a2d2a33b1..fd6a4047c0 100644
--- a/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py
+++ b/scripts/build_surface_water_heat_potentials/build_river_water_heat_potential.py
@@ -15,17 +15,17 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    sector:
-        district_heating:
-            dh_area_buffer: # Buffer around DH areas in meters to include nearby rivers
-            heat_source_cooling: # Exploitable temperature delta
-    snapshots:
-        start:
-        end:
-    enable:
-        drop_leap_day:
+```yaml
+sector:
+    district_heating:
+        dh_area_buffer: # Buffer around DH areas in meters to include nearby rivers
+        heat_source_cooling: # Exploitable temperature delta
+snapshots:
+    start:
+    end:
+enable:
+    drop_leap_day:
+```
 
 Inputs
 ------
diff --git a/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py b/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py
index a44e4a5c8d..882a7b8004 100644
--- a/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py
+++ b/scripts/build_surface_water_heat_potentials/build_sea_water_heat_potential.py
@@ -14,17 +14,17 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    sector:
-        district_heating:
-            dh_area_buffer: # Buffer around DH areas in meters to include nearby coastal areas
-            heat_source_cooling: # Exploitable temperature delta
-    snapshots:
-        start:
-        end:
-    enable:
-        drop_leap_day:
+```yaml
+sector:
+    district_heating:
+        dh_area_buffer: # Buffer around DH areas in meters to include nearby coastal areas
+        heat_source_cooling: # Exploitable temperature delta
+snapshots:
+    start:
+    end:
+enable:
+    drop_leap_day:
+```
 
 Inputs
 ------
diff --git a/scripts/build_temperature_profiles.py b/scripts/build_temperature_profiles.py
index f642578e2e..36df39ffd7 100644
--- a/scripts/build_temperature_profiles.py
+++ b/scripts/build_temperature_profiles.py
@@ -4,13 +4,11 @@
 """
 Build time series for air and soil temperatures per clustered model region.
 
-Uses ``atlite.Cutout.temperature`` and ``atlite.Cutout.soil_temperature compute temperature ambient air and soil temperature for the respective cutout. The rule is executed in ``build_sector.smk``.
+Uses `atlite.Cutout.temperature` and `atlite.Cutout.soil_temperature compute temperature ambient air and soil temperature for the respective cutout. The rule is executed in `build_sector.smk``.
 
 
-.. seealso::
-    `Atlite.Cutout.temperature <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
-    `Atlite.Cutout.soil_temperature <https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert>`_
-
+!!! info "See also"
+    [Atlite.Cutout.temperature](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert) [Atlite.Cutout.soil_temperature](https://atlite.readthedocs.io/en/master/ref_api.html#module-atlite.convert)
 """
 
 import logging
@@ -18,13 +16,13 @@
 import geopandas as gpd
 import numpy as np
 import xarray as xr
-from dask.distributed import Client, LocalCluster
 
 from scripts._helpers import (
     configure_logging,
     get_snapshots,
     load_cutout,
     set_scenario_config,
+    setup_dask,
 )
 
 logger = logging.getLogger(__name__)
@@ -41,8 +39,7 @@
     set_scenario_config(snakemake)
 
     nprocesses = int(snakemake.threads)
-    cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
-    client = Client(cluster, asynchronous=True)
+    dask_kwargs = setup_dask(nprocesses)
 
     time = get_snapshots(snakemake.params.snapshots, snakemake.params.drop_leap_day)
 
@@ -66,7 +63,7 @@
     temp_air = cutout.temperature(
         matrix=M_tilde.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     )
 
@@ -75,7 +72,7 @@
     temp_soil = cutout.soil_temperature(
         matrix=M_tilde.T,
         index=clustered_regions.index,
-        dask_kwargs=dict(scheduler=client),
+        dask_kwargs=dask_kwargs,
         show_progress=False,
     )
 
diff --git a/scripts/build_transmission_projects.py b/scripts/build_transmission_projects.py
index e5c540c710..cbafbdee21 100644
--- a/scripts/build_transmission_projects.py
+++ b/scripts/build_transmission_projects.py
@@ -5,24 +5,24 @@
 
 """
 Gets the transmission projects defined in the config file, concatenates and
-deduplicates them. Projects are later included in :mod:`add_electricity.py`.
+deduplicates them. Projects are later included in [add_electricity][].
 
 Inputs
 ------
 
-- ``networks/base_network.nc``:  Base network topology for the electricity grid. This is processed in :mod:`base_network.py`.
-- ``data/transmission_projects/"project_name"/``: Takes the transmission projects from the subfolder of data/transmission_projects. The subfolder name is the project name.
-- ``offshore_shapes.geojson``: Shapefile containing the offshore regions. Used to determine if a new bus should be added for a new line or link.
-- ``europe_shape.geojson``: Shapefile containing the shape of Europe. Used to determine if a project is within the considered countries.
+- `networks/base_network.nc`:  Base network topology for the electricity grid. This is processed in [base_network][].
+- `data/transmission_projects/"project_name"/`: Takes the transmission projects from the subfolder of data/transmission_projects. The subfolder name is the project name.
+- `offshore_shapes.geojson`: Shapefile containing the offshore regions. Used to determine if a new bus should be added for a new line or link.
+- `europe_shape.geojson`: Shapefile containing the shape of Europe. Used to determine if a project is within the considered countries.
 
 Outputs
 -------
 
-- ``transmission_projects/new_lines.csv``: New project lines to be added to the network. This includes new lines and upgraded lines.
-- ``transmission_projects/new_links.csv``: New project links to be added to the network. This includes new links and upgraded links.
-- ``transmission_projects/adjust_lines.csv``: For lines which are upgraded, the decommissioning year of the existing line is adjusted to the build year of the upgraded line.
-- ``transmission_projects/adjust_links.csv``: For links which are upgraded, the decommissioning year of the existing link is adjusted to the build year of the upgraded link.
-- ``transmission_projects/new_buses.csv``: For some links, we have to add new buses (e.g. North Sea Wind Power Hub).
+- `transmission_projects/new_lines.csv`: New project lines to be added to the network. This includes new lines and upgraded lines.
+- `transmission_projects/new_links.csv`: New project links to be added to the network. This includes new links and upgraded links.
+- `transmission_projects/adjust_lines.csv`: For lines which are upgraded, the decommissioning year of the existing line is adjusted to the build year of the upgraded line.
+- `transmission_projects/adjust_links.csv`: For links which are upgraded, the decommissioning year of the existing link is adjusted to the build year of the upgraded link.
+- `transmission_projects/new_buses.csv`: For some links, we have to add new buses (e.g. North Sea Wind Power Hub).
 """
 
 import logging
@@ -148,13 +148,16 @@ def get_branch_coords_from_geometry(linestring, reversed=False):
 
     Parameters
     ----------
-    linestring: Shapely linestring
-    reversed (bool, optional): If True, returns the end and start points instead of the start and end points.
-                               Defaults to False.
+    linestring : Shapely linestring
+        The linestring to reduce.
+    reversed : bool, optional
+        If True, returns the end and start points instead of the start and end points.
+        Defaults to False.
 
     Returns
     -------
-    numpy.ndarray: Flattened array of start and end coordinates.
+    numpy.ndarray
+        Flattened array of start and end coordinates.
     """
     coords = np.asarray(linestring.coords)
     ind = [0, -1] if not reversed else [-1, 0]
@@ -168,9 +171,8 @@ def get_branch_coords_from_buses(line):
 
     Parameters
     ----------
-    linestring: shapely linestring
-    reversed (bool, optional): If True, returns the end and start points instead of the start and end points.
-                               Defaults to False.
+    line : pandas.Series
+        A row from a branch component DataFrame with bus0 and bus1 attributes.
 
     Returns
     -------
diff --git a/scripts/build_tyndp_network.py b/scripts/build_tyndp_network.py
index b448f4eb06..10e3a81d36 100644
--- a/scripts/build_tyndp_network.py
+++ b/scripts/build_tyndp_network.py
@@ -100,15 +100,25 @@ def extract_shape_by_bbox(
 
     Parameters
     ----------
-        - gdf (GeoDataFrame): GeoDataFrame containing country geometries.
-        - country (str): The country code or name to filter.
-        - min_lon, max_lon (float): Longitude bounds for extraction.
-        - min_lat, max_lat (float): Latitude bounds for extraction.
-        - region_id (str): String to assign an ID to the extracted region.
+    gdf : GeoDataFrame
+        GeoDataFrame containing country geometries.
+    country : str
+        The country code or name to filter.
+    min_lon : float
+        Minimum longitude bound for extraction.
+    max_lon : float
+        Maximum longitude bound for extraction.
+    min_lat : float
+        Minimum latitude bound for extraction.
+    max_lat : float
+        Maximum latitude bound for extraction.
+    region_id : str
+        String to assign an ID to the extracted region.
 
     Returns
     -------
-        - gdf_new: Updated GeoDataFrame with the extracted shape separated.
+    GeoDataFrame
+        Updated GeoDataFrame with the extracted shape separated.
     """
     country_gdf = gdf.explode().query(f"country == '{country}'").reset_index(drop=True)
 
@@ -140,33 +150,37 @@ def build_shapes(
 
     Parameters
     ----------
-        - bz_fn (str): Path to bidding zone shape file.
-        - countries (list[str]): List of countries to consider
-        - geo_crs (CRS, optional): Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
-        - distance_crs (CRS, optional): Coordinate reference system to use for distance calculations. Defaults to DISTANCE_CRS.
+    bz_fn : str
+        Path to bidding zone shape file.
+    countries : list[str]
+        List of countries to consider.
+    geo_crs : CRS, optional
+        Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
+    distance_crs : CRS, optional
+        Coordinate reference system to use for distance calculations. Defaults to DISTANCE_CRS.
 
     Returns
     -------
-        - bidding_shapes: A GeoDataFrame including bidding zone geometry, representative point and id.
-        - country_shapes: A GeoDataFrame including country geometry and representative point.
+    tuple
+        A tuple of (bidding_shapes, country_shapes) GeoDataFrames.
     """
     bidding_zones = gpd.read_file(bz_fn)
 
     # Bidding zone shapes
     bidding_shapes = bidding_zones.assign(
         bz_id=lambda df: df["zone_name"].apply(format_bz_names),
-        node=lambda df: df.geometry.to_crs(distance_crs)
-        .representative_point()
-        .to_crs(geo_crs),
+        node=lambda df: (
+            df.geometry.to_crs(distance_crs).representative_point().to_crs(geo_crs)
+        ),
         x=lambda df: df["node"].x,
         y=lambda df: df["node"].y,
     ).set_index("bz_id")
 
     # Country shapes
     country_shapes = bidding_shapes.dissolve(by="country")[["geometry"]].assign(
-        node=lambda df: df.geometry.to_crs(distance_crs)
-        .representative_point()
-        .to_crs(geo_crs),
+        node=lambda df: (
+            df.geometry.to_crs(distance_crs).representative_point().to_crs(geo_crs)
+        ),
         x=lambda df: df["node"].x,
         y=lambda df: df["node"].y,
     )
@@ -208,17 +222,21 @@ def build_buses(
 
     Parameters
     ----------
-        - buses_fn (str): Path to bidding zone shape file.
-        - countries (List[str]): List of countries to consider
-        - bidding_shapes (GeoDataFrame): A GeoDataFrame including bidding zone geometry, representative point and id.
-        - country_shapes (GeoDataFrame): A GeoDataFrame including country geometry and representative point.
-        - geo_crs (CRS, optional): Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
-
+    buses_fn : str
+        Path to bidding zone shape file.
+    countries : list[str]
+        List of countries to consider.
+    bidding_shapes : GeoDataFrame
+        A GeoDataFrame including bidding zone geometry, representative point and id.
+    country_shapes : GeoDataFrame
+        A GeoDataFrame including country geometry and representative point.
+    geo_crs : CRS, optional
+        Coordinate reference system for geographic calculations. Defaults to GEO_CRS.
 
     Returns
     -------
-        - buses: A GeoDataFrame of electrical buses including country and coordinates.
-        - buses_h2: A GeoDataFrame of hydrogen buses including country and coordinates.
+    tuple
+        A tuple of (buses, buses_h2) GeoDataFrames.
     """
     buses = (
         pd.read_excel(buses_fn)
@@ -396,13 +414,15 @@ def build_links(
 
     Parameters
     ----------
-        - grid_fn (str | Path): Path to bidding zone shape file.
-        - buses (gpd.GeoDataFrame): GeoDataFrame of electrical buses including country and coordinates.
+    grid_fn : str | Path
+        Path to bidding zone shape file.
+    buses : GeoDataFrame
+        A GeoDataFrame of electrical buses including country and coordinates.
 
     Returns
     -------
-        - links: A GeoDataFrame including NTC from the reference grid.
-
+    GeoDataFrame
+        A GeoDataFrame including NTC from the reference grid.
     """
     links = pd.read_excel(grid_fn)
     links = extract_grid_data_tyndp(
diff --git a/scripts/clean_osm_data.py b/scripts/clean_osm_data.py
index fce0ce52e6..a404ef0d1c 100644
--- a/scripts/clean_osm_data.py
+++ b/scripts/clean_osm_data.py
@@ -558,7 +558,7 @@ def _import_routes_relation(path_relation):
 
                 df = pd.DataFrame(data["elements"])
                 df["id"] = df["id"].astype(str)
-                df["id"] = df["id"].apply(lambda x: (f"relation/{x}"))
+                df["id"] = df["id"].apply(lambda x: f"relation/{x}")
                 df["country"] = country
 
                 col_tags = [
@@ -1725,10 +1725,12 @@ def _extend_lines_to_substations(gdf_lines, gdf_substations_polygon, tol=BUS_TOL
     gdf = (
         gdf.groupby(["line_id", "voltage_line"])
         .apply(
-            lambda x: x[["bus_id", "geometry_bus"]]
-            .dropna()
-            .set_index("bus_id")["geometry_bus"]
-            .to_dict(),
+            lambda x: (
+                x[["bus_id", "geometry_bus"]]
+                .dropna()
+                .set_index("bus_id")["geometry_bus"]
+                .to_dict()
+            ),
             include_groups=False,
         )
         .reset_index()
diff --git a/scripts/cluster_gas_network.py b/scripts/cluster_gas_network.py
index 05f527101a..ebbab910d5 100755
--- a/scripts/cluster_gas_network.py
+++ b/scripts/cluster_gas_network.py
@@ -63,8 +63,10 @@ def build_clustered_gas_network(df, bus_regions, length_factor=1.25):
 
     # recalculate lengths as center to center * length factor
     df["length"] = df.apply(
-        lambda p: length_factor
-        * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y]),
+        lambda p: (
+            length_factor
+            * haversine_pts([p.point0.x, p.point0.y], [p.point1.x, p.point1.y])
+        ),
         axis=1,
     )
 
diff --git a/scripts/cluster_network.py b/scripts/cluster_network.py
index 30d65facea..385ad02fed 100644
--- a/scripts/cluster_network.py
+++ b/scripts/cluster_network.py
@@ -5,63 +5,50 @@
 
 
 """
-Creates networks clustered to ``{cluster}`` number of zones with aggregated
+Creates networks clustered to `{cluster}` number of zones with aggregated
 buses and transmission corridors.
 
 Outputs
 -------
 
-- ``resources/regions_onshore_base_s_{clusters}.geojson``:
+- `resources/regions_onshore_base_s_{clusters}.geojson`:
 
-    .. image:: img/regions_onshore_base_s_X.png
-        :scale: 33 %
+    ![](img/regions_onshore_base_s_X.png)
 
-- ``resources/regions_offshore_base_s_{clusters}.geojson``:
+- `resources/regions_offshore_base_s_{clusters}.geojson`:
 
-    .. image:: img/regions_offshore_base_s_X.png
-        :scale: 33 %
+    ![](img/regions_offshore_base_s_X.png)
 
-- ``resources/busmap_base_s_{clusters}.csv``: Mapping of buses from ``networks/base.nc`` to ``networks/base_s_{clusters}.nc``;
-- ``resources/linemap_base_s_{clusters}.csv``: Mapping of lines from ``networks/base.nc`` to ``networks/base_s_{clusters}.nc``;
-- ``networks/base_s_{clusters}.nc``:
+- `resources/busmap_base_s_{clusters}.csv`: Mapping of buses from `networks/base.nc` to `networks/base_s_{clusters}.nc`;
+- `resources/linemap_base_s_{clusters}.csv`: Mapping of lines from `networks/base.nc` to `networks/base_s_{clusters}.nc`;
+- `networks/base_s_{clusters}.nc`:
 
-    .. image:: img/base_s_X.png
-        :scale: 40  %
+    ![](img/base_s_X.png)
 
 Description
 -----------
 
-.. note::
-
-    **Is it possible to run the model without the** ``simplify_network`` **rule?**
+**Note:** **Is it possible to run the model without the** `simplify_network` **rule?**
 
         No, the network clustering methods in the PyPSA module
-        `pypsa.clustering.spatial <https://github.com/PyPSA/PyPSA/blob/master/pypsa/clustering/spatial.py>`_
+        [pypsa.clustering.spatial](https://github.com/PyPSA/PyPSA/blob/master/pypsa/clustering/spatial.py)
         do not work reliably with multiple voltage levels and transformers.
 
 Exemplary unsolved network clustered to 512 nodes:
 
-.. image:: img/base_s_512.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_512.png)
 
 Exemplary unsolved network clustered to 256 nodes:
 
-.. image:: img/base_s_256.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_256.png)
 
 Exemplary unsolved network clustered to 128 nodes:
 
-.. image:: img/base_s_128.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_128.png)
 
 Exemplary unsolved network clustered to 37 nodes:
 
-.. image:: img/base_s_37.png
-    :scale: 40  %
-    :align: center
+![](img/base_s_37.png)
 """
 
 import logging
@@ -299,7 +286,7 @@ def distribute_n_clusters_to_countries(
         .sum()
         .pipe(normed)
     )
-
+    L.index.name = "cluster"
     N = n.buses.groupby(["country", "sub_network"]).size()[L.index]
 
     assert n_clusters >= len(N) and n_clusters <= N.sum(), (
@@ -410,17 +397,12 @@ def clustering_for_n_clusters(
     if aggregation_strategies is None:
         aggregation_strategies = dict()
 
-    line_strategies = aggregation_strategies.get("lines", dict())
+    line_strategies = dict(aggregation_strategies.get("lines", {}))
 
-    bus_strategies = aggregation_strategies.get("buses", dict())
+    bus_strategies = dict(aggregation_strategies.get("buses", {}))
     bus_strategies.setdefault("substation_lv", lambda x: bool(x.sum()))
     bus_strategies.setdefault("substation_off", lambda x: bool(x.sum()))
 
-    # TODO Quick Fix for osm-prebuilt-version 0.6
-    for way_i in ["way/140248154", "way/975637991"]:
-        if way_i in n.buses.index:
-            n.buses.loc[way_i, "carrier"] = "AC"
-
     clustering = get_clustering_from_busmap(
         n,
         busmap,
@@ -432,6 +414,54 @@ def clustering_for_n_clusters(
     return clustering
 
 
+def apply_carrier_mixing_policy(
+    n: pypsa.Network, busmap: pd.Series, allow_ac_dc_mixing_in_bus_clusters: bool
+) -> pd.Series:
+    """
+    Handle AC/DC buses before clustering.
+
+    If ``allow_ac_dc_mixing_in_bus_clusters`` is True, mixed AC/DC clusters are
+    kept as-is. If it is False, buses in mixed clusters are split by appending
+    the carrier directly to the cluster label, for example ``clusterAC`` and
+    ``clusterDC``.
+
+    Parameters
+    ----------
+    n : pypsa.Network
+        Network providing bus carrier information.
+    busmap : pandas.Series
+        Mapping from bus name to cluster label.
+    allow_ac_dc_mixing_in_bus_clusters : bool
+        Whether mixed AC/DC clusters are allowed.
+
+    Returns
+    -------
+    pandas.Series
+        Busmap, possibly with carrier suffixes added.
+    """
+    busmap = busmap.astype(str)
+    carrier_by_bus = n.buses.carrier.reindex(busmap.index).astype(str)
+
+    mixed_clusters = carrier_by_bus.groupby(busmap).nunique().loc[lambda s: s > 1].index
+
+    if allow_ac_dc_mixing_in_bus_clusters:
+        if len(mixed_clusters):
+            logger.warning(
+                "`allow_ac_dc_mixing_in_bus_clusters` is enabled. Coercing bus carrier to AC in %s mixed clusters.",
+                len(mixed_clusters),
+            )
+            mixed_bus_i = busmap.index[busmap.isin(mixed_clusters)]
+            n.buses.loc[mixed_bus_i, "carrier"] = "AC"
+        return busmap
+
+    if len(mixed_clusters):
+        logger.info(
+            "Splitting %s mixed AC/DC clusters by carrier before aggregation.",
+            len(mixed_clusters),
+        )
+    return busmap.str.cat(carrier_by_bus, sep="")
+
+
 def cluster_regions(
     busmaps: tuple | list, regions: gpd.GeoDataFrame, with_country: bool = False
 ) -> gpd.GeoDataFrame:
@@ -440,9 +470,12 @@ def cluster_regions(
 
     Parameters
     ----------
-        - busmaps (list) : A list of busmaps used for clustering.
-        - regions (gpd.GeoDataFrame) : The regions to cluster.
-        - with_country (bool) : Whether to keep country column.
+    busmaps : list
+        A list of busmaps used for clustering.
+    regions : gpd.GeoDataFrame
+        The regions to cluster.
+    with_country : bool
+        Whether to keep country column.
 
     Returns
     -------
@@ -466,9 +499,12 @@ def busmap_for_admin_regions(
 
     Parameters
     ----------
-        - n (pypsa.Network) : The network to cluster.
-        - admin_shapes (str) : The path to the administrative regions.
-        - params (dict) : The parameters for clustering.
+    n : pypsa.Network
+        The network to cluster.
+    admin_shapes : str
+        The path to the administrative regions.
+    params : dict
+        The parameters for clustering.
 
     Returns
     -------
@@ -517,7 +553,7 @@ def busmap_for_admin_regions(
             buses_subset.to_crs(epsg=3857),
             admin_regions.loc[admin_regions["country"] == country].to_crs(epsg=3857),
             how="left",
-        )["admin"]
+        )["admin"].astype(str)
 
     return buses["busmap"]
 
@@ -528,7 +564,8 @@ def keep_largest_polygon(geometry: MultiPolygon) -> Polygon:
 
     Parameters
     ----------
-        geometry (MultiPolygon) : The MultiPolygon to check.
+    geometry : MultiPolygon
+        The MultiPolygon to check.
 
     Returns
     -------
@@ -558,12 +595,18 @@ def update_bus_coordinates(
 
     Parameters
     ----------
-        - n (pypsa.Network) : The original network.
-        - busmap (pd.Series) : The busmap mapping each bus to an administrative region.
-        - admin_shapes (str) : The path to the administrative regions.
-        - geo_crs (str) : The geographic coordinate reference system.
-        - distance_crs (str) : The distance coordinate reference system.
-        - tol (float) : The tolerance in meters for the PoI calculation.
+    n : pypsa.Network
+        The original network.
+    busmap : pd.Series
+        The busmap mapping each bus to an administrative region.
+    admin_shapes : str
+        The path to the administrative regions.
+    geo_crs : str
+        The geographic coordinate reference system.
+    distance_crs : str
+        The distance coordinate reference system.
+    tol : float
+        The tolerance in meters for the PoI calculation.
 
     Returns
     -------
@@ -587,10 +630,25 @@ def update_bus_coordinates(
     admin_regions["y"] = admin_regions["poi"].y
 
     busmap_df = pd.DataFrame(busmap)
+
+    # Determine admin for each bus via spatial join of bus coordinates
+    # to the administrative polygons
+    buses_gdf = gpd.GeoDataFrame(
+        n.buses[["x", "y"]].copy(),
+        geometry=gpd.points_from_xy(n.buses["x"], n.buses["y"]),
+        crs=geo_crs,
+    )
+
+    # Find nearest admin region for each bus
+    admin_geo = admin_regions.copy()
+    admin_geo["admin_id"] = admin_geo.index
+    joined = gpd.sjoin_nearest(buses_gdf, admin_geo, how="left")
+    busmap_df["admin"] = joined["admin_id"].astype(str).reindex(busmap_df.index)
+
     busmap_df = pd.merge(
         busmap_df,
         admin_regions[["x", "y"]],
-        left_on="busmap",
+        left_on="admin",
         right_index=True,
         how="left",
     )
@@ -604,7 +662,7 @@ def update_bus_coordinates(
     if "snakemake" not in globals():
         from scripts._helpers import mock_snakemake
 
-        snakemake = mock_snakemake("cluster_network", clusters=60)
+        snakemake = mock_snakemake("cluster_network", clusters=50)
     configure_logging(snakemake)
     set_scenario_config(snakemake)
 
@@ -692,6 +750,14 @@ def update_bus_coordinates(
                 features=features,
             )
 
+        allow_ac_dc_mixing_in_bus_clusters = params.cluster_network[
+            "allow_ac_dc_mixing_in_bus_clusters"
+        ]
+
+        busmap = apply_carrier_mixing_policy(
+            n, busmap, allow_ac_dc_mixing_in_bus_clusters
+        )
+
         clustering = clustering_for_n_clusters(
             n,
             busmap,
diff --git a/scripts/determine_availability_matrix.py b/scripts/determine_availability_matrix.py
index 3b3262c5de..f971c2d601 100644
--- a/scripts/determine_availability_matrix.py
+++ b/scripts/determine_availability_matrix.py
@@ -4,7 +4,7 @@
 """
 The script performs a land eligibility analysis of what share of land is
 availability for developing the selected technology at each cutout grid cell.
-The script uses the `atlite <https://github.com/pypsa/atlite>`_ library and
+The script uses the [atlite](https://github.com/pypsa/atlite) library and
 several GIS datasets like the CORINE land use data, LUISA land use data,
 Natura2000 nature reserves, GEBCO bathymetry data, and shipping lanes.
 
@@ -12,46 +12,38 @@
 Inputs
 ------
 
-- ``data/bundle/corine/g250_clc06_V18_5.tif``: `CORINE Land Cover (CLC)
-  <https://land.copernicus.eu/pan-european/corine-land-cover>`_ inventory on `44
-  classes <https://wiki.openstreetmap.org/wiki/Corine_Land_Cover#Tagging>`_ of
+- `data/bundle/corine/g250_clc06_V18_5.tif`: [CORINE Land Cover (CLC)](https://land.copernicus.eu/pan-european/corine-land-cover) inventory on [44
+  classes](https://wiki.openstreetmap.org/wiki/Corine_Land_Cover#Tagging) of
   land use (e.g. forests, arable land, industrial, urban areas) at 100m
   resolution.
 
-    .. image:: img/corine.png
-        :scale: 33 %
+    ![](img/corine.png)
 
-- ``data/LUISA_basemap_020321_50m.tif``: `LUISA Base Map
-  <https://publications.jrc.ec.europa.eu/repository/handle/JRC124621>`_ land
+- `data/LUISA_basemap_020321_50m.tif`: [LUISA Base Map](https://publications.jrc.ec.europa.eu/repository/handle/JRC124621) land
   coverage dataset at 50m resolution similar to CORINE. For codes in relation to
-  CORINE land cover, see `Annex 1 of the technical documentation
-  <https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf>`_.
-
-- ``data/bundle/gebco/GEBCO_2014_2D.nc``: A `bathymetric
-  <https://en.wikipedia.org/wiki/Bathymetry>`_ data set with a global terrain
-  model for ocean and land at 15 arc-second intervals by the `General
-  Bathymetric Chart of the Oceans (GEBCO)
-  <https://www.gebco.net/data_and_products/gridded_bathymetry_data/>`_.
-
-    .. image:: img/gebco_2019_grid_image.jpg
-        :scale: 50 %
-
-    **Source:** `GEBCO
-    <https://www.gebco.net/data_and_products/images/gebco_2019_grid_image.jpg>`_
-
-- ``resources/natura.tiff``: confer :ref:`natura`
-- ``resources/offshore_shapes.geojson``: confer :ref:`shapes`
-- ``resources/regions_onshore_base_s_{clusters}.geojson``: (if not offshore
-  wind), confer :ref:`busregions`
-- ``resources/regions_offshore_base_s_{clusters}.geojson``: (if offshore wind),
-  :ref:`busregions`
-- ``"cutouts/" + params["renewable"][{technology}]['cutout']``: :ref:`cutout`
-- ``networks/_base_s_{clusters}.nc``: :ref:`base`
+  CORINE land cover, see [Annex 1 of the technical documentation](https://publications.jrc.ec.europa.eu/repository/bitstream/JRC124621/technical_report_luisa_basemap_2018_v7_final.pdf).
+
+- `data/bundle/gebco/GEBCO_2014_2D.nc`: A [bathymetric](https://en.wikipedia.org/wiki/Bathymetry) data set with a global terrain
+  model for ocean and land at 15 arc-second intervals by the [General
+  Bathymetric Chart of the Oceans (GEBCO)](https://www.gebco.net/data_and_products/gridded_bathymetry_data/).
+
+    ![](img/gebco_2019_grid_image.jpg)
+
+    **Source:** [GEBCO](https://www.gebco.net/data_and_products/images/gebco_2019_grid_image.jpg)
+
+- `resources/natura.tiff`: confer natura
+- `resources/offshore_shapes.geojson`: confer shapes
+- `resources/regions_onshore_base_s_{clusters}.geojson`: (if not offshore
+  wind), confer busregions
+- `resources/regions_offshore_base_s_{clusters}.geojson`: (if offshore wind),
+  busregions
+- `"cutouts/" + params["renewable"][{technology}]['cutout']`: cutout
+- `networks/_base_s_{clusters}.nc`: base
 
 Outputs
 -------
 
-- ``resources/availability_matrix_{clusters_{technology}.nc``
+- `resources/availability_matrix_{clusters_{technology}.nc`
 """
 
 import functools
@@ -60,8 +52,11 @@
 
 import atlite
 import geopandas as gpd
+import matplotlib.pyplot as plt
 import numpy as np
 import xarray as xr
+from atlite.gis import shape_availability
+from rasterio.plot import show
 
 from scripts._helpers import configure_logging, load_cutout, set_scenario_config
 
@@ -73,7 +68,7 @@
         from scripts._helpers import mock_snakemake
 
         snakemake = mock_snakemake(
-            "build_renewable_profiles", clusters=100, technology="onwind"
+            "determine_availability_matrix", clusters="adm", technology="offwind-dc"
         )
     configure_logging(snakemake)
     set_scenario_config(snakemake)
@@ -166,6 +161,16 @@
         f"Completed landuse availability calculation for {technology} ({duration:2.2f}s)"
     )
 
+    if snakemake.params.plot_availability_matrix:
+        logger.info(f"Plotting landuse availability matrix for {technology}.")
+        band, transform = shape_availability(
+            regions.geometry.to_crs(excluder.crs), excluder
+        )
+        fig, ax = plt.subplots(figsize=(10, 10))
+        regions.to_crs(excluder.crs).plot(ax=ax, color="none")
+        show(band, transform=transform, cmap="Greens", ax=ax)
+        plt.savefig(snakemake.output["plot"], dpi=300)
+
     # For Moldova and Ukraine: Overwrite parts not covered by Corine with
     # externally determined available areas
     if "availability_matrix_MD_UA" in snakemake.input.keys():
@@ -174,4 +179,4 @@
         )
         availability.loc[availability_MDUA.coords] = availability_MDUA
 
-    availability.to_netcdf(snakemake.output[0])
+    availability.to_netcdf(snakemake.output["nc"])
diff --git a/scripts/determine_availability_matrix_MD_UA.py b/scripts/determine_availability_matrix_MD_UA.py
index 27a091db60..0352c3d27b 100644
--- a/scripts/determine_availability_matrix_MD_UA.py
+++ b/scripts/determine_availability_matrix_MD_UA.py
@@ -14,7 +14,10 @@
 import atlite
 import fiona
 import geopandas as gpd
+import matplotlib.pyplot as plt
 import numpy as np
+from atlite.gis import shape_availability
+from rasterio.plot import show
 
 from scripts._helpers import configure_logging, load_cutout, set_scenario_config
 
@@ -168,5 +171,17 @@ def get_wdpa_layer_name(wdpa_fn, layer_substring):
 
     availability = availability.sel(bus=buses)
 
+    if snakemake.params.plot_availability_matrix:
+        logger.info(
+            f"Plotting landuse availability matrix for {snakemake.wildcards.technology}."
+        )
+        band, transform = shape_availability(
+            regions.geometry.to_crs(excluder.crs), excluder
+        )
+        fig, ax = plt.subplots(figsize=(10, 10))
+        regions.to_crs(excluder.crs).plot(ax=ax, color="none")
+        show(band, transform=transform, cmap="Greens", ax=ax)
+        plt.savefig(snakemake.output["plot"], dpi=300)
+
     # Save and plot for verification
-    availability.to_netcdf(snakemake.output.availability_matrix)
+    availability.to_netcdf(snakemake.output["nc"])
diff --git a/scripts/lib/validation/config/__init__.py b/scripts/lib/validation/config/__init__.py
index f0b91ddb07..ca011c54d7 100644
--- a/scripts/lib/validation/config/__init__.py
+++ b/scripts/lib/validation/config/__init__.py
@@ -24,13 +24,17 @@ def validate_config(config: dict) -> ConfigSchema:
     """Validate config dict against schema."""
     config_schema = ConfigSchema
     name = config_schema._name.default
+    docs_url = config_schema._docs_url.default
     for item in _registry:
         updater_config = item(config_schema)
         config_schema = updater_config.update()
+        if updater_config.docs_url is not None:
+            docs_url = updater_config.docs_url
         if updater_config.name:
             name += f".{updater_config.name}"
     validated_config = config_schema(**config)
     validated_config._name = name
+    validated_config._docs_url = docs_url
     return validated_config
 
 
@@ -78,7 +82,7 @@ def str_representer(dumper, data):
         data[key] = value
 
         field_name = convert_to_field_name(key)
-        docs_url = f"https://open-tyndp.readthedocs.io/en/latest/configuration.html#{field_name}"
+        docs_url = config._docs_url.format(field_name=field_name)
         data.yaml_set_comment_before_after_key(key, before=f"\ndocs in {docs_url}")
 
     # Write to file
diff --git a/scripts/lib/validation/config/_base.py b/scripts/lib/validation/config/_base.py
index fcdad15207..20b3bff94b 100644
--- a/scripts/lib/validation/config/_base.py
+++ b/scripts/lib/validation/config/_base.py
@@ -66,6 +66,18 @@ def name(self) -> str:
         `config.default.<prior-update-names>.{self.name}.<post-update-names>.yaml`
         """
 
+    @property
+    @abstractmethod
+    def docs_url(self) -> str | None:
+        """
+        Docs URL for custom config.
+        If not None, this URL will be used in the generated config file to link to documentation for each top-level key in the custom config.
+
+        You can use `{field_name}` as a formatting placeholder in the URL, which will be replaced with the actual field name for each key, e.g.:
+
+        `https://pypsa-eur.readthedocs.io/en/latest/configuration.html#{field_name}`
+        """
+
     @abstractmethod
     def update(self) -> type["ConfigSchema"]:
         """Function in which the custom config schema is created and returned."""
diff --git a/scripts/lib/validation/config/_schema.py b/scripts/lib/validation/config/_schema.py
index 20994b3cfb..993fb9f87d 100644
--- a/scripts/lib/validation/config/_schema.py
+++ b/scripts/lib/validation/config/_schema.py
@@ -97,6 +97,9 @@ class ConfigSchema(BaseModel):
 
     _name: str = "default"
     """internal attribute to track the config filename following the application of config updates"""
+    _docs_url: str = (
+        "https://open-tyndp.readthedocs.io/en/latest/configuration.html#{field_name}"
+    )
 
     # Top-level fields (from TopLevelConfig)
     version: str = Field(
diff --git a/scripts/lib/validation/config/atlite.py b/scripts/lib/validation/config/atlite.py
index 034ed09378..29d1856948 100644
--- a/scripts/lib/validation/config/atlite.py
+++ b/scripts/lib/validation/config/atlite.py
@@ -115,13 +115,17 @@ class AtliteConfig(BaseModel):
         description="Defines a default cutout. Can refer to a single cutout or a list of cutouts.",
     )
     nprocesses: int = Field(
-        16,
+        1,
         description="Number of parallel processes in cutout preparation.",
     )
     show_progress: bool = Field(
         False,
         description="Whether progressbar for atlite conversion processes should be shown. False saves time.",
     )
+    plot_availability_matrix: bool = Field(
+        False,
+        description="Whether to plot the landuse availability matrix. Warning: This requires a significant amount of memory and time and may crash for larger workflows. Use with caution.",
+    )
     cutouts: dict[str, _CutoutConfig] = Field(
         default_factory=lambda: {
             "europe-1940-2024-era5": _CutoutConfig(
diff --git a/scripts/lib/validation/config/clustering.py b/scripts/lib/validation/config/clustering.py
index 2a3f0cbf81..9fbde2ebd7 100644
--- a/scripts/lib/validation/config/clustering.py
+++ b/scripts/lib/validation/config/clustering.py
@@ -49,10 +49,6 @@ class _SimplifyNetworkConfig(BaseModel):
         False,
         description="Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones.",
     )
-    exclude_carriers: list[str] = Field(
-        default_factory=list,
-        description="List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
-    )
     remove_stubs: bool = Field(
         True,
         description="Controls whether radial parts of the network should be recursively aggregated. Defaults to true.",
@@ -70,6 +66,10 @@ class _ClusterNetworkConfig(BaseModel):
         "kmeans",
         description="Clustering algorithm to use.",
     )
+    allow_ac_dc_mixing_in_bus_clusters: bool = Field(
+        False,
+        description="Controls whether clustering is allowed to mix AC and DC buses within a bus cluster. If true, mixed clusters are coerced to AC before aggregation. If false, mixed clusters are kept separate.",
+    )
     hac_features: list[str] = Field(
         default_factory=lambda: ["wnd100m", "influx_direct"],
         description="List of meteorological variables contained in the weather data cutout that should be considered for hierarchical clustering.",
@@ -143,9 +143,9 @@ class ClusteringConfig(BaseModel):
         default_factory=list,
         description="List of carriers which will not be aggregated. If empty, all carriers will be aggregated.",
     )
-    consider_efficiency_classes: bool = Field(
+    consider_efficiency_classes: bool | list[float] = Field(
         False,
-        description="Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).",
+        description="Aggregate each carrier into efficiency classes defined by quantile boundaries. If True, uses [0.1, 0.9] as default quantiles (labels: Q0, Q10, Q90). If a list of floats, defines custom quantile boundaries, e.g. [0.1, 0.5, 0.9].",
     )
     aggregation_strategies: _AggregationStrategiesConfig = Field(
         default_factory=_AggregationStrategiesConfig,
diff --git a/scripts/lib/validation/config/data.py b/scripts/lib/validation/config/data.py
index 50a65ff9ca..83995025e2 100644
--- a/scripts/lib/validation/config/data.py
+++ b/scripts/lib/validation/config/data.py
@@ -248,6 +248,18 @@ class DataConfig(BaseModel):
         default_factory=_DataSourceConfig,
         description="JRC ARDECO data source configuration.",
     )
+    jrc_energy_atlas: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="JRC Energy Atlas data source configuration.",
+    )
+    desnz_electricity_consumption: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="DESNZ (UK Department for Energy Security and Net Zero) electricity consumption data source configuration.",
+    )
+    ons_lad: _DataSourceConfig = Field(
+        default_factory=_DataSourceConfig,
+        description="ONS (Office for National Statistics) Local Authority District data source configuration.",
+    )
     bidding_zones_electricitymaps: _DataSourceConfig = Field(
         default_factory=_DataSourceConfig,
         description="Electricitymaps bidding zones data source configuration.",
diff --git a/scripts/lib/validation/config/electricity.py b/scripts/lib/validation/config/electricity.py
index 367b75ae8c..a7a21750c5 100644
--- a/scripts/lib/validation/config/electricity.py
+++ b/scripts/lib/validation/config/electricity.py
@@ -448,6 +448,10 @@ class ElectricityConfig(BaseModel):
         default_factory=_EstimateRenewableCapacitiesConfig,
         description="Configuration for estimating renewable capacities.",
     )
+    estimate_battery_capacities: bool = Field(
+        False,
+        description="Enable estimation of existing battery storage capacities.",
+    )
     autarky: _AutarkyConfig = Field(
         default_factory=_AutarkyConfig,
         description="Autarky configuration.",
diff --git a/scripts/lib/validation/config/existing_capacities.py b/scripts/lib/validation/config/existing_capacities.py
index 07937047fc..d8240e0338 100644
--- a/scripts/lib/validation/config/existing_capacities.py
+++ b/scripts/lib/validation/config/existing_capacities.py
@@ -62,6 +62,10 @@ class ExistingCapacitiesConfig(ConfigModel):
         20,
         description="Default lifetime for heating technologies (years).",
     )
+    solar_rooftop_ratio: float = Field(
+        0.5,
+        description="Ratio of existing solar capacity to assign to rooftop vs utility-scale (between 0 and 1).",
+    )
     conventional_carriers: list[str] = Field(
         default_factory=lambda: ["lignite", "coal", "oil", "uranium"],
         description="List of conventional power plants to include in the sectoral network.",
diff --git a/scripts/lib/validation/config/industry.py b/scripts/lib/validation/config/industry.py
index 7c5354790c..edd34eabee 100644
--- a/scripts/lib/validation/config/industry.py
+++ b/scripts/lib/validation/config/industry.py
@@ -202,7 +202,7 @@ class IndustryConfig(ConfigModel):
         description="Locate industrial sites without valid locations based on city and countries.",
     )
     reference_year: int = Field(
-        2019,
+        2023,
         description="The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_.",
     )
     oil_refining_emissions: float = Field(
diff --git a/scripts/lib/validation/config/load.py b/scripts/lib/validation/config/load.py
index 1dc648f96f..0afb78c48c 100644
--- a/scripts/lib/validation/config/load.py
+++ b/scripts/lib/validation/config/load.py
@@ -77,6 +77,10 @@ class LoadConfig(BaseModel):
         True,
         description="Whether to supplement missing data for selected time period should be supplemented by synthetic data from `Zenodo <https://zenodo.org/records/10820928>`_.",
     )
+    substation_only: bool = Field(
+        True,
+        description="Whether to only consider substations for the spatial disaggregation of the per-country electricity demand data.",
+    )
     distribution_key: _DistributionKeyConfig = Field(
         default_factory=_DistributionKeyConfig,
         description="Distribution key for spatially disaggregating the per-country electricity demand data.",
diff --git a/scripts/lib/validation/config/renewable.py b/scripts/lib/validation/config/renewable.py
index 1dc6bb5204..470d97282f 100644
--- a/scripts/lib/validation/config/renewable.py
+++ b/scripts/lib/validation/config/renewable.py
@@ -152,7 +152,7 @@ class _OffwindConfig(BaseModel):
         0.8855, description="Correction factor for capacity factor time series."
     )
     corine: bool | list[int] = Field(
-        default_factory=lambda: [44, 255],
+        default=False,
         description="Specifies areas according to CORINE Land Cover codes which are generally eligible for AC-connected offshore wind turbine placement.",
     )
     luisa: bool | list[int] = Field(
diff --git a/scripts/lib/validation/config/sector.py b/scripts/lib/validation/config/sector.py
index 288c3062c2..03607fa2a7 100644
--- a/scripts/lib/validation/config/sector.py
+++ b/scripts/lib/validation/config/sector.py
@@ -232,6 +232,7 @@ class _TransmissionEfficiencyConfig(BaseModel):
         default_factory=lambda: [
             "DC",
             "H2 pipeline",
+            "H2 pipeline retrofitted",
             "gas pipeline",
             "electricity distribution grid",
         ],
@@ -252,6 +253,14 @@ class _TransmissionEfficiencyConfig(BaseModel):
         alias="H2 pipeline",
         description="H2 pipeline transmission efficiency.",
     )
+    H2_pipeline_retrofitted: dict[str, float] = Field(
+        default_factory=lambda: {
+            "efficiency_per_1000km": 1,
+            "compression_per_1000km": 0.018,
+        },
+        alias="H2 pipeline retrofitted",
+        description="H2 pipeline retrofitted transmission efficiency.",
+    )
     gas_pipeline: dict[str, float] = Field(
         default_factory=lambda: {
             "efficiency_per_1000km": 1,
diff --git a/scripts/lib/validation/config/solving.py b/scripts/lib/validation/config/solving.py
index 3c003cee01..439d01b857 100644
--- a/scripts/lib/validation/config/solving.py
+++ b/scripts/lib/validation/config/solving.py
@@ -57,28 +57,28 @@ class _LoadSheddingConfig(ConfigModel):
 
     enable: bool = Field(
         False,
-        description="Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+        description="Enable load shedding by adding high-cost generators to avoid infeasibilities. Requires either all_carriers: true or at least one entry in carriers.",
     )
-    default_price: PositiveFloat = Field(
+    default_cost: PositiveFloat = Field(
         100000,
-        description="The default price for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+        description="The default cost for load-shedding in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
     )
-    apply_to_all_carriers: bool = Field(
+    all_carriers: bool = Field(
         True,
         description="Switch to apply load shedding to all carriers. Otherwise, load shedding will be applied to listed carriers only.",
     )
     carriers: dict[str, PositiveFloat] = Field(
         {},
-        description="Dictionary of carriers and their specific load shedding price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default price is assumed for non-listed carriers.",
+        description="Dictionary of carriers and their specific load shedding cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load shedding is enabled for all carriers, the default cost is assumed for non-listed carriers.",
     )
 
     @model_validator(mode="after")
     def check_enabled_has_targets(self):
-        if self.enable and not self.carriers and not self.apply_to_all_carriers:
+        if self.enable and not self.carriers and not self.all_carriers:
             raise ValueError(
                 "Load shedding is enabled but no carriers are specified and "
-                "'apply_to_all_carriers' is False. Either specify carriers or "
-                "set 'apply_to_all_carriers' to True."
+                "'all_carriers' is False. Either specify carriers or "
+                "set 'all_carriers' to True."
             )
         return self
 
@@ -88,28 +88,28 @@ class _LoadSinksConfig(ConfigModel):
 
     enable: bool = Field(
         False,
-        description="Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either apply_to_all_carriers: true or at least one entry in carriers.",
+        description="Add load sinks by adding negative-cost, energy consuming generators to avoid infeasibilities by absorbing excess energy. Requires either all_carriers: true or at least one entry in carriers.",
     )
-    default_price: PositiveFloat = Field(
+    default_cost: PositiveFloat = Field(
         100000,
-        description="The default price for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
+        description="The default cost for load sinks in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). Must be positive.",
     )
-    apply_to_all_carriers: bool = Field(
+    all_carriers: bool = Field(
         False,
         description="Switch to add load sinks for all carriers. Otherwise, load sinks will be added for listed carriers only.",
     )
     carriers: dict[str, PositiveFloat] = Field(
         {},
-        description="Dictionary of carriers and their specific load sink price in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default price is assumed for non-listed carriers.",
+        description="Dictionary of carriers and their specific load sink cost in the unit of the bus carrier (e.g. EUR/MWh for electricity, EUR/t_CO2 for CO2). If load sinks are added for all carriers, the default cost is assumed for non-listed carriers.",
     )
 
     @model_validator(mode="after")
     def check_enabled_has_targets(self):
-        if self.enable and not self.carriers and not self.apply_to_all_carriers:
+        if self.enable and not self.carriers and not self.all_carriers:
             raise ValueError(
                 "Load sinks are enabled but no carriers are specified and "
-                "'apply_to_all_carriers' is False. Either specify carriers or "
-                "set 'apply_to_all_carriers' to True."
+                "'all_carriers' is False. Either specify carriers or "
+                "set 'all_carriers' to True."
             )
         return self
 
@@ -188,6 +188,10 @@ class _SolvingOptionsConfig(BaseModel):
         365,
         description="Number of snapshots to consider in each iteration. Defaults to 100.",
     )
+    overlap: int = Field(
+        0,
+        description="Number of overlapping snapshots between consecutive iterations in rolling horizon optimization. Defaults to 0, which means no overlap.",
+    )
     post_discretization: _PostDiscretizationConfig = Field(
         default_factory=_PostDiscretizationConfig,
         description="Post-discretization settings.",
@@ -355,6 +359,7 @@ class SolvingConfig(BaseModel):
                 "AggFill": 0,
                 "PreDual": 0,
                 "GURO_PAR_BARDENSETHRESH": 200,
+                "IISMethod": 1,
             },
             "gurobi-simplex": {
                 "threads": 32,
diff --git a/scripts/make_network_comparison.py b/scripts/make_network_comparison.py
index 846e06fa8a..fc3cda97f6 100644
--- a/scripts/make_network_comparison.py
+++ b/scripts/make_network_comparison.py
@@ -219,9 +219,11 @@ def to_long_format(metric: str) -> pd.DataFrame:
                 value_name="length",
             )
             .assign(
-                parameter=lambda df: df["parameter"]
-                .str.replace(col_prefix, "", regex=False)
-                .map(label_map)
+                parameter=lambda df: (
+                    df["parameter"]
+                    .str.replace(col_prefix, "", regex=False)
+                    .map(label_map)
+                )
             )
         )
 
diff --git a/scripts/plot_heat_source_map.py b/scripts/plot_heat_source_map.py
index aeffd5a921..1b724820c9 100644
--- a/scripts/plot_heat_source_map.py
+++ b/scripts/plot_heat_source_map.py
@@ -20,12 +20,12 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    plotting:
-        heat_source_map:
-            temperature_cmap: "Reds"  # Colormap for temperature data
-            energy_cmap: "Oranges"    # Colormap for energy data
+```yaml
+plotting:
+    heat_source_map:
+        temperature_cmap: "Reds"  # Colormap for temperature data
+        energy_cmap: "Oranges"    # Colormap for energy data
+```
 
 Inputs
 ------
diff --git a/scripts/plot_hydrogen_network.py b/scripts/plot_hydrogen_network.py
index 135d4a6fb3..fb74cbfd29 100644
--- a/scripts/plot_hydrogen_network.py
+++ b/scripts/plot_hydrogen_network.py
@@ -38,7 +38,9 @@ def group_pipes(df, drop_direction=False):
     # there are pipes for each investment period rename to AC buses name for plotting
     df["index_orig"] = df.index
     df.index = df.apply(
-        lambda x: f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}",
+        lambda x: (
+            f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}"
+        ),
         axis=1,
     )
     return df.groupby(level=0).agg(
@@ -115,7 +117,9 @@ def plot_h2_map(n, regions, map_fn):
 
             h2_retro["index_orig"] = h2_retro.index
             h2_retro.index = h2_retro.apply(
-                lambda x: f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}",
+                lambda x: (
+                    f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}"
+                ),
                 axis=1,
             )
 
diff --git a/scripts/plot_interactive_bus_balance.py b/scripts/plot_interactive_bus_balance.py
index b1c70e417a..10d282fa14 100644
--- a/scripts/plot_interactive_bus_balance.py
+++ b/scripts/plot_interactive_bus_balance.py
@@ -16,12 +16,12 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    plotting:
-        tech_colors: # Color mapping for different technologies/carriers
-        balance_timeseries:
-            bus_name_pattern: # Pattern to filter buses (e.g., 'DE*' for German buses)
+```yaml
+plotting:
+    tech_colors: # Color mapping for different technologies/carriers
+    balance_timeseries:
+        bus_name_pattern: # Pattern to filter buses (e.g., 'DE*' for German buses)
+```
 
 Inputs
 ------
diff --git a/scripts/plot_summary.py b/scripts/plot_summary.py
index 568e51972c..8cda4a6f02 100644
--- a/scripts/plot_summary.py
+++ b/scripts/plot_summary.py
@@ -270,7 +270,7 @@ def plot_balances():
         )
 
         fig.savefig(
-            snakemake.output.balances[:-10] + bus_carrier + ".svg", bbox_inches="tight"
+            snakemake.output.balances[:-10] + bus_carrier + ".pdf", bbox_inches="tight"
         )
         plt.close(fig)
 
@@ -482,7 +482,7 @@ def plot_carbon_budget_distribution(input_eurostat, options):
     )
 
     plt.grid(axis="y")
-    path = snakemake.output.balances.split("balances")[0] + "carbon_budget.svg"
+    path = snakemake.output.balances.split("balances")[0] + "carbon_budget.pdf"
     plt.savefig(path, bbox_inches="tight")
     plt.close()
 
diff --git a/scripts/prepare_network.py b/scripts/prepare_network.py
index 7cf0e98f69..63e52a0927 100755
--- a/scripts/prepare_network.py
+++ b/scripts/prepare_network.py
@@ -4,7 +4,7 @@
 
 
 """
-Prepare PyPSA network for solving according to :ref:`opts`, such
+Prepare PyPSA network for solving according to opts, such
 as.
 
 - adding an annual **limit** of carbon-dioxide emissions,
@@ -13,15 +13,15 @@
 - specifying an expansion limit on the **cost** of transmission expansion,
 - specifying an expansion limit on the **volume** of transmission expansion, and
 - reducing the **temporal** resolution by averaging over multiple hours
-  or segmenting time series into chunks of varying lengths using ``tsam``.
+  or segmenting time series into chunks of varying lengths using `tsam`.
 
 Description
 -----------
 
-.. tip::
-    The rule :mod:`prepare_elec_networks` runs
-    for all ``scenario`` s in the configuration file
-    the rule :mod:`prepare_network`.
+!!! tip
+    The rule `prepare_elec_networks` runs
+    for all `scenario` s in the configuration file
+    the rule [prepare_network][].
 """
 
 import logging
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 8a9ed5f550..9cfc952324 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -104,7 +104,7 @@ def attach_tyndp_transmission_projects(
             projects = pd.concat([projects, new_projects])
 
     links = n.links[n.links.carrier == "DC"].index
-    new_links = projects.loc[list(set(projects.index) - set(links))]
+    new_links = projects.loc[sorted(set(projects.index) - set(links))]
     n.links.loc[links, "p_nom"] += projects.reindex(links, fill_value=0).p_nom
 
     if not new_links.empty:
@@ -557,7 +557,9 @@ def create_network_topology(
     if not bidirectional:
         topo_reverse = topo.copy()
         topo_reverse.rename(columns=swap_buses, inplace=True)
-        topo_reverse.index = topo_reverse.apply(make_index, axis=1)
+        topo_reverse.index = topo_reverse.apply(
+            make_index, axis=1, prefix=prefix, connector=connector
+        )
         topo = pd.concat([topo, topo_reverse])
 
     return topo
@@ -902,16 +904,15 @@ def add_co2_tracking(
         'CO2 storage tank' with 'capital_cost' column
     options : dict
         Configuration options containing at least:
-        - regional_co2_sequestration_potential: dict with keys
-            - enable: bool
-            - max_size: float
-            - years_of_storage: float
+        - regional_co2_sequestration_potential : dict
+            Dict with keys ``enable`` (bool), ``max_size`` (float),
+            ``years_of_storage`` (float).
         - co2_sequestration_cost: float
         - co2_sequestration_lifetime: float
         - co2_vent: bool
     sequestration_potential_file : str, optional
         Path to CSV file containing regional CO2 sequestration potentials.
-        Required if options['regional_co2_sequestration_potential']['enable'] is True.
+        Required if ``options["regional_co2_sequestration_potential"]["enable"]`` is True.
     co2_price : float, optional
         CO2 price that needs to be paid for emitting into the atmosphere and which is
         gained by removing from the atmosphere.
@@ -1264,7 +1265,8 @@ def add_methanol_to_power(n, costs, pop_layout, types=None):
             carrier="CCGT methanol",
             p_nom_extendable=True,
             capital_cost=capital_cost,
-            marginal_cost=costs.at["CCGT", "VOM"],
+            marginal_cost=costs.at["CCGT", "VOM"]
+            * costs.at["CCGT", "efficiency"],  # NB: VOM is per MWel
             efficiency=costs.at["CCGT", "efficiency"],
             efficiency2=costs.at["methanolisation", "carbondioxide-input"],
             lifetime=costs.at["CCGT", "lifetime"],
@@ -1297,7 +1299,8 @@ def add_methanol_to_power(n, costs, pop_layout, types=None):
             carrier="CCGT methanol CC",
             p_nom_extendable=True,
             capital_cost=capital_cost_cc,
-            marginal_cost=costs.at["CCGT", "VOM"],
+            marginal_cost=costs.at["CCGT", "VOM"]
+            * costs.at["CCGT", "efficiency"],  # NB: VOM is per MWel
             efficiency=costs.at["CCGT", "efficiency"],
             efficiency2=costs.at["cement capture", "capture_rate"]
             * costs.at["methanolisation", "carbondioxide-input"],
@@ -6014,8 +6017,20 @@ def add_heat(
         Path to NetCDF file containing direct heat source utilisation profiles
     hourly_heat_demand_total_file : str
         Path to CSV file containing hourly heat demand data
-    ptes_supplemental_heating_required_file: str
-        Path to CSV file indicating when supplemental heating for thermal energy storage (TES) is needed
+    ptes_e_max_pu_file : str
+        Path to CSV file containing pit thermal energy storage max energy per unit profiles.
+    ptes_direct_utilisation_profile : str
+        Path to file containing pit thermal energy storage direct utilisation profiles.
+    ates_e_nom_max : str
+        Path to file containing aquifer thermal energy storage nominal max energy.
+    ates_capex_as_fraction_of_geothermal_heat_source : float
+        ATES capital cost as fraction of geothermal heat source cost.
+    ates_recovery_factor : float
+        ATES recovery factor.
+    enable_ates : bool
+        Whether to enable aquifer thermal energy storage.
+    ates_marginal_cost_charger : float
+        Marginal cost for ATES charger.
     district_heat_share_file : str
         Path to CSV file containing district heating share information
     solar_thermal_total_file : str
@@ -6701,7 +6716,8 @@ def add_heat(
                     p_nom_extendable=True,
                     capital_cost=costs.at["central gas CHP", "capital_cost"]
                     * costs.at["central gas CHP", "efficiency"],
-                    marginal_cost=costs.at["central gas CHP", "VOM"],
+                    marginal_cost=costs.at["central gas CHP", "VOM"]
+                    * costs.at["central gas CHP", "efficiency"],  # NB: VOM is per MWel
                     efficiency=costs.at["central gas CHP", "efficiency"],
                     efficiency2=costs.at["central gas CHP", "efficiency"]
                     / costs.at["central gas CHP", "c_b"],
@@ -6723,7 +6739,8 @@ def add_heat(
                     * costs.at["central gas CHP", "efficiency"]
                     + costs.at["biomass CHP capture", "capital_cost"]
                     * costs.at[fuel, "CO2 intensity"],
-                    marginal_cost=costs.at["central gas CHP", "VOM"],
+                    marginal_cost=costs.at["central gas CHP", "VOM"]
+                    * costs.at["central gas CHP", "efficiency"],  # NB: VOM is per MWel
                     efficiency=costs.at["central gas CHP", "efficiency"]
                     - costs.at[fuel, "CO2 intensity"]
                     * (
@@ -7312,7 +7329,8 @@ def add_biomass(
             carrier="biogas to gas",
             capital_cost=costs.at["biogas", "capital_cost"]
             + costs.at["biogas upgrading", "capital_cost"],
-            marginal_cost=costs.at["biogas upgrading", "VOM"],
+            marginal_cost=costs.at["biogas", "efficiency"]
+            * costs.at["biogas upgrading", "VOM"],  # NB: VOM is per MWh output
             efficiency=costs.at["biogas", "efficiency"],
             efficiency2=-costs.at["gas", "CO2 intensity"],
             p_nom_extendable=True,
@@ -7336,7 +7354,9 @@ def add_biomass(
             + costs.at["biomass CHP capture", "capital_cost"]
             * costs.at["biogas CC", "CO2 stored"],
             marginal_cost=costs.at["biogas CC", "VOM"]
-            + costs.at["biogas upgrading", "VOM"],
+            * costs.at["biogas CC", "efficiency"]
+            + costs.at["biogas upgrading", "VOM"]
+            * costs.at["biogas", "efficiency"],  # NB: VOM is per MWh output
             efficiency=costs.at["biogas CC", "efficiency"],
             efficiency2=costs.at["biogas CC", "CO2 stored"]
             * costs.at["biogas CC", "capture rate"],
@@ -7493,7 +7513,8 @@ def add_biomass(
             carrier="urban central solid biomass CHP",
             p_nom_extendable=True,
             capital_cost=costs.at[key, "capital_cost"] * costs.at[key, "efficiency"],
-            marginal_cost=costs.at[key, "VOM"],
+            marginal_cost=costs.at[key, "VOM"]
+            * costs.at[key, "efficiency"],  # NB: VOM is per MWel
             efficiency=costs.at[key, "efficiency"],
             efficiency2=costs.at[key, "efficiency-heat"],
             lifetime=costs.at[key, "lifetime"],
@@ -7513,7 +7534,8 @@ def add_biomass(
             * costs.at[key + " CC", "efficiency"]
             + costs.at["biomass CHP capture", "capital_cost"]
             * costs.at["solid biomass", "CO2 intensity"],
-            marginal_cost=costs.at[key + " CC", "VOM"],
+            marginal_cost=costs.at[key + " CC", "efficiency"]
+            * costs.at[key + " CC", "VOM"],  # NB: VOM is per MWel
             efficiency=costs.at[key + " CC", "efficiency"]
             - costs.at["solid biomass", "CO2 intensity"]
             * (
@@ -7783,8 +7805,6 @@ def add_industry(
         Year for which investment costs should be considered
     tyndp_scenario : str
         TYNDP scenario name for scenario-specific adjustments
-    HeatSystem : Enum
-        Enumeration defining different heat system types
 
     Returns
     -------
diff --git a/scripts/process_cost_data.py b/scripts/process_cost_data.py
index 201a2371db..78c75e9979 100644
--- a/scripts/process_cost_data.py
+++ b/scripts/process_cost_data.py
@@ -17,13 +17,13 @@
 Inputs
 ------
 
-- ``resources/costs_{planning_horizons}.csv``: Default cost data for specified planning horizon
-- (by default) ``data/custom_costs.csv``: Custom cost modifications (can be configured with `costs:custom_costs:file`
+- `resources/costs_{planning_horizons}.csv`: Default cost data for specified planning horizon
+- (by default) `data/custom_costs.csv`: Custom cost modifications (can be configured with `costs:custom_costs:file`
 
 Outputs
 -------
 
-- ``resources/costs_{planning_horizons}_processed.csv``: Prepared cost data with custom modifications applied
+- `resources/costs_{planning_horizons}_processed.csv`: Prepared cost data with custom modifications applied
 """
 
 import logging
diff --git a/scripts/retrieve_seawater_temperature.py b/scripts/retrieve_seawater_temperature.py
index 84646fd153..b99542fde2 100644
--- a/scripts/retrieve_seawater_temperature.py
+++ b/scripts/retrieve_seawater_temperature.py
@@ -14,10 +14,10 @@
 Relevant Settings
 -----------------
 
-.. code:: yaml
-
-    # No specific configuration required
-    # Uses year wildcard from Snakemake rule
+```yaml
+# No specific configuration required
+# Uses year wildcard from Snakemake rule
+```
 
 Inputs
 ------
diff --git a/scripts/sb/build_tyndp_offshore_hubs.py b/scripts/sb/build_tyndp_offshore_hubs.py
index f64cb6cd87..bec28c101c 100644
--- a/scripts/sb/build_tyndp_offshore_hubs.py
+++ b/scripts/sb/build_tyndp_offshore_hubs.py
@@ -475,8 +475,9 @@ def load_generators(sheet_name, tech_switch=None):
             .replace({"scenario": SCENARIO_DICT})
             .query("pyear in @planning_horizons and scenario == @scenario")
             .assign(
-                carrier=lambda x: "offwind-"
-                + x.carrier.str.lower().replace("_", "-", regex=True)
+                carrier=lambda x: (
+                    "offwind-" + x.carrier.str.lower().replace("_", "-", regex=True)
+                )
             )
             .drop(columns=column_del, errors="ignore")
         )
diff --git a/scripts/sb/clean_tyndp_h2_storages.py b/scripts/sb/clean_tyndp_h2_storages.py
index 7e9993d2c6..e821d3ad79 100644
--- a/scripts/sb/clean_tyndp_h2_storages.py
+++ b/scripts/sb/clean_tyndp_h2_storages.py
@@ -76,10 +76,12 @@ def load_h2_storage_data(
             e_nom_max=lambda df: df.e_nom_max * 1e3,  # [MWh]
             efficiency_charge=lambda df: df.efficiency_charge / 100,  # [1]
             efficiency_discharge=lambda df: df.efficiency_discharge / 100,  # [1]
-            bus=lambda df: df.bus
-            + np.where(df.h2_zone == "H2 Z2", suffix, " H2 Z1")
-            + " "
-            + np.where(df.h2_zone == "H2 Z2", "cavern-storage", "tank-storage"),
+            bus=lambda df: (
+                df.bus
+                + np.where(df.h2_zone == "H2 Z2", suffix, " H2 Z1")
+                + " "
+                + np.where(df.h2_zone == "H2 Z2", "cavern-storage", "tank-storage")
+            ),
         )
     )
 
diff --git a/scripts/sb/clean_tyndp_hydro_inflows.py b/scripts/sb/clean_tyndp_hydro_inflows.py
index 53fa505892..9053b096fa 100644
--- a/scripts/sb/clean_tyndp_hydro_inflows.py
+++ b/scripts/sb/clean_tyndp_hydro_inflows.py
@@ -56,11 +56,13 @@ def read_hydro_inflows_file(
     inflow_tech = pd.read_excel(
         fn,
         skiprows=1,
-        usecols=lambda name: name == "Day"
-        or name == "Week"
-        or name == "ShortName"
-        or name == "Variable"
-        or name == int(cyear),
+        usecols=lambda name: (
+            name == "Day"
+            or name == "Week"
+            or name == "ShortName"
+            or name == "Variable"
+            or name == int(cyear)
+        ),
         sheet_name=f"{hydro_tech} - Year Dependent",
     )
 
diff --git a/scripts/sb/clean_tyndp_report_benchmark.py b/scripts/sb/clean_tyndp_report_benchmark.py
index 6f98f0ecee..09653d07da 100644
--- a/scripts/sb/clean_tyndp_report_benchmark.py
+++ b/scripts/sb/clean_tyndp_report_benchmark.py
@@ -170,11 +170,13 @@ def add_report_carrier_mappings(carrier_mapping_fn: str, tables: dict) -> None:
             tech_map[["tyndp_report_carrier", col]]
             .dropna(subset=["tyndp_report_carrier", col])
             .assign(
-                tyndp_report_carrier=lambda x: x["tyndp_report_carrier"]
-                .str.removeprefix("H2 ")
-                .str.removeprefix("CH4 ")
-                .str.lower()
-                .str.rstrip("* ")
+                tyndp_report_carrier=lambda x: (
+                    x["tyndp_report_carrier"]
+                    .str.removeprefix("H2 ")
+                    .str.removeprefix("CH4 ")
+                    .str.lower()
+                    .str.rstrip("* ")
+                )
             )
             .set_index("tyndp_report_carrier")[col]
             .to_dict()
diff --git a/scripts/sb/group_tyndp_conventionals.py b/scripts/sb/group_tyndp_conventionals.py
index 56a0e24048..589757037a 100644
--- a/scripts/sb/group_tyndp_conventionals.py
+++ b/scripts/sb/group_tyndp_conventionals.py
@@ -137,8 +137,9 @@ def _group_profiles(
             how="left",
         )
         .assign(
-            p_max_t=lambda df: df.p_max_t
-            + (df.p_nom - df.p_nom_profiles),  # add missing capacities to p_max
+            p_max_t=lambda df: (
+                df.p_max_t + (df.p_nom - df.p_nom_profiles)
+            ),  # add missing capacities to p_max
             p_min_pu=lambda df: df.p_min_t / df.p_nom,
             p_max_pu=lambda df: df.p_max_t / df.p_nom,
             open_tyndp_type=lambda df: df.index_carrier,
diff --git a/scripts/sb/make_benchmark.py b/scripts/sb/make_benchmark.py
index 7939ea9ab9..1f533712fc 100644
--- a/scripts/sb/make_benchmark.py
+++ b/scripts/sb/make_benchmark.py
@@ -124,9 +124,9 @@ def _bus_to_country(bus: str) -> str:
         lambda x: _bus_to_country(x) if pd.notna(x) else x
     )
     benchmarks_raw.loc[:, "corridor"] = benchmarks_raw["border"].map(
-        lambda x: "->".join(_bus_to_country(b) for b in x.split("->"))
-        if pd.notna(x)
-        else x
+        lambda x: (
+            "->".join(_bus_to_country(b) for b in x.split("->")) if pd.notna(x) else x
+        )
     )
 
     return benchmarks_raw
diff --git a/scripts/simplify_network.py b/scripts/simplify_network.py
index 6ba67f0700..a626b14b82 100644
--- a/scripts/simplify_network.py
+++ b/scripts/simplify_network.py
@@ -11,32 +11,29 @@
 Outputs
 -------
 
-- ``resources/regions_onshore_base.geojson``:
+- `resources/regions_onshore_base.geojson`:
 
-    .. image:: img/regions_onshore_base_s.png
-            :scale: 33 %
+    ![](img/regions_onshore_base_s.png)
 
-- ``resources/regions_offshore_base.geojson``:
+- `resources/regions_offshore_base.geojson`:
 
-    .. image:: img/regions_offshore_base_s  .png
-            :scale: 33 %
+    ![](img/regions_offshore_base_s.png)
 
-- ``resources/busmap_base_s.csv``: Mapping of buses from ``networks/base.nc`` to ``networks/base_s.nc``;
-- ``networks/base.nc``:
+- `resources/busmap_base_s.csv`: Mapping of buses from `networks/base.nc` to `networks/base_s.nc`;
+- `networks/base.nc`:
 
-    .. image:: img/base_s.png
-        :scale: 33 %
+    ![](img/base_s.png)
 
 Description
 -----------
 
-The rule :mod:`simplify_network` does up to three things:
+The rule [simplify_network][] does up to three things:
 
-1. Create an equivalent transmission network in which all voltage levels are mapped to the 380 kV level by the function ``simplify_network(...)``.
+1. Create an equivalent transmission network in which all voltage levels are mapped to the 380 kV level by the function `simplify_network(...)`.
 
-2. DC only sub-networks that are connected at only two buses to the AC network are reduced to a single representative link in the function ``simplify_links(...)``.
+2. DC only sub-networks that are connected at only two buses to the AC network are reduced to a single representative link in the function `simplify_links(...)`.
 
-3. Stub lines and links, i.e. dead-ends of the network, are sequentially removed from the network in the function ``remove_stubs(...)`` and ``remove_stubs_within_admin(...)``.
+3. Stub lines and links, i.e. dead-ends of the network, are sequentially removed from the network in the function `remove_stubs(...)` and `remove_stubs_within_admin(...)`.
 """
 
 import logging
@@ -135,13 +132,14 @@ def split_links(nodes, added_supernodes):
 
         seen = set()
 
-        # Supernodes are endpoints of links, identified by having lass then two neighbours or being an AC Bus
-        # An example for the latter is if two different links are connected to the same AC bus.
+        # Supernodes are buses that are not simple chain nodes within the component.
+        # A chain node has degree 2 inside the component; endpoints (degree 1),
+        # junctions (degree >=3), and AC buses are kept as supernodes.
         supernodes = {
             m
             for m in nodes
             if (
-                (len(G.adj[m]) < 2 or (set(G.adj[m]) - nodes))
+                (len(set(G.adj[m]) & nodes) != 2)
                 or (n.buses.loc[m, "carrier"] == "AC")
                 or (m in added_supernodes)
             )
@@ -241,9 +239,6 @@ def split_links(nodes, added_supernodes):
 
     _remove_clustered_buses_and_branches(n, busmap)
 
-    # Change carrier type of all added super_nodes to "AC"
-    n.buses.loc[added_supernodes, "carrier"] = "AC"
-
     return n, busmap
 
 
@@ -340,10 +335,14 @@ def find_closest_bus(n, x, y, tol=2000):
 
     Parameters
     ----------
-        n (pypsa.Network): The network object.
-        x (float): The x-coordinate (longitude) of the target location.
-        y (float): The y-coordinate (latitude) of the target location.
-        tol (float): The distance tolerance in meters. Default is 2000 meters.
+    n : pypsa.Network
+        The network object.
+    x : float
+        The x-coordinate (longitude) of the target location.
+    y : float
+        The y-coordinate (latitude) of the target location.
+    tol : float
+        The distance tolerance in meters. Default is 2000 meters.
 
     Returns
     -------
@@ -380,7 +379,8 @@ def remove_converters(n: pypsa.Network) -> pypsa.Network:
 
     Parameters
     ----------
-        n (pypsa.Network): The network object.
+    n : pypsa.Network
+        The network object.
 
     Returns
     -------
diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index 31b5a88c67..41c9b186b6 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -15,16 +15,14 @@
 Total annual system costs are minimised with PyPSA. The full formulation of the
 linear optimal power flow (plus investment planning
 is provided in the
-`documentation of PyPSA <https://pypsa.readthedocs.io/en/latest/optimal_power_flow.html#linear-optimal-power-flow>`_.
+[documentation of PyPSA](https://pypsa.readthedocs.io/en/latest/optimal_power_flow.html#linear-optimal-power-flow).
 
-The optimization is based on the :func:`network.optimize` function.
-Additionally, some extra constraints specified in :mod:`solve_network` are added.
+The optimization is based on the `network.optimize` function.
+Additionally, some extra constraints specified in [solve_network][] are added.
 
-.. note::
-
-    The rules ``solve_elec_networks`` and ``solve_sector_networks`` run
-    the workflow for all scenarios in the configuration file (``scenario:``)
-    based on the rule :mod:`solve_network`.
+**Note:** The rules `solve_elec_networks` and `solve_sector_networks` run
+    the workflow for all scenarios in the configuration file (`scenario:`)
+    based on the rule [solve_network][].
 """
 
 import importlib
@@ -456,11 +454,11 @@ def add_load_balance_components(n, config, sign=1):
         n.add("Carrier", "load")
 
     carriers = config.get("carriers", {})
-    default_price = config.get("default_price")
+    default_cost = config.get("default_cost")
     balance_comp = "shedding" if sign > 0 else "sink"
 
     logger.info(
-        f"Add load {balance_comp} for {'all carriers' if config.get('apply_to_all_carriers') else ', '.join(carriers)}."
+        f"Add load {balance_comp} for {'all carriers' if config.get('all_carriers') else ', '.join(carriers)}."
     )
 
     for bus_carrier, price in carriers.items():
@@ -476,7 +474,7 @@ def add_load_balance_components(n, config, sign=1):
             sign=sign,
         )
 
-    if config.get("apply_to_all_carriers", False):
+    if config.get("all_carriers", False):
         buses_rest_i = n.buses[~n.buses.carrier.isin(carriers)].index
         n.add(
             "Generator",
@@ -484,7 +482,7 @@ def add_load_balance_components(n, config, sign=1):
             f" load {balance_comp}",
             bus=buses_rest_i,
             carrier="load",
-            marginal_cost=default_price,
+            marginal_cost=default_cost,
             p_nom=np.inf,
             sign=sign,
         )
@@ -498,6 +496,7 @@ def prepare_network(
     planning_horizons: str | None,
     co2_sequestration_potential: dict[str, float] | None,
     limit_max_growth: dict[str, Any] | None = None,
+    rolling_horizon: bool = False,
     config: dict[str, Any] | None = None,
 ) -> None:
     """
@@ -537,6 +536,8 @@ def prepare_network(
             df.where(df.abs() > solve_opts["clip_p_max_pu"], other=0.0, inplace=True)
 
     if (load_shedding := solve_opts.get("load_shedding", {})).get("enable", False):
+        # intersect between macroeconomic and surveybased willingness to pay
+        # http://journal.frontiersin.org/article/10.3389/fenrg.2015.00055/full
         add_load_balance_components(n, load_shedding)
 
     if (load_sinks := solve_opts.get("load_sinks", {})).get("enable", False):
@@ -612,6 +613,13 @@ def prepare_network(
             planning_horizons=planning_horizons,
         )
 
+    # rolling horizon disables cyclic storage
+    if rolling_horizon:
+        n.storage_units.state_of_charge_cyclic = False
+        n.storage_units.state_of_charge_initial = 0
+        n.stores.e_cyclic = False
+        n.stores.e_initial = 0
+
     if config:
         sanitize_carriers(n, config)
 
@@ -824,8 +832,10 @@ def add_SAFE_constraints(n, config):
 
     Parameters
     ----------
-        n : pypsa.Network
-        config : dict
+    n : pypsa.Network
+        The PyPSA network instance.
+    config : dict
+        Configuration dictionary.
 
     Example
     -------
@@ -860,12 +870,15 @@ def add_operational_reserve_margin(n, sns, config):
 
     Parameters
     ----------
-        n : pypsa.Network
-        sns: pd.DatetimeIndex
-        config : dict
+    n : pypsa.Network
+        The PyPSA network instance.
+    sns : pd.DatetimeIndex
+        Snapshots for the simulation.
+    config : dict
+        Configuration dictionary.
 
-    Example:
-    --------
+    Example
+    -------
     config.yaml requires to specify operational_reserve:
     operational_reserve: # like https://genxproject.github.io/GenX/dev/core/#Reserves
         activate: true
@@ -1415,12 +1428,14 @@ def extra_functionality(
     snapshots : pd.DatetimeIndex
         Simulation timesteps
     planning_horizons : str, optional
-        The current planning horizon year or None in perfect foresight
+        The current planning horizon year or None in perfect foresight.
     offshore_zone_trajectories_fn: str, optional
         Path to the file containing the offshore zone potentials trajectories
     renewable_carriers_tyndp : list[str], optional
         List of TYNDP renewable carriers
 
+    Notes
+    -----
     Collects supplementary constraints which will be passed to
     ``pypsa.optimization.optimize``.
 
@@ -1618,6 +1633,7 @@ def collect_kwargs(
 
         if cf_solving["post_discretization"].get("enable", False):
             logger.info("Add post-discretization parameters.")
+            cf_solving["post_discretization"].pop("enable", None)
             all_kwargs.update(cf_solving["post_discretization"])
 
         return all_kwargs, {}
@@ -1715,6 +1731,7 @@ def create_optimization_model(
         planning_horizons=planning_horizons,
         co2_sequestration_potential=snakemake.params["co2_sequestration_potential"],
         limit_max_growth=snakemake.params.get("sector", {}).get("limit_max_growth"),
+        rolling_horizon=cf_solving["rolling_horizon"],
         config=snakemake.config,
     )
 
@@ -1734,7 +1751,7 @@ def create_optimization_model(
     with memory_logger(
         filename=getattr(snakemake.log, "memory", None), interval=logging_frequency
     ) as mem:
-        if rolling_horizon and snakemake.rule == "solve_operations_network":
+        if rolling_horizon:
             logger.info("Using rolling horizon optimization...")
             all_kwargs, _ = collect_kwargs(
                 snakemake.config,
diff --git a/scripts/solve_operations_network.py b/scripts/solve_operations_network.py
index 419f7d3d3c..2d91b40e5b 100644
--- a/scripts/solve_operations_network.py
+++ b/scripts/solve_operations_network.py
@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: MIT
 """
 Solves linear optimal dispatch in hourly resolution using the capacities of
-previous capacity expansion in rule :mod:`solve_network`.
+previous capacity expansion in rule [solve_network][].
 """
 
 import logging
diff --git a/test/test_config_schema.py b/test/test_config_schema.py
index 91f363a2e6..4c62420c81 100644
--- a/test/test_config_schema.py
+++ b/test/test_config_schema.py
@@ -13,9 +13,24 @@
 from scripts.lib.validation.config import (
     generate_config_defaults,
     generate_config_schema,
+    validate_config,
 )
 
 
+@pytest.fixture(scope="module")
+def config_file():
+    config = validate_config({})
+    config_filename = Path(f"config/config.{config._name}.yaml")
+    return config_filename
+
+
+@pytest.fixture(scope="module")
+def schema_file():
+    config = validate_config({})
+    schema_filename = Path(f"config/schema.{config._name}.json")
+    return schema_filename
+
+
 def _check_file_in_sync(existing_path: Path, generate_func, file_type: str):
     """Check if a file is in sync with the generated content."""
     assert existing_path.exists(), f"{existing_path} does not exist"
@@ -52,21 +67,21 @@ def _check_file_in_sync(existing_path: Path, generate_func, file_type: str):
         )
 
 
-def test_config_default_yaml_in_sync():
+def test_config_default_yaml_in_sync(config_file):
     """Test that config/config.default.yaml is in sync with Pydantic schema."""
 
     _check_file_in_sync(
-        Path("config/config.default.yaml"),
+        config_file,
         generate_config_defaults,
         "yaml",
     )
 
 
-def test_config_schema_json_in_sync():
+def test_config_schema_json_in_sync(schema_file):
     """Test that config/schema.default.json is in sync with Pydantic schema."""
 
     _check_file_in_sync(
-        Path("config/schema.default.json"),
+        schema_file,
         generate_config_schema,
         "json",
     )
diff --git a/test/test_data_versions_layer.py b/test/test_data_versions_layer.py
index 41c55d826d..621c4b46e6 100644
--- a/test/test_data_versions_layer.py
+++ b/test/test_data_versions_layer.py
@@ -52,26 +52,32 @@ def sort_versions(df: pd.DataFrame) -> pd.DataFrame:
 
 is_sorted = Check(lambda df: df.equals(sort_versions(df)), error="Data must be sorted")
 archive_has_url = Check(
-    lambda df: df.loc[df["source"].isin({"archive", "tyndp-archive"}), "url"]
-    .str.len()
-    .gt(0)
-    .all(),
+    lambda df: (
+        df.loc[df["source"].isin({"archive", "tyndp-archive"}), "url"]
+        .str.len()
+        .gt(0)
+        .all()
+    ),
     error="Archive entries must have a URL",
 )
 one_latest_per_dataset_source = Check(
-    lambda df: df[df["tags"].str.contains("latest")]
-    .groupby(["dataset", "source"])
-    .size()
-    .eq(1)
-    .all(),
+    lambda df: (
+        df[df["tags"].str.contains("latest")]
+        .groupby(["dataset", "source"])
+        .size()
+        .eq(1)
+        .all()
+    ),
     error="Exactly one 'latest' tag required per dataset/source combination",
 )
 latest_same_version_across_sources = Check(
-    lambda df: df[(df["tags"].str.contains("latest")) & (df["version"] != "unknown")]
-    .groupby("dataset")["version"]
-    .nunique()
-    .le(1)
-    .all(),
+    lambda df: (
+        df[(df["tags"].str.contains("latest")) & (df["version"] != "unknown")]
+        .groupby("dataset")["version"]
+        .nunique()
+        .le(1)
+        .all()
+    ),
     error="All 'latest' entries for a dataset must have the same version across sources (excluding 'unknown')",
 )
 VersionsSchema = pa.DataFrameSchema(