pre-merge on updated technolgy-data repo

Author: BertoGBG

.github/workflows/ci.yaml

@@ -25,7 +25,7 @@ jobs:
 
     steps:
     - name: Checkout code
-      uses: actions/checkout@v5
+      uses: actions/checkout@v6
 
     - name: Setup micromamba
       uses: mamba-org/setup-micromamba@v2
@@ -46,7 +46,7 @@ jobs:
         make test
 
     - name: Upload artifacts
-      uses: actions/upload-artifact@v5
+      uses: actions/upload-artifact@v7
       with:
         name: technology-data
         path: outputs/

.pre-commit-config.yaml

@@ -17,7 +17,7 @@ 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
@@ -27,7 +27,7 @@ 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,WEGE,Wege,Eletricity'] # Ignore capital case words, e.g. country codes
@@ -36,14 +36,14 @@ 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: pinned\.yaml$
     args: [--autofix, --indent, "2", --preserve-quotes]
 
   # Format Snakemake rule / workflow files
 - repo: https://github.com/snakemake/snakefmt
-  rev: v0.11.2
+  rev: v1.0.0
   hooks:
   - id: snakefmt

Snakefile

@@ -11,7 +11,7 @@ configfile: "config.yaml"
 
 rule compile_cost_assumptions:
     input:
-        inflation_rate="inputs/Eurostat_inflation_rates.xlsx",
+        inflation_rate="inputs/prc_hicp_aind__custom_20097956_spreadsheet.xlsx",
         pypsa_costs="inputs/costs_PyPSA.csv",
         fraunhofer_costs="inputs/Fraunhofer_ISE_costs.csv",
         fraunhofer_energy_prices="inputs/Fraunhofer_ISE_energy_prices.csv",
@@ -30,13 +30,13 @@ rule compile_cost_assumptions:
         manual_input="inputs/manual_input.csv",
     output:
         expand("outputs/costs_{year}.csv", year=config["years"]),
+    log:
+        pathlib.Path("logs", "compile_cost_assumptions.log"),
+    conda:
+        "environment.yaml"
     threads: 1
     resources:
         mem=500,
-    conda:
-        "environment.yaml"
-    log:
-        pathlib.Path("logs", "compile_cost_assumptions.log"),
     script:
         "scripts/compile_cost_assumptions.py"
 
@@ -49,18 +49,18 @@ rule compile_cost_assumptions_usa:
             year=config["nrel_atb"]["nrel_atb_input_years"],
         ),
         nrel_atb_manual_input_usa="inputs/US/manual_input_usa.csv",
-        inflation_rate="inputs/Eurostat_inflation_rates.xlsx",
+        inflation_rate="inputs/prc_hicp_aind__custom_20097956_spreadsheet.xlsx",
         nrel_atb_input_discount_rate="inputs/US/discount_rates_usa.csv",
         nrel_atb_input_fuel_costs="inputs/US/fuel_costs_usa.csv",
     output:
         expand("outputs/US/costs_{year}.csv", year=config["years"]),
+    log:
+        pathlib.Path("logs", "compile_cost_assumptions_usa.log"),
+    conda:
+        "environment.yaml"
     threads: 1
     resources:
         mem=500,
-    conda:
-        "environment.yaml"
-    log:
-        pathlib.Path("logs", "compile_cost_assumptions_usa.log"),
     script:
         "scripts/compile_cost_assumptions_usa.py"
 
@@ -82,20 +82,20 @@ rule convert_EWG:
         EWG="docu/EWG_LUT_100RE_All_Sectors_Global_Report_2019.pdf",
     output:
         costs="inputs/EWG_costs.csv",
+    conda:
+        "environment.yaml"
     threads: 1
     resources:
         mem=500,
-    conda:
-        "environment.yaml"
     script:
         "scripts/convert_pdf_EWG_to_dataframe.py"
 
 
 rule all:
+    default_target: True
     input:
         rules.compile_cost_assumptions.output,
         rules.compile_cost_assumptions_usa.output,
-    default_target: True
 
 
 rule purge:

config.yaml

@@ -15,7 +15,7 @@ nrel_atb:
 expectation: ""  # tech data uncertainty, possible options [None, "optimist", "pessimist"]
 
 #year for EUR outputs
-eur_year: 2020
+eur_year: 2025
 
 # add solar from different source
 solar_utility_from_vartiaien: false

docs/release_notes.rst

@@ -16,21 +16,41 @@ Upcoming Release
 ..   The features listed below are not released yet, but will be part of the next release! 
 ..   To use the features already you have to use the ``master`` branch.
 
-* Adding `grey methanol synthesis`.
+* Updated Biochar pyrolysis: units updated with rebase on CO2 sequestered, biomass properties aligned with other biomass technolgies, 0.7 coefficient applied to calculate final CO2 sequestration beyond 100 years.
 
-* Align cost units for NREL battery data with PyPSA modeling, fetching investment cost and FOM for both `battery storage` and `battery inverter` instead of a single value for `battery storage`, which was instead representative of the full plant (battery storage + battery inverter).
+`v0.14.0 <https://github.com/PyPSA/technology-data/releases/tag/v0.14.0>`__ (13th February 2026)
+================================================================================================
 
-* Add excess heat output rates for Fischer-Tropsch and Haber-Bosch processes.
+* Changed currency year from 2020 to 2025 for all cost assumptions using updated Eurostat inflation rates. (https://github.com/PyPSA/technology-data/pull/263)
 
-* Updated indexing of DEA Excel data for PTES and revised capital cost and FOM assumptions for 2045 and 2050.
+* Updated electricity transmission and offshore wind connection costs based on latest DEA data (https://ens.dk/en/analyses-and-statistics/technology-data-transport-energy, July 2025).
+  Aligned unit costs of offshore wind connection and general transmission. For offshore wind connections, included missing FOM. (https://github.com/PyPSA/technology-data/pull/262)
 
+* Updated fossil fuel (gas, oil, lignite) and nuclear fuel (nuclear, uranium) costs based on TYNDP 2024 scenarios data. (https://github.com/PyPSA/technology-data/pull/259)
 
-* Corrected units for standing losses of TES technologies from per unit to %/hour and changed parameter names from "Energy losses during storage" to "standing losses" as well as "Temperature difference" to "temperature difference" for naming consistency.
+* Changed to DEA assumptions for Fischer-Tropsch and methanolisation. (https://github.com/PyPSA/technology-data/pull/251)
 
+* Fixed coal consumption of blast furnace steelmaking. (https://github.com/PyPSA/technology-data/pull/246)
 
-* Add standing losses as parameters for LTES
+* Added grey methanol synthesis. (https://github.com/PyPSA/technology-data/pull/248)
 
-* Corrected CO2 content in biogas
+* Aligned cost units for NREL battery data with PyPSA modeling, fetching investment cost and FOM for both `battery storage` and `battery inverter` instead of a single value for `battery storage`, which was instead representative of the full plant (battery storage + battery inverter). (https://github.com/PyPSA/technology-data/pull/239)
+
+`v0.13.4 <https://github.com/PyPSA/technology-data/releases/tag/v0.13.4>`__ (20th October 2025)
+===============================================================================================
+
+* Corrected CO2 content in biogas. (https://github.com/PyPSA/technology-data/pull/236)
+
+* Fixed indexing for PTES and revised capital cost and FOM assumptions for 2045 and 2050. (https://github.com/PyPSA/technology-data/pull/234)
+
+* Added excess heat output rates for Fischer-Tropsch and Haber-Bosch processes. (https://github.com/PyPSA/technology-data/pull/241)
+
+`v0.13.3 <https://github.com/PyPSA/technology-data/releases/tag/v0.13.3>`__ (1st July 2025)
+===========================================================================================
+
+* Corrected units for standing losses of TES technologies from per unit to %/hour and changed parameter names from "Energy losses during storage" to "standing losses" as well as "Temperature difference" to "temperature difference" for naming consistency. (https://github.com/PyPSA/technology-data/pull/230)
+
+* Added standing losses as parameters for LTES. (https://github.com/PyPSA/technology-data/pull/229)
 
 `v0.13.2 <https://github.com/PyPSA/technology-data/releases/tag/v0.13.2>`__ (13th June 2025)
 =======================================================================================
@@ -45,6 +65,7 @@ Upcoming Release
 `v0.13.0 <https://github.com/PyPSA/technology-data/releases/tag/v0.13.0>`__ (11th June 2025)
 =======================================================================================
 
+
 * Add several H2 production technologies (generic cost assumptions), fix FOM values and rename of efficiency to electricity-input in US cost assumptions for US-specific electrolyzer costs (https://github.com/PyPSA/technology-data/pull/222)
 
 `v0.12.0 <https://github.com/PyPSA/technology-data/releases/tag/v0.12.0>`__ (19th May 2025)

environment.yaml

@@ -7,11 +7,11 @@ channels:
 - conda-forge
 - bioconda
 dependencies:
-- python>=3.8
+- python>=3.10
 - pip
   # for running the package
-- snakemake-minimal>=8.5,<8.25 # See https://github.com/snakemake/snakemake/issues/3202
-- pandas>=2.1
+- snakemake-minimal>=8.5
+- pandas>=2.1,<3
 - pypsa
 - pyarrow
 - numpy

inputs/Eurostat_inflation_rates.xlsx

@@ -48,7 +48,6 @@ oil,2030,VOM,3,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
 biomass,2030,fuel,7,EUR/MWhth,IEA2011b
 biogas,2030,fuel,59,EUR/MWhth,JRC and Zappa
 solid biomass,2030,fuel,25.2,EUR/MWhth,JRC and Zappa
-oil,2030,fuel,50,EUR/MWhth,IEA WEM2017 97USD/boe = http://www.iea.org/media/weowebsite/2017/WEM_Documentation_WEO2017.pdf
 PHS,2030,efficiency,0.75,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
 hydro,2030,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
 ror,2030,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
@@ -190,10 +189,4 @@ electricity grid connection,2030,FOM,2,%/year,TODO
 decentral oil boiler,2030,investment,156.0140915953699,EUR/kWth,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf) (+eigene Berechnung)
 decentral oil boiler,2030,lifetime,20.0,years,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf)
 decentral oil boiler,2030,FOM,2.0,%/year,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf)
-decentral oil boiler,2030,efficiency,0.9,per unit,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf)
-offwind-ac-station,2030,investment,250,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind-ac-connection-submarine,2030,investment,2685,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind-ac-connection-underground,2030,investment,1342,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind-dc-station,2030,investment,400,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction
-offwind-dc-connection-submarine,2030,investment,2000,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
-offwind-dc-connection-underground,2030,investment,1000,EUR/MW/km,Haertel 2017; average + 13% learning reduction
+decentral oil boiler,2030,efficiency,0.9,per unit,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf)