merged main

Author: hcasperfu

MILPResources/README.md

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+This directory contains scripts to send data to the MILP platform (Sympheny) and to post-process the results.
+
+## Sending data to the MILP platform
+
+The script `sympheny_connect.py` connects to the MILP platform, duplicates and populates the single hub models (gas, a2w, w2w, ets), created manually on the platform, providing for each hub:
+- The hourly electricity consumption for non HVAC purposes
+- The hourly space heating consumption
+- The hourly domestic hot water consumption
+- The hourly cooling consumption
+- The hourly cost of electricity (`electricity_price.xlsx`)
+
+The PV production (`pv_unit.xlsx`) is manually uploaded to the MILP platform.
+
+## Running optimization on the MILP platform
+
+Optimization is currently triggered manually via the MILP platform interface. 
+The result files (in `xlsx` format) are downloaded locally.
+
+## Post Processing
+
+The ipython notebook (`post_processing.ipynb`) reads the result files and writes all figures to the directory `img` as pdf files. Those files are used in the report.
+
+This workflow was developed and tested on Windows 11 Pro (24H2) and Python 3.12.7. The following packages were used:
+```
+json 2.0.9
+matplotlib 3.9.2
+numpy 1.26.4
+pandas 2.2.3
+requests 2.32.3
+seaborn 0.13.2
+xlsxwriter 3.1.9
+```