medea is a power system model, developed by Sebastian Wehrle and Johannes Schmidt. This repository contains code for the abstract model along with dummy data. Code to download and compile actual data for Austria and Germany is provided in the medea-data-atde repository.
medea is currently employed within the reFUEL and NetZero2040 projects.
Recently, medea was used to assess The cost of undisturbed landscapes. The corresponding peer-reviewed publication can be found here. The replication code for the model can be found here.
- at least 16 GB RAM, 32 GB recommended
- python 3.6 or later
- for python dependencies: see requirements.txt
- GAMS 24.8 or later
- a solver for mathematical programs, such as CPLEX or Gurobi
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python: an easy, yet lightweight way to install python is via miniconda.
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GAMS and GAMS-python API: download and install GAMS, then follow these instructions to set up the GAMS-python API. (Remember to activate the appropriate python-envorinment beore installing the GAMS-python API)
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git: download and install git
For more information on how to set up and use medea, please consult getting started.
Feel free to use the github-tools for bug reporting, feature requests etc. You can also contact me.
We gratefully acknowledge support from the European Research Council (“reFUEL” ERC2017-STG 758149) and the Austrian Klimafonds as part of the 13th Austrian Climate Research Programme (“NetZero2040” KR20AC0K18182).