Renewable Energy System (RES) course project - Fall 2022 Semester Aarhus University.
The file Instructions_RES_project guides you through the installation of Python for Power System Analysis (PyPSA) which you will be using for your course project. Follow these instructions, and test if you have installed it correctly by running the Jupyter notebook testing.ipynb.
For the project instructions, see RES_project.ipynb. Before you can run this, you need to download hourly capacity factors for onshore wind and solar PV (select 'optimal' for PV and onshore for wind). Create a new folder in the root of this repository, name this new folder "data_extra" and move the .csv files with hourly capacity factors to here.
In the data folder, the electricity_demand and heating_demand data is provided in MWh.