The potential for repowering US wind turbines
This repository contains code to produce the figures for an analysis first presented at the EGU 2019 in the session Spatiotemporal modelling of distributed renewable energy systems (abstract).
For more information about the project visit https://refuel.world/.
- dependencies: see env.yml + standard tools like GNU Make, wget
- approx. 200GB of disk space, more than 16GB RAM
- API key for the CDS API
- API key for the EIA API
How to run
To install all dependencies using conda:
conda env update -f env.yml
Store the EIA API key in a plain text file
eia-api-key in the repository root directory.
Activate the conda environment:
conda activate wind_repower_usa
Install the Python Gurobi API in the conda environment:
cd /opt/gurobi810/linux64/ python setup.py install
Run individual steps using Make:
make download_turbines make download_wind_era5 make download_energy_generation make calc_wind_speed make calc_simulated_energy_timeseries make calc_simulated_energy_per_location make calc_optimal_locations make calc_repower_potential make calc_min_distances make generate_figures make slides