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The potential for repowering US wind turbines
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README.md

MIT License

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/.

Map of mean wind speed and wind turbines in the US

Requirements

  • 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
  • Gurobi

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

Changelog

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