windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Details

A package to optimize small wind farms with irregular shapes using a genetic algorithm. It requires a fixed amount of turbines, a fixed rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included which downloads a digital elevation model and a Corine Land Cover raster to approximate surface roughness. Further information can be found at the description of the function genetic_algorithm.

See also

Useful links:

• Documentation Github.io

• Documentation

• Master Thesis

• Shiny App

• Report Issues

Author

Maintainer: Sebastian Gatscha sebastian_gatscha@gmx.at