windfarmGA-package: windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization
Description
The genetic algorithm is designed to optimize wind farms of any shape. Each layout is encoded as n unique grid-cell identifiers. 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.
Arguments
Author
Maintainer: Sebastian Gatscha sebastian_gatscha@gmx.at
Details
A package to optimize small wind farms with irregular shapes
using a genetic algorithm. Each individual is n unique grid-cell
IDs (set-crossover, swap-mutation). 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: