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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.
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.
Author(s)
Maintainer: Sebastian Gatscha sebastian_gatscha@gmx.at
See Also
Useful links:
windfarmGA documentation built on Sept. 14, 2026, 9:08 a.m.
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| windfarmGA-package | R Documentation |
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.
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.
Author(s)
Maintainer: Sebastian Gatscha sebastian_gatscha@gmx.at
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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