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.
| Version: |
4.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
Rcpp, terra, sf, RColorBrewer, calibrate, grDevices, graphics, magrittr, methods, stats, utils |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat (≥ 3.0.0), foreach, parallel, doParallel, progress, stars, raster, leaflet, elevatr (≥ 0.99.0), ggplot2, gstat, rworldmap |
| Published: |
2025-01-18 |
| Author: |
Sebastian Gatscha [aut, cre, cph] |
| Maintainer: |
Sebastian Gatscha <sebastian_gatscha at gmx.at> |
| BugReports: |
https://github.com/YsoSirius/windfarmGA/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://ysosirius.github.io/windfarmGA/index.html |
| NeedsCompilation: |
yes |
| CRAN checks: |
windfarmGA results |