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Changelog

Source: NEWS.md

windfarmGA 3.0.0

CRAN release: 2021-05-05

  • The dependencies sp, spatstat were removed and replaced by sf. All spatial outputs are now Simple Features. A Shapefile Polygon can still be passed as input to genetic_algorithm / windfarmGA, but more underlying functions now require the Polygon to be of type Simple Feature.
  • The functions grid_area & hexa_area are now calculated with sf::st_make_grid.
  • The new dependency elevatr has been added because it provides elevation data with a higher resolution compared to raster::getData.
  • Several dependencies that are not essential for the algorithm were moved to Suggests.
  • Bugfix for the calculation of the visibility analysis. #17
  • The viewshed parameter h1 can now also be a numeric vector with different height offsets. #18
  • The grid_area argument resol changed to size.
  • The arguments for get_dist_angles have changed to match the arguments of turbine_influences.

windfarmGA 2.3.0

CRAN release: 2020-10-20

  • Due to the changes in the PROJ 6 library and its handling of coordinate reference systems, some adjustments were necessary. Attempts were made to ensure backward compatibility. However, warnings like the following are now increasingly displayed:

    Warning message:
In showSRID(uprojargs, format = "PROJ", multiline = "NO", prefer_proj = prefer_proj) :
  Discarded datum European_Terrestrial_Reference_System_1989 in CRS definition

windfarmGA 2.2.3

CRAN release: 2019-12-16

  • Fix tests for R 3.4.0, as class(matrix) is of length 2.

  • Expose more options which can be set with options(windfarmGA.cT = 0.75):

    Options = Default value Description
    windfarmGA.cT = 0.88 Wind Turbine Thrust coefficient
    windfarmGA.air_rh = 1.225 Air Density Value
    windfarmGA.k = 0.075 Wake expansion coefficient. It is assumed to be 0.075 for onshore windfarms and 0.05 for offshore windfarms
    windfarmGA.max_angle = 20 Maximum angle (in degrees) to search for potentially influencing turbines
    windfarmGA.max_distance = 100000 Maximum distance (in meters) to search for potentially influencing turbines
    windfarmGA.max_population = 300 Maximum number of individuals per generation
    windfarmGA.max_selection = 100 Maximum number of selected individuals

windfarmGA 2.2.2

CRAN release: 2019-08-27

Pkgdown
Renaming Functions

  • Almost all functions have been renamed to have a consistent appearance and a clearer meaning. The old functions still exist, but are deprecated now.

    Renaming Overview

    Old names New names
    StartGA init_population
    selection1 selection
    crossover1 crossover
    VekWinkelCalc get_dist_angles
    calculateEn calculate_energy
    getRects get_grids
    BaroHoehe barometric_height
    GridFilter grid_area
    HexaTex hexa_area
    InfluPoints turbine_influences
    genAlgo genetic_algorithm
    RandomSearch random_search
    RandomSearchTurb random_search_single
    RandomSearchPlot plot_random_search
    leafPlot plot_leaflet
    heatmapGA plot_heatmap
    plotbeorwor plot_development
    plotCloud plot_cloud
    plotEvolution plot_evolution
    plotfitnessevolution plot_fitness_evolution
    plotparkfitness plot_parkfitness
    plotResult plot_result
    PlotWindfarmGA plot_windfarmGA
    plotWindrose plot_windrose
Bugfixes / Other Changes

  • The legend of plot_leaflet now works correctly.

  • Some general linting / spell checking / performance optimization was done.

  • The Weibull Raster (for Austria) are now in a separate Github-repository, instead of being stored in the package as .rda file. I guess this never worked except on my computer.

  • The Corine Land Cover .tif file is also stored in that repository, as the EEA webpage did restrict downloads sometimes, which resulted in an error.

  • The plot_farm_3d function has temporarily been removed from the package.

  • Most functions that required user-input previously used readline which is now changed to readLines as it allows to read from a file instead. This can be set via options(windfarmGA.connection = file()).

  • A whole lot of tests were written.

windfarmGA 2.2.1

CRAN release: 2019-02-18

Performance Tuning / Restructuring
  • Switch to matrices instead of data.frames and a lot of restructuring and performance optimization of the whole algorithm.
Viewshed Analysis
  • New set of functions, to analyze the visual impact of a wind farm.
    • cansee,
    • viewTo,
    • rasterprofile,
    • viewshed,
    • plot_viewshed,
    • interpol_view,
    • getISO3,
    • getDEM
Other Changes

  • The function genAlgo/windfarmGA and the plotting functions now accept SimpleFeature Polygons or coordinates in table format with long, lat or x, y column names. The terrain effect model can now be activated only by setting topograp to TRUE and it will attempt to download the land cover raster from the European Environment Agency website.

  • plot_farm_3d Experimental rayshader function

windfarmGA 1.2.1

CRAN release: 2018-03-25

Randomization

The output of genAlgo or windfarmGA can be further randomized/optimized with the following functions: - RandomSearch - RandomSearchTurb

RandomSearch is used to randomize all turbines of the layout

RandomSearchTurb is used to randomize a single turbine

RandomSearchPlot is used to plot the output of those functions, comparing them with the original result.

load(file = system.file("extdata/resultrect.rda", package = "windfarmGA"))
load(file = system.file("extdata/polygon.rda", package = "windfarmGA"))
Res = RandomSearchTurb(result = resultrect, Polygon1 = polygon, n=10)
RandomSearchPlot(resultRS = Res, result = resultrect, Polygon1 = polygon, best=2)

windfarmGA 1.2

CRAN release: 2018-03-11

Parallel Processing
## Runs the same optimization, but with parallel processing and 3 cores.
result_par <- genAlgo(Polygon1 = Polygon1, GridMethod ="h", n=12, Rotor=30,
                 fcrR=5,iteration=10, vdirspe = data.in,crossPart1 = "EQU",
                 selstate="FIX",mutr=0.8, Proportionality = 1,
                 SurfaceRoughness = 0.3, topograp = FALSE,
                 elitism=TRUE, nelit = 7, trimForce = TRUE,
                 referenceHeight = 50,RotorHeight = 100,
                 Parallel = TRUE, numCluster = 3)
PlotWindfarmGA(result = result_par, GridMethod = "h", Polygon1 = Polygon1)

windfarmGA 1.1

CRAN release: 2017-07-09

Optimization with Hexagonal Grid Cells
result_hex <- genAlgo(Polygon1 = Polygon1, GridMethod ="h", n=12, Rotor=30,
                  fcrR=5,iteration=10, vdirspe = data.in,crossPart1 = "EQU",
                  selstate="FIX",mutr=0.8, Proportionality = 1,
                  SurfaceRoughness = 0.3, topograp = FALSE,
                  elitism=TRUE, nelit = 7, trimForce = TRUE,
                  referenceHeight = 50,RotorHeight = 100)
PlotWindfarmGA(result = result_hex, GridMethod = "h", Polygon1 = Polygon1)