turbine_influences: Find potentially influencing turbines

In YsoSirius/windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

Find potentially influencing turbines

Description

Find all turbines that could potentially influence another turbine and save them to a list.

Usage

turbine_influences(t, wnkl, dist, polYgon, dirct, plotAngles = FALSE)

Arguments

t	A data.frame of the current individual with X and Y coordinates
wnkl	The angle from which wake influences are considered to be negligible
dist	A numeric value indicating the distance, after which the wake effects are considered to be eliminated.
polYgon	A shapefile representing the considered area
dirct	A numeric value indicating the current wind direction
plotAngles	A logical variable, which is used to plot the distances and angles. Default is FALSE

Value

Returns a list of all individuals of the current generation which could potentially influence other turbines. List includes the relevant coordinates, the distances and angles in between and assigns the Point ID.

See Also

Other Wind Energy Calculation Functions: barometric_height(), calculate_energy(), circle_intersection(), get_dist_angles()

Examples

## Exemplary input Polygon with 2km x 2km:
library(sf)

Polygon1 <- sf::st_as_sf(sf::st_sfc(
  sf::st_polygon(list(cbind(
    c(0, 0, 2000, 2000, 0),
    c(0, 2000, 2000, 0, 0)
  ))),
  crs = 3035
))

t <- st_coordinates(st_sample(Polygon1, 10))
t <- cbind(t, "Z" = 1)
wnkl <- 20
dist <- 100000
dirct <- 0

res <- turbine_influences(t, wnkl, dist, Polygon1, dirct, plotAngles = TRUE)

YsoSirius/windfarmGA documentation built on March 13, 2024, 8:37 a.m.