turbine_influences: Find potentially influencing turbines

In 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, area, dirct, plot_angles = FALSE)

Arguments

t	A data.frame of the current individual with X and Y coordinates
wnkl	Wake opening angle in degrees. Turbines outside this cone are ignored.
dist	A numeric value indicating the distance, after which the wake effects are considered to be eliminated.
area	Site polygon
dirct	Current wind direction
plot_angles	Plot distances and angles

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)

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

res <- turbine_influences(t, wnkl, dist, area, dirct, plot_angles = TRUE)

windfarmGA documentation built on Sept. 14, 2026, 9:08 a.m.