windfarmGA (version 2.3.0)

turbine_influences: 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

A numeric value indicating the angle, at which no wake influences are considered. Default is 20 degrees.

dist

A numeric value indicating the distance, after which the wake effects are considered to be eliminated. Default is 100km.

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(), get_dist_angles()

Examples

# NOT RUN {
library(sp)
library(raster)
## Exemplary input Polygon with 2km x 2km:
polYgon <- Polygon(rbind(c(0, 0), c(0, 2000),
c(2000, 2000), c(2000, 0)))
polYgon <- Polygons(list(polYgon), 1)
polYgon <- SpatialPolygons(list(polYgon))
Projection <- "+init=epsg:3035"
proj4string(polYgon) <- CRS(Projection)

t <- as.matrix(cbind(x = runif(10, 0, extent(polYgon)[2]),
     y = runif(10, 0, extent(polYgon)[4])))
wnkl <- 20
dist <- 100000
dirct <- 0

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

# }