CST_WindPowerDensity: Wind power density on s2dv_cube objects

In CSIndicators: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions

Wind power density on s2dv_cube objects

Description

Wind Power Density computes the wind power that is available for extraction per square meter of swept area.

It is computed as 0.5*ro*wspd^3. As this function is non-linear, it will give inaccurate results if used with period means.

Usage

CST_WindPowerDensity(
  wind,
  ro = 1.225,
  start = NULL,
  end = NULL,
  time_dim = "time",
  ncores = NULL
)

Arguments

wind	An 's2dv_cube' object with instantaneous wind speeds expressed in m/s obtained from CST_Start or s2dv_cube functions from CSTools pacakge.
ro	A scalar, or alternatively a multidimensional array with the same dimensions as wind, with the air density expressed in kg/m^3. By default it takes the value 1.225, the standard density of air at 15ºC and 1013.25 hPa.
start	An optional parameter to defined the initial date of the period to select from the data by providing a list of two elements: the initial date of the period and the initial month of the period. By default it is set to NULL and the indicator is computed using all the data provided in data.
end	An optional parameter to defined the final date of the period to select from the data by providing a list of two elements: the final day of the period and the final month of the period. By default it is set to NULL and the indicator is computed using all the data provided in data.
time_dim	A character string indicating the name of the dimension to compute the indicator. By default, it is set to 'time'. More than one dimension name matching the dimensions provided in the object data$data can be specified.
ncores	An integer indicating the number of cores to use in parallel computation for temporal subsetting.

Value

An s2dv_cube object containing Wind Power Density expressed in W/m^2.

Author(s)

Llorenç Lledó, [e-mail]

Examples

wind <- NULL
wind$data <- array(rweibull(n = 100, shape = 2, scale = 6), 
                  c(member = 5, sdate = 3, time = 214, lon = 2, lat = 5))
wind$coords <- list(lat =  c(40, 41), lon = 1:5)
variable <- list(varName = 'sfcWind', 
                metadata = list(sfcWind = list(level = 'Surface')))
wind$attrs <- list(Variable = variable, Datasets = 'synthetic', 
                  when = Sys.time(), Dates = '1990-01-01 00:00:00')
Dates <- c(seq(as.Date("01-05-2000", format = "%d-%m-%Y"), 
                        as.Date("30-11-2000", format = "%d-%m-%Y"), by = 'day'),
                    seq(as.Date("01-05-2001", format = "%d-%m-%Y"), 
                        as.Date("30-11-2001", format = "%d-%m-%Y"), by = 'day'),
                    seq(as.Date("01-05-2002", format = "%d-%m-%Y"), 
                        as.Date("30-11-2002", format = "%d-%m-%Y"), by = 'day'))
dim(Dates) <- c(sdate = 3, time = 214)
wind$attrs$Dates <- Dates
class(wind) <- 's2dv_cube'
WPD <- CST_WindPowerDensity(wind, start = list(21, 4), 
                           end = list(21, 6))

CSIndicators documentation built on Nov. 20, 2023, 5:07 p.m.