loadFactor: Load factors of clusters

In antaresProcessing: 'Antares' Results Processing

Load factors of clusters

Description

This function computes the load factor and other related statistics for cluster of a study.

Usage

loadFactor(
  x,
  timeStep = "annual",
  synthesis = FALSE,
  clusterDesc = NULL,
  loadFactorAvailable = FALSE,
  opts = NULL
)

Arguments

x	Object of class antaresData created with function readAntares. It must contain hourly detailed results for clusters and has to contain the columns minGenModulation.
timeStep	Desired time step for the result.
synthesis	If TRUE, average surpluses are returned. Else the function returns surpluses per Monte-Carlo scenario.
clusterDesc	A table created with the function readClusterDesc. If is this parameter is set to NULL (the default), then the function attempts to read the needed data in the same study as x.
loadFactorAvailable	Should loadFactorAvailable be added to the result?
opts	opts where clusterDesc will be read if null based on data

Value

a data.table of class antaresDataTablecontaining the following columns:

area	Area name
cluster	Cluster name
mcYear	Only if synthesis=FALSE. Id of the Monte-carlo scenario
timeId	Time id and other time variables
loadFactor	Load factor of the cluster. It represent the proportion of the installed capacity of a cluster that is effectively generate Formula: production / (unitcount * nominalcapacity)

#'

loadFactorAvailable	Load factor of the cluster. It represent the proportion of the capacity available of a cluster that is effectively generate Formula: production / thermalAvailability
propHoursMinGen	Proportion of hours when production is positive and all units of a cluster are either off, either producing at their minimum. This situation occurs when units are kept producing above the optimal level to avoid future startup costs or to satisfy the constraints generated by parameters "Min. up Time" or "Min gen. modulation". Formula: mean(1 if production > 0 and production = max(min.stable.power * unitcount, minGenModulation * nominalcapacity * unitcount) else 0)
propHoursMaxGen	Proportion of hours when all units started produce at their maximal capacity. Formula: mean(1 if production > 0 and production = NODU * nominalcapacity * (1 - spinning / 100))

Examples

## Not run: 
# data required by the function
showAliases("loadfactor")

mydata <- readAntares(select = "loadfactor")
loadFactor(mydata, synthesis = TRUE)

## End(Not run)

antaresProcessing documentation built on June 25, 2024, 5:07 p.m.