#' Read in GDX and report the max availability factor per hour (for nonRES), used in convGDX2MIF.R for the reporting
#'
#' Read in max availability factors per hour (for nonRES) information from GDX file, information used in convGDX2MIF.R
#' for the reporting
#'
#'
#' @param gdx a GDX object as created by readGDX, or the path to a gdx
#' @return MAgPIE object - contains the max availability factors per hour (for nonRES)
#' @author Sebastian Osorio, Renato Rodrigues
#' @seealso \code{\link{convGDX2MIF}}
#' @examples
#'
#' \dontrun{reportHourAvFactor(gdx)}
#'
#' @importFrom gdx readGDX
#' @importFrom magclass mbind setNames
#' @export
#'
reportHourAvFactor <- function(gdx) {
# read set of technologies
p_tedata <- readGDX(gdx,name="p_tedata",field="l",format="first_found") #technology data
te <- readGDX(gdx,name="te") #set of generation technologies
ter <- readGDX(gdx,name="ter") #set of variable renewable generation technologies
# create MagPie object of demand with iso3 regions
p_tedata <- limesMapping(p_tedata)
#single technologies
tmp1 <- NULL
#adding the name of the variable and the technology
for (te2 in te) {
if(te2 != "hvacline" & sum(which(as.vector(ter)==te2))==0) #ignoring the transmission data
tmp1 <- mbind(tmp1,setNames(p_tedata[,,paste0("nu.",te2)],paste0("Max availability factor per hour|",te2,"(--)")))
}
#allocating the years
tmp1 <- limesAllocateYears(tmp1,gdx)
#aggregated technologies
tmp2 <- NULL
# add global values
tmp <- mbind(tmp1,tmp2)
return(tmp)
}
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