#' Read in GDX and report the annual availability factor (for nonRES), used in convGDX2MIF.R for the reporting
#'
#' Read in annual availability factors (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 annual availability factors (for nonRES)
#' @author Sebastian Osorio, Renato Rodrigues
#' @seealso \code{\link{convGDX2MIF}}
#' @examples
#'
#' \dontrun{reportAnnualAvFactor(gdx)}
#'
#' @importFrom gdx readGDX
#' @importFrom magclass mbind setNames
#' @export
#'
reportAnnualAvFactor <- 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")
ter <- readGDX(gdx,name="ter")
# 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("nu2.",te2)],paste0("Annual availability factor|",te2,"(--)")))
#}
#
##allocating the years
#tmp1 <- limesAllocateYears(tmp1,gdx)
#aggregated technologies
tmp2 <- NULL
# add global values
tmp <- mbind(tmp1,tmp2)
return(tmp)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.