R/reportEnergyInvestment.R
In pik-piam/remind: The REMIND R Package
Defines functions
reportEnergyInvestment
Documented in
reportEnergyInvestment
#' Read in GDX and calculate prices, used in convGDX2MIF.R for the reporting
#'
#' Read in price 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
#' @param regionSubsetList a list containing regions to create report variables region
#' aggregations. If NULL (default value) only the global region aggregation "GLO" will
#' be created.
#' @return MAgPIE object - contains the price variables
#' @author Anastasis Giannousaki
#' @seealso \code{\link{convGDX2MIF}}
#' @examples
#' \dontrun{
#' reportEnergyInvestment(gdx)
#' }
#'
#' @export
#' @importFrom magclass dimSums mbind
reportEnergyInvestment <- function(gdx, regionSubsetList = NULL) {
# read sets
adjte <- readGDX(gdx, name = c("teAdj", "adjte"), format = "first_found")
petyf <- readGDX(gdx, c("peFos", "petyf"), format = "first_found")
perenew <- readGDX(gdx, c("peRe", "perenew"), format = "first_found")
pe2se <- readGDX(gdx, name = c("pe2se"), format = "first_found")
se2fe <- readGDX(gdx, name = c("se2fe"), format = "first_found")
se2se <- readGDX(gdx, name = c("se2se"), format = "first_found")
teccs <- readGDX(gdx, name = c("teCCS", "teccs"), format = "first_found")
tenoccs <- readGDX(gdx, name = c("teNoCCS", "tenoccs"), format = "first_found")
sety <- readGDX(gdx, c("entySe", "sety"), format = "first_found")
# the set liquids changed from sepet+sedie to seLiq in REMIND 1.7. Seliq, sega and seso changed to include biomass or Fossil origin after REMIND 2.0
se_Liq <- intersect(c("seliqfos", "seliqbio", "seliq", "sepet", "sedie"), sety)
se_Gas <- intersect(c("segafos", "segabio", "sega"), sety)
se_Solids <- intersect(c("sesofos", "sesobio", "seso"), sety)
all_te <- readGDX(gdx, name = c("all_te"), format = "first_found")
tenotransform <- readGDX(gdx, c("teNoTransform", "tenotransform"), format = "first_found")
teue2rlf <- readGDX(gdx, name = c("teue2rlf", "tees2rlf"), format = "first_found")
temapall <- readGDX(gdx, name = c("en2en", "temapall"), format = "first_found")
stor <- readGDX(gdx, name = c("teStor", "stor"), format = "first_found")
grid <- readGDX(gdx, name = c("teGrid", "grid"), format = "first_found")
pebio <- readGDX(gdx, c("peBio", "pebio"), format = "first_found")
ttot <- readGDX(gdx, name = "ttot", format = "first_found")
# read variables
v_directteinv <- readGDX(gdx, name = c("v_costInvTeDir", "v_directteinv"), field = "l", format = "first_found")
v_adjustteinv <- readGDX(gdx, name = c("v_costInvTeAdj", "v_adjustteinv"), field = "l", format = "first_found")
# data preparation
ttot <- as.numeric(as.vector(readGDX(gdx, "ttot", format = "first_found")))
v_directteinv <- v_directteinv[, ttot, ]
v_adjustteinv <- v_adjustteinv[, ttot, ]
####### internal function for reporting ###########
## "ie" stands for input energy, "oe" for output energy
inv_se <- function(ie, oe, settofilter = pe2se, adjte, v_directteinv, v_adjustteinv, te = pe2se$all_te) {
if (!is.character(settofilter)) {
if (attr(settofilter, which = "gdxdata")$name %in% c("pe2se", "se2fe", "se2se", "temapall", "en2en")) {
sub1_pe2se <- settofilter[((settofilter$all_enty %in% ie) & (settofilter$all_enty1 %in% oe) & (settofilter$all_te %in% te) & !(settofilter$all_te %in% adjte)), ]
sub2_pe2se <- settofilter[((settofilter$all_enty %in% ie) & (settofilter$all_enty1 %in% oe) & (settofilter$all_te %in% te) & (settofilter$all_te %in% adjte)), ]
x1 <- dimSums(v_directteinv[, , sub1_pe2se$all_te], dim = 3) * 1000
x2 <- dimSums(v_directteinv[, , sub2_pe2se$all_te] + v_adjustteinv[, , sub2_pe2se$all_te], dim = 3) * 1000
}
} else {
sub1_pe2se <- settofilter[((settofilter %in% te) & !(settofilter %in% adjte))]
sub2_pe2se <- settofilter[((settofilter %in% te) & (settofilter %in% adjte))]
x1 <- dimSums(v_directteinv[, , sub1_pe2se], dim = 3) * 1000
x2 <- dimSums(v_directteinv[, , sub2_pe2se] + v_adjustteinv[, , sub2_pe2se], dim = 3) * 1000
}
out <- (x1 + x2)
return(out)
}
# build reporting
tmp <- NULL
tmp <- mbind(tmp, setNames(inv_se(ie = petyf, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Coal (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", te = teccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Coal|w/ CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Coal|w/o CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegas", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Gas (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegas", te = teccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Gas|w/ CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegas", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Gas|w/o CCS (billion US$2005/yr)"))
if ("h2turb" %in% all_te) {
tmp <- mbind(tmp, setNames(inv_se(ie = "seh2", oe = "seel", se2se, adjte, v_directteinv, v_adjustteinv, te = se2se$all_te), "Energy Investments|Elec|Hydrogen (billion US$2005/yr)"))
}
tmp <- mbind(tmp, setNames(inv_se(ie = "peoil", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Oil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "peoil", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Oil|w/o CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pebiolc", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Biomass (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pebiolc", te = teccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Biomass|w/ CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pebiolc", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Biomass|w/o CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "peur", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Nuclear (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pesol", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Solar (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pewin", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Wind (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pehyd", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Hydro (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegeo", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Geothermal (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = NULL, oe = NULL, stor, adjte, v_directteinv, v_adjustteinv, te = all_te), "Energy Investments|Elec|Storage (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = NULL, oe = NULL, c("tdels", "tdelt", grid), adjte, v_directteinv, v_adjustteinv, te = all_te), "Energy Investments|Elec|Grid (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty[!(pe2se$all_enty %in% petyf)], oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Non-Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty[which(pe2se$all_enty %in% perenew)][!(pe2se$all_enty[which(pe2se$all_enty %in% perenew)] %in% pebio)], oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Non-Bio Re (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty, oe = "seh2", pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = "seel", oe = "seh2", se2se, adjte, v_directteinv, v_adjustteinv, te = se2se$all_te)
+ inv_se(ie = "seh2", oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te), "Energy Investments|Hydrogen (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = petyf, oe = "seh2", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Hydrogen|Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = perenew, oe = "seh2", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Hydrogen|RE (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "seel", oe = "seh2", se2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Hydrogen|Electrolysis (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "seh2", oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te), "Energy Investments|Hydrogen|Transmission and Distribution (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty, oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "peoil", oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Oil Ref (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = petyf, oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Fossil|w/ oil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = "pegas", oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = perenew, oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Bio (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = se2se$all_enty, oe = "seel", se2se, adjte, v_directteinv, v_adjustteinv, te = se2se$all_te)
+ inv_se(ie = NULL, oe = NULL, c("tdels", "tdelt", tenotransform), adjte, v_directteinv, v_adjustteinv, te = all_te)), "Energy Investments|Electricity (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(v_directteinv[, , "ccsinje"] + v_adjustteinv[, , "ccsinje"], "Energy Investments|CO2 Trans&Stor (billion US$2005/yr)") * 1000)
tmp <- mbind(tmp, setNames(dimSums(v_directteinv[, , teue2rlf$all_te] + v_adjustteinv[, , teue2rlf$all_te], dim = 3), "Energy Investments|Demand (billion US$2005/yr)") * 1000)
tmp <- mbind(tmp, setNames((inv_se(ie = temapall$all_enty, oe = temapall$all_enty1, temapall[!(temapall$all_te %in% teue2rlf$all_te), ], adjte, v_directteinv, v_adjustteinv, te = all_te)
+ inv_se(ie = NULL, oe = NULL, tenotransform, adjte, v_directteinv, v_adjustteinv, te = all_te)), "Energy Investments|Supply (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = se_Solids, pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = se_Solids, oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te)), "Energy Investments|Solids (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = se_Gas, pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = se_Gas, oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te)), "Energy Investments|Gases (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = "sehe", pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = "sehe", oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te)), "Energy Investments|Heat (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((tmp[, , "Energy Investments|Supply (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Electricity (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Hydrogen (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Liquids (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Heat (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Gases (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Solids (billion US$2005/yr)"]
- tmp[, , "Energy Investments|CO2 Trans&Stor (billion US$2005/yr)"]), "Energy Investments|Other (billion US$2005/yr)"))
# add global values
tmp <- mbind(tmp, dimSums(tmp, dim = 1))
# add other region aggregations
if (!is.null(regionSubsetList))
tmp <- mbind(tmp, calc_regionSubset_sums(tmp, regionSubsetList))
return(tmp)
}
pik-piam/remind documentation built on Sept. 9, 2021, 1:09 p.m.
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Defines functions reportEnergyInvestment
Documented in reportEnergyInvestment
#' Read in GDX and calculate prices, used in convGDX2MIF.R for the reporting
#'
#' Read in price 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
#' @param regionSubsetList a list containing regions to create report variables region
#' aggregations. If NULL (default value) only the global region aggregation "GLO" will
#' be created.
#' @return MAgPIE object - contains the price variables
#' @author Anastasis Giannousaki
#' @seealso \code{\link{convGDX2MIF}}
#' @examples
#' \dontrun{
#' reportEnergyInvestment(gdx)
#' }
#'
#' @export
#' @importFrom magclass dimSums mbind
reportEnergyInvestment <- function(gdx, regionSubsetList = NULL) {
# read sets
adjte <- readGDX(gdx, name = c("teAdj", "adjte"), format = "first_found")
petyf <- readGDX(gdx, c("peFos", "petyf"), format = "first_found")
perenew <- readGDX(gdx, c("peRe", "perenew"), format = "first_found")
pe2se <- readGDX(gdx, name = c("pe2se"), format = "first_found")
se2fe <- readGDX(gdx, name = c("se2fe"), format = "first_found")
se2se <- readGDX(gdx, name = c("se2se"), format = "first_found")
teccs <- readGDX(gdx, name = c("teCCS", "teccs"), format = "first_found")
tenoccs <- readGDX(gdx, name = c("teNoCCS", "tenoccs"), format = "first_found")
sety <- readGDX(gdx, c("entySe", "sety"), format = "first_found")
# the set liquids changed from sepet+sedie to seLiq in REMIND 1.7. Seliq, sega and seso changed to include biomass or Fossil origin after REMIND 2.0
se_Liq <- intersect(c("seliqfos", "seliqbio", "seliq", "sepet", "sedie"), sety)
se_Gas <- intersect(c("segafos", "segabio", "sega"), sety)
se_Solids <- intersect(c("sesofos", "sesobio", "seso"), sety)
all_te <- readGDX(gdx, name = c("all_te"), format = "first_found")
tenotransform <- readGDX(gdx, c("teNoTransform", "tenotransform"), format = "first_found")
teue2rlf <- readGDX(gdx, name = c("teue2rlf", "tees2rlf"), format = "first_found")
temapall <- readGDX(gdx, name = c("en2en", "temapall"), format = "first_found")
stor <- readGDX(gdx, name = c("teStor", "stor"), format = "first_found")
grid <- readGDX(gdx, name = c("teGrid", "grid"), format = "first_found")
pebio <- readGDX(gdx, c("peBio", "pebio"), format = "first_found")
ttot <- readGDX(gdx, name = "ttot", format = "first_found")
# read variables
v_directteinv <- readGDX(gdx, name = c("v_costInvTeDir", "v_directteinv"), field = "l", format = "first_found")
v_adjustteinv <- readGDX(gdx, name = c("v_costInvTeAdj", "v_adjustteinv"), field = "l", format = "first_found")
# data preparation
ttot <- as.numeric(as.vector(readGDX(gdx, "ttot", format = "first_found")))
v_directteinv <- v_directteinv[, ttot, ]
v_adjustteinv <- v_adjustteinv[, ttot, ]
####### internal function for reporting ###########
## "ie" stands for input energy, "oe" for output energy
inv_se <- function(ie, oe, settofilter = pe2se, adjte, v_directteinv, v_adjustteinv, te = pe2se$all_te) {
if (!is.character(settofilter)) {
if (attr(settofilter, which = "gdxdata")$name %in% c("pe2se", "se2fe", "se2se", "temapall", "en2en")) {
sub1_pe2se <- settofilter[((settofilter$all_enty %in% ie) & (settofilter$all_enty1 %in% oe) & (settofilter$all_te %in% te) & !(settofilter$all_te %in% adjte)), ]
sub2_pe2se <- settofilter[((settofilter$all_enty %in% ie) & (settofilter$all_enty1 %in% oe) & (settofilter$all_te %in% te) & (settofilter$all_te %in% adjte)), ]
x1 <- dimSums(v_directteinv[, , sub1_pe2se$all_te], dim = 3) * 1000
x2 <- dimSums(v_directteinv[, , sub2_pe2se$all_te] + v_adjustteinv[, , sub2_pe2se$all_te], dim = 3) * 1000
}
} else {
sub1_pe2se <- settofilter[((settofilter %in% te) & !(settofilter %in% adjte))]
sub2_pe2se <- settofilter[((settofilter %in% te) & (settofilter %in% adjte))]
x1 <- dimSums(v_directteinv[, , sub1_pe2se], dim = 3) * 1000
x2 <- dimSums(v_directteinv[, , sub2_pe2se] + v_adjustteinv[, , sub2_pe2se], dim = 3) * 1000
}
out <- (x1 + x2)
return(out)
}
# build reporting
tmp <- NULL
tmp <- mbind(tmp, setNames(inv_se(ie = petyf, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Coal (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", te = teccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Coal|w/ CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Coal|w/o CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegas", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Gas (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegas", te = teccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Gas|w/ CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegas", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Gas|w/o CCS (billion US$2005/yr)"))
if ("h2turb" %in% all_te) {
tmp <- mbind(tmp, setNames(inv_se(ie = "seh2", oe = "seel", se2se, adjte, v_directteinv, v_adjustteinv, te = se2se$all_te), "Energy Investments|Elec|Hydrogen (billion US$2005/yr)"))
}
tmp <- mbind(tmp, setNames(inv_se(ie = "peoil", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Oil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "peoil", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Oil|w/o CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pebiolc", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Biomass (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pebiolc", te = teccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Biomass|w/ CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pebiolc", te = tenoccs, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Biomass|w/o CCS (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "peur", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Nuclear (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pesol", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Solar (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pewin", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Wind (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pehyd", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Hydro (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pegeo", oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Geothermal (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = NULL, oe = NULL, stor, adjte, v_directteinv, v_adjustteinv, te = all_te), "Energy Investments|Elec|Storage (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = NULL, oe = NULL, c("tdels", "tdelt", grid), adjte, v_directteinv, v_adjustteinv, te = all_te), "Energy Investments|Elec|Grid (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty[!(pe2se$all_enty %in% petyf)], oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Non-Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty[which(pe2se$all_enty %in% perenew)][!(pe2se$all_enty[which(pe2se$all_enty %in% perenew)] %in% pebio)], oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Elec|Non-Bio Re (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty, oe = "seh2", pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = "seel", oe = "seh2", se2se, adjte, v_directteinv, v_adjustteinv, te = se2se$all_te)
+ inv_se(ie = "seh2", oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te), "Energy Investments|Hydrogen (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = petyf, oe = "seh2", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Hydrogen|Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = perenew, oe = "seh2", pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Hydrogen|RE (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "seel", oe = "seh2", se2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Hydrogen|Electrolysis (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "seh2", oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te), "Energy Investments|Hydrogen|Transmission and Distribution (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = pe2se$all_enty, oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "peoil", oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Oil Ref (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = petyf, oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Fossil|w/ oil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = "pecoal", oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = "pegas", oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Fossil (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(inv_se(ie = perenew, oe = se_Liq, pe2se, adjte, v_directteinv, v_adjustteinv), "Energy Investments|Liquids|Bio (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = "seel", pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = se2se$all_enty, oe = "seel", se2se, adjte, v_directteinv, v_adjustteinv, te = se2se$all_te)
+ inv_se(ie = NULL, oe = NULL, c("tdels", "tdelt", tenotransform), adjte, v_directteinv, v_adjustteinv, te = all_te)), "Energy Investments|Electricity (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames(v_directteinv[, , "ccsinje"] + v_adjustteinv[, , "ccsinje"], "Energy Investments|CO2 Trans&Stor (billion US$2005/yr)") * 1000)
tmp <- mbind(tmp, setNames(dimSums(v_directteinv[, , teue2rlf$all_te] + v_adjustteinv[, , teue2rlf$all_te], dim = 3), "Energy Investments|Demand (billion US$2005/yr)") * 1000)
tmp <- mbind(tmp, setNames((inv_se(ie = temapall$all_enty, oe = temapall$all_enty1, temapall[!(temapall$all_te %in% teue2rlf$all_te), ], adjte, v_directteinv, v_adjustteinv, te = all_te)
+ inv_se(ie = NULL, oe = NULL, tenotransform, adjte, v_directteinv, v_adjustteinv, te = all_te)), "Energy Investments|Supply (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = se_Solids, pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = se_Solids, oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te)), "Energy Investments|Solids (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = se_Gas, pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = se_Gas, oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te)), "Energy Investments|Gases (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((inv_se(ie = pe2se$all_enty, oe = "sehe", pe2se, adjte, v_directteinv, v_adjustteinv)
+ inv_se(ie = "sehe", oe = se2fe$all_enty1, se2fe, adjte, v_directteinv, v_adjustteinv, te = se2fe$all_te)), "Energy Investments|Heat (billion US$2005/yr)"))
tmp <- mbind(tmp, setNames((tmp[, , "Energy Investments|Supply (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Electricity (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Hydrogen (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Liquids (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Heat (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Gases (billion US$2005/yr)"]
- tmp[, , "Energy Investments|Solids (billion US$2005/yr)"]
- tmp[, , "Energy Investments|CO2 Trans&Stor (billion US$2005/yr)"]), "Energy Investments|Other (billion US$2005/yr)"))
# add global values
tmp <- mbind(tmp, dimSums(tmp, dim = 1))
# add other region aggregations
if (!is.null(regionSubsetList))
tmp <- mbind(tmp, calc_regionSubset_sums(tmp, regionSubsetList))
return(tmp)
}
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