R/reportEmi.R
In pik-piam/remind: The REMIND R Package
Defines functions
reportEmi
Documented in
reportEmi
#' Read in GDX and calculate emissions, used in convGDX2MIF.R for the
#' reporting
#'
#' Read in emission information from GDX file, information used in
#' convGDX2MIF.R for the reporting
#'
#'
#' @param gdx a GDX as created by readGDX, or the file name of a gdx
#' @param output a magpie object containing all needed variables generated by other report*.R functions
#' @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.
#' @author Jessica Strefler, Lavinia Baumstark, Michaja Pehl
#' @examples
#'
#' \dontrun{reportEmi(gdx)}
#' @export
#' @importFrom gdx readGDX
#' @importFrom magclass getNames<- getYears collapseNames mbind getYears
#' new.magpie getRegions setYears dimSums mselect replace_non_finite
#' @importFrom dplyr inner_join select filter group_by summarise ungroup mutate
#' as_tibble rename
#' @importFrom tidyr complete nesting unite matches
#' @importFrom quitte as.quitte character.data.frame
#' @importFrom rlang .data
#' @importFrom madrat toolNAreplace
reportEmi <- function(gdx, output=NULL, regionSubsetList=NULL){
if(is.null(output)){
output <- reportFE(gdx,regionSubsetList = NULL)["GLO",,invert = T]
} else {
output <- output[c("GLO",names(regionSubsetList)),,invert = T]
}
####### conversion factors ##########
s_GWP_CH4 <- readGDX(gdx,c("sm_gwpCH4","s_gwpCH4","s_GWP_CH4"),format="first_found", react = "silent")
s_GWP_N2O <- readGDX(gdx,c("s_gwpN2O","s_GWP_N2O"),format="first_found")
pm_conv_TWa_EJ <- 31.536
TWa_2_EJ <- 31.536
GtC_2_MtCO2 <- 44 / 12 * 1000
####### read in needed data #########
module2realisation <- readGDX(gdx, "module2realisation")
rownames(module2realisation) <- module2realisation$modules
ppfen_stat <- readGDX(gdx, c("ppfen_stationary_dyn38",
"ppfen_stationary_dyn28",
"ppfen_stationary"),
format = "first_found", react = "silent")
# Realisation of the different modules
if ( !is.null(module2realisation)
& (!"CES_structure" %in% module2realisation[,1])) {
stat_mod = module2realisation['stationary' == module2realisation$modules,2]
tran_mod = module2realisation['transport' == module2realisation$modules,2]
indu_mod = module2realisation['industry' == module2realisation$modules,2]
buil_mod = module2realisation['buildings' == module2realisation$modules,2]
} else {
# In case the set module2realisation did not exist, find out whether it was
# stationary or buildings-industry
if (!is.null(ppfen_stat)) {
stat_mod = "simple"
indu_mod = "off"
buil_mod = "off"
tran_mod = "complex"
} else {
stat_mod = "off"
indu_mod = "fixed_shares"
buil_mod = "simple"
tran_mod = "complex"
}
}
## switches
cm_emiscen <- readGDX(gdx,"cm_emiscen")
## sets
pebio <- readGDX(gdx,c("peBio","pebio"),format="first_found")
emi2te <- readGDX(gdx,"emi2te")
cintbyfuel <- readGDX(gdx,c("emi2fuelMine","cintbyfuel"),format="first_found")
pe2se <- readGDX(gdx,"pe2se")
se2se <- readGDX(gdx, "se2se")
se2fe <- readGDX(gdx,"se2fe")
fe2ue <- readGDX(gdx, c("fe2ue", "fe2es"),format="first_found")
fety <- readGDX(gdx,c("entyFe","fety"),format="first_found")
sety <- readGDX(gdx,c("entySe","sety"),format="first_found")
pety <- readGDX(gdx,c("entyPe","pety"),format="first_found")
oc2te <- readGDX(gdx,c("pc2te","oc2te"),format="first_found")
teccs <- readGDX(gdx,c("teCCS","teccs"),format="first_found")
tebio <- readGDX(gdx,c("teBio"),format="first_found")
peFos <- readGDX(gdx,c("peFos"),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)
FE_Liq <- intersect(c("fehos","fehob","fehoi","fepet","fedie","feliq"),fety)
FE_Ga <- intersect(c("fegas","fegab","fegai","fegat"),fety)
FE_H2 <- intersect(c("feh2s","feh2b","feh2i","feh2t"),fety)
FE_So <- intersect(c("fesos","fesob","fesoi"),fety)
FE_He <- intersect(c("fehes","feheb","fehei"),fety)
FE_El <- intersect(c("feels","feeli","feelb","feelt"),fety)
FE_Stat_fety <- c("fegas", "fehos", "fesos", "feh2s", "fehes", "feels")
FE_Transp_fety35 <- readGDX(gdx,"FE_Transp_fety35")
emismacmagpiech4 <- readGDX(gdx,c("emiMacMagpieCH4","emismacmagpiech4"),format="first_found")
emismacmagpien2o <- readGDX(gdx,c("emiMacMagpieN2O","emismacmagpien2o"),format="first_found")
emiMacExoCH4 <- readGDX(gdx,c("emiMacExoCH4"),format="first_found")
emiMacExoN2O <- readGDX(gdx,c("emiMacExoN2O"),format="first_found")
## parameter or variable - see next lines
p_emi_fgas <- readGDX(gdx,c("pm_emiFgas","p_emiFgas","p_emi_fgas"),format="first_found", react = "silent")
#LB# if old names are used rename set elements
if (is.element("Emissions|F-Gases",magclass::getNames(p_emi_fgas))) {
magclass::getNames(p_emi_fgas) <- gsub("\\|","_", magclass::getNames(p_emi_fgas))
oldNames <- c("Emissions_F-Gases","Emissions_PFC","Emissions_CF4","Emissions_C2F6","Emissions_C6F14","Emissions_HFC_HFC23","Emissions_HFC_HFC32",
"Emissions_HFC_HFC43-10","Emissions_HFC_HFC125","Emissions_HFC_HFC134a","Emissions_HFC_HFC143a","Emissions_HFC_HFC227ea","Emissions_HFC_HFC245fa","Emissions_SF6","Emissions_HFC")
newNames <- c("emiFgasTotal","emiFgasPFC","emiFgasCF4","emiFgasC2F6","emiFgasC6F14","emiFgasHFC23","emiFgasHFC32","emiFgasHFC43-10","emiFgasHFC125",
"emiFgasHFC134a","emiFgasHFC143a","emiFgasHFC227ea","emiFgasHFC245fa","emiFgasSF6","emiFgasHFC")
for( i in 1:length(oldNames)) {
magclass::getNames(p_emi_fgas) <- gsub(oldNames[i],newNames[i], magclass::getNames(p_emi_fgas))
}
}
if(is.null(p_emi_fgas)){p_emi_fgas <- readGDX(gdx,name="vm_emiFgas",field="l",restore_zeros=FALSE)}
# p11_emi_aerosol <- readGDX(gdx,"p11_emi_aerosol")
pm_emi_limits_wp4 <- readGDX(gdx,c("p11_emi_limits_wp4", "pm_emi_limits_wp4"),format="first_found", react = "silent")
pm_limits_wp4_rcp <- readGDX(gdx,"pm_limits_wp4_rcp",restore_zeros=FALSE, react = "silent")
p_cint <- readGDX(gdx, c("pm_cint","p_cint") ,format="first_found", react = "silent")
p_share_seel_s <- readGDX(gdx, "p_share_seel_s")
p_share_seh2_s <- readGDX(gdx, "p_share_seh2_s")
p_share_seliq_s <- readGDX(gdx, "p_share_seliq_s")
p_ef_dem <- readGDX(gdx, "p_ef_dem")
## temporary workaround to test reverted emission factors for the AR6 reporting
p_ef_dem[,, "fedie"] = 69.3;
p_ef_dem[,, "fehos"] = 69.3;
p_ef_dem[,, "fepet"] = 68.5;
p_ef_dem[,, "fegas"] = 50.3;
p_ef_dem[,, "fegat"] = 50.3;
p_ef_dem[,, "fesos"] = 90.5;
p_bioshare <- readGDX(gdx, "p_bioshare")
ppfen_stat <- readGDX(gdx,c("ppfen_stationary_dyn38","ppfen_stationary_dyn28","ppfen_stationary"),format="first_found", react = "silent")
pm_ts <- readGDX(gdx,"pm_ts")
o37_emiInd <- readGDX(gdx, "o37_emiInd", restore_zeros = FALSE,
react = "silent")
o37_cementProcessEmissions <- readGDX(gdx, "o37_cementProcessEmissions",
restore_zeros = FALSE,
react = "silent")
o37_cementProcessEmissions[is.na(o37_cementProcessEmissions)] <- 0
p_eta_conv <- readGDX(gdx, c("pm_eta_conv","p_eta_conv"), restore_zeros = FALSE,format="first_found")
dataoc_tmp <- readGDX(gdx,c("pm_prodCouple","p_prodCouple","p_dataoc"),restore_zeros=FALSE,format="first_found")
dataoc_tmp[is.na(dataoc_tmp)] <- 0
#### adjust regional dimension of dataoc
dataoc <- new.magpie(getRegions(p_eta_conv),getYears(dataoc_tmp),magclass::getNames(dataoc_tmp),fill=0)
dataoc[getRegions(dataoc_tmp),,] <- dataoc_tmp
getSets(dataoc) <- getSets(dataoc_tmp)
####### fix negative values to 0 ##################
dataoc[dataoc<0] <- 0
oc2te <- readGDX(gdx,c("pc2te","oc2te"),format="first_found")
## variables
v_emi <- readGDX(gdx, name = c("vm_emiTeDetail", "v_emiTeDetail", "v_emi"),
field = "l", restore_zeros = FALSE, format = "first_found",
react = "silent")
vm_co2capture <- readGDX(gdx,name=c("vm_co2capture","vm_co2CCS","v_co2CCS","v_ccs"),field="l",restore_zeros=FALSE,format="first_found")
vm_co2CCS <- readGDX(gdx,name=c("vm_co2CCS","v_co2CCS","v_ccs"),field="l",restore_zeros=FALSE,format="first_found")
vm_emiengregi <- readGDX(gdx,name=c("vm_emiTe","vm_emiengregi"),field="l",format="first_found")
vm_eminegregi <- readGDX(gdx,name=c("vm_emiMacSector","vm_eminegregi"),field="l",format="first_found")
vm_emicdrregi <- readGDX(gdx,name=c("vm_emiCdr","vm_emicdrregi"),field="l",format="first_found")
vm_co2CCUshort <- readGDX(gdx,name=c("vm_co2CCUshort"),field="l",restore_zeros=FALSE,format="first_found")
v33_emiEW <- readGDX(gdx,name=c("v33_emiEW"),field="l",format="first_found",react="silent")
v33_emiDAC <- readGDX(gdx,name=c("v33_emiDAC"),field="l",format="first_found",react="silent")
vm_sumeminegregi <- readGDX(gdx,name=c("vm_emiMac","vm_sumeminegregi"),field="l",format="first_found")
vm_fuelex <- readGDX(gdx, name = c("vm_fuExtr","vm_fuelex", "vm_fuelextmp"), field="l",format = "first_found")
vm_prodSE <- readGDX(gdx,name=c("vm_prodSe","v_seprod"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_prodSE <- vm_prodSE[rbind(pe2se,se2se)]
vm_prodFe <- readGDX(gdx,name=c("vm_prodFe","v_feprod","vm_feprod"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_prodFe <- vm_prodFe[se2fe]
vm_demFe <- readGDX(gdx,name=c("v_demFe","vm_demFe"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_demFe <- vm_demFe[fe2ue]
vm_demFeForEs <- readGDX(gdx,name = c("vm_demFeForEs"), field="l", restore_zeros=FALSE,format= "first_found",react = "silent") * pm_conv_TWa_EJ
vm_demSe <- readGDX(gdx,name=c("vm_demSe","v_demSe","v_sedem","vm_sedem"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_demSe <- vm_demSe[se2fe]
v_co2eq <- readGDX(gdx,name=c("vm_co2eq","v_co2eq"),field="l",format="first_found")
vm_perm <- readGDX(gdx,name=c("vm_perm"),field="l",format="first_found")
vm_cesIO <- readGDX(gdx,"vm_cesIO",field="l",format="first_found") * pm_conv_TWa_EJ
vm_macBase <- readGDX(gdx, "vm_macBase", field = "l",
restore_zeros = FALSE)
vm_macBaseInd <- readGDX(gdx, c('vm_macBaseInd', "v37_macBaseInd"), field = "l", format = "first_found")
vm_emiIndCCS <- readGDX(gdx, 'vm_emiIndCCS', field = 'l', format = 'first_found')
v37_emiIndCCSmax <- readGDX(gdx, 'v37_emiIndCCSmax', field = 'l',
react = 'silent')
if (!is.null(v37_emiIndCCSmax))
getSets(v37_emiIndCCSmax) <- sub('all_enty', 'emiInd37',
getSets(v37_emiIndCCSmax))
pm_macSwitch <- readGDX(gdx, "pm_macSwitch", field = "l",format="first_found")
pm_macAbatLev <- readGDX(gdx, "pm_macAbatLev", field = "l",format="first_found")
####### calculate minimal temporal resolution #####
y <- Reduce(intersect,list(getYears(v_emi),getYears(vm_emiengregi),getYears(vm_eminegregi),getYears(vm_emicdrregi),getYears(vm_co2capture),getYears(vm_co2CCS),getYears(vm_sumeminegregi),getYears(vm_fuelex)))
v_emi <- v_emi[,y,]
vm_emiengregi <- vm_emiengregi[,y,]
vm_eminegregi <- vm_eminegregi[,y,]
vm_emicdrregi <- vm_emicdrregi[,y,]
vm_co2capture <- vm_co2capture[,y,]
vm_co2CCS <- vm_co2CCS[,y,]
vm_prodSE <- vm_prodSE[,y,]
if(!is.null(v33_emiEW)) {
v33_emiEW <- v33_emiEW[,y,]
getNames(v33_emiEW) <- "emiEW"
} else {
v33_emiEW <- new.magpie(getRegions(v_emi),getYears(v_emi),"emiEW",fill=0)
}
if(!is.null(v33_emiDAC)) {
v33_emiDAC <- v33_emiDAC[,y,]
getNames(v33_emiDAC) <- "emiDAC"
} else {
v33_emiDAC <- new.magpie(getRegions(v_emi),getYears(v_emi),"emiDAC",fill=0)
}
if(!is.null(vm_co2CCUshort)) {
if(dim(vm_co2CCUshort)[1]==0) {
vm_co2CCUshort <- new.magpie(getRegions(v_emi),getYears(v_emi),"cco2.co2CCUshort.h22ch4.1",fill=0)
} else {
vm_co2CCUshort <- vm_co2CCUshort[,y,]
}
} else{
vm_co2CCUshort <- new.magpie(getRegions(v_emi),getYears(v_emi),"cco2.co2CCUshort.h22ch4.1",fill=0)
}
vm_sumeminegregi <- vm_sumeminegregi[,y,]
vm_macBase <- vm_macBase[,y,]
vm_fuelex <- vm_fuelex[,y,]
# Patch to force dimension match between all_enty columns
getSets(vm_fuelex)[3] <- colnames(cintbyfuel)[2]
p_share_seel_s <- p_share_seel_s[,y,]
p_share_seh2_s <- p_share_seh2_s[,y,]
p_share_seliq_s <- p_share_seliq_s[,y,]
p_eta_conv <- p_eta_conv[,y,]
v_co2eq <- v_co2eq[,y,]
v_co2eq <- v_co2eq[,y,]
vm_perm <- vm_perm[,y,]
p_bioshare <- p_bioshare[,y,]
p_emi_fgas <- p_emi_fgas[,y,]
vm_cesIO <- vm_cesIO[,y,]
vm_macBaseInd <- vm_macBaseInd[,y,]
pm_macAbatLev <- pm_macAbatLev[,y,]
emiInd37 <- readGDX(gdx,c("emiInd37"),format="first_found")
secInd37 <- readGDX(gdx,c("secInd37"),format="first_found")
secInd37_2_emiInd37 <- readGDX(gdx,c("secInd37_2_emiInd37"),format="first_found")
# pm_macSwitch <- mselect(pm_macSwitch,all_enty = emiInd37)
# vm_macBaseIndRed <- collapseNames(mselect(vm_macBaseInd,all_enty = "fegas",secInd37 = secInd37_2_emiInd37$secInd37))
# a <- dimSums(na.rm=TRUE,x=vm_macBaseIndRed[,,] * setNames(pm_macSwitch[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37) * setNames(pm_macAbatLev[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37),3)
#
#set calculation
pe2se_bioCCS <- pe2se[pe2se$all_te %in% intersect(tebio, teccs),]
pe2se_noBioCCS <- pe2se[!pe2se$all_te %in% intersect(tebio, teccs),]
oc2te <- oc2te[!((oc2te$all_te=="gaschp" & (oc2te$all_enty2 %in% se_Gas))|
(oc2te$all_te=="refped" & oc2te$all_enty2=="seel")|
(oc2te$all_te=="refpet" & oc2te$all_enty2=="sehe")|
(oc2te$all_te=="refdip" & oc2te$all_enty2=="seel")|
(oc2te$all_te=="refdip" & oc2te$all_enty2=="sehe")|
(oc2te$all_te=="gash2" & (oc2te$all_enty2 %in% se_Gas))|
(oc2te$all_te=="gash2c" & (oc2te$all_enty2 %in% se_Gas))),]
# ---- expand v_emi to include regions w/o data (for testOneRegi) ----
v_emi <- v_emi %>%
as.data.frame() %>%
select(-!!sym('Cell')) %>%
unite('data', matches('^Data[0-9]$'), sep = '.') %>%
complete(!!sym('Region') := as.character(readGDX(gdx, 'regi')),
nesting(!!sym('Year'), !!sym('data'))) %>%
rename(!!sym(names(attr(v_emi, 'dimnames'))[1]) := !!sym('Region'),
!!sym(names(attr(v_emi, 'dimnames'))[2]) := !!sym('Year'),
!!sym(names(attr(v_emi, 'dimnames'))[3]) := !!sym('data')) %>%
as.magpie(tidy = TRUE, replacement = ".")
###### Compute share parameter
if (is.null(ppfen_stat)){
p_share_feels_b <- setNames(collapseNames(output[,y,"FE|Buildings|Electricity (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Electricity (EJ/yr)"]),
"feels")
p_share_feels_i <- 1 - p_share_feels_b
p_share_fehos_b <- setNames(collapseNames(output[,y,"FE|Buildings|Liquids (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Liquids (EJ/yr)"]),
"fehos")
p_share_fehos_i <- 1 - p_share_fehos_b
p_share_fegas_b <- setNames(collapseNames(output[,y,"FE|Buildings|Gases (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Gases (EJ/yr)"]),
"fegas")
p_share_fegas_i <- 1 - p_share_fegas_b
p_share_fehes_b <- setNames(
collapseNames(
output[,y,"FE|Buildings|Heat (EJ/yr)"]
/ output[,y,"FE|Buildings and Industry|Heat (EJ/yr)"]
),
"fehes")
p_share_fehes_i <- 1 - p_share_fehes_b
p_share_fehes_b <- replace_non_finite(p_share_fehes_b, 0)
p_share_fehes_i <- replace_non_finite(p_share_fehes_i, 0)
p_share_feh2s_b <- setNames(collapseNames(output[,y,"FE|Buildings|Hydrogen (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Hydrogen (EJ/yr)"]),
"feh2s")
p_share_feh2s_i <- 1 - p_share_feh2s_b
p_share_fesos_b <- setNames(collapseNames(output[,y,"FE|Buildings|Solids (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Solids (EJ/yr)"]),
"fesos")
p_share_fesos_i <- 1 - p_share_fesos_b
p_share_fety_b <- mbind(p_share_feels_b,p_share_fehos_b,p_share_fegas_b,p_share_fehes_b,p_share_feh2s_b,p_share_fesos_b)
p_share_fety_i <- mbind(p_share_feels_i,p_share_fehos_i,p_share_fegas_i,p_share_fehes_i,p_share_feh2s_i,p_share_fesos_i)
}
p_share_seel_t <- collapseNames(output[,y,"FE|Transport|Electricity (EJ/yr)"] / output[,y,"FE|+|Electricity (EJ/yr)"])
p_share_seh2_t <- collapseNames(output[,y,"FE|Transport|Hydrogen (EJ/yr)"] / output[,y,"FE|+|Hydrogen (EJ/yr)"])
p_share_seliq_t <- collapseNames(output[,y,"FE|Transport|Liquids (EJ/yr)"] / output[,y,"FE|+|Liquids (EJ/yr)"])
p_share_segas_t <- collapseNames(output[,y,"FE|Transport|Gases (EJ/yr)"] / output[,y,"FE|+|Gases (EJ/yr)"])
if (tran_mod == "complex"){
p35_share_seel_t_ldv <- collapseNames(output[,y,"FE|Transport|Pass|Road|LDV|Electricity (EJ/yr)"] / output[,y,"FE|+|Electricity (EJ/yr)"])
p35_share_seh2_t_ldv <- collapseNames(output[,y,"FE|Transport|Pass|Road|LDV|Hydrogen (EJ/yr)"] / output[,y,"FE|+|Hydrogen (EJ/yr)"])
p35_share_seliq_t_ldv <- collapseNames(output[,y,"FE|Transport|Pass|Road|LDV|Liquids (EJ/yr)"] / output[,y,"FE|+|Liquids (EJ/yr)"])
}else if(tran_mod == "edge_esm"){
## Liquids
p35_share_feliq_lo <- collapseNames((output[,y,"FE|Transport|Freight|Long distance|Diesel Liquids (EJ/yr)"] +
output[,y,"FE|Transport|Pass|Long distance|Diesel Liquids (EJ/yr)"]) /
output[,y,"FE|Transport|Liquids (EJ/yr)"])
p35_share_seliq_psm <- collapseNames((output[,y,"FE|Transport|Pass|Short-Medium distance|Diesel Liquids (EJ/yr)"] +
output[,y,"FE|Transport|Pass|Short-Medium distance|Petrol Liquids (EJ/yr)"]) /
output[,y,"FE|+|Liquids (EJ/yr)"])
p35_share_seliq_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Diesel Liquids (EJ/yr)"] / output[,y,"FE|+|Liquids (EJ/yr)"])
p35_share_seliq_pl <- collapseNames((output[,y,"FE|Transport|Pass|Long distance|Diesel Liquids (EJ/yr)"]) /
output[,y,"FE|+|Liquids (EJ/yr)"])
p35_share_seliq_fl <- collapseNames((output[,y,"FE|Transport|Freight|Long distance|Diesel Liquids (EJ/yr)"]) /
output[,y,"FE|+|Liquids (EJ/yr)"])
## Electricity
p35_share_seel_psm <- collapseNames(output[,y,"FE|Transport|Pass|Short-Medium distance|Electricity (EJ/yr)"] /
output[,y,"FE|+|Electricity (EJ/yr)"])
p35_share_seel_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Electricity (EJ/yr)"] /
output[,y,"FE|+|Electricity (EJ/yr)"])
## Hydrogen
p35_share_seh2_psm <- collapseNames(output[,y,"FE|Transport|Pass|Short-Medium distance|Hydrogen (EJ/yr)"] /
output[,y,"FE|+|Hydrogen (EJ/yr)"])
p35_share_seh2_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Hydrogen (EJ/yr)"] /
output[,y,"FE|+|Hydrogen (EJ/yr)"])
## Nat. Gas
p35_share_sega_psm <- collapseNames(output[,y,"FE|Transport|Pass|Short-Medium distance|Gases (EJ/yr)"] /
output[,y,"FE|+|Gases (EJ/yr)"])
p35_share_sega_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Gases (EJ/yr)"] /
output[,y,"FE|+|Gases (EJ/yr)"])
}
# Share of captured carbon, that is actually sequestered. The introduction
# of CCU made it necessary to add the "slack" variable v_co2capturevalve,
# that allows for immediate releasing
p_share_carbonCapture_stor <- (
vm_co2CCS[,,"cco2.ico2.ccsinje.1"]
/ dimSums(mselect(vm_co2capture, all_enty = "cco2"), dim = 3)
)
p_share_carbonCapture_stor[is.na(p_share_carbonCapture_stor)] <- 1
####### internal function for cumulated values ############
cumulatedValue <- function(var,i_pm_ts=pm_ts){
ts <- i_pm_ts[,getYears(var),]
tmp <- new.magpie(getRegions(var),getYears(var),magclass::getNames(var),fill=0)
for( t in 2:length(getYears(var))){
tmp[,t,] <- setYears(
dimSums(na.rm=TRUE,x=var[,which(getYears(var) < getYears(var)[t]),] * ts[,which(getYears(var) < getYears(var)[t]),],dim=2)
- setYears(var[,2005,] * ts[,2005,], NULL) / 2 # half of 2005 time step
+ setYears(var[,t ,] * ts[,t ,], NULL) / 2 # half of last time step
, NULL)
}
return(tmp)
}
# emi_carrier(v_emi,dataoc,oc2te,sety,pety,"seel","co2",44/12*1000,te=pe2se$all_te, name="Emissions|CO2|Energy|Supply|Electricity (Mt CO2/yr)"),
####### internal function for reporting of coupled production PE2SE ########### secarrier is the primary SE for which the analysis is performed
emi_carrier <- function(v_emi,dataoc,oc2te,sety,pecarrier,secarrier,emity,factor,te=pe2se$all_te,name=NULL){
x1 <- NULL
x2 <- NULL
x3 <- NULL
## all emissions with secarrier as a main product
x1 <- dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty=pecarrier,all_enty1=secarrier,all_te=te,all_enty2=emity),dim=3)
## negative term for couple products by technologies with secarrier as a main product
## identify all techs with secarrier as a main product, create corresponding map for v_emi domain
sub_oc2te_secarMain <- oc2te[(oc2te$all_enty %in% pecarrier) & (oc2te$all_enty1 %in% secarrier) & (oc2te$all_enty2 %in% sety) & (oc2te$all_te %in% te),]
subEmi_oc2te_secarMain <- sub_oc2te_secarMain
if(length(row.names(subEmi_oc2te_secarMain))!=0){
subEmi_oc2te_secarMain$all_enty2 <- emity # replace the couple product column with emission column to fit the v_emi structure
x2 <- dimSums(na.rm=TRUE,x=collapseNames(v_emi[subEmi_oc2te_secarMain],collapsedim=3.4)*collapseNames(dataoc[sub_oc2te_secarMain]/(1+dataoc[sub_oc2te_secarMain]),collapsedim=3.4),dim=3)
}else{
x2 <- new.magpie(getRegions(x1),getYears(x1),magclass::getNames(x1),fill = 0)
}
## additional term for technologies with secarrier as a couple product
## identify all techs with secarrier as a couple product, create corresponding map for v_emi domain
sub_oc2te_secarCP <- oc2te[(oc2te$all_enty %in% pecarrier) & (oc2te$all_enty1 %in% sety) & (oc2te$all_enty2 %in% secarrier) & (oc2te$all_te %in% te),]
subEmi_oc2te_secarCP <- sub_oc2te_secarCP
if(length(row.names(subEmi_oc2te_secarCP))!=0){
subEmi_oc2te_secarCP$all_enty2 <- emity
x3 <- dimSums(na.rm=TRUE,x=collapseNames(v_emi[subEmi_oc2te_secarCP],3.4)*collapseNames(dataoc[sub_oc2te_secarCP]/(1+dataoc[sub_oc2te_secarCP]),collapsedim=3.4),dim=3)
}else{
x3 <- new.magpie(getRegions(x1),getYears(x1),magclass::getNames(x1),fill = 0)
}
out <- (x1-x2+x3)*factor
if(!is.null(name)) magclass::getNames(out) <- name
return(out)
}
####### calculate reporting parameters ############
### CO2 ###
tmp <- NULL
tmp <- mbind(
### please note: at the end of this file, regional CO2 emissions are reduced by bunker emission values emissions are reduced by bunker emission values
setNames((vm_emiengregi[,,"co2"] + vm_sumeminegregi[,,"co2"] + vm_emicdrregi[,,"co2"]) * GtC_2_MtCO2, "Emi|CO2 (Mt CO2/yr)"),
setNames((vm_co2CCS[,,"cco2.ico2.ccsinje.1"]) * GtC_2_MtCO2, "Emi|CO2|Carbon Capture and Storage (Mt CO2/yr)"),
setNames((dimSums(mselect(vm_co2capture,all_enty="cco2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Carbon Capture (Mt CO2/yr)"),
# does not containt the IndustryCCS applied to Biogas, Biosolids, Bioliquids ...
setNames(
dimSums(mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"), dim = 3)
* dimSums(p_share_carbonCapture_stor)
* GtC_2_MtCO2,
"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"
),
setNames((dimSums(mselect(v_emi,all_enty=peFos,all_enty2="cco2"),dim=3)) * p_share_carbonCapture_stor * GtC_2_MtCO2, "Emi|CO2|Carbon Capture and Storage|Fossil|Pe2Se (Mt CO2/yr)"),
setNames((dimSums(mselect(v_emi,all_enty1="seel",all_enty2="co2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Electricity Production|w/o couple prod (Mt CO2/yr)"), ## does not account for couple production
setNames((dimSums(mselect(v_emi,all_enty1="seh2",all_enty2="co2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Hydrogen Production|w/o couple prod (Mt CO2/yr)"), ## does not account for couple production
setNames((dimSums(mselect(v_emi,all_enty1="sehe",all_enty2="co2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Heat Production|w/o couple prod (Mt CO2/yr)"), ## does not account for couple production
# CO2 emissions from CHP are split joule-by-joule between electricity and
# heat
setNames(
( v_emi[,,'pecoal.seel.coalchp.co2']
/ (1 + dataoc[,,'pecoal.seel.coalchp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Electricity|Coal|CHP|w/o CCS (MtCO2/yr)'),
setNames(
( v_emi[,,'pecoal.seel.coalchp.co2']
* dataoc[,,'pecoal.seel.coalchp.sehe']
/ (1 + dataoc[,,'pecoal.seel.coalchp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Heat|Coal|CHP|w/o CCS (MtCO2/yr)'),
setNames(
( v_emi[,,'pegas.seel.gaschp.co2']
/ (1 + dataoc[,,'pegas.seel.gaschp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Electricity|Gas|CHP|w/o CCS (MtCO2/yr)'),
setNames(
( v_emi[,,'pegas.seel.gaschp.co2']
* dataoc[,,'pegas.seel.gaschp.sehe']
/ (1 + dataoc[,,'pegas.seel.gaschp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Heat|Gas|CHP|w/o CCS (MtCO2/yr)'),
### please note: at the end of this file, regional FFI emissions are reduced by bunker emission values emissions are reduced by bunker emission values
setNames((vm_emiengregi[,,"co2"] + vm_eminegregi[,,"co2cement_process"]) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"),
setNames((vm_eminegregi[,,"co2cement_process"]) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Cement process (Mt CO2/yr)"),
setNames((dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty="peoil",all_enty2="co2")[emi2te],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(p_cint,all_enty="co2",all_enty1="peoil")[cintbyfuel]
* vm_fuelex[,,"peoil"][cintbyfuel], dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Oil|Before IndustryCCS (Mt CO2/yr)"),
setNames((dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty="pegas", all_enty2="co2")[emi2te],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(p_cint,all_enty="co2",all_enty1="pegas")[cintbyfuel]
* vm_fuelex[,,"pegas"][cintbyfuel], dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Gas|Before IndustryCCS (Mt CO2/yr)"),
setNames((dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty="pecoal", all_enty2="co2")[emi2te],dim=3) +
+ dimSums(na.rm=TRUE,x=mselect(p_cint,all_enty="co2",all_enty1="pecoal")[cintbyfuel]
* vm_fuelex[,,"pecoal"][cintbyfuel], dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Coal|Before IndustryCCS (Mt CO2/yr)"),
### please note: at the end of this file, regional FFI demand emissions are reduced by bunker emission values
setNames(
dimSums(
( p_ef_dem[,,fety]
* (1 - p_bioshare[,,fety])
)
* dimSums(mselect(vm_prodFe, all_enty1 = fety), dim = c(3.1, 3.3),na.rm=TRUE)
, dim = 3,na.rm=TRUE),
"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)"),
### please note: at the end of this file, regional Gross FFI emissions are reduced by bunker emission values
setNames((vm_emiengregi[,,"co2"] + vm_eminegregi[,,"co2cement_process"]) * GtC_2_MtCO2
+ (dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty=pebio,all_enty2="cco2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"),
setNames((vm_eminegregi[,,"co2luc"] ) * GtC_2_MtCO2, "Emi|CO2|Land-Use Change (Mt CO2/yr)")
)
# Emissions by PE and carrier, use function "emi_carrier" declared above ############################################################################
tmp <- mbind(tmp,
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,"seel","cco2",GtC_2_MtCO2,pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,se_Liq,"cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,"seh2","cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,"sehe","cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,se_Gas,"cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,"seel","co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,"sehe","co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,"seh2","co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,se_Liq,"co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,se_Gas,"co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,se_Solids,"co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)")
)
### in case of synfuel production -> add CO2 flows into synfuels to liquids and gases supply&demand emissions
### synfuel emissions are not accounted in emissions factors, but in vm_co2CCUshort.
if ( "CCU" %in% module2realisation[,1]) {
if (module2realisation["CCU",2] == "on") {
p39_co2_dem <- readGDX(gdx, "p39_co2_dem",restore_zeros = F)
p39_co2_dem <- dimReduce(p39_co2_dem[,"y2030",]) # only take one year for now
# calculate CO2 needed for synfuel production
tmp <- mbind(tmp,
setNames(p39_co2_dem[,,"MeOH"] * vm_prodSE[,,"MeOH"] * GtC_2_MtCO2 / pm_conv_TWa_EJ,
"Carbon Management|CCU|Liquids (Mt CO2/yr)"),
setNames(p39_co2_dem[,,"h22ch4"] * vm_prodSE[,,"h22ch4"] * GtC_2_MtCO2 / pm_conv_TWa_EJ,
"Carbon Management|CCU|Gases (Mt CO2/yr)"))
## add to respective total energy emissions emissions
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] <-
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Carbon Management|CCU|Liquids (Mt CO2/yr)"]
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] <-
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Carbon Management|CCU|Gases (Mt CO2/yr)"]
}
}
tmp <- mbind(tmp,
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Energy|Supply|Electricity|Gross (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|w/ couple prod (Mt CO2/yr)"
)
)
### Industry CCS emissions ##########################################################################################
# for debugging purposes
# vm_macBaseIndRed <- collapseNames(mselect(vm_macBaseInd,all_enty = "fegas",secInd37 = secInd37_2_emiInd37$secInd37))
# a <- dimSums(na.rm=TRUE,x=vm_macBaseIndRed[,,] * setNames(pm_macSwitch[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37) * setNames(pm_macAbatLev[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37),3)
if (is.null(v37_emiIndCCSmax)) { # if not enough data for calculation
tmp2 <- new.magpie(
cells_and_regions = getRegions(tmp),
years = getYears(tmp),
names = c(
paste0('Emi|CO2|Carbon Capture and Storage|IndustryCCS|',
c('fesos', 'fehos', 'fegas'), ' (Mt CO2/yr)'),
'Emi|CO2|Carbon Capture and Storage|IndustryCCS|Process (Mt CO2/yr)'),
fill = 0)
} else {
tmp2 <- vm_macBaseInd %>% # baseline emissions from fuel burning
as.quitte() %>%
select(.data$period, .data$region, .data$all_enty, .data$secInd37,
.data$value) %>%
# does NOT account for process emissions!
filter(.data$all_enty %in% fety) %>%
rename(fety = .data$all_enty) %>%
character.data.frame() %>%
# link emissions emiInd37 to industry sector secInd37
inner_join(
secInd37_2_emiInd37 %>%
filter('co2cement_process' != emiInd37),
'secInd37'
) %>%
# Industry MAC is on or off?
inner_join(
pm_macSwitch %>%
as.quitte() %>%
select(emiInd37 = .data$all_enty, pm_macSwitch = .data$value) %>%
filter(.data$emiInd37 %in% secInd37_2_emiInd37$emiInd37) %>%
mutate(emiInd37 = as.character(.data$emiInd37)),
'emiInd37'
) %>%
inner_join(
# abatement level of industry sector MAC at current CO2 price
pm_macAbatLev %>%
as.quitte() %>%
select(.data$period, .data$region, emiInd37 = .data$all_enty,
pm_macAbatLev = .data$value) %>%
filter(emiInd37 %in% secInd37_2_emiInd37$emiInd37) %>%
mutate(emiInd37 = as.character(.data$emiInd37),
region = as.character(.data$region)),
c('period', 'region', 'emiInd37')
) %>%
inner_join(
inner_join(
vm_emiIndCCS %>%
as.quitte() %>%
select(.data$period, .data$region, .data$all_enty,
vm_emiIndCCS = .data$value),
v37_emiIndCCSmax %>%
as.quitte() %>%
select(.data$period, .data$region, .data$emiInd37,
v37_emiIndCCSmax = .data$value),
c('period', 'region', 'all_enty' = 'emiInd37')
) %>%
mutate(slack = ifelse(.data$v37_emiIndCCSmax,
.data$vm_emiIndCCS / .data$v37_emiIndCCSmax, 0),
region = as.character(.data$region),
emiInd37 = as.character(.data$all_enty)) %>%
select(.data$period, .data$region, .data$emiInd37, .data$slack),
c('period', 'region', 'emiInd37')
) %>%
as_tibble() %>%
group_by(.data$period, .data$region, .data$fety) %>%
summarise(
value = sum(.data$value * .data$pm_macSwitch * .data$pm_macAbatLev * .data$slack)) %>%
ungroup() %>%
mutate(
value = .data$value * GtC_2_MtCO2,
model = NA,
scenario = NA,
variable = paste0('Emi|CO2|Carbon Capture and Storage|IndustryCCS|',
.data$fety, ' (Mt CO2/yr)')) %>%
select(.data$model, .data$scenario, .data$region, .data$variable,
.data$period, .data$value) %>%
as.quitte() %>%
as.magpie()
dimnames(tmp2) <- setNames(dimnames(tmp2), names(dimnames(tmp)))
# add cement process emissions
tmp2 <- mbind(
tmp2,
o37_cementProcessEmissions %>%
as.quitte() %>%
mutate(region = as.character(.data$region)) %>%
inner_join(
inner_join(
vm_emiIndCCS %>%
as.quitte() %>%
filter('co2cement' == .data$all_enty,
.data$period %in% as.numeric(sub('^y', '', y))) %>%
select(.data$period, .data$region, vm_emiIndCCS = .data$value),
v37_emiIndCCSmax %>%
as.quitte() %>%
filter('co2cement' == .data$emiInd37,
.data$period %in% as.numeric(sub('^y', '', y))) %>%
select(.data$period, .data$region, v37_emiIndCCSmax = .data$value),
c('period', 'region')
) %>%
mutate(slack = ifelse(.data$v37_emiIndCCSmax,
.data$vm_emiIndCCS / .data$v37_emiIndCCSmax, 0),
region = as.character(.data$region)) %>%
select(.data$period, .data$region, .data$slack),
c('period', 'region')
) %>%
inner_join(
pm_macSwitch %>%
as.quitte() %>%
filter('co2cement_process' == .data$all_enty) %>%
select(pm_macSwitch = .data$value) %>%
mutate(period = 0) %>%
complete(nesting(pm_macSwitch),
period = as.numeric(sub('^y', '', y))),
'period'
) %>%
inner_join(
# abatement level of industry sector MAC at current CO2 price
pm_macAbatLev %>%
as.quitte() %>%
filter('co2cement' == .data$all_enty) %>%
select(.data$period, .data$region, pm_macAbatLev = .data$value) %>%
mutate(region = as.character(.data$region)),
c('period', 'region')
) %>%
group_by(.data$period, .data$region) %>%
summarise(value = sum( .data$value
* .data$pm_macSwitch
* .data$pm_macAbatLev
* .data$slack)
* GtC_2_MtCO2) %>%
ungroup() %>%
as.quitte() %>%
as.magpie() %>%
setNames(
'Emi|CO2|Carbon Capture and Storage|IndustryCCS|Process (Mt CO2/yr)'))
}
tmp2 <- mbind(
tmp2,
setNames(
tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"]
+ tmp2[,,'Emi|CO2|Carbon Capture and Storage|IndustryCCS|Process (Mt CO2/yr)'],
"Emi|CO2|Carbon Capture and Storage|IndustryCCS (Mt CO2/yr)")
)
tmp2 <- mbind(
tmp2,
setNames(
tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)")
)
# Rename all "Carbon Capture and Storage|IndustryCCS" to just
# "Carbon Capture|IndustryCCS" and calculate actual
# "Carbon Capture and Storage|IndustryCCS" by taking account of carbon
# captured, but not sequestered, through v_co2capturevalve
tmp2 <- mbind(
lapply(
sub(paste0('^Emi\\|CO2\\|Carbon Capture and Storage\\|IndustryCCS',
'(\\|?.*) \\(Mt CO2/yr\\)$'), '\\1', getNames(tmp2)),
function(x) {
a <- paste0('Emi|CO2|Carbon Capture and Storage|IndustryCCS', x,
' (Mt CO2/yr)')
b <- paste0('Emi|CO2|Carbon Capture|IndustryCCS', x, ' (Mt CO2/yr)')
mbind(
setNames(tmp2[,,a] * dimSums(p_share_carbonCapture_stor, dim = 3), a),
setNames(tmp2[,,a], b)
)
}
)
)
tmp <- mbind(tmp, tmp2)
rm(tmp2)
### please note: at the end of this file, regional FFI demand emissions are reduced by bunker emission values
# this variable should now only include energy demand emissions
tmp <- mbind(
tmp,
setNames(
tmp[,,"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(
tmp[,,"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)"]
- (vm_eminegregi[,,"co2cement_process"] * GtC_2_MtCO2),
"Emi|CO2|Fossil Fuels and Industry|Energy Supply (Mt CO2/yr)"
),
# setNames( vm_emiengregi[,,"co2"] * GtC_2_MtCO2
# - dimSums(na.rm=TRUE,x= (p_ef_dem[,,fety]*(1-p_bioshare[,,fety]))
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=fety),dim=c(3.1,3.3))
# ,dim=3) , "Emi|CO2|Fossil Fuels and Industry|Energy Supply|Before IndustryCCS (Mt CO2/yr)"),
setNames( tmp[,,"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"],
"Emi|CO2|FFaI|Emi to which CO2tax is applied (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames( ( p_bioshare[,,"fegas"] * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ p_bioshare[,,"fesos"] * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ p_bioshare[,,"fehos"] * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"]),
"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"),
setNames( ( (1-p_bioshare[,,"fegas"]) * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ (1-p_bioshare[,,"fesos"]) * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ (1-p_bioshare[,,"fehos"]) * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"]),
"Emi|CO2|Carbon Capture and Storage|Fossil|Energy|Demand|Industry (Mt CO2/yr)")
)
# Direct emissions by final energy carrier ############################################################################
tmp <- mbind(tmp,
setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_Ga] * (1 - p_bioshare[,,FE_Ga]) # biomass is valued at 0 for Demand emissions
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_Ga),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Gases|Before IndustryCCS (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_Liq] * (1 - p_bioshare[,,FE_Liq]) # biomass is valued at 0 for Demand emissions
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_Liq),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Liquids|Before IndustryCCS (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_So] * (1 - p_bioshare[,,FE_So]) # biomass is valued at 0 for Demand emissions
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_So),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Solids|Before IndustryCCS (Mt CO2/yr)")
# setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_He] * (1 - p_bioshare[,,FE_He]) # biomass is valued at 0 for Demand emissions
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_He),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Heat (Mt CO2/yr)"),
# setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_H2] * (1 - p_bioshare[,,FE_H2]) # biomass is valued at 0 for Demand emissions
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_H2),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|H2 (Mt CO2/yr)"),
# setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_El] * (1 - p_bioshare[,,FE_El]) # biomass is valued at 0 for Demand emissions
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_El),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Electricity (Mt CO2/yr)")
#
)
# Direct emissions by final energy carrier, after industryCCS ############################################################################
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Demand|Gases|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand|Gases|After IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Demand|Liquids|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand|Liquids|After IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Demand|Solids|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand|Solids|After IndustryCCS (Mt CO2/yr)")
)
# Indirect/Supply emissions by final energy carrier, after industryCCS ############################################################################
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Energy|Demand|Gases|Before IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Energy|Demand|Liquids|Before IndustryCCS (Mt CO2/yr)"] ,
"Emi|CO2|Energy|Supply|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Energy|Demand|Solids|Before IndustryCCS (Mt CO2/yr)"] ,
"Emi|CO2|Energy|Supply|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames((p_share_seel_s * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p_share_seh2_s * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p_share_seliq_s * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Solids,all_enty2="co2")[pe2se],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="sehe",all_enty2="co2")[pe2se],dim=3)
+ vm_eminegregi[,,"co2cement_process"]
) * GtC_2_MtCO2, "Emi|CO2|Other Sector|Direct and Indirect|w/o couple prod (Mt CO2/yr)"), # sectoral emissions (couple production is not considered)
setNames((p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"]
+ p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"]
+ p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ 1 * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ 1 * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ 1 * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"]
+ vm_eminegregi[,,"co2cement_process"]
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS (Mt CO2/yr)"]
), "Emi|CO2|Other Sector|Direct and Indirect|w/ couple prod (Mt CO2/yr)"), # sectoral emissions including couple production
setNames( dimSums(na.rm=TRUE,x= (p_ef_dem[,,FE_Stat_fety]*(1-p_bioshare[,,FE_Stat_fety]))
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_Stat_fety),dim=c(3.1,3.3))
,dim=3) , "Emi|CO2|Other Sector|Direct (Mt CO2/yr)"),
### please note: at the end of this file, regional transport emissions are reduced by bunker emission values
setNames(( p_share_seel_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p_share_seh2_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p_share_seliq_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
+ p_share_segas_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Transport|w/o couple prod (Mt CO2/yr)"),# sectoral emissions (couple production is not considered)
setNames(( p_share_seel_t * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"]
+ p_share_seh2_t * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"]
+ p_share_seliq_t * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ p_share_segas_t * tmp[,,"Emi|CO2|Energy|Supply|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
), "Emi|CO2|Transport|w/ couple prod (Mt CO2/yr)"),
### please note: at the end of this file, regional transport emissions are reduced by bunker emission values
setNames( dimSums(na.rm=TRUE, (p_ef_dem[,,FE_Transp_fety35]*(1-p_bioshare[,,FE_Transp_fety35]))
* dimSums(na.rm=TRUE,mselect(vm_prodFe,all_enty1=FE_Transp_fety35),dim=c(3.1,3.3))
,dim=3) , "Emi|CO2|Transport|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE, p_ef_dem[,,FE_Transp_fety35]
* dimSums(na.rm=TRUE,mselect(vm_prodFe,all_enty1=FE_Transp_fety35),dim=c(3.1,3.3))
,dim=3) , "Emi|CO2|Transport|Tailpipe (Mt CO2/yr)")
)
## Add some LDV specific emission reporting (complex module only)
if(tran_mod == "complex"){
LDV35 <- readGDX(gdx,"LDV35")
tmp <- mbind(
tmp,
setNames(( p35_share_seel_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seh2_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seliq_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Road|LDV (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35][fe2ue]
* dimSums(na.rm=TRUE,mselect(vm_demFe,all_enty=FE_Transp_fety35,all_te=LDV35),dim=c(3.2,3.3))[fe2ue]
,dim=3) , "Emi|CO2|Transport|Pass|Road|LDV|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35][fe2ue]*(1-p_bioshare[,,FE_Transp_fety35])[fe2ue]
* dimSums(na.rm=TRUE,mselect(vm_demFe,all_enty=FE_Transp_fety35,all_te=LDV35),dim=c(3.2,3.3))[fe2ue]
,dim=3) , "Emi|CO2|Transport|Pass|Road|LDV|Demand (Mt CO2/yr)"),
setNames( p35_share_seel_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Road|LDV|Electricity (Mt CO2/yr)"),
setNames( p35_share_seh2_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Road|LDV|Hydrogen (Mt CO2/yr)")
)
}else if(tran_mod == "edge_esm"){
fe2es_dyn35 <- readGDX(gdx,c("fe2es_dyn35"), format = "first_found")
vm_demFeForEs_trnsp = vm_demFeForEs[fe2es_dyn35]
## Emission shares for technologies
tmp <- mbind(
tmp,
## Full Emissions (including upstream!)
setNames(p35_share_seel_psm * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Electricity (Mt CO2/yr)"),
setNames(p35_share_seh2_psm * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Hydrogen (Mt CO2/yr)"),
setNames(p35_share_seliq_psm * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_seliq_fsm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Freight|Short-Medium Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_seliq_pl * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Long Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_seliq_fl * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Freight|Long Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_sega_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Gases (Mt CO2/yr)"),
setNames((p35_share_seel_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seh2_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seliq_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
+ p35_share_sega_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance (Mt CO2/yr)"),
## Demand Side Emissions
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35]*(1-p_bioshare[,,FE_Transp_fety35]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_sm", pmatch=T], dim=c(3.2, 3.3))[,,FE_Transp_fety35], dim=3), "Emi|CO2|Transport|Pass|Short-Medium Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,c("fedie", "feelt", "fegat")]*(1-p_bioshare[,,c("fedie", "feelt", "fegat")]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_sm", pmatch=T], dim=c(3.2, 3.3))[,,c("fedie", "feelt", "fegat")], dim=3), "Emi|CO2|Transport|Freight|Short-Medium Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"]*(1-p_bioshare[,,"fedie"]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Pass|Long Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"]*(1-p_bioshare[,,"fedie"]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Freight|Long Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_sm", pmatch=T], dim=c(3.2, 3.3))[,,FE_Transp_fety35], dim=3), "Emi|CO2|Transport|Pass|Short-Medium Distance|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,c("fedie", "feelt", "fegat")] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_sm", pmatch=T], dim=c(3.2, 3.3))[,,c("fedie", "feelt", "fegat")], dim=3), "Emi|CO2|Transport|Freight|Short-Medium Distance|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Pass|Long Distance|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Freight|Long Distance|Tailpipe (Mt CO2/yr)"))
}
### total energy supply and energy demand emissions
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Demand|Gases|After IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Demand|Liquids|After IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Demand|Solids|After IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand (Mt CO2/yr)"))
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply (Mt CO2/yr)"))
### CDR/CCU emissions ##########################################################################################
### moved here to include industry CCS
# calculate CCU/CDR share parameters
### share of captured carbon that is biogenic
# technology (pe2se technology cco2 + industry cco2 biomass)/captured co2
p_share_cco2_bio <- (
(dimSums(v_emi[,,pebio][,,"cco2"], dim=3) +
collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]/
GtC_2_MtCO2))/
vm_co2capture)
p_share_cco2_bio[is.na(p_share_cco2_bio)] <- 0
# share of captured carbon from pe2se technologies
p_share_cco2_pe2se <- collapseNames(dimSums(v_emi[,,][,,"cco2"], dim=3)/
vm_co2capture)
p_share_cco2_pe2se[is.na(p_share_cco2_pe2se)] <- 0
#share of biogenic captured carbon from pe2se technologies
p_share_cco2_bio_pe2se <- collapseNames(dimSums(v_emi[,,pebio][,,"cco2"], dim=3)/
vm_co2capture)
p_share_cco2_bio_pe2se[is.na(p_share_cco2_bio_pe2se)] <- 0
# share of captured carbon from DAC
p_share_cco2_DAC <- replace_non_finite(-v33_emiDAC / vm_co2capture)
# share of captured carbon from industry
p_share_cco2_ind <- dimSums(vm_emiIndCCS[,y,], dim=3) / vm_co2capture
p_share_cco2_ind[is.na(p_share_cco2_ind)] <- 0
# share of captured fossil carbon from industry
p_share_cco2_ind_fos <- (dimSums(vm_emiIndCCS[,y,], dim=3)-tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]/
GtC_2_MtCO2) / vm_co2capture
p_share_cco2_ind_fos[is.na(p_share_cco2_ind_fos)] <- 0
# LUC CDR, report only negative values of CO2 LUC as CDR
CDRco2luc <- new.magpie(getRegions(vm_eminegregi),getYears(vm_eminegregi),magclass::getNames(vm_eminegregi),fill=0)
CDRco2luc <- vm_eminegregi
CDRco2luc[CDRco2luc>0] <- 0
tmp <- mbind(
tmp,
setNames(
CDRco2luc[,,"co2luc"] * GtC_2_MtCO2,
"Emi|CO2|CDR|Land-Use Change (Mt CO2/yr)"),
# bioenergy carbon capture: pe2se technology cco2 + industry cco2 biomass
setNames(
(dimSums(mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"), dim = 3)
* GtC_2_MtCO2
+ collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]))*(-1),
"Emi|CO2|BECC (Mt CO2/yr)"),
# bioenergy carbon capture: pe2se technology cco2 + industry cco2 biomass
setNames(
(dimSums(mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"), dim = 3)
* GtC_2_MtCO2
+ collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]))
* p_share_carbonCapture_stor
* (-1),
"Emi|CO2|CDR|BECCS (Mt CO2/yr)"),
setNames(v33_emiEW[,,"emiEW"] * GtC_2_MtCO2, "Emi|CO2|CDR|EW (Mt CO2/yr)"),
setNames(v33_emiDAC[,,"emiDAC"] * GtC_2_MtCO2, "Emi|CO2|DAC (Mt CO2/yr)"),
setNames(
v33_emiDAC[,,"emiDAC"]
* p_share_carbonCapture_stor
* GtC_2_MtCO2,
"Emi|CO2|CDR|DACCS (Mt CO2/yr)"),
setNames(
v33_emiDAC[,,"emiDAC"] * GtC_2_MtCO2 * (-1),
"Carbon Sequestration|Direct Air Capture (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(
( v33_emiEW[,,"emiEW"]
+ ( ( v33_emiDAC[,,"emiDAC"]
- dimSums(
mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"),
dim = 3)
- collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]/
GtC_2_MtCO2)
)
* p_share_carbonCapture_stor
)
+ CDRco2luc[,,"co2luc"]
)
* GtC_2_MtCO2,
"Emi|CO2|CDR (Mt CO2/yr)"),
setNames(
dimSums(mselect(vm_co2capture, all_enty = "cco2"), dim = 3)
* GtC_2_MtCO2,
"Carbon Sequestration|CC (Mt CO2/yr)"),
setNames(
vm_co2CCS[,,"cco2.ico2.ccsinje.1"] * GtC_2_MtCO2,
"Carbon Sequestration|CCS (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * GtC_2_MtCO2,
"Carbon Sequestration|CCU (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_bio * GtC_2_MtCO2,
"Carbon Sequestration|CCU|Biomass (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_DAC * GtC_2_MtCO2,
"Carbon Sequestration|CCU|DAC (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * (1-p_share_cco2_DAC-p_share_cco2_bio) *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Fossil (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_ind *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Industry (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_ind_fos *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Industry|Fossil (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * (p_share_cco2_ind - p_share_cco2_ind_fos) *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Industry|Biomass (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_bio_pe2se *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Pe2Se|Biomass (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * (p_share_cco2_pe2se - p_share_cco2_bio_pe2se) *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Pe2Se|Fossil (Mt CO2/yr)")
)
# cumulative CDR emissions
tmp <- mbind(tmp,
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|Land-Use Change (Mt CO2/yr)"]), "Emi|CO2|CDR|Land-Use Change|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|BECCS (Mt CO2/yr)"]), "Emi|CO2|CDR|BECCS|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|EW (Mt CO2/yr)"]), "Emi|CO2|CDR|EW|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|DACCS (Mt CO2/yr)"]), "Emi|CO2|CDR|DACCS|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Carbon Sequestration|CCS (Mt CO2/yr)"]), "Carbon Sequestration|CCS|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR (Mt CO2/yr)"]), "Emi|CO2|CDR|Cumulated (Mt CO2/yr)")
)
## create the normal aliases for the more detailed names that specify that couple production is included
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Energy|Supply|Electricity (Mt CO2/yr)"),
### please note: at the end of this file, regional transport emissions are reduced by bunker emission values
setNames(tmp[,,"Emi|CO2|Transport|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Transport (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"], "Emi|CO2|Transport|Direct (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Other Sector|Direct and Indirect|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Other Sector|Direct and Indirect (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)"], "Emi|CO2|Fossil Fuels and Industry|Demand (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Energy|Demand (Mt CO2/yr)"] ,
"Emi|CO2|Energy (Mt CO2/yr)"))
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|w/ couple prod (Mt CO2/yr)"] -
tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Non-Elec|Gross (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(
tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Energy|Supply|Electricity (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Non-Elec (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(-1 * tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Neg (Mt CO2/yr)") )
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Gross (Mt CO2/yr)"))
tmp <- mbind(tmp,
setNames(cumulatedValue(tmp[,,"Emi|CO2|Energy|Supply|Non-Elec (Mt CO2/yr)"]), "Emi|CO2|Energy|Supply|Non-Elec|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross (Mt CO2/yr)"]), "Emi|CO2|Energy|Supply|Electricity|Gross|Cumulated (Mt CO2/yr)")
)
### If Buildings Industry Structure ############################################################################
if (is.null(ppfen_stat)) {
if (indu_mod %in% c('fixed_shares', 'subsectors')) {
tmp.emi.ind.dir <- setNames(
dimSums(x=o37_emiInd[,,"co2"], dim = 3, na.rm = TRUE)
* GtC_2_MtCO2,
"Emi|CO2|Industry|Direct|FromGamsCalculation (Mt CO2/yr)")
} else {
tmp.emi.ind.dir <- setNames(
dimSums(na.rm=TRUE,x=( p_ef_dem[,,FE_Stat_fety]
* (1 - p_bioshare[,,FE_Stat_fety])
* p_share_fety_i[,,FE_Stat_fety]
)
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe, all_enty1 = FE_Stat_fety), dim = c(3.1, 3.3)),
dim = 3)
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)"],
"Emi|CO2|Industry|Direct|BeforeTradBiomassCorr (Mt CO2/yr)")
}
# FIXME: This will break the reporting if an unlisted industry module will
# is used. See issue #2399
tmp <- mbind(tmp,
setNames(
( dimSums(na.rm=TRUE,
( p_ef_dem[,,FE_Stat_fety]
* (1 - p_bioshare[,,FE_Stat_fety])
* p_share_fety_i[,,FE_Stat_fety]
)
* dimSums(na.rm=TRUE,mselect(vm_prodFe, all_enty1 = FE_Stat_fety),
dim = c(3.1, 3.3)),
dim = 3)
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)"]
),
"Emi|CO2|Industry|Direct|BeforeTradBiomassCorr (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"]) ,
"Emi|CO2|Buildings|Electricity (Mt CO2/yr)"),
setNames(collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Hydrogen (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Liquids (Mt CO2/yr)"),
setNames(collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Gases (Mt CO2/yr)"),
setNames(collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Solids|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Heat (Mt CO2/yr)"),
setNames(( collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"])
), "Emi|CO2|Buildings|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(dimSums(na.rm=TRUE, ( p_ef_dem[,,FE_Stat_fety]
* (1 - p_bioshare[,,FE_Stat_fety])
* p_share_fety_b[,,FE_Stat_fety]
)
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe, all_enty1 = FE_Stat_fety), dim = c(3.1, 3.3)),
dim = 3) ,
"Emi|CO2|Buildings|Direct|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Electricity|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Hydrogen|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Liquids|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Gases|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Solids|Gross|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Heat|Gross (Mt CO2/yr)"),
setNames(( collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"])
), "Emi|CO2|Buildings|Direct and Indirect|Gross|BeforeTradBiomassCorr (Mt CO2/yr)"),
# Indirect gets calculated as difference further down in tmp4
setNames(( collapseNames(p_share_feels_i * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_i * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_i * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_i * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"])
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)"] ## all industry CCS happens in industry
), "Emi|CO2|Industry|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(( collapseNames(p_share_feels_i * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_i * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_i * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_i * tmp[,,"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"])
), "Emi|CO2|Industry|Direct and Indirect|Gross|BeforeTradBiomassCorr (Mt CO2/yr)"),
tmp.emi.ind.dir)
}
### calculate indirect transport emissions
tmp <- mbind(tmp,setNames( tmp[,,"Emi|CO2|Transport (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Transport|Direct (Mt CO2/yr)"]
,"Emi|CO2|Transport|Indirect (Mt CO2/yr)")) # For Transport, "direct" was called "demand" before
### cumulated
### please note: at the end of this file, regional values for "Emi|CO2|Cumulated", "Emi|CO2|Fossil Fuels and Industry|Cumulated" and "Emi|CO2|Gross Fossil Fuels and Industry|Cumulated" are adjusted (substracting bunkers)
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Carbon Capture and Storage (Mt CO2/yr)"]),"Emi|CO2|Carbon Capture and Storage|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Carbon Capture and Storage|Fossil|Pe2Se (Mt CO2/yr)"]),"Emi|CO2|Carbon Capture and Storage|Fossil|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"]),"Emi|CO2|Carbon Capture and Storage|Biomass|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2 (Mt CO2/yr)"]), "Emi|CO2|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Energy|Supply|Electricity (Mt CO2/yr)"]), "Emi|CO2|Electricity Production|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"]), "Emi|CO2|Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"]), "Emi|CO2|Gross Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Land-Use Change (Mt CO2/yr)"]), "Emi|CO2|Land-Use Change|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Other Sector|Direct and Indirect (Mt CO2/yr)"]), "Emi|CO2|Other Sector|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Transport (Mt CO2/yr)"]), "Emi|CO2|Transport|w/ Bunkers|Cumulated (Mt CO2/yr)"))
### F-Gases ###############################################################################
tmp1 <- NULL
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasC2F6"], "Emi|C2F6 (kt C2F6/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasC6F14"], "Emi|C6F14 (kt C6F14/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasCF4"], "Emi|CF4 (kt CF4/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasTotal"], "Emi|F-Gases (Mt CO2-equiv/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC"], "Emi|HFC (kt HFC134a-equiv/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC125"], "Emi|HFC|HFC125 (kt HFC125/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC134a"], "Emi|HFC|HFC134a (kt HFC134a/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC143a"], "Emi|HFC|HFC143a (kt HFC143a/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC227ea"], "Emi|HFC|HFC227ea (kt HFC227ea/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC23"], "Emi|HFC|HFC23 (kt HFC23/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC245fa"], "Emi|HFC|HFC245fa (kt HFC245fa/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC32"], "Emi|HFC|HFC32 (kt HFC32/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC43-10"], "Emi|HFC|HFC43-10 (kt HFC43-10/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasPFC"], "Emi|PFC (kt CF4-equiv/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasSF6"], "Emi|SF6 (kt SF6/yr)"))
### CH4 ###############################################################################
tmp2 <- NULL
tmp2 <- mbind(tmp2,setNames( vm_sumeminegregi[,,"ch4"] + vm_emiengregi[,,"ch4"], "Emi|CH4 (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( cumulatedValue(tmp2[,,"Emi|CH4 (Mt CH4/yr)"]), "Emi|CH4|Cumulated (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_emiengregi[,,"ch4"], "Emi|CH4|Energy Demand|ResCom (Mt CH4/yr)"))
tmp2 <- mbind(
tmp2,
setNames(vm_eminegregi[,,"ch4coal"] +
vm_eminegregi[,,"ch4gas"] +
vm_eminegregi[,,"ch4oil"],
"Emi|CH4|Energy Supply (Mt CH4/yr)"),
setNames(vm_eminegregi[,,"ch4coal"], "Emi|CH4|Energy Supply|Coal (Mt CH4/yr)"),
setNames(vm_eminegregi[,,"ch4gas"], "Emi|CH4|Energy Supply|Gas (Mt CH4/yr)"),
setNames(vm_eminegregi[,,"ch4oil"], "Emi|CH4|Energy Supply|Oil (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4coal"] + vm_eminegregi[,,"ch4gas"]
+ vm_eminegregi[,,"ch4oil"] + vm_emiengregi[,,"ch4"], "Emi|CH4|Energy Supply and Demand (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4coal"] + vm_eminegregi[,,"ch4gas"]
+ vm_eminegregi[,,"ch4oil"], "Emi|CH4|Fossil Fuels and Industry (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( dimSums(na.rm=TRUE,vm_eminegregi[,,emismacmagpiech4],dim=3), "Emi|CH4|Land Use (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4rice"], "Emi|CH4|Land Use|+|Rice (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4anmlwst"], "Emi|CH4|Land Use|+|Animal waste management (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4animals"], "Emi|CH4|Land Use|+|Enteric fermentation (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( dimSums(na.rm=TRUE,vm_macBase[,,emiMacExoCH4],dim=3), "Emi|CH4|Other (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( (vm_eminegregi[,,"ch4wstl"] + vm_eminegregi[,,"ch4wsts"]),"Emi|CH4|Waste (Mt CH4/yr)"))
### N2O ################################################################################
tmp3 <- NULL
MtN2_to_ktN2O <- 44 / 28 * 1000
tmp3 <- mbind(tmp3,setNames((vm_sumeminegregi[,,"n2o"] + vm_emiengregi[,,"n2o"]) * MtN2_to_ktN2O, "Emi|N2O (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames(cumulatedValue(tmp3[,,"Emi|N2O (kt N2O/yr)"]), "Emi|N2O|Cumulated (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_emiengregi[,,"n2o"] + vm_eminegregi[,,"n2otrans"]) * MtN2_to_ktN2O, "Emi|N2O|Energy Supply and Demand (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_emiengregi[,,"n2o"]) * MtN2_to_ktN2O, "Emi|N2O|Energy Supply (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_eminegregi[,,"n2otrans"]) * MtN2_to_ktN2O, "Emi|N2O|Energy Demand|Transport (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( dimSums(na.rm=TRUE,vm_eminegregi[,,emismacmagpien2o],dim=3) * MtN2_to_ktN2O, "Emi|N2O|Land Use (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( vm_eminegregi[,,"n2oanwstm"] * MtN2_to_ktN2O, "Emi|N2O|Land Use|+|Animal Waste Management (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( dimSums(na.rm=TRUE,vm_eminegregi[,,c("n2ofertin","n2oanwstc","n2ofertcr","n2ofertsom","n2oanwstp")],dim=3) * MtN2_to_ktN2O, "Emi|N2O|Land Use|+|Agricultural Soils (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_eminegregi[,,"n2owaste"]) * MtN2_to_ktN2O, "Emi|N2O|Waste (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_eminegregi[,,"n2oadac"] + vm_eminegregi[,,"n2onitac"] ) * MtN2_to_ktN2O, "Emi|N2O|Industry (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( dimSums(vm_macBase[,,emiMacExoN2O],dim=3) * MtN2_to_ktN2O, "Emi|N2O|Other (kt N2O/yr)"))
### Other ###############################################################################
tmp4 <- NULL
### If Buildings Industry Structure
if (is.null(ppfen_stat)) {
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2|Buildings|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Buildings|Direct|BeforeTradBiomassCorr (Mt CO2/yr)"]
,"Emi|CO2|Buildings|Indirect (Mt CO2/yr)"))
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2|Industry|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Industry|Direct|BeforeTradBiomassCorr (Mt CO2/yr)"]
,"Emi|CO2|Industry|Indirect (Mt CO2/yr)"))
tmp4 <- mbind(tmp4,setNames( tmp4[,,"Emi|CO2|Industry|Indirect (Mt CO2/yr)"]
+ tmp4[,,"Emi|CO2|Buildings|Indirect (Mt CO2/yr)"]
+ tmp[,,"Emi|CO2|Transport|Indirect (Mt CO2/yr)"]
,"Emi|CO2|Fossil Fuels and Industry|Indirect (Mt CO2/yr)"))
}
tmp4 <- mbind(tmp4,setNames(v_co2eq * GtC_2_MtCO2, "Emi|GHG|International Trading System (Mt CO2-equiv/yr)"))
if(cm_emiscen==1|cm_emiscen==9){
tmp4 <- mbind(tmp4,setNames(tmp4[,,"Emi|GHG|International Trading System (Mt CO2-equiv/yr)"],"Emi|Allowances (Mt CO2-equiv/yr)"))
}else{
tmp4 <- mbind(tmp4,setNames(vm_perm * GtC_2_MtCO2, "Emi|Allowances (Mt CO2-equiv/yr)"))
}
### please note: at the end of this file, regional GHGtot emissions are reduced by bunker emission values emissions are reduced by bunker emission values
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2 (Mt CO2/yr)"]
+ s_GWP_CH4 * tmp2[,,"Emi|CH4 (Mt CH4/yr)"]
+ s_GWP_N2O * tmp3[,,"Emi|N2O (kt N2O/yr)"] / 1000, "Emi|GHGtot (Mt CO2-equiv/yr)"))
tmp4 <- mbind(tmp4,setNames(cumulatedValue(tmp4[,,"Emi|GHGtot (Mt CO2-equiv/yr)"]), "Emi|GHGtot|Cumulated (Mt CO2-equiv/yr)"))
### please note: at the end of this file, regional Kyoto emissions are reduced by bunker emission values emissions are reduced by bunker emission values
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2 (Mt CO2/yr)"]
+ s_GWP_CH4 * tmp2[,,"Emi|CH4 (Mt CH4/yr)"]
+ s_GWP_N2O * tmp3[,,"Emi|N2O (kt N2O/yr)"] / 1000
+ tmp1[,,"Emi|F-Gases (Mt CO2-equiv/yr)"], "Emi|Kyoto Gases (Mt CO2-equiv/yr)"))
# this variable contains the value without bunkers even for the GLO total. For the regions, it is identical to the one above (after adjustment at the end of this file)
if(tran_mod == "complex"){
p35_bunker_share_in_nonldv_fe <- readGDX(gdx, c("pm_bunker_share_in_nonldv_fe","p35_bunker_share_in_nonldv_fe"),format="first_found")[,y,]
tmp4 <- mbind(tmp4,setNames( tmp4[,,"Emi|Kyoto Gases (Mt CO2-equiv/yr)"]-
p35_bunker_share_in_nonldv_fe*(tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"]-tmp[,,"Emi|CO2|Transport|Pass|Road|LDV|Demand (Mt CO2/yr)"]),
"Emi|Kyoto Gases|w/o Bunkers (Mt CO2-equiv/yr)"))
tmp4 <- mbind(tmp4,setNames( p35_bunker_share_in_nonldv_fe*(tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"]-tmp[,,"Emi|CO2|Transport|Pass|Road|LDV|Demand (Mt CO2/yr)"]),
"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"))
}else if(tran_mod == "edge_esm"){
## Int. Freight and Aviation (Bunker) Emissions
tmp4 <- mbind(tmp4, setNames(p35_share_feliq_lo * tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"], "Emi|CO2|Transport|Bunkers (Mt CO2/yr)"))
## Kyoto w/o bunkers
tmp4 <- mbind(tmp4, setNames(tmp4[,,"Emi|Kyoto Gases (Mt CO2-equiv/yr)"]-tmp4[,,"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"], "Emi|Kyoto Gases|w/o Bunkers (Mt CO2-equiv/yr)"))
}
## Cumulated Bunker Emissions
tmp4 <- mbind(tmp4,setNames(cumulatedValue(tmp4[,,"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"]), "Emi|CO2|Transport|Bunkers|Cumulated (Mt CO2/yr)"))
## Kyoto Gases w/o Bunkers and Landuse
tmp4 <- mbind(tmp4,setNames(tmp4[,,"Emi|Kyoto Gases|w/o Bunkers (Mt CO2-equiv/yr)"]-tmp[,,"Emi|CO2|Land-Use Change (Mt CO2/yr)"],
"Emi|Kyoto Gases excl Land-Use Change|w/o Bunkers (Mt CO2-equiv/yr)" ))
out <- mbind(tmp,tmp1,tmp2,tmp3,tmp4)
# ---- report industry CCS emissions ----############################################################################
if (!is.null(o37_emiInd) & length(o37_emiInd) != 0) {
var <- list(
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "cement",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "cement",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "cement",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "chemicals",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "chemicals",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "chemicals",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "steel",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "steel",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "steel",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "otherInd",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "otherInd",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "otherInd",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other (Mt CO2/yr)",
code = list(secInd37 = "otherInd", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel (Mt CO2/yr)",
code = list(secInd37 = "otherInd", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", all_enty1 = "co2")),
# captured CO2
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "cement",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "cement",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "cement",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
secInd37 = "cement", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "chemicals",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "chemicals",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "chemicals",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
secInd37 = "chemicals", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "steel",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "steel",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "steel",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
secInd37 = "steel", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
all_enty1 = "cco2"))
)
# compute industry emissions from fuel combustion
o37_emiInd[is.na(o37_emiInd)] <- 0
fuel.emissions <- mbind(
lapply(var,
function(x) {
setNames(dimSums(na.rm=TRUE,x=mselect(o37_emiInd, x$code)) * GtC_2_MtCO2,
x$name)
}
)
)
# Adjust Emi|C?CO2|FFaI|Industry variables by the share of sequestered
# carbon (out of captured carbon).
# for all CO2 variables that have a corresponding CCO2 variable
names_CO2 <- getNames(fuel.emissions)[rev(duplicated(
sub('\\|CCO2', '|CO2', rev(getNames(fuel.emissions)))))]
for (x_CO2 in names_CO2) {
x_CCO2 <- sub('\\|CO2', '|CCO2', x_CO2)
# CO2' = CO2 + CCO2 * (1 - storage_share)
fuel.emissions[,,x_CO2] <- (
fuel.emissions[,,x_CO2]
+ fuel.emissions[,,x_CCO2] * (1 - p_share_carbonCapture_stor)
)
}
# for all CCO2 variables
names_CCO2 <- grep('\\|CCO2', getNames(fuel.emissions), value = TRUE)
# CCO2' = CCO2 * storage_share
fuel.emissions[,,names_CCO2] <- (
fuel.emissions[,,names_CCO2] * p_share_carbonCapture_stor
)
# compute industry process emissions
var <- list(
list(name = "Emi|CO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(all_enty = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Process (Mt CO2/yr)",
code = list(all_enty = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Process (Mt CO2/yr)",
code = list(all_enty = "co2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(all_enty = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Process (Mt CO2/yr)",
code = list(all_enty = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Process (Mt CO2/yr)",
code = list(all_enty = "cco2"))
)
ife <- which(
grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(fuel.emissions)))
infe <- which(
!grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(fuel.emissions)))
if (length(o37_cementProcessEmissions)) {
process.emissions <- mbind(
lapply(var,
function(x) {
setNames(
( dimSums(na.rm=TRUE,x=mselect(o37_cementProcessEmissions, x$code))
* GtC_2_MtCO2
),
x$name)
}
)
)
# Adjust Emi|C?CO2|FFaI|Industry variables by the share of sequestered
# carbon (out of captured carbon).
# for all CO2 variables that have a corresponding CCO2 variable
names_CO2 <- getNames(process.emissions)[rev(duplicated(
sub('\\|CCO2', '|CO2', rev(getNames(process.emissions)))))]
for (x_CO2 in names_CO2) {
x_CCO2 <- sub('\\|CO2', '|CCO2', x_CO2)
# CO2' = CO2 + CCO2 * (1 - storage_share)
process.emissions[,,x_CO2] <- (
process.emissions[,,x_CO2]
+ process.emissions[,,x_CCO2] * (1 - p_share_carbonCapture_stor)
)
}
# for all CCO2 variables
names_CCO2 <- grep('\\|CCO2', getNames(process.emissions), value = TRUE)
# CCO2' = CCO2 * storage_share
process.emissions[,,names_CCO2] <- (
process.emissions[,,names_CCO2] * p_share_carbonCapture_stor
)
ipe <- which(
grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(process.emissions)))
inpe <- which(
!grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(process.emissions)))
out <- mbind(
out,
fuel.emissions[,,ife] + process.emissions[,,ipe],
fuel.emissions[,,infe],
process.emissions[,,inpe]
)
} else {
out <- mbind(
out,
fuel.emissions[,,ife],
fuel.emissions[,,infe]
)
}
}
# add global values
out <- mbind(out,dimSums(na.rm=TRUE,x=out,dim=1))
# add other region aggregations
if (!is.null(regionSubsetList))
out <- mbind(out, calc_regionSubset_sums(out, regionSubsetList))
# correction of variables containing bunker fuel emissions:
all_regs <- getRegions(out)
# first copy variables to new names w/ bunkers:
out <- mbind(
out,
setNames( out[,,"Emi|CO2 (Mt CO2/yr)"], "Emi|CO2|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"], "Emi|CO2|Fossil Fuels and Industry|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"], "Emi|CO2|Gross Fossil Fuels and Industry|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)"],"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)"],"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Energy (Mt CO2/yr)"],"Emi|CO2|Energy|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Energy|Demand (Mt CO2/yr)"],"Emi|CO2|Energy|Demand|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|Kyoto Gases (Mt CO2-equiv/yr)"], "Emi|Kyoto Gases|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|GHGtot (Mt CO2-equiv/yr)"], "Emi|GHGtot|w/ Bunkers (Mt CO2-equiv/yr)"),
setNames( out[,,"Emi|CO2|Transport (Mt CO2/yr)"], "Emi|CO2|Transport|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"], "Emi|CO2|Transport|Demand|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Transport|Direct (Mt CO2/yr)"], "Emi|CO2|Transport|Direct|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Transport|w/o couple prod (Mt CO2/yr)"], "Emi|CO2|Transport|w/o couple prod|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Cumulated (Mt CO2/yr)"], "Emi|CO2|Cumulated|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"], "Emi|CO2|Fossil Fuels and Industry|Cumulated|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Gross Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"], "Emi|CO2|Gross Fossil Fuels and Industry|Cumulated|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|GHGtot|Cumulated (Mt CO2-equiv/yr)"], "Emi|GHGtot|Cumulated|w/ Bunkers (Mt CO2-equiv/yr)")
)
# for all regions (excluding the world region "GLO")...
regs <- all_regs[all_regs!= "GLO"]
# ...and all variables that include bunker fuels...
vars_with_bunkers <- c("Emi|CO2 (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)",
"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Demand (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)",
"Emi|CO2|Energy (Mt CO2/yr)",
"Emi|CO2|Energy|Demand (Mt CO2/yr)",
"Emi|Kyoto Gases (Mt CO2-equiv/yr)",
"Emi|GHGtot (Mt CO2-equiv/yr)",
"Emi|CO2|Transport (Mt CO2/yr)",
"Emi|CO2|Transport|Demand (Mt CO2/yr)",
"Emi|CO2|Transport|Direct (Mt CO2/yr)",
"Emi|CO2|Transport|w/o couple prod (Mt CO2/yr)"
)
for (var in vars_with_bunkers){
# ...re-calculate the regional values by substracting the emissions from bunkers.
out[regs,,var] <-
out[regs,,var]-
out[regs,,"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"]
}
#same as above for cumulated values
cum_with_bunkers <- c("Emi|CO2|Cumulated (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Cumulated (Mt CO2/yr)",
"Emi|CO2|Gross Fossil Fuels and Industry|Cumulated (Mt CO2/yr)",
"Emi|GHGtot|Cumulated (Mt CO2-equiv/yr)"
)
for (var in cum_with_bunkers){
out[regs,,var] <-
out[regs,,var] -
out[regs,,"Emi|CO2|Transport|Bunkers|Cumulated (Mt CO2/yr)"]
}
# add cumulative values
out <- mbind(out,
setNames(cumulatedValue(out[,,"Emi|CO2|FFaI|Industry|Process (Mt CO2/yr)"]), "Emi|CO2|FFaI|Industry|Process|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(out[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"]), "Emi|CO2|Transport|Demand|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(out[,,"Emi|CO2|Transport (Mt CO2/yr)"]), "Emi|CO2|Transport|Cumulated (Mt CO2/yr)")
)
# ---- report specific industry emissions ----
if ('subsectors' == indu_mod) {
out <- mbind(
out,
mbind(
lapply(
list(
# <variables to calculate> by dividing <numerator> by
# <denominator>
c('Carbon Intensity|Production|Cement (Mt CO2/Mt)',
'Emi|CO2|FFaI|Industry|Cement (Mt CO2/yr)',
'Production|Industry|Cement (Mt/yr)'),
c(paste0('Carbon Intensity|Production|Cement|Fossil|Energy|',
'Demand|Industry (Mt CO2/Mt)'),
'Emi|CO2|FFaI|Industry|Cement|Fuel (Mt CO2/yr)',
'Production|Industry|Cement (Mt/yr)'),
c(paste('Carbon Intensity|Production|Cement|Industrial Processes',
'(Mt CO2/Mt)'),
'Emi|CO2|FFaI|Industry|Cement|Process (Mt CO2/yr)',
'Production|Industry|Cement (Mt/yr)'),
c('Carbon Intensity|Production|Steel (Mt CO2/Mt)',
'Emi|CO2|FFaI|Industry|Steel (Mt CO2/yr)',
'Production|Industry|Steel (Mt/yr)'),
c(paste0('Carbon Intensity|Production|Steel|Fossil|Energy|',
'Demand|Industry (Mt CO2/Mt)'),
'Emi|CO2|FFaI|Industry|Steel|Fuel (Mt CO2/yr)',
'Production|Industry|Steel (Mt/yr)')),
function(x) {
# denominator with same dimension names as out
tmp_denominator <- `getSets<-`(
output[,,x[[3]]][c('GLO', names(regionSubsetList)),,
invert = TRUE],
value = getSets(out))
# add global and regional sums (can't be sure they exist in the
# first place)
tmp_denominator <- mbind(
tmp_denominator,
dimSums(tmp_denominator, dim = 1),
calc_regionSubset_sums(tmp_denominator, regionSubsetList))
setNames(out[,,x[[2]]] / tmp_denominator, x[[1]])
}
)
)
)
}
return(out)
}
pik-piam/remind documentation built on Sept. 9, 2021, 1:09 p.m.
R Package Documentation
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Defines functions reportEmi
Documented in reportEmi
#' Read in GDX and calculate emissions, used in convGDX2MIF.R for the
#' reporting
#'
#' Read in emission information from GDX file, information used in
#' convGDX2MIF.R for the reporting
#'
#'
#' @param gdx a GDX as created by readGDX, or the file name of a gdx
#' @param output a magpie object containing all needed variables generated by other report*.R functions
#' @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.
#' @author Jessica Strefler, Lavinia Baumstark, Michaja Pehl
#' @examples
#'
#' \dontrun{reportEmi(gdx)}
#' @export
#' @importFrom gdx readGDX
#' @importFrom magclass getNames<- getYears collapseNames mbind getYears
#' new.magpie getRegions setYears dimSums mselect replace_non_finite
#' @importFrom dplyr inner_join select filter group_by summarise ungroup mutate
#' as_tibble rename
#' @importFrom tidyr complete nesting unite matches
#' @importFrom quitte as.quitte character.data.frame
#' @importFrom rlang .data
#' @importFrom madrat toolNAreplace
reportEmi <- function(gdx, output=NULL, regionSubsetList=NULL){
if(is.null(output)){
output <- reportFE(gdx,regionSubsetList = NULL)["GLO",,invert = T]
} else {
output <- output[c("GLO",names(regionSubsetList)),,invert = T]
}
####### conversion factors ##########
s_GWP_CH4 <- readGDX(gdx,c("sm_gwpCH4","s_gwpCH4","s_GWP_CH4"),format="first_found", react = "silent")
s_GWP_N2O <- readGDX(gdx,c("s_gwpN2O","s_GWP_N2O"),format="first_found")
pm_conv_TWa_EJ <- 31.536
TWa_2_EJ <- 31.536
GtC_2_MtCO2 <- 44 / 12 * 1000
####### read in needed data #########
module2realisation <- readGDX(gdx, "module2realisation")
rownames(module2realisation) <- module2realisation$modules
ppfen_stat <- readGDX(gdx, c("ppfen_stationary_dyn38",
"ppfen_stationary_dyn28",
"ppfen_stationary"),
format = "first_found", react = "silent")
# Realisation of the different modules
if ( !is.null(module2realisation)
& (!"CES_structure" %in% module2realisation[,1])) {
stat_mod = module2realisation['stationary' == module2realisation$modules,2]
tran_mod = module2realisation['transport' == module2realisation$modules,2]
indu_mod = module2realisation['industry' == module2realisation$modules,2]
buil_mod = module2realisation['buildings' == module2realisation$modules,2]
} else {
# In case the set module2realisation did not exist, find out whether it was
# stationary or buildings-industry
if (!is.null(ppfen_stat)) {
stat_mod = "simple"
indu_mod = "off"
buil_mod = "off"
tran_mod = "complex"
} else {
stat_mod = "off"
indu_mod = "fixed_shares"
buil_mod = "simple"
tran_mod = "complex"
}
}
## switches
cm_emiscen <- readGDX(gdx,"cm_emiscen")
## sets
pebio <- readGDX(gdx,c("peBio","pebio"),format="first_found")
emi2te <- readGDX(gdx,"emi2te")
cintbyfuel <- readGDX(gdx,c("emi2fuelMine","cintbyfuel"),format="first_found")
pe2se <- readGDX(gdx,"pe2se")
se2se <- readGDX(gdx, "se2se")
se2fe <- readGDX(gdx,"se2fe")
fe2ue <- readGDX(gdx, c("fe2ue", "fe2es"),format="first_found")
fety <- readGDX(gdx,c("entyFe","fety"),format="first_found")
sety <- readGDX(gdx,c("entySe","sety"),format="first_found")
pety <- readGDX(gdx,c("entyPe","pety"),format="first_found")
oc2te <- readGDX(gdx,c("pc2te","oc2te"),format="first_found")
teccs <- readGDX(gdx,c("teCCS","teccs"),format="first_found")
tebio <- readGDX(gdx,c("teBio"),format="first_found")
peFos <- readGDX(gdx,c("peFos"),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)
FE_Liq <- intersect(c("fehos","fehob","fehoi","fepet","fedie","feliq"),fety)
FE_Ga <- intersect(c("fegas","fegab","fegai","fegat"),fety)
FE_H2 <- intersect(c("feh2s","feh2b","feh2i","feh2t"),fety)
FE_So <- intersect(c("fesos","fesob","fesoi"),fety)
FE_He <- intersect(c("fehes","feheb","fehei"),fety)
FE_El <- intersect(c("feels","feeli","feelb","feelt"),fety)
FE_Stat_fety <- c("fegas", "fehos", "fesos", "feh2s", "fehes", "feels")
FE_Transp_fety35 <- readGDX(gdx,"FE_Transp_fety35")
emismacmagpiech4 <- readGDX(gdx,c("emiMacMagpieCH4","emismacmagpiech4"),format="first_found")
emismacmagpien2o <- readGDX(gdx,c("emiMacMagpieN2O","emismacmagpien2o"),format="first_found")
emiMacExoCH4 <- readGDX(gdx,c("emiMacExoCH4"),format="first_found")
emiMacExoN2O <- readGDX(gdx,c("emiMacExoN2O"),format="first_found")
## parameter or variable - see next lines
p_emi_fgas <- readGDX(gdx,c("pm_emiFgas","p_emiFgas","p_emi_fgas"),format="first_found", react = "silent")
#LB# if old names are used rename set elements
if (is.element("Emissions|F-Gases",magclass::getNames(p_emi_fgas))) {
magclass::getNames(p_emi_fgas) <- gsub("\\|","_", magclass::getNames(p_emi_fgas))
oldNames <- c("Emissions_F-Gases","Emissions_PFC","Emissions_CF4","Emissions_C2F6","Emissions_C6F14","Emissions_HFC_HFC23","Emissions_HFC_HFC32",
"Emissions_HFC_HFC43-10","Emissions_HFC_HFC125","Emissions_HFC_HFC134a","Emissions_HFC_HFC143a","Emissions_HFC_HFC227ea","Emissions_HFC_HFC245fa","Emissions_SF6","Emissions_HFC")
newNames <- c("emiFgasTotal","emiFgasPFC","emiFgasCF4","emiFgasC2F6","emiFgasC6F14","emiFgasHFC23","emiFgasHFC32","emiFgasHFC43-10","emiFgasHFC125",
"emiFgasHFC134a","emiFgasHFC143a","emiFgasHFC227ea","emiFgasHFC245fa","emiFgasSF6","emiFgasHFC")
for( i in 1:length(oldNames)) {
magclass::getNames(p_emi_fgas) <- gsub(oldNames[i],newNames[i], magclass::getNames(p_emi_fgas))
}
}
if(is.null(p_emi_fgas)){p_emi_fgas <- readGDX(gdx,name="vm_emiFgas",field="l",restore_zeros=FALSE)}
# p11_emi_aerosol <- readGDX(gdx,"p11_emi_aerosol")
pm_emi_limits_wp4 <- readGDX(gdx,c("p11_emi_limits_wp4", "pm_emi_limits_wp4"),format="first_found", react = "silent")
pm_limits_wp4_rcp <- readGDX(gdx,"pm_limits_wp4_rcp",restore_zeros=FALSE, react = "silent")
p_cint <- readGDX(gdx, c("pm_cint","p_cint") ,format="first_found", react = "silent")
p_share_seel_s <- readGDX(gdx, "p_share_seel_s")
p_share_seh2_s <- readGDX(gdx, "p_share_seh2_s")
p_share_seliq_s <- readGDX(gdx, "p_share_seliq_s")
p_ef_dem <- readGDX(gdx, "p_ef_dem")
## temporary workaround to test reverted emission factors for the AR6 reporting
p_ef_dem[,, "fedie"] = 69.3;
p_ef_dem[,, "fehos"] = 69.3;
p_ef_dem[,, "fepet"] = 68.5;
p_ef_dem[,, "fegas"] = 50.3;
p_ef_dem[,, "fegat"] = 50.3;
p_ef_dem[,, "fesos"] = 90.5;
p_bioshare <- readGDX(gdx, "p_bioshare")
ppfen_stat <- readGDX(gdx,c("ppfen_stationary_dyn38","ppfen_stationary_dyn28","ppfen_stationary"),format="first_found", react = "silent")
pm_ts <- readGDX(gdx,"pm_ts")
o37_emiInd <- readGDX(gdx, "o37_emiInd", restore_zeros = FALSE,
react = "silent")
o37_cementProcessEmissions <- readGDX(gdx, "o37_cementProcessEmissions",
restore_zeros = FALSE,
react = "silent")
o37_cementProcessEmissions[is.na(o37_cementProcessEmissions)] <- 0
p_eta_conv <- readGDX(gdx, c("pm_eta_conv","p_eta_conv"), restore_zeros = FALSE,format="first_found")
dataoc_tmp <- readGDX(gdx,c("pm_prodCouple","p_prodCouple","p_dataoc"),restore_zeros=FALSE,format="first_found")
dataoc_tmp[is.na(dataoc_tmp)] <- 0
#### adjust regional dimension of dataoc
dataoc <- new.magpie(getRegions(p_eta_conv),getYears(dataoc_tmp),magclass::getNames(dataoc_tmp),fill=0)
dataoc[getRegions(dataoc_tmp),,] <- dataoc_tmp
getSets(dataoc) <- getSets(dataoc_tmp)
####### fix negative values to 0 ##################
dataoc[dataoc<0] <- 0
oc2te <- readGDX(gdx,c("pc2te","oc2te"),format="first_found")
## variables
v_emi <- readGDX(gdx, name = c("vm_emiTeDetail", "v_emiTeDetail", "v_emi"),
field = "l", restore_zeros = FALSE, format = "first_found",
react = "silent")
vm_co2capture <- readGDX(gdx,name=c("vm_co2capture","vm_co2CCS","v_co2CCS","v_ccs"),field="l",restore_zeros=FALSE,format="first_found")
vm_co2CCS <- readGDX(gdx,name=c("vm_co2CCS","v_co2CCS","v_ccs"),field="l",restore_zeros=FALSE,format="first_found")
vm_emiengregi <- readGDX(gdx,name=c("vm_emiTe","vm_emiengregi"),field="l",format="first_found")
vm_eminegregi <- readGDX(gdx,name=c("vm_emiMacSector","vm_eminegregi"),field="l",format="first_found")
vm_emicdrregi <- readGDX(gdx,name=c("vm_emiCdr","vm_emicdrregi"),field="l",format="first_found")
vm_co2CCUshort <- readGDX(gdx,name=c("vm_co2CCUshort"),field="l",restore_zeros=FALSE,format="first_found")
v33_emiEW <- readGDX(gdx,name=c("v33_emiEW"),field="l",format="first_found",react="silent")
v33_emiDAC <- readGDX(gdx,name=c("v33_emiDAC"),field="l",format="first_found",react="silent")
vm_sumeminegregi <- readGDX(gdx,name=c("vm_emiMac","vm_sumeminegregi"),field="l",format="first_found")
vm_fuelex <- readGDX(gdx, name = c("vm_fuExtr","vm_fuelex", "vm_fuelextmp"), field="l",format = "first_found")
vm_prodSE <- readGDX(gdx,name=c("vm_prodSe","v_seprod"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_prodSE <- vm_prodSE[rbind(pe2se,se2se)]
vm_prodFe <- readGDX(gdx,name=c("vm_prodFe","v_feprod","vm_feprod"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_prodFe <- vm_prodFe[se2fe]
vm_demFe <- readGDX(gdx,name=c("v_demFe","vm_demFe"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_demFe <- vm_demFe[fe2ue]
vm_demFeForEs <- readGDX(gdx,name = c("vm_demFeForEs"), field="l", restore_zeros=FALSE,format= "first_found",react = "silent") * pm_conv_TWa_EJ
vm_demSe <- readGDX(gdx,name=c("vm_demSe","v_demSe","v_sedem","vm_sedem"),field="l",restore_zeros=FALSE,format="first_found") * pm_conv_TWa_EJ
vm_demSe <- vm_demSe[se2fe]
v_co2eq <- readGDX(gdx,name=c("vm_co2eq","v_co2eq"),field="l",format="first_found")
vm_perm <- readGDX(gdx,name=c("vm_perm"),field="l",format="first_found")
vm_cesIO <- readGDX(gdx,"vm_cesIO",field="l",format="first_found") * pm_conv_TWa_EJ
vm_macBase <- readGDX(gdx, "vm_macBase", field = "l",
restore_zeros = FALSE)
vm_macBaseInd <- readGDX(gdx, c('vm_macBaseInd', "v37_macBaseInd"), field = "l", format = "first_found")
vm_emiIndCCS <- readGDX(gdx, 'vm_emiIndCCS', field = 'l', format = 'first_found')
v37_emiIndCCSmax <- readGDX(gdx, 'v37_emiIndCCSmax', field = 'l',
react = 'silent')
if (!is.null(v37_emiIndCCSmax))
getSets(v37_emiIndCCSmax) <- sub('all_enty', 'emiInd37',
getSets(v37_emiIndCCSmax))
pm_macSwitch <- readGDX(gdx, "pm_macSwitch", field = "l",format="first_found")
pm_macAbatLev <- readGDX(gdx, "pm_macAbatLev", field = "l",format="first_found")
####### calculate minimal temporal resolution #####
y <- Reduce(intersect,list(getYears(v_emi),getYears(vm_emiengregi),getYears(vm_eminegregi),getYears(vm_emicdrregi),getYears(vm_co2capture),getYears(vm_co2CCS),getYears(vm_sumeminegregi),getYears(vm_fuelex)))
v_emi <- v_emi[,y,]
vm_emiengregi <- vm_emiengregi[,y,]
vm_eminegregi <- vm_eminegregi[,y,]
vm_emicdrregi <- vm_emicdrregi[,y,]
vm_co2capture <- vm_co2capture[,y,]
vm_co2CCS <- vm_co2CCS[,y,]
vm_prodSE <- vm_prodSE[,y,]
if(!is.null(v33_emiEW)) {
v33_emiEW <- v33_emiEW[,y,]
getNames(v33_emiEW) <- "emiEW"
} else {
v33_emiEW <- new.magpie(getRegions(v_emi),getYears(v_emi),"emiEW",fill=0)
}
if(!is.null(v33_emiDAC)) {
v33_emiDAC <- v33_emiDAC[,y,]
getNames(v33_emiDAC) <- "emiDAC"
} else {
v33_emiDAC <- new.magpie(getRegions(v_emi),getYears(v_emi),"emiDAC",fill=0)
}
if(!is.null(vm_co2CCUshort)) {
if(dim(vm_co2CCUshort)[1]==0) {
vm_co2CCUshort <- new.magpie(getRegions(v_emi),getYears(v_emi),"cco2.co2CCUshort.h22ch4.1",fill=0)
} else {
vm_co2CCUshort <- vm_co2CCUshort[,y,]
}
} else{
vm_co2CCUshort <- new.magpie(getRegions(v_emi),getYears(v_emi),"cco2.co2CCUshort.h22ch4.1",fill=0)
}
vm_sumeminegregi <- vm_sumeminegregi[,y,]
vm_macBase <- vm_macBase[,y,]
vm_fuelex <- vm_fuelex[,y,]
# Patch to force dimension match between all_enty columns
getSets(vm_fuelex)[3] <- colnames(cintbyfuel)[2]
p_share_seel_s <- p_share_seel_s[,y,]
p_share_seh2_s <- p_share_seh2_s[,y,]
p_share_seliq_s <- p_share_seliq_s[,y,]
p_eta_conv <- p_eta_conv[,y,]
v_co2eq <- v_co2eq[,y,]
v_co2eq <- v_co2eq[,y,]
vm_perm <- vm_perm[,y,]
p_bioshare <- p_bioshare[,y,]
p_emi_fgas <- p_emi_fgas[,y,]
vm_cesIO <- vm_cesIO[,y,]
vm_macBaseInd <- vm_macBaseInd[,y,]
pm_macAbatLev <- pm_macAbatLev[,y,]
emiInd37 <- readGDX(gdx,c("emiInd37"),format="first_found")
secInd37 <- readGDX(gdx,c("secInd37"),format="first_found")
secInd37_2_emiInd37 <- readGDX(gdx,c("secInd37_2_emiInd37"),format="first_found")
# pm_macSwitch <- mselect(pm_macSwitch,all_enty = emiInd37)
# vm_macBaseIndRed <- collapseNames(mselect(vm_macBaseInd,all_enty = "fegas",secInd37 = secInd37_2_emiInd37$secInd37))
# a <- dimSums(na.rm=TRUE,x=vm_macBaseIndRed[,,] * setNames(pm_macSwitch[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37) * setNames(pm_macAbatLev[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37),3)
#
#set calculation
pe2se_bioCCS <- pe2se[pe2se$all_te %in% intersect(tebio, teccs),]
pe2se_noBioCCS <- pe2se[!pe2se$all_te %in% intersect(tebio, teccs),]
oc2te <- oc2te[!((oc2te$all_te=="gaschp" & (oc2te$all_enty2 %in% se_Gas))|
(oc2te$all_te=="refped" & oc2te$all_enty2=="seel")|
(oc2te$all_te=="refpet" & oc2te$all_enty2=="sehe")|
(oc2te$all_te=="refdip" & oc2te$all_enty2=="seel")|
(oc2te$all_te=="refdip" & oc2te$all_enty2=="sehe")|
(oc2te$all_te=="gash2" & (oc2te$all_enty2 %in% se_Gas))|
(oc2te$all_te=="gash2c" & (oc2te$all_enty2 %in% se_Gas))),]
# ---- expand v_emi to include regions w/o data (for testOneRegi) ----
v_emi <- v_emi %>%
as.data.frame() %>%
select(-!!sym('Cell')) %>%
unite('data', matches('^Data[0-9]$'), sep = '.') %>%
complete(!!sym('Region') := as.character(readGDX(gdx, 'regi')),
nesting(!!sym('Year'), !!sym('data'))) %>%
rename(!!sym(names(attr(v_emi, 'dimnames'))[1]) := !!sym('Region'),
!!sym(names(attr(v_emi, 'dimnames'))[2]) := !!sym('Year'),
!!sym(names(attr(v_emi, 'dimnames'))[3]) := !!sym('data')) %>%
as.magpie(tidy = TRUE, replacement = ".")
###### Compute share parameter
if (is.null(ppfen_stat)){
p_share_feels_b <- setNames(collapseNames(output[,y,"FE|Buildings|Electricity (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Electricity (EJ/yr)"]),
"feels")
p_share_feels_i <- 1 - p_share_feels_b
p_share_fehos_b <- setNames(collapseNames(output[,y,"FE|Buildings|Liquids (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Liquids (EJ/yr)"]),
"fehos")
p_share_fehos_i <- 1 - p_share_fehos_b
p_share_fegas_b <- setNames(collapseNames(output[,y,"FE|Buildings|Gases (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Gases (EJ/yr)"]),
"fegas")
p_share_fegas_i <- 1 - p_share_fegas_b
p_share_fehes_b <- setNames(
collapseNames(
output[,y,"FE|Buildings|Heat (EJ/yr)"]
/ output[,y,"FE|Buildings and Industry|Heat (EJ/yr)"]
),
"fehes")
p_share_fehes_i <- 1 - p_share_fehes_b
p_share_fehes_b <- replace_non_finite(p_share_fehes_b, 0)
p_share_fehes_i <- replace_non_finite(p_share_fehes_i, 0)
p_share_feh2s_b <- setNames(collapseNames(output[,y,"FE|Buildings|Hydrogen (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Hydrogen (EJ/yr)"]),
"feh2s")
p_share_feh2s_i <- 1 - p_share_feh2s_b
p_share_fesos_b <- setNames(collapseNames(output[,y,"FE|Buildings|Solids (EJ/yr)"] / output[,y,"FE|Buildings and Industry|Solids (EJ/yr)"]),
"fesos")
p_share_fesos_i <- 1 - p_share_fesos_b
p_share_fety_b <- mbind(p_share_feels_b,p_share_fehos_b,p_share_fegas_b,p_share_fehes_b,p_share_feh2s_b,p_share_fesos_b)
p_share_fety_i <- mbind(p_share_feels_i,p_share_fehos_i,p_share_fegas_i,p_share_fehes_i,p_share_feh2s_i,p_share_fesos_i)
}
p_share_seel_t <- collapseNames(output[,y,"FE|Transport|Electricity (EJ/yr)"] / output[,y,"FE|+|Electricity (EJ/yr)"])
p_share_seh2_t <- collapseNames(output[,y,"FE|Transport|Hydrogen (EJ/yr)"] / output[,y,"FE|+|Hydrogen (EJ/yr)"])
p_share_seliq_t <- collapseNames(output[,y,"FE|Transport|Liquids (EJ/yr)"] / output[,y,"FE|+|Liquids (EJ/yr)"])
p_share_segas_t <- collapseNames(output[,y,"FE|Transport|Gases (EJ/yr)"] / output[,y,"FE|+|Gases (EJ/yr)"])
if (tran_mod == "complex"){
p35_share_seel_t_ldv <- collapseNames(output[,y,"FE|Transport|Pass|Road|LDV|Electricity (EJ/yr)"] / output[,y,"FE|+|Electricity (EJ/yr)"])
p35_share_seh2_t_ldv <- collapseNames(output[,y,"FE|Transport|Pass|Road|LDV|Hydrogen (EJ/yr)"] / output[,y,"FE|+|Hydrogen (EJ/yr)"])
p35_share_seliq_t_ldv <- collapseNames(output[,y,"FE|Transport|Pass|Road|LDV|Liquids (EJ/yr)"] / output[,y,"FE|+|Liquids (EJ/yr)"])
}else if(tran_mod == "edge_esm"){
## Liquids
p35_share_feliq_lo <- collapseNames((output[,y,"FE|Transport|Freight|Long distance|Diesel Liquids (EJ/yr)"] +
output[,y,"FE|Transport|Pass|Long distance|Diesel Liquids (EJ/yr)"]) /
output[,y,"FE|Transport|Liquids (EJ/yr)"])
p35_share_seliq_psm <- collapseNames((output[,y,"FE|Transport|Pass|Short-Medium distance|Diesel Liquids (EJ/yr)"] +
output[,y,"FE|Transport|Pass|Short-Medium distance|Petrol Liquids (EJ/yr)"]) /
output[,y,"FE|+|Liquids (EJ/yr)"])
p35_share_seliq_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Diesel Liquids (EJ/yr)"] / output[,y,"FE|+|Liquids (EJ/yr)"])
p35_share_seliq_pl <- collapseNames((output[,y,"FE|Transport|Pass|Long distance|Diesel Liquids (EJ/yr)"]) /
output[,y,"FE|+|Liquids (EJ/yr)"])
p35_share_seliq_fl <- collapseNames((output[,y,"FE|Transport|Freight|Long distance|Diesel Liquids (EJ/yr)"]) /
output[,y,"FE|+|Liquids (EJ/yr)"])
## Electricity
p35_share_seel_psm <- collapseNames(output[,y,"FE|Transport|Pass|Short-Medium distance|Electricity (EJ/yr)"] /
output[,y,"FE|+|Electricity (EJ/yr)"])
p35_share_seel_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Electricity (EJ/yr)"] /
output[,y,"FE|+|Electricity (EJ/yr)"])
## Hydrogen
p35_share_seh2_psm <- collapseNames(output[,y,"FE|Transport|Pass|Short-Medium distance|Hydrogen (EJ/yr)"] /
output[,y,"FE|+|Hydrogen (EJ/yr)"])
p35_share_seh2_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Hydrogen (EJ/yr)"] /
output[,y,"FE|+|Hydrogen (EJ/yr)"])
## Nat. Gas
p35_share_sega_psm <- collapseNames(output[,y,"FE|Transport|Pass|Short-Medium distance|Gases (EJ/yr)"] /
output[,y,"FE|+|Gases (EJ/yr)"])
p35_share_sega_fsm <- collapseNames(output[,y,"FE|Transport|Freight|Short-Medium distance|Gases (EJ/yr)"] /
output[,y,"FE|+|Gases (EJ/yr)"])
}
# Share of captured carbon, that is actually sequestered. The introduction
# of CCU made it necessary to add the "slack" variable v_co2capturevalve,
# that allows for immediate releasing
p_share_carbonCapture_stor <- (
vm_co2CCS[,,"cco2.ico2.ccsinje.1"]
/ dimSums(mselect(vm_co2capture, all_enty = "cco2"), dim = 3)
)
p_share_carbonCapture_stor[is.na(p_share_carbonCapture_stor)] <- 1
####### internal function for cumulated values ############
cumulatedValue <- function(var,i_pm_ts=pm_ts){
ts <- i_pm_ts[,getYears(var),]
tmp <- new.magpie(getRegions(var),getYears(var),magclass::getNames(var),fill=0)
for( t in 2:length(getYears(var))){
tmp[,t,] <- setYears(
dimSums(na.rm=TRUE,x=var[,which(getYears(var) < getYears(var)[t]),] * ts[,which(getYears(var) < getYears(var)[t]),],dim=2)
- setYears(var[,2005,] * ts[,2005,], NULL) / 2 # half of 2005 time step
+ setYears(var[,t ,] * ts[,t ,], NULL) / 2 # half of last time step
, NULL)
}
return(tmp)
}
# emi_carrier(v_emi,dataoc,oc2te,sety,pety,"seel","co2",44/12*1000,te=pe2se$all_te, name="Emissions|CO2|Energy|Supply|Electricity (Mt CO2/yr)"),
####### internal function for reporting of coupled production PE2SE ########### secarrier is the primary SE for which the analysis is performed
emi_carrier <- function(v_emi,dataoc,oc2te,sety,pecarrier,secarrier,emity,factor,te=pe2se$all_te,name=NULL){
x1 <- NULL
x2 <- NULL
x3 <- NULL
## all emissions with secarrier as a main product
x1 <- dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty=pecarrier,all_enty1=secarrier,all_te=te,all_enty2=emity),dim=3)
## negative term for couple products by technologies with secarrier as a main product
## identify all techs with secarrier as a main product, create corresponding map for v_emi domain
sub_oc2te_secarMain <- oc2te[(oc2te$all_enty %in% pecarrier) & (oc2te$all_enty1 %in% secarrier) & (oc2te$all_enty2 %in% sety) & (oc2te$all_te %in% te),]
subEmi_oc2te_secarMain <- sub_oc2te_secarMain
if(length(row.names(subEmi_oc2te_secarMain))!=0){
subEmi_oc2te_secarMain$all_enty2 <- emity # replace the couple product column with emission column to fit the v_emi structure
x2 <- dimSums(na.rm=TRUE,x=collapseNames(v_emi[subEmi_oc2te_secarMain],collapsedim=3.4)*collapseNames(dataoc[sub_oc2te_secarMain]/(1+dataoc[sub_oc2te_secarMain]),collapsedim=3.4),dim=3)
}else{
x2 <- new.magpie(getRegions(x1),getYears(x1),magclass::getNames(x1),fill = 0)
}
## additional term for technologies with secarrier as a couple product
## identify all techs with secarrier as a couple product, create corresponding map for v_emi domain
sub_oc2te_secarCP <- oc2te[(oc2te$all_enty %in% pecarrier) & (oc2te$all_enty1 %in% sety) & (oc2te$all_enty2 %in% secarrier) & (oc2te$all_te %in% te),]
subEmi_oc2te_secarCP <- sub_oc2te_secarCP
if(length(row.names(subEmi_oc2te_secarCP))!=0){
subEmi_oc2te_secarCP$all_enty2 <- emity
x3 <- dimSums(na.rm=TRUE,x=collapseNames(v_emi[subEmi_oc2te_secarCP],3.4)*collapseNames(dataoc[sub_oc2te_secarCP]/(1+dataoc[sub_oc2te_secarCP]),collapsedim=3.4),dim=3)
}else{
x3 <- new.magpie(getRegions(x1),getYears(x1),magclass::getNames(x1),fill = 0)
}
out <- (x1-x2+x3)*factor
if(!is.null(name)) magclass::getNames(out) <- name
return(out)
}
####### calculate reporting parameters ############
### CO2 ###
tmp <- NULL
tmp <- mbind(
### please note: at the end of this file, regional CO2 emissions are reduced by bunker emission values emissions are reduced by bunker emission values
setNames((vm_emiengregi[,,"co2"] + vm_sumeminegregi[,,"co2"] + vm_emicdrregi[,,"co2"]) * GtC_2_MtCO2, "Emi|CO2 (Mt CO2/yr)"),
setNames((vm_co2CCS[,,"cco2.ico2.ccsinje.1"]) * GtC_2_MtCO2, "Emi|CO2|Carbon Capture and Storage (Mt CO2/yr)"),
setNames((dimSums(mselect(vm_co2capture,all_enty="cco2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Carbon Capture (Mt CO2/yr)"),
# does not containt the IndustryCCS applied to Biogas, Biosolids, Bioliquids ...
setNames(
dimSums(mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"), dim = 3)
* dimSums(p_share_carbonCapture_stor)
* GtC_2_MtCO2,
"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"
),
setNames((dimSums(mselect(v_emi,all_enty=peFos,all_enty2="cco2"),dim=3)) * p_share_carbonCapture_stor * GtC_2_MtCO2, "Emi|CO2|Carbon Capture and Storage|Fossil|Pe2Se (Mt CO2/yr)"),
setNames((dimSums(mselect(v_emi,all_enty1="seel",all_enty2="co2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Electricity Production|w/o couple prod (Mt CO2/yr)"), ## does not account for couple production
setNames((dimSums(mselect(v_emi,all_enty1="seh2",all_enty2="co2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Hydrogen Production|w/o couple prod (Mt CO2/yr)"), ## does not account for couple production
setNames((dimSums(mselect(v_emi,all_enty1="sehe",all_enty2="co2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Heat Production|w/o couple prod (Mt CO2/yr)"), ## does not account for couple production
# CO2 emissions from CHP are split joule-by-joule between electricity and
# heat
setNames(
( v_emi[,,'pecoal.seel.coalchp.co2']
/ (1 + dataoc[,,'pecoal.seel.coalchp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Electricity|Coal|CHP|w/o CCS (MtCO2/yr)'),
setNames(
( v_emi[,,'pecoal.seel.coalchp.co2']
* dataoc[,,'pecoal.seel.coalchp.sehe']
/ (1 + dataoc[,,'pecoal.seel.coalchp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Heat|Coal|CHP|w/o CCS (MtCO2/yr)'),
setNames(
( v_emi[,,'pegas.seel.gaschp.co2']
/ (1 + dataoc[,,'pegas.seel.gaschp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Electricity|Gas|CHP|w/o CCS (MtCO2/yr)'),
setNames(
( v_emi[,,'pegas.seel.gaschp.co2']
* dataoc[,,'pegas.seel.gaschp.sehe']
/ (1 + dataoc[,,'pegas.seel.gaschp.sehe'])
* GtC_2_MtCO2
),
'Emi|CO2|Heat|Gas|CHP|w/o CCS (MtCO2/yr)'),
### please note: at the end of this file, regional FFI emissions are reduced by bunker emission values emissions are reduced by bunker emission values
setNames((vm_emiengregi[,,"co2"] + vm_eminegregi[,,"co2cement_process"]) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"),
setNames((vm_eminegregi[,,"co2cement_process"]) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Cement process (Mt CO2/yr)"),
setNames((dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty="peoil",all_enty2="co2")[emi2te],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(p_cint,all_enty="co2",all_enty1="peoil")[cintbyfuel]
* vm_fuelex[,,"peoil"][cintbyfuel], dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Oil|Before IndustryCCS (Mt CO2/yr)"),
setNames((dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty="pegas", all_enty2="co2")[emi2te],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(p_cint,all_enty="co2",all_enty1="pegas")[cintbyfuel]
* vm_fuelex[,,"pegas"][cintbyfuel], dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Gas|Before IndustryCCS (Mt CO2/yr)"),
setNames((dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty="pecoal", all_enty2="co2")[emi2te],dim=3) +
+ dimSums(na.rm=TRUE,x=mselect(p_cint,all_enty="co2",all_enty1="pecoal")[cintbyfuel]
* vm_fuelex[,,"pecoal"][cintbyfuel], dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Fossil Fuels and Industry|Coal|Before IndustryCCS (Mt CO2/yr)"),
### please note: at the end of this file, regional FFI demand emissions are reduced by bunker emission values
setNames(
dimSums(
( p_ef_dem[,,fety]
* (1 - p_bioshare[,,fety])
)
* dimSums(mselect(vm_prodFe, all_enty1 = fety), dim = c(3.1, 3.3),na.rm=TRUE)
, dim = 3,na.rm=TRUE),
"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)"),
### please note: at the end of this file, regional Gross FFI emissions are reduced by bunker emission values
setNames((vm_emiengregi[,,"co2"] + vm_eminegregi[,,"co2cement_process"]) * GtC_2_MtCO2
+ (dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty=pebio,all_enty2="cco2"),dim=3)) * GtC_2_MtCO2, "Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"),
setNames((vm_eminegregi[,,"co2luc"] ) * GtC_2_MtCO2, "Emi|CO2|Land-Use Change (Mt CO2/yr)")
)
# Emissions by PE and carrier, use function "emi_carrier" declared above ############################################################################
tmp <- mbind(tmp,
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,"seel","cco2",GtC_2_MtCO2,pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,se_Liq,"cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,"seh2","cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,"sehe","cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pebio,se_Gas,"cco2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Carbon Capture|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,"seel","co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,"sehe","co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,"seh2","co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,se_Liq,"co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,se_Gas,"co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
emi_carrier(v_emi,dataoc,oc2te,sety,pety,se_Solids,"co2",GtC_2_MtCO2,te=pe2se$all_te, name="Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)")
)
### in case of synfuel production -> add CO2 flows into synfuels to liquids and gases supply&demand emissions
### synfuel emissions are not accounted in emissions factors, but in vm_co2CCUshort.
if ( "CCU" %in% module2realisation[,1]) {
if (module2realisation["CCU",2] == "on") {
p39_co2_dem <- readGDX(gdx, "p39_co2_dem",restore_zeros = F)
p39_co2_dem <- dimReduce(p39_co2_dem[,"y2030",]) # only take one year for now
# calculate CO2 needed for synfuel production
tmp <- mbind(tmp,
setNames(p39_co2_dem[,,"MeOH"] * vm_prodSE[,,"MeOH"] * GtC_2_MtCO2 / pm_conv_TWa_EJ,
"Carbon Management|CCU|Liquids (Mt CO2/yr)"),
setNames(p39_co2_dem[,,"h22ch4"] * vm_prodSE[,,"h22ch4"] * GtC_2_MtCO2 / pm_conv_TWa_EJ,
"Carbon Management|CCU|Gases (Mt CO2/yr)"))
## add to respective total energy emissions emissions
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] <-
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Carbon Management|CCU|Liquids (Mt CO2/yr)"]
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] <-
tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Carbon Management|CCU|Gases (Mt CO2/yr)"]
}
}
tmp <- mbind(tmp,
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"),
setNames(p_share_carbonCapture_stor * tmp[,,"Emi|CO2|Carbon Capture|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Energy|Supply|Electricity|Gross (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Heat|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Gases|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Liquids|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Electricity|w/ couple prod (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|w/ couple prod (Mt CO2/yr)"
)
)
### Industry CCS emissions ##########################################################################################
# for debugging purposes
# vm_macBaseIndRed <- collapseNames(mselect(vm_macBaseInd,all_enty = "fegas",secInd37 = secInd37_2_emiInd37$secInd37))
# a <- dimSums(na.rm=TRUE,x=vm_macBaseIndRed[,,] * setNames(pm_macSwitch[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37) * setNames(pm_macAbatLev[,,secInd37_2_emiInd37$emiInd37],secInd37_2_emiInd37$secInd37),3)
if (is.null(v37_emiIndCCSmax)) { # if not enough data for calculation
tmp2 <- new.magpie(
cells_and_regions = getRegions(tmp),
years = getYears(tmp),
names = c(
paste0('Emi|CO2|Carbon Capture and Storage|IndustryCCS|',
c('fesos', 'fehos', 'fegas'), ' (Mt CO2/yr)'),
'Emi|CO2|Carbon Capture and Storage|IndustryCCS|Process (Mt CO2/yr)'),
fill = 0)
} else {
tmp2 <- vm_macBaseInd %>% # baseline emissions from fuel burning
as.quitte() %>%
select(.data$period, .data$region, .data$all_enty, .data$secInd37,
.data$value) %>%
# does NOT account for process emissions!
filter(.data$all_enty %in% fety) %>%
rename(fety = .data$all_enty) %>%
character.data.frame() %>%
# link emissions emiInd37 to industry sector secInd37
inner_join(
secInd37_2_emiInd37 %>%
filter('co2cement_process' != emiInd37),
'secInd37'
) %>%
# Industry MAC is on or off?
inner_join(
pm_macSwitch %>%
as.quitte() %>%
select(emiInd37 = .data$all_enty, pm_macSwitch = .data$value) %>%
filter(.data$emiInd37 %in% secInd37_2_emiInd37$emiInd37) %>%
mutate(emiInd37 = as.character(.data$emiInd37)),
'emiInd37'
) %>%
inner_join(
# abatement level of industry sector MAC at current CO2 price
pm_macAbatLev %>%
as.quitte() %>%
select(.data$period, .data$region, emiInd37 = .data$all_enty,
pm_macAbatLev = .data$value) %>%
filter(emiInd37 %in% secInd37_2_emiInd37$emiInd37) %>%
mutate(emiInd37 = as.character(.data$emiInd37),
region = as.character(.data$region)),
c('period', 'region', 'emiInd37')
) %>%
inner_join(
inner_join(
vm_emiIndCCS %>%
as.quitte() %>%
select(.data$period, .data$region, .data$all_enty,
vm_emiIndCCS = .data$value),
v37_emiIndCCSmax %>%
as.quitte() %>%
select(.data$period, .data$region, .data$emiInd37,
v37_emiIndCCSmax = .data$value),
c('period', 'region', 'all_enty' = 'emiInd37')
) %>%
mutate(slack = ifelse(.data$v37_emiIndCCSmax,
.data$vm_emiIndCCS / .data$v37_emiIndCCSmax, 0),
region = as.character(.data$region),
emiInd37 = as.character(.data$all_enty)) %>%
select(.data$period, .data$region, .data$emiInd37, .data$slack),
c('period', 'region', 'emiInd37')
) %>%
as_tibble() %>%
group_by(.data$period, .data$region, .data$fety) %>%
summarise(
value = sum(.data$value * .data$pm_macSwitch * .data$pm_macAbatLev * .data$slack)) %>%
ungroup() %>%
mutate(
value = .data$value * GtC_2_MtCO2,
model = NA,
scenario = NA,
variable = paste0('Emi|CO2|Carbon Capture and Storage|IndustryCCS|',
.data$fety, ' (Mt CO2/yr)')) %>%
select(.data$model, .data$scenario, .data$region, .data$variable,
.data$period, .data$value) %>%
as.quitte() %>%
as.magpie()
dimnames(tmp2) <- setNames(dimnames(tmp2), names(dimnames(tmp)))
# add cement process emissions
tmp2 <- mbind(
tmp2,
o37_cementProcessEmissions %>%
as.quitte() %>%
mutate(region = as.character(.data$region)) %>%
inner_join(
inner_join(
vm_emiIndCCS %>%
as.quitte() %>%
filter('co2cement' == .data$all_enty,
.data$period %in% as.numeric(sub('^y', '', y))) %>%
select(.data$period, .data$region, vm_emiIndCCS = .data$value),
v37_emiIndCCSmax %>%
as.quitte() %>%
filter('co2cement' == .data$emiInd37,
.data$period %in% as.numeric(sub('^y', '', y))) %>%
select(.data$period, .data$region, v37_emiIndCCSmax = .data$value),
c('period', 'region')
) %>%
mutate(slack = ifelse(.data$v37_emiIndCCSmax,
.data$vm_emiIndCCS / .data$v37_emiIndCCSmax, 0),
region = as.character(.data$region)) %>%
select(.data$period, .data$region, .data$slack),
c('period', 'region')
) %>%
inner_join(
pm_macSwitch %>%
as.quitte() %>%
filter('co2cement_process' == .data$all_enty) %>%
select(pm_macSwitch = .data$value) %>%
mutate(period = 0) %>%
complete(nesting(pm_macSwitch),
period = as.numeric(sub('^y', '', y))),
'period'
) %>%
inner_join(
# abatement level of industry sector MAC at current CO2 price
pm_macAbatLev %>%
as.quitte() %>%
filter('co2cement' == .data$all_enty) %>%
select(.data$period, .data$region, pm_macAbatLev = .data$value) %>%
mutate(region = as.character(.data$region)),
c('period', 'region')
) %>%
group_by(.data$period, .data$region) %>%
summarise(value = sum( .data$value
* .data$pm_macSwitch
* .data$pm_macAbatLev
* .data$slack)
* GtC_2_MtCO2) %>%
ungroup() %>%
as.quitte() %>%
as.magpie() %>%
setNames(
'Emi|CO2|Carbon Capture and Storage|IndustryCCS|Process (Mt CO2/yr)'))
}
tmp2 <- mbind(
tmp2,
setNames(
tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"]
+ tmp2[,,'Emi|CO2|Carbon Capture and Storage|IndustryCCS|Process (Mt CO2/yr)'],
"Emi|CO2|Carbon Capture and Storage|IndustryCCS (Mt CO2/yr)")
)
tmp2 <- mbind(
tmp2,
setNames(
tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ tmp2[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)")
)
# Rename all "Carbon Capture and Storage|IndustryCCS" to just
# "Carbon Capture|IndustryCCS" and calculate actual
# "Carbon Capture and Storage|IndustryCCS" by taking account of carbon
# captured, but not sequestered, through v_co2capturevalve
tmp2 <- mbind(
lapply(
sub(paste0('^Emi\\|CO2\\|Carbon Capture and Storage\\|IndustryCCS',
'(\\|?.*) \\(Mt CO2/yr\\)$'), '\\1', getNames(tmp2)),
function(x) {
a <- paste0('Emi|CO2|Carbon Capture and Storage|IndustryCCS', x,
' (Mt CO2/yr)')
b <- paste0('Emi|CO2|Carbon Capture|IndustryCCS', x, ' (Mt CO2/yr)')
mbind(
setNames(tmp2[,,a] * dimSums(p_share_carbonCapture_stor, dim = 3), a),
setNames(tmp2[,,a], b)
)
}
)
)
tmp <- mbind(tmp, tmp2)
rm(tmp2)
### please note: at the end of this file, regional FFI demand emissions are reduced by bunker emission values
# this variable should now only include energy demand emissions
tmp <- mbind(
tmp,
setNames(
tmp[,,"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(
tmp[,,"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)"]
- (vm_eminegregi[,,"co2cement_process"] * GtC_2_MtCO2),
"Emi|CO2|Fossil Fuels and Industry|Energy Supply (Mt CO2/yr)"
),
# setNames( vm_emiengregi[,,"co2"] * GtC_2_MtCO2
# - dimSums(na.rm=TRUE,x= (p_ef_dem[,,fety]*(1-p_bioshare[,,fety]))
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=fety),dim=c(3.1,3.3))
# ,dim=3) , "Emi|CO2|Fossil Fuels and Industry|Energy Supply|Before IndustryCCS (Mt CO2/yr)"),
setNames( tmp[,,"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"],
"Emi|CO2|FFaI|Emi to which CO2tax is applied (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames( ( p_bioshare[,,"fegas"] * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ p_bioshare[,,"fesos"] * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ p_bioshare[,,"fehos"] * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"]),
"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"),
setNames( ( (1-p_bioshare[,,"fegas"]) * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"]
+ (1-p_bioshare[,,"fesos"]) * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"]
+ (1-p_bioshare[,,"fehos"]) * tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"]),
"Emi|CO2|Carbon Capture and Storage|Fossil|Energy|Demand|Industry (Mt CO2/yr)")
)
# Direct emissions by final energy carrier ############################################################################
tmp <- mbind(tmp,
setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_Ga] * (1 - p_bioshare[,,FE_Ga]) # biomass is valued at 0 for Demand emissions
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_Ga),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Gases|Before IndustryCCS (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_Liq] * (1 - p_bioshare[,,FE_Liq]) # biomass is valued at 0 for Demand emissions
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_Liq),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Liquids|Before IndustryCCS (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_So] * (1 - p_bioshare[,,FE_So]) # biomass is valued at 0 for Demand emissions
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_So),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Solids|Before IndustryCCS (Mt CO2/yr)")
# setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_He] * (1 - p_bioshare[,,FE_He]) # biomass is valued at 0 for Demand emissions
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_He),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Heat (Mt CO2/yr)"),
# setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_H2] * (1 - p_bioshare[,,FE_H2]) # biomass is valued at 0 for Demand emissions
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_H2),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|H2 (Mt CO2/yr)"),
# setNames( dimSums(na.rm=TRUE,x=p_ef_dem[,,FE_El] * (1 - p_bioshare[,,FE_El]) # biomass is valued at 0 for Demand emissions
# * dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_El),dim=c(3.1,3.3)),dim=3) , "Emi|CO2|Energy|Demand|Electricity (Mt CO2/yr)")
#
)
# Direct emissions by final energy carrier, after industryCCS ############################################################################
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Demand|Gases|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fegas (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand|Gases|After IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Demand|Liquids|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fehos (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand|Liquids|After IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|Demand|Solids|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|fesos (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand|Solids|After IndustryCCS (Mt CO2/yr)")
)
# Indirect/Supply emissions by final energy carrier, after industryCCS ############################################################################
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Energy|Demand|Gases|Before IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Energy|Demand|Liquids|Before IndustryCCS (Mt CO2/yr)"] ,
"Emi|CO2|Energy|Supply|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] - tmp[,,"Emi|CO2|Energy|Demand|Solids|Before IndustryCCS (Mt CO2/yr)"] ,
"Emi|CO2|Energy|Supply|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames((p_share_seel_s * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p_share_seh2_s * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p_share_seliq_s * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Solids,all_enty2="co2")[pe2se],dim=3)
+ dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="sehe",all_enty2="co2")[pe2se],dim=3)
+ vm_eminegregi[,,"co2cement_process"]
) * GtC_2_MtCO2, "Emi|CO2|Other Sector|Direct and Indirect|w/o couple prod (Mt CO2/yr)"), # sectoral emissions (couple production is not considered)
setNames((p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"]
+ p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"]
+ p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ 1 * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ 1 * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ 1 * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"]
+ vm_eminegregi[,,"co2cement_process"]
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS (Mt CO2/yr)"]
), "Emi|CO2|Other Sector|Direct and Indirect|w/ couple prod (Mt CO2/yr)"), # sectoral emissions including couple production
setNames( dimSums(na.rm=TRUE,x= (p_ef_dem[,,FE_Stat_fety]*(1-p_bioshare[,,FE_Stat_fety]))
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe,all_enty1=FE_Stat_fety),dim=c(3.1,3.3))
,dim=3) , "Emi|CO2|Other Sector|Direct (Mt CO2/yr)"),
### please note: at the end of this file, regional transport emissions are reduced by bunker emission values
setNames(( p_share_seel_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p_share_seh2_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p_share_seliq_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
+ p_share_segas_t * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Transport|w/o couple prod (Mt CO2/yr)"),# sectoral emissions (couple production is not considered)
setNames(( p_share_seel_t * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"]
+ p_share_seh2_t * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"]
+ p_share_seliq_t * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
+ p_share_segas_t * tmp[,,"Emi|CO2|Energy|Supply|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]
), "Emi|CO2|Transport|w/ couple prod (Mt CO2/yr)"),
### please note: at the end of this file, regional transport emissions are reduced by bunker emission values
setNames( dimSums(na.rm=TRUE, (p_ef_dem[,,FE_Transp_fety35]*(1-p_bioshare[,,FE_Transp_fety35]))
* dimSums(na.rm=TRUE,mselect(vm_prodFe,all_enty1=FE_Transp_fety35),dim=c(3.1,3.3))
,dim=3) , "Emi|CO2|Transport|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE, p_ef_dem[,,FE_Transp_fety35]
* dimSums(na.rm=TRUE,mselect(vm_prodFe,all_enty1=FE_Transp_fety35),dim=c(3.1,3.3))
,dim=3) , "Emi|CO2|Transport|Tailpipe (Mt CO2/yr)")
)
## Add some LDV specific emission reporting (complex module only)
if(tran_mod == "complex"){
LDV35 <- readGDX(gdx,"LDV35")
tmp <- mbind(
tmp,
setNames(( p35_share_seel_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seh2_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seliq_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Road|LDV (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35][fe2ue]
* dimSums(na.rm=TRUE,mselect(vm_demFe,all_enty=FE_Transp_fety35,all_te=LDV35),dim=c(3.2,3.3))[fe2ue]
,dim=3) , "Emi|CO2|Transport|Pass|Road|LDV|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35][fe2ue]*(1-p_bioshare[,,FE_Transp_fety35])[fe2ue]
* dimSums(na.rm=TRUE,mselect(vm_demFe,all_enty=FE_Transp_fety35,all_te=LDV35),dim=c(3.2,3.3))[fe2ue]
,dim=3) , "Emi|CO2|Transport|Pass|Road|LDV|Demand (Mt CO2/yr)"),
setNames( p35_share_seel_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Road|LDV|Electricity (Mt CO2/yr)"),
setNames( p35_share_seh2_t_ldv * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Road|LDV|Hydrogen (Mt CO2/yr)")
)
}else if(tran_mod == "edge_esm"){
fe2es_dyn35 <- readGDX(gdx,c("fe2es_dyn35"), format = "first_found")
vm_demFeForEs_trnsp = vm_demFeForEs[fe2es_dyn35]
## Emission shares for technologies
tmp <- mbind(
tmp,
## Full Emissions (including upstream!)
setNames(p35_share_seel_psm * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Electricity (Mt CO2/yr)"),
setNames(p35_share_seh2_psm * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Hydrogen (Mt CO2/yr)"),
setNames(p35_share_seliq_psm * dimSums(na.rm=TRUE,x=mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_seliq_fsm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Freight|Short-Medium Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_seliq_pl * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Long Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_seliq_fl * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Freight|Long Distance|Liquids (Mt CO2/yr)"),
setNames(p35_share_sega_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
* GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance|Gases (Mt CO2/yr)"),
setNames((p35_share_seel_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1="seel",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seh2_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1="seh2",all_enty2="co2")[pe2se],dim=3)
+ p35_share_seliq_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Liq,all_enty2="co2")[pe2se],dim=3)
+ p35_share_sega_psm * dimSums(na.rm=TRUE,mselect(v_emi,all_enty1=se_Gas,all_enty2="co2")[pe2se],dim=3)
) * GtC_2_MtCO2, "Emi|CO2|Transport|Pass|Short-Medium Distance (Mt CO2/yr)"),
## Demand Side Emissions
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35]*(1-p_bioshare[,,FE_Transp_fety35]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_sm", pmatch=T], dim=c(3.2, 3.3))[,,FE_Transp_fety35], dim=3), "Emi|CO2|Transport|Pass|Short-Medium Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,c("fedie", "feelt", "fegat")]*(1-p_bioshare[,,c("fedie", "feelt", "fegat")]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_sm", pmatch=T], dim=c(3.2, 3.3))[,,c("fedie", "feelt", "fegat")], dim=3), "Emi|CO2|Transport|Freight|Short-Medium Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"]*(1-p_bioshare[,,"fedie"]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Pass|Long Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"]*(1-p_bioshare[,,"fedie"]) * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Freight|Long Distance|Demand (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,FE_Transp_fety35] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_sm", pmatch=T], dim=c(3.2, 3.3))[,,FE_Transp_fety35], dim=3), "Emi|CO2|Transport|Pass|Short-Medium Distance|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,c("fedie", "feelt", "fegat")] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_sm", pmatch=T], dim=c(3.2, 3.3))[,,c("fedie", "feelt", "fegat")], dim=3), "Emi|CO2|Transport|Freight|Short-Medium Distance|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "pass_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Pass|Long Distance|Tailpipe (Mt CO2/yr)"),
setNames( dimSums(na.rm=TRUE,p_ef_dem[,,"fedie"] * dimSums(na.rm=TRUE,vm_demFeForEs_trnsp[,, "frgt_lo", pmatch=T], dim=c(3.2, 3.3))[,,"fedie"], dim=3), "Emi|CO2|Transport|Freight|Long Distance|Tailpipe (Mt CO2/yr)"))
}
### total energy supply and energy demand emissions
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Demand|Gases|After IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Demand|Liquids|After IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Demand|Solids|After IndustryCCS (Mt CO2/yr)"],
"Emi|CO2|Energy|Demand (Mt CO2/yr)"))
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply (Mt CO2/yr)"))
### CDR/CCU emissions ##########################################################################################
### moved here to include industry CCS
# calculate CCU/CDR share parameters
### share of captured carbon that is biogenic
# technology (pe2se technology cco2 + industry cco2 biomass)/captured co2
p_share_cco2_bio <- (
(dimSums(v_emi[,,pebio][,,"cco2"], dim=3) +
collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]/
GtC_2_MtCO2))/
vm_co2capture)
p_share_cco2_bio[is.na(p_share_cco2_bio)] <- 0
# share of captured carbon from pe2se technologies
p_share_cco2_pe2se <- collapseNames(dimSums(v_emi[,,][,,"cco2"], dim=3)/
vm_co2capture)
p_share_cco2_pe2se[is.na(p_share_cco2_pe2se)] <- 0
#share of biogenic captured carbon from pe2se technologies
p_share_cco2_bio_pe2se <- collapseNames(dimSums(v_emi[,,pebio][,,"cco2"], dim=3)/
vm_co2capture)
p_share_cco2_bio_pe2se[is.na(p_share_cco2_bio_pe2se)] <- 0
# share of captured carbon from DAC
p_share_cco2_DAC <- replace_non_finite(-v33_emiDAC / vm_co2capture)
# share of captured carbon from industry
p_share_cco2_ind <- dimSums(vm_emiIndCCS[,y,], dim=3) / vm_co2capture
p_share_cco2_ind[is.na(p_share_cco2_ind)] <- 0
# share of captured fossil carbon from industry
p_share_cco2_ind_fos <- (dimSums(vm_emiIndCCS[,y,], dim=3)-tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]/
GtC_2_MtCO2) / vm_co2capture
p_share_cco2_ind_fos[is.na(p_share_cco2_ind_fos)] <- 0
# LUC CDR, report only negative values of CO2 LUC as CDR
CDRco2luc <- new.magpie(getRegions(vm_eminegregi),getYears(vm_eminegregi),magclass::getNames(vm_eminegregi),fill=0)
CDRco2luc <- vm_eminegregi
CDRco2luc[CDRco2luc>0] <- 0
tmp <- mbind(
tmp,
setNames(
CDRco2luc[,,"co2luc"] * GtC_2_MtCO2,
"Emi|CO2|CDR|Land-Use Change (Mt CO2/yr)"),
# bioenergy carbon capture: pe2se technology cco2 + industry cco2 biomass
setNames(
(dimSums(mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"), dim = 3)
* GtC_2_MtCO2
+ collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]))*(-1),
"Emi|CO2|BECC (Mt CO2/yr)"),
# bioenergy carbon capture: pe2se technology cco2 + industry cco2 biomass
setNames(
(dimSums(mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"), dim = 3)
* GtC_2_MtCO2
+ collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]))
* p_share_carbonCapture_stor
* (-1),
"Emi|CO2|CDR|BECCS (Mt CO2/yr)"),
setNames(v33_emiEW[,,"emiEW"] * GtC_2_MtCO2, "Emi|CO2|CDR|EW (Mt CO2/yr)"),
setNames(v33_emiDAC[,,"emiDAC"] * GtC_2_MtCO2, "Emi|CO2|DAC (Mt CO2/yr)"),
setNames(
v33_emiDAC[,,"emiDAC"]
* p_share_carbonCapture_stor
* GtC_2_MtCO2,
"Emi|CO2|CDR|DACCS (Mt CO2/yr)"),
setNames(
v33_emiDAC[,,"emiDAC"] * GtC_2_MtCO2 * (-1),
"Carbon Sequestration|Direct Air Capture (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(
( v33_emiEW[,,"emiEW"]
+ ( ( v33_emiDAC[,,"emiDAC"]
- dimSums(
mselect(v_emi, all_enty = pebio, all_enty2 = "cco2"),
dim = 3)
- collapseNames(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Energy|Demand|Industry (Mt CO2/yr)"]/
GtC_2_MtCO2)
)
* p_share_carbonCapture_stor
)
+ CDRco2luc[,,"co2luc"]
)
* GtC_2_MtCO2,
"Emi|CO2|CDR (Mt CO2/yr)"),
setNames(
dimSums(mselect(vm_co2capture, all_enty = "cco2"), dim = 3)
* GtC_2_MtCO2,
"Carbon Sequestration|CC (Mt CO2/yr)"),
setNames(
vm_co2CCS[,,"cco2.ico2.ccsinje.1"] * GtC_2_MtCO2,
"Carbon Sequestration|CCS (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * GtC_2_MtCO2,
"Carbon Sequestration|CCU (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_bio * GtC_2_MtCO2,
"Carbon Sequestration|CCU|Biomass (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_DAC * GtC_2_MtCO2,
"Carbon Sequestration|CCU|DAC (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * (1-p_share_cco2_DAC-p_share_cco2_bio) *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Fossil (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_ind *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Industry (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_ind_fos *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Industry|Fossil (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * (p_share_cco2_ind - p_share_cco2_ind_fos) *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Industry|Biomass (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * p_share_cco2_bio_pe2se *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Pe2Se|Biomass (Mt CO2/yr)"),
setNames(
dimSums(vm_co2CCUshort,dim=3) * (p_share_cco2_pe2se - p_share_cco2_bio_pe2se) *
GtC_2_MtCO2,
"Carbon Sequestration|CCU|Pe2Se|Fossil (Mt CO2/yr)")
)
# cumulative CDR emissions
tmp <- mbind(tmp,
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|Land-Use Change (Mt CO2/yr)"]), "Emi|CO2|CDR|Land-Use Change|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|BECCS (Mt CO2/yr)"]), "Emi|CO2|CDR|BECCS|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|EW (Mt CO2/yr)"]), "Emi|CO2|CDR|EW|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR|DACCS (Mt CO2/yr)"]), "Emi|CO2|CDR|DACCS|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Carbon Sequestration|CCS (Mt CO2/yr)"]), "Carbon Sequestration|CCS|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|CDR (Mt CO2/yr)"]), "Emi|CO2|CDR|Cumulated (Mt CO2/yr)")
)
## create the normal aliases for the more detailed names that specify that couple production is included
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Energy|Supply|Electricity (Mt CO2/yr)"),
### please note: at the end of this file, regional transport emissions are reduced by bunker emission values
setNames(tmp[,,"Emi|CO2|Transport|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Transport (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"], "Emi|CO2|Transport|Direct (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Other Sector|Direct and Indirect|w/ couple prod (Mt CO2/yr)"], "Emi|CO2|Other Sector|Direct and Indirect (Mt CO2/yr)"),
setNames(tmp[,,"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)"], "Emi|CO2|Fossil Fuels and Industry|Demand (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"] + tmp[,,"Emi|CO2|Energy|Demand (Mt CO2/yr)"] ,
"Emi|CO2|Energy (Mt CO2/yr)"))
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|w/ couple prod (Mt CO2/yr)"] -
tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Non-Elec|Gross (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(
tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Energy|Supply|Electricity (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Non-Elec (Mt CO2/yr)")
)
tmp <- mbind(tmp,
setNames(-1 * tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"],
"Emi|CO2|Carbon Capture and Storage|Biomass|Neg (Mt CO2/yr)") )
tmp <- mbind(tmp,
setNames(tmp[,,"Emi|CO2|Energy|Supply (Mt CO2/yr)"] +
tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass|Supply|w/ couple prod (Mt CO2/yr)"],
"Emi|CO2|Energy|Supply|Gross (Mt CO2/yr)"))
tmp <- mbind(tmp,
setNames(cumulatedValue(tmp[,,"Emi|CO2|Energy|Supply|Non-Elec (Mt CO2/yr)"]), "Emi|CO2|Energy|Supply|Non-Elec|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross (Mt CO2/yr)"]), "Emi|CO2|Energy|Supply|Electricity|Gross|Cumulated (Mt CO2/yr)")
)
### If Buildings Industry Structure ############################################################################
if (is.null(ppfen_stat)) {
if (indu_mod %in% c('fixed_shares', 'subsectors')) {
tmp.emi.ind.dir <- setNames(
dimSums(x=o37_emiInd[,,"co2"], dim = 3, na.rm = TRUE)
* GtC_2_MtCO2,
"Emi|CO2|Industry|Direct|FromGamsCalculation (Mt CO2/yr)")
} else {
tmp.emi.ind.dir <- setNames(
dimSums(na.rm=TRUE,x=( p_ef_dem[,,FE_Stat_fety]
* (1 - p_bioshare[,,FE_Stat_fety])
* p_share_fety_i[,,FE_Stat_fety]
)
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe, all_enty1 = FE_Stat_fety), dim = c(3.1, 3.3)),
dim = 3)
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)"],
"Emi|CO2|Industry|Direct|BeforeTradBiomassCorr (Mt CO2/yr)")
}
# FIXME: This will break the reporting if an unlisted industry module will
# is used. See issue #2399
tmp <- mbind(tmp,
setNames(
( dimSums(na.rm=TRUE,
( p_ef_dem[,,FE_Stat_fety]
* (1 - p_bioshare[,,FE_Stat_fety])
* p_share_fety_i[,,FE_Stat_fety]
)
* dimSums(na.rm=TRUE,mselect(vm_prodFe, all_enty1 = FE_Stat_fety),
dim = c(3.1, 3.3)),
dim = 3)
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)"]
),
"Emi|CO2|Industry|Direct|BeforeTradBiomassCorr (Mt CO2/yr)")
)
tmp <- mbind(
tmp,
setNames(collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"]) ,
"Emi|CO2|Buildings|Electricity (Mt CO2/yr)"),
setNames(collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Hydrogen (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Liquids (Mt CO2/yr)"),
setNames(collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Gases (Mt CO2/yr)"),
setNames(collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Solids|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Heat (Mt CO2/yr)"),
setNames(( collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"])
), "Emi|CO2|Buildings|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(dimSums(na.rm=TRUE, ( p_ef_dem[,,FE_Stat_fety]
* (1 - p_bioshare[,,FE_Stat_fety])
* p_share_fety_b[,,FE_Stat_fety]
)
* dimSums(na.rm=TRUE,x=mselect(vm_prodFe, all_enty1 = FE_Stat_fety), dim = c(3.1, 3.3)),
dim = 3) ,
"Emi|CO2|Buildings|Direct|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Electricity|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Hydrogen|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Liquids|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Gases|Gross (Mt CO2/yr)"),
setNames(collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Solids|Gross|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"]),
"Emi|CO2|Buildings|Heat|Gross (Mt CO2/yr)"),
setNames(( collapseNames(p_share_feels_b * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_b * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_b * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_b * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_b * tmp[,,"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"])
), "Emi|CO2|Buildings|Direct and Indirect|Gross|BeforeTradBiomassCorr (Mt CO2/yr)"),
# Indirect gets calculated as difference further down in tmp4
setNames(( collapseNames(p_share_feels_i * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_i * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_i * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_i * tmp[,,"Emi|CO2|Energy|Supply|Heat|w/ couple prod (Mt CO2/yr)"])
- tmp[,,"Emi|CO2|Carbon Capture and Storage|IndustryCCS|Energy (Mt CO2/yr)"] ## all industry CCS happens in industry
), "Emi|CO2|Industry|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"),
setNames(( collapseNames(p_share_feels_i * p_share_seel_s * tmp[,,"Emi|CO2|Energy|Supply|Electricity|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_feh2s_i * p_share_seh2_s * tmp[,,"Emi|CO2|Energy|Supply|Hydrogen|Gross|w/ couple prod (Mt CO2/yr)"])
+ collapseNames(p_share_fehos_i * p_share_seliq_s * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Liquids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fegas_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Gases|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fesos_i * tmp[,,"Emi|CO2|Energy|SupplyandDemand|Solids|Gross|w/ couple prod|Before IndustryCCS (Mt CO2/yr)"])
+ collapseNames(p_share_fehes_i * tmp[,,"Emi|CO2|Energy|Supply|Heat|Gross|w/ couple prod (Mt CO2/yr)"])
), "Emi|CO2|Industry|Direct and Indirect|Gross|BeforeTradBiomassCorr (Mt CO2/yr)"),
tmp.emi.ind.dir)
}
### calculate indirect transport emissions
tmp <- mbind(tmp,setNames( tmp[,,"Emi|CO2|Transport (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Transport|Direct (Mt CO2/yr)"]
,"Emi|CO2|Transport|Indirect (Mt CO2/yr)")) # For Transport, "direct" was called "demand" before
### cumulated
### please note: at the end of this file, regional values for "Emi|CO2|Cumulated", "Emi|CO2|Fossil Fuels and Industry|Cumulated" and "Emi|CO2|Gross Fossil Fuels and Industry|Cumulated" are adjusted (substracting bunkers)
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Carbon Capture and Storage (Mt CO2/yr)"]),"Emi|CO2|Carbon Capture and Storage|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Carbon Capture and Storage|Fossil|Pe2Se (Mt CO2/yr)"]),"Emi|CO2|Carbon Capture and Storage|Fossil|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Carbon Capture and Storage|Biomass (Mt CO2/yr)"]),"Emi|CO2|Carbon Capture and Storage|Biomass|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2 (Mt CO2/yr)"]), "Emi|CO2|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Energy|Supply|Electricity (Mt CO2/yr)"]), "Emi|CO2|Electricity Production|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"]), "Emi|CO2|Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"]), "Emi|CO2|Gross Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Land-Use Change (Mt CO2/yr)"]), "Emi|CO2|Land-Use Change|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Other Sector|Direct and Indirect (Mt CO2/yr)"]), "Emi|CO2|Other Sector|Cumulated (Mt CO2/yr)"))
tmp <- mbind(tmp,setNames(cumulatedValue(tmp[,,"Emi|CO2|Transport (Mt CO2/yr)"]), "Emi|CO2|Transport|w/ Bunkers|Cumulated (Mt CO2/yr)"))
### F-Gases ###############################################################################
tmp1 <- NULL
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasC2F6"], "Emi|C2F6 (kt C2F6/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasC6F14"], "Emi|C6F14 (kt C6F14/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasCF4"], "Emi|CF4 (kt CF4/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasTotal"], "Emi|F-Gases (Mt CO2-equiv/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC"], "Emi|HFC (kt HFC134a-equiv/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC125"], "Emi|HFC|HFC125 (kt HFC125/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC134a"], "Emi|HFC|HFC134a (kt HFC134a/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC143a"], "Emi|HFC|HFC143a (kt HFC143a/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC227ea"], "Emi|HFC|HFC227ea (kt HFC227ea/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC23"], "Emi|HFC|HFC23 (kt HFC23/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC245fa"], "Emi|HFC|HFC245fa (kt HFC245fa/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC32"], "Emi|HFC|HFC32 (kt HFC32/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasHFC43-10"], "Emi|HFC|HFC43-10 (kt HFC43-10/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasPFC"], "Emi|PFC (kt CF4-equiv/yr)"))
tmp1 <- mbind(tmp1,setNames( p_emi_fgas[,,"emiFgasSF6"], "Emi|SF6 (kt SF6/yr)"))
### CH4 ###############################################################################
tmp2 <- NULL
tmp2 <- mbind(tmp2,setNames( vm_sumeminegregi[,,"ch4"] + vm_emiengregi[,,"ch4"], "Emi|CH4 (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( cumulatedValue(tmp2[,,"Emi|CH4 (Mt CH4/yr)"]), "Emi|CH4|Cumulated (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_emiengregi[,,"ch4"], "Emi|CH4|Energy Demand|ResCom (Mt CH4/yr)"))
tmp2 <- mbind(
tmp2,
setNames(vm_eminegregi[,,"ch4coal"] +
vm_eminegregi[,,"ch4gas"] +
vm_eminegregi[,,"ch4oil"],
"Emi|CH4|Energy Supply (Mt CH4/yr)"),
setNames(vm_eminegregi[,,"ch4coal"], "Emi|CH4|Energy Supply|Coal (Mt CH4/yr)"),
setNames(vm_eminegregi[,,"ch4gas"], "Emi|CH4|Energy Supply|Gas (Mt CH4/yr)"),
setNames(vm_eminegregi[,,"ch4oil"], "Emi|CH4|Energy Supply|Oil (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4coal"] + vm_eminegregi[,,"ch4gas"]
+ vm_eminegregi[,,"ch4oil"] + vm_emiengregi[,,"ch4"], "Emi|CH4|Energy Supply and Demand (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4coal"] + vm_eminegregi[,,"ch4gas"]
+ vm_eminegregi[,,"ch4oil"], "Emi|CH4|Fossil Fuels and Industry (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( dimSums(na.rm=TRUE,vm_eminegregi[,,emismacmagpiech4],dim=3), "Emi|CH4|Land Use (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4rice"], "Emi|CH4|Land Use|+|Rice (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4anmlwst"], "Emi|CH4|Land Use|+|Animal waste management (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( vm_eminegregi[,,"ch4animals"], "Emi|CH4|Land Use|+|Enteric fermentation (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( dimSums(na.rm=TRUE,vm_macBase[,,emiMacExoCH4],dim=3), "Emi|CH4|Other (Mt CH4/yr)"))
tmp2 <- mbind(tmp2,setNames( (vm_eminegregi[,,"ch4wstl"] + vm_eminegregi[,,"ch4wsts"]),"Emi|CH4|Waste (Mt CH4/yr)"))
### N2O ################################################################################
tmp3 <- NULL
MtN2_to_ktN2O <- 44 / 28 * 1000
tmp3 <- mbind(tmp3,setNames((vm_sumeminegregi[,,"n2o"] + vm_emiengregi[,,"n2o"]) * MtN2_to_ktN2O, "Emi|N2O (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames(cumulatedValue(tmp3[,,"Emi|N2O (kt N2O/yr)"]), "Emi|N2O|Cumulated (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_emiengregi[,,"n2o"] + vm_eminegregi[,,"n2otrans"]) * MtN2_to_ktN2O, "Emi|N2O|Energy Supply and Demand (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_emiengregi[,,"n2o"]) * MtN2_to_ktN2O, "Emi|N2O|Energy Supply (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_eminegregi[,,"n2otrans"]) * MtN2_to_ktN2O, "Emi|N2O|Energy Demand|Transport (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( dimSums(na.rm=TRUE,vm_eminegregi[,,emismacmagpien2o],dim=3) * MtN2_to_ktN2O, "Emi|N2O|Land Use (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( vm_eminegregi[,,"n2oanwstm"] * MtN2_to_ktN2O, "Emi|N2O|Land Use|+|Animal Waste Management (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( dimSums(na.rm=TRUE,vm_eminegregi[,,c("n2ofertin","n2oanwstc","n2ofertcr","n2ofertsom","n2oanwstp")],dim=3) * MtN2_to_ktN2O, "Emi|N2O|Land Use|+|Agricultural Soils (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_eminegregi[,,"n2owaste"]) * MtN2_to_ktN2O, "Emi|N2O|Waste (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames((vm_eminegregi[,,"n2oadac"] + vm_eminegregi[,,"n2onitac"] ) * MtN2_to_ktN2O, "Emi|N2O|Industry (kt N2O/yr)"))
tmp3 <- mbind(tmp3,setNames( dimSums(vm_macBase[,,emiMacExoN2O],dim=3) * MtN2_to_ktN2O, "Emi|N2O|Other (kt N2O/yr)"))
### Other ###############################################################################
tmp4 <- NULL
### If Buildings Industry Structure
if (is.null(ppfen_stat)) {
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2|Buildings|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Buildings|Direct|BeforeTradBiomassCorr (Mt CO2/yr)"]
,"Emi|CO2|Buildings|Indirect (Mt CO2/yr)"))
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2|Industry|Direct and Indirect|BeforeTradBiomassCorr (Mt CO2/yr)"]
- tmp[,,"Emi|CO2|Industry|Direct|BeforeTradBiomassCorr (Mt CO2/yr)"]
,"Emi|CO2|Industry|Indirect (Mt CO2/yr)"))
tmp4 <- mbind(tmp4,setNames( tmp4[,,"Emi|CO2|Industry|Indirect (Mt CO2/yr)"]
+ tmp4[,,"Emi|CO2|Buildings|Indirect (Mt CO2/yr)"]
+ tmp[,,"Emi|CO2|Transport|Indirect (Mt CO2/yr)"]
,"Emi|CO2|Fossil Fuels and Industry|Indirect (Mt CO2/yr)"))
}
tmp4 <- mbind(tmp4,setNames(v_co2eq * GtC_2_MtCO2, "Emi|GHG|International Trading System (Mt CO2-equiv/yr)"))
if(cm_emiscen==1|cm_emiscen==9){
tmp4 <- mbind(tmp4,setNames(tmp4[,,"Emi|GHG|International Trading System (Mt CO2-equiv/yr)"],"Emi|Allowances (Mt CO2-equiv/yr)"))
}else{
tmp4 <- mbind(tmp4,setNames(vm_perm * GtC_2_MtCO2, "Emi|Allowances (Mt CO2-equiv/yr)"))
}
### please note: at the end of this file, regional GHGtot emissions are reduced by bunker emission values emissions are reduced by bunker emission values
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2 (Mt CO2/yr)"]
+ s_GWP_CH4 * tmp2[,,"Emi|CH4 (Mt CH4/yr)"]
+ s_GWP_N2O * tmp3[,,"Emi|N2O (kt N2O/yr)"] / 1000, "Emi|GHGtot (Mt CO2-equiv/yr)"))
tmp4 <- mbind(tmp4,setNames(cumulatedValue(tmp4[,,"Emi|GHGtot (Mt CO2-equiv/yr)"]), "Emi|GHGtot|Cumulated (Mt CO2-equiv/yr)"))
### please note: at the end of this file, regional Kyoto emissions are reduced by bunker emission values emissions are reduced by bunker emission values
tmp4 <- mbind(tmp4,setNames( tmp[,,"Emi|CO2 (Mt CO2/yr)"]
+ s_GWP_CH4 * tmp2[,,"Emi|CH4 (Mt CH4/yr)"]
+ s_GWP_N2O * tmp3[,,"Emi|N2O (kt N2O/yr)"] / 1000
+ tmp1[,,"Emi|F-Gases (Mt CO2-equiv/yr)"], "Emi|Kyoto Gases (Mt CO2-equiv/yr)"))
# this variable contains the value without bunkers even for the GLO total. For the regions, it is identical to the one above (after adjustment at the end of this file)
if(tran_mod == "complex"){
p35_bunker_share_in_nonldv_fe <- readGDX(gdx, c("pm_bunker_share_in_nonldv_fe","p35_bunker_share_in_nonldv_fe"),format="first_found")[,y,]
tmp4 <- mbind(tmp4,setNames( tmp4[,,"Emi|Kyoto Gases (Mt CO2-equiv/yr)"]-
p35_bunker_share_in_nonldv_fe*(tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"]-tmp[,,"Emi|CO2|Transport|Pass|Road|LDV|Demand (Mt CO2/yr)"]),
"Emi|Kyoto Gases|w/o Bunkers (Mt CO2-equiv/yr)"))
tmp4 <- mbind(tmp4,setNames( p35_bunker_share_in_nonldv_fe*(tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"]-tmp[,,"Emi|CO2|Transport|Pass|Road|LDV|Demand (Mt CO2/yr)"]),
"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"))
}else if(tran_mod == "edge_esm"){
## Int. Freight and Aviation (Bunker) Emissions
tmp4 <- mbind(tmp4, setNames(p35_share_feliq_lo * tmp[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"], "Emi|CO2|Transport|Bunkers (Mt CO2/yr)"))
## Kyoto w/o bunkers
tmp4 <- mbind(tmp4, setNames(tmp4[,,"Emi|Kyoto Gases (Mt CO2-equiv/yr)"]-tmp4[,,"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"], "Emi|Kyoto Gases|w/o Bunkers (Mt CO2-equiv/yr)"))
}
## Cumulated Bunker Emissions
tmp4 <- mbind(tmp4,setNames(cumulatedValue(tmp4[,,"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"]), "Emi|CO2|Transport|Bunkers|Cumulated (Mt CO2/yr)"))
## Kyoto Gases w/o Bunkers and Landuse
tmp4 <- mbind(tmp4,setNames(tmp4[,,"Emi|Kyoto Gases|w/o Bunkers (Mt CO2-equiv/yr)"]-tmp[,,"Emi|CO2|Land-Use Change (Mt CO2/yr)"],
"Emi|Kyoto Gases excl Land-Use Change|w/o Bunkers (Mt CO2-equiv/yr)" ))
out <- mbind(tmp,tmp1,tmp2,tmp3,tmp4)
# ---- report industry CCS emissions ----############################################################################
if (!is.null(o37_emiInd) & length(o37_emiInd) != 0) {
var <- list(
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "cement",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "cement",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "cement",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "chemicals",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "chemicals",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "chemicals",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "steel",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "steel",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "steel",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "otherInd",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "otherInd",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "otherInd",
all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other (Mt CO2/yr)",
code = list(secInd37 = "otherInd", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Fuel (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Chemicals|Fuel (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Steel|Fuel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|other|Fuel (Mt CO2/yr)",
code = list(secInd37 = "otherInd", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", all_enty1 = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", all_enty1 = "co2")),
# captured CO2
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "cement",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "cement",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "cement",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
secInd37 = "cement", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "chemicals",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "chemicals",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "chemicals",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
secInd37 = "chemicals", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", secInd37 = "steel",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", secInd37 = "steel",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", secInd37 = "steel",
all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
secInd37 = "steel", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Fuel (Mt CO2/yr)",
code = list(secInd37 = "cement", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Chemicals|Fuel (Mt CO2/yr)",
code = list(secInd37 = "chemicals", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Steel|Fuel (Mt CO2/yr)",
code = list(secInd37 = "steel", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Coal (Mt CO2/yr)",
code = list(all_enty = "pecoal", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Oil (Mt CO2/yr)",
code = list(all_enty = "peoil", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Gas (Mt CO2/yr)",
code = list(all_enty = "pegas", all_enty1 = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Biomass (Mt CO2/yr)",
code = list(all_enty = list("pebiolc", "pebioil"),
all_enty1 = "cco2"))
)
# compute industry emissions from fuel combustion
o37_emiInd[is.na(o37_emiInd)] <- 0
fuel.emissions <- mbind(
lapply(var,
function(x) {
setNames(dimSums(na.rm=TRUE,x=mselect(o37_emiInd, x$code)) * GtC_2_MtCO2,
x$name)
}
)
)
# Adjust Emi|C?CO2|FFaI|Industry variables by the share of sequestered
# carbon (out of captured carbon).
# for all CO2 variables that have a corresponding CCO2 variable
names_CO2 <- getNames(fuel.emissions)[rev(duplicated(
sub('\\|CCO2', '|CO2', rev(getNames(fuel.emissions)))))]
for (x_CO2 in names_CO2) {
x_CCO2 <- sub('\\|CO2', '|CCO2', x_CO2)
# CO2' = CO2 + CCO2 * (1 - storage_share)
fuel.emissions[,,x_CO2] <- (
fuel.emissions[,,x_CO2]
+ fuel.emissions[,,x_CCO2] * (1 - p_share_carbonCapture_stor)
)
}
# for all CCO2 variables
names_CCO2 <- grep('\\|CCO2', getNames(fuel.emissions), value = TRUE)
# CCO2' = CCO2 * storage_share
fuel.emissions[,,names_CCO2] <- (
fuel.emissions[,,names_CCO2] * p_share_carbonCapture_stor
)
# compute industry process emissions
var <- list(
list(name = "Emi|CO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(all_enty = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Cement|Process (Mt CO2/yr)",
code = list(all_enty = "co2")),
list(name = "Emi|CO2|FFaI|Industry|Process (Mt CO2/yr)",
code = list(all_enty = "co2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement (Mt CO2/yr)",
code = list(all_enty = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Cement|Process (Mt CO2/yr)",
code = list(all_enty = "cco2")),
list(name = "Emi|CCO2|FFaI|Industry|Process (Mt CO2/yr)",
code = list(all_enty = "cco2"))
)
ife <- which(
grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(fuel.emissions)))
infe <- which(
!grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(fuel.emissions)))
if (length(o37_cementProcessEmissions)) {
process.emissions <- mbind(
lapply(var,
function(x) {
setNames(
( dimSums(na.rm=TRUE,x=mselect(o37_cementProcessEmissions, x$code))
* GtC_2_MtCO2
),
x$name)
}
)
)
# Adjust Emi|C?CO2|FFaI|Industry variables by the share of sequestered
# carbon (out of captured carbon).
# for all CO2 variables that have a corresponding CCO2 variable
names_CO2 <- getNames(process.emissions)[rev(duplicated(
sub('\\|CCO2', '|CO2', rev(getNames(process.emissions)))))]
for (x_CO2 in names_CO2) {
x_CCO2 <- sub('\\|CO2', '|CCO2', x_CO2)
# CO2' = CO2 + CCO2 * (1 - storage_share)
process.emissions[,,x_CO2] <- (
process.emissions[,,x_CO2]
+ process.emissions[,,x_CCO2] * (1 - p_share_carbonCapture_stor)
)
}
# for all CCO2 variables
names_CCO2 <- grep('\\|CCO2', getNames(process.emissions), value = TRUE)
# CCO2' = CCO2 * storage_share
process.emissions[,,names_CCO2] <- (
process.emissions[,,names_CCO2] * p_share_carbonCapture_stor
)
ipe <- which(
grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(process.emissions)))
inpe <- which(
!grepl("Emi\\|C?CO2\\|FFaI\\|Industry\\|Cement \\(Mt CO2/yr\\)",
magclass::getNames(process.emissions)))
out <- mbind(
out,
fuel.emissions[,,ife] + process.emissions[,,ipe],
fuel.emissions[,,infe],
process.emissions[,,inpe]
)
} else {
out <- mbind(
out,
fuel.emissions[,,ife],
fuel.emissions[,,infe]
)
}
}
# add global values
out <- mbind(out,dimSums(na.rm=TRUE,x=out,dim=1))
# add other region aggregations
if (!is.null(regionSubsetList))
out <- mbind(out, calc_regionSubset_sums(out, regionSubsetList))
# correction of variables containing bunker fuel emissions:
all_regs <- getRegions(out)
# first copy variables to new names w/ bunkers:
out <- mbind(
out,
setNames( out[,,"Emi|CO2 (Mt CO2/yr)"], "Emi|CO2|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)"], "Emi|CO2|Fossil Fuels and Industry|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)"], "Emi|CO2|Gross Fossil Fuels and Industry|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)"],"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)"],"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Energy (Mt CO2/yr)"],"Emi|CO2|Energy|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Energy|Demand (Mt CO2/yr)"],"Emi|CO2|Energy|Demand|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|Kyoto Gases (Mt CO2-equiv/yr)"], "Emi|Kyoto Gases|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|GHGtot (Mt CO2-equiv/yr)"], "Emi|GHGtot|w/ Bunkers (Mt CO2-equiv/yr)"),
setNames( out[,,"Emi|CO2|Transport (Mt CO2/yr)"], "Emi|CO2|Transport|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"], "Emi|CO2|Transport|Demand|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Transport|Direct (Mt CO2/yr)"], "Emi|CO2|Transport|Direct|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Transport|w/o couple prod (Mt CO2/yr)"], "Emi|CO2|Transport|w/o couple prod|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Cumulated (Mt CO2/yr)"], "Emi|CO2|Cumulated|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"], "Emi|CO2|Fossil Fuels and Industry|Cumulated|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|CO2|Gross Fossil Fuels and Industry|Cumulated (Mt CO2/yr)"], "Emi|CO2|Gross Fossil Fuels and Industry|Cumulated|w/ Bunkers (Mt CO2/yr)"),
setNames( out[,,"Emi|GHGtot|Cumulated (Mt CO2-equiv/yr)"], "Emi|GHGtot|Cumulated|w/ Bunkers (Mt CO2-equiv/yr)")
)
# for all regions (excluding the world region "GLO")...
regs <- all_regs[all_regs!= "GLO"]
# ...and all variables that include bunker fuels...
vars_with_bunkers <- c("Emi|CO2 (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry (Mt CO2/yr)",
"Emi|CO2|Gross Fossil Fuels and Industry (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Demand|Before IndustryCCS (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Demand (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Demand|After IndustryCCS (Mt CO2/yr)",
"Emi|CO2|Energy (Mt CO2/yr)",
"Emi|CO2|Energy|Demand (Mt CO2/yr)",
"Emi|Kyoto Gases (Mt CO2-equiv/yr)",
"Emi|GHGtot (Mt CO2-equiv/yr)",
"Emi|CO2|Transport (Mt CO2/yr)",
"Emi|CO2|Transport|Demand (Mt CO2/yr)",
"Emi|CO2|Transport|Direct (Mt CO2/yr)",
"Emi|CO2|Transport|w/o couple prod (Mt CO2/yr)"
)
for (var in vars_with_bunkers){
# ...re-calculate the regional values by substracting the emissions from bunkers.
out[regs,,var] <-
out[regs,,var]-
out[regs,,"Emi|CO2|Transport|Bunkers (Mt CO2/yr)"]
}
#same as above for cumulated values
cum_with_bunkers <- c("Emi|CO2|Cumulated (Mt CO2/yr)",
"Emi|CO2|Fossil Fuels and Industry|Cumulated (Mt CO2/yr)",
"Emi|CO2|Gross Fossil Fuels and Industry|Cumulated (Mt CO2/yr)",
"Emi|GHGtot|Cumulated (Mt CO2-equiv/yr)"
)
for (var in cum_with_bunkers){
out[regs,,var] <-
out[regs,,var] -
out[regs,,"Emi|CO2|Transport|Bunkers|Cumulated (Mt CO2/yr)"]
}
# add cumulative values
out <- mbind(out,
setNames(cumulatedValue(out[,,"Emi|CO2|FFaI|Industry|Process (Mt CO2/yr)"]), "Emi|CO2|FFaI|Industry|Process|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(out[,,"Emi|CO2|Transport|Demand (Mt CO2/yr)"]), "Emi|CO2|Transport|Demand|Cumulated (Mt CO2/yr)"),
setNames(cumulatedValue(out[,,"Emi|CO2|Transport (Mt CO2/yr)"]), "Emi|CO2|Transport|Cumulated (Mt CO2/yr)")
)
# ---- report specific industry emissions ----
if ('subsectors' == indu_mod) {
out <- mbind(
out,
mbind(
lapply(
list(
# <variables to calculate> by dividing <numerator> by
# <denominator>
c('Carbon Intensity|Production|Cement (Mt CO2/Mt)',
'Emi|CO2|FFaI|Industry|Cement (Mt CO2/yr)',
'Production|Industry|Cement (Mt/yr)'),
c(paste0('Carbon Intensity|Production|Cement|Fossil|Energy|',
'Demand|Industry (Mt CO2/Mt)'),
'Emi|CO2|FFaI|Industry|Cement|Fuel (Mt CO2/yr)',
'Production|Industry|Cement (Mt/yr)'),
c(paste('Carbon Intensity|Production|Cement|Industrial Processes',
'(Mt CO2/Mt)'),
'Emi|CO2|FFaI|Industry|Cement|Process (Mt CO2/yr)',
'Production|Industry|Cement (Mt/yr)'),
c('Carbon Intensity|Production|Steel (Mt CO2/Mt)',
'Emi|CO2|FFaI|Industry|Steel (Mt CO2/yr)',
'Production|Industry|Steel (Mt/yr)'),
c(paste0('Carbon Intensity|Production|Steel|Fossil|Energy|',
'Demand|Industry (Mt CO2/Mt)'),
'Emi|CO2|FFaI|Industry|Steel|Fuel (Mt CO2/yr)',
'Production|Industry|Steel (Mt/yr)')),
function(x) {
# denominator with same dimension names as out
tmp_denominator <- `getSets<-`(
output[,,x[[3]]][c('GLO', names(regionSubsetList)),,
invert = TRUE],
value = getSets(out))
# add global and regional sums (can't be sure they exist in the
# first place)
tmp_denominator <- mbind(
tmp_denominator,
dimSums(tmp_denominator, dim = 1),
calc_regionSubset_sums(tmp_denominator, regionSubsetList))
setNames(out[,,x[[2]]] / tmp_denominator, x[[1]])
}
)
)
)
}
return(out)
}
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