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correct reporting of industry carbon captured for chemical feedstocks #609

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correct reporting of industry carbon captured for chemical feedstocks #609

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40 changes: 35 additions & 5 deletions R/reportEmi.R
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Original file line number Diff line number Diff line change
Expand Up @@ -208,6 +208,14 @@ reportEmi <- function(gdx, output = NULL, regionSubsetList = NULL,
fety = 'all_enty1', 'secInd37', 'emiMkt' = 'all_emiMkt',
o37_demFEindsub = 'value')


vm_demFENonEnergySector_tibble <- vm_demFENonEnergySector %>%
as_tibble() %>%
select(t = 'ttot', regi = 'all_regi', sety = 'all_enty',
fety = 'all_enty1', 'emiMkt' = 'all_emiMkt',
vm_demFENonEnergySector = 'value') %>%
mutate( secInd37 = "chemicals")

pm_emifac_tibble <- pm_emifac %>%
mselect(mutate(se2fe, all_enty2 = 'co2')) %>%
as_tibble() %>%
Expand All @@ -225,25 +233,45 @@ reportEmi <- function(gdx, output = NULL, regionSubsetList = NULL,

subsector_total_emissions <- inner_join(
o37_demFeIndSub_tibble,

pm_emifac_tibble,

c('t', 'regi', 'sety', 'fety')
) %>%
left_join(
vm_demFENonEnergySector_tibble,
c('t', 'regi', 'sety', 'fety', 'emiMkt', 'secInd37')
) %>%
mutate( vm_demFENonEnergySector = ifelse(is.na(.data$vm_demFENonEnergySector),
0,
.data$vm_demFENonEnergySector)) %>%

group_by(.data$t, .data$regi, .data$secInd37) %>%
summarise(
subsector_total_emissions = sum(.data$o37_demFEindsub * .data$pm_emifac),
.groups = 'drop')
summarise(
# calculate industry smokestack emissions as (FE - FE Non-energy Use) * emissions factor
subsector_total_emissions = sum( (.data$o37_demFEindsub - .data$vm_demFENonEnergySector) * .data$pm_emifac),
.groups = 'drop')


subsector_emissions <- inner_join(
o37_demFeIndSub_tibble,
pm_emifac_tibble,

c('t', 'regi', 'sety', 'fety')
) %>%

left_join(
vm_demFENonEnergySector_tibble,
c('t', 'regi', 'sety', 'fety', 'emiMkt', 'secInd37')
) %>%
mutate( vm_demFENonEnergySector = ifelse(is.na(.data$vm_demFENonEnergySector),
0,
.data$vm_demFENonEnergySector)) %>%

group_by(.data$t, .data$regi, .data$secInd37, .data$sety, .data$fety,
.data$emiMkt) %>%
summarise(
subsector_emissions = sum(.data$o37_demFEindsub * .data$pm_emifac),
subsector_emissions = sum((.data$o37_demFEindsub - .data$vm_demFENonEnergySector) * .data$pm_emifac),
.groups = 'drop')

pm_IndstCO2Captured <- subsector_emissions %>%
Expand All @@ -269,7 +297,9 @@ reportEmi <- function(gdx, output = NULL, regionSubsetList = NULL,
as.magpie(spatial = 2, temporal = 1, data = ncol(.)) %>%
ifelse(is.finite(.), ., 0) # replace NaN by 0

rm(vm_emiIndCCS_tibble, subsector_total_emissions, pm_emifac_tibble)
rm(vm_emiIndCCS_tibble, subsector_total_emissions, pm_emifac_tibble, vm_demFENonEnergySector_tibble)



# utility functions ----
# Convert a mixer table into a list that can be passed to mselect() to
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