R/zchunk_LA1012.en_bal_EFW.R
In JGCRI/gcamdata: Build the GCAM Input Datasets
Defines functions
module_energy_LA1012.en_bal_EFW
Documented in
module_energy_LA1012.en_bal_EFW
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_energy_LA1012.en_bal_EFW
#'
#' Adjustments to the IEA energy balances to account for energy-for-water processes explicitly modeled.
#'
#' @param command API command to execute
#' @param ... other optional parameters, depending on command
#' @return Depends on \code{command}: either a vector of required inputs,
#' a vector of output names, or (if \code{command} is "MAKE") all
#' the generated outputs: \code{L1012.en_bal_EJ_R_Si_Fi_Yh}.
#' @details This chunk deducts bottom-up energy-for-water (EFW) estimates from the IEA Energy Balances estimates of
#' energy consumption in the commercial and industrial sectors, applying a set of rules that ensure that resulting
#' energy demand levels are reasonable. The result is the full energy balance table with an additional EFW
#' @importFrom assertthat assert_that
#' @importFrom dplyr bind_rows distinct filter group_by left_join mutate rename right_join select ungroup
#' @importFrom tidyr replace_na
#' @author GPK January 2019
module_energy_LA1012.en_bal_EFW <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "common/iso_GCAM_regID",
FILE = "energy/calibrated_techs",
FILE = "water/EFW_mapping",
"L1011.en_bal_EJ_R_Si_Fi_Yh",
"L171.in_EJ_R_desal_F_Yh",
"L172.in_EJ_R_irr_F_Yh",
"L173.in_EJ_R_indEFWtot_F_Yh",
"L174.in_EJ_R_muniEFWtot_F_Yh"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L1012.en_bal_EJ_R_Si_Fi_Yh"))
} else if(command == driver.MAKE) {
# silence package check
year <- sector <- fuel <- GCAM_region_ID <- value <- share <- energy_EJ <-
deduction_EJ <- initial_energy_EJ <- from.sector <- from.sector.2 <-
value.1 <- value.2 <- energy_EJ.1rev <- energy_EJ.2rev <- energy_EJ_revised <-
agg_sector <- energy_EJrev <- NULL
all_data <- list(...)[[1]]
# Load required inputs
iso_GCAM_regID <- get_data(all_data, "common/iso_GCAM_regID", strip_attributes = TRUE)
calibrated_techs <- get_data(all_data, "energy/calibrated_techs", strip_attributes = TRUE)
EFW_mapping <- get_data(all_data, "water/EFW_mapping", strip_attributes = TRUE)
L1011.en_bal_EJ_R_Si_Fi_Yh <- get_data(all_data, "L1011.en_bal_EJ_R_Si_Fi_Yh", strip_attributes = TRUE)
L171.in_EJ_R_desal_F_Yh <- get_data(all_data, "L171.in_EJ_R_desal_F_Yh", strip_attributes = TRUE)
L172.in_EJ_R_irr_F_Yh <- get_data(all_data, "L172.in_EJ_R_irr_F_Yh", strip_attributes = TRUE)
L173.in_EJ_R_indEFWtot_F_Yh <- get_data(all_data, "L173.in_EJ_R_indEFWtot_F_Yh", strip_attributes = TRUE)
L174.in_EJ_R_muniEFWtot_F_Yh <- get_data(all_data, "L174.in_EJ_R_muniEFWtot_F_Yh", strip_attributes = TRUE)
# ===================================================
# This chunk adjusts each region's energy balances according to bottom-up estimates of energy-for-water
# Energy consumption is deducted from existing sectors
# Part 1: Desalination
# Notes: The attribution of desal-related energy to sectors ("flows") in the IEA Energy Balances is not known. While
# its ISIC code (494) is water supply, most of whose energy likely maps to IEA's "Commercial and public services"
# (COMMPUB), energy used for desalination at manufacturing plants, power plants, or mines will be classified with
# those. The important part for incorporation into GCAM's energy system is to minimize distortions to energy
# balances.
# 1.1 Compute the share of each desal-related (i.e., commercial and industrial) sector's energy by region, fuel, and year
L1012.desal_shares <- filter(L1011.en_bal_EJ_R_Si_Fi_Yh, sector %in% efw.DESAL_ENERGY_SECTORS) %>%
filter(fuel %in% L171.in_EJ_R_desal_F_Yh$fuel) %>%
group_by(GCAM_region_ID, fuel, year) %>%
mutate(share = value / sum(value)) %>%
replace_na(list(share = 0)) %>%
select(GCAM_region_ID, sector, fuel, year, share)
# 1.2 Deduct desalination-related energy from assigned sectors and re-balance the energy flows
# Repeat the table of energy inputs to desal by the sectors being assigned, and join in the shares from the table
# above to compute the amount of energy to deduct from each country/sector/fuel/year.
L1012.deduction_EJ_R_desal_F_Yh <- repeat_add_columns(select(L171.in_EJ_R_desal_F_Yh, -sector),
tibble(sector = efw.DESAL_ENERGY_SECTORS )) %>%
left_join_error_no_match(L1012.desal_shares,
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(deduction_EJ = energy_EJ * share) %>%
select(GCAM_region_ID, sector, fuel, year, deduction_EJ)
L1012.en_bal_EJ_R_Si_Fi_Yh_desal <- right_join(L1011.en_bal_EJ_R_Si_Fi_Yh,
L1012.deduction_EJ_R_desal_F_Yh,
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
rename(initial_energy_EJ = value)
# Stop if the desal-related deduction exceeds an exogenous fraction of available energy
stopifnot(with(subset(L1012.en_bal_EJ_R_Si_Fi_Yh_desal, initial_energy_EJ > 0),
deduction_EJ / initial_energy_EJ) < efw.MAX_COMMIND_ENERGY_DESAL)
# Replace the corresponding values in the energy balance tables
# left_join returns missing values for all unaffected sectors
L1012.en_bal_EJ_R_Si_Fi_Yh <- L1011.en_bal_EJ_R_Si_Fi_Yh %>%
left_join(select(L1012.en_bal_EJ_R_Si_Fi_Yh_desal, GCAM_region_ID, sector, fuel, year, deduction_EJ),
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
replace_na(list(deduction_EJ = 0)) %>%
mutate(value = value - deduction_EJ) %>%
select(-deduction_EJ)
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
select(rename(L171.in_EJ_R_desal_F_Yh, value = energy_EJ),
GCAM_region_ID, sector, fuel, year, value))
# Part 2: Irrigation
# Irrigation-related energy consumption also does not correspond to a single sector in the IEA Energy Balances. The
# data include an "agriculture" line item, but most nations either have zero or very little electricity
# estimated/reported. The ISIC code of irrigation (497) has no clear assignment. The method used here allows for two
# sectors to be assigned, set in EFW_mapping. At this point the energy quantities have already been checked against
# available energy and the EFW coefs have been modified as necessary. The method below first joins in the sectors
# (and energy consumption levels) from which energy is deducted, and then performs the calculations, applying limits
# on how much energy can be deducted from each sector.
L1012.deduction_EJ_R_irr_F_Yh <- rename(L172.in_EJ_R_irr_F_Yh, deduction_EJ = energy_EJ) %>%
left_join_error_no_match(select(EFW_mapping, sector, fuel, from.sector, from.sector.2),
by = c("sector", "fuel")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector = "sector", "fuel", "year")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector.2 = "sector", "fuel", "year"),
suffix = c(".1", ".2")) %>%
mutate(energy_EJ.1rev = if_else(value.1 * efw.MAX_AG_ENERGY_IRR >= deduction_EJ,
value.1 - deduction_EJ,
value.1 * (1 - efw.MAX_AG_ENERGY_IRR))) %>%
mutate(energy_EJ.2rev = if_else(value.1 * efw.MAX_AG_ENERGY_IRR >= deduction_EJ,
value.2,
value.2 + (value.1 * efw.MAX_AG_ENERGY_IRR) - deduction_EJ))
# Re-build the energy balance tables, substituting revised data for reported data, and appending the irrigation EFW
L1012.in_EJ_R_revirr1_F_Yh <- select(L1012.deduction_EJ_R_irr_F_Yh,
GCAM_region_ID, fuel, year, from.sector, energy_EJ.1rev) %>%
rename(sector = from.sector, energy_EJ_revised = energy_EJ.1rev)
L1012.in_EJ_R_revirr_F_Yh <- select(L1012.deduction_EJ_R_irr_F_Yh,
GCAM_region_ID, fuel, year, from.sector.2, energy_EJ.2rev) %>%
rename(sector = from.sector.2, energy_EJ_revised = energy_EJ.2rev) %>%
bind_rows(L1012.in_EJ_R_revirr1_F_Yh)
# Append irrigation EFW, and join revisions to ag and commercial energy back into the energy balances table
# left_join returns missing values for all unaffected sectors
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
rename(L172.in_EJ_R_irr_F_Yh, value = energy_EJ)) %>%
left_join(L1012.in_EJ_R_revirr_F_Yh, by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(value = if_else(is.na(energy_EJ_revised), value, energy_EJ_revised)) %>%
select(-energy_EJ_revised)
# Part 3: Industrial manufacturing energy-for-water
# The method here is generally the same as irrigation, with the exception that (depending on the EFW_mapping) there
# may only be one sector to re-assign energy from. The method below is designed to allow either one or two sectors
# to be available for the EFW deduction.
EFW_mapping_agg <- distinct(select(EFW_mapping, agg_sector, fuel, from.sector, from.sector.2))
# 3.1. Deducting industrial water-related energy from assigned industrial sector(s)
L1012.deduction_EJ_R_mfg_F_Yh <- rename(L173.in_EJ_R_indEFWtot_F_Yh, deduction_EJ = energy_EJ) %>%
left_join_error_no_match(EFW_mapping_agg,
by = c(sector = "agg_sector", "fuel"),
ignore_columns = "from.sector.2") %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector = "sector", "fuel", "year")) %>%
mutate(energy_EJrev = if_else(value * efw.MAX_IND_ENERGY_EFW >= deduction_EJ,
value - deduction_EJ,
value * (1 - efw.MAX_IND_ENERGY_EFW)))
L1012.in_EJ_R_revmfg_F_Yh <- select(L1012.deduction_EJ_R_mfg_F_Yh, GCAM_region_ID, fuel, year, from.sector, energy_EJrev) %>%
rename(sector = from.sector, energy_EJ_revised = energy_EJrev)
# this next sequence is only performed as necessary: if there are multiple sectors to deduct from, and if there
# are regions whose industrial EFW is greater than the allowable fraction of the first deduction sector's energy
if(!is.na(unique(L1012.deduction_EJ_R_mfg_F_Yh$from.sector.2)) &
min(L1012.deduction_EJ_R_mfg_F_Yh$energy_EJrev / L1012.deduction_EJ_R_mfg_F_Yh$value) <
(1 - efw.MAX_IND_ENERGY_EFW)){
# Compute the new energy consumption level of the second sector. Equal to the original value unless the
# first sector's energy times the max-efw-frac is not enough to cover the bottom-up efw estimate. In that case, it's
# equal to its original value minus the difference
L1012.in_EJ_R_revmfg2_F_Yh <- left_join_error_no_match(L1012.deduction_EJ_R_mfg_F_Yh,
L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector.2 = "sector", "fuel", "year"),
suffix = c(".1", ".2")) %>%
mutate(energy_EJ.2rev = if_else(value.1 * efw.MAX_IND_ENERGY_EFW > deduction_EJ,
value.2,
value.2 + (value.1 * efw.MAX_IND_ENERGY_EFW) - deduction_EJ)) %>%
select(GCAM_region_ID, fuel, year, from.sector.2, energy_EJ.2rev) %>%
rename(sector = from.sector.2, energy_EJ_revised = energy_EJ.2rev)
if(any(L1012.in_EJ_R_revmfg2_F_Yh$energy_EJ_revised < 0)){
stop(paste0("Negative industrial energy demand from EFW incorporation in region ",
unique(L1012.in_EJ_R_revmfg2_F_Yh$GCAM_region_ID[L1012.in_EJ_R_revmfg2_F_Yh$energy_EJ_revised < 0]),
". Please adjust the constant efw.MAX_IND_ENERGY_EFW or the deduction sectors in EFW_mapping. "))
}
# Bind this to the revisions from the first sector
L1012.in_EJ_R_revmfg_F_Yh <- bind_rows(L1012.in_EJ_R_revmfg_F_Yh, L1012.in_EJ_R_revmfg2_F_Yh)
}
# Append industrial EFW, and join revisions to industrial energy back into the energy balances table
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
rename(L173.in_EJ_R_indEFWtot_F_Yh, value = energy_EJ)) %>%
left_join(L1012.in_EJ_R_revmfg_F_Yh,
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(value = if_else(is.na(energy_EJ_revised), value, energy_EJ_revised)) %>%
select(-energy_EJ_revised)
# Part 4: Municipal water systems energy-for-water
# Municipal water is somewhat different from the prior EFW sectors in that there is a clearly defined corresponding
# sector in the IEA Energy Balances: "Commercial and public services", or "COMMPUB". However, in practice the
# electricity consumption by COMMPUB is often zero or too low to be the only place where such electricity demands
# may be deducted. As such, the method prioritizes this sector, but also requires a second one to be provided.
L1012.deduction_EJ_R_muni_F_Yh <- rename(L174.in_EJ_R_muniEFWtot_F_Yh, deduction_EJ = energy_EJ) %>%
left_join_error_no_match(EFW_mapping_agg, by = c("sector" = "agg_sector", "fuel")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh, by = c("GCAM_region_ID", from.sector = "sector", "fuel", "year")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh, by = c("GCAM_region_ID", from.sector.2 = "sector", "fuel", "year"),
suffix = c(".1", ".2")) %>%
mutate(energy_EJ.1rev = if_else(value.1 * efw.MAX_COMM_ENERGY_MUNI_EFW >= deduction_EJ,
value.1 - deduction_EJ,
value.1 * (1 - efw.MAX_COMM_ENERGY_MUNI_EFW))) %>%
mutate(energy_EJ.2rev = if_else(value.1 * efw.MAX_COMM_ENERGY_MUNI_EFW >= deduction_EJ,
value.2,
value.2 + (value.1 * efw.MAX_COMM_ENERGY_MUNI_EFW) - deduction_EJ))
# Re-build the energy balance tables, substituting revised data for reported data, and appending the municipal EFW
L1012.in_EJ_R_revmuni1_F_Yh <- select(L1012.deduction_EJ_R_muni_F_Yh, GCAM_region_ID, fuel, year, from.sector, energy_EJ.1rev) %>%
rename(sector = from.sector, energy_EJ_revised = energy_EJ.1rev)
L1012.in_EJ_R_revmuni_F_Yh <- select(L1012.deduction_EJ_R_muni_F_Yh, GCAM_region_ID, fuel, year, from.sector.2, energy_EJ.2rev) %>%
rename(sector = from.sector.2, energy_EJ_revised = energy_EJ.2rev) %>%
bind_rows(L1012.in_EJ_R_revmuni1_F_Yh)
# Append municipal total EFW, and join revisions to assigned sectors back into the energy balances table
# This block uses left_join() because not all sectors and fuels have their energy demands revised by EFW
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
rename(L174.in_EJ_R_muniEFWtot_F_Yh, value = energy_EJ)) %>%
left_join(L1012.in_EJ_R_revmuni_F_Yh, by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(value = if_else(is.na(energy_EJ_revised), value, energy_EJ_revised)) %>%
select(-energy_EJ_revised)
# ===================================================
# Produce outputs
L1012.en_bal_EJ_R_Si_Fi_Yh %>%
add_title("Energy balances by GCAM region / intermediate sector / intermediate fuel / historical year", overwrite = TRUE) %>%
add_units("EJ") %>%
add_comments("EFW processes disaggregated, other sectors (e.g. commercial, industrial) energy consumption quantities modified") %>%
add_precursors("common/iso_GCAM_regID",
"energy/calibrated_techs",
"water/EFW_mapping",
"L1011.en_bal_EJ_R_Si_Fi_Yh",
"L171.in_EJ_R_desal_F_Yh",
"L172.in_EJ_R_irr_F_Yh",
"L173.in_EJ_R_indEFWtot_F_Yh",
"L174.in_EJ_R_muniEFWtot_F_Yh") ->
L1012.en_bal_EJ_R_Si_Fi_Yh
return_data(L1012.en_bal_EJ_R_Si_Fi_Yh)
} else {
stop("Unknown command")
}
}
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Defines functions module_energy_LA1012.en_bal_EFW
Documented in module_energy_LA1012.en_bal_EFW
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_energy_LA1012.en_bal_EFW
#'
#' Adjustments to the IEA energy balances to account for energy-for-water processes explicitly modeled.
#'
#' @param command API command to execute
#' @param ... other optional parameters, depending on command
#' @return Depends on \code{command}: either a vector of required inputs,
#' a vector of output names, or (if \code{command} is "MAKE") all
#' the generated outputs: \code{L1012.en_bal_EJ_R_Si_Fi_Yh}.
#' @details This chunk deducts bottom-up energy-for-water (EFW) estimates from the IEA Energy Balances estimates of
#' energy consumption in the commercial and industrial sectors, applying a set of rules that ensure that resulting
#' energy demand levels are reasonable. The result is the full energy balance table with an additional EFW
#' @importFrom assertthat assert_that
#' @importFrom dplyr bind_rows distinct filter group_by left_join mutate rename right_join select ungroup
#' @importFrom tidyr replace_na
#' @author GPK January 2019
module_energy_LA1012.en_bal_EFW <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "common/iso_GCAM_regID",
FILE = "energy/calibrated_techs",
FILE = "water/EFW_mapping",
"L1011.en_bal_EJ_R_Si_Fi_Yh",
"L171.in_EJ_R_desal_F_Yh",
"L172.in_EJ_R_irr_F_Yh",
"L173.in_EJ_R_indEFWtot_F_Yh",
"L174.in_EJ_R_muniEFWtot_F_Yh"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L1012.en_bal_EJ_R_Si_Fi_Yh"))
} else if(command == driver.MAKE) {
# silence package check
year <- sector <- fuel <- GCAM_region_ID <- value <- share <- energy_EJ <-
deduction_EJ <- initial_energy_EJ <- from.sector <- from.sector.2 <-
value.1 <- value.2 <- energy_EJ.1rev <- energy_EJ.2rev <- energy_EJ_revised <-
agg_sector <- energy_EJrev <- NULL
all_data <- list(...)[[1]]
# Load required inputs
iso_GCAM_regID <- get_data(all_data, "common/iso_GCAM_regID", strip_attributes = TRUE)
calibrated_techs <- get_data(all_data, "energy/calibrated_techs", strip_attributes = TRUE)
EFW_mapping <- get_data(all_data, "water/EFW_mapping", strip_attributes = TRUE)
L1011.en_bal_EJ_R_Si_Fi_Yh <- get_data(all_data, "L1011.en_bal_EJ_R_Si_Fi_Yh", strip_attributes = TRUE)
L171.in_EJ_R_desal_F_Yh <- get_data(all_data, "L171.in_EJ_R_desal_F_Yh", strip_attributes = TRUE)
L172.in_EJ_R_irr_F_Yh <- get_data(all_data, "L172.in_EJ_R_irr_F_Yh", strip_attributes = TRUE)
L173.in_EJ_R_indEFWtot_F_Yh <- get_data(all_data, "L173.in_EJ_R_indEFWtot_F_Yh", strip_attributes = TRUE)
L174.in_EJ_R_muniEFWtot_F_Yh <- get_data(all_data, "L174.in_EJ_R_muniEFWtot_F_Yh", strip_attributes = TRUE)
# ===================================================
# This chunk adjusts each region's energy balances according to bottom-up estimates of energy-for-water
# Energy consumption is deducted from existing sectors
# Part 1: Desalination
# Notes: The attribution of desal-related energy to sectors ("flows") in the IEA Energy Balances is not known. While
# its ISIC code (494) is water supply, most of whose energy likely maps to IEA's "Commercial and public services"
# (COMMPUB), energy used for desalination at manufacturing plants, power plants, or mines will be classified with
# those. The important part for incorporation into GCAM's energy system is to minimize distortions to energy
# balances.
# 1.1 Compute the share of each desal-related (i.e., commercial and industrial) sector's energy by region, fuel, and year
L1012.desal_shares <- filter(L1011.en_bal_EJ_R_Si_Fi_Yh, sector %in% efw.DESAL_ENERGY_SECTORS) %>%
filter(fuel %in% L171.in_EJ_R_desal_F_Yh$fuel) %>%
group_by(GCAM_region_ID, fuel, year) %>%
mutate(share = value / sum(value)) %>%
replace_na(list(share = 0)) %>%
select(GCAM_region_ID, sector, fuel, year, share)
# 1.2 Deduct desalination-related energy from assigned sectors and re-balance the energy flows
# Repeat the table of energy inputs to desal by the sectors being assigned, and join in the shares from the table
# above to compute the amount of energy to deduct from each country/sector/fuel/year.
L1012.deduction_EJ_R_desal_F_Yh <- repeat_add_columns(select(L171.in_EJ_R_desal_F_Yh, -sector),
tibble(sector = efw.DESAL_ENERGY_SECTORS )) %>%
left_join_error_no_match(L1012.desal_shares,
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(deduction_EJ = energy_EJ * share) %>%
select(GCAM_region_ID, sector, fuel, year, deduction_EJ)
L1012.en_bal_EJ_R_Si_Fi_Yh_desal <- right_join(L1011.en_bal_EJ_R_Si_Fi_Yh,
L1012.deduction_EJ_R_desal_F_Yh,
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
rename(initial_energy_EJ = value)
# Stop if the desal-related deduction exceeds an exogenous fraction of available energy
stopifnot(with(subset(L1012.en_bal_EJ_R_Si_Fi_Yh_desal, initial_energy_EJ > 0),
deduction_EJ / initial_energy_EJ) < efw.MAX_COMMIND_ENERGY_DESAL)
# Replace the corresponding values in the energy balance tables
# left_join returns missing values for all unaffected sectors
L1012.en_bal_EJ_R_Si_Fi_Yh <- L1011.en_bal_EJ_R_Si_Fi_Yh %>%
left_join(select(L1012.en_bal_EJ_R_Si_Fi_Yh_desal, GCAM_region_ID, sector, fuel, year, deduction_EJ),
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
replace_na(list(deduction_EJ = 0)) %>%
mutate(value = value - deduction_EJ) %>%
select(-deduction_EJ)
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
select(rename(L171.in_EJ_R_desal_F_Yh, value = energy_EJ),
GCAM_region_ID, sector, fuel, year, value))
# Part 2: Irrigation
# Irrigation-related energy consumption also does not correspond to a single sector in the IEA Energy Balances. The
# data include an "agriculture" line item, but most nations either have zero or very little electricity
# estimated/reported. The ISIC code of irrigation (497) has no clear assignment. The method used here allows for two
# sectors to be assigned, set in EFW_mapping. At this point the energy quantities have already been checked against
# available energy and the EFW coefs have been modified as necessary. The method below first joins in the sectors
# (and energy consumption levels) from which energy is deducted, and then performs the calculations, applying limits
# on how much energy can be deducted from each sector.
L1012.deduction_EJ_R_irr_F_Yh <- rename(L172.in_EJ_R_irr_F_Yh, deduction_EJ = energy_EJ) %>%
left_join_error_no_match(select(EFW_mapping, sector, fuel, from.sector, from.sector.2),
by = c("sector", "fuel")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector = "sector", "fuel", "year")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector.2 = "sector", "fuel", "year"),
suffix = c(".1", ".2")) %>%
mutate(energy_EJ.1rev = if_else(value.1 * efw.MAX_AG_ENERGY_IRR >= deduction_EJ,
value.1 - deduction_EJ,
value.1 * (1 - efw.MAX_AG_ENERGY_IRR))) %>%
mutate(energy_EJ.2rev = if_else(value.1 * efw.MAX_AG_ENERGY_IRR >= deduction_EJ,
value.2,
value.2 + (value.1 * efw.MAX_AG_ENERGY_IRR) - deduction_EJ))
# Re-build the energy balance tables, substituting revised data for reported data, and appending the irrigation EFW
L1012.in_EJ_R_revirr1_F_Yh <- select(L1012.deduction_EJ_R_irr_F_Yh,
GCAM_region_ID, fuel, year, from.sector, energy_EJ.1rev) %>%
rename(sector = from.sector, energy_EJ_revised = energy_EJ.1rev)
L1012.in_EJ_R_revirr_F_Yh <- select(L1012.deduction_EJ_R_irr_F_Yh,
GCAM_region_ID, fuel, year, from.sector.2, energy_EJ.2rev) %>%
rename(sector = from.sector.2, energy_EJ_revised = energy_EJ.2rev) %>%
bind_rows(L1012.in_EJ_R_revirr1_F_Yh)
# Append irrigation EFW, and join revisions to ag and commercial energy back into the energy balances table
# left_join returns missing values for all unaffected sectors
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
rename(L172.in_EJ_R_irr_F_Yh, value = energy_EJ)) %>%
left_join(L1012.in_EJ_R_revirr_F_Yh, by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(value = if_else(is.na(energy_EJ_revised), value, energy_EJ_revised)) %>%
select(-energy_EJ_revised)
# Part 3: Industrial manufacturing energy-for-water
# The method here is generally the same as irrigation, with the exception that (depending on the EFW_mapping) there
# may only be one sector to re-assign energy from. The method below is designed to allow either one or two sectors
# to be available for the EFW deduction.
EFW_mapping_agg <- distinct(select(EFW_mapping, agg_sector, fuel, from.sector, from.sector.2))
# 3.1. Deducting industrial water-related energy from assigned industrial sector(s)
L1012.deduction_EJ_R_mfg_F_Yh <- rename(L173.in_EJ_R_indEFWtot_F_Yh, deduction_EJ = energy_EJ) %>%
left_join_error_no_match(EFW_mapping_agg,
by = c(sector = "agg_sector", "fuel"),
ignore_columns = "from.sector.2") %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector = "sector", "fuel", "year")) %>%
mutate(energy_EJrev = if_else(value * efw.MAX_IND_ENERGY_EFW >= deduction_EJ,
value - deduction_EJ,
value * (1 - efw.MAX_IND_ENERGY_EFW)))
L1012.in_EJ_R_revmfg_F_Yh <- select(L1012.deduction_EJ_R_mfg_F_Yh, GCAM_region_ID, fuel, year, from.sector, energy_EJrev) %>%
rename(sector = from.sector, energy_EJ_revised = energy_EJrev)
# this next sequence is only performed as necessary: if there are multiple sectors to deduct from, and if there
# are regions whose industrial EFW is greater than the allowable fraction of the first deduction sector's energy
if(!is.na(unique(L1012.deduction_EJ_R_mfg_F_Yh$from.sector.2)) &
min(L1012.deduction_EJ_R_mfg_F_Yh$energy_EJrev / L1012.deduction_EJ_R_mfg_F_Yh$value) <
(1 - efw.MAX_IND_ENERGY_EFW)){
# Compute the new energy consumption level of the second sector. Equal to the original value unless the
# first sector's energy times the max-efw-frac is not enough to cover the bottom-up efw estimate. In that case, it's
# equal to its original value minus the difference
L1012.in_EJ_R_revmfg2_F_Yh <- left_join_error_no_match(L1012.deduction_EJ_R_mfg_F_Yh,
L1012.en_bal_EJ_R_Si_Fi_Yh,
by = c("GCAM_region_ID", from.sector.2 = "sector", "fuel", "year"),
suffix = c(".1", ".2")) %>%
mutate(energy_EJ.2rev = if_else(value.1 * efw.MAX_IND_ENERGY_EFW > deduction_EJ,
value.2,
value.2 + (value.1 * efw.MAX_IND_ENERGY_EFW) - deduction_EJ)) %>%
select(GCAM_region_ID, fuel, year, from.sector.2, energy_EJ.2rev) %>%
rename(sector = from.sector.2, energy_EJ_revised = energy_EJ.2rev)
if(any(L1012.in_EJ_R_revmfg2_F_Yh$energy_EJ_revised < 0)){
stop(paste0("Negative industrial energy demand from EFW incorporation in region ",
unique(L1012.in_EJ_R_revmfg2_F_Yh$GCAM_region_ID[L1012.in_EJ_R_revmfg2_F_Yh$energy_EJ_revised < 0]),
". Please adjust the constant efw.MAX_IND_ENERGY_EFW or the deduction sectors in EFW_mapping. "))
}
# Bind this to the revisions from the first sector
L1012.in_EJ_R_revmfg_F_Yh <- bind_rows(L1012.in_EJ_R_revmfg_F_Yh, L1012.in_EJ_R_revmfg2_F_Yh)
}
# Append industrial EFW, and join revisions to industrial energy back into the energy balances table
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
rename(L173.in_EJ_R_indEFWtot_F_Yh, value = energy_EJ)) %>%
left_join(L1012.in_EJ_R_revmfg_F_Yh,
by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(value = if_else(is.na(energy_EJ_revised), value, energy_EJ_revised)) %>%
select(-energy_EJ_revised)
# Part 4: Municipal water systems energy-for-water
# Municipal water is somewhat different from the prior EFW sectors in that there is a clearly defined corresponding
# sector in the IEA Energy Balances: "Commercial and public services", or "COMMPUB". However, in practice the
# electricity consumption by COMMPUB is often zero or too low to be the only place where such electricity demands
# may be deducted. As such, the method prioritizes this sector, but also requires a second one to be provided.
L1012.deduction_EJ_R_muni_F_Yh <- rename(L174.in_EJ_R_muniEFWtot_F_Yh, deduction_EJ = energy_EJ) %>%
left_join_error_no_match(EFW_mapping_agg, by = c("sector" = "agg_sector", "fuel")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh, by = c("GCAM_region_ID", from.sector = "sector", "fuel", "year")) %>%
left_join_error_no_match(L1012.en_bal_EJ_R_Si_Fi_Yh, by = c("GCAM_region_ID", from.sector.2 = "sector", "fuel", "year"),
suffix = c(".1", ".2")) %>%
mutate(energy_EJ.1rev = if_else(value.1 * efw.MAX_COMM_ENERGY_MUNI_EFW >= deduction_EJ,
value.1 - deduction_EJ,
value.1 * (1 - efw.MAX_COMM_ENERGY_MUNI_EFW))) %>%
mutate(energy_EJ.2rev = if_else(value.1 * efw.MAX_COMM_ENERGY_MUNI_EFW >= deduction_EJ,
value.2,
value.2 + (value.1 * efw.MAX_COMM_ENERGY_MUNI_EFW) - deduction_EJ))
# Re-build the energy balance tables, substituting revised data for reported data, and appending the municipal EFW
L1012.in_EJ_R_revmuni1_F_Yh <- select(L1012.deduction_EJ_R_muni_F_Yh, GCAM_region_ID, fuel, year, from.sector, energy_EJ.1rev) %>%
rename(sector = from.sector, energy_EJ_revised = energy_EJ.1rev)
L1012.in_EJ_R_revmuni_F_Yh <- select(L1012.deduction_EJ_R_muni_F_Yh, GCAM_region_ID, fuel, year, from.sector.2, energy_EJ.2rev) %>%
rename(sector = from.sector.2, energy_EJ_revised = energy_EJ.2rev) %>%
bind_rows(L1012.in_EJ_R_revmuni1_F_Yh)
# Append municipal total EFW, and join revisions to assigned sectors back into the energy balances table
# This block uses left_join() because not all sectors and fuels have their energy demands revised by EFW
L1012.en_bal_EJ_R_Si_Fi_Yh <- bind_rows(L1012.en_bal_EJ_R_Si_Fi_Yh,
rename(L174.in_EJ_R_muniEFWtot_F_Yh, value = energy_EJ)) %>%
left_join(L1012.in_EJ_R_revmuni_F_Yh, by = c("GCAM_region_ID", "sector", "fuel", "year")) %>%
mutate(value = if_else(is.na(energy_EJ_revised), value, energy_EJ_revised)) %>%
select(-energy_EJ_revised)
# ===================================================
# Produce outputs
L1012.en_bal_EJ_R_Si_Fi_Yh %>%
add_title("Energy balances by GCAM region / intermediate sector / intermediate fuel / historical year", overwrite = TRUE) %>%
add_units("EJ") %>%
add_comments("EFW processes disaggregated, other sectors (e.g. commercial, industrial) energy consumption quantities modified") %>%
add_precursors("common/iso_GCAM_regID",
"energy/calibrated_techs",
"water/EFW_mapping",
"L1011.en_bal_EJ_R_Si_Fi_Yh",
"L171.in_EJ_R_desal_F_Yh",
"L172.in_EJ_R_irr_F_Yh",
"L173.in_EJ_R_indEFWtot_F_Yh",
"L174.in_EJ_R_muniEFWtot_F_Yh") ->
L1012.en_bal_EJ_R_Si_Fi_Yh
return_data(L1012.en_bal_EJ_R_Si_Fi_Yh)
} else {
stop("Unknown command")
}
}
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