R/zchunk_L239.ff_trade.R
In JGCRI/gcamdata: Build the GCAM Input Datasets
Defines functions
module_energy_L239.ff_trade
Documented in
module_energy_L239.ff_trade
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_energy_L239.ff_trade
#'
#' Model input for regionally and globally traded fossil fuel commodities
#'
#' @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{L239.PrimaryConsKeyword_en}, \code{L239.Supplysector_tra},
#' \code{L239.SectorUseTrialMarket_tra}, \code{L239.SubsectorAll_tra}, \code{L239.TechShrwt_tra},
#' \code{L239.TechCost_tra}, \code{L239.TechCoef_tra}, \code{L239.Production_tra}, \code{L239.Supplysector_reg},
#' \code{L239.SubsectorAll_reg}, \code{L239.TechShrwt_reg}, \code{L239.TechCoef_reg}, \code{L239.Production_reg_imp},
#' \code{L239.Production_reg_dom}, \code{L239.Consumption_intraregional}, \code{L239.CarbonCoef}.
#' @importFrom assertthat assert_that
#' @importFrom dplyr filter if_else left_join mutate rename select
#' @importFrom tibble tibble
#' @author GPK February 2019
module_energy_L239.ff_trade <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "common/GCAM_region_names",
FILE = "energy/A_ff_RegionalSector",
FILE = "energy/A_ff_RegionalSubsector",
FILE = "energy/A_ff_RegionalTechnology",
FILE = "energy/A_ff_TradedSector",
FILE = "energy/A_ff_TradedSubsector",
FILE = "energy/A_ff_TradedTechnology",
"L202.CarbonCoef",
"L2011.ff_GrossTrade_EJ_R_C_Y",
"L2011.ff_ALL_EJ_R_C_Y"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L239.PrimaryConsKeyword_en",
"L239.Supplysector_tra",
"L239.SectorUseTrialMarket_tra",
"L239.SubsectorAll_tra",
"L239.TechShrwt_tra",
"L239.TechCost_tra",
"L239.TechCoef_tra",
"L239.Production_tra",
"L239.Supplysector_reg",
"L239.SubsectorAll_reg",
"L239.TechShrwt_reg",
"L239.TechCoef_reg",
"L239.Production_reg_imp",
"L239.Production_reg_dom",
"L239.Consumption_intraregional",
"L239.CarbonCoef"))
} else if(command == driver.MAKE) {
all_data <- list(...)[[1]]
year <- region <- supplysector <- subsector <- GCAM_Commodity <- GrossExp_EJ <-
calOutputValue <- subs.share.weight <- market.name <- minicam.energy.input <-
GrossImp_EJ <- Prod_EJ <- fuel <- technology <- primary.consumption <- PrimaryFuelCO2Coef.name <- PrimaryFuelCO2Coef <-
production <- consumption <- GCAM_region_ID <- NULL # silence package check notes
# Load required inputs
GCAM_region_names <- get_data(all_data, "common/GCAM_region_names",strip_attributes = TRUE)
A_ff_RegionalSector <- get_data(all_data, "energy/A_ff_RegionalSector",strip_attributes = TRUE)
A_ff_RegionalSubsector <- get_data(all_data, "energy/A_ff_RegionalSubsector",strip_attributes = TRUE)
A_ff_RegionalTechnology <- get_data(all_data, "energy/A_ff_RegionalTechnology",strip_attributes = TRUE)
A_ff_TradedSector <- get_data(all_data, "energy/A_ff_TradedSector",strip_attributes = TRUE)
A_ff_TradedSubsector <- get_data(all_data, "energy/A_ff_TradedSubsector",strip_attributes = TRUE)
A_ff_TradedTechnology <- get_data(all_data, "energy/A_ff_TradedTechnology",strip_attributes = TRUE)
L2011.ff_GrossTrade_EJ_R_C_Y <- get_data(all_data, "L2011.ff_GrossTrade_EJ_R_C_Y",strip_attributes = TRUE)
L2011.ff_ALL_EJ_R_C_Y <- get_data(all_data, "L2011.ff_ALL_EJ_R_C_Y",strip_attributes = TRUE)
L202.CarbonCoef <- get_data(all_data, "L202.CarbonCoef",strip_attributes = TRUE)
# Keywords of global technologies
A_ff_RegionalTechnology %>%
filter(!is.na(primary.consumption)) %>%
repeat_add_columns(tibble(year = c(HISTORICAL_YEARS, MODEL_FUTURE_YEARS))) %>%
select(supplysector, subsector, technology, primary.consumption, year) %>%
filter(year %in% MODEL_YEARS) %>%
repeat_add_columns(GCAM_region_names) %>%
select(-GCAM_region_ID)-> L239.PrimaryConsKeyword_en
# Fuel carbon coefficients for new sectors
# Traded sectors first. These are only set up in the USA.
L202.CarbonCoef %>%
filter(region == gcam.USA_REGION) %>%
semi_join(A_ff_TradedTechnology, by = c("PrimaryFuelCO2Coef.name" = "minicam.energy.input")) %>%
left_join_error_no_match(A_ff_TradedTechnology, by = c("PrimaryFuelCO2Coef.name" = "minicam.energy.input")) %>%
select(region, PrimaryFuelCO2Coef.name = supplysector, PrimaryFuelCO2Coef, -PrimaryFuelCO2Coef.name) -> L239.CarbonCoef_traded
# Next regional sectors (all regions)
L239.CarbonCoef_traded %>%
left_join_error_no_match(A_ff_RegionalTechnology, by = c("PrimaryFuelCO2Coef.name" = "minicam.energy.input")) %>%
select(-PrimaryFuelCO2Coef.name) %>%
select(PrimaryFuelCO2Coef.name = supplysector, PrimaryFuelCO2Coef) %>%
write_to_all_regions(LEVEL2_DATA_NAMES[["CarbonCoef"]], GCAM_region_names = GCAM_region_names) -> L239.CarbonCoef_regional
# Combine & clean up
L239.CarbonCoef_traded %>%
bind_rows(L239.CarbonCoef_regional) %>%
# Avoid duplicating info for sectors that already exist (e.g. traded unconventional oil)
# use anti_join to remove entries already in L202.CarbonCoef
anti_join(L202.CarbonCoef, by = c("region", "PrimaryFuelCO2Coef.name", "PrimaryFuelCO2Coef")) -> L239.CarbonCoef
# 1. TRADED SECTOR / SUBSECTOR / TECHNOLOGY")
# L239.Supplysector_tra: generic supplysector info for traded ff commodities
# By convention, traded commodity information is contained within the USA region (could be within any)
A_ff_TradedSector$region <- gcam.USA_REGION
# L239.Supplysector_tra: generic supplysector info for traded ff commodities
L239.Supplysector_tra <- mutate(A_ff_TradedSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
select(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"))
# L239.SectorUseTrialMarket_tra: Create solved markets for the traded sectors
L239.SectorUseTrialMarket_tra <- select(A_ff_TradedSector, region, supplysector) %>%
mutate(use.trial.market = 1)
# L239.SubsectorAll_tra: generic subsector info for traded ff commodities
# Traded commodities have the region set to USA and the subsector gets the region name pre-pended
L239.SubsectorAll_tra <- write_to_all_regions(A_ff_TradedSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAllTo"]], "logit.type"),
GCAM_region_names,
has_traded = TRUE)
# Base technology-level table for several tables to be written out")
A_ff_TradedTechnology_R_Y <- repeat_add_columns(A_ff_TradedTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(GCAM_region_names) %>%
mutate(subsector = paste(region, subsector, sep = " "),
technology = subsector,
market.name = region,
region = gcam.USA_REGION)
# L239.TechShrwt_tra: Share-weights of traded technologies
L239.TechShrwt_tra <- select(A_ff_TradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L239.TechCost_tra: Costs of traded technologies
L239.TechCost_tra <- A_ff_TradedTechnology_R_Y %>%
mutate(minicam.non.energy.input = "trade costs") %>%
select(LEVEL2_DATA_NAMES[["TechCost"]])
# L239.TechCoef_tra: Coefficient and market name of traded technologies
L239.TechCoef_tra <- select(A_ff_TradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L239.Production_tra: Output (gross exports) of traded technologies
L239.GrossExports_EJ_R_C_Y <- left_join_error_no_match(L2011.ff_GrossTrade_EJ_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_Commodity, year, GrossExp_EJ)
L239.Production_tra <- filter(A_ff_TradedTechnology_R_Y, year %in% MODEL_BASE_YEARS) %>%
left_join_error_no_match(L239.GrossExports_EJ_R_C_Y,
by = c(market.name = "region", minicam.energy.input = "GCAM_Commodity", "year")) %>%
rename(calOutputValue = GrossExp_EJ) %>%
mutate(calOutputValue = round(calOutputValue, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# PART 2: DOMESTIC SUPPLY SECTOR / SUBSECTOR / TECHNOLOGY")
# L239.Supplysector_reg: generic supplysector info for regional ff commodities
L239.Supplysector_reg <- mutate(A_ff_RegionalSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
write_to_all_regions(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"),
GCAM_region_names)
# L239.SubsectorAll_reg: generic subsector info for regional ff commodities (competing domestic prod vs intl imports)
L239.SubsectorAll_reg <- write_to_all_regions(A_ff_RegionalSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAllTo"]], "logit.type"),
GCAM_region_names)
# Base technology-level table for several tables to be written out")
A_ff_RegionalTechnology_R_Y <- repeat_add_columns(A_ff_RegionalTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(GCAM_region_names["region"]) %>%
mutate(market.name = if_else(market.name == "regional", region, market.name))
# L239.TechShrwt_tra: Share-weights of traded technologies
L239.TechShrwt_reg <- select(A_ff_RegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L239.TechCoef_reg: Coefficient and market name of traded technologies
L239.TechCoef_reg <- select(A_ff_RegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L239.Production_reg_imp: Output (flow) of gross imports
L239.GrossImports_EJ_R_C_Y <- left_join_error_no_match(L2011.ff_GrossTrade_EJ_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
left_join(select(A_ff_TradedTechnology, supplysector, minicam.energy.input),
by = c(GCAM_Commodity = "minicam.energy.input")) %>%
select(region, supplysector, year, GrossImp_EJ)
L239.Production_reg_imp <- A_ff_RegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "import", subsector)) %>%
left_join_error_no_match(L239.GrossImports_EJ_R_C_Y,
by = c("region", minicam.energy.input = "supplysector", "year")) %>%
rename(calOutputValue = GrossImp_EJ) %>%
mutate(calOutputValue = round(calOutputValue, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# L239.Production_reg_dom: Output (flow) of domestic
# Domestic "output" is equal to production (production in L2011.ff_ALL_EJ_R_C_Y) minus gross exports (calculated in L2011.ff_GrossTrade_EJ_R_C_Y)
### DOMESTIC TECHNOLOGY OUTPUT = AG PRODUCTION - GROSS EXPORTS
L239.GrossExports_EJ_R_C_Y <- left_join_error_no_match(L2011.ff_GrossTrade_EJ_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_Commodity, year, GrossExp_EJ)
L239.Prod_EJ_R_C_Y <- select(L2011.ff_ALL_EJ_R_C_Y, region, GCAM_Commodity = fuel, year, Prod_EJ = production)
L239.Production_reg_dom <- A_ff_RegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "domestic", subsector)) %>%
left_join_error_no_match(L239.GrossExports_EJ_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_Commodity", "year")) %>%
left_join_error_no_match(L239.Prod_EJ_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_Commodity", "year")) %>%
mutate(calOutputValue = round(Prod_EJ - GrossExp_EJ, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# Regional oil competes regional crude oil and regional unconventional oil, but this is all done within a region
# We'll calibrate any intraregional competition here.
A_ff_RegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
!grepl( "domestic", subsector),
!grepl("imported", subsector)) %>%
left_join(L2011.ff_ALL_EJ_R_C_Y %>% mutate(fuel = gsub(" production", "", fuel), fuel = paste0("regional ",fuel)),
by = c("region", minicam.energy.input = "fuel", "year")) %>%
mutate(calOutputValue = round(consumption, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue >= 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])->
L239.Consumption_intraregional
# Produce outputs
L239.PrimaryConsKeyword_en %>%
add_title("Keywords of global technologies") %>%
add_units("unitless") %>%
add_comments("Primary consumption from A_ff_RegionalTechnology written to all model periods") %>%
add_legacy_name("L239.PrimaryConsKeyword_en") %>%
add_precursors("energy/A_ff_RegionalTechnology") ->
L239.PrimaryConsKeyword_en
L239.Supplysector_tra %>%
add_title("Supplysector info for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedSector") ->
L239.Supplysector_tra
L239.SectorUseTrialMarket_tra %>%
add_title("Supplysector flag indicating to make trial markets") %>%
add_units("None") %>%
add_comments("This helps model solution when running with ff trade") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedSector") ->
L239.SectorUseTrialMarket_tra
L239.SubsectorAll_tra %>%
add_title("Subsector info for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedSubsector") ->
L239.SubsectorAll_tra
L239.TechShrwt_tra %>%
add_title("Technology share-weights for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology") ->
L239.TechShrwt_tra
L239.TechCost_tra %>%
add_title("Technology costs for traded ff commodities") %>%
add_units("1975$/GJ") %>%
add_comments("Exogenous cost to reflect shipping + handling of traded commodities") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology") ->
L239.TechCost_tra
L239.TechCoef_tra %>%
add_title("Technology input-output coefficients for traded ff commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology") ->
L239.TechCoef_tra
L239.Production_tra %>%
add_title("Technology calibration for traded ff commodities") %>%
add_units("EJ") %>%
add_comments("Regional exports of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology",
"L2011.ff_GrossTrade_EJ_R_C_Y") ->
L239.Production_tra
L239.Supplysector_reg %>%
add_title("Supplysector info for regional ff commodities") %>%
add_units("None") %>%
add_comments("These sectors are used for sharing between consumption of domestically produced crops versus imports") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalSector") ->
L239.Supplysector_reg
L239.SubsectorAll_reg %>%
add_title("Subsector info for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalSubsector") ->
L239.SubsectorAll_reg
L239.TechShrwt_reg %>%
add_title("Technology share-weights for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology") ->
L239.TechShrwt_reg
L239.TechCoef_reg %>%
add_title("Technology input-output coefficients for regional ff commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology") ->
L239.TechCoef_reg
L239.Production_reg_imp %>%
add_title("Technology calibration for regional ff commodities: imports") %>%
add_units("EJ") %>%
add_comments("Consumption of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology",
"L2011.ff_GrossTrade_EJ_R_C_Y") ->
L239.Production_reg_imp
L239.Production_reg_dom %>%
add_title("Technology calibration for regional ff commodities: consumption of domestic production") %>%
add_units("EJ") %>%
add_comments("Consumption of commodities produced within-region") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology",
"L2011.ff_ALL_EJ_R_C_Y",
"L2011.ff_GrossTrade_EJ_R_C_Y") ->
L239.Production_reg_dom
L239.Consumption_intraregional %>%
add_title("Technology calibration for intraregional ff commodities: competition between goods within a single market") %>%
add_units("EJ") %>%
add_comments("Consumption of commodities competed within-region") %>%
add_precursors("energy/A_ff_RegionalTechnology",
"L2011.ff_ALL_EJ_R_C_Y") ->
L239.Consumption_intraregional
L239.CarbonCoef %>%
add_title("Primary Energy CO2 Coefficient for Fossil Trade Sectors") %>%
add_units("kgC/GJ") %>%
add_comments("All coefficients mapped from relevant fuels in L202.CarbonCoef") %>%
add_precursors("energy/A_ff_TradedTechnology",
"energy/A_ff_RegionalTechnology",
"L202.CarbonCoef") ->
L239.CarbonCoef
return_data(L239.PrimaryConsKeyword_en,
L239.Supplysector_tra,
L239.SectorUseTrialMarket_tra,
L239.SubsectorAll_tra,
L239.TechShrwt_tra,
L239.TechCost_tra,
L239.TechCoef_tra,
L239.Production_tra,
L239.Supplysector_reg,
L239.SubsectorAll_reg,
L239.TechShrwt_reg,
L239.TechCoef_reg,
L239.Production_reg_imp,
L239.Production_reg_dom,
L239.Consumption_intraregional,
L239.CarbonCoef)
} else {
stop("Unknown command")
}
}
JGCRI/gcamdata documentation built on March 21, 2023, 2:19 a.m.
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Defines functions module_energy_L239.ff_trade
Documented in module_energy_L239.ff_trade
# Copyright 2019 Battelle Memorial Institute; see the LICENSE file.
#' module_energy_L239.ff_trade
#'
#' Model input for regionally and globally traded fossil fuel commodities
#'
#' @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{L239.PrimaryConsKeyword_en}, \code{L239.Supplysector_tra},
#' \code{L239.SectorUseTrialMarket_tra}, \code{L239.SubsectorAll_tra}, \code{L239.TechShrwt_tra},
#' \code{L239.TechCost_tra}, \code{L239.TechCoef_tra}, \code{L239.Production_tra}, \code{L239.Supplysector_reg},
#' \code{L239.SubsectorAll_reg}, \code{L239.TechShrwt_reg}, \code{L239.TechCoef_reg}, \code{L239.Production_reg_imp},
#' \code{L239.Production_reg_dom}, \code{L239.Consumption_intraregional}, \code{L239.CarbonCoef}.
#' @importFrom assertthat assert_that
#' @importFrom dplyr filter if_else left_join mutate rename select
#' @importFrom tibble tibble
#' @author GPK February 2019
module_energy_L239.ff_trade <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "common/GCAM_region_names",
FILE = "energy/A_ff_RegionalSector",
FILE = "energy/A_ff_RegionalSubsector",
FILE = "energy/A_ff_RegionalTechnology",
FILE = "energy/A_ff_TradedSector",
FILE = "energy/A_ff_TradedSubsector",
FILE = "energy/A_ff_TradedTechnology",
"L202.CarbonCoef",
"L2011.ff_GrossTrade_EJ_R_C_Y",
"L2011.ff_ALL_EJ_R_C_Y"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L239.PrimaryConsKeyword_en",
"L239.Supplysector_tra",
"L239.SectorUseTrialMarket_tra",
"L239.SubsectorAll_tra",
"L239.TechShrwt_tra",
"L239.TechCost_tra",
"L239.TechCoef_tra",
"L239.Production_tra",
"L239.Supplysector_reg",
"L239.SubsectorAll_reg",
"L239.TechShrwt_reg",
"L239.TechCoef_reg",
"L239.Production_reg_imp",
"L239.Production_reg_dom",
"L239.Consumption_intraregional",
"L239.CarbonCoef"))
} else if(command == driver.MAKE) {
all_data <- list(...)[[1]]
year <- region <- supplysector <- subsector <- GCAM_Commodity <- GrossExp_EJ <-
calOutputValue <- subs.share.weight <- market.name <- minicam.energy.input <-
GrossImp_EJ <- Prod_EJ <- fuel <- technology <- primary.consumption <- PrimaryFuelCO2Coef.name <- PrimaryFuelCO2Coef <-
production <- consumption <- GCAM_region_ID <- NULL # silence package check notes
# Load required inputs
GCAM_region_names <- get_data(all_data, "common/GCAM_region_names",strip_attributes = TRUE)
A_ff_RegionalSector <- get_data(all_data, "energy/A_ff_RegionalSector",strip_attributes = TRUE)
A_ff_RegionalSubsector <- get_data(all_data, "energy/A_ff_RegionalSubsector",strip_attributes = TRUE)
A_ff_RegionalTechnology <- get_data(all_data, "energy/A_ff_RegionalTechnology",strip_attributes = TRUE)
A_ff_TradedSector <- get_data(all_data, "energy/A_ff_TradedSector",strip_attributes = TRUE)
A_ff_TradedSubsector <- get_data(all_data, "energy/A_ff_TradedSubsector",strip_attributes = TRUE)
A_ff_TradedTechnology <- get_data(all_data, "energy/A_ff_TradedTechnology",strip_attributes = TRUE)
L2011.ff_GrossTrade_EJ_R_C_Y <- get_data(all_data, "L2011.ff_GrossTrade_EJ_R_C_Y",strip_attributes = TRUE)
L2011.ff_ALL_EJ_R_C_Y <- get_data(all_data, "L2011.ff_ALL_EJ_R_C_Y",strip_attributes = TRUE)
L202.CarbonCoef <- get_data(all_data, "L202.CarbonCoef",strip_attributes = TRUE)
# Keywords of global technologies
A_ff_RegionalTechnology %>%
filter(!is.na(primary.consumption)) %>%
repeat_add_columns(tibble(year = c(HISTORICAL_YEARS, MODEL_FUTURE_YEARS))) %>%
select(supplysector, subsector, technology, primary.consumption, year) %>%
filter(year %in% MODEL_YEARS) %>%
repeat_add_columns(GCAM_region_names) %>%
select(-GCAM_region_ID)-> L239.PrimaryConsKeyword_en
# Fuel carbon coefficients for new sectors
# Traded sectors first. These are only set up in the USA.
L202.CarbonCoef %>%
filter(region == gcam.USA_REGION) %>%
semi_join(A_ff_TradedTechnology, by = c("PrimaryFuelCO2Coef.name" = "minicam.energy.input")) %>%
left_join_error_no_match(A_ff_TradedTechnology, by = c("PrimaryFuelCO2Coef.name" = "minicam.energy.input")) %>%
select(region, PrimaryFuelCO2Coef.name = supplysector, PrimaryFuelCO2Coef, -PrimaryFuelCO2Coef.name) -> L239.CarbonCoef_traded
# Next regional sectors (all regions)
L239.CarbonCoef_traded %>%
left_join_error_no_match(A_ff_RegionalTechnology, by = c("PrimaryFuelCO2Coef.name" = "minicam.energy.input")) %>%
select(-PrimaryFuelCO2Coef.name) %>%
select(PrimaryFuelCO2Coef.name = supplysector, PrimaryFuelCO2Coef) %>%
write_to_all_regions(LEVEL2_DATA_NAMES[["CarbonCoef"]], GCAM_region_names = GCAM_region_names) -> L239.CarbonCoef_regional
# Combine & clean up
L239.CarbonCoef_traded %>%
bind_rows(L239.CarbonCoef_regional) %>%
# Avoid duplicating info for sectors that already exist (e.g. traded unconventional oil)
# use anti_join to remove entries already in L202.CarbonCoef
anti_join(L202.CarbonCoef, by = c("region", "PrimaryFuelCO2Coef.name", "PrimaryFuelCO2Coef")) -> L239.CarbonCoef
# 1. TRADED SECTOR / SUBSECTOR / TECHNOLOGY")
# L239.Supplysector_tra: generic supplysector info for traded ff commodities
# By convention, traded commodity information is contained within the USA region (could be within any)
A_ff_TradedSector$region <- gcam.USA_REGION
# L239.Supplysector_tra: generic supplysector info for traded ff commodities
L239.Supplysector_tra <- mutate(A_ff_TradedSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
select(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"))
# L239.SectorUseTrialMarket_tra: Create solved markets for the traded sectors
L239.SectorUseTrialMarket_tra <- select(A_ff_TradedSector, region, supplysector) %>%
mutate(use.trial.market = 1)
# L239.SubsectorAll_tra: generic subsector info for traded ff commodities
# Traded commodities have the region set to USA and the subsector gets the region name pre-pended
L239.SubsectorAll_tra <- write_to_all_regions(A_ff_TradedSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAllTo"]], "logit.type"),
GCAM_region_names,
has_traded = TRUE)
# Base technology-level table for several tables to be written out")
A_ff_TradedTechnology_R_Y <- repeat_add_columns(A_ff_TradedTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(GCAM_region_names) %>%
mutate(subsector = paste(region, subsector, sep = " "),
technology = subsector,
market.name = region,
region = gcam.USA_REGION)
# L239.TechShrwt_tra: Share-weights of traded technologies
L239.TechShrwt_tra <- select(A_ff_TradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L239.TechCost_tra: Costs of traded technologies
L239.TechCost_tra <- A_ff_TradedTechnology_R_Y %>%
mutate(minicam.non.energy.input = "trade costs") %>%
select(LEVEL2_DATA_NAMES[["TechCost"]])
# L239.TechCoef_tra: Coefficient and market name of traded technologies
L239.TechCoef_tra <- select(A_ff_TradedTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L239.Production_tra: Output (gross exports) of traded technologies
L239.GrossExports_EJ_R_C_Y <- left_join_error_no_match(L2011.ff_GrossTrade_EJ_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_Commodity, year, GrossExp_EJ)
L239.Production_tra <- filter(A_ff_TradedTechnology_R_Y, year %in% MODEL_BASE_YEARS) %>%
left_join_error_no_match(L239.GrossExports_EJ_R_C_Y,
by = c(market.name = "region", minicam.energy.input = "GCAM_Commodity", "year")) %>%
rename(calOutputValue = GrossExp_EJ) %>%
mutate(calOutputValue = round(calOutputValue, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# PART 2: DOMESTIC SUPPLY SECTOR / SUBSECTOR / TECHNOLOGY")
# L239.Supplysector_reg: generic supplysector info for regional ff commodities
L239.Supplysector_reg <- mutate(A_ff_RegionalSector, logit.year.fillout = min(MODEL_BASE_YEARS)) %>%
write_to_all_regions(c(LEVEL2_DATA_NAMES[["Supplysector"]], "logit.type"),
GCAM_region_names)
# L239.SubsectorAll_reg: generic subsector info for regional ff commodities (competing domestic prod vs intl imports)
L239.SubsectorAll_reg <- write_to_all_regions(A_ff_RegionalSubsector,
c(LEVEL2_DATA_NAMES[["SubsectorAllTo"]], "logit.type"),
GCAM_region_names)
# Base technology-level table for several tables to be written out")
A_ff_RegionalTechnology_R_Y <- repeat_add_columns(A_ff_RegionalTechnology,
tibble(year = MODEL_YEARS)) %>%
repeat_add_columns(GCAM_region_names["region"]) %>%
mutate(market.name = if_else(market.name == "regional", region, market.name))
# L239.TechShrwt_tra: Share-weights of traded technologies
L239.TechShrwt_reg <- select(A_ff_RegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechShrwt"]])
# L239.TechCoef_reg: Coefficient and market name of traded technologies
L239.TechCoef_reg <- select(A_ff_RegionalTechnology_R_Y, LEVEL2_DATA_NAMES[["TechCoef"]])
# L239.Production_reg_imp: Output (flow) of gross imports
L239.GrossImports_EJ_R_C_Y <- left_join_error_no_match(L2011.ff_GrossTrade_EJ_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
left_join(select(A_ff_TradedTechnology, supplysector, minicam.energy.input),
by = c(GCAM_Commodity = "minicam.energy.input")) %>%
select(region, supplysector, year, GrossImp_EJ)
L239.Production_reg_imp <- A_ff_RegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "import", subsector)) %>%
left_join_error_no_match(L239.GrossImports_EJ_R_C_Y,
by = c("region", minicam.energy.input = "supplysector", "year")) %>%
rename(calOutputValue = GrossImp_EJ) %>%
mutate(calOutputValue = round(calOutputValue, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# L239.Production_reg_dom: Output (flow) of domestic
# Domestic "output" is equal to production (production in L2011.ff_ALL_EJ_R_C_Y) minus gross exports (calculated in L2011.ff_GrossTrade_EJ_R_C_Y)
### DOMESTIC TECHNOLOGY OUTPUT = AG PRODUCTION - GROSS EXPORTS
L239.GrossExports_EJ_R_C_Y <- left_join_error_no_match(L2011.ff_GrossTrade_EJ_R_C_Y,
GCAM_region_names,
by = "GCAM_region_ID") %>%
select(region, GCAM_Commodity, year, GrossExp_EJ)
L239.Prod_EJ_R_C_Y <- select(L2011.ff_ALL_EJ_R_C_Y, region, GCAM_Commodity = fuel, year, Prod_EJ = production)
L239.Production_reg_dom <- A_ff_RegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
grepl( "domestic", subsector)) %>%
left_join_error_no_match(L239.GrossExports_EJ_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_Commodity", "year")) %>%
left_join_error_no_match(L239.Prod_EJ_R_C_Y,
by = c("region", minicam.energy.input = "GCAM_Commodity", "year")) %>%
mutate(calOutputValue = round(Prod_EJ - GrossExp_EJ, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue > 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])
# Regional oil competes regional crude oil and regional unconventional oil, but this is all done within a region
# We'll calibrate any intraregional competition here.
A_ff_RegionalTechnology_R_Y %>%
filter(year %in% MODEL_BASE_YEARS,
!grepl( "domestic", subsector),
!grepl("imported", subsector)) %>%
left_join(L2011.ff_ALL_EJ_R_C_Y %>% mutate(fuel = gsub(" production", "", fuel), fuel = paste0("regional ",fuel)),
by = c("region", minicam.energy.input = "fuel", "year")) %>%
mutate(calOutputValue = round(consumption, energy.DIGITS_CALOUTPUT),
share.weight.year = year,
subs.share.weight = if_else(calOutputValue >= 0, 1, 0),
tech.share.weight = subs.share.weight) %>%
select(LEVEL2_DATA_NAMES[["Production"]])->
L239.Consumption_intraregional
# Produce outputs
L239.PrimaryConsKeyword_en %>%
add_title("Keywords of global technologies") %>%
add_units("unitless") %>%
add_comments("Primary consumption from A_ff_RegionalTechnology written to all model periods") %>%
add_legacy_name("L239.PrimaryConsKeyword_en") %>%
add_precursors("energy/A_ff_RegionalTechnology") ->
L239.PrimaryConsKeyword_en
L239.Supplysector_tra %>%
add_title("Supplysector info for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedSector") ->
L239.Supplysector_tra
L239.SectorUseTrialMarket_tra %>%
add_title("Supplysector flag indicating to make trial markets") %>%
add_units("None") %>%
add_comments("This helps model solution when running with ff trade") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedSector") ->
L239.SectorUseTrialMarket_tra
L239.SubsectorAll_tra %>%
add_title("Subsector info for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedSubsector") ->
L239.SubsectorAll_tra
L239.TechShrwt_tra %>%
add_title("Technology share-weights for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology") ->
L239.TechShrwt_tra
L239.TechCost_tra %>%
add_title("Technology costs for traded ff commodities") %>%
add_units("1975$/GJ") %>%
add_comments("Exogenous cost to reflect shipping + handling of traded commodities") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology") ->
L239.TechCost_tra
L239.TechCoef_tra %>%
add_title("Technology input-output coefficients for traded ff commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology") ->
L239.TechCoef_tra
L239.Production_tra %>%
add_title("Technology calibration for traded ff commodities") %>%
add_units("EJ") %>%
add_comments("Regional exports of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_TradedTechnology",
"L2011.ff_GrossTrade_EJ_R_C_Y") ->
L239.Production_tra
L239.Supplysector_reg %>%
add_title("Supplysector info for regional ff commodities") %>%
add_units("None") %>%
add_comments("These sectors are used for sharing between consumption of domestically produced crops versus imports") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalSector") ->
L239.Supplysector_reg
L239.SubsectorAll_reg %>%
add_title("Subsector info for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalSubsector") ->
L239.SubsectorAll_reg
L239.TechShrwt_reg %>%
add_title("Technology share-weights for traded ff commodities") %>%
add_units("None") %>%
add_comments("We remove any regions for which agriculture and land use are not modeled.") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology") ->
L239.TechShrwt_reg
L239.TechCoef_reg %>%
add_title("Technology input-output coefficients for regional ff commodities") %>%
add_units("Unitless IO") %>%
add_comments("Pass-through; 1 unless some portion is assumed lost/spoiled in shipping") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology") ->
L239.TechCoef_reg
L239.Production_reg_imp %>%
add_title("Technology calibration for regional ff commodities: imports") %>%
add_units("EJ") %>%
add_comments("Consumption of commodities that are traded between GCAM regions") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology",
"L2011.ff_GrossTrade_EJ_R_C_Y") ->
L239.Production_reg_imp
L239.Production_reg_dom %>%
add_title("Technology calibration for regional ff commodities: consumption of domestic production") %>%
add_units("EJ") %>%
add_comments("Consumption of commodities produced within-region") %>%
add_precursors("common/GCAM_region_names",
"energy/A_ff_RegionalTechnology",
"L2011.ff_ALL_EJ_R_C_Y",
"L2011.ff_GrossTrade_EJ_R_C_Y") ->
L239.Production_reg_dom
L239.Consumption_intraregional %>%
add_title("Technology calibration for intraregional ff commodities: competition between goods within a single market") %>%
add_units("EJ") %>%
add_comments("Consumption of commodities competed within-region") %>%
add_precursors("energy/A_ff_RegionalTechnology",
"L2011.ff_ALL_EJ_R_C_Y") ->
L239.Consumption_intraregional
L239.CarbonCoef %>%
add_title("Primary Energy CO2 Coefficient for Fossil Trade Sectors") %>%
add_units("kgC/GJ") %>%
add_comments("All coefficients mapped from relevant fuels in L202.CarbonCoef") %>%
add_precursors("energy/A_ff_TradedTechnology",
"energy/A_ff_RegionalTechnology",
"L202.CarbonCoef") ->
L239.CarbonCoef
return_data(L239.PrimaryConsKeyword_en,
L239.Supplysector_tra,
L239.SectorUseTrialMarket_tra,
L239.SubsectorAll_tra,
L239.TechShrwt_tra,
L239.TechCost_tra,
L239.TechCoef_tra,
L239.Production_tra,
L239.Supplysector_reg,
L239.SubsectorAll_reg,
L239.TechShrwt_reg,
L239.TechCoef_reg,
L239.Production_reg_imp,
L239.Production_reg_dom,
L239.Consumption_intraregional,
L239.CarbonCoef)
} else {
stop("Unknown command")
}
}
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