#' Read REMIND region dependent data
#'
#' Read-in an csv files that contains regional data
#'
#' @param subtype Name of the regional data, e.g. "p4", "biomass", "ch4waste",
#' "tradecost", "pe2se", "xpres_tax", "deltacapoffset", "capacityFactorGlobal",
#' "capacityFactorRules", "residuesShare", "taxConvergence", "maxFeSubsidy",
#' "maxPeSubsidy", "propFeSubsidy", "fossilExtractionCoeff", "uraniumExtractionCoeff",
#' "RLDCCoefficientsLoB", "RLDCCoefficientsPeak", "earlyRetirementAdjFactor"
#' @return magpie object of region dependent data
#' @author original: not defined, capacity factor, tax, fossil and RLDC changes: Renato Rodrigues
#' @seealso \code{\link{readSource}}
#' @examples
#' \dontrun{
#' a <- readSource(type = "REMIND_11Regi", subtype = "capacityFactorGlobal")
#' }
readREMIND_11Regi <- function(subtype) {
switch(
subtype,
"p4" = read.csv("EconometricEmissionParameter_p4.csv", sep = ";", row.names = 1) %>% as.magpie(),
"biomass" = readxl::read_excel("biomass.xlsx") %>% as.magpie(x, datacol = 4),
"ch4waste" = read.csv("emimac0_ch4waste.csv", sep = ";", row.names = 1) %>% as.magpie(),
"tradecost" = read.csv("LueckenDiss_TradeCost.csv", sep = ";", row.names = 1) %>% as.magpie(),
"pe2se" = read.csv("tax_pe2se_sub.csv", sep = ";") %>% as.magpie(datacol = 2),
"xpres_tax" = {
x <- read.csv("p21_tau_xpres_tax.csv", sep = ";")
x <- as.magpie(x, datacol = 2)
getYears(x) <- "y2005"
getNames(x) <- "peoil"
x
},
"deltacapoffset" = read.csv("p_adj_deltacapoffset.csv", sep = ";") %>% as.magpie(datacol = 2),
"capacityFactorGlobal" = read.csv("f_cf-global_REMIND_3.3.5.csv", sep = ";") %>% as.magpie(datacol = 2),
"capacityFactorRules" = read.csv("f_cf-rules.csv", sep = ";") %>% as.magpie(datacol = 4),
"storageFactor" = read.csv("storageFactor.csv", sep = ";") %>% as.magpie(datacol = 2),
"residuesShare" = read.csv("residuesShare.csv", row.names = 1) %>% as.magpie(datacol = 4),
"shareIndFE" = read.csv("shareIndustyFE.csv", sep = ";", skip = 3) %>% as.magpie(datacol = 3),
"taxConvergence" = read.csv("tax_convergence.csv", sep = ";") %>% as.magpie(datacol = 4),
"maxFeSubsidy" = read.csv("max_FE_subsidy.csv", sep = ";") %>% as.magpie(datacol = 4),
"maxPeSubsidy" = read.csv("max_PE_subsidy.csv", sep = ";") %>% as.magpie(datacol = 4),
"propFeSubsidy" = read.csv("prop_FE_subsidy.csv", sep = ";") %>% as.magpie(datacol = 4),
"gridFactor" = {
x <- read.csv("homogenous_regions_for grids.csv", sep = ";")
x$X <- NULL
as.magpie(x, datacol = 2)
},
"AP_starting_values" = read.csv("f11_emiAPexsolve.cs4r", skip = 1, header = FALSE) %>% as.magpie(datacol = 6),
"ccs" = read.csv("p_dataccs.csv", sep = ";") %>% as.magpie(spatial = 1, datacol = 2),
"ffPolyRent" = read.csv("ffPolyRent.csv", sep = ";") %>% as.magpie(spatial = 1, datacol = 5),
"ffPolyCumEx" = read.csv("ffPolyCumEx.csv", sep = ";") %>% as.magpie(spatial = 1, datacol = 5),
"fossilExtractionCoeff" = {
x <- read.csv("fossil_extraction_cost_eq_coefficients.csv", sep = ";")
# Removing the X string added to the column names because how the read.table call inside
# the read.csv function converts column name numbers to valid variable strings (by using check.names)
colnames(x) <- gsub("^X", "", colnames(x))
x <- as.magpie(x, spatial = 1, temporal = 0, datacol = 3)
# JPN SSP5 gas extraction zero-order coeff was originally negative.
x["JPN", , "highGas.0"] <- 0
x
},
"uraniumExtractionCoeff" = read.csv("uranium_extraction_cost_eq_coefficients.csv", sep = ";") %>%
as.magpie(spatial = 1, temporal = 0, datacol = 3),
"RLDCCoefficientsLoB" = read.csv("RLDC_Coefficients_LoB.csv", sep = ";") %>%
as.magpie(spatial = 1, temporal = 0, datacol = 3),
"RLDCCoefficientsPeak" = read.csv("RLDC_Coefficients_Peak.csv", sep = ";") %>%
as.magpie(spatial = 1, temporal = 0, datacol = 3),
"earlyRetirementAdjFactor" = {
y <- read.csv("earlyRetirementAdjFactor.csv", sep = ";", skip = 5)
x <- as.magpie(y, spatial = 1, temporal = 0, datacol = 2)
x <- setNames(x, colnames(y)[-1])
x
},
"nashWeight" = read.csv("nash_weights.csv", sep = ";") %>% as.magpie(spatial = 1, datacol = 2),
stop("Not a valid subtype!")
)
}
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