Merge pull request #271 from johannah-pik/includeHistESdemand

Include historical energy service demand for fleet calculation

.buildlibrary

@@ -1,4 +1,4 @@
-ValidationKey: '4392300'
+ValidationKey: '4592640'
 AutocreateReadme: yes
 AcceptedWarnings:
 - 'Warning: package ''.*'' was built under R version'

CITATION.cff

@@ -2,8 +2,8 @@ cff-version: 1.2.0
 message: If you use this software, please cite it using the metadata from this file.
 type: software
 title: 'edgeTransport: Prepare EDGE Transport Data for the REMIND model'
-version: 2.2.0
-date-released: '2024-08-30'
+version: 2.3.0
+date-released: '2024-09-02'
 abstract: EDGE-T is a fork of the GCAM transport module https://jgcri.github.io/gcam-doc/energy.html#transportation
   with a high level of detail in its representation of technological and modal options.
   It is a partial equilibrium model with a nested multinomial logit structure and

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: edgeTransport
 Title: Prepare EDGE Transport Data for the REMIND model
-Version: 2.2.0
+Version: 2.3.0
 Authors@R: c(
     person("Johanna", "Hoppe", , "[email protected]", role = c("aut", "cre"),
            comment = c(ORCID = "0009-0004-6753-5090")),
@@ -18,7 +18,7 @@ Encoding: UTF-8
 LazyData: true
 RoxygenNote: 7.3.2
 VignetteBuilder: knitr
-Date: 2024-08-30
+Date: 2024-09-02
 Config/testthat/edition: 3
 Imports:
     rmndt,

R/iterativeEDGETransport.R

@@ -60,12 +60,12 @@ iterativeEdgeTransport <- function() {
                   "scenSpecEnIntensity",
                   "initialIncoCosts",
                   "annualMileage",
-                  "timeValueCosts")
+                  "timeValueCosts",
+                  "f29_trpdemand")
 
   inputs <- toolLoadIterativeInputs(edgeTransportFolder, inputFolder, inputFiles, numberOfRegions,
                                     SSPscen, transportPolScen, demScen)
 
-
   helpers <- inputs$helpers
   genModelPar <- inputs$genModelPar
   scenModelPar <- inputs$scenModelPar
@@ -74,6 +74,8 @@ iterativeEdgeTransport <- function() {
   # Data from previous REMIND iteration
   ## Load REMIND energy service demand
   REMINDsectorESdemand <- toolLoadREMINDesDemand(gdx, helpers)
+  REMINDsectorESdemand <- rbind(REMINDsectorESdemand, RDSinputs$f29_trpdemand[!period %in% unique(REMINDsectorESdemand$period)])
+
   ## Load REMIND fuel cost
   REMINDfuelCost <- toolLoadREMINDfuelCosts(gdx, hybridElecShare, helpers)
   # Convert fuel costs from US$2005/MJ to US$2005/vehkm

R/supportFunctionsIterative.R

@@ -17,6 +17,7 @@
                                                         "level", "variable", "unit", "value")
     else if (filename == "initialIncoCosts") colNames <- c("period", "region", "SSPscen", "demScen", "transportPolScen", "univocalName","technology","variable","unit","type","value")
     else if (filename == "timeValueCosts") colNames <-  c("period", "region", "SSPscen", "demScen", "transportPolScen", "univocalName", "variable", "unit", "value")
+    else if (filename == "f29_trpdemand") colNames <-  c("period", "region", "SSPscen", "demScen", "transportPolScen", "all_in", "value")
     else colNames <-  c("period", "region", "SSPscen", "demScen", "transportPolScen",
                         "univocalName", "technology", "variable", "unit", "value")
     tmp <- fread(
@@ -52,19 +53,6 @@ toolLoadRDSinputs <- function(edgeTransportFolder, inputFiles) {
 #' @export
 
 toolLoadIterativeInputs <- function(edgeTransportFolder, inputFolder, inputFiles, numberOfRegions, SSPscenario, transportPolScenario, demScenario) {
-  # Input from REMIND input data
-  # In the first iteration input data needs to be loaded
-  if (!dir.exists(file.path(edgeTransportFolder)))  {
-    print("Loading csv data from input folder and creating RDS files...")}
-  RDSfiles <- list()
-  for (filename in inputFiles) {
-    if (length(list.files(file.path(".", edgeTransportFolder), paste0(filename, ".RDS"), recursive = TRUE, full.names = TRUE)) < 1) {
-      RDSfiles <- append(RDSfiles, csv2RDS(filename, inputFolder, SSPscenario, demScenario, transportPolScenario))
-    }
-  }
-  if (length(RDSfiles) > 0) storeData(file.path(".", edgeTransportFolder), varsList = RDSfiles)
-
-  if (!length(RDSfiles) == length(inputFiles)) RDSfiles <- toolLoadRDSinputs(edgeTransportFolder, inputFiles)
 
   # Model input parameters from the package
   ## Exponents discrete choice model
@@ -109,6 +97,32 @@ toolLoadIterativeInputs <- function(edgeTransportFolder, inputFolder, inputFiles
   filterEntries[["trackedFleet"]] <- c(filterEntries[["trn_pass_road_LDV_4W"]], filterEntries[["trn_freight_road"]],
                                        getFilterEntriesUnivocalName("Bus", decisionTree)[["Bus"]])
 
+  # Input from REMIND input data
+  # In the first iteration input data needs to be loaded
+  if (!dir.exists(file.path(edgeTransportFolder)))  {
+    print("Loading csv data from input folder and creating RDS files...")}
+  RDSfiles <- list()
+  for (filename in inputFiles) {
+    if (length(list.files(file.path(".", edgeTransportFolder), paste0(filename, ".RDS"), recursive = TRUE, full.names = TRUE)) < 1) {
+      RDSfiles <- append(RDSfiles, csv2RDS(filename, inputFolder, SSPscenario, demScenario, transportPolScenario))
+    }
+  }
+  if (!is.null(RDSfiles$f29_trpdemand)) {
+    mapEdgeSectorToREMIND <- merge(mapEdgeToREMIND, unique(decisionTree[, c("sector", "univocalName")]), by = "univocalName", allow.cartesian = TRUE, all.x = TRUE)
+    mapEdgeSectorToREMIND <- mapEdgeSectorToREMIND[!is.na(all_in)]
+    mapEdgeSectorToREMIND <- unique(mapEdgeSectorToREMIND[, c("all_in", "sector")])
+    RDSfiles$f29_trpdemand <- merge(RDSfiles$f29_trpdemand[period >= 1990], mapEdgeSectorToREMIND, by = "all_in")[, all_in := NULL]
+    ## convert unit
+    trillionToBillion <- 1e3
+    RDSfiles$f29_trpdemand[, value := value
+                           * trillionToBillion]
+    RDSfiles$f29_trpdemand[, unit := ifelse(sector %in% c("trn_pass", "trn_aviation_intl"), "billion pkm/yr", "billion tkm/yr")][, variable := "ES"]
+    setcolorder(RDSfiles$f29_trpdemand, c("region", "period", "sector", "value", "unit"))
+  }
+  if (length(RDSfiles) > 0) storeData(file.path(".", edgeTransportFolder), varsList = RDSfiles)
+
+  if (!length(RDSfiles) == length(inputFiles)) RDSfiles <- toolLoadRDSinputs(edgeTransportFolder, inputFiles)
+
   # Time resolution
   dtTimeRes <- unique(RDSfiles$scenSpecEnIntensity[, c("univocalName", "period")])
   highRes <- unique(dtTimeRes$period)

R/toolCalculateFVdemand.R

@@ -19,7 +19,7 @@ toolCalculateFVdemand <- function(sectorESdemand, salesAndModeShares, helpers, h
   FVSshares <- FVSshares[, c("region", "sector", "subsectorL1", "subsectorL2", "subsectorL3", "vehicleType", "technology", "period", "FVSshare")]
 
 # Apply shares on demand --------------------------------------------
-  fuelVehicleESdemand <- merge(sectorESdemand, FVSshares, by = intersect(names(sectorESdemand), names(FVSshares)), all = TRUE)
+  fuelVehicleESdemand <- merge(sectorESdemand, FVSshares, by = intersect(names(sectorESdemand), names(FVSshares)), all.y = TRUE)
   fuelVehicleESdemand[, value := value * FVSshare][, FVSshare := NULL]
 
   if (!is.null(histESdemand)){

R/toolLoadREMINDesDemand.R

@@ -14,11 +14,11 @@ toolLoadREMINDesDemand <- function(gdxPath, helpers) {
   value <- unit <- variable <- NULL
 
   mapEdgeToREMIND <- merge(helpers$mapEdgeToREMIND, unique(helpers$decisionTree[, c("sector", "univocalName")]), by = "univocalName", allow.cartesian = TRUE, all.x = TRUE)
+  mapEdgeToREMIND <- mapEdgeToREMIND[!is.na(all_in)]
   mapEdgeToREMIND <- unique(mapEdgeToREMIND[, c("all_in", "sector")])
 
-  ESdemand <- readGDX(gdxPath, c("vm_cesIO"), field = "l")
+  ESdemand <- readGDX(gdxPath, c("vm_cesIO"), field = "l", restore_zeros = FALSE)
   ESdemand <- ESdemand[, , c("entrp_pass_sm", "entrp_pass_lo", "entrp_frgt_sm", "entrp_frgt_lo")]
-
   ESdemand <- magpie2dt(ESdemand, regioncol = "region",
                    yearcol = "period", datacols = "all_in")
 

README.md

@@ -1,6 +1,6 @@
 # Prepare EDGE Transport Data for the REMIND model
 
-R package **edgeTransport**, version **2.2.0**
+R package **edgeTransport**, version **2.3.0**
 
 [![CRAN status](https://www.r-pkg.org/badges/version/edgeTransport)](https://cran.r-project.org/package=edgeTransport)  [![R build status](https://github.com/pik-piam/edgeTransport/workflows/check/badge.svg)](https://github.com/pik-piam/edgeTransport/actions) [![codecov](https://codecov.io/gh/pik-piam/edgeTransport/branch/master/graph/badge.svg)](https://app.codecov.io/gh/pik-piam/edgeTransport) [![r-universe](https://pik-piam.r-universe.dev/badges/edgeTransport)](https://pik-piam.r-universe.dev/builds)
 
@@ -46,7 +46,7 @@ In case of questions / problems please contact Johanna Hoppe <johanna.hoppe@pik-
 
 To cite package **edgeTransport** in publications use:
 
-Hoppe J, Dirnaichner A, Rottoli M, Muessel J (2024). _edgeTransport: Prepare EDGE Transport Data for the REMIND model_. R package version 2.2.0, <https://github.com/pik-piam/edgeTransport>.
+Hoppe J, Dirnaichner A, Rottoli M, Muessel J (2024). _edgeTransport: Prepare EDGE Transport Data for the REMIND model_. R package version 2.3.0, <https://github.com/pik-piam/edgeTransport>.
 
 A BibTeX entry for LaTeX users is
 
@@ -55,7 +55,7 @@ A BibTeX entry for LaTeX users is
   title = {edgeTransport: Prepare EDGE Transport Data for the REMIND model},
   author = {Johanna Hoppe and Alois Dirnaichner and Marianna Rottoli and Jarusch Muessel},
   year = {2024},
-  note = {R package version 2.2.0},
+  note = {R package version 2.3.0},
   url = {https://github.com/pik-piam/edgeTransport},
 }
 ```