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metis.readgcam.R
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metis.readgcam.R
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#' metis.readgcam
#'
#' This function connects to a gcamdatabase and uses a query file to
#' out results into a table ready for plotting.
#' @param dirOutputs Full path to directory for outputs
#' @param folderName Default = NULL
#' @param nameAppend Default="". Name to append to saved files.
#' @param gcamdatabase Default = NULL. Full path to GCAM database folder.
#' @param queryFile Defualt = NULL. When NULL metis loads pre-saved xml file metis::xmlMetisQueries
#' @param dataProjFile Default = NULL. Optional. A default 'dataProj.proj' is produced if no .Proj file is specified.
#' @param scenOrigNames Default = "All". Original Scenarios names in GCAM database in a string vector.
#' For example c('scenario1','scenario2).
#' @param scenNewNames New Names which may be shorter and more useful for figures etc.
#' Default will use Original Names. For example c('scenario1','scenario2)
#' @param reReadData If TRUE will read the GCAM data base and create a queryData.proj file
#' in the same folder as the GCAM database. If FALSE will load a '.proj' file if a file
#' with full path is provided otherwise it will search for a dataProj.proj file in the existing
#' folder which may have been created from an old run.
#' @param regionsSelect The regions to analyze in a vector. Example c('Colombia','Argentina'). Full list:
#'
#' USA, Africa_Eastern, Africa_Northern, Africa_Southern, Africa_Western, Australia_NZ, Brazil, Canada
#' Central America and Caribbean, Central Asia, China, EU-12, EU-15, Europe_Eastern, Europe_Non_EU,
#' European Free Trade Association, India, Indonesia, Japan, Mexico, Middle East, Pakistan, Russia,
#' South Africa, South America_Northern, South America_Southern, South Asia, South Korea, Southeast Asia,
# Taiwan, Argentina, Colombia, Uruguay)
#' @param paramsSelect Default = "All".
#'
#' Choose "All" or paramSet from "energy", "electricity", "transport",
#' "water" , "socioecon" ,"ag" , "livestock" ,"land" ,"emissions".
#'
#' Or pick an individual param from the list:
#'
#' # energy
#' "energyPrimaryByFuelEJ","energyPrimaryRefLiqProdEJ",
#' "energyFinalConsumBySecEJ","energyFinalByFuelBySectorEJ","energyFinalSubsecByFuelTranspEJ",
#' "energyFinalSubsecByFuelBuildEJ", "energyFinalSubsecByFuelIndusEJ","energyFinalSubsecBySectorBuildEJ",
#' "energyPrimaryByFuelMTOE","energyPrimaryRefLiqProdMTOE",
#' "energyFinalConsumBySecMTOE","energyFinalbyFuelMTOE","energyFinalSubsecByFuelTranspMTOE",
#' "energyFinalSubsecByFuelBuildMTOE", "energyFinalSubsecByFuelIndusMTOE","energyFinalSubsecBySectorBuildMTOE",
#' "energyPrimaryByFuelTWh","energyPrimaryRefLiqProdTWh",
#' "energyFinalConsumBySecTWh","energyFinalbyFuelTWh","energyFinalSubsecByFuelTranspTWh",
#' "energyFinalSubsecByFuelBuildTWh", "energyFinalSubsecByFuelIndusTWh","energyFinalSubsecBySectorBuildTWh",
#'
#' # electricity
#' "elecByTechTWh","elecCapByFuel","elecFinalBySecTWh","elecFinalByFuelTWh",
#' "elecNewCapCost","elecNewCapGW","elecAnnualRetPrematureCost","elecAnnualRetPrematureGW","elecCumCapCost","elecCumCapGW","elecCumRetPrematureCost","elecCumRetPrematureGW",
#'
#' # transport
#' "transportPassengerVMTByMode", "transportFreightVMTByMode", "transportPassengerVMTByFuel", "transportFreightVMTByFuel",
#'
#' # water
#' "watConsumBySec", "watWithdrawBySec", "watWithdrawByCrop", "watBioPhysCons", "watIrrWithdrawBasin","watIrrConsBasin",
#'
#' # socioecon
#' "gdpPerCapita", "gdp", "gdpGrowthRate", "pop",
#'
#' # ag
#' "agProdbyIrrRfd", "agProdBiomass", "agProdForest","agProdByCrop",
#'
#' # livestock
#' "livestock_MeatDairybyTechMixed","livestock_MeatDairybyTechPastoral","livestock_MeatDairybyTechImports", "livestock_MeatDairybySubsector",
#'
#' # land
#' "landIrrRfd", "landIrrCrop","landRfdCrop", "landAlloc","landAllocByCrop",
#'
#' # emissions
#' "emissLUC", "emissNonCO2BySectorGWPAR5","emissNonCO2BySectorGTPAR5","emissNonCO2BySectorOrigUnits",
#' "emissNonCO2ByResProdGWPAR5", "emissBySectorGWPAR5FFI","emissMethaneBySourceGWPAR5",
#' "emissByGasGWPAR5FFI", "emissByGasGWPAR5LUC", "emissBySectorGWPAR5LUC",
#' "emissNonCO2ByResProdGTPAR5", "emissBySectorGTPAR5FFI","emissMethaneBySourceGTPAR5",
#' "emissByGasGTPAR5FFI", "emissByGasGTPAR5LUC","emissBySectorGTPAR5LUC",
#' "emissCO2BySectorNoBio"
#' @param saveData Default = "T". Set to F if do not want to save any data to file.
#' @return A list with the scenarios in the gcam database, queries in the queryxml file and a
#' tibble with gcam data formatted for metis charts aggregated to different categories.
#' These include data, dataAggParam, dataAggClass1, dataAggClass2.
#' @keywords gcam, gcam database, query
#' @export
metis.readgcam <- function(gcamdatabase = NULL,
queryFile = NULL,
dataProjFile = paste(getwd(), "/outputs/dataProj.proj", sep = ""),
scenOrigNames = "All",
scenNewNames = NULL,
reReadData = T,
dirOutputs = paste(getwd(), "/outputs", sep = ""),
regionsSelect = NULL,
paramsSelect="All",
folderName=NULL,
nameAppend="",
saveData = T
){
# gcamdatabase = NULL
# queryFile = NULL
# dataProjFile = paste(getwd(), "/outputs/dataProj.proj", sep = "")
# scenOrigNames = "All"
# scenNewNames = NULL
# reReadData = T
# dirOutputs = paste(getwd(), "/outputs", sep = "")
# regionsSelect = NULL
# paramsSelect="All"
# folderName=NULL
# nameAppend=""
# saveData = T
#----------------
# Initialize variables by setting to NULL
#----------------
NULL -> vintage -> year -> xLabel -> x -> value -> sector -> scenario -> region -> param -> origX -> origValue ->
origUnits -> origScen -> origQuery -> classPalette2 -> classPalette1 -> classLabel2 -> classLabel1 -> class2 ->
class1 -> connx -> aggregate -> Units -> sources -> paramx -> fuel -> technology -> input -> output -> water ->
landleaf -> ghg -> Convert -> regionsSelectAll->cf1971to2100->gcamCapacityFactor -> . -> GWPAR5 -> tblelecByTechTWh ->
totalFFINonCO2 -> FracBioFuel -> FracFossilFuel -> TotalLiquids -> agg_tech->
class_temp -> resource -> subRegAreaSum -> subsector->tblFinalNrgIntlAvShipMod -> 'transportation' ->
'International Aviation' -> 'International Ship' -> 'International Aviation oil' -> 'a oil' ->
'International Ship oil' -> 'International Aviation liquids' -> liquids -> 'International Ship liquids'->crop->
paramsSelectAll -> tblFinalNrgIntlAvShip->datax->group->basin->subRegion->query->subresource
#---------------------
# Params and Queries
#---------------------
paramQueryMap <- (metis::metis.mappings()$mapParamQuery)%>%dplyr::select(group,param,query)
# Check if queriesSelect is a querySet or one of the queries
if(!any(c("all","All","ALL") %in% paramsSelect)){
if(any(paramsSelect %in% unique(paramQueryMap$group))){
queriesSelectx <- as.vector(unlist(unique((paramQueryMap%>%dplyr::filter(group %in% paramsSelect))$query)))
#print(paste("queriesSelect chosen include the following querySets: ",paste(paramsSelect,collapse=", "),".",sep=""))
#print(paste("Which include the following queries: ",paste(queriesSelectx,collapse=", "),".",sep=""))
#print(paste("Other queries not run include: ",paste(as.vector(unlist(querySets))[!as.vector(unlist(querySets)) %in% queriesSelectx],collapse=", "),".",sep=""))
}else{
if(any(paramsSelect %in% as.vector(unique(paramQueryMap$param)))){
queriesSelectx<- as.vector(unlist(unique((paramQueryMap%>%dplyr::filter(param %in% paramsSelect))$query)))
#print(paste("queriesSelect chosen include the following queries: ",paste(queriesSelectx,collapse=", "),".",sep=""))
# print(paste("Other queries not run include: ",paste(as.vector(unlist(querySets))[!as.vector(unlist(querySets)) %in% queriesSelectx],collapse=", "),".",sep=""))
}else {
queriesSelectx <- NULL
print(paste("Params in metisQueries.xml include: ",paste(as.vector(unlist(unique(paramQueryMap$param))),collapse=", "),".",sep=""))
print("")
print(paste("None of the chosen paramsSelect are available in metis params: ",paste(paramsSelect,collapse=", "),".",sep=""))
stop("None of the params chosen are available.")
}
}}else{
queriesSelectx <- as.vector(unlist(unique(paramQueryMap$query)))
}
#-----------------------------
# Create necessary directories if they dont exist.
#----------------------------
if (!dir.exists(dirOutputs)){
dir.create(dirOutputs)} # Output Directory
if (!dir.exists(paste(dirOutputs, "/", folderName, sep = ""))){
dir.create(paste(dirOutputs, "/", folderName, sep = ""))}
if (!dir.exists(paste(dirOutputs, "/", folderName,"/readGCAM",sep=""))){
dir.create(paste(dirOutputs, "/", folderName,"/readGCAM",sep=""))} # Output Directory
if (!dir.exists(paste(dirOutputs, "/", folderName, "/readGCAM/Tables_gcam", sep = ""))){
dir.create(paste(dirOutputs, "/", folderName, "/readGCAM/Tables_gcam", sep = ""))} # GCAM output directory
#----------------
# Set file paths
#----------------
if(is.null(gcamdatabase)){
gcamdatabasePath = NULL
gcamdatabaseName = NULL
}else{
if(is.character(gcamdatabase)){
if(dir.exists(gcamdatabase)){
gcamdatabasePath <- gsub("/$","",gsub("[^/]+$","",gcamdatabase)); gcamdatabasePath
gcamdatabaseName <- basename(gcamdatabase); gcamdatabaseName
print(paste("Connecting to GCAM database provided ",gcamdatabase,"...",sep=""))
}else{stop(paste("The GCAM database path provided dos not exist: ", gcamdatabase, sep=""))}
}else{
print(paste("gcamdatabase provided is not a character string to the GCAM database path. Please check your entry."))
}
}
if(is.null(queryFile)){
XML::saveXML(metis::xmlMetisQueries, file=paste(dirOutputs, "/", folderName,"/readGCAM/metisQueries.xml", sep = ""))
queryFile <- paste(dirOutputs, "/", folderName,"/readGCAM/metisQueries.xml", sep = "")
xfun::gsub_file(queryFile,"'","'")
queryPath <- gsub("[^/]+$","",queryFile)
queryxml <- basename(queryFile)
}else{
if(is.character(queryFile)){
if(file.exists(queryFile)){
queryPath <- gsub("[^/]+$","",queryFile)
queryxml <- basename(queryFile)
print(paste("Connecting to the queryFile provided ",queryFile,"...",sep=""))
}else{print(paste("The queryFile path provided dos not exist: ", queryFile, sep=""))}
}else{
print(paste("The queryFile path provided is not a character string to the query file. Please check your entry."))
}
}
if(is.null(dataProjFile)){
dataProj = "dataProj"
dataProjPath = gsub("//","/",paste(dirOutputs, "/", folderName,"/readGCAM/", sep = ""))
}else{
if(is.list(dataProjFile)){
dataProjPath <- gsub("//","/",paste(dirOutputs, "/", folderName,"/readGCAM/", sep = ""))
dataProj <- paste("dataProj", sep = "")
}else{
if(is.character(dataProjFile)){
if(grepl("/",dataProjFile)){
if(file.exists(dataProjFile)){
dataProjPath <- gsub("[^/]+$","",dataProjFile)
dataProj <- basename(dataProjFile)
print(paste("Connecting to the dataProjFile provided ",dataProjFile,"...",sep=""))}else{
dataProjPath <- gsub("[^/]+$","",dataProjFile)
dataProj <- basename(dataProjFile)
print(gsub("//","/",paste("Will save GCAM data to ",dataProjPath,"/",dataProjFile,"...",sep="")))
}
}else{
dataProjPath <- gsub("//","/",paste(dirOutputs, "/", folderName,"/readGCAM/", sep = ""))
dataProj <- dataProjFile
print(paste("Will save data to: ", dataProjPath,"/",dataProjFile, sep=""))
}
}else{
print(paste("The dataProjFile path provided is not a character string to the query file. Please check your entry."))
}
}
}
# Set new scenario names if provided
if (is.null(scenOrigNames)) {
scenNewNames <- NULL
#print("scenOrigNames is NULL so cannot assign scenNewNames.")
#print("To set new names for scenarios please enter original names in scenOrigNames and then corresponding new names in scenNewNames.")
} else {
if(any(c("all","All","ALL") %in% scenOrigNames)){
scenNewNames <- NULL
#print("scenOrigNames is All so cannot assign scenNewNames.")
#print("To set new names for scenarios please enter original names in scenOrigNames and then corresponding new names in scenNewNames.")
}
}
#---------------------------------------------
# Read gcam database or existing dataProj.proj
#--------------------------------------------
# In case user sets reReadData=F and provides a .proj file instead of a gcamdatabase
if((is.null(gcamdatabasePath) | is.null(gcamdatabaseName)) &
reReadData==T){
if(is.list(dataProjFile)){
reReadData=F
#print("Setting reReadData to F because no gcamdatabase is provided but a valid dataProjFile provided.")
}
if(file.exists(paste(dataProjPath,"/",dataProj,sep=""))){
reReadData=F
#print("Setting reReadData to F because no gcamdatabase is provided but a valid dataProjFile provided.")
}
}
if (!reReadData) {
# Check for proj file path and folder if incorrect give error
if(!is.list(dataProjFile)){
if(!file.exists(gsub("//","/",paste(dataProjPath, "/", dataProj, sep = "")))){
stop(gsub("//","/",paste("dataProj file: ", dataProjPath,"/",dataProj," is incorrect or doesn't exist.",sep="")))}
}
# Checking if dataProjFile is preloaded xml metis::xmlMetiQueries
if(is.list(dataProjFile)){
dataProjLoaded <- rgcam::loadProject(dataProjFile)
}else{
if (file.exists(gsub("//","/",paste(dataProjPath, "/", dataProj, sep = "")))) {
dataProjLoaded <- rgcam::loadProject(gsub("//","/",paste(dataProjPath, "/", dataProj, sep = "")))
} else {
stop(paste("No ", dataProj, " file exists. Please set reReadData=T to create dataProj.proj"))
}}
scenarios <- rgcam::listScenarios(dataProjLoaded); scenarios # List of Scenarios in GCAM database
queries <- rgcam::listQueries(dataProjLoaded); queries # List of queries in GCAM database
# Select Scenarios
if(is.null(scenOrigNames)){
scenOrigNames <- scenarios[1]
print(paste("scenOrigNames set to NULL so using only first scenario: ",scenarios[1],sep=""))
print(paste("from all available scenarios: ",paste(scenarios,collapse=", "),sep=""))
print("To run all scenarios please set scenOrigNames to 'All' or")
print(paste("you can choose a subset of scenarios by setting the scenOrigNames input (eg. scenOrigNames = c('scen1','scen2'))" ,sep=""))
} else {
if(any(c("all","All","ALL") %in% scenOrigNames)){
scenOrigNames <- scenarios
print(paste("scenOrigNames set to 'All' (Default) so using all available scenarios: ",paste(scenarios,collapse=", "),sep=""))
print(paste("You can choose a subset of scenarios by setting the scenOrigNames input (eg. scenOrigNames = c('scen1','scen2'))" ,sep=""))
} else {
if(any(scenOrigNames %in% scenarios)){
print(paste("scenOrigNames available in scenarios are :",paste(scenOrigNames[scenOrigNames %in% scenarios],collapse=", "),sep=""))
if(length(scenOrigNames[!scenOrigNames %in% scenarios])>0){
print(paste("scenOrigNames not available in scenarios are :",paste(scenOrigNames[!scenOrigNames %in% scenarios],collapse=", "),sep=""))}
if(length(scenarios[!scenarios %in% scenOrigNames])>0){
print(paste("Other scenarios not selected are :",paste(scenarios[!scenarios %in% scenOrigNames],collapse=", "),sep=""))}
} else {
print(paste("None of the scenOrigNames : ",paste(scenOrigNames,collapse=", "),sep=""))
print(paste("are in the available scenarios : ",paste(scenarios,collapse=", "),sep=""))
}
}
}
scenarios <- scenOrigNames # Set scenarios to chosen scenarios
} else {
# Check for query file and folder if incorrect give error
if(!file.exists(gsub("//","/",paste(queryPath, "/", queryxml, sep = "")))){stop(paste("query file: ", queryPath,"/",queryxml," is incorrect or doesn't exist.",sep=""))}
if(file.exists(gsub("//","/",paste(queryPath, "/subSetQueries.xml", sep = "")))){unlink(gsub("//","/",paste(queryPath, "/subSetQueries.xml", sep = "")))}
# Subset the query file if queriwsSelect is not "All"
if(!any(c("All","all","ALL") %in% paramsSelect)){
xmlFilePath = gsub("//","/",paste(queryPath, "/", queryxml, sep = ""))
xmlfile <- XML::xmlTreeParse(xmlFilePath)
xmltop <- XML::xmlRoot(xmlfile)
top <- XML::xmlNode(XML::xmlName(xmltop))
for(i in 1:length(xmltop)){
for(j in 1:length(queriesSelectx)){
if(any(grepl(gsub("\\(","\\\\(",gsub("\\)","\\\\)",queriesSelectx[j])), as.character(xmltop[[i]]))))
top <- XML::addChildren(top, xmltop[[i]])
}
}
XML::saveXML(top, file=gsub("//","/",paste(queryPath, "/subSetQueries.xml", sep = "")))
} else {
print(paste("paramsSelect includes 'All' so running all available queries: ",paste(queriesSelectx,collapse=", "),".",sep=""))
file.copy(from=gsub("//","/",paste(queryPath, "/", queryxml, sep = "")),
to=gsub("//","/",paste(queryPath, "/subSetQueries.xml", sep = "")))
}
if(!file.exists(gsub("//","/",paste(queryPath, "/subSetQueries.xml", sep = "")))){
stop(gsub("//","/",paste("query file: ", queryPath,"/subSetQueries.xml is incorrect or doesn't exist.",sep="")))}else{
xfun::gsub_file(paste(queryPath, "/subSetQueries.xml", sep = ""),"'","'")
print(gsub("//","/",paste("Reading queries from queryFile created: ", queryPath,"/subSetQueries.xml.",sep="")))
}
# Check for gcamdatbasePath and gcamdatabasename
if(!is.null(gcamdatabase)){
if(is.null(gcamdatabasePath) | is.null(gcamdatabaseName)){
stop(gsub("//","/",paste("GCAM database: ", gcamdatabasePath,"/",gcamdatabaseName," is incorrect or doesn't exist.",sep="")))}
if(!file.exists(gsub("//","/",paste(gcamdatabasePath, "/", gcamdatabaseName, sep = "")))){
stop(gsub("//","/",paste("GCAM database: ", gcamdatabasePath,"/",gcamdatabaseName," is incorrect or doesn't exist.",sep="")))}
}
# Get names of scenarios in database
# Save Message from rgcam::localDBConn to a text file and then extract names
zz <- file(paste(getwd(),"/test.txt",sep=""), open = "wt")
sink(zz,type="message")
rgcam::localDBConn(gcamdatabasePath,gcamdatabaseName)
sink()
closeAllConnections()
# Read temp file
con <- file(paste(getwd(),"/test.txt",sep=""),open = "r")
first_line <- readLines(con,n=1); first_line
closeAllConnections()
if(grepl("error",first_line,ignore.case = T)){stop(paste(first_line))}
print(first_line)
if(file.exists(paste(getwd(),"/test.txt",sep=""))){unlink(paste(getwd(),"/test.txt",sep=""))}
# Extract scenario names from saved line
s1 <- gsub(".*:","",first_line);s1
s2 <- gsub(" ","",s1);s2
scenarios <- as.vector(unlist(strsplit(s2,",")))
print(paste("All scenarios in data available: ", paste(scenarios,collapse=", "), sep=""))
if(file.exists(gsub("//","/",paste(dataProjPath, "/", dataProj, sep = "")))){
unlink(gsub("//","/",paste(dataProjPath, "/", dataProj, sep = "")))} # Delete old project file
# Select Scenarios
if(is.null(scenOrigNames)){
scenOrigNames <- scenarios[1]
print(paste("scenOrigNames set to NULL so using only first scenario: ",scenarios[1],sep=""))
print(paste("from all available scenarios: ",paste(scenarios,collapse=", "),sep=""))
print("To run all scenarios please set scenOrigNames to 'All'")
} else {
if(any(c("all","All","ALL") %in% scenOrigNames)){
scenOrigNames <- scenarios
print(paste("scenOrigNames set to 'All' so using all available scenarios: ",paste(scenarios,collapse=", "),sep=""))
} else {
if(any(scenOrigNames %in% scenarios)){
print(paste("scenOrigNames available in scenarios are :",paste(scenOrigNames[scenOrigNames %in% scenarios],collapse=", "),sep=""))
if(length(scenOrigNames[!scenOrigNames %in% scenarios])>0){
print(paste("scenOrigNames not available in scenarios are :",paste(scenOrigNames[!scenOrigNames %in% scenarios],collapse=", "),sep=""))}
if(length(scenarios[!scenarios %in% scenOrigNames])>0){
print(paste("Other scenarios not selected are :",paste(scenarios[!scenarios %in% scenOrigNames],collapse=", "),sep=""))}
} else {
print(paste("None of the scenOrigNames : ",paste(scenOrigNames,collapse=", "),sep=""))
print(paste("are in the available scenarios : ",paste(scenarios,collapse=", "),sep=""))
stop("Please check scenOrigNames and rerun.")
}
}
}
for (scenario_i in scenOrigNames) {
dataProj.proj <- rgcam::addScenario(conn = rgcam::localDBConn(gcamdatabasePath, gcamdatabaseName), proj = gsub("//","/",paste(dataProjPath, "/", dataProj, sep = "")),
scenario = scenario_i, queryFile = gsub("//","/",paste(queryPath, "/subSetQueries.xml", sep = ""))) # Check your queries file
}
dataProjLoaded <- rgcam::loadProject(gsub("//","/",paste(dataProjPath, "/", dataProj, sep = "")))
# Save list of scenarios and queries
scenarios <- rgcam::listScenarios(dataProjLoaded); scenarios # List of Scenarios in GCAM database
queries <- rgcam::listQueries(dataProjLoaded); queries # List of queries in GCAM database
}
queries <- rgcam::listQueries(dataProjLoaded); queries # List of Queries in queryxml
# Set new scenario names if provided
if (is.null(scenNewNames)) {
scenNewNames <- scenOrigNames}else{
scenNewNames <- scenNewNames[1:length(scenOrigNames)]
}
# Read in paramaters from query file to create formatted table
queriesx <- queries
if(!any(queriesSelectx %in% queries)){stop("None of the selected params are available in the data that has been read.
Please check your data if reRead was set to F. Otherwise check the paramSelect entries and the queryxml file.")}
paramsSelectAll <- as.vector(unlist(unique(paramQueryMap$param)))
if(any(c("all","All","ALL") %in% paramsSelect)){
paramsSelectx <- paramsSelectAll
} else {
if(any(paramsSelect %in% as.vector(unique(paramQueryMap$group)))){
paramsSelectx <- unique((paramQueryMap%>%dplyr::filter(group %in% paramsSelect))$param)
} else {paramsSelectx=paramsSelect}
}
# Check if any of the selected parameters are available in the GCAM data
if(any(paramsSelectx %in% paramsSelectAll)){
datax <- tibble::tibble()
if(T){
queriesx <- queriesx[queriesx %in% queries]
paramx<-"energyFinalConsumByIntlShpAvEJ"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "transport final energy by mode and fuel"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% c(regionsSelect))
}
tbl <- tbl %>%
dplyr::filter(mode %in% c("International Aviation", "International Ship"))%>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(param = "energyFinalConsumByIntlShpAvEJ",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
units = "Final Energy Intl. Av and Shp (EJ)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = mode,
classLabel1 = "Sector",
classPalette1 = "pal_metis",
class2 = gsub(" enduse","",input),
classLabel2 = "Fuel",
classPalette2 = "pal_metis")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%
dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
tblFinalNrgIntlAvShip <- tbl
datax <- dplyr::bind_rows(datax, tbl)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"energyFinalConsumBySecEJ"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "total final energy by aggregate sector"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
tbl <- tbl %>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(param = "energyFinalConsumBySecEJ",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
units = "Final Energy by Sector (EJ)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = dplyr::case_when(
grepl("building|comm|resid",sector)~"building",
grepl("industry",sector)~"industry",
grepl("transport",sector)~"transport"),
classLabel1 = "Sector",
classPalette1 = "pal_metis",
class2 = sector,
classLabel2 = "Subsector",
classPalette2 = "pal_metis")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%
dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
if(!is.null(tblFinalNrgIntlAvShip)){
# Separat out Intl. Shipping and Aviation from Transport
tblTransport <- tbl%>%dplyr::filter(class1=="transportation") %>%
dplyr::mutate(class2="class2",classLabel2="classLabel2",classPalette2="classPalette2") %>%
dplyr::select(-origValue)# Subset Transport Sector
tblFinalNrgIntlAvShipMod <- tblFinalNrgIntlAvShip %>%
dplyr::mutate(param=unique(tblTransport$param),
sources=unique(tblTransport$sources),
origQuery=unique(tblTransport$origQuery),
origUnits=unique(tblTransport$origUnits),
units=unique(tblTransport$units),
xLabel=unique(tblTransport$xLabel),
aggregate=unique(tblTransport$aggregate),
class2=unique(tblTransport$class2),
classLabel2=unique(tblTransport$classLabel2),
classPalette2=unique(tblTransport$classPalette2),
classLabel1=unique(tblTransport$classLabel1),
classPalette1=unique(tblTransport$classPalette1))%>%
dplyr::select(-origValue)# Prepare in intl. transport in correct format
# Separate out Intl. Shipping and Aviation
tblSepTransportIntlAvShip <- tblTransport %>%
dplyr::bind_rows(tblFinalNrgIntlAvShipMod) %>%
tidyr::spread(key="class1",value="value") %>%
dplyr::mutate(transportation=transportation-`International Aviation`-`International Ship`)%>%
dplyr::rename(`transport intl av`=`International Aviation`,
`transport intl shp`=`International Ship`) %>%
tidyr::gather(key="class1",value="value",
-scenario, -region, -subRegion, -param, -sources, -class2, -x, -xLabel, -vintage, -units, -aggregate,
-classLabel1, -classPalette1, -classLabel2, -classPalette2,
-origScen,-origQuery,-origUnits,-origX)%>%
dplyr::mutate(origValue=value); tblSepTransportIntlAvShip%>%as.data.frame()
# Rbind Transport, Intl. Shipping and Aviation back to all other Final Energy types
tblMod<-tbl%>%dplyr::filter(class1!="transportation") %>%
dplyr::bind_rows(tblSepTransportIntlAvShip) # Remove Transport sector from Original tbl
} else {
# print(paste("tblFinalNrgIntlAvShip does not exist so skipping subset of final energy to remove intl. shipping and aviation."))
tblMod <- tbl
}
tblMod <- tblMod %>%
dplyr::mutate(class2 = dplyr::case_when(grepl("comm|resid|building",class1)~"building",
grepl("industry",class1)~"industry",
grepl("transport",class1)~"transport",
TRUE~class2)) %>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
datax <- dplyr::bind_rows(datax, tblMod)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"energyFinalSubsecBySectorBuildEJ"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "building final energy by subsector"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
tbl <- tbl %>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(param = "energyFinalSubsecBySectorBuildEJ",
sector=gsub("comm\\scooling","Commercial CoolingHeating",sector),
sector=gsub("comm\\sheating","Commercial CoolingHeating",sector),
sector=gsub("comm\\sothers","Commercial Others",sector),
sector=gsub("resid\\scooling","Residential CoolingHeating",sector),
sector=gsub("resid\\sheating","Residential CoolingHeating",sector),
sector=gsub("resid\\sothers","Residential Others",sector),
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
units = "Building Final Energy By Subsector (EJ)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = sector,
classLabel1 = "Sector",
classPalette1 = "pal_metis",
class2 = subsector,
classLabel2 = "classLabel2",
classPalette2 = "classPalette2")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%
dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
datax <- dplyr::bind_rows(datax, tbl)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"energyFinalByFuelBySectorEJ"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "Final energy by detailed end-use sector and fuel"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
tbl <- tbl %>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::filter(!grepl("trn",input))%>%
dplyr::mutate(input=dplyr::if_else(input=="biomass","bioenergy",input),
sector=gsub("process heat cement","industry",sector),
sector=gsub("cement","industry",sector),
sector=gsub("industrial energy use","industry",sector),
sector=gsub("industrial feedstocks","industry",sector),
sector=gsub("N fertilizer","industry",sector),
sector=gsub("trn_aviation_intl","trans intl av",sector),
sector=gsub("trn_shipping_intl","trans intl shp",sector),
sector = replace(sector, stringr::str_detect(sector, "trn"), "transport"),
sector=gsub("comm cooling","building",sector),
sector=gsub("comm heating","building",sector),
sector=gsub("comm others","building",sector),
sector=gsub("resid cooling","building",sector),
sector=gsub("resid heating","building",sector),
sector=gsub("resid others","building",sector),
input=gsub("elect\\_td\\_ind","electricity",input),
input=gsub("elect\\_td\\_bld","electricity",input),
input=gsub("elect\\_td\\_trn","electricity",input),
input=gsub("delivered coal","coal",input),
input=gsub("refined liquids enduse","liquids",input),
input=gsub("delivered biomass","biomass",input),
input=gsub("H2 enduse","hydrogen",input),
input=gsub("refined liquids industrial","liquids",input),
input=gsub("wholesale gas","gas",input),
input=gsub("traditional biomass","biomass",input),
input=gsub("delivered gas","gas",input),
input=gsub("district heat","Other",input),
param = "energyFinalByFuelBySectorEJ",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
units = "Final Energy by Fuel (EJ)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = input,
classLabel1 = "Fuel",
classPalette1 = "pal_metis",
class2 = sector,
classLabel2 = "classLabel2",
classPalette2 = "classPalette2")%>%
dplyr::mutate(class1=dplyr::case_when(class2=="trans intl av"~paste(class1,"av",sep=" "),
class2=="trans intl shp"~paste(class1,"shp",sep=" "),
TRUE~class1))%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
datax <- dplyr::bind_rows(datax, tbl)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"energyFinalSubsecByFuelBuildEJ"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "building final energy by fuel"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
tbl <- tbl %>%
dplyr::rename(sector=input) %>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(sector=gsub("elect_td_bld","electricity",sector),
sector=gsub("delivered gas","gas",sector),
sector=gsub("delivered biomass","bioenergy",sector),
sector=gsub("delivered coal","coal",sector),
sector=gsub("refined liquids enduse","liquids",sector),
param = "energyFinalSubsecByFuelBuildEJ",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
units = "Building Final Energy by Fuel (EJ)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = sector,
classLabel1 = "Fuel",
classPalette1 = "pal_metis",
class2 = sector,
classLabel2 = "classLabel2",
classPalette2 = "classPalette2")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
datax <- dplyr::bind_rows(datax, tbl)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"energyFinalSubsecByFuelIndusEJ"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "industry final energy by fuel"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
tbl <- tbl %>%
dplyr::rename(sector=input) %>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(sector=gsub("elect_td_ind","electricity",sector),
sector=gsub("wholesale gas","gas",sector),
sector=gsub("delivered biomass","bioenergy",sector),
sector=gsub("delivered coal","coal",sector),
sector=gsub("refined liquids industrial","liquids",sector),
sector=gsub("H2 enduse","hydrogen",sector),
param = "energyFinalSubsecByFuelIndusEJ",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
units = "Industry Final Energy by Fuel (EJ)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = sector,
classLabel1 = "Fuel",
classPalette1 = "pal_metis",
class2 = sector,
classLabel2 = "classLabel2",
classPalette2 = "classPalette2")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
datax <- dplyr::bind_rows(datax, tbl)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"elecFinalBySecTWh"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "inputs by tech"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
# USA
tblUSA <- tbl %>%
dplyr::filter(grepl("domestic supply",input),
region %in% metis.assumptions("US52"),
scenario %in% scenOrigNames)%>%
dplyr::mutate(
class2=sector,
sector=dplyr::case_when(
grepl("comm |resid |elect_td_bld",sector,ignore.case = T)~"building",
grepl("elect_td_trn",sector,ignore.case = T)~"transport",
grepl("elect_td_ind",sector,ignore.case = T)~"industry",
TRUE~sector))%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(param = "elecFinalBySecTWh",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
value = value * metis.assumptions("convEJ2TWh"),
units = "Final Electricity by Sector (TWh)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = sector,
classLabel1 = "Sector",
classPalette1 = "pal_metis",
classLabel2 = "subsector",
classPalette2 = "classPalette2")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
# CORE
tblCORE <- tbl %>%
dplyr::filter(!region %in% c(metis.assumptions("US52")),
scenario %in% scenOrigNames,
sector %in% c("elect_td_bld","elect_td_trn","elect_td_ind"))%>%
dplyr::mutate(
sector=dplyr::case_when(
grepl("elect_td_bld",sector,ignore.case = T)~"building",
grepl("elect_td_trn",sector,ignore.case = T)~"transport",
grepl("elect_td_ind",sector,ignore.case = T)~"industry",
TRUE~sector))%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(param = "elecFinalBySecTWh",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
value = value * metis.assumptions("convEJ2TWh"),
units = "Final Electricity by Sector (TWh)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = sector,
classLabel1 = "Sector",
classPalette1 = "pal_metis",
class2 = sector,
classLabel2 = "subsector",
classPalette2 = "classPalette2")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
datax <- dplyr::bind_rows(datax, tblUSA,tblCORE)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"elecFinalByFuelTWh"
# Total final energy by aggregate end-use sector
if(paramx %in% paramsSelectx){
queryx <- "Final energy by detailed end-use sector and fuel"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
tbl <- tbl %>%
dplyr::filter(grepl("elect",input))%>%
dplyr::filter(!grepl("trn",input))%>%
dplyr::mutate(input=gsub("elect\\_td\\_ind","electricity",input),
input=gsub("elect\\_td\\_bld","electricity",input),
input=gsub("elect\\_td\\_trn","electricity",input),
input=gsub("delivered\\scoal","coal",input),
input=gsub("refined\\sliquids\\senduse","oil",input),
input=gsub("delivered\\sbiomass","biomass",input),
input=gsub("H2\\senduse","hydrogen",input),
input=gsub("refined\\sliquids industrial","oil",input),
input=gsub("wholesale\\sgas","gas",input),
input=gsub("traditional\\sbiomass","biomass",input),
input=gsub("delivered\\sgas","gas",input),
input=gsub("district\\sheat","Other",input))%>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(param = "elecFinalByFuelTWh",
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
value = value * metis.assumptions("convEJ2TWh"),
units = "Final Electricity by Fuel (TWh)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = input,
classLabel1 = "Fuel",
classPalette1 = "pal_metis",
class2 = sector,
classLabel2 = "Sector",
classPalette2 = "classPalette2")%>%
dplyr::select(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units, value,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origValue, origUnits, origX)%>%
dplyr::group_by(scenario, region, subRegion, param, sources, class1, class2, x, xLabel, vintage, units,
aggregate, classLabel1, classPalette1,classLabel2, classPalette2,
origScen, origQuery, origUnits, origX)%>%dplyr::summarize_at(dplyr::vars("value","origValue"),list(~sum(.,na.rm = T)))%>%dplyr::ungroup()%>%
dplyr::filter(!is.na(value))
datax <- dplyr::bind_rows(datax, tbl)
} else {
# if(queryx %in% queriesSelectx){print(paste("Query '", queryx, "' not found in database", sep = ""))}
}}
paramx<-"energyPrimaryByFuelEJ"
# primary energy consumption by region (direct equivalent)
if(paramx %in% paramsSelectx){
queryx <- "primary energy consumption by region (direct equivalent)"
if (queryx %in% queriesx) {
tbl <- rgcam::getQuery(dataProjLoaded, queryx) # Tibble
if (!is.null(regionsSelect)) {
tbl <- tbl %>% dplyr::filter(region %in% regionsSelect)
}
tbl <- tbl %>%
dplyr::filter(scenario %in% scenOrigNames)%>%
dplyr::left_join(tibble::tibble(scenOrigNames, scenNewNames), by = c(scenario = "scenOrigNames")) %>%
dplyr::mutate(param = "energyPrimaryByFuelEJ",
fuel=gsub("biomass","bioenergy",fuel),
fuel=gsub("b biomass","b bioenergy",fuel),
sources = "Sources",
origScen = scenario,
origQuery = queryx,
origValue = value,
origUnits = Units,
origX = year, subRegion=region,
scenario = scenNewNames,
units = "Primary Energy Consumption by Fuel (EJ)",
vintage = paste("Vint_", year, sep = ""),
x = year,
xLabel = "Year",
aggregate = "sum",
class1 = fuel,
classLabel1 = "Fuel",
classPalette1 = "pal_metis",