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Merge pull request #291 from johannah-pik/fixUnitShift
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Fix unit shift
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fbenke-pik authored Oct 11, 2024
2 parents a4d2267 + fcff67e commit d33ea62
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2 changes: 1 addition & 1 deletion .buildlibrary
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@@ -1,4 +1,4 @@
ValidationKey: '5418103'
ValidationKey: '5461911'
AutocreateReadme: yes
AcceptedWarnings:
- 'Warning: package ''.*'' was built under R version'
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16 changes: 8 additions & 8 deletions .github/workflows/check.yaml
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Expand Up @@ -23,14 +23,14 @@ jobs:
- uses: r-lib/actions/setup-r-dependencies@v2
with:
extra-packages: |
any::lucode2
any::covr
any::madrat
any::magclass
any::citation
any::gms
any::goxygen
any::GDPuc
lucode2
covr
madrat
magclass
citation
gms
goxygen
GDPuc
# piam packages also available on CRAN (madrat, magclass, citation,
# gms, goxygen, GDPuc) will usually have an outdated binary version
# available; by using extra-packages we get the newest version
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4 changes: 2 additions & 2 deletions CITATION.cff
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Expand Up @@ -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: 2.7.1
date-released: '2024-09-27'
version: 2.7.3
date-released: '2024-10-11'
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
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7 changes: 4 additions & 3 deletions DESCRIPTION
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@@ -1,6 +1,6 @@
Package: edgeTransport
Title: Prepare EDGE Transport Data for the REMIND model
Version: 2.7.1
Version: 2.7.3
Authors@R: c(
person("Johanna", "Hoppe", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0009-0004-6753-5090")),
Expand All @@ -11,14 +11,15 @@ Description: EDGE-T is a fork of the GCAM transport module https://jgcri.github.
Depends:
R (>= 3.5.0),
data.table (>= 1.11.0),
mrtransport (>= 0.6.0)
mrtransport (>= 0.6.0),
GDPuc (>= 1.3.0)
License: GPL-3
URL: https://github.com/pik-piam/edgeTransport
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Date: 2024-09-27
Date: 2024-10-11
Config/testthat/edition: 3
Imports:
rmndt,
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1 change: 1 addition & 0 deletions NAMESPACE
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Expand Up @@ -23,6 +23,7 @@ export(toolOrderandCheck)
export(toolPrepareScenInputData)
export(toolTraverseDecisionTree)
export(toolUpdateEndogenousCosts)
import(GDPuc)
import(data.table)
import(mrtransport)
importFrom(data.table,fread)
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2 changes: 1 addition & 1 deletion R/imports.R
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@@ -1,4 +1,4 @@
# Generated by lucode2: do not edit by hand

#' @import data.table mrtransport
#' @import data.table mrtransport GDPuc
NULL
4 changes: 2 additions & 2 deletions R/toolEdgeTransportSA.R
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Expand Up @@ -34,7 +34,7 @@ toolEdgeTransportSA <- function(SSPscen,
isAnalyticsReported = FALSE){

# set GDP cutoff to differentiate between regions
GDPcutoff <- 25000 # [constant 2005 US$MER]
GDPcutoff <- 30800 # [constant 2017 US$MER]
# Year when scenario differentiation sets in
policyStartYear <- 2021
# last time step of historical data
Expand All @@ -47,7 +47,7 @@ toolEdgeTransportSA <- function(SSPscen,
########################################################
if (is.null(outputFolder) & isStored) stop("Please provide an outputfolder to store your results")
if (is.null(gdxPath)) {gdxPath <- file.path(getConfig("sourcefolder"),
"REMINDinputForTransportStandalone", "v1.1", "fulldata.gdx")}
"REMINDinputForTransportStandalone", "v1.0", "fulldata.gdx")}
if (!file.exists(gdxPath)) stop("Please provide valid path to REMIND fulldata.gdx as input for fuel costs")

inputs <- toolLoadInputs(SSPscen, transportPolScen, demScen, gdxPath, hybridElecShare)
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9 changes: 9 additions & 0 deletions R/toolLoadREMINDfuelCosts.R
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Expand Up @@ -22,6 +22,14 @@ toolLoadREMINDfuelCosts <- function(gdxPath, hybridElecShare, helpers){

# load prices from REMIND gdx
fuelCosts <- readGDX(gdxPath, "pm_FEPrice", format = "first_found", restore_zeros = FALSE)[,, "trans.ES", pmatch = TRUE]

fuelCosts <- GDPuc::toolConvertGDP(
gdp = fuelCosts,
unit_in = "constant 2005 US$MER",
unit_out = "constant 2017 US$MER",
replace_NAs = "with_USA"
)

## smooth prices from REMIND gdx (over years) and convert to data.table
fuelCosts <- fuelCosts %>% lowpass() %>% magpie2dt()
setnames(fuelCosts, c("all_regi", "ttot"), c("region", "period"))
Expand All @@ -32,6 +40,7 @@ toolLoadREMINDfuelCosts <- function(gdxPath, hybridElecShare, helpers){
fuelCosts[, value := value * tdptwyr2dpgj * GJtoMJ] # US$2017/MJ
# map on EDGE-T structure
fuelCosts <- merge(fuelCosts, mapEdgeToREMIND, by = "all_enty", all.y = TRUE, allow.cartesian = TRUE)[, all_enty := NULL]

# calculate price for hybrids
dummy <- fuelCosts[univocalName %in% helpers$filterEntries$trn_pass_road_LDV_4W & technology %in% c("BEV", "Liquids")]
fuelCostsHybrids <- dummy %>%
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3 changes: 0 additions & 3 deletions R/toolLoadmrremindData.R
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Expand Up @@ -13,9 +13,6 @@ toolLoadmrremindData <- function(helpers) {
setnames(subsidies, "variable", "technology")
#average between legal and private entities
subsidies <- subsidies[, .(value = mean(value)), by = c("region", "period", "technology")]
# exchange rate 2020: 1 euro = 1.12 dollar
# conversion from EUR2020 to US$2017 : inflation/exchange rate = 1.3504/1.12 = 1.205714286
subsidies[, value := value / 1.205714286] # in 2005 USD
subsidies[, value := - value] # count subsidies negative
completeSub <- unique(subsidies[, c("region", "technology")])[, temporal := "all"]
temporal <- data.table(period = yrs)[, temporal := "all"]
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6 changes: 3 additions & 3 deletions README.md
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@@ -1,6 +1,6 @@
# Prepare EDGE Transport Data for the REMIND model

R package **edgeTransport**, version **2.7.1**
R package **edgeTransport**, version **2.7.3**

[![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)

Expand Down Expand Up @@ -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 2.7.1, <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 2.7.3, <https://github.com/pik-piam/edgeTransport>.

A BibTeX entry for LaTeX users is

Expand All @@ -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 2.7.1},
note = {R package version 2.7.3},
url = {https://github.com/pik-piam/edgeTransport},
}
```
84 changes: 0 additions & 84 deletions inst/extdata/scenParDemFactors.csv
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Expand Up @@ -167,90 +167,6 @@ SSP2_demRedWeak;REF;trn_pass;2050;0.95
SSP2_demRedWeak;SSA;trn_pass;2050;0.95
SSP2_demRedWeak;UKI;trn_pass;2050;0.95
SSP2_demRedWeak;USA;trn_pass;2050;0.95
SSP2_demRedLow;CAZ;trn_aviation_intl;2050;0.93
SSP2_demRedLow;CHA;trn_aviation_intl;2050;0.93
SSP2_demRedLow;DEU;trn_aviation_intl;2050;0.93
SSP2_demRedLow;ECE;trn_aviation_intl;2050;0.93
SSP2_demRedLow;ECS;trn_aviation_intl;2050;0.93
SSP2_demRedLow;ENC;trn_aviation_intl;2050;0.93
SSP2_demRedLow;ESC;trn_aviation_intl;2050;0.93
SSP2_demRedLow;ESW;trn_aviation_intl;2050;0.93
SSP2_demRedLow;EWN;trn_aviation_intl;2050;0.93
SSP2_demRedLow;FRA;trn_aviation_intl;2050;0.93
SSP2_demRedLow;IND;trn_aviation_intl;2050;0.93
SSP2_demRedLow;JPN;trn_aviation_intl;2050;0.93
SSP2_demRedLow;LAM;trn_aviation_intl;2050;0.93
SSP2_demRedLow;MEA;trn_aviation_intl;2050;0.93
SSP2_demRedLow;NEN;trn_aviation_intl;2050;0.93
SSP2_demRedLow;NES;trn_aviation_intl;2050;0.93
SSP2_demRedLow;OAS;trn_aviation_intl;2050;0.93
SSP2_demRedLow;REF;trn_aviation_intl;2050;0.93
SSP2_demRedLow;SSA;trn_aviation_intl;2050;0.93
SSP2_demRedLow;UKI;trn_aviation_intl;2050;0.93
SSP2_demRedLow;USA;trn_aviation_intl;2050;0.93
SSP2_demRedLow;CAZ;trn_shipping_intl;2050;0.99
SSP2_demRedLow;CHA;trn_shipping_intl;2050;0.99
SSP2_demRedLow;DEU;trn_shipping_intl;2050;0.99
SSP2_demRedLow;ECE;trn_shipping_intl;2050;0.99
SSP2_demRedLow;ECS;trn_shipping_intl;2050;0.99
SSP2_demRedLow;ENC;trn_shipping_intl;2050;0.99
SSP2_demRedLow;ESC;trn_shipping_intl;2050;0.99
SSP2_demRedLow;ESW;trn_shipping_intl;2050;0.99
SSP2_demRedLow;EWN;trn_shipping_intl;2050;0.99
SSP2_demRedLow;FRA;trn_shipping_intl;2050;0.99
SSP2_demRedLow;IND;trn_shipping_intl;2050;0.99
SSP2_demRedLow;JPN;trn_shipping_intl;2050;0.99
SSP2_demRedLow;LAM;trn_shipping_intl;2050;0.99
SSP2_demRedLow;MEA;trn_shipping_intl;2050;0.99
SSP2_demRedLow;NEN;trn_shipping_intl;2050;0.99
SSP2_demRedLow;NES;trn_shipping_intl;2050;0.99
SSP2_demRedLow;OAS;trn_shipping_intl;2050;0.99
SSP2_demRedLow;REF;trn_shipping_intl;2050;0.99
SSP2_demRedLow;SSA;trn_shipping_intl;2050;0.99
SSP2_demRedLow;UKI;trn_shipping_intl;2050;0.99
SSP2_demRedLow;USA;trn_shipping_intl;2050;0.99
SSP2_demRedLow;CAZ;trn_freight;2050;0.92
SSP2_demRedLow;CHA;trn_freight;2050;0.92
SSP2_demRedLow;DEU;trn_freight;2050;0.92
SSP2_demRedLow;ECE;trn_freight;2050;0.92
SSP2_demRedLow;ECS;trn_freight;2050;0.92
SSP2_demRedLow;ENC;trn_freight;2050;0.92
SSP2_demRedLow;ESC;trn_freight;2050;0.92
SSP2_demRedLow;ESW;trn_freight;2050;0.92
SSP2_demRedLow;EWN;trn_freight;2050;0.92
SSP2_demRedLow;FRA;trn_freight;2050;0.92
SSP2_demRedLow;IND;trn_freight;2050;0.92
SSP2_demRedLow;JPN;trn_freight;2050;0.92
SSP2_demRedLow;LAM;trn_freight;2050;0.92
SSP2_demRedLow;MEA;trn_freight;2050;0.92
SSP2_demRedLow;NEN;trn_freight;2050;0.92
SSP2_demRedLow;NES;trn_freight;2050;0.92
SSP2_demRedLow;OAS;trn_freight;2050;0.92
SSP2_demRedLow;REF;trn_freight;2050;0.92
SSP2_demRedLow;SSA;trn_freight;2050;0.92
SSP2_demRedLow;UKI;trn_freight;2050;0.92
SSP2_demRedLow;USA;trn_freight;2050;0.92
SSP2_demRedLow;CAZ;trn_pass;2050;0.98
SSP2_demRedLow;CHA;trn_pass;2050;0.98
SSP2_demRedLow;DEU;trn_pass;2050;0.98
SSP2_demRedLow;ECE;trn_pass;2050;0.98
SSP2_demRedLow;ECS;trn_pass;2050;0.98
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SSP2_demRedLow;FRA;trn_pass;2050;0.98
SSP2_demRedLow;IND;trn_pass;2050;0.98
SSP2_demRedLow;JPN;trn_pass;2050;0.98
SSP2_demRedLow;LAM;trn_pass;2050;0.98
SSP2_demRedLow;MEA;trn_pass;2050;0.98
SSP2_demRedLow;NEN;trn_pass;2050;0.98
SSP2_demRedLow;NES;trn_pass;2050;0.98
SSP2_demRedLow;OAS;trn_pass;2050;0.98
SSP2_demRedLow;REF;trn_pass;2050;0.98
SSP2_demRedLow;SSA;trn_pass;2050;0.98
SSP2_demRedLow;UKI;trn_pass;2050;0.98
SSP2_demRedLow;USA;trn_pass;2050;0.98
SSP2_demDiffer;CAZ;trn_aviation_intl;2040;0.7
SSP2_demDiffer;CHA;trn_aviation_intl;2040;1
SSP2_demDiffer;DEU;trn_aviation_intl;2040;0.7
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