From fb1823abac193abf8cb6f65d40636da836dc95fd Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 1 Jun 2021 20:44:03 -0400 Subject: [PATCH 01/31] Change it so the classpath loader's prefered BaseX version allows for any 9.5 patch level release to be acceptable. --- cvs/objects/java/source/Makefile | 2 +- cvs/objects/java/source/WildcardExpandingClassLoader.java | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/cvs/objects/java/source/Makefile b/cvs/objects/java/source/Makefile index f15135bb1b..99cf6edff3 100644 --- a/cvs/objects/java/source/Makefile +++ b/cvs/objects/java/source/Makefile @@ -1,6 +1,6 @@ # Java compiler options to target specific JVM versions to allow # backwards compatibility. -JAVA_TARGET = -target 1.7 -source 1.7 +JAVA_TARGET = -target 1.8 -source 1.8 install: XMLDBDriver.jar cp XMLDBDriver.jar ../../../../exe diff --git a/cvs/objects/java/source/WildcardExpandingClassLoader.java b/cvs/objects/java/source/WildcardExpandingClassLoader.java index 58d24bcf7a..1c0a3a720e 100644 --- a/cvs/objects/java/source/WildcardExpandingClassLoader.java +++ b/cvs/objects/java/source/WildcardExpandingClassLoader.java @@ -62,7 +62,7 @@ public class WildcardExpandingClassLoader extends URLClassLoader { * A pattern that looks for a "prefered" BaseX version if we find * duplicate versions of the library. */ - final static String PREFERED_BASEX_VER = "^.*[Bb][Aa][Ss][Ee][Xx]-9.5.0.*$"; + final static String PREFERED_BASEX_VER = "^.*[Bb][Aa][Ss][Ee][Xx]-9.5.[0-9].*$"; /** * Constructor which will expand any wildcard jar specifications then call From 5e0bb69883f99392fa089789bc70d24cda8790b9 Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 1 Jun 2021 20:47:21 -0400 Subject: [PATCH 02/31] Use std::isnan / finite instead of boost::math which was loaded out of tr1 and since it has long been in the standard the latest version of boost has dropped it. --- cvs/objects/reporting/source/xml_db_outputter.cpp | 8 ++++---- cvs/objects/sectors/source/subsector.cpp | 4 ++-- cvs/objects/util/base/include/util.h | 3 +-- .../util/base/source/calibrate_share_weight_visitor.cpp | 4 ++-- cvs/objects/util/curves/include/cost_curve.h | 3 +-- 5 files changed, 10 insertions(+), 12 deletions(-) diff --git a/cvs/objects/reporting/source/xml_db_outputter.cpp b/cvs/objects/reporting/source/xml_db_outputter.cpp index e65b809e4a..4a4ee417c8 100644 --- a/cvs/objects/reporting/source/xml_db_outputter.cpp +++ b/cvs/objects/reporting/source/xml_db_outputter.cpp @@ -123,7 +123,7 @@ #include #include -#include +#include #include "reporting/include/xml_db_outputter.h" @@ -666,7 +666,7 @@ void XMLDBOutputter::startVisitSector( const Sector* aSector, const int aPeriod const Modeltime* modeltime = scenario->getModeltime(); for( int i = 0; i < modeltime->getmaxper(); ++i ){ double currCost = aSector->getPrice( mGDP, i ); - if( !boost::math::isnan( currCost ) ) { + if( !std::isnan( currCost ) ) { writeItem( "cost", mCurrentPriceUnit, currCost, i ); } } @@ -713,7 +713,7 @@ void XMLDBOutputter::startVisitSubsector( const Subsector* aSubsector, } for( int i = 0; i < modeltime->getmaxper(); ++i ){ double currValue = aSubsector->getPrice( mGDP, i ); - if( !objects::isEqual( currValue, 0.0 ) && !boost::math::isnan( currValue ) ) { + if( !objects::isEqual( currValue, 0.0 ) && !std::isnan( currValue ) ) { writeItem( "cost", mCurrentPriceUnit, currValue, i ); } } @@ -832,7 +832,7 @@ void XMLDBOutputter::startVisitTechnology( const Technology* aTechnology, const // "year" attribute in addition to the technology "year" attribute. if( mCurrentTechnology->mProductionState[ curr ] && mCurrentTechnology->mProductionState[ curr ]->isNewInvestment() ){ double currValue = aTechnology->getCost( curr ); - if( !objects::isEqual( currValue, 0.0 ) && !boost::math::isnan( currValue ) ) { + if( !objects::isEqual( currValue, 0.0 ) && !std::isnan( currValue ) ) { writeItemToBuffer( aTechnology->getCost( curr ), "cost", *childBuffer, mTabs.get(), curr, mCurrentPriceUnit ); } diff --git a/cvs/objects/sectors/source/subsector.cpp b/cvs/objects/sectors/source/subsector.cpp index 3f86585f2f..1f994d01ac 100644 --- a/cvs/objects/sectors/source/subsector.cpp +++ b/cvs/objects/sectors/source/subsector.cpp @@ -46,7 +46,7 @@ #include #include #include -#include +#include #include "util/base/include/configuration.h" #include "sectors/include/subsector.h" @@ -472,7 +472,7 @@ void Subsector::calcCost( const int aPeriod ){ double Subsector::calcShare( const IDiscreteChoice* aChoiceFn, const GDP* aGDP, const int aPeriod ) const { double subsectorPrice = getPrice( aGDP, aPeriod ); - if( boost::math::isnan( subsectorPrice ) ) { + if( std::isnan( subsectorPrice ) ) { // Check for a NaN sentinel value. If we find it, set the // subsector's share to zero. return -numeric_limits::infinity(); diff --git a/cvs/objects/util/base/include/util.h b/cvs/objects/util/base/include/util.h index 0718771392..023c0ac977 100644 --- a/cvs/objects/util/base/include/util.h +++ b/cvs/objects/util/base/include/util.h @@ -59,7 +59,6 @@ #include #include #include -#include #include #include #include @@ -366,7 +365,7 @@ namespace objects { // should take corrective action, or abort if none is // possible. const double doubleValue( aNumber ); - return boost::math::isfinite( doubleValue ); + return std::isfinite( doubleValue ); } /*! diff --git a/cvs/objects/util/base/source/calibrate_share_weight_visitor.cpp b/cvs/objects/util/base/source/calibrate_share_weight_visitor.cpp index 8d3bd11378..5f08ca43c9 100644 --- a/cvs/objects/util/base/source/calibrate_share_weight_visitor.cpp +++ b/cvs/objects/util/base/source/calibrate_share_weight_visitor.cpp @@ -40,7 +40,7 @@ #include "util/base/include/definitions.h" #include -#include +#include #include "util/base/include/calibrate_share_weight_visitor.h" #include "technologies/include/technology_container.h" @@ -145,7 +145,7 @@ void CalibrateShareWeightVisitor::calibrateShareWeights( const ContainerType* aC double baseCost = 0; for( int childIndex = 0; childIndex < childrenVec.size(); ++childIndex ) { double currCost = getCost( childrenVec[ childIndex ], aPeriod ); - if( !boost::math::isnan( currCost ) && currCost > baseCost && + if( !std::isnan( currCost ) && currCost > baseCost && ( ( hasCalValues && getCalValue( childrenVec[ childIndex ], aPeriod ) > 0 ) || !hasCalValues ) ) { baseCost = currCost; diff --git a/cvs/objects/util/curves/include/cost_curve.h b/cvs/objects/util/curves/include/cost_curve.h index 9fca0f269d..0489a982ec 100644 --- a/cvs/objects/util/curves/include/cost_curve.h +++ b/cvs/objects/util/curves/include/cost_curve.h @@ -51,7 +51,6 @@ // include files *********************************************************** #include -#include // namespaces ************************************************************** @@ -191,7 +190,7 @@ inline typename TCostCurve::value_type TCostCurve::calculate( } value_type temp = std::pow( aPrice, mCurveExponent ); - if( !boost::math::isfinite( temp ) ) { + if( !std::isfinite( temp ) ) { // happens sometimes for large price temp = std::numeric_limits::max(); } From 6ab1e6639672f34647a288e17f805588c15ba5fb Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 1 Jun 2021 20:49:08 -0400 Subject: [PATCH 03/31] Remove L221.StubTechProd_oil_unconv / crude which were not actally used and just filled with NAs --- input/gcamdata/R/zchunk_L221.en_supply.R | 49 +----------------------- 1 file changed, 2 insertions(+), 47 deletions(-) diff --git a/input/gcamdata/R/zchunk_L221.en_supply.R b/input/gcamdata/R/zchunk_L221.en_supply.R index 6f97622347..0582efbe2b 100644 --- a/input/gcamdata/R/zchunk_L221.en_supply.R +++ b/input/gcamdata/R/zchunk_L221.en_supply.R @@ -8,7 +8,7 @@ #' @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{L221.SectorLogitTables[[ curr_table ]]$data}, \code{L221.Supplysector_en}, \code{L221.SectorUseTrialMarket_en}, \code{L221.SubsectorLogitTables[[ curr_table ]]$data}, \code{L221.SubsectorLogit_en}, \code{L221.SubsectorShrwt_en}, \code{L221.SubsectorShrwtFllt_en}, \code{L221.SubsectorInterp_en}, \code{L221.SubsectorInterpTo_en}, \code{L221.StubTech_en}, \code{L221.GlobalTechCoef_en}, \code{L221.GlobalTechCost_en}, \code{L221.GlobalTechShrwt_en}, \code{L221.PrimaryConsKeyword_en}, \code{L221.StubTechFractSecOut_en}, \code{L221.StubTechFractProd_en}, \code{L221.StubTechFractCalPrice_en}, \code{L221.Rsrc_en}, \code{L221.RsrcPrice_en}, \code{L221.Production_unoil}, \code{L221.StubTechProd_oil_unoil}, \code{L221.StubTechProd_oil_crude}. The corresponding file in the +#' the generated outputs: \code{L221.SectorLogitTables[[ curr_table ]]$data}, \code{L221.Supplysector_en}, \code{L221.SectorUseTrialMarket_en}, \code{L221.SubsectorLogitTables[[ curr_table ]]$data}, \code{L221.SubsectorLogit_en}, \code{L221.SubsectorShrwt_en}, \code{L221.SubsectorShrwtFllt_en}, \code{L221.SubsectorInterp_en}, \code{L221.SubsectorInterpTo_en}, \code{L221.StubTech_en}, \code{L221.GlobalTechCoef_en}, \code{L221.GlobalTechCost_en}, \code{L221.GlobalTechShrwt_en}, \code{L221.PrimaryConsKeyword_en}, \code{L221.StubTechFractSecOut_en}, \code{L221.StubTechFractProd_en}, \code{L221.StubTechFractCalPrice_en}, \code{L221.Rsrc_en}, \code{L221.RsrcPrice_en}, \code{L221.Production_unoil}. The corresponding file in the #' original data system was \code{L221.en_supply.R} (energy level2). #' @details This chunk creates level 2 output files for energy supply. It creates supply sector information, #' subsector logit exponents, subsector shareweight and interpolation, and stubtech info by writing assumption file @@ -59,8 +59,6 @@ module_energy_L221.en_supply <- function(command, ...) { "L221.StubTechFractCalPrice_en", "L221.Rsrc_en", "L221.RsrcPrice_en", - "L221.StubTechProd_oil_unoil", - "L221.StubTechProd_oil_crude", "L221.StubTechCalInput_bioOil", "L221.StubTechInterp_bioOil", "L221.StubTechShrwt_bioOil")) @@ -367,35 +365,11 @@ module_energy_L221.en_supply <- function(command, ...) { left_join(A_regions %>% select(GCAM_region_ID, region), by = "GCAM_region_ID") -> L121.in_EJ_R_TPES_unoil_Yh - # Calibrated demand of unconventional oil - L221.StubTech_en %>% - filter(supplysector == "regional oil" & subsector == "unconventional oil") %>% - repeat_add_columns(tibble(year = MODEL_BASE_YEARS)) %>% - left_join(L121.in_EJ_R_TPES_unoil_Yh, by = c("region", "year")) %>% - mutate(calOutputValue = round(value, energy.DIGITS_CALOUTPUT), - calOutputValue = if_else(is.na(calOutputValue), 0, calOutputValue), - year.share.weight = year, - subsector.share.weight = if_else(calOutputValue > 0, 1, 0), - share.weight = if_else(calOutputValue > 0, 1, 0)) %>% - select(region, supplysector, subsector, stub.technology, year, calOutputValue, year.share.weight, subsector.share.weight, share.weight) -> L221.StubTechProd_oil_unoil - # Crude oil demand L121.in_EJ_R_TPES_crude_Yh %>% left_join(A_regions %>% select(GCAM_region_ID, region), by = "GCAM_region_ID") -> L121.in_EJ_R_TPES_crude_Yh - # Calibrated demand of crude oil - L221.StubTech_en %>% - filter(supplysector == "regional oil" & subsector == "crude oil") %>% - repeat_add_columns(tibble(year = MODEL_BASE_YEARS)) %>% - left_join(L121.in_EJ_R_TPES_crude_Yh, by = c("region", "year")) %>% - mutate(calOutputValue = round(value, energy.DIGITS_CALOUTPUT), - calOutputValue = if_else(is.na(calOutputValue), 0, calOutputValue), - year.share.weight = year, - subsector.share.weight = if_else(calOutputValue > 0, 1, 0), - share.weight = if_else(calOutputValue > 0, 1, 0)) %>% - select(region, supplysector, subsector, stub.technology, year, calOutputValue, year.share.weight, subsector.share.weight, share.weight) -> L221.StubTechProd_oil_crude - # GPK 4/26/2019: Region-specific calibrated output of biomassOil technologies # Because multiple feedstocks for producing biomassOil are allowed, the quantities are calibrated L221.StubTechCalInput_bioOil <- L122.in_Mt_R_C_Yh %>% @@ -642,25 +616,6 @@ module_energy_L221.en_supply <- function(command, ...) { same_precursors_as(L221.StubTechFractCalPrice_en) -> L221.RsrcPrice_en - - - - L221.StubTechProd_oil_unoil %>% - add_title("Calibrated demand of unconventional oil") %>% - add_units("unitless") %>% - add_comments("Demand for unoil from L121.in_EJ_R_TPES_unoil_Yh used to determine calibrated output value and shareweights") %>% - add_legacy_name("L221.StubTechProd_oil_unoil") %>% - add_precursors("L121.in_EJ_R_TPES_unoil_Yh", "energy/A21.globaltech_shrwt", "common/GCAM_region_names", "energy/A_regions") -> - L221.StubTechProd_oil_unoil - - L221.StubTechProd_oil_crude %>% - add_title("Calibrated demand of crude oil") %>% - add_units("unitless") %>% - add_comments("Demand for crude from L121.in_EJ_R_TPES_unoil_Yh used to determine calibrated output value and shareweights") %>% - add_legacy_name("L221.StubTechProd_oil_crude") %>% - add_precursors("L121.in_EJ_R_TPES_crude_Yh", "energy/A21.globaltech_shrwt", "common/GCAM_region_names", "energy/A_regions") -> - L221.StubTechProd_oil_crude - L221.StubTechCalInput_bioOil %>% add_title("Calibrated output of biomassOil by feedstock type") %>% add_units("Mt/yr") %>% @@ -688,7 +643,7 @@ module_energy_L221.en_supply <- function(command, ...) { L221.GlobalTechCost_en, L221.GlobalTechShrwt_en, L221.PrimaryConsKeyword_en, L221.StubTechFractSecOut_en, L221.StubTechFractProd_en, L221.StubTechFractCalPrice_en, L221.Rsrc_en, L221.RsrcPrice_en, - L221.StubTechProd_oil_unoil, L221.StubTechProd_oil_crude, L221.StubTechCalInput_bioOil, + L221.StubTechCalInput_bioOil, L221.StubTechInterp_bioOil, L221.StubTechShrwt_bioOil) } else { stop("Unknown command") From 38fdb466458e28b6848dd255afc8adf850ac8749 Mon Sep 17 00:00:00 2001 From: enlochner Date: Fri, 4 Jun 2021 10:37:26 -0500 Subject: [PATCH 04/31] Remove links to chunk_inputs, chunk_outputs, and dstrace --- input/gcamdata/R/data.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/input/gcamdata/R/data.R b/input/gcamdata/R/data.R index 6a1b0d9805..55866fc098 100644 --- a/input/gcamdata/R/data.R +++ b/input/gcamdata/R/data.R @@ -11,10 +11,10 @@ #' #' There are two levels of information available from the GCAM data system: #' chunk dependencies, which are available for "free", i.e. with a fast query to -#' each chunk on the part of \link{\code{chunk_inputs}} and \link{\code{chunk_outputs}}, +#' each chunk on the part of \code{chunk_inputs} and \code{chunk_outputs}, #' and detailed information on data object-level dependencies. This function is #' used to generate this latter data, i.e. a tibble of chunk-output-precursor information, -#' which is used by \link{\code{dstrace}} and various other graphing and diagnostic utilities. +#' which is used by \code{dstrace} and various other graphing and diagnostic utilities. #' @author BBL #' @format A tibble with columns: name (chunk that produces the data), output (name of the data object), #' precursors (colon seperated list of precursors), title, units, comments, flags (typically metadata for processing) From ab67615d79fbc73889848c273d8008c21b89f666 Mon Sep 17 00:00:00 2001 From: enlochner Date: Fri, 4 Jun 2021 10:40:51 -0500 Subject: [PATCH 05/31] Avoid dividing by 0 --- input/gcamdata/R/zchunk_L202.an_input.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/input/gcamdata/R/zchunk_L202.an_input.R b/input/gcamdata/R/zchunk_L202.an_input.R index 0c374a88e3..f4d58f4688 100644 --- a/input/gcamdata/R/zchunk_L202.an_input.R +++ b/input/gcamdata/R/zchunk_L202.an_input.R @@ -359,7 +359,7 @@ module_aglu_L202.an_input <- function(command, ...) { L202.ag_ImpShare_Mt_R_C_Y <- filter(L109.ag_ALL_Mt_R_C_Y, year == max(MODEL_BASE_YEARS)) %>% select(GCAM_region_ID, GCAM_commodity, year, Supply_Mt) %>% left_join(L1091.GrossTrade_Mt_R_C_Y, by = c("GCAM_region_ID", "GCAM_commodity", "year")) %>% - mutate(ImpShare = if_else(is.na(GrossImp_Mt), 0, GrossImp_Mt / Supply_Mt)) %>% + mutate(ImpShare = if_else(is.na(GrossImp_Mt) | Supply_Mt == 0, 0, GrossImp_Mt / Supply_Mt)) %>% select(GCAM_region_ID, GCAM_commodity, ImpShare) # Calculate the weighted average regional crop prices, as the global traded crop price times the From bb70096f6f3036fdbd1e3c96afc69526ec58ab4d Mon Sep 17 00:00:00 2001 From: enlochner Date: Fri, 4 Jun 2021 10:53:05 -0500 Subject: [PATCH 06/31] Remove %notin% function because of testing errors --- input/gcamdata/NAMESPACE | 1 - input/gcamdata/R/pipeline-helpers.R | 8 -------- input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R | 8 ++++---- 3 files changed, 4 insertions(+), 13 deletions(-) diff --git a/input/gcamdata/NAMESPACE b/input/gcamdata/NAMESPACE index 5b1cd602c8..7f2e1f4227 100644 --- a/input/gcamdata/NAMESPACE +++ b/input/gcamdata/NAMESPACE @@ -1,6 +1,5 @@ # Generated by roxygen2: do not edit by hand -export("%notin%") export(add_logit_tables_xml) export(add_logit_tables_xml_generate_levels) export(add_node_equiv_xml) diff --git a/input/gcamdata/R/pipeline-helpers.R b/input/gcamdata/R/pipeline-helpers.R index 57ab4df0b8..3d4c80b71a 100644 --- a/input/gcamdata/R/pipeline-helpers.R +++ b/input/gcamdata/R/pipeline-helpers.R @@ -361,11 +361,3 @@ gather_years <- function(d, value_col = "value", year_pattern = YEAR_PATTERN, na mutate(year = as.integer(year)) %>% stats::setNames(sub("value", value_col, names(.))) } - - - -#kbn adding notin for later calculations -#' Helper function: select elements not in user defined criteria -#' @usage a %notin% b -#' @export -`%notin%` <- Negate(`%in%`) diff --git a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R index 3263c19eaa..934c760fb2 100644 --- a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R +++ b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R @@ -208,11 +208,11 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { #Use only historical years filter(year <= max(HISTORICAL_YEARS)) %>% filter(UCD_category=="trn_road and rail") %>% - filter(mode %notin% c("Rail","HSR")) %>% + filter(!mode %in% c("Rail","HSR")) %>% select(-UCD_fuel,-fuel,-size.class) %>% rename(fuel=UCD_technology) %>% #NG is treated separately. - filter(fuel %notin% c(emissions.ZERO_EM_TECH,"NG")) %>% + filter(!fuel %in% c(emissions.ZERO_EM_TECH,"NG")) %>% mutate(fuel =if_else(fuel=="Hybrid Liquids","Liquids",fuel))->Clean_IEA_ctry_data #Calculate GAINS sector weights which we can use on CEDS data to distribute emissions into Passenger and Freight. @@ -298,7 +298,7 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { #Use only historical years filter(year <= max(HISTORICAL_YEARS)) %>% filter(UCD_category=="trn_road and rail") %>% - filter(mode %notin% c("Rail","HSR")) %>% + filter(!mode %in% c("Rail","HSR")) %>% select(-UCD_fuel,-fuel) %>% rename(fuel=UCD_technology) %>% filter(fuel %in% c("NG"))->Clean_IEA_ctry_data_NG @@ -381,7 +381,7 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { # Append CEDS sector/fuel combinations to GCAM energy L112.in_EJ_R_en_S_F_Yh_calib_all %>% #We will drop all electricity sectors here - filter(stub.technology %notin% c(emissions.ZERO_EM_TECH)) %>% + filter(!stub.technology %in% c(emissions.ZERO_EM_TECH)) %>% left_join_error_no_match(CEDS_sector_tech, by = c("supplysector", "subsector", "stub.technology")) ->L112.in_EJ_R_en_S_F_Yh_calib_all_baseenergy # Aggregate GCAM energy to CEDS sector/fuel combinations and compute the total energy by CEDS sector From 6a58c6e9272b409ef20ec007f318199f46a4a1b1 Mon Sep 17 00:00:00 2001 From: Matthew Binsted Date: Wed, 23 Jun 2021 23:20:00 -0400 Subject: [PATCH 07/31] gcamdata cleanup for package test / check compliance and .Rd file updates. One query issue corrected as well. --- input/gcamdata/R/constants.R | 10 +++--- input/gcamdata/R/data.R | 4 +-- input/gcamdata/R/utils.R | 2 +- input/gcamdata/R/xml.R | 4 +-- .../R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R | 32 ++++++++++--------- input/gcamdata/R/zchunk_L141.hfc_R_S_T_Y.R | 16 +++++----- input/gcamdata/R/zchunk_L142.pfc_R_S_T_Y.R | 16 +++++----- input/gcamdata/R/zchunk_L152.MACC.R | 10 +++--- input/gcamdata/R/zchunk_L210.resources.R | 10 +++--- input/gcamdata/R/zchunk_L239.ff_trade.R | 2 +- input/gcamdata/R/zchunk_L240.ag_trade.R | 7 ++-- input/gcamdata/R/zchunk_L251.en_ssp_nonco2.R | 3 +- input/gcamdata/R/zchunk_L252.MACC.R | 11 ++++--- input/gcamdata/R/zchunk_LA121.liquids.R | 4 +-- .../R/zchunk_LB120.LC_GIS_R_LTgis_Yh_GLU.R | 5 +-- .../R/zchunk_LB1321.regional_ag_prices.R | 8 +++-- .../inst/extdata/emissions/A41.tech_coeff.csv | 2 +- input/gcamdata/man/GCAM_DATA_MAP.Rd | 10 +++--- .../add_logit_tables_xml_generate_levels.Rd | 6 ++-- .../man/add_xml_data_generate_levels.Rd | 6 ++-- .../gcamdata/man/module_aglu_L240.ag_trade.Rd | 2 +- .../module_aglu_LB1321.regional_ag_prices.Rd | 2 +- .../man/module_energy_L221.en_supply.Rd | 2 +- .../man/module_energy_batch_ff_trade_xml.Rd | 21 ------------ .../module_water_L2233.electricity_water.Rd | 2 +- ...odule_water_batch_electricity_water_xml.Rd | 2 +- output/queries/Main_queries.xml | 4 +-- 27 files changed, 97 insertions(+), 106 deletions(-) delete mode 100644 input/gcamdata/man/module_energy_batch_ff_trade_xml.Rd diff --git a/input/gcamdata/R/constants.R b/input/gcamdata/R/constants.R index 1f419d9923..41039ccb82 100644 --- a/input/gcamdata/R/constants.R +++ b/input/gcamdata/R/constants.R @@ -588,9 +588,9 @@ water.RENEW.COST.GRADE3 <- 10 #Renewable water grade3 cost # Emissions constants ====================================================================== # scaling CH4 and N2O emissions to EPA 2019 mitigation report BAU emission trajectory -emissions.nonCO2.EPA.scaling <- FALSE -emissions.EPA.scaling.threshold <- 50 # EPA emissions/ CEDS emission, used to check scaling outliers in L112 chunk -emissions.EPA.scaling.threshold.combustion <- 20 # check scaling outliers in L112 chunk for combustion sector +emissions.NONCO2.EPA.SCALING <- FALSE +emissions.EPA.SCALING.THRESHOLD <- 50 # EPA emissions/ CEDS emission, used to check scaling outliers in L112 chunk +emissions.EPA.SCALING.THRESHOLD.COMBUSTION <- 20 # check scaling outliers in L112 chunk for combustion sector # Time emissions.CEDS_YEARS <- 1971:2019 # Year coverage for CEDS inventory. @@ -600,7 +600,7 @@ emissions.EDGAR_YEARS <- 1971:2008 emissions.EPA_HISTORICAL_YEARS <- 1971:2002 emissions.EPA_MACC_YEAR <- seq(2015, 2050, 5) # based on 2019 EPA nonCO2 report emissions.EPA_MACC_FUTURE_YEAR <- seq(2055, 2100, 5) # EPA report only covers till 2050 -emissions.EPA_TC_TimeStep <- 5 # currently calculate EPA MAC-based technological change based on every 5 years +emissions.EPA_TC_TIMESTEP <- 5 # currently calculate EPA MAC-based technological change based on every 5 years emissions.EPA_BAU_HIST_YEAR <- c(1990, 1995, 2000, 2005, 2010, 2015) # based on 2019 EPA nonCO2 report emissions.FINAL_EMISS_YEAR <- min(max(MODEL_BASE_YEARS), 2005) emissions.GAINS_BASE_YEAR <- 2005 @@ -628,7 +628,7 @@ emissions.COAL_SO2_THRESHOLD <- 0.1 # Tg/EJ (here referring to Tg SO2 per EJ o emissions.LOW_PCGDP <- 2.75 # thousand 1990 USD emissions.MAC_TAXES <- c(0, 2, 4, 6, 13, 27, 53, 100, 200, 450, 850, 2000, 3000, 5000) # Range of MAC curve costs to keep to read into GCAM; they are in EPA's units (2010USD_tCO2e) emissions.MAC_MARKET <- "CO2" # Default market that MAC curves will look for -emissions.MAC_highestReduction <- 0.95 # a high MAC reduction used to replace calculated values there are greater than 1 +emissions.MAC_HIGHESTREDUCTION <- 0.95 # a high MAC reduction used to replace calculated values there are greater than 1 emissions.AGR_SECTORS <- c("rice", "fertilizer", "soil") emissions.AGR_GASES <- c("CH4_AGR", "N2O_AGR", "NH3_AGR", "NOx_AGR") diff --git a/input/gcamdata/R/data.R b/input/gcamdata/R/data.R index 6a1b0d9805..675a36534a 100644 --- a/input/gcamdata/R/data.R +++ b/input/gcamdata/R/data.R @@ -11,10 +11,10 @@ #' #' There are two levels of information available from the GCAM data system: #' chunk dependencies, which are available for "free", i.e. with a fast query to -#' each chunk on the part of \link{\code{chunk_inputs}} and \link{\code{chunk_outputs}}, +#' each chunk on the part of \code{\link{chunk_inputs}} and \code{\link{chunk_outputs}}, #' and detailed information on data object-level dependencies. This function is #' used to generate this latter data, i.e. a tibble of chunk-output-precursor information, -#' which is used by \link{\code{dstrace}} and various other graphing and diagnostic utilities. +#' which is used by \code{\link{dstrace}} and various other graphing and diagnostic utilities. #' @author BBL #' @format A tibble with columns: name (chunk that produces the data), output (name of the data object), #' precursors (colon seperated list of precursors), title, units, comments, flags (typically metadata for processing) diff --git a/input/gcamdata/R/utils.R b/input/gcamdata/R/utils.R index 6070b7f918..477517229a 100644 --- a/input/gcamdata/R/utils.R +++ b/input/gcamdata/R/utils.R @@ -593,7 +593,7 @@ load_from_cache <- function(return_data_names, ...) { #' @importFrom magrittr "%>%" #' @importFrom dplyr pull mutate if_else select group_by bind_rows create_datamap_from_cache <- function(gcamdata_plan, ...) { - target <- command <- chunk <- data <- NULL # silence notes on package check. + target <- command <- chunk <- data <- name <- output <- NULL # silence notes on package check. # a helper function to use in an lapply to combine the steps: # 1) decay a tibble of targets to a character vector diff --git a/input/gcamdata/R/xml.R b/input/gcamdata/R/xml.R index 3cf547c726..789701f9fe 100644 --- a/input/gcamdata/R/xml.R +++ b/input/gcamdata/R/xml.R @@ -275,7 +275,7 @@ add_node_equiv_xml <- function(dot, equiv_class) { #' @param old_tag The XML tag which is being expanded to add more levels #' @param new_tag The XML tag which will serve as the additional levels #' @param num_levels The number of additional levels to generate -#' @param rename_file Whether to rename the final \code{old_tag} to +#' @param rename_final Whether to rename the final \code{old_tag} to #' \code{new_tag} in the original header #' @param column_name The base name of the column in \code{data} which will get #' expanded by appending \code{paste0(column_name, (seq_len(num_levels) - 1))} @@ -335,7 +335,7 @@ add_xml_data_generate_levels <- function(dot, data, header, old_tag, new_tag, nu #' @param old_tag The XML tag which is being expanded to add more levels #' @param new_tag The XML tag which will serve as the additional levels #' @param num_levels The number of additional levels to generate -#' @param rename_file Whether to rename the final \code{old_tag} to +#' @param rename_final Whether to rename the final \code{old_tag} to #' \code{new_tag} in the original header #' @param column_name The base name of the column in \code{data} which will get #' expanded by appending \code{paste0(column_name, (seq_len(num_levels) - 1))} diff --git a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R index 3263c19eaa..31c7a84fff 100644 --- a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R +++ b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R @@ -80,7 +80,8 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { #silence packages lifetime <- emscaler <- ej_vintage <- tg_vintage <- tg_i_total <- tg_i <- ej_i <- value_adj <- - tot_emissions <- EPA_sector <- final_year <- year_operate <- timestep <- avg.prod.lifetime <- resource <- gas <- country <- fuel <- CEDS_sector <- em <- iso <- unit <- year <- emissions <- sector <- Non.CO2 <- GCAM_region_ID <- CEDS_agg_sector <- + tot_emissions <- EPA_sector <- final_year <- year_operate <- timestep <- avg.prod.lifetime <- resource <- gas <- country <- fuel <- CEDS_sector <- + em <- iso <- unit <- year <- emissions <- sector <- Non.CO2 <- GCAM_region_ID <- CEDS_agg_sector <- CEDS_agg_fuel <- GCAM_region <- rev.mode <- rev_size.class <- UCD_fuel <- size.class <- UCD_technology <- UCD_sector <- sector_weight <- dieseloil <- lightoil <- mode_weight <- sum_sector_weight <- sum_mode_weight <- secondary.output <- technology <- energy <- supplysector <- subsector <- stub.technology <- sector <- service <- tranSubsector <- tranTechnology <- totalenergy <- enshare <- GCAMemissions <- D_driver <- @@ -88,7 +89,8 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { total_emiss <- AWB_emiss_share <- total_excess_bio <- burnable <- WaterContent <- HarvestIndex <- Root_Shoot <- ResEnergy_GJt <- ErosCtrl_tHa <- emiss_share <- prod_share <- total_prod <- crop_area_share <- prod_share_GLU <- GLU <- Prod_R_C <- crop_area_total <- scalar <- EPA_emissions <- CEDS_emissions <- epa_emissions <- ch4_em_factor <- production <- feed <- GCAM_commodity <- input.emissions <- EPA_agg_fuel_ghg <- EPA_agg_sector <- - EDGAR_agg_sector <- globalemfact <- emfact <- value <- em_fact <- . <- FF_driver <- natural_gas <- UCD_category <- Non.co2 <- NULL + EDGAR_agg_sector <- globalemfact <- emfact <- value <- em_fact <- . <- FF_driver <- natural_gas <- UCD_category <- Non.co2 <- quantile <- + upper <- value_median <- NULL #Get CEDS_GFED data @@ -996,7 +998,7 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { # Part 8: SCALE TO EPA # ======================== - if(emissions.nonCO2.EPA.scaling){ + if(emissions.NONCO2.EPA.SCALING){ # EPA scaling process # Scale CH4 and N2O emissions to EPA 2019 mitigation report (BAU scenario) # Source: https://www.epa.gov/global-mitigation-non-co2-greenhouse-gases @@ -1160,11 +1162,11 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { # 3) Handling outliers, if any scaler is greater than a threshold, will replace its scaler as 1 # so just keep using CEDS emission - # for industry process emisison, choose scaler as emissions.EPA.scaling.threshold + # for industry process emisison, choose scaler as emissions.EPA.SCALING.THRESHOLD # mostly filter out Region 4 - industrial other, and some region 32 L131.nonco2_tg_R_prc_S_S_Yh_EPAscaler %>% - mutate(emscaler = if_else(emscaler >= emissions.EPA.scaling.threshold, 1, emscaler)) -> + mutate(emscaler = if_else(emscaler >= emissions.EPA.SCALING.THRESHOLD, 1, emscaler)) -> L131.nonco2_tg_R_prc_S_S_Yh_EPAscaler # 4) Do the actual scaling for industrial and urban processes emissions @@ -1196,8 +1198,8 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { L113.ghg_tg_R_an_C_Sys_Fd_Yh_change L113.ghg_tg_R_an_C_Sys_Fd_Yh_change %>% - mutate(Non.CO2 = substr(Non.CO2, 1, 3)) %>% - mutate(EPA_sector = "Agriculture") %>% + mutate(Non.CO2 = substr(Non.CO2, 1, 3), + EPA_sector = "Agriculture") %>% rename(emissions = value) %>% FUN_cal_EPA_scalers(EPA_DATA = L131.EPA_CH4N2O_livestocks) %>% mutate(Non.CO2 = paste0(Non.CO2, "_AGR")) -> @@ -1234,8 +1236,8 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { L121.nonco2_tg_R_awb_C_Y_GLU_change L121.nonco2_tg_R_awb_C_Y_GLU_change %>% - mutate(Non.CO2 = substr(Non.CO2, 1, 3)) %>% - mutate(EPA_sector = "Agriculture") %>% + mutate(Non.CO2 = substr(Non.CO2, 1, 3), + EPA_sector = "Agriculture") %>% rename(emissions = value) %>% FUN_cal_EPA_scalers(EPA_DATA = L121.EPA_CH4N2O_awb) %>% mutate(Non.CO2 = paste0(Non.CO2, "_AWB")) -> @@ -1243,11 +1245,11 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { # 3) Handling outliers, if any scaler is greater than a threshold, will replace its scaler as 1 # so just keep using CEDS emission - # for agriculture waste burning, choose scaler as emissions.EPA.scaling.threshold + # for agriculture waste burning, choose scaler as emissions.EPA.SCALING.THRESHOLD # just filter out Region 26 L121.nonco2_tg_R_awb_C_Y_GLU_EPAscaler %>% - mutate(emscaler = if_else(emscaler >= emissions.EPA.scaling.threshold, 1, emscaler)) -> + mutate(emscaler = if_else(emscaler >= emissions.EPA.SCALING.THRESHOLD, 1, emscaler)) -> L121.nonco2_tg_R_awb_C_Y_GLU_EPAscaler # 4) do the actual scaling for agriculture emissions @@ -1282,8 +1284,8 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { L122.ghg_tg_R_agr_C_Y_GLU_change L122.ghg_tg_R_agr_C_Y_GLU_change %>% - mutate(Non.CO2 = substr(Non.CO2, 1, 3)) %>% - mutate(EPA_sector = "Agriculture") %>% + mutate(Non.CO2 = substr(Non.CO2, 1, 3), + EPA_sector = "Agriculture") %>% rename(emissions = value) %>% FUN_cal_EPA_scalers(EPA_DATA = L131.EPA_CH4N2O_agr) %>% mutate(Non.CO2 = paste0(Non.CO2, "_AGR")) -> @@ -1320,12 +1322,12 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { # 3) Handling outliers, if any scaler is greater than a threshold, will replace its scaler as 1 # so just keep using CEDS emission - # for combustion, choose scaler as emissions.EPA.scaling.threshold.combustion + # for combustion, choose scaler as emissions.EPA.SCALING.THRESHOLD.COMBUSTION # becuase EPA only has the entire combustion sector as a whole catagory # mostly filter out Region 4, 5, 27 L112.ghg_tg_R_en_S_F_Yh_EPAscaler %>% - mutate(emscaler = if_else(emscaler >= emissions.EPA.scaling.threshold.combustion, 1, emscaler)) -> + mutate(emscaler = if_else(emscaler >= emissions.EPA.SCALING.THRESHOLD.COMBUSTION, 1, emscaler)) -> L112.ghg_tg_R_en_S_F_Yh_EPAscaler # 4) Do the actual scaling for combustion-related emissions diff --git a/input/gcamdata/R/zchunk_L141.hfc_R_S_T_Y.R b/input/gcamdata/R/zchunk_L141.hfc_R_S_T_Y.R index b8f2bc0e76..cf60f300cf 100644 --- a/input/gcamdata/R/zchunk_L141.hfc_R_S_T_Y.R +++ b/input/gcamdata/R/zchunk_L141.hfc_R_S_T_Y.R @@ -274,7 +274,7 @@ module_emissions_L141.hfc_R_S_T_Y <- function(command, ...) { inner_join(L141.EPA_hfc_R_S_T_Yh_scalar, by = c("GCAM_region_ID", "supplysector", "subsector", "stub.technology", "EPA_sector", "EDGAR_agg_sector", "MAC_type1", "year")) %>% mutate(adj_emissions = emissions * emscalar) -> - L141.EPA_EDGAR_HFCmatch_nocool + L141.EPA_EDGAR_HFCmatches_nocool # Fixing cooling sector mismatch by separating out resid and comm cooling rows, adding matching "cooling" sector name # and then performing scaling and rebinding to other rows. @@ -286,8 +286,8 @@ module_emissions_L141.hfc_R_S_T_Y <- function(command, ...) { "EPA_sector", "EDGAR_agg_sector", "MAC_type1", "year")) %>% select(-supply) %>% mutate(adj_emissions = emissions * emscalar) %>% - bind_rows(L141.EPA_EDGAR_HFCmatch_nocool) -> - L141.EPA_EDGAR_HFCmatch + bind_rows(L141.EPA_EDGAR_HFCmatches_nocool) -> + L141.EPA_EDGAR_HFCmatches # Fixing infinite values # ====================== @@ -320,21 +320,21 @@ module_emissions_L141.hfc_R_S_T_Y <- function(command, ...) { # Calculate replacement values for EPA sectors with multiple HFC gases with no corresponding EDGAR emissions by multiplying # default EPA emissions by global emissions share of gas by sector (resid and comm cooling are combined) - L141.EPA_EDGAR_HFCmatch %>% + L141.EPA_EDGAR_HFCmatches %>% left_join(L141.hfc_R_S_T_Yh_share, by = c("supplysector", "subsector", "stub.technology", "EPA_sector", "EDGAR_agg_sector","MAC_type1" ,"year", "Non.CO2")) %>% filter(is.infinite(emscalar)) %>% - mutate(adj_emissions = EPA_emissions * emiss_share) -> L141.EPA_EDGAR_HFCmatch_inf + mutate(adj_emissions = EPA_emissions * emiss_share) -> L141.EPA_EDGAR_HFCmatches_inf # Rebind replaced infinite values to the original df - L141.EPA_EDGAR_HFCmatch %>% + L141.EPA_EDGAR_HFCmatches %>% filter(!is.infinite(emscalar)) %>% - bind_rows(L141.EPA_EDGAR_HFCmatch_inf) -> L141.EPA_EDGAR_HFCmatch_adj + bind_rows(L141.EPA_EDGAR_HFCmatches_inf) -> L141.EPA_EDGAR_HFCmatches_adj # Clean up data to match data system format (year, unit, columns) # =============================================================== - L141.EPA_EDGAR_HFCmatch_adj %>% #remove columns used in calculation (once testing is completed, integrate with above pipeline) + L141.EPA_EDGAR_HFCmatches_adj %>% #remove columns used in calculation (once testing is completed, integrate with above pipeline) select(-EPA_emissions, -tot_emissions, -emscalar, -emissions, -emiss_share) %>% rename(value = adj_emissions) %>% # remove CO2 equivalence used for matching, returning units to gg diff --git a/input/gcamdata/R/zchunk_L142.pfc_R_S_T_Y.R b/input/gcamdata/R/zchunk_L142.pfc_R_S_T_Y.R index d857343a20..a1a812a4d1 100644 --- a/input/gcamdata/R/zchunk_L142.pfc_R_S_T_Y.R +++ b/input/gcamdata/R/zchunk_L142.pfc_R_S_T_Y.R @@ -323,7 +323,7 @@ module_emissions_L142.pfc_R_S_T_Y <- function(command, ...) { inner_join(L142.EPA_pfc_R_S_T_Yh_scalar, by = c("GCAM_region_ID", "supplysector", "subsector", "stub.technology", "gas" = "Non.CO2", "year")) %>% mutate(adj_emissions = emissions * emscalar) -> - L142.EPA_EDGAR_PFCmatch_nocool + L142.EPA_EDGAR_PFCmatches_nocool # Fixing cooling sector mismatch L142.pfc_R_S_T_Yh_gas2 %>% @@ -334,8 +334,8 @@ module_emissions_L142.pfc_R_S_T_Y <- function(command, ...) { "stub.technology", "gas" = "Non.CO2", "year")) %>% select(-supply) %>% mutate(adj_emissions = emissions * emscalar) %>% - bind_rows(L142.EPA_EDGAR_PFCmatch_nocool) -> - L142.EPA_EDGAR_PFCmatch + bind_rows(L142.EPA_EDGAR_PFCmatches_nocool) -> + L142.EPA_EDGAR_PFCmatches # FIXING INFINITE VALUES # We need to calculate replacement values for infinite values in which there is no 1-1 map from EPA_emissions to EDGAR emissions categories @@ -373,20 +373,20 @@ module_emissions_L142.pfc_R_S_T_Y <- function(command, ...) { L142.pfc_R_S_T_Yh_share # Calculate replacement values for EPA sectors with multiple PFC gases with no corresponding EDGAR emissions - L142.EPA_EDGAR_PFCmatch %>% + L142.EPA_EDGAR_PFCmatches %>% left_join(L142.pfc_R_S_T_Yh_share, by = c("supplysector", "subsector", "stub.technology", "Non.CO2", "gas", "year")) %>% filter(is.infinite(emscalar)) %>% mutate(adj_emissions = EPA_emissions * emiss_share) %>% - select(-emiss_share) -> L142.EPA_EDGAR_PFCmatch_inf + select(-emiss_share) -> L142.EPA_EDGAR_PFCmatches_inf # Rebind replaced infinite values to the original df - L142.EPA_EDGAR_PFCmatch %>% + L142.EPA_EDGAR_PFCmatches %>% filter(!is.infinite(emscalar)) %>% - bind_rows(L142.EPA_EDGAR_PFCmatch_inf) -> L142.EPA_EDGAR_PFCmatch_adj + bind_rows(L142.EPA_EDGAR_PFCmatches_inf) -> L142.EPA_EDGAR_PFCmatches_adj # END OF INFINITE VALUES FIX # Clean up data to include base years (annually, not just modeling years) - L142.EPA_EDGAR_PFCmatch_adj %>% #remove columns used in calculation (once testing is completed, integrate with above pipeline) + L142.EPA_EDGAR_PFCmatches_adj %>% #remove columns used in calculation (once testing is completed, integrate with above pipeline) select(-EPA_emissions, -tot_emissions, -EPA_emissions, -emscalar, -gas, -emissions) %>% rename(value = adj_emissions) %>% # remove CO2 equivalence used for matching, returning units to gg diff --git a/input/gcamdata/R/zchunk_L152.MACC.R b/input/gcamdata/R/zchunk_L152.MACC.R index 584412ee83..827b8b4e4f 100644 --- a/input/gcamdata/R/zchunk_L152.MACC.R +++ b/input/gcamdata/R/zchunk_L152.MACC.R @@ -31,7 +31,7 @@ module_emissions_L152.MACC <- function(command, ...) { Process <- EPA_region <- cost_2010USD_tCO2e <- reduction_MtCO2e <- Sector <- EPA_region_code <- cost_1990USD_tCe <- year <- baseline_MtCO2e <- - reduction_pct <- NULL # silence package check. + reduction_pct <- GCAM_region_ID_missing <- NULL # silence package check. all_data <- list(...)[[1]] @@ -118,14 +118,14 @@ module_emissions_L152.MACC <- function(command, ...) { # Match in the baseline emissions quantities to abatement tibble then calculate abatement percentages # Use left_join - there should be NAs (i.e., there are sectors where the baseline is zero) - then drop those NAs # (ie. MAC curves in regions where the sector/process does not exist - the baseline is zero) - # emissions.MAC_highestReduction is 0.95, defined in constant.R + # emissions.MAC_HIGHESTREDUCTION is 0.95, defined in constant.R L152.EPA_MACC_MtCO2e %>% left_join(L152.EPA_MACC_baselines_MtCO2e , by = c("Sector", "Process", "GCAM_region_ID", "year")) %>% - mutate(reduction_pct = cum_reduction_MtCO2e / baseline_MtCO2e) %>% - mutate(reduction_pct = ifelse(is.na(reduction_pct) | is.infinite(reduction_pct), 0, reduction_pct)) %>% - mutate(reduction_pct = ifelse(reduction_pct >=1, emissions.MAC_highestReduction, reduction_pct)) %>% + mutate(reduction_pct = cum_reduction_MtCO2e / baseline_MtCO2e, + reduction_pct = if_else(is.na(reduction_pct) | is.infinite(reduction_pct), 0, reduction_pct), + reduction_pct = if_else(reduction_pct >= 1, emissions.MAC_HIGHESTREDUCTION, reduction_pct)) %>% ungroup() %>% select(Sector, Process, GCAM_region_ID, year, cost_1990USD_tCe, reduction_pct) -> L152.EPA_MACC_percent_MtCO2e diff --git a/input/gcamdata/R/zchunk_L210.resources.R b/input/gcamdata/R/zchunk_L210.resources.R index d0123c4832..c6b20729d8 100644 --- a/input/gcamdata/R/zchunk_L210.resources.R +++ b/input/gcamdata/R/zchunk_L210.resources.R @@ -597,10 +597,12 @@ module_energy_L210.resources <- function(command, ...) { A10.subrsrc_info %>% repeat_add_columns(GCAM_region_names) %>% repeat_add_columns(tibble(year = MODEL_YEARS)) %>% - left_join(L210.RsrcCalProd %>% mutate(prod_value = as.double(cal.production)),by=c("region","resource","subresource","year")) %>% - mutate(prod_value = if_else(is.na(prod_value),0,prod_value)) %>% - mutate(technology = subresource, - share.weight = if_else(year>MODEL_FINAL_BASE_YEAR | prod_value>0,1,0)) %>% + left_join(L210.RsrcCalProd %>% + mutate(prod_value = as.double(cal.production)), + by = c("region", "resource", "subresource", "year")) %>% + mutate(prod_value = if_else(is.na(prod_value), 0, prod_value), + technology = subresource, + share.weight = if_else(year > MODEL_FINAL_BASE_YEAR | prod_value > 0, 1, 0)) %>% filter(year %in% MODEL_YEARS) %>% select(LEVEL2_DATA_NAMES[["ResTechShrwt"]]) -> L210.ResTechShrwt diff --git a/input/gcamdata/R/zchunk_L239.ff_trade.R b/input/gcamdata/R/zchunk_L239.ff_trade.R index a38dfe56c2..5a75080c88 100644 --- a/input/gcamdata/R/zchunk_L239.ff_trade.R +++ b/input/gcamdata/R/zchunk_L239.ff_trade.R @@ -50,7 +50,7 @@ module_energy_L239.ff_trade <- function(command, ...) { 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 <- NULL # silence package check notes + 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) diff --git a/input/gcamdata/R/zchunk_L240.ag_trade.R b/input/gcamdata/R/zchunk_L240.ag_trade.R index adf8d6482e..d2c33b5648 100644 --- a/input/gcamdata/R/zchunk_L240.ag_trade.R +++ b/input/gcamdata/R/zchunk_L240.ag_trade.R @@ -54,7 +54,8 @@ module_aglu_L240.ag_trade <- function(command, ...) { year <- region <- supplysector <- subsector <- GCAM_commodity <- GrossExp_Mt <- calOutputValue <- subs.share.weight <- market.name <- minicam.energy.input <- - GrossImp_Mt <- Prod_Mt <- GCAM_region_ID <- NetExp_Mt <- NULL # silence package check notes + GrossImp_Mt <- Prod_Mt <- GCAM_region_ID <- NetExp_Mt <- Prod_bm3 <- NetExp_bm3 <- + value <- flow <- GrossExp <- NULL # silence package check notes # Load required inputs @@ -101,8 +102,8 @@ module_aglu_L240.ag_trade <- function(command, ...) { by = c("GCAM_region_ID", "GCAM_commodity", "year")) %>% replace_na(list(GrossExp = 0)) %>% filter(GCAM_commodity %in% aglu.TRADED_FORESTS) %>% - mutate(GrossImp_Mt = ifelse(GrossExp - NetExp_bm3 > 0, GrossExp - NetExp_bm3, 0), - GrossExp_Mt = ifelse(GrossExp - NetExp_bm3 > 0, GrossExp, NetExp_bm3)) %>% + mutate(GrossImp_Mt = if_else(GrossExp - NetExp_bm3 > 0, GrossExp - NetExp_bm3, 0), + GrossExp_Mt = if_else(GrossExp - NetExp_bm3 > 0, GrossExp, NetExp_bm3)) %>% select(names(L1091.GrossTrade_Mt_R_C_Y)) ) # 1. TRADED SECTOR / SUBSECTOR / TECHNOLOGY") diff --git a/input/gcamdata/R/zchunk_L251.en_ssp_nonco2.R b/input/gcamdata/R/zchunk_L251.en_ssp_nonco2.R index 7a6c9d2929..94e63fa370 100644 --- a/input/gcamdata/R/zchunk_L251.en_ssp_nonco2.R +++ b/input/gcamdata/R/zchunk_L251.en_ssp_nonco2.R @@ -49,7 +49,8 @@ module_emissions_L251.en_ssp_nonco2 <- function(command, ...) { year <- value <- GCAM_region_ID <- Non.CO2 <- supplysector <- subsector <- stub.technology <- agg_sector <- MAC_region <- bio_N2O_coef <- SO2_name <- GAINS_region <- emiss.coeff <- technology <- minicam.energy.input <- - tranSubsector <- tranTechnology <- input.name <- efficiency <- NULL # silence package check. + tranSubsector <- tranTechnology <- input.name <- efficiency <- + future.emiss.coeff.year <- NULL # silence package check. all_data <- list(...)[[1]] diff --git a/input/gcamdata/R/zchunk_L252.MACC.R b/input/gcamdata/R/zchunk_L252.MACC.R index 78c132a259..85d1223e60 100644 --- a/input/gcamdata/R/zchunk_L252.MACC.R +++ b/input/gcamdata/R/zchunk_L252.MACC.R @@ -74,7 +74,8 @@ module_emissions_L252.MACC <- function(command, ...) { MAC_region <- Non.CO2 <- PCT_ABATE <- Process <- Species <- Year <- bio_N2O_coef <- resource <- emiss.coef <- input.emissions <- mac.control <- mac.reduction <- region <- scenario <- sector <- stub.technology <- subsector <- supplysector <- tax <- tech_change <- - market.name <- year <- Irr_Rfd <- mgmt <- tech.change.year <- tech.change <- Non.CO2.join <- multiplier <- NULL + market.name <- year <- Irr_Rfd <- mgmt <- tech.change.year <- tech.change <- Non.CO2.join <- + multiplier <- omit <- NULL all_data <- list(...)[[1]] @@ -286,7 +287,7 @@ module_emissions_L252.MACC <- function(command, ...) { select(-omit) %>% # first tech.change year is the next modeling period of the MAC defined years # here add 5 years so they can be used to match with their corresponding "next period" - mutate(year = year + emissions.EPA_TC_TimeStep) + mutate(year = year + emissions.EPA_TC_TIMESTEP) # based on EPA's year's specific MACs (2020-2050 by every 5 year) to backward calculate technology.change # these are tech.change before 2050, based on actual EPA MAC data @@ -298,14 +299,14 @@ module_emissions_L252.MACC <- function(command, ...) { left_join(L252.MAC_base_TC, by = c("region", "supplysector", "subsector", "stub.technology", "Non.CO2", "year")) %>% na.omit() %>% - mutate(tech.change = (mac.reduction / mac.reduction.base)^(1/emissions.EPA_TC_TimeStep) - 1) %>% + mutate(tech.change = (mac.reduction / mac.reduction.base)^(1/emissions.EPA_TC_TIMESTEP) - 1) %>% # round to 4 digits otherwise it will be > 10 digits and long in xmls mutate(tech.change = round(tech.change, emissions.DIGITS_MACC_TC)) %>% replace_na(list(tech.change = 0)) %>% select(region, supplysector, subsector, stub.technology, year, Non.CO2, mac.control, tech.change) %>% mutate(key = paste(supplysector, subsector, Non.CO2, sep = "-")) %>% # replace negative tech.change into 0s - mutate(tech.change = ifelse(tech.change < 0, 0, tech.change)) + mutate(tech.change = if_else(tech.change < 0, 0, tech.change)) # since the current EPA MAC data (2019 version) only covers 2020 to 2050 @@ -320,7 +321,7 @@ module_emissions_L252.MACC <- function(command, ...) { # combine together # L252.MAC_summary_TC_average contains TC for all future periods greater than MAC base-year for each region/sector - L252.MAC_summary_TC_average <- rbind(L252.MAC_summary_TC_before2050, L252.MAC_summary_TC_post2050_average) + L252.MAC_summary_TC_average <- bind_rows(L252.MAC_summary_TC_before2050, L252.MAC_summary_TC_post2050_average) # Part 2: calculate the MAC curve for each region/sector, so the TCs above can be applied to diff --git a/input/gcamdata/R/zchunk_LA121.liquids.R b/input/gcamdata/R/zchunk_LA121.liquids.R index 48c118b599..472f6ce7f1 100644 --- a/input/gcamdata/R/zchunk_LA121.liquids.R +++ b/input/gcamdata/R/zchunk_LA121.liquids.R @@ -180,8 +180,8 @@ module_energy_LA121.liquids <- function(command, ...) { select(GCAM_region_ID, sector, fuel, year, value) %>% mutate(fuel = "crude oil") %>% left_join(rename(L121.in_EJ_R_TPES_unoil_Yh, value_unoil = value, unoil = fuel), by = c("GCAM_region_ID", "sector", "year")) %>% - mutate( value_unoil = if_else(is.na(value_unoil),0,value_unoil)) %>% - mutate(value = value - value_unoil) %>% + mutate(value_unoil = if_else(is.na(value_unoil), 0, value_unoil), + value = value - value_unoil) %>% select(GCAM_region_ID, sector, fuel, year, value) -> L121.in_EJ_R_TPES_crude_Yh L111.Prod_EJ_R_F_Yh %>% diff --git a/input/gcamdata/R/zchunk_LB120.LC_GIS_R_LTgis_Yh_GLU.R b/input/gcamdata/R/zchunk_LB120.LC_GIS_R_LTgis_Yh_GLU.R index 9bef23c364..4d16a50814 100644 --- a/input/gcamdata/R/zchunk_LB120.LC_GIS_R_LTgis_Yh_GLU.R +++ b/input/gcamdata/R/zchunk_LB120.LC_GIS_R_LTgis_Yh_GLU.R @@ -34,7 +34,8 @@ module_aglu_LB120.LC_GIS_R_LTgis_Yh_GLU <- function(command, ...) { } else if(command == driver.MAKE) { iso <- GCAM_region_ID <- Land_Type <- year <- GLU <- Area_bm2 <- LT_HYDE <- - land_code <- LT_SAGE <- NULL # silence package check. + land_code <- LT_SAGE <- value <- Forest <- MgdFor <- Grassland <- + Shrubland <- Pasture <- nonForScaler <- ForScaler <- NULL # silence package check. all_data <- list(...)[[1]] @@ -104,7 +105,7 @@ module_aglu_LB120.LC_GIS_R_LTgis_Yh_GLU <- function(command, ...) { L120.LC_bm2_R_LT_Yh_GLU # scale forest to avoid negative unmanaged forest area which caused issue for yield in Pakistan and African regions - # L123.LC_bm2_R_MgdFor_Yh_GLU_beforeadjust, pulled from L123.LC_bm2_R_MgdFor_Yh_GLU before managed forest scaling, was used here. + # L123.LC_bm2_R_MgdFor_Yh_GLU_beforeadjust, pulled from L123.LC_bm2_R_MgdFor_Yh_GLU before managed forest scaling, was used here. L120.LC_bm2_R_LT_Yh_GLU %>% left_join(L120.LC_bm2_R_LT_Yh_GLU %>% spread(Land_Type, value, fill = 0) %>% diff --git a/input/gcamdata/R/zchunk_LB1321.regional_ag_prices.R b/input/gcamdata/R/zchunk_LB1321.regional_ag_prices.R index e13a87be37..15e4baed3c 100644 --- a/input/gcamdata/R/zchunk_LB1321.regional_ag_prices.R +++ b/input/gcamdata/R/zchunk_LB1321.regional_ag_prices.R @@ -7,7 +7,7 @@ #' @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{L1321.prP_R_C_75USDkg}, \code{L1321.expP_R_F_75USDm3. +#' \code{command} is "MAKE") all the generated outputs: \code{L1321.prP_R_C_75USDkg}, \code{L1321.expP_R_F_75USDm3}. #' @details This chunk calculates average prices over calibration years by GCAM commodity and region. Averages across #' years are unweighted; averages over FAO item are weighted by production. #' @importFrom assertthat assert_that @@ -24,7 +24,7 @@ module_aglu_LB1321.regional_ag_prices <- function(command, ...) { FILE = "aglu/FAO/FAO_ag_Prod_t_PRODSTAT", FILE = "common/FAO_GDP_Deflators", FILE = "aglu/FAO/FAO_an_Prod_t_PRODSTAT", - FILE = "aglu/FAO/FAO_For_Exp_m3_USD_FORESTAT", + FILE = "aglu/FAO/FAO_For_Exp_m3_USD_FORESTAT", "L132.ag_an_For_Prices")) } else if(command == driver.DECLARE_OUTPUTS) { return(c("L1321.ag_prP_R_C_75USDkg", @@ -36,7 +36,9 @@ module_aglu_LB1321.regional_ag_prices <- function(command, ...) { countries <- currentUSD_per_baseyearUSD <- item <- pp_commod <- Cottonseed <- `Cotton lint` <- item.codes <- production <- prod_commod <- item.code <- GCAM_commodity <- GCAM_region_ID <- revenue <- avg_prP_C <- prP <- prPmult <- - production_wt_prPmult <- prPmult_R <- countries <- `item codes` <- calPrice <- NULL # silence package check. + production_wt_prPmult <- prPmult_R <- countries <- `item codes` <- calPrice <- + `element codes` <- element <- ExpV_kUSD <- Exp_m3 <- avg_expP_F <- + Price_USDm3 <- NULL # silence package check. all_data <- list(...)[[1]] diff --git a/input/gcamdata/inst/extdata/emissions/A41.tech_coeff.csv b/input/gcamdata/inst/extdata/emissions/A41.tech_coeff.csv index 90fe7bf427..6a7e180eb5 100644 --- a/input/gcamdata/inst/extdata/emissions/A41.tech_coeff.csv +++ b/input/gcamdata/inst/extdata/emissions/A41.tech_coeff.csv @@ -2,7 +2,7 @@ # Title: Emission coefficients for energy technology by sector # Units: NA # Source: NA -# Description: may.be.historic is an indicator variable that indicates if the “new” technology may be been used historically by some sector. +# Description: may.be.historic is an indicator variable that indicates if the "new" technology may be been used historically by some sector. # Column types: cccnnnnnnnncci # ---------- supplysector,subsector,stub.technology,SO2,NOx,CO,CH4,N2O,BC,OC,NMVOC,exception,exception_tech,may.be.historic diff --git a/input/gcamdata/man/GCAM_DATA_MAP.Rd b/input/gcamdata/man/GCAM_DATA_MAP.Rd index c8f868ec65..ee3c6f1524 100644 --- a/input/gcamdata/man/GCAM_DATA_MAP.Rd +++ b/input/gcamdata/man/GCAM_DATA_MAP.Rd @@ -4,18 +4,20 @@ \name{GCAM_DATA_MAP} \alias{GCAM_DATA_MAP} \title{GCAM_DATA_MAP} -\format{A tibble with columns: name (chunk that produces the data), output (name of the data object), -precursors (colon seperated list of precursors), title, units, comments, flags (typically metadata for processing)} +\format{ +A tibble with columns: name (chunk that produces the data), output (name of the data object), +precursors (colon seperated list of precursors), title, units, comments, flags (typically metadata for processing) +} \usage{ GCAM_DATA_MAP } \description{ There are two levels of information available from the GCAM data system: chunk dependencies, which are available for "free", i.e. with a fast query to -each chunk on the part of \link{\code{chunk_inputs}} and \link{\code{chunk_outputs}}, +each chunk on the part of \code{\link{chunk_inputs}} and \code{\link{chunk_outputs}}, and detailed information on data object-level dependencies. This function is used to generate this latter data, i.e. a tibble of chunk-output-precursor information, -which is used by \link{\code{dstrace}} and various other graphing and diagnostic utilities. +which is used by \code{\link{dstrace}} and various other graphing and diagnostic utilities. } \author{ BBL diff --git a/input/gcamdata/man/add_logit_tables_xml_generate_levels.Rd b/input/gcamdata/man/add_logit_tables_xml_generate_levels.Rd index 668a5c9b34..33282eed33 100644 --- a/input/gcamdata/man/add_logit_tables_xml_generate_levels.Rd +++ b/input/gcamdata/man/add_logit_tables_xml_generate_levels.Rd @@ -32,6 +32,9 @@ convert \code{data} besides the additional levels of nesting.} \item{num_levels}{The number of additional levels to generate} +\item{rename_final}{Whether to rename the final \code{old_tag} to +\code{new_tag} in the original header} + \item{column_name}{The base name of the column in \code{data} which will get expanded by appending \code{paste0(column_name, (seq_len(num_levels) - 1))}} @@ -45,9 +48,6 @@ given \code{NULL} no column reordering will be done.} tables such that \code{paste(base_logit_header, logit.type, sep = "_")} corresponds to the appropriate model interface header. Note by default this value is the same as \code{header} as often this is the case but certainly not always.} - -\item{rename_file}{Whether to rename the final \code{old_tag} to -\code{new_tag} in the original header} } \value{ A "data structure" to hold the various parts needed to run the model diff --git a/input/gcamdata/man/add_xml_data_generate_levels.Rd b/input/gcamdata/man/add_xml_data_generate_levels.Rd index 306fd76222..5609963310 100644 --- a/input/gcamdata/man/add_xml_data_generate_levels.Rd +++ b/input/gcamdata/man/add_xml_data_generate_levels.Rd @@ -30,6 +30,9 @@ convert \code{data} besides the additional levels of nesting.} \item{num_levels}{The number of additional levels to generate} +\item{rename_final}{Whether to rename the final \code{old_tag} to +\code{new_tag} in the original header} + \item{column_name}{The base name of the column in \code{data} which will get expanded by appending \code{paste0(column_name, (seq_len(num_levels) - 1))}} @@ -38,9 +41,6 @@ to reorder the columns of data before XML conversion to ensure they correspond with the ModelInterface header. Note by default the \code{header} is used then we append the additional columns generated by \code{column_name} + \code{num_levels}. If given \code{NULL} no column reordering will be done.} - -\item{rename_file}{Whether to rename the final \code{old_tag} to -\code{new_tag} in the original header} } \value{ A "data structure" to hold the various parts needed to run the model diff --git a/input/gcamdata/man/module_aglu_L240.ag_trade.Rd b/input/gcamdata/man/module_aglu_L240.ag_trade.Rd index 1458942acf..e261f717d0 100644 --- a/input/gcamdata/man/module_aglu_L240.ag_trade.Rd +++ b/input/gcamdata/man/module_aglu_L240.ag_trade.Rd @@ -27,5 +27,5 @@ Build datasets for ssp4 agricultural trade: food and nonfood trade coefficients, coefficients, restricted agricultural trade, and trade regions. } \author{ -GPK February 2019 +GPK February 2019 XZ March 2020 } diff --git a/input/gcamdata/man/module_aglu_LB1321.regional_ag_prices.Rd b/input/gcamdata/man/module_aglu_LB1321.regional_ag_prices.Rd index e8ace27233..c0c360764a 100644 --- a/input/gcamdata/man/module_aglu_LB1321.regional_ag_prices.Rd +++ b/input/gcamdata/man/module_aglu_LB1321.regional_ag_prices.Rd @@ -13,7 +13,7 @@ module_aglu_LB1321.regional_ag_prices(command, ...) } \value{ 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{L1321.prP_R_C_75USDkg}. + \code{command} is "MAKE") all the generated outputs: \code{L1321.prP_R_C_75USDkg}, \code{L1321.expP_R_F_75USDm3}. } \description{ Calculate the calibration prices for all GCAM AGLU commodities. diff --git a/input/gcamdata/man/module_energy_L221.en_supply.Rd b/input/gcamdata/man/module_energy_L221.en_supply.Rd index f4145ffb35..2ab26302ea 100644 --- a/input/gcamdata/man/module_energy_L221.en_supply.Rd +++ b/input/gcamdata/man/module_energy_L221.en_supply.Rd @@ -14,7 +14,7 @@ module_energy_L221.en_supply(command, ...) \value{ 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{L221.SectorLogitTables[[ curr_table ]]$data}, \code{L221.Supplysector_en}, \code{L221.SectorUseTrialMarket_en}, \code{L221.SubsectorLogitTables[[ curr_table ]]$data}, \code{L221.SubsectorLogit_en}, \code{L221.SubsectorShrwt_en}, \code{L221.SubsectorShrwtFllt_en}, \code{L221.SubsectorInterp_en}, \code{L221.SubsectorInterpTo_en}, \code{L221.StubTech_en}, \code{L221.GlobalTechCoef_en}, \code{L221.GlobalTechCost_en}, \code{L221.GlobalTechShrwt_en}, \code{L221.PrimaryConsKeyword_en}, \code{L221.StubTechFractSecOut_en}, \code{L221.StubTechFractProd_en}, \code{L221.StubTechFractCalPrice_en}, \code{L221.Rsrc_en}, \code{L221.RsrcPrice_en}, \code{L221.TechCoef_en_Traded}, \code{L221.TechCost_en_Traded}, \code{L221.TechShrwt_en_Traded}, \code{L221.StubTechCoef_unoil}, \code{L221.Production_unoil}, \code{L221.StubTechProd_oil_unoil}, \code{L221.StubTechProd_oil_crude}. The corresponding file in the +the generated outputs: \code{L221.SectorLogitTables[[ curr_table ]]$data}, \code{L221.Supplysector_en}, \code{L221.SectorUseTrialMarket_en}, \code{L221.SubsectorLogitTables[[ curr_table ]]$data}, \code{L221.SubsectorLogit_en}, \code{L221.SubsectorShrwt_en}, \code{L221.SubsectorShrwtFllt_en}, \code{L221.SubsectorInterp_en}, \code{L221.SubsectorInterpTo_en}, \code{L221.StubTech_en}, \code{L221.GlobalTechCoef_en}, \code{L221.GlobalTechCost_en}, \code{L221.GlobalTechShrwt_en}, \code{L221.PrimaryConsKeyword_en}, \code{L221.StubTechFractSecOut_en}, \code{L221.StubTechFractProd_en}, \code{L221.StubTechFractCalPrice_en}, \code{L221.Rsrc_en}, \code{L221.RsrcPrice_en}, \code{L221.Production_unoil}, \code{L221.StubTechProd_oil_unoil}, \code{L221.StubTechProd_oil_crude}. The corresponding file in the original data system was \code{L221.en_supply.R} (energy level2). } \description{ diff --git a/input/gcamdata/man/module_energy_batch_ff_trade_xml.Rd b/input/gcamdata/man/module_energy_batch_ff_trade_xml.Rd deleted file mode 100644 index 85a9310738..0000000000 --- a/input/gcamdata/man/module_energy_batch_ff_trade_xml.Rd +++ /dev/null @@ -1,21 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/zchunk_batch_ff_trade_xml.R -\name{module_energy_batch_ff_trade_xml} -\alias{module_energy_batch_ff_trade_xml} -\title{module_energy_batch_ff_trade_xml} -\usage{ -module_energy_batch_ff_trade_xml(command, ...) -} -\arguments{ -\item{command}{API command to execute} - -\item{...}{other optional parameters, depending on command} -} -\value{ -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{ff_trade.xml}. -} -\description{ -Construct XML data structure for \code{ff_trade.xml}. -} diff --git a/input/gcamdata/man/module_water_L2233.electricity_water.Rd b/input/gcamdata/man/module_water_L2233.electricity_water.Rd index 4761acc6fa..a6392fba86 100644 --- a/input/gcamdata/man/module_water_L2233.electricity_water.Rd +++ b/input/gcamdata/man/module_water_L2233.electricity_water.Rd @@ -24,7 +24,7 @@ the generated outputs: \code{L2233.StubTech_elecPassthru}, \code{L2233.StubTechP \code{L2233.Supplysector_elec_cool}, \code{L2233.ElecReserve_elec_cool}, \code{L2233.SubsectorShrwtFllt_elec_cool}, \code{L2233.SubsectorLogit_elec_cool}, \code{L2233.StubTech_elec_cool}, \code{L2233.StubTechEff_elec_cool}, -\code{L2233.StubTechProd_elec_cool}, \code{L2233.StubTechFixOut_hydro}, +\code{L2233.StubTechProd_elec_cool}, \code{L2233.StubTechCapFactor_elec_cool}, \code{L2233.StubTechFixOut_hydro}, \code{L2233.StubTechShrwt_elec_cool}, \code{L2233.GlobalTechCapital_elec_cool}, \code{L2233.GlobalIntTechCapital_elec_cool}, \code{L2233.GlobalTechCoef_elec_cool}, \code{L2233.GlobalIntTechCoef_elec_cool}, \code{L2233.InputEmissCoeff_hist_elecPassthru}, diff --git a/input/gcamdata/man/module_water_batch_electricity_water_xml.Rd b/input/gcamdata/man/module_water_batch_electricity_water_xml.Rd index 7937f8379e..2d8ad522be 100644 --- a/input/gcamdata/man/module_water_batch_electricity_water_xml.Rd +++ b/input/gcamdata/man/module_water_batch_electricity_water_xml.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/zchunk_batch_electricity_water_xml.R \name{module_water_batch_electricity_water_xml} \alias{module_water_batch_electricity_water_xml} -\title{module_water_batch_electricity_water.xml} +\title{module_water_batch_electricity_water_xml} \usage{ module_water_batch_electricity_water_xml(command, ...) } diff --git a/output/queries/Main_queries.xml b/output/queries/Main_queries.xml index 79fc33785a..37f8848c19 100644 --- a/output/queries/Main_queries.xml +++ b/output/queries/Main_queries.xml @@ -130,9 +130,9 @@ - + - + From f14fba3c15e97905f693ab042f7ef0fe8ed76b93 Mon Sep 17 00:00:00 2001 From: Kyle Date: Tue, 29 Jun 2021 14:00:20 -0400 Subject: [PATCH 08/31] remove unnecessary transportation data chunk (zchunk_data_UCD_transportation.R) and clean up data read-in and precursors in zchunk_LA154.transportation_UCD.R to avoid warning messages --- .../R/zchunk_LA154.transportation_UCD.R | 23 ++++---- .../R/zchunk_data_UCD_transportation.R | 54 ------------------- 2 files changed, 9 insertions(+), 68 deletions(-) delete mode 100644 input/gcamdata/R/zchunk_data_UCD_transportation.R diff --git a/input/gcamdata/R/zchunk_LA154.transportation_UCD.R b/input/gcamdata/R/zchunk_LA154.transportation_UCD.R index 8ec80fc24e..581567aa10 100644 --- a/input/gcamdata/R/zchunk_LA154.transportation_UCD.R +++ b/input/gcamdata/R/zchunk_LA154.transportation_UCD.R @@ -21,8 +21,6 @@ #' @author RH May 2017 module_energy_LA154.transportation_UCD <- function(command, ...) { - UCD_trn_data_name <- paste0("UCD_trn_data_", "CORE") - if(command == driver.DECLARE_INPUTS) { return(c(FILE = "common/iso_GCAM_regID", FILE = "energy/mappings/calibrated_techs_trn_agg", @@ -38,9 +36,6 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { FILE = "energy/UCD_trn_data_SSP5", # This file is currently using a constant to select the correct SSP database # All SSP databases will be included in the input files - UCD_trn_data_name,"UCD_trn_data_SSP1", - "UCD_trn_data_SSP2","UCD_trn_data_SSP3", - "UCD_trn_data_SSP5", "L101.in_EJ_ctry_trn_Fi_Yh", "L1011.in_EJ_ctry_intlship_TOT_Yh", "L131.in_EJ_R_Senduse_F_Yh", @@ -566,7 +561,7 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { "L1011.in_EJ_ctry_intlship_TOT_Yh", "L131.in_EJ_R_Senduse_F_Yh", "energy/mappings/calibrated_techs_trn_agg", "energy/mappings/enduse_fuel_aggregation", "energy/mappings/UCD_ctry", "energy/mappings/UCD_techs", - "UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5","UCD_trn_data_SSP2","UCD_trn_data_CORE", + "energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE","energy/UCD_trn_data_CORE_highEV", "energy/mappings/UCD_size_class_revisions") -> L154.in_EJ_R_trn_m_sz_tech_F_Yh @@ -581,7 +576,7 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { "L1011.in_EJ_ctry_intlship_TOT_Yh", "L131.in_EJ_R_Senduse_F_Yh", "energy/mappings/calibrated_techs_trn_agg", "energy/mappings/enduse_fuel_aggregation", "energy/mappings/UCD_ctry", "energy/mappings/UCD_techs", - "UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5","UCD_trn_data_SSP2","UCD_trn_data_CORE", + "energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE","energy/UCD_trn_data_CORE_highEV", "energy/mappings/UCD_size_class_revisions") ->L154.IEA_histfut_data_times_UCD_shares @@ -591,8 +586,8 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { add_comments("Aggregated country-level transportation energy data to UCD transportation technologies") %>% add_legacy_name("L154.in_EJ_ctry_trn_m_sz_tech_F") %>% add_precursors("common/iso_GCAM_regID", "L101.in_EJ_ctry_trn_Fi_Yh", - "UCD_trn_data_CORE","UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5", - "UCD_trn_data_SSP2","energy/mappings/UCD_size_class_revisions", + "energy/UCD_trn_data_CORE","energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE_highEV", + "energy/mappings/UCD_size_class_revisions", "energy/mappings/calibrated_techs_trn_agg", "energy/mappings/UCD_ctry", "energy/mappings/UCD_techs", "L1011.in_EJ_ctry_intlship_TOT_Yh") -> @@ -603,7 +598,7 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { add_units("MJ/vkm") %>% add_comments("UCD transportation database data aggregated to GCAM region") %>% add_legacy_name("L154.intensity_MJvkm_R_trn_m_sz_tech_F_Y") %>% - add_precursors("UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5","UCD_trn_data_SSP2","UCD_trn_data_CORE", + add_precursors("energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE","energy/UCD_trn_data_CORE_highEV", "energy/mappings/UCD_size_class_revisions", "energy/mappings/UCD_ctry", "common/iso_GCAM_regID", "energy/mappings/calibrated_techs_trn_agg", "energy/mappings/enduse_fuel_aggregation", "energy/mappings/UCD_techs", @@ -618,7 +613,7 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { add_units("pers/veh or tonnes/veh") %>% add_comments("UCD transportation database data aggregated to GCAM region") %>% add_legacy_name("L154.loadfactor_R_trn_m_sz_tech_F_Y") %>% - add_precursors("UCD_trn_data_CORE","UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5","UCD_trn_data_SSP2", + add_precursors("energy/UCD_trn_data_CORE","energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE_highEV", "energy/mappings/UCD_size_class_revisions", "energy/mappings/UCD_ctry", "common/iso_GCAM_regID", "energy/mappings/calibrated_techs_trn_agg", "energy/mappings/enduse_fuel_aggregation", "energy/mappings/UCD_techs", @@ -633,7 +628,7 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { add_units("2005USD/vkm") %>% add_comments("UCD transportation database data aggregated to GCAM region") %>% add_legacy_name("L154.cost_usdvkm_R_trn_m_sz_tech_F_Y") %>% - add_precursors("UCD_trn_data_CORE","UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5","UCD_trn_data_SSP2", + add_precursors("energy/UCD_trn_data_CORE","energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE_highEV", "energy/mappings/UCD_size_class_revisions", "energy/mappings/UCD_ctry", "common/iso_GCAM_regID", "energy/mappings/calibrated_techs_trn_agg", "energy/mappings/enduse_fuel_aggregation", "energy/mappings/UCD_techs", @@ -648,7 +643,7 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { add_units("km/hr") %>% add_comments("UCD transportation database data aggregated to GCAM region") %>% add_legacy_name("L154.speed_kmhr_R_trn_m_sz_tech_F_Y") %>% - add_precursors("UCD_trn_data_CORE","UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5","UCD_trn_data_SSP2", + add_precursors("energy/UCD_trn_data_CORE","energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE_highEV", "energy/mappings/UCD_size_class_revisions", "energy/mappings/UCD_ctry", "common/iso_GCAM_regID", "energy/mappings/calibrated_techs_trn_agg", "energy/mappings/enduse_fuel_aggregation", "energy/mappings/UCD_techs", @@ -664,7 +659,7 @@ module_energy_LA154.transportation_UCD <- function(command, ...) { add_comments("UCD transportation data combined with population data") %>% add_legacy_name("L154.out_mpkm_R_trn_nonmotor_Yh") %>% add_precursors("common/iso_GCAM_regID", "energy/mappings/UCD_ctry", - "UCD_trn_data_CORE","UCD_trn_data_SSP1","UCD_trn_data_SSP3","UCD_trn_data_SSP5","UCD_trn_data_SSP2", + "energy/UCD_trn_data_CORE","energy/UCD_trn_data_SSP1","energy/UCD_trn_data_SSP3","energy/UCD_trn_data_SSP5","energy/UCD_trn_data_CORE_highEV", "energy/mappings/UCD_size_class_revisions", "energy/mappings/UCD_size_class_revisions", "L100.Pop_thous_ctry_Yh") -> L154.out_mpkm_R_trn_nonmotor_Yh diff --git a/input/gcamdata/R/zchunk_data_UCD_transportation.R b/input/gcamdata/R/zchunk_data_UCD_transportation.R deleted file mode 100644 index 8c3b34e2fd..0000000000 --- a/input/gcamdata/R/zchunk_data_UCD_transportation.R +++ /dev/null @@ -1,54 +0,0 @@ -# Copyright 2019 Battelle Memorial Institute; see the LICENSE file. - -#' module_data_UCD_transportation -#' -#' Dedicated data chunk to read UCD transportation database -#' -#' @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{UCD_trn_data_CORE}, \code{UCD_trn_data_SSP1}, -#' \code{UCD_trn_data_CORE}, \code{UCD_trn_data_CORE}, \code{UCD_trn_data_CORE}. -#' @details The \code{UCD_trn_data_CORE.csv} file suddenly, in line 1403, stops -#' using trailing commas for blank columns, and then restarts doing so 672 rows later. -#' This generates a warning in the general purpose \code{\link{load_csv_files}} -#' that we'd rather not suppress universally. -#' @importFrom assertthat assert_that -#' @importFrom tibble tibble -#' @author BBL June 2017 -module_data_UCD_transportation <- function(command, ...) { - - prefix <- "UCD_trn_data_" - suffixes <- c("CORE", "SSP1", "SSP2", "SSP3", "SSP5") - - if(command == driver.DECLARE_INPUTS) { - return(NULL) - } else if(command == driver.DECLARE_OUTPUTS) { - return(paste0(prefix, suffixes)) - } else if(command == driver.MAKE) { - - UCD_trn_data_CORE <- UCD_trn_data_SSP1 <- UCD_trn_data_SSP2 <- - UCD_trn_data_SSP3 <- UCD_trn_data_SSP5 <- NULL # silence package check notes - - for(sfx in suffixes) { - varname <- paste0(prefix, sfx) - fqfn <- find_csv_file(paste0("energy/", varname), optional = FALSE, quiet = TRUE) - - suppressWarnings(readr::read_csv(fqfn, comment = COMMENT_CHAR, col_types = "ccccccccddddddd")) %>% - add_title("Core UC Davis transportation database") %>% - add_units("Various") %>% - add_comments(paste("Read from", gsub("^.*extdata", "extdata", fqfn))) %>% - add_legacy_name(varname) %>% - add_flags(FLAG_NO_OUTPUT) -> - x - - assign(varname, x) - } - - return_data(UCD_trn_data_CORE, UCD_trn_data_SSP1, UCD_trn_data_SSP2, - UCD_trn_data_SSP3, UCD_trn_data_SSP5) - } else { - stop("Unknown command") - } -} From 023ed374981d4b36435a5af2948b7520c9a0caf6 Mon Sep 17 00:00:00 2001 From: Kyle Date: Tue, 29 Jun 2021 14:02:03 -0400 Subject: [PATCH 09/31] include CEDS emissions data files in gcamdata/.gitignore --- input/gcamdata/.gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/input/gcamdata/.gitignore b/input/gcamdata/.gitignore index ac0b4ae7f1..970d25ccbc 100644 --- a/input/gcamdata/.gitignore +++ b/input/gcamdata/.gitignore @@ -20,6 +20,7 @@ inst/doc # Proprietary files IEA_EnergyBalances_2019.csv.gz +*CEDS_emissions.csv # OS files .DS_Store From cdb828c4284610b8a27adfd29041d70f2e344fe5 Mon Sep 17 00:00:00 2001 From: enlochner Date: Wed, 30 Jun 2021 09:17:09 -0500 Subject: [PATCH 10/31] Remove %notin% occurrences --- input/gcamdata/R/zchunk_L210.resources.R | 2 +- input/gcamdata/R/zchunk_L252.MACC.R | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/input/gcamdata/R/zchunk_L210.resources.R b/input/gcamdata/R/zchunk_L210.resources.R index c6b20729d8..fd08ea98a2 100644 --- a/input/gcamdata/R/zchunk_L210.resources.R +++ b/input/gcamdata/R/zchunk_L210.resources.R @@ -395,7 +395,7 @@ module_energy_L210.resources <- function(command, ...) { L210.ReserveCalReserve.uncon_other_reg <- L210.ReserveCalReserve %>% filter(resource =="coal") %>% - filter(region %notin% c(unique(L210.ReserveCalReserve_unoil$region))) %>% + filter(!region %in% c(unique(L210.ReserveCalReserve_unoil$region))) %>% mutate(resource =paste0("crude oil"),reserve.subresource =paste0("unconventional oil"),cal.reserve=0) L210.ReserveCalReserve <- bind_rows(L210.ReserveCalReserve,L210.ReserveCalReserve.uncon_other_reg) diff --git a/input/gcamdata/R/zchunk_L252.MACC.R b/input/gcamdata/R/zchunk_L252.MACC.R index 85d1223e60..d330191c0c 100644 --- a/input/gcamdata/R/zchunk_L252.MACC.R +++ b/input/gcamdata/R/zchunk_L252.MACC.R @@ -124,7 +124,7 @@ module_emissions_L252.MACC <- function(command, ...) { repeat_add_columns(tibble(tax = MAC_taxes)) %>% repeat_add_columns(tibble(year = emissions.EPA_MACC_YEAR)) %>% # we don't need MACs for calibration years - filter(year %notin% MODEL_BASE_YEARS) + filter(!year %in% MODEL_BASE_YEARS) # Next, add in mac.reduction values if(error_no_match) { # Usually we use left_join_error_no_match From 76e29c0a062557739da882b2ad0bc50469ec4fd0 Mon Sep 17 00:00:00 2001 From: enlochner Date: Wed, 30 Jun 2021 09:18:18 -0500 Subject: [PATCH 11/31] Remove successive mutate calls --- input/gcamdata/R/zchunk_L254.transportation_UCD.R | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/input/gcamdata/R/zchunk_L254.transportation_UCD.R b/input/gcamdata/R/zchunk_L254.transportation_UCD.R index 82baae2546..cf2156bcf3 100644 --- a/input/gcamdata/R/zchunk_L254.transportation_UCD.R +++ b/input/gcamdata/R/zchunk_L254.transportation_UCD.R @@ -374,8 +374,8 @@ module_energy_L254.transportation_UCD <- function(command, ...) { filter(addTimeValue == 1) %>% write_to_all_regions(c(LEVEL2_DATA_NAMES[["tranSubsector"]], "addTimeValue", "time.value.multiplier","sce"), GCAM_region_names = GCAM_region_names) %>% - mutate(year.fillout = min(MODEL_YEARS)) %>% - mutate(sce= if_else(is.na(sce),"CORE",sce)) %>% + mutate(year.fillout = min(MODEL_YEARS), + sce= if_else(is.na(sce),"CORE",sce)) %>% # Subset only the combinations of region, supplysector, and tranSubsector semi_join(r_ss_ts_all, by = c("region", "supplysector", "tranSubsector","sce")) %>% select(LEVEL2_DATA_NAMES[["tranSubsector"]], year.fillout, addTimeValue, time.value.multiplier,sce) %>% @@ -596,9 +596,10 @@ module_energy_L254.transportation_UCD <- function(command, ...) { "stub.technology", "year", "sce")) %>% left_join(L254.StubTranTechCoef, by = c("region", "supplysector", "tranSubsector", "stub.technology", "minicam.energy.input", "year","sce")) %>% - mutate(loadFactor=if_else(is.na(loadFactor),0,loadFactor),coefficient=if_else(is.na(coefficient),0,coefficient)) %>% - mutate(output = calibrated.value * loadFactor * CONV_EJ_GJ / (coefficient * CONV_BTU_KJ)) %>% - mutate(output = if_else(is.na(output),0,output)) %>% + mutate(loadFactor=if_else(is.na(loadFactor),0,loadFactor), + coefficient=if_else(is.na(coefficient),0,coefficient), + output = calibrated.value * loadFactor * CONV_EJ_GJ / (coefficient * CONV_BTU_KJ), + output = if_else(is.na(output),0,output)) %>% select(region, supplysector, tranSubsector, stub.technology, year, minicam.energy.input, calibrated.value, loadFactor, coefficient, output,sce) -> L254.StubTranTechOutput @@ -641,8 +642,8 @@ module_energy_L254.transportation_UCD <- function(command, ...) { L254.StubTechCalInput_passthru_cum %>% mutate(calibrated.value = if_else(minicam.energy.input %in% LIST_supplysector, - output_cum, output_agg)) %>% - mutate(share.weight.year = year, + output_cum, output_agg), + share.weight.year = year, subs.share.weight = if_else(calibrated.value > 0, 1, 0), tech.share.weight = subs.share.weight) %>% select(region, supplysector, tranSubsector, stub.technology, year, From 64fa2242aeab4e6ecfbdb81678ef9e13943a4104 Mon Sep 17 00:00:00 2001 From: Matthew Binsted Date: Wed, 30 Jun 2021 17:39:11 -0400 Subject: [PATCH 12/31] Update electricity cost files / calculations to ensure that all technologies receive a variable O&M cost input (even if it is zero). This adds an OM-var cost for CSP & CSP_storage, which will (modestly) impact results. --- input/gcamdata/R/zchunk_LA113.atb_cost.R | 2 ++ input/gcamdata/inst/extdata/energy/A23.globaltech_OMvar.csv | 6 ++++++ .../inst/extdata/energy/Muratori_globaltech_OMvar.csv | 6 ++++++ 3 files changed, 14 insertions(+) diff --git a/input/gcamdata/R/zchunk_LA113.atb_cost.R b/input/gcamdata/R/zchunk_LA113.atb_cost.R index 994a1d4e82..48f77e8b51 100644 --- a/input/gcamdata/R/zchunk_LA113.atb_cost.R +++ b/input/gcamdata/R/zchunk_LA113.atb_cost.R @@ -164,6 +164,8 @@ module_energy_LA113.atb_cost <- function(command, ...) { left_join_error_no_match(atb_gcam_mapping_ratios, by = "technology") %>% left_join_error_no_match(L113.cost_shadow, by = c("shadow_tech", "year", "input", "case")) %>% mutate(cost_ratio = value / shadow_tech_cost) %>% + # technologies with cost = 0 for tech & shadow tech (e.g. CSP OM-var) return NAN... reset to cost_ratio = 1 + mutate(cost_ratio = if_else(is.nan(cost_ratio), 1, cost_ratio)) %>% select(technology, year, cost_ratio, input, case) %>% # fill out for all ATB years complete(nesting(technology, input, case), year = c(ATB_years)) %>% diff --git a/input/gcamdata/inst/extdata/energy/A23.globaltech_OMvar.csv b/input/gcamdata/inst/extdata/energy/A23.globaltech_OMvar.csv index 0f03161fb9..116767cfcc 100644 --- a/input/gcamdata/inst/extdata/energy/A23.globaltech_OMvar.csv +++ b/input/gcamdata/inst/extdata/energy/A23.globaltech_OMvar.csv @@ -26,3 +26,9 @@ electricity,nuclear,Gen_III,OM-var,,,,,,0.75,0.01, electricity,wind,wind,OM-var,,,,,,0.7,0.03, electricity,wind,wind_storage,OM-var,,,,,,0.7,0.03, electricity,wind,wind_offshore,OM-var,,,,,,0.7,0.03, +electricity,solar,PV,OM-var,,,,,,0.7,0.03, +electricity,solar,PV_storage,OM-var,,,,,,0.7,0.03, +electricity,solar,CSP,OM-var,,,,,,0.6,0.05, +electricity,solar,CSP_storage,OM-var,,,,,,0.7,0.03, +electricity,geothermal,geothermal,OM-var,,,,,,0.75,0.01, +elect_td_bld,rooftop_pv,rooftop_pv,OM-var,,,,,,0.7,0.03, diff --git a/input/gcamdata/inst/extdata/energy/Muratori_globaltech_OMvar.csv b/input/gcamdata/inst/extdata/energy/Muratori_globaltech_OMvar.csv index 4747ba5d19..6328adfca3 100644 --- a/input/gcamdata/inst/extdata/energy/Muratori_globaltech_OMvar.csv +++ b/input/gcamdata/inst/extdata/energy/Muratori_globaltech_OMvar.csv @@ -26,3 +26,9 @@ electricity,nuclear,Gen_III,OM-var,0.16,0.16,0.16,0.619654024,0.619654024,0.75,0 electricity,wind,wind,OM-var,2.28,2.28,2.28,0,0,0.7,0.03, electricity,wind,wind_storage,OM-var,3.91,3.91,3.91,0,0,0.7,0.03,wind electricity,wind,wind_offshore,OM-var,2.28,2.28,2.28,0,0,0.7,0.03, +electricity,solar,PV,OM-var,0,0,0,0,0,0.7,0.03, +electricity,solar,PV_storage,OM-var,0,0,0,0,0,0.7,0.03, +electricity,solar,CSP,OM-var,0,0,0,0,0,0.6,0.05, +electricity,solar,CSP_storage,OM-var,0,0,0,0,0,0.7,0.03, +electricity,geothermal,geothermal,OM-var,0,0,0,0,0,0.75,0.01, +elect_td_bld,rooftop_pv,rooftop_pv,OM-var,0,0,0,0,0,0.7,0.03, From ab31c8e035e8c600302e5629efc7a73edb525f92 Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 6 Jul 2021 09:27:00 -0400 Subject: [PATCH 13/31] Fix GHGPolicy so that taxes and constraints do not use the sentinal value -1 to indicate not set and use the Value class in this case. More importantly fix GHGPolicy (consistent with PolicyPortfolioStd) so that if both fixedTax and constraint are both read in the constraint takes precedence and the tax value is just used as an initial guess. --- cvs/objects/policy/include/policy_ghg.h | 5 ++-- cvs/objects/policy/source/policy_ghg.cpp | 31 +++++++++++------------- 2 files changed, 17 insertions(+), 19 deletions(-) diff --git a/cvs/objects/policy/include/policy_ghg.h b/cvs/objects/policy/include/policy_ghg.h index 900e335844..fa6ccd3e63 100644 --- a/cvs/objects/policy/include/policy_ghg.h +++ b/cvs/objects/policy/include/policy_ghg.h @@ -52,6 +52,7 @@ #include "util/base/include/inamed.h" #include "util/base/include/time_vector.h" +#include "util/base/include/value.h" #include "util/base/include/data_definition_util.h" // Need to forward declare the subclasses as well. @@ -94,10 +95,10 @@ class GHGPolicy: public INamed, private boost::noncopyable { DEFINE_VARIABLE( SIMPLE, "market", mMarket, std::string ), //! Emissions constraint by year(tgC or MTC) - DEFINE_VARIABLE( ARRAY, "constraint", mConstraint, objects::PeriodVector ), + DEFINE_VARIABLE( ARRAY, "constraint", mConstraint, objects::PeriodVector ), //! Fixed tax on Emissions by year($/TC) - DEFINE_VARIABLE( ARRAY, "fixedTax", mFixedTax, objects::PeriodVector ) + DEFINE_VARIABLE( ARRAY, "fixedTax", mFixedTax, objects::PeriodVector ) ) void copy( const GHGPolicy& aOther ); diff --git a/cvs/objects/policy/source/policy_ghg.cpp b/cvs/objects/policy/source/policy_ghg.cpp index ff7657c910..1ee4f34078 100644 --- a/cvs/objects/policy/source/policy_ghg.cpp +++ b/cvs/objects/policy/source/policy_ghg.cpp @@ -62,9 +62,7 @@ using namespace xercesc; extern Scenario* scenario; /*! \brief Default constructor. */ -GHGPolicy::GHGPolicy(): -mConstraint( -1 ), -mFixedTax( -1 ) +GHGPolicy::GHGPolicy() { } @@ -73,11 +71,9 @@ mFixedTax( -1 ) * constraint. */ GHGPolicy::GHGPolicy( const string aName, const string aMarket ): -mConstraint( -1 ), -mFixedTax( -1 ) +mName(aName), +mMarket(aMarket) { - mName = aName; - mMarket = aMarket; } /*! \brief Constructor used when explicitly constructing a fixed tax. @@ -90,7 +86,6 @@ GHGPolicy::GHGPolicy( const string aName, const string aMarket, mName = aName; mMarket = aMarket; - mConstraint.assign( mConstraint.size(), -1 ); std::copy( aTaxes.begin(), aTaxes.end(), mFixedTax.begin() ); } @@ -165,10 +160,10 @@ void GHGPolicy::XMLParse( const DOMNode* node ){ mMarket = XMLHelper::getValue( curr ); // should be only one market } else if( nodeName == "constraint" ){ - XMLHelper::insertValueIntoVector( curr, mConstraint, modeltime ); + XMLHelper::insertValueIntoVector( curr, mConstraint, modeltime ); } else if( nodeName == "fixedTax" ){ - XMLHelper::insertValueIntoVector( curr, mFixedTax, modeltime ); + XMLHelper::insertValueIntoVector( curr, mFixedTax, modeltime ); } else { ILogger& mainLog = ILogger::getLogger( "main_log" ); @@ -219,9 +214,9 @@ void GHGPolicy::completeInit( const string& aRegionName ) { // check for missing periods in which case interpolate for( int i = 1; i < modeltime->getmaxper(); ++i ) { - if( mFixedTax[ i ] == -1 && mFixedTax[ i - 1 ] != -1 ) { + if( !mFixedTax[ i ].isInited() && mFixedTax[ i - 1 ].isInited() ) { int j; - for( j = i + 1; j < modeltime->getmaxper() && mFixedTax[ j ] == -1; ++j ) { + for( j = i + 1; j < modeltime->getmaxper() && !mFixedTax[ j ].isInited(); ++j ) { } if( j < modeltime->getmaxper() ) { mFixedTax[ i ] = util::linearInterpolateY( modeltime->getper_to_yr( i ), @@ -231,9 +226,9 @@ void GHGPolicy::completeInit( const string& aRegionName ) { mFixedTax[ j ] ); } } - if( mConstraint[ i ] == -1 && mConstraint[ i - 1 ] != -1 ) { + if( !mConstraint[ i ].isInited() && mConstraint[ i - 1 ].isInited() ) { int j; - for( j = i + 1; j < modeltime->getmaxper() && mConstraint[ j ] == -1; ++j ) { + for( j = i + 1; j < modeltime->getmaxper() && !mConstraint[ j ].isInited(); ++j ) { } if( j < modeltime->getmaxper() ) { mConstraint[ i ] = util::linearInterpolateY( modeltime->getper_to_yr( i ), @@ -250,11 +245,13 @@ void GHGPolicy::completeInit( const string& aRegionName ) { // If it is a constraint, add the constraint to the market and set the // market to solve. for( unsigned int i = 0; i < modeltime->getmaxper(); ++i ){ - if( mFixedTax[ i ] != -1 ){ + if( mFixedTax[ i ].isInited() ){ marketplace->unsetMarketToSolve( mName, aRegionName, i ); marketplace->setPrice( mName, aRegionName, mFixedTax[ i ], i ); } - else if( mConstraint[ i ] != -1 ){ + // if both a fixed tax and constraint are provided the constraint takes + // precedence and the fixed tax is used as initial guess + if( mConstraint[ i ].isInited() ){ marketplace->setMarketToSolve( mName, aRegionName, i ); // Adding the difference between the constraint for this period // and the current supply because addToSupply adds to the current @@ -265,7 +262,7 @@ void GHGPolicy::completeInit( const string& aRegionName ) { // GHG policies must have a price >= 0. It may be the case that the constraint is // non-binding at a zero price in which case the solver can use this information to - // make a supply currection to still ensure equality. + // make a supply correction to still ensure equality. SectorUtils::setSupplyBehaviorBounds( mName, aRegionName, 0, util::getLargeNumber(), i ); } } From 5529da6382b74446949408add230b0dcf9474de2 Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 6 Jul 2021 09:29:49 -0400 Subject: [PATCH 14/31] Fix bug with negative emissions budget + linked policies + constraint which was causing GHG constraints to have poor solution behavior --- cvs/objects/policy/source/linked_ghg_policy.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cvs/objects/policy/source/linked_ghg_policy.cpp b/cvs/objects/policy/source/linked_ghg_policy.cpp index 37527880db..7c5cf10c4a 100644 --- a/cvs/objects/policy/source/linked_ghg_policy.cpp +++ b/cvs/objects/policy/source/linked_ghg_policy.cpp @@ -218,7 +218,7 @@ void LinkedGHGPolicy::completeInit( const string& aRegionName ) { // Add a dependency between this mand the linked market and include a dummy // activity to ensure the dependecy finder has an activity to traverse MarketDependencyFinder* depFinder = marketplace->getDependencyFinder(); - depFinder->addDependency( mPolicyName, aRegionName, mLinkedPolicyName, aRegionName ); + depFinder->addDependency( mPolicyName, aRegionName, mLinkedPolicyName, aRegionName, false ); depFinder->resolveActivityToDependency( aRegionName, mPolicyName, new DummyActivity(), new DummyActivity() ); From c87573836a847e74bb89f09cf169efd20fd5ea00 Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 6 Jul 2021 09:31:23 -0400 Subject: [PATCH 15/31] Some solution changes that got lost in the shuffle which were meant to be in with the last set of solution fixes (the CMP even describes that it is!). The only change of consequence is to set the scale of demands to 1 if the market is solved below the solution floor so that Broyden doesn't waste iterations on such markets. In theory this should help with variability in solution performance with parallel turned on. --- cvs/objects/solution/solvers/source/logbroyden.cpp | 2 -- cvs/objects/solution/solvers/source/preconditioner.cpp | 10 +++++++--- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/cvs/objects/solution/solvers/source/logbroyden.cpp b/cvs/objects/solution/solvers/source/logbroyden.cpp index 7467b9adbb..36bba55a04 100644 --- a/cvs/objects/solution/solvers/source/logbroyden.cpp +++ b/cvs/objects/solution/solvers/source/logbroyden.cpp @@ -652,9 +652,7 @@ int LogBroyden::bsolve(VecFVec &F, UBVECTOR &x, UBVECTOR &fx, fxstep -= B * xstep; fxstep /= dx2; B += fxstep * xstep.transpose(); - if(iter >0) { ageB++; // increment the age of B - } } else { // Progress using the Broyden formula is anemic. This usually diff --git a/cvs/objects/solution/solvers/source/preconditioner.cpp b/cvs/objects/solution/solvers/source/preconditioner.cpp index 4d56dfa6ce..0e19219e12 100644 --- a/cvs/objects/solution/solvers/source/preconditioner.cpp +++ b/cvs/objects/solution/solvers/source/preconditioner.cpp @@ -243,10 +243,14 @@ SolverComponent::ReturnCode Preconditioner::solve( SolutionInfoSet& aSolutionSet fp = fd = newScale; } else if(isSolved && !(solvable[i].getType() == IMarketType::TAX || solvable[i].getType() == IMarketType::SUBSIDY)) { + // TODO: might want to add SolutionInfo::getSolutionFloor() and check that instead + // the market is solved, in case it is solved to the solution floor don't let + // NR make a big deal out of relative differences + double demandScale = abs(olddmnd) < 1e-5 || abs(oldsply) < 1e-5 ? 1.0 : olddmnd; solvable[i].setForecastPrice(oldprice); - solvable[i].setForecastDemand(olddmnd); + solvable[i].setForecastDemand(demandScale); fp = oldprice; - fd = olddmnd; + fd = demandScale; } if(fd == 0.0) { if(olddmnd > 0.0) { @@ -344,7 +348,7 @@ SolverComponent::ReturnCode Preconditioner::solve( SolutionInfoSet& aSolutionSet lb = solvable[i].getLowerBoundSupplyPrice(); ub = solvable[i].getUpperBoundSupplyPrice(); if(!isSolved && oldprice < lb) { - newprice = 0.001; + newprice = lb + 0.001; solvable[i].setPrice(newprice); chg = true; ++nchg; From ebeb48bdd5ba9c8594d03835288a26d26a561170 Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 6 Jul 2021 09:54:40 -0400 Subject: [PATCH 16/31] Update the compiled .jar files and the modelinterface submodule to reflect the bugfix changes --- exe/XMLDBDriver.jar | Bin 11857 -> 11986 bytes output/modelinterface/ModelInterface.jar | Bin 1175895 -> 1182451 bytes output/modelinterface/modelinterface | 2 +- 3 files changed, 1 insertion(+), 1 deletion(-) diff --git a/exe/XMLDBDriver.jar b/exe/XMLDBDriver.jar index 410c672aae27b7bf0389cc50c847c4b2d106a209..d849161ffbce4491ec5b34d14432420f6cd2ecc2 100644 GIT binary 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zU97X`yK-1&Ecn?#`5ySlguvFe$aG-{u4p*xeJXIorP6w{l0yII_mD>PK0~}ohDz&e LGRg Date: Tue, 6 Jul 2021 09:59:20 -0400 Subject: [PATCH 17/31] Take case of deprecation warning about `group_by` / `add` --- input/gcamdata/R/zchunk_LB1011.fossilFuel_GrossTrade_EJ_R_C_Y.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/input/gcamdata/R/zchunk_LB1011.fossilFuel_GrossTrade_EJ_R_C_Y.R b/input/gcamdata/R/zchunk_LB1011.fossilFuel_GrossTrade_EJ_R_C_Y.R index 6bd77fd2b9..f83b737493 100644 --- a/input/gcamdata/R/zchunk_LB1011.fossilFuel_GrossTrade_EJ_R_C_Y.R +++ b/input/gcamdata/R/zchunk_LB1011.fossilFuel_GrossTrade_EJ_R_C_Y.R @@ -146,7 +146,7 @@ module_energy_LB1011.ff_GrossTrade <- function(command, ...) { group_by(GCAM_region_ID, GCAM_Commodity, var, year) %>% summarise(value = sum(value)) %>% mutate(year = round(year/5)*5) %>% #Round year to nearest 5 (gcam period) - group_by(GCAM_region_ID, GCAM_Commodity, var, year, add = FALSE) %>% + group_by(GCAM_region_ID, GCAM_Commodity, var, year) %>% summarise(value = mean(value)) %>% ungroup() %>% complete(GCAM_region_ID = unique(GCAM_region_ID), From 6e413acae85abbe4aeb69a909a288c0681c3755e Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 6 Jul 2021 15:15:13 -0400 Subject: [PATCH 18/31] Some fixes to primary energy and food demand queries --- output/queries/Main_queries.xml | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/output/queries/Main_queries.xml b/output/queries/Main_queries.xml index 6a8098359a..1a8f8e5ebe 100644 --- a/output/queries/Main_queries.xml +++ b/output/queries/Main_queries.xml @@ -224,6 +224,9 @@ + + + @@ -260,7 +263,7 @@ declare function local:generate-sector-input-coefs($outputNameQueue as xs:string*, $currTree as node(), $coefs as node()*, $is_usa as xs:boolean) as node()* { if(empty($outputNameQueue)) then $coefs else if( exists($coefs[@name = $outputNameQueue[1]]) or exists(index-of(('biomass', -'traded unconventional oil', 'regional corn for ethanol', 'regional biomassOil', 'regional sugar for ethanol', 'regional sugarbeet for ethanol'), +'traded oil', 'traded coal', 'traded natural gas', 'regional corn for ethanol', 'regional biomassOil', 'regional sugar for ethanol', 'regional sugarbeet for ethanol'), $outputNameQueue[1])) or not($currTree/*[@type='sector' and @name=$outputNameQueue[1]])) then (:if(not($is_usa) and string-length($currTree/@name) = 2) then @@ -272,7 +275,7 @@ local:generate-sector-input-coefs(remove($outputNameQueue, 1), $currTree, $coefs $newOutputNameQueue := remove($outputNameQueue, 1), $useOutputs := $currTree//output-primary[@type='output' and @name=$outputName], $useInputs := for $out in $useOutputs[not(following-sibling::keyword[exists(@primary-renewable)])] - return $out/following-sibling::*[@type='input' and not(@name='oil-credits')], + return $out/following-sibling::*[@type='input' and not(@name='oil-credits') and not(starts-with(@name, 'water_td'))], $renewOutputs := for $out in $useOutputs[following-sibling::keyword[exists(@primary-renewable)]] return element output { attribute name { $out/following-sibling::keyword/@primary-renewable }, @@ -317,8 +320,8 @@ local:generate-sector-input-coefs(remove($outputNameQueue, 1), $currTree, $coefs declare function local:generate-ccs-coefs($currTree as node(), $coefs as node()*) as node()* { for $sector in $coefs/@name let $currSector := $currTree/*[@type='sector' and @name=$sector], - $useInputs := $currSector//*[@type='technology' and not(contains(@name, 'CCS')) and not(child::keyword/@primary-renewable)]/*[@type='input' and not(@name='oil-credits')], - $useInputsCCS := $currSector//*[@type='technology' and contains(@name, 'CCS')]/*[@type='input' and not(@name='oil-credits')], + $useInputs := $currSector//*[@type='technology' and not(contains(@name, 'CCS')) and not(child::keyword/@primary-renewable)]/*[@type='input' and not(@name='oil-credits') and not(starts-with(@name, 'water_td'))], + $useInputsCCS := $currSector//*[@type='technology' and contains(@name, 'CCS')]/*[@type='input' and not(@name='oil-credits') and not(starts-with(@name, 'water_td'))], $totalOutputSum := for $vintage in distinct-values($useInputs/demand-physical/@vintage | $useInputsCCS/demand-physical/@vintage) return element output { attribute vintage { $vintage }, @@ -449,6 +452,9 @@ local:generate-sector-input-coefs(remove($outputNameQueue, 1), $currTree, $coefs + + + @@ -3625,14 +3631,14 @@ element input { sector physical-output[@vintage] - *[@type='sector' and (@name='FoodDemand_Crops' or @name='FoodDemand_Meat')]// + *[@type='sector' and (@name='FoodDemand_Staples' or @name='FoodDemand_NonStaples')]// *[@type='output']/physical-output/node() technology physical-output[@vintage] - *[@type='sector' and (@name='FoodDemand_Crops' or @name='FoodDemand_Meat')]/ + *[@type='sector' and (@name='FoodDemand_Staples' or @name='FoodDemand_NonStaples')]/ *[@type='subsector']/*[@type='technology']/ *[@type='output']/physical-output/node() From bd46db9af8b17a11de4a03621f1e4bc0159ba5ab Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 6 Jul 2021 16:40:06 -0400 Subject: [PATCH 19/31] Clean up a couple more precursor warnings --- input/gcamdata/R/zchunk_L221.en_supply.R | 14 -------------- input/gcamdata/R/zchunk_L226.en_distribution_USA.R | 3 ++- 2 files changed, 2 insertions(+), 15 deletions(-) diff --git a/input/gcamdata/R/zchunk_L221.en_supply.R b/input/gcamdata/R/zchunk_L221.en_supply.R index 0582efbe2b..846b1d8fd3 100644 --- a/input/gcamdata/R/zchunk_L221.en_supply.R +++ b/input/gcamdata/R/zchunk_L221.en_supply.R @@ -33,8 +33,6 @@ module_energy_L221.en_supply <- function(command, ...) { FILE = "energy/A21.globaltech_keyword", FILE = "energy/A21.globaltech_secout", FILE = "energy/A21.rsrc_info", - "L121.in_EJ_R_TPES_unoil_Yh", - "L121.in_EJ_R_TPES_crude_Yh", "L121.BiomassOilRatios_kgGJ_R_C", "L122.in_Mt_R_C_Yh", FILE = "aglu/A_an_input_subsector", @@ -92,8 +90,6 @@ module_energy_L221.en_supply <- function(command, ...) { A21.globaltech_keyword <- get_data(all_data, "energy/A21.globaltech_keyword", strip_attributes = TRUE) A21.globaltech_secout <- get_data(all_data, "energy/A21.globaltech_secout", strip_attributes = TRUE) A21.rsrc_info <- get_data(all_data, "energy/A21.rsrc_info", strip_attributes = TRUE) - L121.in_EJ_R_TPES_unoil_Yh <- get_data(all_data, "L121.in_EJ_R_TPES_unoil_Yh") - L121.in_EJ_R_TPES_crude_Yh <- get_data(all_data, "L121.in_EJ_R_TPES_crude_Yh") L121.BiomassOilRatios_kgGJ_R_C <- get_data(all_data, "L121.BiomassOilRatios_kgGJ_R_C", strip_attributes = TRUE) L122.in_Mt_R_C_Yh <- get_data(all_data, "L122.in_Mt_R_C_Yh", strip_attributes = TRUE) A_an_input_subsector <- get_data(all_data, "aglu/A_an_input_subsector") @@ -360,16 +356,6 @@ module_energy_L221.en_supply <- function(command, ...) { # Calibration and region specific data - # Unconventional oil demand - L121.in_EJ_R_TPES_unoil_Yh %>% - left_join(A_regions %>% - select(GCAM_region_ID, region), by = "GCAM_region_ID") -> L121.in_EJ_R_TPES_unoil_Yh - - # Crude oil demand - L121.in_EJ_R_TPES_crude_Yh %>% - left_join(A_regions %>% - select(GCAM_region_ID, region), by = "GCAM_region_ID") -> L121.in_EJ_R_TPES_crude_Yh - # GPK 4/26/2019: Region-specific calibrated output of biomassOil technologies # Because multiple feedstocks for producing biomassOil are allowed, the quantities are calibrated L221.StubTechCalInput_bioOil <- L122.in_Mt_R_C_Yh %>% diff --git a/input/gcamdata/R/zchunk_L226.en_distribution_USA.R b/input/gcamdata/R/zchunk_L226.en_distribution_USA.R index fa3610d3ab..f4c46e4695 100644 --- a/input/gcamdata/R/zchunk_L226.en_distribution_USA.R +++ b/input/gcamdata/R/zchunk_L226.en_distribution_USA.R @@ -361,7 +361,8 @@ module_gcamusa_L226.en_distribution_USA <- function(command, ...) { add_comments("Currently using FERC regions as a proxy for regional energy markets.") %>% add_legacy_name("L226.Supplysector_en_USA") %>% add_precursors("energy/A21.sector", - "energy/A26.sector") -> + "energy/A26.sector", + "energy/A_ff_RegionalSector") -> L226.Supplysector_en_USA L226.SubsectorShrwtFllt_en_USA %>% From cf3df9330b221f27a2b926b6ab39d07db2cfe7ed Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Tue, 6 Jul 2021 16:56:58 -0400 Subject: [PATCH 20/31] Fix primary energy rewrites for traded*CCS --- output/queries/Main_queries.xml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/output/queries/Main_queries.xml b/output/queries/Main_queries.xml index 1a8f8e5ebe..c348635799 100644 --- a/output/queries/Main_queries.xml +++ b/output/queries/Main_queries.xml @@ -455,6 +455,9 @@ local:generate-sector-input-coefs(remove($outputNameQueue, 1), $currTree, $coefs + + + From 1fa6a4eee6e00f23670dc79a142fae97e9392e1a Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Thu, 8 Jul 2021 08:43:40 -0400 Subject: [PATCH 21/31] Update initial tax guesses for 2.6 target finder files for 5.4 --- input/policy/forcing_target_2p6_overshoot.xml | 2 +- input/policy/policy_target_2p6_spa1.xml | 2 +- input/policy/policy_target_2p6_spa23.xml | 2 +- input/policy/policy_target_2p6_spa4.xml | 2 +- input/policy/policy_target_2p6_spa5.xml | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/input/policy/forcing_target_2p6_overshoot.xml b/input/policy/forcing_target_2p6_overshoot.xml index 961ddd9705..fdcf94dc7e 100644 --- a/input/policy/forcing_target_2p6_overshoot.xml +++ b/input/policy/forcing_target_2p6_overshoot.xml @@ -38,7 +38,7 @@ significantly. --> - 139.0 + 100.0 diff --git a/input/policy/policy_target_2p6_spa1.xml b/input/policy/policy_target_2p6_spa1.xml index 32f107aa72..350fe0da83 100644 --- a/input/policy/policy_target_2p6_spa1.xml +++ b/input/policy/policy_target_2p6_spa1.xml @@ -5,7 +5,7 @@ forcing 2025 - 32.5 + 46.8 CO2_LTG 8000 diff --git a/input/policy/policy_target_2p6_spa23.xml b/input/policy/policy_target_2p6_spa23.xml index a7fd976456..d175fcee76 100644 --- a/input/policy/policy_target_2p6_spa23.xml +++ b/input/policy/policy_target_2p6_spa23.xml @@ -5,7 +5,7 @@ forcing 2040 - 235.0 + 208.0 CO2_LTG 8000 diff --git a/input/policy/policy_target_2p6_spa4.xml b/input/policy/policy_target_2p6_spa4.xml index a8bb87070a..b0b1f76a57 100644 --- a/input/policy/policy_target_2p6_spa4.xml +++ b/input/policy/policy_target_2p6_spa4.xml @@ -5,7 +5,7 @@ forcing 2025 - 88.5 + 57.8 CO2_LTG 8000 diff --git a/input/policy/policy_target_2p6_spa5.xml b/input/policy/policy_target_2p6_spa5.xml index ef322a4dfb..dd2189cbaf 100644 --- a/input/policy/policy_target_2p6_spa5.xml +++ b/input/policy/policy_target_2p6_spa5.xml @@ -5,7 +5,7 @@ forcing 2040 - 242.0 + 224.5 CO2_LTG 8000 From d02d933bb773dcc05db029f1ff048f04b705d06c Mon Sep 17 00:00:00 2001 From: Yang Ou Date: Fri, 9 Jul 2021 00:06:50 -0400 Subject: [PATCH 22/31] Update zchunk_L112.ceds_ghg_en_R_S_T_Y.R --- input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R index 713f511821..5215d9a93f 100644 --- a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R +++ b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R @@ -1101,7 +1101,7 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { # use updated emissions to calculate emission factors based on activity data L112.nonco2_tg_R_en_S_F_Yh_resource %>% # Group by fuels here to get total value. We do this because, unconventional oil now is a technology within crude oil. - left_join_error_no_match(L111.Prod_EJ_R_F_Yh %>% group_by("GCAM_region_ID", "year","sector","fuel") %>% mutate(value = sum(value)) %>% ungroup() %>% select("GCAM_region_ID", "year","sector","fuel", "value") %>% distinct(), + left_join_error_no_match(L111.Prod_EJ_R_F_Yh %>% group_by(GCAM_region_ID, year,sector,fuel) %>% summarise(value = sum(value)) %>% ungroup() %>% select("GCAM_region_ID", "year","sector","fuel", "value") %>% distinct(), by = c("GCAM_region_ID", "year", "supplysector" = "sector", "subsector" = "fuel")) %>% mutate(value_adj = if_else(value == 0.0 | is.na(value), 0.0, emissions / value )) %>% select(-emissions, -value) -> From fb7c54dfe74703c527e0b96d8dd2f66a4168246d Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Fri, 9 Jul 2021 11:11:01 -0400 Subject: [PATCH 23/31] Fix bug where fgas emissions unit only got set from some years and not all (applicable) years resulting in inconsistent units reported to the database by year --- input/gcamdata/R/zchunk_L241.fgas.R | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/input/gcamdata/R/zchunk_L241.fgas.R b/input/gcamdata/R/zchunk_L241.fgas.R index daf7dd44da..044d142246 100644 --- a/input/gcamdata/R/zchunk_L241.fgas.R +++ b/input/gcamdata/R/zchunk_L241.fgas.R @@ -44,7 +44,8 @@ module_emissions_L241.fgas <- function(command, ...) { . <- `2010` <- `2020` <- `2030` <- EF <- Emissions <- GCAM_region_ID <- GDP <- Non.CO2 <- Ratio_2020 <- Ratio_2030 <- Scenario <- Species <- USA_factor <- Year <- curr_table <- emiss.coeff <- input.emissions <- region <- - stub.technology <- subsector <- supplysector <- value <- year <- NULL + stub.technology <- subsector <- supplysector <- value <- year <- + year_min <- NULL # =================================================== # Format and round emission values for HFC gas emissions for technologies in all regions. @@ -206,9 +207,17 @@ module_emissions_L241.fgas <- function(command, ...) { L241.pfc_all %>% bind_rows(L241.hfc_all) %>% bind_rows(L241.hfc_future) %>% + # we need to just add the unit tag for all gasses and model years + # however we need to be careful because some gasses do not start + # in the same year select(region, supplysector, subsector, stub.technology, year, Non.CO2) %>% - mutate(emissions.unit = emissions.F_GAS_UNITS) %>% - unique() -> + group_by(region, supplysector, subsector, stub.technology, Non.CO2) %>% + summarize(year_min = min(year)) %>% + ungroup() %>% + repeat_add_columns(tibble(year = MODEL_YEARS)) %>% + filter(year >= year_min) %>% + select(-year_min) %>% + mutate(emissions.unit = emissions.F_GAS_UNITS) -> L241.fgas_all_units # =================================================== From fa03489bf9c0cae6a4b2a0028177bd654a49726f Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Fri, 9 Jul 2021 12:51:41 -0400 Subject: [PATCH 24/31] Address PR comments including initialization of params in GHGPolicy and use solution floor instead of arbitrary hard coding it in the Preconditioner. To do this we have to make the solution floor available in SolutionInfo. --- cvs/objects/policy/source/policy_ghg.cpp | 6 +++--- cvs/objects/solution/solvers/source/preconditioner.cpp | 5 +++-- cvs/objects/solution/util/include/solution_info.h | 1 + cvs/objects/solution/util/source/solution_info.cpp | 4 ++++ 4 files changed, 11 insertions(+), 5 deletions(-) diff --git a/cvs/objects/policy/source/policy_ghg.cpp b/cvs/objects/policy/source/policy_ghg.cpp index 1ee4f34078..0138148900 100644 --- a/cvs/objects/policy/source/policy_ghg.cpp +++ b/cvs/objects/policy/source/policy_ghg.cpp @@ -79,13 +79,13 @@ mMarket(aMarket) /*! \brief Constructor used when explicitly constructing a fixed tax. */ GHGPolicy::GHGPolicy( const string aName, const string aMarket, - const vector& aTaxes ) + const vector& aTaxes ): +mName(aName), +mMarket(aMarket) { // Ensure that the taxes vector passed in is the right size. assert( aTaxes.size() == mConstraint.size() ); - mName = aName; - mMarket = aMarket; std::copy( aTaxes.begin(), aTaxes.end(), mFixedTax.begin() ); } diff --git a/cvs/objects/solution/solvers/source/preconditioner.cpp b/cvs/objects/solution/solvers/source/preconditioner.cpp index 0e19219e12..ed156d7d9d 100644 --- a/cvs/objects/solution/solvers/source/preconditioner.cpp +++ b/cvs/objects/solution/solvers/source/preconditioner.cpp @@ -221,7 +221,7 @@ SolverComponent::ReturnCode Preconditioner::solve( SolutionInfoSet& aSolutionSet double newprice = oldprice; bool chg = false; double lb,ub; // only used for normal markets, but need to be declared up here. - bool isSolved = solvable[i].getRelativeED() < mFTOL || fabs(solvable[i].getED()) < mFTOL; + bool isSolved = solvable[i].getRelativeED() < mFTOL || fabs(solvable[i].getED()) < mFTOL || solvable[i].isSolved(); if(pass > 0) { // If this market is close to solved update the "forecast" price and demand which @@ -243,10 +243,11 @@ SolverComponent::ReturnCode Preconditioner::solve( SolutionInfoSet& aSolutionSet fp = fd = newScale; } else if(isSolved && !(solvable[i].getType() == IMarketType::TAX || solvable[i].getType() == IMarketType::SUBSIDY)) { + double solutionFloor = solvable[i].getSolutionFloor(); // TODO: might want to add SolutionInfo::getSolutionFloor() and check that instead // the market is solved, in case it is solved to the solution floor don't let // NR make a big deal out of relative differences - double demandScale = abs(olddmnd) < 1e-5 || abs(oldsply) < 1e-5 ? 1.0 : olddmnd; + double demandScale = abs(olddmnd) < solutionFloor || abs(oldsply) < solutionFloor ? 1.0 : olddmnd; solvable[i].setForecastPrice(oldprice); solvable[i].setForecastDemand(demandScale); fp = oldprice; diff --git a/cvs/objects/solution/util/include/solution_info.h b/cvs/objects/solution/util/include/solution_info.h index b454d05049..7bd5f07ec9 100644 --- a/cvs/objects/solution/util/include/solution_info.h +++ b/cvs/objects/solution/util/include/solution_info.h @@ -105,6 +105,7 @@ class SolutionInfo { double getED() const; double getEDLeft() const; double getEDRight() const; + double getSolutionFloor() const; void expandBracket( const double aAdjFactor ); double getRelativeED() const; bool isWithinTolerance() const; diff --git a/cvs/objects/solution/util/source/solution_info.cpp b/cvs/objects/solution/util/source/solution_info.cpp index eae171a122..b925cede07 100644 --- a/cvs/objects/solution/util/source/solution_info.cpp +++ b/cvs/objects/solution/util/source/solution_info.cpp @@ -227,6 +227,10 @@ double SolutionInfo::getEDRight() const { return EDR; } +double SolutionInfo::getSolutionFloor() const { + return mSolutionFloor; +} + /*! \brief Return the name of the SolutionInfo object. * \author Josh Lurz * \return The name of the market the SolutionInfo is connected to. From 6a0c6367e873d06178d4663acf89a6a43889b9ee Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Fri, 9 Jul 2021 15:48:00 -0400 Subject: [PATCH 25/31] Address comments on zchunk_L112.ceds_ghg_en_R_S_T_Y.R --- input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R index 6b1a65c082..3f680ea2b2 100644 --- a/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R +++ b/input/gcamdata/R/zchunk_L112.ceds_ghg_en_R_S_T_Y.R @@ -1102,8 +1102,13 @@ module_emissions_L112.ceds_ghg_en_R_S_T_Y <- function(command, ...) { # use updated emissions to calculate emission factors based on activity data L112.nonco2_tg_R_en_S_F_Yh_resource %>% # Group by fuels here to get total value. We do this because, unconventional oil now is a technology within crude oil. - left_join_error_no_match(L111.Prod_EJ_R_F_Yh %>% group_by(GCAM_region_ID, year,sector,fuel) %>% summarise(value = sum(value)) %>% ungroup() %>% select("GCAM_region_ID", "year","sector","fuel", "value") %>% distinct(), - by = c("GCAM_region_ID", "year", "supplysector" = "sector", "subsector" = "fuel")) %>% + left_join_error_no_match(L111.Prod_EJ_R_F_Yh %>% + group_by(GCAM_region_ID, year,sector,fuel) %>% + summarise(value = sum(value)) %>% + ungroup() %>% + select(GCAM_region_ID, year,sector,fuel, value) %>% + distinct(), + by = c("GCAM_region_ID", "year", "supplysector" = "sector", "subsector" = "fuel")) %>% mutate(value_adj = if_else(value == 0.0 | is.na(value), 0.0, emissions / value )) %>% select(-emissions, -value) -> L112.ghg_tgej_R_en_S_F_Yh_adj From 226ce42e051b2a5bfecc8f4668f1aa79c3335a9e Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Sun, 11 Jul 2021 00:34:37 -0400 Subject: [PATCH 26/31] Remove TODO in comments now that we added SolutionInfo::getSolutionFloor --- cvs/objects/solution/solvers/source/preconditioner.cpp | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/cvs/objects/solution/solvers/source/preconditioner.cpp b/cvs/objects/solution/solvers/source/preconditioner.cpp index ed156d7d9d..99b90eb8d3 100644 --- a/cvs/objects/solution/solvers/source/preconditioner.cpp +++ b/cvs/objects/solution/solvers/source/preconditioner.cpp @@ -244,9 +244,8 @@ SolverComponent::ReturnCode Preconditioner::solve( SolutionInfoSet& aSolutionSet } else if(isSolved && !(solvable[i].getType() == IMarketType::TAX || solvable[i].getType() == IMarketType::SUBSIDY)) { double solutionFloor = solvable[i].getSolutionFloor(); - // TODO: might want to add SolutionInfo::getSolutionFloor() and check that instead - // the market is solved, in case it is solved to the solution floor don't let - // NR make a big deal out of relative differences + // Check if the market is solved to the solution floor in which case don't let + // NR make a big deal out of relative differences by reseting the demand scale to 1 double demandScale = abs(olddmnd) < solutionFloor || abs(oldsply) < solutionFloor ? 1.0 : olddmnd; solvable[i].setForecastPrice(oldprice); solvable[i].setForecastDemand(demandScale); From 5e693876e621f6452f203d135892afdb909a5567 Mon Sep 17 00:00:00 2001 From: Pralit Patel Date: Sun, 11 Jul 2021 01:08:08 -0400 Subject: [PATCH 27/31] One last rebuild of package data and fix some errors / warnings after CEDS update --- .../R/zchunk_L102.nonco2_ceds_R_S_Y.R | 3 ++- input/gcamdata/data/GCAM_DATA_MAP.rda | Bin 115813 -> 118618 bytes input/gcamdata/data/PREBUILT_DATA.rda | Bin 7034296 -> 7034379 bytes 3 files changed, 2 insertions(+), 1 deletion(-) diff --git a/input/gcamdata/R/zchunk_L102.nonco2_ceds_R_S_Y.R b/input/gcamdata/R/zchunk_L102.nonco2_ceds_R_S_Y.R index 65e1de5594..fb5995be7b 100644 --- a/input/gcamdata/R/zchunk_L102.nonco2_ceds_R_S_Y.R +++ b/input/gcamdata/R/zchunk_L102.nonco2_ceds_R_S_Y.R @@ -106,7 +106,7 @@ module_emissions_L102.nonco2_ceds_R_S_Y <- function(command, ...) { CEDS_N2O$Non.CO2 <- "N2O" # Prepare unmanaged forest emissions from CMIP to be combined with CEDS data set CMIP_unmgd_emissions %>% - filter(iso %notin% c(emissions.GFED_NODATA)) %>% + filter(!iso %in% c(emissions.GFED_NODATA)) %>% distinct() %>% left_join(CMIP_sector_map, by = c("sector" = "LULUC_sector_abr")) %>% na.omit() %>% @@ -185,6 +185,7 @@ module_emissions_L102.nonco2_ceds_R_S_Y <- function(command, ...) { CEDS_int_shipping %>% add_title("CEDS international shipping non-CO2 emissions by CEDS sector / fuel / historical year",overwrite = TRUE) %>% + add_comments("CEDS international shipping non-CO2 emissions by CEDS sector / fuel / historical year") %>% add_units("Tg") %>% add_precursors("emissions/CEDS/BC_total_CEDS_emissions","emissions/CEDS/OC_total_CEDS_emissions","emissions/CEDS/CO_total_CEDS_emissions", 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