https://www.iamcdocumentation.eu/api.php?action=feedcontributions&feedformat=atom&user=Aman+Malik 2026-07-05T09:34:43Z User contributions MediaWiki 1.39.15 https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16631 2025-10-03T11:17:58Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-CEEW<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001; https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=published<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-CEEW is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM CEEW version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> <br /> Data on costs of technologies, fuel prices, and energy data have been taken from Indian government databases as well as India-specific relevant surveys done by various organisations. Energy-related data is taken from IEA as well as India-specific sources.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate<br /> |LandCoverOption=Forest; Cropland; Cropland irrigated; Cropland food crops; Cropland feed crops; Cropland energy crops; Managed forest; Natural forest; Pasture; Shrubland; Built-up area<br /> |AgricultureAndForestryDemandsOption=Forest fuelwood; Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture feed; Agriculture feed crops; Agriculture feed livestock; Agriculture non-food; Agriculture non-food crops; Agriculture non-food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues<br /> |AgriculturalCommoditiesOption=Rice; Wheat; Other coarse grains; Oilseeds; Sugar crops; Ruminant meat; Non-ruminant meat and eggs; Dairy products<br /> }}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> |Co-LinkagesOption=Energy security: Fossil fuel imports &amp; exports (region); Water availability<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16630 2025-10-03T11:16:49Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-CEEW<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001; https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=published<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> <br /> Data on costs of technologies, fuel prices, and energy data have been taken from Indian government databases as well as India-specific relevant surveys done by various organisations. Energy-related data is taken from IEA as well as India-specific sources.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate<br /> |LandCoverOption=Forest; Cropland; Cropland irrigated; Cropland food crops; Cropland feed crops; Cropland energy crops; Managed forest; Natural forest; Pasture; Shrubland; Built-up area<br /> |AgricultureAndForestryDemandsOption=Forest fuelwood; Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture feed; Agriculture feed crops; Agriculture feed livestock; Agriculture non-food; Agriculture non-food crops; Agriculture non-food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues<br /> |AgriculturalCommoditiesOption=Rice; Wheat; Other coarse grains; Oilseeds; Sugar crops; Ruminant meat; Non-ruminant meat and eggs; Dairy products<br /> }}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> |Co-LinkagesOption=Energy security: Fossil fuel imports &amp; exports (region); Water availability<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16627 2025-09-19T05:29:01Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001; https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> <br /> Data on costs of technologies, fuel prices, and energy data have been taken from Indian government databases as well as India-specific relevant surveys done by various organisations. Energy-related data is taken from IEA as well as India-specific sources.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate<br /> |LandCoverOption=Forest; Cropland; Cropland irrigated; Cropland food crops; Cropland feed crops; Cropland energy crops; Managed forest; Natural forest; Pasture; Shrubland; Built-up area<br /> |AgricultureAndForestryDemandsOption=Forest fuelwood; Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture feed; Agriculture feed crops; Agriculture feed livestock; Agriculture non-food; Agriculture non-food crops; Agriculture non-food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues<br /> |AgriculturalCommoditiesOption=Rice; Wheat; Other coarse grains; Oilseeds; Sugar crops; Ruminant meat; Non-ruminant meat and eggs; Dairy products<br /> }}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> |Co-LinkagesOption=Energy security: Fossil fuel imports &amp; exports (region); Water availability<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16626 2025-09-19T04:57:57Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001; https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> <br /> Data on costs of technologies, fuel prices, and energy data have been taken from Indian government databases as well as India-specific relevant surveys done by various organisations.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate<br /> |LandCoverOption=Forest; Cropland; Cropland irrigated; Cropland food crops; Cropland feed crops; Cropland energy crops; Managed forest; Natural forest; Pasture; Shrubland; Built-up area<br /> |AgricultureAndForestryDemandsOption=Forest fuelwood; Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture feed; Agriculture feed crops; Agriculture feed livestock; Agriculture non-food; Agriculture non-food crops; Agriculture non-food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues<br /> |AgriculturalCommoditiesOption=Rice; Wheat; Other coarse grains; Oilseeds; Sugar crops; Ruminant meat; Non-ruminant meat and eggs; Dairy products<br /> }}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> |Co-LinkagesOption=Energy security: Fossil fuel imports &amp; exports (region); Water availability<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16625 2025-09-11T05:15:37Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001; https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate<br /> |LandCoverOption=Forest; Cropland; Cropland irrigated; Cropland food crops; Cropland feed crops; Cropland energy crops; Managed forest; Natural forest; Pasture; Shrubland; Built-up area<br /> |AgricultureAndForestryDemandsOption=Forest fuelwood; Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture feed; Agriculture feed crops; Agriculture feed livestock; Agriculture non-food; Agriculture non-food crops; Agriculture non-food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues<br /> |AgriculturalCommoditiesOption=Rice; Wheat; Other coarse grains; Oilseeds; Sugar crops; Ruminant meat; Non-ruminant meat and eggs; Dairy products<br /> }}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> |Co-LinkagesOption=Energy security: Fossil fuel imports &amp; exports (region); Water availability<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16624 2025-09-11T05:01:17Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001; https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> |Co-LinkagesOption=Energy security: Fossil fuel imports &amp; exports (region); Water availability<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16623 2025-09-11T05:00:14Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> |Co-LinkagesOption=Energy security: Fossil fuel imports &amp; exports (region); Water availability<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16622 2025-09-10T11:11:43Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2010<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16621 2025-09-10T11:11:09Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate<br /> |GHGOption=SF6; CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; CH4 other; N2O energy; N2O land use; N2O other; CFCs; HFCs; PFCs<br /> |PollutantOption=CO other; CO energy; CO land use; NOx energy; NOx land use; NOx other; VOC energy; VOC land use; VOC other; SO2 energy; SO2 land use; SO2 other; BC energy; BC land use; BC other; OC energy; OC land use; OC other; NH3 energy; NH3 land use; NH3 other<br /> |ClimateIndicatorOption=Sea level rise; Concentration: CO2; Concentration: CH4; Concentration: N2O; Concentration: Kyoto gases; Radiative forcing: CO2; Radiative forcing: CH4; Radiative forcing: N2O; Radiative forcing: F-gases; Radiative forcing: Kyoto gases; Radiative forcing: aerosols; Radiative forcing: land albedo; Radiative forcing: AN3A; Radiative forcing: total; Temperature change; Ocean acidification<br /> |CarbonDioxideRemovalOption=Bioenergy with CCS; Afforestation<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16620 2025-09-10T10:58:01Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate<br /> |EnergyTechnologyChoiceOption=Logit choice model<br /> |EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability<br /> |EnergyTechnologyDeploymentOption=System integration constraints<br /> |ElectricityTechnologyOption=Gas w/ CCS; Coal w/o CCS; Coal w/ CCS; Gas w/o CCS; Oil w/o CCS; Oil w/ CCS; Bioenergy w/o CCS; Bioenergy w/ CCS; Geothermal power; Nuclear power; Solar power; Solar power-central PV; Solar power-CSP; Wind power; Wind power-onshore; Wind power-offshore; Hydroelectric power<br /> |HydrogenProductionOption=Electrolysis; Coal to hydrogen w/o CCS; Coal to hydrogen w/ CCS; Natural gas to hydrogen w/o CCS; Natural gas to hydrogen w/ CCS; Biomass to hydrogen w/o CCS; Biomass to hydrogen w/ CCS; Nuclear thermochemical hydrogen<br /> |RefinedLiquidsOption=Oil refining; Coal to liquids w/o CCS; Coal to liquids w/ CCS; Gas to liquids w/o CCS; Gas to liquids w/ CCS; Bioliquids w/o CCS; Bioliquids w/ CCS<br /> |RefinedGasesOption=Coal to gas w/o CCS; Biomass to gas w/o CCS<br /> |HeatGenerationOption=CHP (coupled heat and power)<br /> |ElectricityGIOption=Yes (aggregate)<br /> |GasGIOption=Yes (aggregate)<br /> |HeatGIOption=Yes (aggregate)<br /> |CO2GIOption=Yes (aggregate)<br /> |HydrogenGIOption=Yes (aggregate)<br /> |PassengerTransportationOption=Buses; Passenger trains; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts<br /> |PassengerTransportation=Electric Three-wheelers; Gasoline Three-Wheelers; Gasoline Two-wheelers; CNG Three-wheelers; CNG Buses; Electric Two-wheelers; Electric Buses<br /> |FreightTransportationOption=Freight ships; Freight trains; Heavy duty vehicles; Freight aircrafts<br /> |FreightTransportation=Fuel-cell HDVs<br /> |IndustryOption=Cement production<br /> |Industry=Aggregate industry technologies corresponding to boilers/fuels<br /> |ResidentialAndCommercialOption=Cooking; Space heating; Space cooling; Lighting<br /> |ResidentialAndCommercial=Appliance<br /> }}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16619 2025-09-10T10:23:10Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate<br /> |TradeOption=Oil; Coal; Gas; Uranium; Electricity; Bioenergy crops; Food crops; Emissions permits<br /> |CostMeasureOption=Area under MAC<br /> |CategorizationByGroupOption=Urban - rural<br /> |InstitutionalAndPoliticalFactorsOption=Early retirement of capital allowed; Technology costs differentiated by country/region; Technological change differentiated by country/region<br /> |CoalRUOption=Yes (process model)<br /> |ConventionalOilRUOption=Yes (process model)<br /> |UnconventionalOilRUOption=Yes (process model)<br /> |ConventionalGasRUOption=Yes (process model)<br /> |UnconventionalGasRUOption=Yes (process model)<br /> |UraniumRUOption=Yes (process model)<br /> |BioenergyRUOption=Yes (process model)<br /> |WaterRUOption=Yes (process model)<br /> |RawMaterialsRUOption=Yes (process model)<br /> |LandRUOption=Yes (process model)<br /> |IndustryESOption=Yes (physical &amp; economic)<br /> |EnergyESOption=Yes (physical &amp; economic)<br /> |TransportationESOption=Yes (physical &amp; economic)<br /> |ResidentialAndCommercialESOption=Yes (physical &amp; economic)<br /> |AgricultureESOption=Yes (physical &amp; economic)<br /> |ForestryESOption=Yes (physical &amp; economic)<br /> |EnergyConversionTechnologyTCOption=Exogenous technological change<br /> |EnergyEnd-useTCOption=Exogenous technological change<br /> |MaterialUseTCOption=Exogenous technological change<br /> |AgricultureTCOption=Exogenous technological change<br /> }}<br /> {{EnergyTemplate}}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16618 2025-09-10T10:18:57Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate}}<br /> {{EnergyTemplate}}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16617 2025-09-10T10:17:54Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.The GCAM India version disaggregates the residential sector into rural and urban to better represent the Indian scenario. It further separates electricity for commercial and residential use.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate}}<br /> {{Macro-economyTemplate}}<br /> {{EnergyTemplate}}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16616 2025-09-10T10:14:41Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-India is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of GCAM v5.2.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionConcept=GCAM solves all energy, water, and land markets simultaneously<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year (default)<br /> |Horizon=2100<br /> |Nr=32<br /> |Region=USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Carribean; Colombia; South America_Northern; South America_southern; Saudi Arabia<br /> |PoliciesOption=Fuel taxes; Emission tax; Emission pricing; Cap and trade; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate}}<br /> {{Macro-economyTemplate}}<br /> {{EnergyTemplate}}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}</div>

Aman Malik https://www.iamcdocumentation.eu/index.php?title=GCAM-India&diff=16615 2025-09-10T10:03:30Z

<p>Aman Malik: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-India<br /> |Version=v5.2<br /> |ModelLink=https://doi.org/10.1093/oxfclm/kgac001,https://linkinghub.elsevier.com/retrieve/pii/S2666278725000194<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{InstitutionTemplate<br /> |abbr=CEEW<br /> |institution=Council on Energy, Environment and Water<br /> |link=https://www.ceew.in/<br /> |country=India<br /> }}<br /> {{ScopeMethodTemplate}}<br /> {{Socio-economicTemplate}}<br /> {{Macro-economyTemplate}}<br /> {{EnergyTemplate}}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}</div>

Aman Malik