D-PLACE: Difference between revisions
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|ModelLink=https://climatecake.ios.edu.pl/wp-content/uploads/2022/03/CAKE_d-PLACE_v.2_d-place-model_documentation.pdf | |ModelLink=https://climatecake.ios.edu.pl/wp-content/uploads/2022/03/CAKE_d-PLACE_v.2_d-place-model_documentation.pdf | ||
|participation=reference card only | |participation=reference card only | ||
|processState= | |processState=published | ||
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{{InstitutionTemplate | {{InstitutionTemplate | ||
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|country=Poland | |country=Poland | ||
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{{ScopeMethodTemplate}} | {{ScopeMethodTemplate | ||
{{Socio-economicTemplate}} | |ModelTypeOption=CGE | ||
{{Macro-economyTemplate}} | |GeographicalScopeOption=Global | ||
{{EnergyTemplate}} | |Objective=d-PLACE is a recursive-dynamic CGE model developed to analyse the economic impact of EU climate and energy policy, including carbon pricing, EU ETS design, and decarbonisation pathways to 2050. | ||
{{Land-useTemplate}} | |SolutionConceptOption=General equilibrium (closed economy) | ||
{{EmissionClimateTemplate}} | |SolutionHorizonOption=Recursive dynamic (myopic) | ||
|SolutionMethodOption=Simulation | |||
|Anticipation=d-PLACE uses myopic (static) expectations. Economic agents do not anticipate future prices, policies, or technological change — investment and consumption decisions in each period are based only on current-period price signals, consistent with the model's recursive-dynamic solution method. | |||
|BaseYear=2014 | |||
|TimeSteps=5-year (default), 1-year (optional) | |||
|Horizon=2050 | |||
|Nr=19 (9 EU + 10 non-EU) | |||
|Region=Benelux countries (Belgium, the Netherlands, Luxembourg); France; Central Europe (Austria, Czech Republic, Hungary, Slovakia, Slovenia); Germany; Iberia (Spain, Portugal) and Italian Republic; Nordics and Baltics (Denmark, Sweden, Finland, Republic of Lithuania, Republic of Latvia, Republic of Estonia); Republic of Poland; South-eastern Europe (Croatia, Greece, Republic of Cyprus, Malta, Romania, Bulgaria); United Kingdom and Ireland; EFTA countries involved in EU ETS (Kingdom of Norway, Principality of Liechtenstein, Republic of Iceland); Commonwealth of Australia and New Zealand; Federative Republic of Brazil; People's Republic of China; Republic of India; Japan; Russian Federation; United States of America and Canada; OPEC countries; Rest of the world | |||
|PoliciesOption=Emission tax; Emission pricing; Cap and trade | |||
}} | |||
{{Socio-economicTemplate | |||
|PopulationOption=Yes (exogenous) | |||
|EducationLevelOption=Yes (exogenous) | |||
|GDPOption=Yes (exogenous) | |||
|LaborProductivityOption=Yes (exogenous) | |||
}} | |||
{{Macro-economyTemplate | |||
|TradeOption=Oil; Coal; Gas; Electricity; Food crops; Emissions permits; Non-energy goods | |||
|CostMeasureOption=GDP loss; Welfare loss; Consumption loss | |||
|CategorizationByGroup=one representative household per region — no disaggregation | |||
|InstitutionalAndPoliticalFactorsOption=Constraints on cross country financial transfers | |||
|CoalRUOption=Yes (supply curve) | |||
|ConventionalOilRUOption=Yes (supply curve) | |||
|ConventionalGasRUOption=Yes (supply curve) | |||
|IndustryESOption=Yes (economic) | |||
|EnergyESOption=Yes (economic) | |||
|TransportationESOption=Yes (economic) | |||
|ResidentialAndCommercialESOption=Yes (economic) | |||
|AgricultureESOption=Yes (economic) | |||
|ForestryESOption=Yes (economic) | |||
|EnergyConversionTechnologyTCOption=Exogenous technological change | |||
|EnergyEnd-useTCOption=Exogenous technological change | |||
|MaterialUseTCOption=No technological change | |||
|AgricultureTCOption=Exogenous technological change | |||
}} | |||
{{EnergyTemplate | |||
|Behaviour=Detailed representation of electricity and district heating generation technologies (by fuel/source, e.g. coal, gas, renewables, nuclear) is not native to d-PLACE — it is provided through the optional link with MEESA (Model for European Energy System Analysis), a bottom-up energy system model covering electricity generation and district heating in the EU. Standalone d-PLACE represents electricity generation only as a single aggregate sector ('Ele'), with technology mix implicit in the sector's capital intensity. | |||
|EnergyTechnologyChoiceOption=Linear choice (lowest cost) | |||
|EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability | |||
|EnergyTechnologyDeploymentOption=Expansion and decline constraints | |||
|PassengerTransportationOption=Electric LDVs; Hydrogen LDVs; Gasoline LDVs | |||
|PassengerTransportationText=d-PLACE natively distinguishes only 3 transport fuel technologies (oil, electric, hydrogen) at an aggregate level. Detailed vehicle-type and mode-specific technology data (buses, trains, aviation, HDVs) is provided through the linked sectoral model TR3E. | |||
|FreightTransportationText=Freight transport is represented only as an aggregate sector in d-PLACE. Detailed freight technology and mode data (ships, trains, heavy duty vehicles incl. electric/hydrogen variants, domestic/international) is provided through the linked sectoral model TR3E. | |||
|IndustryOption=Steel production; Aluminium production; Cement production; Petrochemical production | |||
|IndustryText=CCS/CCU is modeled in exactly 5 sectors: oil refining, cement/non-metallic minerals, iron & steel, chemicals, and non-ferrous metals (mapped here to "Aluminium production" as the closest available category). Pulp and paper production are not covered by CCS/CCU in d-PLACE. | |||
|ResidentialAndCommercialText=Household energy consumption is modeled as an aggregate bundle in d-PLACE, without disaggregation by end use (heating, cooling, cooking, lighting). | |||
}} | |||
{{Land-useTemplate | |||
|LandCoverText=d-PLACE does not include a native land-use module. Detailed land cover, agricultural/forestry demand, and crop-level dynamics are represented in the linked sectoral model EPICA (agriculture and land-use), which exchanges data with d-PLACE. | |||
|AgricultureAndForestryDemandsText=Not modeled in d-PLACE — handled by linked model EPICA. | |||
|AgriculturalCommoditiesText=Not modeled in d-PLACE — handled by linked model EPICA. | |||
}} | |||
{{EmissionClimateTemplate | |||
|GHGOption=CO2 fossil fuels; CO2 cement; CH4 energy; CH4 other; N2O energy; HFCs | |||
|CarbonDioxideRemovalText=Bioenergy with CCS is not modeled natively in d-PLACE, but negative emissions from BECCS are exchanged as input data through the link with the sectoral model MEESA. | |||
|Co-LinkagesOption=Energy security: Fossil fuel imports & exports (region); Energy access: Household energy consumption | |||
|Co-LinkagesText=d-PLACE is linked with three bottom-up sectoral models — MEESA (electricity and heat generation technologies), TR3E (transport technologies and vehicle fleet), and EPICA (agriculture and land-use) — which supply detailed technical results that d-PLACE does not model natively. | |||
}} | |||
Latest revision as of 07:00, 4 August 2026
The reference card is a clearly defined description of model features. The numerous options have been organized into a limited amount of default and model specific (non default) options. In addition some features are described by a short clarifying text.
Legend:
- not implemented
- implemented
- implemented (not default option)
A page refresh may be needed after modifying data.
About
Name and version
d-PLACE 2.0
Institution
Centre for Climate and Energy Analysis (CAKE), Poland, https://climatecake.ios.edu.pl/?lang=en.
Documentation
D-PLACE documentation is limited and consists of a reference card
Process state
published
Model scope and methods
Model type
- Integrated assessment model
- Energy system model
- CGE
- CBA-integrated assessment model
Geographical scope
- Global
- Regional
Objective
d-PLACE is a recursive-dynamic CGE model developed to analyse the economic impact of EU climate and energy policy, including carbon pricing, EU ETS design, and decarbonisation pathways to 2050.
Solution concept
- Partial equilibrium (price elastic demand)
- Partial equilibrium (fixed demand)
- General equilibrium (closed economy)
Solution horizon
- Recursive dynamic (myopic)
- Intertemporal optimization (foresight)
Solution method
- Simulation
- Optimization
Anticipation
d-PLACE uses myopic (static) expectations. Economic agents do not anticipate future prices, policies, or technological change — investment and consumption decisions in each period are based only on current-period price signals, consistent with the model's recursive-dynamic solution method.
Temporal dimension
Base year:2014, time steps:5-year (default), 1-year (optional), horizon: 2050
Spatial dimension
Number of regions:19 (9 EU + 10 non-EU)
- Benelux countries (Belgium, the Netherlands, Luxembourg)
- France
- Central Europe (Austria, Czech Republic, Hungary, Slovakia, Slovenia)
- Germany
- Iberia (Spain, Portugal) and Italian Republic
- Nordics and Baltics (Denmark, Sweden, Finland, Republic of Lithuania, Republic of Latvia, Republic of Estonia)
- Republic of Poland
- South-eastern Europe (Croatia, Greece, Republic of Cyprus, Malta, Romania, Bulgaria)
- United Kingdom and Ireland
- EFTA countries involved in EU ETS (Kingdom of Norway, Principality of Liechtenstein, Republic of Iceland)
- Commonwealth of Australia and New Zealand
- Federative Republic of Brazil
- People's Republic of China
- Republic of India
- Japan
- Russian Federation
- United States of America and Canada
- OPEC countries
- Rest of the world
Time discounting type
- Discount rate exogenous
- Discount rate endogenous
Policies
- Emission tax
- Emission pricing
- Cap and trade
- Fuel taxes
- 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
Socio-economic drivers
Population
- Yes (exogenous)
- Yes (endogenous)
Population age structure
- Yes (exogenous)
- Yes (endogenous)
Education level
- Yes (exogenous)
- Yes (endogenous)
Urbanization rate
- Yes (exogenous)
- Yes (endogenous)
GDP
- Yes (exogenous)
- Yes (endogenous)
Income distribution
- Yes (exogenous)
- Yes (endogenous)
Employment rate
- Yes (exogenous)
- Yes (endogenous)
Labor productivity
- Yes (exogenous)
- Yes (endogenous)
Total factor productivity
- Yes (exogenous)
- Yes (endogenous)
Autonomous energy efficiency improvements
- Yes (exogenous)
- Yes (endogenous)
Macro-economy
Economic sector
Industry
- Yes (physical)
- Yes (economic)
- Yes (physical & economic)
Energy
- Yes (physical)
- Yes (economic)
- Yes (physical & economic)
Transportation
- Yes (physical)
- Yes (economic)
- Yes (physical & economic)
Residential and commercial
- Yes (physical)
- Yes (economic)
- Yes (physical & economic)
Agriculture
- Yes (physical)
- Yes (economic)
- Yes (physical & economic)
Forestry
- Yes (physical)
- Yes (economic)
- Yes (physical & economic)
Macro-economy
Trade
- Coal
- Oil
- Gas
- Uranium
- Electricity
- Bioenergy crops
- Food crops
- Capital
- Emissions permits
- Non-energy goods
Cost measures
- GDP loss
- Welfare loss
- Consumption loss
- Area under MAC
- Energy system cost mark-up
Categorization by group
- Income
- Urban - rural
- Technology adoption
- Age
- Gender
- Education level
- Household size
- one representative household per region — no disaggregation
Institutional and political factors
- Early retirement of capital allowed
- Interest rates differentiated by country/region
- Regional risk factors included
- Technology costs differentiated by country/region
- Technological change differentiated by country/region
- Behavioural change differentiated by country/region
- Constraints on cross country financial transfers
Resource use
Coal
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Conventional Oil
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Unconventional Oil
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Conventional Gas
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Unconventional Gas
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Uranium
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Bioenergy
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Water
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Raw Materials
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Land
- Yes (fixed)
- Yes (supply curve)
- Yes (process model)
Technological change
Energy conversion technologies
- No technological change
- Exogenous technological change
- Endogenous technological change
Energy End-use
- No technological change
- Exogenous technological change
- Endogenous technological change
Material Use
- No technological change
- Exogenous technological change
- Endogenous technological change
Agriculture (tc)
- No technological change
- Exogenous technological change
- Endogenous technological change
Energy
Behaviour
Detailed representation of electricity and district heating generation technologies (by fuel/source, e.g. coal, gas, renewables, nuclear) is not native to d-PLACE — it is provided through the optional link with MEESA (Model for European Energy System Analysis), a bottom-up energy system model covering electricity generation and district heating in the EU. Standalone d-PLACE represents electricity generation only as a single aggregate sector ('Ele'), with technology mix implicit in the sector's capital intensity.
Energy technology substitution
Energy technology choice
- No discrete technology choices
- Logit choice model
- Production function
- Linear choice (lowest cost)
- Lowest cost with adjustment penalties
Energy technology substitutability
- Mostly high substitutability
- Mostly low substitutability
- Mixed high and low substitutability
Energy technology deployment
- Expansion and decline constraints
- System integration constraints
Energy
Electricity technologies
- Coal w/o CCS
- Coal w/ CCS
- Gas w/o CCS
- Gas w/ 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-distributed PV
- Solar power-CSP
- Wind power
- Wind power-onshore
- Wind power-offshore
- Hydroelectric power
- Ocean power
Hydrogen production
- Coal to hydrogen w/o CCS
- Coal to hydrogen w/ CCS
- Natural gas to hydrogen w/o CCS
- Natural gas to hydrogen w/ CCS
- Oil to hydrogen w/o CCS
- Oil to hydrogen w/ CCS
- Biomass to hydrogen w/o CCS
- Biomass to hydrogen w/ CCS
- Nuclear thermochemical hydrogen
- Solar thermochemical hydrogen
- Electrolysis
Refined liquids
- 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
- Oil refining
Refined gases
- Coal to gas w/o CCS
- Coal to gas w/ CCS
- Oil to gas w/o CCS
- Oil to gas w/ CCS
- Biomass to gas w/o CCS
- Biomass to gas w/ CCS
Heat generation
- Coal heat
- Natural gas heat
- Oil heat
- Biomass heat
- Geothermal heat
- Solarthermal heat
- CHP (coupled heat and power)
Grid Infra Structure
Electricity
- Yes (aggregate)
- Yes (spatially explicit)
Gas
- Yes (aggregate)
- Yes (spatially explicit)
Heat
- Yes (aggregate)
- Yes (spatially explicit)
CO2
- Yes (aggregate)
- Yes (spatially explicit)
Hydrogen
- Yes (aggregate)
- Yes (spatially explicit)
Energy end-use technologies
Passenger transportation
- Passenger trains
- Buses
- Light Duty Vehicles (LDVs)
- Electric LDVs
- Hydrogen LDVs
- Hybrid LDVs
- Gasoline LDVs
- Diesel LDVs
- Passenger aircrafts
Freight transportation
- Freight trains
- Heavy duty vehicles
- Freight aircrafts
- Freight ships
Note: Freight transport is represented only as an aggregate sector in d-PLACE. Detailed freight technology and mode data (ships, trains, heavy duty vehicles incl. electric/hydrogen variants, domestic/international) is provided through the linked sectoral model TR3E.
Industry
- Steel production
- Aluminium production
- Cement production
- Petrochemical production
- Paper production
- Plastics production
- Pulp production
Note: CCS/CCU is modeled in exactly 5 sectors: oil refining, cement/non-metallic minerals, iron & steel, chemicals, and non-ferrous metals (mapped here to "Aluminium production" as the closest available category). Pulp and paper production are not covered by CCS/CCU in d-PLACE.
Residential and commercial
- Space heating
- Space cooling
- Cooking
- Refrigeration
- Washing
- Lighting
Note: Household energy consumption is modeled as an aggregate bundle in d-PLACE, without disaggregation by end use (heating, cooling, cooking, lighting).
Land-use
Land cover
- Cropland
- Cropland irrigated
- Cropland food crops
- Cropland feed crops
- Cropland energy crops
- Forest
- Managed forest
- Natural forest
- Pasture
- Shrubland
- Built-up area
Note: d-PLACE does not include a native land-use module. Detailed land cover, agricultural/forestry demand, and crop-level dynamics are represented in the linked sectoral model EPICA (agriculture and land-use), which exchanges data with d-PLACE.
Agriculture and forestry demands
- 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 fuelwood
- Forest residues
Note: Not modeled in d-PLACE — handled by linked model EPICA.
Agricultural commodities
- Wheat
- Rice
- Other coarse grains
- Oilseeds
- Sugar crops
- Ruminant meat
- Non-ruminant meat and eggs
- Dairy products
Note: Not modeled in d-PLACE — handled by linked model EPICA.
Emission, climate and impacts
Greenhouse gases
- CO2 fossil fuels
- CO2 cement
- CO2 land use
- CH4 energy
- CH4 land use
- CH4 other
- N2O energy
- N2O land use
- N2O other
- CFCs
- HFCs
- SF6
- PFCs
Pollutants
- CO energy
- CO land use
- CO other
- 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
Climate indicators
- 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
- Sea level rise
- Ocean acidification
Carbon dioxide removal
- Bioenergy with CCS
- Reforestation
- Afforestation
- Soil carbon enhancement
- Direct air capture
- Enhanced weathering
Note: Bioenergy with CCS is not modeled natively in d-PLACE, but negative emissions from BECCS are exchanged as input data through the link with the sectoral model MEESA.
Climate change impacts
- Agriculture
- Energy supply
- Energy demand
- Economic output
- Built capital
- Inequality
Co-Linkages
- Energy security: Fossil fuel imports & exports (region)
- Energy access: Household energy consumption
- Air pollution & health: Source-based aerosol emissions
- Air pollution & health: Health impacts of air Pollution
- Food access
- Water availability
- Biodiversity
Note: d-PLACE is linked with three bottom-up sectoral models — MEESA (electricity and heat generation technologies), TR3E (transport technologies and vehicle fleet), and EPICA (agriculture and land-use) — which supply detailed technical results that d-PLACE does not model natively.
Note: d-PLACE natively distinguishes only 3 transport fuel technologies (oil, electric, hydrogen) at an aggregate level. Detailed vehicle-type and mode-specific technology data (buses, trains, aviation, HDVs) is provided through the linked sectoral model TR3E.