Snapshot of - GRACE
Archive of GRACE, version: 2018
Reference card - GRACE
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)
About
Name and version
GRACE 2018
Institution
Center for International Climate Research (CICERO), Norway, https://cicero.oslo.no/en.
Documentation
GRACE documentation consists of a referencecard and detailed model documentation
Process state
under review
Model scope and methods
Model documentation: Model scope and methods - GRACE
Model type
- Integrated assessment model
- Energy system model
- CGE
- CBA-integrated assessment model
Geographical scope
- Global
- Regional
Objective
The model aims primarily to estimating how economic indicators defined in the national accounts interact with climate-related factors. for example, climate policies are represented by e.g. quotas or taxes on emissions, to show the economic consequences in world regions under projections.
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
- Recursive dynamic solution method
Temporal dimension
Base year:2014, time steps:yearly, horizon:
Spatial dimension
Number of regions:up to 140.
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
- Adaptation, climate change impact
Socio-economic drivers
Model documentation: Socio-economic drivers - GRACE
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
Model documentation: Macro-economy - GRACE
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)
Other economic sector
- Services (economic)
Macro-economy
Trade
- Coal
- Oil
- Gas
- Uranium
- Electricity
- Bioenergy crops
- Food crops
- Capital
- Emissions permits
- Non-energy goods
- Agriculture
- Consumer Goods Industries
- Livestock products
- Manufactures
- Services
- Refined Liquid Fuels
Cost measures
- GDP loss
- Welfare loss
- Consumption loss
- Area under MAC
- Energy system cost mark-up
- Equivalent Variation
Categorization by group
- Income
- Urban - rural
- Technology adoption
- Age
- Gender
- Education level
- Household size
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
Model documentation: Energy - GRACE
Behaviour
Producers maximize profit and consumers maximize utility.
Energy technology substitution
Energy technology choice
- No discrete technology choices
- Logit choice model
- Production function
- Linear choice (lowest cost)
- Lowest cost with adjustment penalties
- Nested CES function
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
Industry
- Steel production
- Aluminium production
- Cement production
- Petrochemical production
- Paper production
- Plastics production
- Pulp production
Residential and commercial
- Space heating
- Space cooling
- Cooking
- Refrigeration
- Washing
- Lighting
Land-use
Model documentation: Land-use - GRACE
Land cover
- Cropland
- Cropland irrigated
- Cropland food crops
- Cropland feed crops
- Cropland energy crops
- Forest
- Managed forest
- Natural forest
- Pasture
- Shrubland
- Built-up area
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
Agricultural commodities
- Wheat
- Rice
- Other coarse grains
- Oilseeds
- Sugar crops
- Ruminant meat
- Non-ruminant meat and eggs
- Dairy products
Emission, climate and impacts
Model documentation: Emissions - GRACE, Climate - GRACE, Non-climate sustainability dimension - GRACE
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
Climate change impacts
- Agriculture
- Energy supply
- Energy demand
- Economic output
- Built capital
- Inequality
- Extreme events
- labor productivity
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
Model Documentation - GRACE
The model for Global Responses to Anthropogenic Change in the Environment (GRACE) is a multi-sector, multi-regional, recursively dynamic global computable general equilibrium model (CGE) written in GAMS and based on GTAP database. The initial version of the model was developed at CICERO by Aaheim and Rive (2005) for long-term economic analysis of climate change impacts and greenhouse gas abatement policy. It was designed to allow for additional modules for analysis, including emissions permit trading and climate impacts on economic sectors.
Coupled with an atmospheric model, the model can also be used for integrated assessment modelling of the climate and economy. Since then several versions have been developed by updating data and certain modules for various studies. A recent description of the model is available here.
Note: Flexible based on the latest GTAP database.