GENeSYS-MOD: Difference between revisions
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|Name=GENeSYS-MOD | |Name=GENeSYS-MOD | ||
|Version=v3.0 | |Version=v3.0 | ||
|ModelLink=https://git.tu-berlin.de/genesysmod/genesys-mod-public/-/releases/genesysmod3.0 | |ModelLink=https://git.tu-berlin.de/genesysmod/genesys-mod-public/-/releases/genesysmod3.0; https://www.diw.de/de/diw_01.c.594278.de/publikationen/data_documentation/2018_0094/genesys-mod_v2.0_____enhancing_the_global_energy_system_mode___model_improvements__framework_changes__and_european_data_set.html; https://www.mdpi.com/1996-1073/10/10/1468 | ||
|participation=reference card only | |participation=reference card only | ||
|processState= | |processState=published | ||
}} | |||
{{InstitutionTemplate | |||
|abbr=TU Berlin | |||
|institution=Technische Universität Berlin | |||
|link=https://wip.tu-berlin.de/ | |||
|country=Germany | |||
}} | |||
{{InstitutionTemplate | |||
|abbr=DIW Berlin | |||
|institution=Deutsches Institut für Wirtschaftsforschung | |||
|link=https://www.diw.de/ | |||
|country=Germany | |||
}} | |||
{{InstitutionTemplate | |||
|abbr=EUF | |||
|institution=Europa-Universität Flensburg | |||
|link=https://www.uni-flensburg.de/eum | |||
|country=Germany | |||
}} | }} | ||
{{ScopeMethodTemplate | {{ScopeMethodTemplate | ||
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|GeographicalScopeOption=Global | |GeographicalScopeOption=Global | ||
|Objective=GENeSYS-MOD is aimed at creating long-term pathways for the energy system, focusing on sector-coupling of the traditionally segregated sectors electricity, buildings, industry, and transport. To achieve this, GENeSYS-MOD minimizes the net-present value of the entire energy system towards 2050. As a result, the model provides the cost-optimal capacity expansion, mix and flow of energy carriers, and emission abatement, while taking into account flexibility options and climate targets. | |Objective=GENeSYS-MOD is aimed at creating long-term pathways for the energy system, focusing on sector-coupling of the traditionally segregated sectors electricity, buildings, industry, and transport. To achieve this, GENeSYS-MOD minimizes the net-present value of the entire energy system towards 2050. As a result, the model provides the cost-optimal capacity expansion, mix and flow of energy carriers, and emission abatement, while taking into account flexibility options and climate targets. | ||
|SolutionConceptOption=Partial equilibrium (fixed demand) | |||
|SolutionHorizonOption=Intertemporal optimization (foresight) | |SolutionHorizonOption=Intertemporal optimization (foresight) | ||
|SolutionHorizon=recursive-dynamic (myopic) | |SolutionHorizon=recursive-dynamic (myopic) | ||
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|ClimateChangeImpactsText=exogenous as part of exogenous energy demand developments | |ClimateChangeImpactsText=exogenous as part of exogenous energy demand developments | ||
|Co-LinkagesOption=Energy security: Fossil fuel imports & exports (region) | |Co-LinkagesOption=Energy security: Fossil fuel imports & exports (region) | ||
}} | }} |
Latest revision as of 10:51, 5 April 2022
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
GENeSYS-MOD v3.0
Model link
https://git.tu-berlin.de/genesysmod/genesys-mod-public/-/releases/genesysmod3.0; https://www.diw.de/de/diw_01.c.594278.de/publikationen/data_documentation/2018_0094/genesys-mod_v2.0_____enhancing_the_global_energy_system_mode___model_improvements__framework_changes__and_european_data_set.html; https://www.mdpi.com/1996-1073/10/10/1468
Institution
Technische Universität Berlin (TU Berlin), Germany, https://wip.tu-berlin.de/., Deutsches Institut für Wirtschaftsforschung (DIW Berlin), Germany, https://www.diw.de/., Europa-Universität Flensburg (EUF), Germany, https://www.uni-flensburg.de/eum.
Documentation
GENeSYS-MOD 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
GENeSYS-MOD is aimed at creating long-term pathways for the energy system, focusing on sector-coupling of the traditionally segregated sectors electricity, buildings, industry, and transport. To achieve this, GENeSYS-MOD minimizes the net-present value of the entire energy system towards 2050. As a result, the model provides the cost-optimal capacity expansion, mix and flow of energy carriers, and emission abatement, while taking into account flexibility options and climate targets.
Solution concept
- Partial equilibrium (price elastic demand)
- Partial equilibrium (fixed demand)
- General equilibrium (closed economy)
Solution horizon
- Recursive dynamic (myopic)
- Intertemporal optimization (foresight)
- recursive-dynamic (myopic)
Solution method
- Simulation
- Optimization
- Linear optimisation
Temporal dimension
Base year:2015 / 2018, time steps:flexible, horizon: 2050
Note: Reduced hourly timeseries via a timeseries reduction algorithm (described here: https://doi.org/10.1016/j.apenergy.2019.113820 and here: https://www.diw.de/documents/publikationen/73/diw_01.c.558112.de/diw_datadoc_2017-088.pdf). Can be chosen by the user. Typically, the range of intra-yearly timesteps ranges between 18 and 120.
Spatial dimension
Number of regions:10
- Africa
- Asia-Rest
- China
- Europe
- India
- Middle East
- North America
- Oceania
- FSU
- South America
Note: Apart from the global model with 10 macro-regions, there are several more detailed regional applications at either country, or sub-country level (e.g. for Europe, Germany, China, India, Mexico, Japan, South Africa, etc). It is planned to combine these datasets in an upcoming version.
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
- Phase out regulations
- Emission reduction targets
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
Note: Total Energy System Costs (split into CAPEX, OPEX, Transmission, Storages, etc)
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
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)
- Electric heat sources (e.g. resistance heating, heat pumps)
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
- Fuel-cell HDVs
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
- Water heating
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
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
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
Note: exogenous as part of exogenous energy demand developments
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: as potential user choice