MUSE
Reference card – MUSE
About
Documentation: MUSE documentation consists of a referencecard and detailed model documentation
Institution: Imperial College London (Imperial College London), UK, https://www.imperial.ac.uk/.
Model link: http://paris-reinforce.epu.ntua.gr/detailed_model_doc/muse
Name and version: MUSE 1.0
Process state: in preparation
Model scope and methods
Geographical scope: Global
Model type: Energy system model
Objective: MUSE is an agent-based energy systems model which simulates the decision-making process of firms and consumers in the energy system. It aims at capturing the multi-faceted aspects of the energy systems transitions in a realistic way as they would be affected by limited knowledge of the future and the technology readiness adopting a bottom-up approach to the technology description.
Policies: Emission tax, Emission pricing, Capacity targets, Emission standards, Energy efficiency standards
Solution concept: Partial equilibrium (price elastic demand)
Solution method: Simulation
Spatial dimension: Number of regions:28
Temporal dimension: Base year:2010, time steps:5 or 10, horizon: configurable (2050 or 2100)
Time discounting type: Discount rate exogenous
Socio-economic drivers
Education level: Yes (exogenous)
GDP: Yes (exogenous)
Population: Yes (exogenous)
Population age structure: Yes (exogenous)
Macro-economy
Energy
Electricity technologies: Coal w/o CCS, Coal w/ CCS, Gas w/o CCS, Gas w/ CCS, Oil w/o CCS, Bioenergy w/o CCS, Bioenergy w/ CCS, Geothermal power, Nuclear power, Solar power-central PV, Solar power-distributed PV, Solar power-CSP, Wind power, Wind power-onshore, Wind power-offshore, Hydroelectric power, Ocean power
Energy technology choice: Lowest cost with adjustment penalties
Energy technology deployment: Expansion and decline constraints, System integration constraints
Energy technology substitutability: Mixed high and low substitutability
Freight transportation: Freight trains, Heavy duty vehicles, Freight aircrafts, Freight ships
Heat generation: Coal heat, Natural gas heat, Oil heat, Biomass heat, Geothermal heat, Solarthermal heat, CHP (coupled heat and 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, Biomass to hydrogen w/o CCS, Biomass to hydrogen w/ CCS
Industry: Paper production
Passenger transportation: Passenger trains, Buses, Light Duty Vehicles (LDVs), Electric LDVs, Hydrogen LDVs, Hybrid LDVs, Gasoline LDVs, Diesel LDVs, Passenger aircrafts
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
Residential and commercial: Space heating, Space cooling, Cooking, Refrigeration, Washing, Lighting
Land-use
Agriculture and forestry demands: Agriculture food, Agriculture food crops, Agriculture food livestock, Agriculture bioenergy, Agriculture residues, Forest industrial roundwood, Forest residues
Land cover: Cropland food crops, Cropland energy crops, Managed forest, Natural forest, Pasture
Emission, climate and impacts
Carbon dioxide removal: Bioenergy with CCS
Greenhouse gases: CO2 fossil fuels, CO2 cement, CO2 land use, CH4 energy, CH4 land use, N2O energy, N2O land use
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)
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About
Name and version
MUSE 1.0
Institution
Imperial College London (Imperial College London), UK, https://www.imperial.ac.uk/.
Documentation
MUSE documentation consists of a referencecard and detailed model documentation
Process state
in preparation
Model scope and methods
Model documentation: Model_scope_and_methods - MUSE
Model type
- Integrated assessment model
- Energy system model
- CGE
- CBA-integrated assessment model
Geographical scope
- Global
- Regional
Objective
MUSE is an agent-based energy systems model which simulates the decision-making process of firms and consumers in the energy system. It aims at capturing the multi-faceted aspects of the energy systems transitions in a realistic way as they would be affected by limited knowledge of the future and the technology readiness adopting a bottom-up approach to the technology description.
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
Temporal dimension
Base year:2010, time steps:5 or 10, horizon: configurable (2050 or 2100)
Note: configurable
Spatial dimension
Number of regions:28
- Adjacent Europe
- ASEAN
- Caspian Region
- Australia & New Zealand
- Brazil
- Canada
- Chile
- China
- Denmark
- Eastern Europe
- Emerging Asia
- Emerging Latin America
- Finalnd
- India
- Israel
- Japan
- South Korea
- Middle East
- Mexico
- North & Central Africa
- Norway
- Other EMerging Europe
- Russia
- Sweden
- United States of America
- South Africa
- Iceland
- Western Europe
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
Model documentation: Socio-economic drivers - MUSE
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)
Other socio economic driver
Note: Granularity of the socio-economic drivers is sector-dependent
Macro-economy
Model documentation: Macro-economy - MUSE
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
- Refined Liquid Fuels
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
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 - MUSE
Energy technology substitution
Energy technology choice
- No discrete technology choices
- Logit choice model
- Production function
- Linear choice (lowest cost)
- Lowest cost with adjustment penalties
Note: Technology choice depends on agents' preferences: minimization/maximisation of one objective, or weighted average sum of objectives, lexicographic methods
Energy technology substitutability
- Mostly high substitutability
- Mostly low substitutability
- Mixed high and low substitutability
Note: Discrete technology choices with mostly high substitutability in some sectors and mostly low substitutability in other sectors
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
- Chemicals
- Fertilisers
- Iron and steel
- Non-ferrous metals
- Other Industries
- Pulp and paper
Note: Non-metallic minerals
Residential and commercial
- Space heating
- Space cooling
- Cooking
- Refrigeration
- Washing
- Lighting
Land-use
Model documentation: Land-use - MUSE
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 - MUSE, Climate - MUSE, Non-climate sustainability dimension - MUSE
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
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: recursive-dynamic (limited foresight)