IAMC-Documentation - User contributions [en]

MUSE

2020-08-11T07:06:21Z

Sara Giarola:

{{ModelTemplate}}
{{ModelInfoTemplate
|Name=MUSE
|Version=1.0
|ModelLink=http://paris-reinforce.epu.ntua.gr/detailed_model_doc/muse
|participation=full
|processState=in preparation
}}
{{ScopeMethodTemplate
|ModelTypeOption=Energy system model
|GeographicalScopeOption=Global
|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.
|SolutionConceptOption=Partial equilibrium (price elastic demand)
|SolutionHorizonText=recursive-dynamic (limited foresight)
|SolutionMethodOption=Simulation
|BaseYear=2010
|TemporalText=configurable
|TimeSteps=5 or 10
|Horizon=configurable (2050 or 2100)
|Nr=28
|Region=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
|TimeDiscountingTypeOption=Discount rate exogenous
|PoliciesOption=Emission tax; Emission pricing; Capacity targets; Emission standards; Energy efficiency standards
}}
{{Socio-economicTemplate
|PopulationOption=Yes (exogenous)
|PopulationAgeStructureOption=Yes (exogenous)
|EducationLevelOption=Yes (exogenous)
|GDPOption=Yes (exogenous)
|SocioEconomicDriverText=Granularity of the socio-economic drivers is sector-dependent
}}
{{Macro-economyTemplate
|TradeOption=Coal; Oil; Gas; Electricity
|Trade=Refined Liquid Fuels
|CostMeasureOption=Energy system cost mark-up
|CategorizationByGroupOption=Income; Technology adoption; Age; Education level
|InstitutionalAndPoliticalFactorsOption=Technology costs differentiated by country/region; Technological change differentiated by country/region; Behavioural change differentiated by country/region
|CoalRUOption=Yes (supply curve)
|ConventionalOilRUOption=Yes (supply curve)
|UnconventionalOilRUOption=Yes (supply curve)
|ConventionalGasRUOption=Yes (supply curve)
|UnconventionalGasRUOption=Yes (process model)
|UraniumRUOption=Yes (supply curve)
|BioenergyRUOption=Yes (process model)
|LandRUOption=Yes (process model)
|IndustryESOption=Yes (physical)
|EnergyESOption=Yes (physical)
|TransportationESOption=Yes (physical)
|ResidentialAndCommercialESOption=Yes (physical)
|AgricultureESOption=Yes (physical)
|ForestryESOption=Yes (physical)
|EnergyConversionTechnologyTCOption=Endogenous technological change
|EnergyEnd-useTCOption=Endogenous technological change
|MaterialUseTCOption=No technological change
|AgricultureTCOption=Endogenous technological change
}}
{{EnergyTemplate
|EnergyTechnologyChoiceOption=Lowest cost with adjustment penalties
|EnergyTechnologyChoiceText=Technology choice depends on agents' preferences: minimization/maximisation of one objective, or weighted average sum of objectives, lexicographic methods
|EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability
|EnergyTechnologySubstitutabilityText=Discrete technology choices with mostly high substitutability in some sectors and mostly low substitutability in other sectors
|EnergyTechnologyDeploymentOption=Expansion and decline constraints; System integration constraints
|ElectricityTechnologyOption=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
|HydrogenProductionOption=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
|RefinedLiquidsOption=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
|HeatGenerationOption=Coal heat; Natural gas heat; Oil heat; Biomass heat; Geothermal heat; Solarthermal heat; CHP (coupled heat and power)
|PassengerTransportationOption=Passenger trains; Buses; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Hybrid LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts
|FreightTransportationOption=Freight trains; Heavy duty vehicles; Freight aircrafts; Freight ships
|IndustryOption=Paper production
|Industry=Chemicals; Fertilisers; Iron and steel; Non-ferrous metals; Other Industries; Pulp and paper
|IndustryText=Non-metallic minerals
|ResidentialAndCommercialOption=Space heating; Space cooling; Cooking; Refrigeration; Washing; Lighting
}}
{{Land-useTemplate
|LandCoverOption=Cropland food crops; Cropland energy crops; Managed forest; Natural forest; Pasture
|AgricultureAndForestryDemandsOption=Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues
}}
{{EmissionClimateTemplate
|GHGOption=CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; N2O energy; N2O land use
|CarbonDioxideRemovalOption=Bioenergy with CCS
}}
{{InstitutionTemplate
|abbr=Imperial College London
|institution=Imperial College London
|link=https://www.imperial.ac.uk/
|country=UK
}}

MUSE

2020-08-11T07:02:12Z

Sara Giarola:

{{ModelTemplate}}
{{ModelInfoTemplate
|Name=MUSE
|Version=1.0
|ModelLink=http://paris-reinforce.epu.ntua.gr/detailed_model_doc/muse
|participation=full
|processState=in preparation
}}
{{ScopeMethodTemplate
|ModelTypeOption=Energy system model
|GeographicalScopeOption=Global
|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.
|SolutionConceptOption=Partial equilibrium (price elastic demand)
|SolutionHorizonText=recursive-dynamic (limited foresight)
|SolutionMethodOption=Simulation
|BaseYear=2010
|TemporalText=configurable
|TimeSteps=5 or 10
|Horizon=configurable (2050 or 2100)
|Nr=28
|Region=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
|TimeDiscountingTypeOption=Discount rate exogenous
|PoliciesOption=Emission tax; Emission pricing; Capacity targets; Emission standards; Energy efficiency standards
}}
{{Socio-economicTemplate
|PopulationOption=Yes (exogenous)
|PopulationAgeStructureOption=Yes (exogenous)
|EducationLevelOption=Yes (exogenous)
|GDPOption=Yes (exogenous)
|SocioEconomicDriverText=Granularity of the socio-economic drivers is sector-dependent
}}
{{Macro-economyTemplate
|TradeOption=Coal; Oil; Gas; Electricity
|Trade=Refined Liquid Fuels
|CostMeasureOption=Energy system cost mark-up
|CategorizationByGroupOption=Income; Technology adoption; Age; Education level
|InstitutionalAndPoliticalFactorsOption=Interest rates differentiated by country/region; Technology costs differentiated by country/region; Technological change differentiated by country/region; Behavioural change differentiated by country/region
|CoalRUOption=Yes (supply curve)
|ConventionalOilRUOption=Yes (supply curve)
|UnconventionalOilRUOption=Yes (supply curve)
|ConventionalGasRUOption=Yes (supply curve)
|UnconventionalGasRUOption=Yes (process model)
|UraniumRUOption=Yes (supply curve)
|BioenergyRUOption=Yes (process model)
|LandRUOption=Yes (process model)
|IndustryESOption=Yes (physical)
|EnergyESOption=Yes (physical)
|TransportationESOption=Yes (physical)
|ResidentialAndCommercialESOption=Yes (physical)
|AgricultureESOption=Yes (physical)
|ForestryESOption=Yes (physical)
|EnergyConversionTechnologyTCOption=Endogenous technological change
|EnergyEnd-useTCOption=Endogenous technological change
|AgricultureTCOption=Endogenous technological change
}}
{{EnergyTemplate
|EnergyTechnologyChoiceOption=Lowest cost with adjustment penalties
|EnergyTechnologyChoiceText=Technology choice depends on agents' preferences: minimization/maximisation of one objective, or weighted average sum of objectives, lexicographic methods
|EnergyTechnologySubstitutabilityOption=Mixed high and low substitutability
|EnergyTechnologySubstitutabilityText=Discrete technology choices with mostly high substitutability in some sectors and mostly low substitutability in other sectors
|EnergyTechnologyDeploymentOption=Expansion and decline constraints; System integration constraints
|ElectricityTechnologyOption=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
|HydrogenProductionOption=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
|RefinedLiquidsOption=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
|HeatGenerationOption=Coal heat; Natural gas heat; Oil heat; Biomass heat; Geothermal heat; Solarthermal heat; CHP (coupled heat and power)
|PassengerTransportationOption=Passenger trains; Buses; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Hybrid LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts
|FreightTransportationOption=Freight trains; Heavy duty vehicles; Freight aircrafts; Freight ships
|IndustryOption=Paper production
|Industry=Chemicals; Fertilisers; Iron and steel; Non-ferrous metals; Other Industries; Pulp and paper
|IndustryText=Non-metallic minerals
|ResidentialAndCommercialOption=Space heating; Space cooling; Cooking; Refrigeration; Washing; Lighting
}}
{{Land-useTemplate
|LandCoverOption=Cropland food crops; Cropland energy crops; Managed forest; Natural forest; Pasture
|AgricultureAndForestryDemandsOption=Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues
}}
{{EmissionClimateTemplate
|GHGOption=CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; N2O energy; N2O land use
|CarbonDioxideRemovalOption=Bioenergy with CCS
}}
{{InstitutionTemplate
|abbr=Imperial College London
|institution=Imperial College London
|link=https://www.imperial.ac.uk/
|country=UK
}}

MUSE

2020-08-10T21:31:08Z

Sara Giarola:

{{ModelTemplate}}
{{ModelInfoTemplate
|Name=MUSE
|Version=1.0
|ModelLink=http://paris-reinforce.epu.ntua.gr/detailed_model_doc/muse
|participation=full
|processState=in preparation
}}
{{ScopeMethodTemplate
|ModelTypeOption=Energy system model
|GeographicalScopeOption=Global
|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.
|SolutionConceptOption=Partial equilibrium (price elastic demand)
|SolutionHorizonText=recursive-dynamic (limited foresight)
|SolutionMethodOption=Simulation
|BaseYear=2010
|TemporalText=configurable
|TimeSteps=5 or 10
|Horizon=configurable (2050 or 2100)
|Nr=28
|Region=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
|TimeDiscountingTypeOption=Discount rate exogenous
|PoliciesOption=Emission tax; Emission pricing; Capacity targets; Emission standards; Energy efficiency standards
}}
{{Socio-economicTemplate
|PopulationOption=Yes (exogenous)
|PopulationAgeStructureOption=Yes (exogenous)
|EducationLevelOption=Yes (exogenous)
|GDPOption=Yes (exogenous)
|SocioEconomicDriverText=Granularity of the socio-economic drivers is sector-dependent
}}
{{Macro-economyTemplate
|TradeOption=Coal; Oil; Gas; Electricity
|Trade=Refined Liquid Fuels
|CostMeasureOption=Energy system cost mark-up
|CategorizationByGroupOption=Income; Technology adoption; Age; Education level
|InstitutionalAndPoliticalFactorsOption=Interest rates differentiated by country/region; Technology costs differentiated by country/region; Technological change differentiated by country/region; Behavioural change differentiated by country/region
|CoalRUOption=Yes (supply curve)
|ConventionalOilRUOption=Yes (supply curve)
|UnconventionalOilRUOption=Yes (supply curve)
|ConventionalGasRUOption=Yes (supply curve)
|UnconventionalGasRUOption=Yes (process model)
|UraniumRUOption=Yes (supply curve)
|BioenergyRUOption=Yes (process model)
|LandRUOption=Yes (process model)
|IndustryESOption=Yes (physical)
|EnergyESOption=Yes (physical)
|TransportationESOption=Yes (physical)
|ResidentialAndCommercialESOption=Yes (physical)
|AgricultureESOption=Yes (physical)
|ForestryESOption=Yes (physical)
|EnergyConversionTechnologyTCOption=Endogenous technological change
|EnergyEnd-useTCOption=Endogenous technological change
|AgricultureTCOption=Endogenous technological change
}}
{{EnergyTemplate
|EnergyTechnologyChoiceText=Technology choice depends on agents' preferences: maximisation of one objective, or weighted average sum of objectives, lexicographic methods
|EnergyTechnologySubstitutabilityText=Discrete technology choices with mostly high substitutability in some sectors and mostly low substitutability in other sectors
|EnergyTechnologyDeploymentOption=Expansion and decline constraints; System integration constraints
|ElectricityTechnologyOption=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
|HydrogenProductionOption=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
|RefinedLiquidsOption=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
|HeatGenerationOption=Coal heat; Natural gas heat; Oil heat; Biomass heat; Geothermal heat; Solarthermal heat; CHP (coupled heat and power)
|PassengerTransportationOption=Passenger trains; Buses; Light Duty Vehicles (LDVs); Electric LDVs; Hydrogen LDVs; Hybrid LDVs; Gasoline LDVs; Diesel LDVs; Passenger aircrafts
|FreightTransportationOption=Freight trains; Heavy duty vehicles; Freight aircrafts; Freight ships
|IndustryOption=Paper production
|Industry=Chemicals; Fertilisers; Iron and steel; Non-ferrous metals; Other Industries; Pulp and paper
|IndustryText=Non-metallic minerals
|ResidentialAndCommercialOption=Space heating; Space cooling; Cooking; Refrigeration; Washing; Lighting
}}
{{Land-useTemplate
|LandCoverOption=Cropland food crops; Cropland energy crops; Managed forest; Natural forest; Pasture
|AgricultureAndForestryDemandsOption=Agriculture food; Agriculture food crops; Agriculture food livestock; Agriculture bioenergy; Agriculture residues; Forest industrial roundwood; Forest residues
}}
{{EmissionClimateTemplate
|GHGOption=CO2 fossil fuels; CO2 cement; CO2 land use; CH4 energy; CH4 land use; N2O energy; N2O land use
|CarbonDioxideRemovalOption=Bioenergy with CCS
}}
{{InstitutionTemplate
|abbr=Imperial College London
|institution=Imperial College London
|link=https://www.imperial.ac.uk/
|country=UK
}}

MUSE

2020-08-10T21:16:33Z

Sara Giarola:

MUSE

2020-08-10T21:12:31Z

Sara Giarola:

MUSE

2020-08-10T21:08:11Z

Sara Giarola:

MUSE

2020-08-10T21:01:54Z

Sara Giarola:

MUSE

2020-08-10T20:54:57Z

Sara Giarola:

{{ModelTemplate}}
{{ModelInfoTemplate
|Name=MUSE
|Version=1.0
|ModelLink=http://paris-reinforce.epu.ntua.gr/detailed_model_doc/muse
|participation=full
|processState=in preparation
}}
{{InstitutionTemplate
|abbr=Imperial College London
|institution=Imperial College London
|link=https://www.imperial.ac.uk/
|country=UK
}}
{{ScopeMethodTemplate
|ModelTypeOption=Energy system model
|GeographicalScopeOption=Global
|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.
|SolutionConceptOption=Partial equilibrium (price elastic demand)
|SolutionHorizonText=recursive-dynamic (limited foresight)
|SolutionMethodOption=Simulation
|BaseYear=2010
|TemporalText=configurable
|TimeSteps=5 or 10
|Horizon=configurable (2050 or 2100)
|Nr=28
|Region=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
|TimeDiscountingTypeOption=Discount rate exogenous
|PoliciesOption=Emission tax; Emission pricing; Capacity targets; Emission standards; Energy efficiency standards
}}
{{Socio-economicTemplate}}
{{Macro-economyTemplate}}
{{EnergyTemplate}}
{{Land-useTemplate}}
{{EmissionClimateTemplate}}

MUSE

2020-08-10T20:52:17Z

Sara Giarola:

{{ModelTemplate}}
{{ModelInfoTemplate
|Name=MUSE
|Version=x
|ModelLink=http://www.sustainablegasinstitute.org/home/muse-energy-model/
|participation=full
|processState=in preparation
}}
{{ScopeMethodTemplate
|ModelTypeOption=Energy system model
|GeographicalScopeOption=Global
|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.
|SolutionConceptOption=Partial equilibrium (price elastic demand)
|SolutionHorizonText=recursive-dynamic (limited foresight)
|SolutionMethodOption=Simulation
|BaseYear=2010
|TemporalText=configurable
|TimeSteps=5 or 10
|Horizon=configurable (2050 or 2100)
|Nr=28
|Region=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
|TimeDiscountingTypeOption=Discount rate exogenous
|PoliciesOption=Emission tax; Emission pricing; Capacity targets; Emission standards; Energy efficiency standards
}}
{{Socio-economicTemplate}}
{{Macro-economyTemplate}}
{{EnergyTemplate}}
{{Land-useTemplate}}
{{EmissionClimateTemplate}}
{{InstitutionTemplate
|abbr=Imperial College London
|institution=Imperial College London
|link=https://www.imperial.ac.uk/
|country=UK
}}