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CROSS / CROSS catalog / EXploration of PAtterns in Near-optimal Energy ScEnarios (EXPANSE)

EXploration of PAtterns in Near-optimal Energy ScEnarios (EXPANSE)

Developers
University of Geneva

Contact

Jan-Philipp Sasse, University of Geneva

License

Proprietary

SWEET Project

EDGE - WP 7
SURE - WP 8
PATHFNDR - WP 1

EXPANSE is a spatially-explicit, bottom-up, technology-rich, single-year optimization model of the electricity system. It has a Swiss and a European version. The model accounts for up to hourly operation and long-term capacity investment of electricity generation, storage, and transmission. EXPANSE has three key features. First, the model is spatially resolved that allows for sub-national modeling of the European electricity system (up to NUTS 3 level) or at the level of 2172 Swiss municipalities. Second, EXPANSE applies Modeling to Generate Alternatives (MGA) to compute many alternative scenarios of different spatial configurations of the electricity system with cost-optimal and near-optimal costs. The principle of MGA is to relax the cost-optimal spatial configuration with an acceptable relative cost increase called slack to search for many alternative spatial configuration scenarios. These near-optimal scenarios can have other unmodeled advantages in terms of environmental impacts or feasibility for real-world implementation. Third, EXPANSE quantifies regional impacts associated to the capacity and operation of electricity system infrastructure, including investment and divestment, job gains and losses, and regional impacts on electricity prices, greenhouse gas emissions, particulate matter emissions, and land use.

Features

Facts

ClassElectricity sector model
TypeDeterministic + Modelling to Generate Alternatives 
Spatial regionsEither Switzerland or 36 European countries (EU + Schengen + Balkans)
Spatial resolutionSwiss version: Municipality, NUTS. European version: NUTS3
Time coverageSwiss version: Today-2050, European version: Single year, 2035
Time resolutionHourly

Sectors

Residential, services, industrial, transportation, energy supply (electricity and fuels)

Category

Inputs

Outputs

Socioeconomy
GDP
Economy wide consumption
Climate policy measures
Psychological (revealed or stated preferences, willingness to pay, intentions)
Sociodemographic (household, age, income, gender..)
Infrastructure
Electricity - transmission network
Electricity - distribution network
Thermal network
Gas network
Electricity - transmission network
Environment
Total CO2 emissions
CO2 emissions from energy system
CO2 emissions from electricity production
Energy demand
Total electricity
Electricity - appliances
Residential cooking
Energy supply/production
Electricity - production
Electricity - storage
Electricity - installed capacity
Resource potential
Solar
Water
Wind
Biomass
Hydropower potential
Geothermal
Carbon storage potential
Artificial thermal sources (e.g. waste heat)
Direct demand of resources
Gas as feedstock in industry (i.e. non-heating demand)
Other fossil fuels
Trade
Electricity imports/exports
Electricity import/export price
Fossil fuels (i.e. gas, gasoline, diesel) imports/exports
Fossil fuels import/export price
Biomass and biofuels imports/exports
Biomass and biofuels import/export price
Hydrogen imports/exports
Hydrogen import/export price
Electricity imports/exports
Electricity import/export price
Fossil fuels (i.e. gas, gasoline, diesel) imports/exports
Fossil fuels import/export price
Biomass and biofuels imports/exports
Biomass and biofuels import/export price
Hydrogen imports/exports
Hydrogen import/export price
Technologies

Inv: Investment costs
Eff: Efficiency
OM: Operation and Maintenance costs
LCA: Life cycle assessment indicators
Batteries (Inv,Eff,OM,LCA)
CHPs (Inv,Eff,OM,LCA)
Electricity generation (Inv,Eff,OM,LCA)
Electricity storage (Inv,Eff,OM,LCA)
Transmission lines (Inv,Eff,OM,LCA)
Hydrogen production (Inv,Eff,OM,LCA)
Vehicles (Inv,Eff,OM)
Soft mobility (Inv,Eff,OM)
Energy efficiency technologies (Inv,Eff,OM)
Prices
Others

References

This page was last modified on 2022.02.22, 13:16