Model Factsheet

Overview / Aurora Energy Research Electricity System Model for Europe (AERESEU)

Model Aurora Energy Research Electricity System Model for Europe (AERESEU)

General Information
Name Aurora Energy Research Electricity System Model for Europe
Acronym AERESEU
Methodical Focus None
Institution(s) Aurora Energy Research Limited; Aurora Energy Research GmbH
Author(s) (institution, working field, active time period) Dr. Florian Habermacher; Aurora Energy Research Ltd
Current contact person Dr. Florian Habermacher
Contact (e-mail) florian.habermacher@auroraer.com
Website https://www.auroraer.com/about/our-models/
Logo
Primary Purpose Power sector investment and dispatch & pricing in all markets
Primary Outputs Plants' dispatch in all markets, capacity decisions, transmission flows, fuel and carbon, social and private costs and profits
Support / Community / Forum
Framework
Link to User Documentation not available
Link to Developer/Code Documentation not available
Documentation quality not available
Source of funding Private
Number of developers less than 20
Number of users less than 10
Openness
Open Source
Planned to open up in the future
Costs not available
Software
Modelling software GAMS; Python
Internal data processing software GAMS; Python
External optimizer
Additional software not available
GUI
Coverage
Modeled energy sectors (final energy) electricity, heat, renewables, storage, electrical vehicles
Modeled demand sectors Households, Industry, Commercial sector, Transport
Modeled technologies: components for power generation or conversion
Renewables PV, Wind, Hydro
Conventional gas, oil, liquid fuels, nuclear
Modeled technologies: components for transfer, infrastructure or grid
Electricity -
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage battery, kinetic, compressed air, pump hydro, chemical, heat
User behaviour and demand side management
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution continents, national states
Time resolution annual, hour, 15 min, 1 min
Comment on geographic (spatial) resolution
Observation period <1 year, 1 year, >1 year
Additional dimensions (sector) ecological, economic
Mathematical Properties
Model class (optimisation) LP
Model class (simulation) Game Theoretic Model
Other
Short description of mathematical model class
Mathematical objective costs
Approach to uncertainty Stochastic
Suited for many scenarios / monte-carlo
typical computation time less than a day
Typical computation hardware Server workstation
Technical data anchored in the model not available
Model Integration
Interfaces Microsoft Windows API
Model file format .gms
Input data file format .csv
Output data file format .xls
Integration with other models
Integration of other models
References
Citation reference not available
Citation DOI not available
Reference Studies/Models https://www.auroraer.com/products-services/market-intelligence/european-gas-market-service/#section=strategic-insight-reports
Example research questions What is the most cost-effective energy infrastructure in a given country? What are the strategic investments by individual players to ensure profitable operations?
Model usage Aurora's Subscription Groups and clients (utilities, investors and public sector
Model validation -
Example research questions What is the most cost-effective energy infrastructure in a given country? What are the strategic investments by individual players to ensure profitable operations?
further properties
Model specific properties Particular strengths of the model include features such as capacity and balancing markets.

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Renewable 2050 Strommarkt