Pan European TIMES model (TIMES PanEU)

Name Pan European TIMES model
Acronym TIMES PanEU
Methodical Focus
Institution(s) Institute of Energy Economics and Rational Energy Use
Author(s) (institution, working field, active time period)
Current contact person Ulrich Fahl
Contact (e-mail) ulrich.fahl@ier.uni-stuttgart.de
Website www.ier.uni-stuttgart.de
Logo
Primary Purpose -
Primary Outputs -
Support / Community / Forum
Framework TIMES
Link to User Documentation -
Link to Developer/Code Documentation -
Documentation quality not available
Source of funding -
Number of devolopers -
Number of users -
Open Source
Planned to open up in the future
Costs -
Modelling software VEDA TIMES; GAMS; CPLEX
Internal data processing software
External optimizer
Additional software
GUI
Citation reference -
Citation DOI -
Please list references to reports and studies which were produced using the model -
Example research questions -
Larger scale usage -
Model validation -
Example research questions -
further properties -
Model specific properties -
Modeled energy sectors (final energy) electricity, heat, liquid fuels, gas
Modeled demand sectors Households, Industry, Commercial sector, Transport
Modelled energy carriers (primary energy carrier)
Gas Natural gas, Biogas, Hydrogen
Liquids Petrol, Diesel, Ethanol
Solid Hard coal, Lignite, Uranium, Biomass, Sun, Wind, Hydro, Geothermal heat
Renewables Sun, Wind, Hydro, Geothermal heat
Modeled technologies: components for generation or conversion
Renewables PV, Wind, Hydro, Biomass, Biogas, Solar thermal
Conventional gas, coal, oil, liquid fuels, nuclear
Modeled technologies: components for transfer, infrastructure or grid
Electricity transmission
Gas transmission
Heat transmission
Properties electrical grid -
Modeled technologies: components for storage battery, compressed air, pump hydro, heat, gas
User behaviour and demand side management
Changes in efficiency Considered
Market models fundamental model
Geographical coverage EU28; NO; CH
Geographic (spatial) resolution national states
Time resolution Typical days
Comment on geographic (spatial) resolution -
Observation period >1 year
Additional dimensions (sector) -
Model class (optimisation) LP
Model class (simulation) -
Other
Short description of mathematical model class Optimization
Mathematical objective costs
Approach to uncertainty Deterministic
Suited for many scenarios / monte-carlo
typical computation time less than a day
Typical computation hardware -
Technical data anchored in the model -
Interfaces -
Model file format .gms
Input data file format .xls
Output data file format .xls
Integration with other models -
Integration of other models -

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