National European Worldwide Applied General Equilibrium (NEWAGE)

Europe REEEM
Name National European Worldwide Applied General Equilibrium
Acronym NEWAGE
Methodical Focus -
Institution(s) Institut für Energiewirtschaft und Rationelle Energieanwendung (IER), USTUTT
Author(s) (institution, working field, active time period) Robert Beestermöller
Current contact person Robert Beestermöller
Contact (e-mail) robert.beestermoeller@ier.uni-stuttgart.de
Website http://www.ier.uni-stuttgart.de/forschung/modelle/NEWAGE/index_en.html
Logo
Primary Purpose Macroeconomic analyses of energy and climate policy strategies
Primary Outputs
Support / Community / Forum
Framework
Link to User Documentation
Link to Developer/Code Documentation
Documentation quality expandable
Source of funding
Number of devolopers less than 10
Number of users less than 10
Open Source
Planned to open up in the future
Costs
Modelling software GAMS, MPSGE
Internal data processing software Excel
External optimizer
Additional software
GUI
Citation reference http://www.ier.uni-stuttgart.de/forschung/modelle/NEWAGE/index_en.html
Citation DOI
Please list references to reports and studies which were produced using the model Beestermöller, R.; Fahl, U.: „Impacts of German energy policies on the competitiveness of national energy intensive industries“, Fullpaper at the EcoMod2013 International Conference on Economic Modeling, Czech University of Life Sciences, Prague (1-3 July 2013); Küster, R.; Ellersdorfer, I.; Fahl, U.: „A CGE-Analysis of Energy Policies Considering Labor Market Imperfections and Technology Specifications“, Fondazione Eni Enrico Mattei (FEEM), Nota di Lavoro, 7.2007, CCMP – Climate Change Modelling and Policy, Milano (January 2007);
Example research questions Regional and sectoral impacts of energy and climate policy strategies on GDP, employment, competitiveness, prices, welfare
Larger scale usage
Model validation -
Example research questions Regional and sectoral impacts of energy and climate policy strategies on GDP, employment, competitiveness, prices, welfare
further properties
Model specific properties
Modeled energy sectors (final energy) -
Modeled demand sectors -
Modelled energy carriers (primary energy carrier)
Gas -
Liquids -
Solid -
Renewables -
Modeled technologies: components for generation or conversion
Renewables -
Conventional -
Modeled technologies: components for transfer, infrastructure or grid
Electricity -
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage -
User behaviour and demand side management
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution global
Time resolution 5-year-steps
Comment on geographic (spatial) resolution countries and groups of countries
Observation period >1 year
Additional dimensions (sector) -
Model class (optimisation) -
Model class (simulation) -
Other MCP
Short description of mathematical model class
Mathematical objective costs, cost minimization, utility maximization (dual approach)
Approach to uncertainty -
Suited for many scenarios / monte-carlo
typical computation time less than an hour
Typical computation hardware RAM, CPU
Technical data anchored in the model
Interfaces
Model file format .gms
Input data file format .csv
Output data file format .csv
Integration with other models soft-link with TIMES PanEU
Integration of other models

If you find bugs or if you have ideas to improve the Open Energy Platform, you are welcome to add your comments to the existing issues on GitHub.
You can also fork the project and get involved.

Please note that the platform is still under construction and therefore the design of this page is still highly volatile!



Fact Sheet objectives: The Fact Sheets are made to...
  • Find models/frameworks for your needs or just get an overview about the existing ones
  • Compare a selection of models for different purposes - e.g. to develop a strategy to link them
  • Store your model/framework information to provide transparency
More info here
Use case example model Fact Sheet: For a European pathway simulation (EPS) we want to choose the models that best meet our requirements. All partners include their models in the Model Fact Sheets and tag them with “EPS”. To compare the models we filter all “EPS” models and choose different characteristics that we want to compare. OEP will give us tables (views) that facilitate the comparison.