Model Factsheets
| Name | IAEW Marktsimulation |
| Acronym | MarS |
| Methodical Focus | None |
| Institution(s) | Institute of Power Systems and Power Economics (IAEW) at RWTH Aachen University |
| Author(s) (institution, working field, active time period) | Dr. T. Mirbach (developer; 5 years); Dr. T. Drees (developer; 5 years); M. Ketov (developer; 4 years) et al. |
| Current contact person | Mihail Ketov |
| Contact (e-mail) | ke@iaew.rwth-aachen.de |
| Website | |
| Logo | |
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| Primary Purpose | price forecasts, nodal dispatch |
| Primary Outputs | power plant dispatch, prices, commercial flows, redispatch potential |
| Support / Community / Forum | |
| Framework | |
| Link to User Documentation | |
| Link to Developer/Code Documentation | |
| Documentation quality | good |
| Source of funding | various projects for the energy industry |
| Number of developers | less than 20 |
| Number of users | less than 100 |
| Open Source | |
| Planned to open up in the future | |
| Costs | no single use license available |
| Modelling software | not given |
| Internal data processing software | Linux; Fortran; C |
| External optimizer | |
| Additional software | Parametrization GUI of IAEW |
| GUI |
| Modeled energy sectors (final energy) |
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| Modeled demand sectors |
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| Modeled technologies: components for power generation or conversion |
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| Modeled technologies: components for transfer, infrastructure or grid |
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| Properties electrical grid |
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| Modeled technologies: components for storage |
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| User behaviour and demand side management | demand shifting with given time series of potential in regard to absolute amount and shifting time | ||||||
| Changes in efficiency | |||||||
| Market models | - | ||||||
| Geographical coverage | |||||||
| Geographic (spatial) resolution |
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| Time resolution | hour | ||||||
| Comment on geographic (spatial) resolution | |||||||
| Observation period | 1 year | ||||||
| Additional dimensions (sector) |
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| Model class (optimisation) | - |
| Model class (simulation) | - |
| Other | |
| Short description of mathematical model class | MIQP, solved by Lagrangian decomposition |
| Mathematical objective | costs |
| Approach to uncertainty | Deterministic |
| Suited for many scenarios / monte-carlo | |
| typical computation time | less than a day |
| Typical computation hardware | 8 cores of 2 GHz, 75 GB RAM |
| Technical data anchored in the model |
| Interfaces | |
| Model file format | Other |
| Input data file format | text |
| Output data file format | .csv |
| Integration with other models | linked to IAEW redispatch model |
| Integration of other models |
| Citation reference | "- T. Drees: ""Simulation des europäischen Binnenmarktes für Strom und Regelleistung bei hohem Anteil erneuerbarer Energien"", Aachener Beiträge zur Energieversorgung Bd. 166 - F. Grote, A. Maaz, T. Drees, A. Moser: ""Modeling of Electricity Pricing in European Market Simulations"" 12th International Conference on the European Energy Market (EEM); Lisbon (PRT); 18.05.2015 – 21.05.2015 -T. Drees, A. Moser: ""Macroeconomic Benefit of Integrated Markets for Reserve Balancing in Europe"" EEM 2016 – 13th International Conference on the European Energy Market; Porto (PRT); 05.06.2016 – 08.06.2016" |
| Citation DOI | |
| Reference Studies/Models | German Bedarfsanalyse of the 4 TSOs |
| Example research questions | What is the impact of a growing penetration of renwables on European market prices and the dispatch? |
| Model usage | NDA |
| Model validation |
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| Example research questions | What is the impact of a growing penetration of renwables on European market prices and the dispatch? |
| further properties | |
| Model specific properties |