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Antares-Simulator
by RTE
Authors:
Contact:
Paul Plessiez, Jean-Marc Janin, Romain Rousselin-Reinhardt
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Antares-Simulator is an open-source tool for the modelling, the simulation and the planning of multi-energy systems. It is a sequential Monte-Carlo simulator designed for short to long term studies of large interconnected energy grids. It simulates the economic behavior of the whole transmission-generation system, throughout the year and with a resolution of one hour.
Based on C++, C. Using Python, TypeScript for data processing.
Website / Documentation
Download
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 Open Source
GNU General Public License version 3.0 (GPL-3.0)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Capacity Expansion Problem, Production Cost Model
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| Sectors
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Electricity, Methane, Hydrogen, Heat
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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dispatch, investment
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| Regions
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Europe
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| Geographic Resolution
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NUTS0 - NUTS2
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| Time resolution
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Hour
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| Network coverage
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transmission, DC load flow, net transfer capacities
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| Model type
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Optimization, Simulation
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Investment planning: optimization based on Benders decomposition
Dispatch : simulation based on MILP
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| Variables
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| Computation time
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20 minutes (For 1 year Monte-Carlo pan-European system. Monte-Carlo years solving can be parallelized, significantly reducing the computation time when many MC years are simulated)
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| Objective
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socio-economic welfare, investment costs, greenhouse gas emissions
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| Uncertainty modeling
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Monte-Carlo methods, myopic week-ahead foresight
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
A New tool for adequacy reporting of electric systems. CIGRE 2008, C1-305 (M. Doquet, R. Gonzalez, S. Lepy, E. Momot, F. Verrier)
Reports produced using the model
- RTE, "Energy Pathways to 2050", https://assets.rte-france.com/prod/public/2022-01/Energy%20pathways%202050_Key%20results.pdf
- Lauvergne, Rémi, Yannick Perez, Mathilde Françon, et Alberto Tejeda De La Cruz. « Integration of Electric Vehicles into Transmission Grids: A Case Study on Generation Adequacy in Europe in 2040 ». Applied Energy 326 (15 novembre 2022): 120030. https://doi.org/10.1016/j.apenergy.2022.120030.
- Lynch, Arthur, Yannick Perez, Sophie Gabriel, et Gilles Mathonniere. « Nuclear Fleet Flexibility: Modeling and Impacts on Power Systems with Renewable Energy ». Applied Energy 314 (15 mai 2022): 118903. https://doi.org/10.1016/j.apenergy.2022.118903.
- Houghton, T., K. R. W. Bell, et M. Doquet. « Offshore Transmission for Wind: Comparing the Economic Benefits of Different Offshore Network Configurations ». Renewable Energy 94 (1 août 2016): 268‑79. https://doi.org/10.1016/j.renene.2016.03.038.
- A. T. Samuel, A. Aldamanhori, A. Ravikumar and G. Konstantinou, "Stochastic Modeling for Future Scenarios of the 2040 Australian National Electricity Market using ANTARES," 2020 International Conference on Smart Grids and Energy Systems (SGES), Perth, Australia, 2020, pp. 761-766, doi: 10.1109/SGES51519.2020.00141.
Example research questions
What are the best investment options to efficiently decarbonize the European energy sector?
What is the operational cost of a given pan-european energy mix?
What can be the added value of reinforcing the transmission grid on a given border?
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