Antares-Simulator - Revision history

Florian Maurer at 12:14, 17 April 2024

2024-04-17T12:14:10Z

Paul Plessiez at 13:54, 29 November 2023

2023-11-29T13:54:06Z

Paul Plessiez: Created page with "{{Model |Full_Model_Name=Antares-Simulator |Acronym=Antares-Simulator |author_institution=RTE |contact_persons=Paul Plessiez, Jean-Marc Janin, Romain Rousselin-Reinhardt |cont..."

2023-11-29T13:53:05Z

Created page with "{{Model |Full_Model_Name=Antares-Simulator |Acronym=Antares-Simulator |author_institution=RTE |contact_persons=Paul Plessiez, Jean-Marc Janin, Romain Rousselin-Reinhardt |cont..."

New page

{{Model
|Full_Model_Name=Antares-Simulator
|Acronym=Antares-Simulator
|author_institution=RTE
|contact_persons=Paul Plessiez, Jean-Marc Janin, Romain Rousselin-Reinhardt
|contact_email=paul.plessiez@rte-france.com
|website=https://antares-simulator.org/
|source_download=https://antares-simulator.org/pages/antares-simulator/6/
|logo=AntaresSimulator Logo-CMJN.jpg
|text_description=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.
|Primary outputs=Optimal investment planning, production plans, capital and operational costs, resource adequacy
|User documentation=https://antares-doc.readthedocs.io/en/latest/
|Code documentation=https://antares-simulator.readthedocs.io/en/latest/build/0-INSTALL/
|Number of developers=10
|Number of users=40
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=Yes
|Link to source=https://github.com/AntaresSimulatorTeam/Antares_Simulator/
|data_availability=some
|open_future=No
|modelling_software=C++, C
|processing_software=Python, TypeScript
|External optimizer=Sirius, Xpress
|GUI=Yes
|model_class=Capacity Expansion Problem, Production Cost Model
|sectors=Electricity, Methane, Hydrogen, Heat
|technologies=Renewables, Conventional Generation, CHP
|Demand sectors=Households, Industry, Transport, Commercial sector
|Energy carrier (Gas)=Natural gas, Hydrogen
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Transfer (Heat)=Transmission
|Storage (Electricity)=Battery, CAES, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=Central Planner
|Market models=Central Planner prospective, similar to Day-Ahead market
|decisions=dispatch, investment
|Changes in efficiency=Yes
|georegions=Europe
|georesolution=NUTS0 - NUTS2
|timeresolution=Hour
|network_coverage=transmission, DC load flow, net transfer capacities
|Observation period=More than one year
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=Investment planning: optimization based on Benders decomposition
Dispatch : simulation based on MILP
|math_objective=socio-economic welfare, investment costs, greenhouse gas emissions
|deterministic=Monte-Carlo methods, myopic week-ahead foresight
|is_suited_for_many_scenarios=Yes
|montecarlo=Yes
|computation_time_minutes=20 minutes on a Monte-Carlo year for a pan-European system (the solving of Monte-Carlo years can be parallelized)
|computation_time_hardware=Standard PC
|computation_time_comments=Monte-Carlo years solving can be parallelized, significantly reducing the computation time when many MC years are simulated
|citation_references=A New tool for adequacy reporting of electric systems. CIGRE 2008, C1-305 (M. Doquet, R. Gonzalez, S. Lepy, E. Momot, F. Verrier)
|report_references=- 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?
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 52: / Line 52: @@
 |is_suited_for_many_scenarios=Yes
 |montecarlo=Yes
-|computation_time_minutes=20 minutes on a Monte-Carlo year for a pan-European system
+|computation_time_minutes=20
 |computation_time_hardware=Standard PC
-|computation_time_comments=Monte-Carlo years solving can be parallelized, significantly reducing the computation time when many MC years are simulated
+|computation_time_comments=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
 |citation_references=A New tool for adequacy reporting of electric systems. CIGRE 2008,  C1-305 (M. Doquet, R. Gonzalez, S. Lepy, E. Momot, F. Verrier)
 |report_references=- RTE, "Energy Pathways to 2050", https://assets.rte-france.com/prod/public/2022-01/Energy%20pathways%202050_Key%20results.pdf