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| | |source_download=https://apis.cloud.maon.eu/ | | |source_download=https://apis.cloud.maon.eu/ |
| | |logo=Maon Colors Frontpage Header.png | | |logo=Maon Colors Frontpage Header.png |
| − | |text_description=Maon is a fundamental simulation environment for electricity market and system analysis. The model simulates the annual coupled dispatch of all supply and demand for 8760 hours in all bidding zones in Europe. | + | |text_description=Maon is a fundamental simulation environment for electricity, gas and emission market analysis. The model simulates the annual coupled dispatch of all supply and demand for 8760 hours in whole Europe. |
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| − | Web browsers provide access to the simulation and data management suite that derives electricity price and transmission grid usage forecasts. Runs can be carried out immediately with inputs for historical and future scenarios. | + | Web browsers provide access to the data management, simulation and analysis environment. It enables high-speed, large-scale and cross-organizational market forecasts. Runs can be efficiently parameterized, carried out by one click and visually analyzed for historical and future scenarios. |
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| − | Users get support by processing tool kits, data quality checks and geographical visualizations. Unit commitment and market price results are prepared for applications like social welfare analysis or power-flow simulations. | + | Users get support by various tool kits, comprehensive data quality checks and geographical visualizations. Results like market prices, unit-wise volumes and exchanges are prepared for social welfare analysis, power-flow simulations and techno-economic assessments. |
| | |Support=commercial | | |Support=commercial |
| | |User documentation=https://cloud.maon.eu/handbook | | |User documentation=https://cloud.maon.eu/handbook |
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| | |GUI=Yes | | |GUI=Yes |
| | |model_class=Mixed-Integer Quadratic Programming (MIQP) | | |model_class=Mixed-Integer Quadratic Programming (MIQP) |
| − | |sectors=Electricity plus sector couplings (industry, heat, transport, gas) | + | |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport) |
| | |technologies=Renewables, Conventional Generation, CHP | | |technologies=Renewables, Conventional Generation, CHP |
| | |Demand sectors=Households, Industry, Transport, Commercial sector, Other | | |Demand sectors=Households, Industry, Transport, Commercial sector, Other |
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| | |Observation period=Less than one month, Less than one year, More than one year | | |Observation period=Less than one month, Less than one year, More than one year |
| | |math_modeltype=Optimization, Simulation, Other, Agent-based | | |math_modeltype=Optimization, Simulation, Other, Agent-based |
| − | |math_objective=Maximization of total social welfare at electricity spot, frequency reserve and emission markets in Europe | + | |math_objective=Maximization of social welfare at electricity spot, frequency reserve, natural gas and emission markets in Europe |
| | |deterministic=Monte Carlo, preprocessing or sensitivity | | |deterministic=Monte Carlo, preprocessing or sensitivity |
| | |is_suited_for_many_scenarios=Yes | | |is_suited_for_many_scenarios=Yes |
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Maon
by Maon GmbH
Authors:
Mihail Ketov, Fabian Pfannes, Huangluolun Zhou, Nicolai Schmid, Dariush Wahdany, Yash Patel, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Marios Morfopoulos, Sangeetha Kadarkarai, Mark Schäfer, Kai Strunz, Albert Moser
Contact:
Dr. Mihail Ketov
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Maon is a fundamental simulation environment for electricity, gas and emission market analysis. The model simulates the annual coupled dispatch of all supply and demand for 8760 hours in whole Europe.
Web browsers provide access to the data management, simulation and analysis environment. It enables high-speed, large-scale and cross-organizational market forecasts. Runs can be efficiently parameterized, carried out by one click and visually analyzed for historical and future scenarios.
Users get support by various tool kits, comprehensive data quality checks and geographical visualizations. Results like market prices, unit-wise volumes and exchanges are prepared for social welfare analysis, power-flow simulations and techno-economic assessments.
Based on C++, OpenMPI, CPLEX. Using Kubernetes, Docker, Ansible, Ceph, MinIO, MongoDB, Preact, Node.js, GraphQL, Python, WebAssembly, cURL for data processing.
Website / Documentation
Download
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 Not Open Source
Not directly downloadable
 Input data shipped
Not planned to open up further in the future
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Ketov, Mihail (2019). "Marktsimulationen unter Berücksichtigung der Strom-Wärme-Sektorenkopplung", Print Production, Aachener Beiträge zur Energieversorgung, volume 189, PhD thesis, RWTH Aachen University.
