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| | |math_modeltype=Optimization, Simulation, Other | | |math_modeltype=Optimization, Simulation, Other |
| | |math_objective=Economic welfare at electricity spot, electricity reserve, and emission markets in Europe | | |math_objective=Economic welfare at electricity spot, electricity reserve, and emission markets in Europe |
| − | |deterministic=Monte Carlo, preprocesing or sensitivity run | + | |deterministic=Monte Carlo, preprocessing or sensitivity run |
| | |is_suited_for_many_scenarios=Yes | | |is_suited_for_many_scenarios=Yes |
| | |number_of_variables=1000000000 | | |number_of_variables=1000000000 |
Revision as of 15:42, 19 September 2021
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Maon
by Maon GmbH
Authors:
Mihail Ketov, Fabian Pfannes, Huangluolun Zhou, Nicolai Schmid, Dariush Wahdany, Kai Strunz, Albert Moser
Contact:
Dr.-Ing. Mihail Ketov
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Maon is an integrated 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 European bidding zones.
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.
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.
Based on C++, OpenMPI, IBM 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
No data shipped
Not planned to open up further in the future
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| Model Scope |
Model type and solution approach |
| Model class
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Mixed-Integer Quadratic Programming (MIQP)
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| Sectors
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Electricity plus sector couplings (industry, heat, transport, gas)
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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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ENTSO-E members
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| Geographic Resolution
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Individual power stations
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| Time resolution
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Hour
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| Network coverage
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transmission, distribution, AC load flow, DC load flow, net transfer capacities
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| Model type
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Optimization, Simulation, Other
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| Variables
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1000000000
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| Computation time
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1000 minutes (8760 coupled hours for ENTSO-E region includig thermal, hydro, battery, CHP, PtG, DSR and FBMC model with on-off decisions)
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| Objective
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Economic welfare at electricity spot, electricity reserve, and emission markets in Europe
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| Uncertainty modeling
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Monte Carlo, preprocessing or sensitivity run
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Ketov, Mihail (2019). "Marktsimulationen unter Berücksichtigung der Strom-Wärme-Sektorenkopplung", Print Production, Aachener Beiträge zur Energieversorgung, volume 189, PhD thesis, RWTH Aachen University.
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