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Maon
by Maon GmbH
Authors:
Mihail Ketov, Fabian Pfannes, Huangluolun Zhou, Dariush Wahdany, Nicolai Schmid
Contact:
Dr.-Ing. Mihail Ketov
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Based on C++. Using Kubernetes, MinIO, MongoDB, Preact, Node.js, GraphQL, Python, WebAssembly, GCC, cURL, OpenMPI for data processing.
Website / Documentation
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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
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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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100000000
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| Computation time
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1500 minutes (backtesting 2018 with detailed hydro, CHP, DSR and FBMC model in hourly resolution with all ENTSO-E bidding zones)
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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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| Suited for many scenarios / monte-carlo
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No
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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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