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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 browser-based integrated simulation environment for electricity market and system analysis. The market model simulates the annual coupled dispatch of all supply and demand for 8760 hours in every bidding zone in Europe.
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
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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 (one year in hourly resolution for ENTSO-E region with detailed thermal, hydro, battery, CHP, PtG, DSR and FBMC model)
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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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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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