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Maon
by Maon GmbH
Authors:
String representation "Mihail Ketov, F … z, Albert Moser" is too long.
Contact:
Dr. Mihail Ketov
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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.
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, 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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| 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, Agent-based
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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 renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model)
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| Objective
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Maximization of total social welfare at electricity spot, frequency reserve and emission markets in Europe
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| Uncertainty modeling
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Monte Carlo, preprocessing or sensitivity
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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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