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| | |contact_email=info@maon.eu | | |contact_email=info@maon.eu |
| | |website=https://maon.eu | | |website=https://maon.eu |
| − | |source_download=https://apis.cloud.maon.eu
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| | |logo=Maon Colors Frontpage Header.png | | |logo=Maon Colors Frontpage Header.png |
| − | |text_description=Maon is a market simulation for fundamental electricity, gas, and emission market analysis. It forecasts the facility-wise quarter-hourly dispatch of all supply and demand in whole Europe. Further, it can predict capacities and uncertainties of generators, interconnectors, storages, and consumers. | + | |text_description=Maon is a market simulation for fundamental electricity, gas, and emission market analysis. It forecasts the facility-level quarter-hourly dispatch of all supply and demand across a continent. Further, it can predict capacities and uncertainties of generators, interconnectors, storages, and consumers. |
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| | Web browsers provide access to the data management, simulation, and analysis environment. It enables high-speed, high-resolution, and large-scale foresights. Scenarios can be parameterized by multiple users at the same time, calculated by one click, and collaboratively visually analyzed. | | Web browsers provide access to the data management, simulation, and analysis environment. It enables high-speed, high-resolution, and large-scale foresights. Scenarios can be parameterized by multiple users at the same time, calculated by one click, and collaboratively visually analyzed. |
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| − | Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and capacities, but also capture rates, costs, price distributions, revenues, utilizations, and thousands of other results. | + | Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and capacities, but also capture rates, costs, price distributions, revenues, utilizations, and many other parameters. |
| | |Support=commercial | | |Support=commercial |
| | |User documentation=https://docs.cloud.maon.eu/ | | |User documentation=https://docs.cloud.maon.eu/ |
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| | |computation_time_hardware=high performance computing cluster | | |computation_time_hardware=high performance computing cluster |
| | |computation_time_comments=dispatch for 8760 coupled hours in full European region with spot, FCR, aFRR, mFRR, emission, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC, HVDC and on-off decision model, but without facility-wise aggregations | | |computation_time_comments=dispatch for 8760 coupled hours in full European region with spot, FCR, aFRR, mFRR, emission, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC, HVDC and on-off decision model, but without facility-wise aggregations |
| − | |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook. | + | |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu. |
| | |report_references=https://maon.eu/publications | | |report_references=https://maon.eu/publications |
| | |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu | | |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu |
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Maon
by Maon GmbH
Authors:
Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Ali Baran Gündüz, Anton Kucherenko, Söhnke Hartmann, Kai Strunz, Albert Moser
Contact:
Dr. Mihail Ketov
|
Maon is a market simulation for fundamental electricity, gas, and emission market analysis. It forecasts the facility-level quarter-hourly dispatch of all supply and demand across a continent. Further, it can predict capacities and uncertainties of generators, interconnectors, storages, and consumers.
Web browsers provide access to the data management, simulation, and analysis environment. It enables high-speed, high-resolution, and large-scale foresights. Scenarios can be parameterized by multiple users at the same time, calculated by one click, and collaboratively visually analyzed.
Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and capacities, but also capture rates, costs, price distributions, revenues, utilizations, and many other parameters.
Based on C++. Using Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly for data processing.
Website / Documentation
|
 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
|
Mixed-Integer Quadratic Programming (MIQP)
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| Sectors
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Electricity, gas and emissions plus couplings (industry, heat, transport)
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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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Europe, North Africa, Middle East
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| Geographic Resolution
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Individual power stations
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| Time resolution
|
Hour
|
| Network coverage
|
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
|
|
|
|
| Variables
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1000000000
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| Computation time
|
1000 minutes (dispatch for 8760 coupled hours in full European region with spot, FCR, aFRR, mFRR, emission, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC, HVDC and on-off decision model, but without facility-wise aggregations)
|
| Objective
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Minimization of dispatch and investment cost
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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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