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| | |Acronym=Maon | | |Acronym=Maon |
| | |author_institution=Maon GmbH | | |author_institution=Maon GmbH |
| − | |authors=Mihail Ketov, Fabian Pfannes, Huangluolun Zhou, Dariush Wahdany, Nicolai Schmid | + | |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_persons=Dr.-Ing. Mihail Ketov | + | |contact_persons=Dr. Mihail Ketov |
| | |contact_email=info@maon.eu | | |contact_email=info@maon.eu |
| − | |website=https://www.maon.eu/ | + | |website=https://maon.eu |
| − | |logo=20190709 MAON.jpg | + | |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-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. |
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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. |
| | |Support=commercial | | |Support=commercial |
| − | |User documentation=https://cloud.maon.eu/handbook | + | |User documentation=https://docs.cloud.maon.eu/ |
| − | |Code documentation=https://cloud.maon.eu/handbook | + | |Code documentation=https://docs.cloud.maon.eu/ |
| | |Source of funding=private | | |Source of funding=private |
| | + | |Number of developers=10 |
| | + | |Number of users=1000 |
| | |open_source_licensed=No | | |open_source_licensed=No |
| | |model_source_public=No | | |model_source_public=No |
| | + | |data_availability=all |
| | |open_future=No | | |open_future=No |
| | |modelling_software=C++ | | |modelling_software=C++ |
| − | |processing_software=Kubernetes, MinIO, MongoDB, Preact, Node.js, GraphQL, Python, WebAssembly, GCC, cURL, OpenMPI | + | |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly |
| − | |External optimizer=IBM CPLEX
| + | |Additional software=Only browser and internet connection required |
| − | |Additional software=Only current browser and internet connection required | + | |
| | |GUI=Yes | | |GUI=Yes |
| | |model_class=Mixed-Integer Quadratic Programming (MIQP) | | |model_class=Mixed-Integer Quadratic Programming (MIQP) |
| − | |sectors=Electricity plus sector couplings (industry, heat, transport, gas) | + | |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport) |
| | |technologies=Renewables, Conventional Generation, CHP | | |technologies=Renewables, Conventional Generation, CHP |
| | |Demand sectors=Households, Industry, Transport, Commercial sector, Other | | |Demand sectors=Households, Industry, Transport, Commercial sector, Other |
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| | |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind | | |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind |
| | |Transfer (Electricity)=Distribution, Transmission | | |Transfer (Electricity)=Distribution, Transmission |
| | + | |Transfer (Gas)=Distribution, Transmission |
| | + | |Transfer (Heat)=Distribution, Transmission |
| | |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS | | |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS |
| − | |Storage (Gas)=No | + | |Storage (Gas)=Yes |
| − | |Storage (Heat)=No | + | |Storage (Heat)=Yes |
| − | |decisions=dispatch | + | |decisions=dispatch, investment |
| | |Changes in efficiency=Individual efficiency per operating point | | |Changes in efficiency=Individual efficiency per operating point |
| − | |georegions=ENTSO-E members | + | |georegions=Europe, North Africa, Middle East |
| | |georesolution=Individual power stations | | |georesolution=Individual power stations |
| | |timeresolution=Hour | | |timeresolution=Hour |
| | |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities | | |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities |
| | |Observation period=Less than one month, Less than one year, More than one year | | |Observation period=Less than one month, Less than one year, More than one year |
| − | |math_modeltype=Optimization, Simulation, Other | + | |math_modeltype=Optimization, Simulation, Other, Agent-based |
| − | |math_objective=Economic welfare at electricity spot, electricity reserve, and emission markets in Europe | + | |math_objective=Minimization of dispatch and investment cost |
| − | |is_suited_for_many_scenarios=No | + | |deterministic=Monte Carlo, preprocessing or sensitivity |
| − | |number_of_variables=100000000 | + | |is_suited_for_many_scenarios=Yes |
| − | |montecarlo=No | + | |number_of_variables=1000000000 |
| − | |computation_time_minutes=1500 | + | |montecarlo=Yes |
| − | |computation_time_comments=backcasting 2018 with detailed hydro, CHP, DSR and FBMC model in hourly resolution with all ENTSO-E bidding zones | + | |computation_time_minutes=1000 |
| − | |citation_references=Ketov, Mihail (2019). "Marktsimulationen unter Berücksichtigung der Strom-Wärme-Sektorenkopplung", Print Production, Aachener Beiträge zur Energieversorgung, volume 189, PhD thesis, RWTH Aachen University. | + | |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 |
| | + | |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu. |
| | + | |report_references=https://maon.eu/publications |
| | + | |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu |
| | |Model input file format=No | | |Model input file format=No |
| | |Model file format=No | | |Model file format=No |
| | |Model output file format=No | | |Model output file format=No |
| | }} | | }} |
