https://wiki.openmod-initiative.org/api.php?action=feedcontributions&feedformat=atom&user=Mihail+Ketov 2026-05-28T00:33:45Z User contributions MediaWiki 1.19.7 https://wiki.openmod-initiative.org/wiki/Maon 2026-05-09T11:51:03Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Elias El Abd, Mihael Nikolić, Nicolai Schmid, Dariush Wahdany, Aiwen Wang, Mark Schäfer, Anton Kucherenko, Söhnke Hartmann, Huangluolun Zhou, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Borderless Transparent.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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 measures.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=25<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1,000,000,000<br /> |montecarlo=Yes<br /> |computation_time_minutes=300<br /> |computation_time_hardware=high performance computing cluster<br /> |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, without facility-wise aggregations<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2026-02-02T08:51:00Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Borderless Transparent.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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 measures.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=25<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1,000,000,000<br /> |montecarlo=Yes<br /> |computation_time_minutes=300<br /> |computation_time_hardware=high performance computing cluster<br /> |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, without facility-wise aggregations<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2025-11-26T10:43:01Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Borderless Transparent.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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 measures.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=25<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=300<br /> |computation_time_hardware=high performance computing cluster<br /> |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, without facility-wise aggregations<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2025-11-25T20:12:47Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Borderless Transparent.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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 measures.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=25<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=300<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2025-11-05T17:19:39Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Borderless Transparent.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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 measures.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2025-11-05T17:17:41Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Borderless Transparent.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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 measures.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/File:Maon_Colors_Borderless_Transparent.png 2025-11-05T17:17:32Z

<p>Mihail Ketov: Maon © 2025</p> <hr /> <div>Maon © 2025</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/File:Maon_Colors.png 2025-11-05T17:16:08Z

<p>Mihail Ketov: Maon GmbH © 2025</p> <hr /> <div>Maon GmbH © 2025</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2025-05-31T17:55:39Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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 measures.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2025-01-13T20:00:09Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-29T20:21:59Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity plus couplings (industry, commercial, households, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-29T20:20:24Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity wholesale 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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-21T18:44:49Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-20T08:54:18Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-20T08:53:42Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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 for a continent. Further, it can predict capacities and uncertainties of generators, interconnectors, storages, and consumers.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-19T19:27:31Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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 of a continent. Further, it can predict capacities and uncertainties of generators, interconnectors, storages, and consumers.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-19T19:25:55Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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 continents. Further, it can predict capacities and uncertainties of generators, interconnectors, storages, and consumers.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-04T10:43:12Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-04T10:42:56Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |source_download=https://apis.cloud.maon.eu/<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-03T15:04:44Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-03T14:45:37Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Documentation, https://docs.cloud.maon.eu.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-03T14:44:16Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://maon.eu<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-11-03T14:42:37Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://docs.cloud.maon.eu/<br /> |Code documentation=https://docs.cloud.maon.eu/<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-08-09T17:25:55Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of dispatch and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-08-09T17:25:06Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational and investment cost<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-08-09T17:24:25Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of investment and operational costs<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-08-09T17:23:28Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of investment and operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-07-28T19:09:08Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |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<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-09T07:29:50Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-09T07:29:10Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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. Additionally, it can predict capacities and uncertainties of generators, interconnectors, stoages, and consumers.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-08T18:30:54Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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. Besides the dispatch, it can also predict capacities and uncertainties of future market equilibria.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-08T15:23:34Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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. Consistently with the dispatch, it can also predict capacities and uncertainties of future market equilibria.<br /> <br /> 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.<br /> <br /> 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.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-08T15:22:12Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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. Consistently with the dispatch, it can also predict capacities and uncertainties of future market equilibria.<br /> <br /> 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.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also capture rates, costs, price distributions, revenues, utilizations, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-08T15:21:39Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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. Consistently with the dispatch, it can also predict investments and uncertainties of future market equilibria.<br /> <br /> 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.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also capture rates, costs, price distributions, revenues, utilizations, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-08T15:19:48Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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. Consistently with the dispatch, it can predict investments and uncertainties of future market equilibria.<br /> <br /> 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.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also capture rates, costs, price distributions, revenues, utilizations, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-08T15:14:23Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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. Consistently with the dispatch, it can predict investments and uncertainties of future market equilibria.<br /> <br /> 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.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also revenues, costs, utilizations, capture rates, price distributions, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-04-08T07:43:58Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |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.<br /> <br /> 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.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also revenues, costs, utilizations, capture rates, price distributions, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for 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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-03-20T14:27:04Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas, and emission market analysis. It forecasts the facility-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also revenues, costs, utilizations, capture rates, price distributions, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for 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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-03-15T09:02:30Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas, and emission market analysis. It forecasts the facility-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also revenues, costs, utilizations, capture rates, price distributions, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for 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<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-03-15T09:01:37Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas, and emission market analysis. It forecasts the facility-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and exchanges, but also revenues, costs, utilizations, capture rates, price distributions, and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for 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 unit-wise aggregations<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-03-15T09:00:17Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the facility-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for 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 unit-wise aggregations<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-28T19:23:13Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the unit-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for 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 unit-wise aggregations<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-27T18:14:21Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the unit-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region with spot, FCR, aFRR, mFRR, emission, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC, and on-off decision model, but without unit-wise aggregations<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-27T18:12:38Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the unit-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig spot, FCR, aFRR, mFRR, emission, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-27T18:11:43Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the unit-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig spot, FCR, aFRR, mFRR, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-23T11:58:39Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the unit-wise hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-23T11:58:24Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the hourly unit-wise dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-23T11:58:11Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only results like prices, dispatches and exchanges, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-23T10:39:48Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only unit-wise results for price, dispatch and exchange, but also revenues, costs, utilizations, capture rates, price distributions and thousands of other results.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-12T18:31:57Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only unit-wise results for price, dispatch and exchange, but also data for revenues, costs, utilizations, capture rates, price distributions and thousands of others.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov https://wiki.openmod-initiative.org/wiki/Maon 2024-02-12T18:25:46Z

<p>Mihail Ketov: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Maon<br /> |Acronym=Maon<br /> |author_institution=Maon GmbH<br /> |authors=Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Mark Schäfer, Kai Strunz, Albert Moser<br /> |contact_persons=Dr. Mihail Ketov<br /> |contact_email=info@maon.eu<br /> |website=https://cloud.maon.eu/handbook<br /> |source_download=https://apis.cloud.maon.eu<br /> |logo=Maon Colors Frontpage Header.png<br /> |text_description=Maon is a market simulation for fundamental electricity, gas and emission market analysis. It forecasts the hourly dispatch of all supply and demand in whole Europe.<br /> <br /> 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 jointly visually analyzed.<br /> <br /> Users get support by work-leveraging parameterization tools, comprehensive quality checks and interactive visualizations. Maon provides not only unit-wise results for price, dispatch and exchange, but also data for revenues, costs, utilizations, capture rates, price distributions and thousands more.<br /> |Support=commercial<br /> |User documentation=https://cloud.maon.eu/handbook<br /> |Code documentation=https://cloud.maon.eu/handbook<br /> |Source of funding=private<br /> |Number of developers=10<br /> |Number of users=1000<br /> |open_source_licensed=No<br /> |model_source_public=No<br /> |data_availability=all<br /> |open_future=No<br /> |modelling_software=C++<br /> |processing_software=Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, TypeScript, WebAssembly<br /> |Additional software=Only browser and internet connection required<br /> |GUI=Yes<br /> |model_class=Mixed-Integer Quadratic Programming (MIQP)<br /> |sectors=Electricity, gas and emissions plus couplings (industry, heat, transport)<br /> |technologies=Renewables, Conventional Generation, CHP<br /> |Demand sectors=Households, Industry, Transport, Commercial sector, Other<br /> |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen<br /> |Energy carrier (Liquid)=Diesel, Ethanol, Petrol<br /> |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium<br /> |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Transfer (Gas)=Distribution, Transmission<br /> |Transfer (Heat)=Distribution, Transmission<br /> |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS<br /> |Storage (Gas)=Yes<br /> |Storage (Heat)=Yes<br /> |decisions=dispatch, investment<br /> |Changes in efficiency=Individual efficiency per operating point<br /> |georegions=Europe, North Africa, Middle East<br /> |georesolution=Individual power stations<br /> |timeresolution=Hour<br /> |network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities<br /> |Observation period=Less than one month, Less than one year, More than one year<br /> |math_modeltype=Optimization, Simulation, Other, Agent-based<br /> |math_objective=Minimization of operational costs for electricity spot and frequency reserve markets considering emission caps<br /> |deterministic=Monte Carlo, preprocessing or sensitivity<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=1000000000<br /> |montecarlo=Yes<br /> |computation_time_minutes=1000<br /> |computation_time_hardware=high performance computing cluster<br /> |computation_time_comments=8760 coupled hours for full European region includig renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model<br /> |citation_references=Maon GmbH, Handbook, https://cloud.maon.eu/handbook.<br /> |report_references=https://maon.eu/publications<br /> |Interfaces=Front-end at https://cloud.maon.eu and APIS at https://apis.cloud.maon.eu<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Mihail Ketov