| Author institution
|
Maon GmbH +
|
| Authors
|
Mihail Ketov, Fabian Breitkreutz, Yash Patel, Sangeetha Kadarkarai, Hajar Mouchrik, Nicolai Schmid, Dariush Wahdany, Kaan Gecü, Ömer Bilgin, Ali Baran Gündüz, Anton Kucherenko, Söhnke Hartmann, Kai Strunz, Albert Moser +
|
| Citation references
|
Maon GmbH, Documentation, https://docs.cloud.maon.eu.
|
| Computation time comments
|
dispatch for 8760 coupled hours in full European region with spot, FCR, aFRR, mFRR, emission, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC, HVDC and on-off decision model, but without facility-wise aggregations
|
| Computation time minutes
|
1,000 +
|
| Contact email
|
info@maon.eu +
|
| Contact persons
|
Dr. Mihail Ketov +
|
| Data availability
|
all +
|
| Decisions
|
dispatch +
, investment +
|
| Deterministic
|
Monte Carlo, preprocessing or sensitivity +
|
| Full Model Name
|
Maon +
|
| Georegions
|
Europe, North Africa, Middle East +
|
| Georesolution
|
Individual power stations +
|
| Is suited for many scenarios
|
true +
|
| Math modeltype
|
Optimization +
, Simulation +
, Other +
, Agent-based +
|
| Math objective
|
Minimization of dispatch and investment cost +
|
| Model class
|
Mixed-Integer Quadratic Programming (MIQP) +
|
| Model source public
|
false +
|
| Modelling software
|
C++ +
|
| Network coverage
|
transmission +
, distribution +
, AC load flow +
, DC load flow +
, net transfer capacities +
|
| Number of variables
|
1,000,000,000 +
|
| Open future
|
false +
|
| Open source licensed
|
false +
|
| Processing software
|
Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly +
|
| Report references
|
https://maon.eu/publications
|
| Sectors
|
transport) +
, Electricity plus couplings (industry +
, commercial +
, households +
|
| Technologies
|
Renewables +
, Conventional Generation +
, CHP +
|
| Text description
|
Maon is a market simulation for fundamenta … 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.
Web browsers provide access to the data management, simulation, and analysis environment. It enables high-speed, high-resolution, and large-scale foresights. Scenarios can be parameterized by multiple users at the same time, calculated by one click, and collaboratively visually analyzed.
Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and capacities, but also capture rates, costs, price distributions, revenues, utilizations, and many other parameters., utilizations, and many other parameters.
|
| Timeresolution
|
Hour +
|
| Website
|
https://maon.eu +
|
| Creation dateThis property is a special property in this wiki.
|
15 September 2019 19:55:30 +
|
| Has improper value forThis property is a special property in this wiki.
|
Source download +
|
| Categories |
Model +
|
| Last editor isThis property is a special property in this wiki.
|
User:Mihail Ketov +
|
| Modification dateThis property is a special property in this wiki.
|
13 January 2025 20:00:09 +
|
| Is a new pageThis property is a special property in this wiki.
|
false +
|
