| Author institution
|
Maon GmbH +
|
| Authors
|
Mihail Ketov, Fabian Pfannes, Huangluolun Zhou, Nicolai Schmid, Dariush Wahdany, Yash Patel, Kaan Gecü, Ömer Bilgin, Esmanur Eryilmaz, Ali Baran Gündüz, Marios Morfopoulos, Sangeetha Kadarkarai, Mark Schäfer, Kai Strunz, Albert Moser +
|
| Citation references
|
Ketov, Mihail (2019). "Marktsimulationen unter Berücksichtigung der Strom-Wärme-Sektorenkopplung", Print Production, Aachener Beiträge zur Energieversorgung, volume 189, PhD thesis, RWTH Aachen University.
|
| Computation time comments
|
8760 coupled hours for ENTSO-E region includig renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC and on-off decision model
|
| 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
|
ENTSO-E members +
|
| Georesolution
|
Individual power stations +
|
| Is suited for many scenarios
|
true +
|
| Math modeltype
|
Optimization +
, Simulation +
, Other +
, Agent-based +
|
| Math objective
|
Maximization of social welfare at electricity spot, frequency reserve, natural gas and emission markets in Europe +
|
| Model class
|
Mixed-Integer Quadratic Programming (MIQP) +
|
| Model source public
|
false +
|
| Modelling software
|
C++, OpenMPI, CPLEX +
|
| 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
|
Kubernetes, Docker, Ansible, Ceph, MinIO, MongoDB, Preact, Node.js, GraphQL, Python, WebAssembly, cURL +
|
| Sectors
|
heat +
, Electricity +
, gas and emissions plus couplings (industry +
, transport) +
|
| Source download
|
https://apis.cloud.maon.eu/ +
|
| Technologies
|
Renewables +
, Conventional Generation +
, CHP +
|
| Text description
|
Maon is a simulation environment for funda … Maon is a simulation environment for fundamental electricity, gas and emission market analysis. It simulates the annual coupled dispatch of all supply and demand for 8760 hours in whole Europe.
Web browsers provide access to the data management, simulation and analysis environment. It enables high-speed, high-resolution and large-scale market forecasts. Runs can be efficiently parameterized, carried out by one click and directly visually analyzed for historical and future scenarios.
Users get support by various parameterization tools, comprehensive data quality checks and interactive data visualizations. Results like market price, unit-wise dispatch and exchange are prepared for social welfare analysis, power-flow simulations and techno-economic assessments.mulations and techno-economic assessments.
|
| Timeresolution
|
Hour +
|
| Website
|
https://cloud.maon.eu/handbook +
|
| Creation dateThis property is a special property in this wiki.
|
15 September 2019 19:55:30 +
|
| 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.
|
24 February 2023 15:59:30 +
|
| Is a new pageThis property is a special property in this wiki.
|
false +
|
