Dr.-Ing. Mihail Ketov
coordination and simulation core
Electricity market expert with ten years experience in engineering research, software development and market modelling
Market Simulation
Maon is a proven, digital and powerful market simualtion suite.
Degree of Realism
Latest research results are included in the comprehensive simulation suite so a cutting-edge degree of realism can be achieved: Flow-Based Market Coupling, hydro power cascades and on-off decisions for 8760 consecutive hours.
All-in-One
High-performance computing cluster, cloud storage, data management, simulation suite and IBM CPLEX solver are integrated into a single solution. Additionally, extensive user support and proven scenario data can be provided.
High Performance
Flexible and digital working is more important than ever before so cloud-based simulations are optimal. Maon supports non-linear and parallel work-flows for hands-on quality management and superior teamwork.
Cost Savings
For many companies going to the cloud is more economical than investing in their own IT infrastructure. The company's own IT no longer has to worry about installations, maintenance or important security updates.
Pay-per-Use
Users only pay for the storage space and simulation runs they really need. Expensive over-payments can be prevented. If more storage or calculation becomes necessary it can be adjusted at any time.
High Level of Security
Simulations in the cloud run at a high performance cluster. All cluster nodes lie physically in Germany. In times when hacker attacks are not uncommon and cybercrime is worthwhile the cloud can offer more security.
Meet and join the team
We are searching for new team members. If you are interested, please send us an application.
Dipl.-Ing. Fabian Pfannes
cloud platform and front-end
Software developer with twelve years professional experience in technical simulations and continuous integration
Huangluolun Zhou, M.Sc.
finance and business development
Management consultant with track record in large-scale electricity market simulations, data processing and project management
Nicolai Schmid
cloud platform and back-end
Full-stack web developer with know-how in container-orchestrations and single-page applications
Dariush Wahdany, B.Sc.
simulation core
Electrical engineer from the RWTH Aachen University with broad skills in C++ and Unix shell programming
Yash Patel, B.Sc.
Intern
Aspiring simulation data and Flow-Based Market Coupling (FBMC) expert
History
Research
Maon is a spin-off of the Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics (IAEW) at RWTH Aachen University and the Chair for Sustainable Electric Networks and Sources of Energy (SENSE) at TU Berlin. The company has a special proximity to research in the field of simulations for market and network analyses. Data, models and procedures for the simulation of electricity wholesale markets are jointly developed and continuously operated at one integrated and comprehensive simulation suite.
Software
The digital platform is used by transmission system operators, investors and other market parties. The software is developed with the help of own market observations – partly published in TenneT Market Reviews and umlaut Market Studies – as well as project experience with simulation tools and latest research results. Due to many years of experience in modelling and software, Maon have been used in various projects, among others by network operators to evaluate security of supply or by investors to forecast net present values.
Best practice
The solution is used by renown business consultants like E-Bridge or umlaut on several occasions, including projects for system operators, investors, ministries, exchanges and others. The long-term experience with proven market models, especially related to transmission grid usage estimation and electricity price forecasting, the in-depth energy industry expertise as well as multiple successful joint projects with leading market players make Maon valuable for efficient and resilient electricity system and market analysis.
