JENMIC - Jenbacher Microgrid Controller
Optimized control engineering solutions are the key to increasing resilience and security of supply when using renewable energy sources. The decentralized energy supply through "microgrids" is characterized by flexibility in adapting local energy generation to local consumption, stochastic generation from renewable energy sources and the available network structures. They are therefore used both to maximize efficiency by making maximum use of renewable energy generators and storage systems in industrial companies and to ensure the supply in regions with weak grids.
As part of the JENMIC project, innovative control technology solutions are being developed together with the industrial company INNIO Jenbacher GmbH & Co OG. The aim is to enable optimized joint operation of renewable energy generators and electrical and thermal storage systems with Jenbacher engines and other energy generator units using speed-controlled or grid-connected microgrid solutions. INNIO is a leading provider of energy solutions and services, empowering industries and communities to use energy more sustainably today.
© INNO Jenbacher GmbH & Co OG
With the Jenbacher engines and the digital platform myPlant, INNIO offers innovative systems for energy generation. This enables industries and communities to generate energy sustainably and operate efficiently. In the power range between 200 kW and 10 MW, the product range meets the requirements of a wide variety of economic sectors. Jenbacher engines stand for durability, quick start capability and fuel flexibility. The wide range of energy sources that can be used (e.g. biogas, biomethane and hydrogen) allows the engines to be used in a wide variety of industrial sectors.
Using model-based control approaches and adaptive control strategies, optimized solutions for the robust integration of Jenbacher motors in microgrids have already been developed in the course of the project. As the project progresses, the focus is increasingly on the interconnected operation of renewable energy generators, storage systems and engines, with the help of optimization concepts and approaches to distributed control.
- August 2020 - July 2023