STROM

Research association "Energy – Sector Coupling and Micro-Grids"

Logo Bayerischer Forschungsverbund STROM

The association

The research association "Energy – Sector Coupling and Micro-Grids", abbreviated to "STROM", is developing technical, organisational, planning and regulatory solutions to drive this transformation forward quickly. The integration of electricity into the heating and mobility sectors is a prerequisite for significantly increasing the share of renewable energies in these sectors. These sectors may also store renewable energy, including from intermittent sources, more effectively. The intelligent control of energy systems should avoid costly grid expansion as far as possible and make optimum use of existing infrastructure. The renovation of buildings and the use of new heating technologies must be planned and implemented together. The findings should then be taken into account in the methods for the integrated planning of electricity and heating supply structures. The interdisciplinary research association combines expertise from mathematics, engineering and computer science in order to incorporate approaches from AI research as a cross-cutting topic into individual technology developments. The CoSES Laboratory at the Munich Institute of Integrated Materials, Energy and Process (MEP), a central research platform for research on future energy systems, makes it possible to test and prequalify technologies. Scientific contributions are not limited to power-to-heat technologies, energy management systems and planning tools, but also consider regulatory and economic framework conditions.

The "STROM" research association brings together researchers from Ansbach University of Applied Sciences, Ingolstadt University of Applied Sciences, Munich University of Applied Sciences, Technical University of Munich and OTH Regensburg, as well as 26 companies from the energy sector. This research association is a prerequisite for addressing the challenges of energy transition in a practical application-oriented manner.

Information

Launching date

04.2021

End

03.2024

Funded by

Bavarian Research Foundation