Welcome
The conversion of our energy systems to sustainable energy generation requires a paradigm shift from centrally controllable generation to decentrally controllable demand and energy storage. In addition, different sectors such as electricity, heat and mobility are coupled in order to achieve maximum energetic and economic synergies.
The researchers at the Professorship for Energy Management Technologies are contributing to this energy transition by researching new technologies for the intelligent control of future energy systems across sectors and industries. Our research focus is the use of novel information technologies, in particular distributed systems, data-driven control algorithms and machine learning.
We invite you to find out more about our current research projects and visions for the future energy system here on our website.
Pump test bench
Decentralized power and heat supply of households in the post-EEG age
Grid planning Frankfurt - Optimized grid structures for power, natural gas and district heating
FORETA - Potential of micro-CHP in trade and commerce businesses
FOREnergy - Energy flexibility in production
EASYBAT - Models and generic interfaces for easy and safe Battery insertion and removal in electric vehicles
Simulation of power generation, transmission and storage in the EU
Combined heat and power (CHP) test bench
Life cycle analysis for comprehensive evaluation of electric mobility
EnergyOS – A Multi-Application EMS Platform
Storage MultiApp - Lifetime-Optimized Multi-Use Storage Systems
Join our Research Seminar
Dive deeper into our research! Join our weekly research colloquium where we present and discuss current topics. We welcome exchanges with the industry and warmly invite external experts to share their insights with us. The colloquium takes place every Wednesday from 11:30 to 12:30 in room N2816 or online. Interested parties are welcome – no registration is required.
If you would like to present or participate, you can find details here: https://collab.dvb.bayern/pages/viewpage.action?pageId=76053715