Location: Munich, Germany
Technical University of Munich (TUM) is one of Europe’s leading universities, founded in 1868. In the context of INTELLIGENT project, it is represented by the Professorship of Energy Management Technologies. 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.
Role in the project: Flexibility and energy optimisation service for energy community participants – TUM develops FOS, a flexibility and energy optimisation service. It coordinates local energy flows (e.g., within a building) in an optimal way and allows LEC members to participate more effectively in P2P energy and flexibility markets. It is based on AI/ML and other optimisation methods for predicting relevant input values (e.g., electricity and heat demand, renewable generation, asset usage), computing control signals for controllable assets, and computing constraints for market participation. In particular, FOS is capable of computing the available flexibility that community members can offer on the local flexibility market and to the DSO. FOS is configured by community members based on their preferences and it translates these preferences into actionable constraints driving the local optimisation of energy flows and market participation. FOS fully automates operational control to maximise the comfort of community members but allows for fully transparent operations at the same time. By accessing the flexibility offered by energy communities via the flexibility market, DSOs can avoid congestion and reduce infrastructure and operational cost, while flexible consumers and prosumers are rewarded.
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