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Co-Simulation of Multi-Modal Energy Systems

Co-Simulation of Multi-Modal Energy Systems The group “Co-Simulation of Multi-Modal Energy Systems” develops solutions for the simulation-supported development and validation of new components and control architectures in energy supply and establishes analysis methods for complex energy systems that utilize couplings between different energy networks based on conversion and storage capacities.

The energy transition inevitably increases the complexity of the formerly centralized, information-poor energy supply system. The future system dynamics will result from the interactions of decentralized generators, weather phenomena, market mechanisms, new user behavior (e.g. e-mobility) and coupling of previously separate energy areas (e.g. electrical, gas transmission and district heating networks). The development of an ICT infrastructure with extensive information exchange is necessary to ensure an optimal energy supply for such a wide range of interactions.

The development and integration of suitable ICT systems and future decentralized energy resources is based on a multi-stage process. Initial conceptual designs of new technologies are tested using analytical methods, while extensive field tests are carried out at the end of the development process. The transition between these two stations requires methods that are cheaper and more flexible than field tests, but at the same time reflect system complexity better than analytical approaches.

The group "Co-Simulation of Multi-Modal Energy Systems" (COM) specializes in simulation-based system analysis for the development and validation of new components and architectures of the distribution grid. A modular co-simulation approach is used, which allows different aspects of the energy system to be combined via partial models in the simulation framework "mosaik". Mosaik enables the integration of independently developed simulation models, regardless of their domain or formal description. Common simulation scenarios create a dynamic data exchange between these models. Thus, the approach acts as a collaboration platform for domain experts of a wide range of areas influencing the future energy supply, such as electrical engineering, ICT, economics and meteorology.