Social-technical modelling of interdependencies for integration of companies into the multi-level energy system

• Applicants: Dr.-Ing. Bert Droste-Franke; Professorin Dr.-Ing. Johanna M.A. Myrzik
• Subject Area: Electrical Energy Systems, Power Management, Power Electronics, Electrical Machines and Drives
• Term: from 2019 to 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 409625677

The overall project contains three subprojects, which are supplementary to each other and deal with different dimensions of the transformation of the multi-level energy system. The target is to design a joint interdisciplinary model. The acronym multi-level comprises of technical devices, grid levels, interconnections to gas and heat systems as well as social activities in local, regional and supra-regional areas including various short- and long-term decisions. This contains individual persons and institutions like prosumers, companies and even political decisions. The joint approach of the project models the various entities on the different levels of the complex social-technical system within a multi-agent framework. In this respect the dynamic interdependencies and non-linear interactions within and between the technical and social modules will be modeled and analyzed. As a consequence it will be feasible to draw conclusions about scenarios and development paths and its optimization for the transformation of the energy system towards a system based on renewable energies. The following research questions are the core of this subproject as part of the overall project: - How can complex industrial supply a system with several different sources and energy efficiency constrains be modulated by within a multi-agent framework? – How can the robustness, stability and efficiency of the over coupling supply system be influenced by optimizing the industrial supply system and how is the industrial system be influences by control intervention of the over coupling system? - How can various time frames be included within one simulation framework? - How can optimization strategies of agents be modeled throughout time-frames and levels of the system? – How will the optimization and the efficiency of industrial grids be affected by industrial cooperation and virtual merger of industrial locations? – How will innovation, efficiency and the overall supply system be affected by behavior modification of companies respectively by changes in cooperation and exchange of knowledge? - How can be political and entrepreneurial desicions be implemented in the modeling framework?

• DFG Programme: Research Grants