Industrial Energy Efficiency

Against the backdrop of increasing resource scarcity and rising energy prices, manufacturing companies in particular face the challenge of improving their efficiency in order to remain competitive in the long term. Since operational changes and investments often involve significant risks, simulation-based analyses provide a low-risk basis for decision-making. 
In collaboration with industry partners, this research field develops solutions for modeling and specifically optimizing operational processes and energy systems. At the core of the modeling is a simulation framework for describing energy and material flows as well as logistics in production processes. Various methods are used for optimization, including mixed-integer linear programming and AI-based approaches.