Energy Management Systems and Energy System Optimization

At the Chair, we develop intelligent solutions for controlling and optimizing complex energy systems. The aim of our work is to design efficient, cost-optimized and sustainable load flows – from industrial plants, building infrastructures and vehicle concepts to district and grid-connected applications.

A central focus is on the optimization of energy systems in an overall context. This includes the intelligent linking of different forms of energy, the coordinated use of local energy sources in terms of time and cost and, in particular, the integration of storage systems to increase flexibility. Our optimization strategies aim to provide energy in line with demand and with the lowest possible emissions, while at the same time reducing costs.

In the field of energy management systems (EMS), we develop robust regulation and control processes that allow energy flows to be managed dynamically and purposefully at system level. In doing so, we take into account a wide range of requirements – from optimizing operating costs and complying with technical constraints to maximizing the use of renewable energies.

One focus is on ensuring system stability and resilience: our methods help to ensure reliable operation even in the event of disruptions, fluctuating generation or peak loads. We rely on scalable, real-time-capable architectures and modern, AI-supported optimization and forecasting methods.

Our research processes are carried out as part of publicly funded projects, both with academic partners and in close cooperation with industrial companies. We also work on specific application issues on behalf of industry. You can find an insight into our technical infrastructure on the [Infrastruktur und Laboreinrichtung] page, and a selection of ongoing and completed research and development projects under [geförderte Projekte].