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Laboratory for Smart Energy Systems

Smart Energy Systems

Research group and laboratory

Digital twin models of battery systems

Developing and refining models for mapping battery systems in open-source code libraries; monitoring and visualising storage operation

Optimised and AI-based storage control

Design optimisation and control of storage systems in smart grids using linear optimisation, stochastic optimisation and reinforcement learning

Sustainable and efficient storage systems

Developing algorithms to control storage sustainably and efficiently: CO2-optimised control and evaluation of strategies for “second-life” utilisation of battery systems

Ageing prediction

Predicting the ageing behaviour of lithium-ion batteries and battery systems

The research professorship in “Smart Energy Systems” was instated at Kempten University of Applied Sciences in autumn 2022. The aim of the research group is to use modern optimisation processes and machine learning methods to enable the optimal design and operational management of battery storage systems in energy systems. With regard to the sustainability of our energy system, existing technical solutions are optimised in terms of functionality, efficiency and flexibility. Professor Holger Hesse – previously a research group leader at the Technical University of Munich – has been working for some time on the design and operation of stationary battery storage systems in applications within the energy industry.