Tobias Lademann M.Sc.

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Research Group ETA | Energy Technologies and Applications in Production

Research focus on Climate Neutral Production Infrastructure

EISKIG | Energy Intelligence System for smart Cooling Systems in Industrial Buildings

Since the winter semester 2023/2024 Mr. Lademann is in charge of the tutorial Simulation of Supply Systems in Production .

This tutorial provides an introduction to dynamic simulation and possible areas of application in an industrial context with energy relevance. For this purpose, an overview of suitable simulation environments and modeling approaches as well as relevant basics on industrial supply systems is provided. The focus is on the Modelica language and the simulation environment Dymola from Dassault Systèmes. Here, students can learn about the development of object-oriented model/simulation libraries and advanced simulation techniques (FMI model export, co-simulation, coupling with mathematical optimization). Finally, the simulation tools are applied to concrete case studies from production.

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as well as the subject area “Operational Control” in the lecture Machine Learning Applications by Prof. Weigold in the Master's program.

This takes place in collaboration with Prof. Metternich, Prof. Klingauf (FSR) and Prof. Kersting (Department of Computer Science). The lecture combines engineering problems with modern methods of machine learning in the context of artificial intelligence. Starting from the mathematical theory of the methods, the methods are explained on the basis of relevant practical examples from the manufacturing industry and critically questioned from the perspective of engineering science. Examples include the use of machine learning for operational optimization, maintenance, in energy management or in quality assurance. In a practical project, students can test their newly acquired knowledge directly on real data from industry.