Heiko Ranzau M. Sc.

Institute for Production Management, Technology and Machine Tools

ETA | Energy Technologies and Applications in Production


work +49 6151 8229-720
fax +49 6151 16-20087

Work L6|03 (ETA-Fabrik) R105
Eugen-Kogon-Straße 4
64287 Darmstadt

Research Group ETA | Energy Technologies and Applications in Production

Research Group Artificial Intelligence for Energy Systems

  • Analysis of savings and flexibility potentials of industrial energy systems
  • Simulation of energy systems

Since the winter semester 2019/2020, Mr. Ranzau is in charge of the topic “Operational Control” in the lecture “Machine Learning Applications” of 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.

In the winter semester 2020/2021, Mr. Ranzau will supervise the tutorial “Simulation of Supply Systems in Production”. This gives an introduction to dynamic simulation and possible areas of application in the industrial context with energy reference. 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 Dymola simulation environment 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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