01.10.2020: SiC4DC pre-project investigates energy-efficient automation systems with SiC-based power electronics

In the innovation competition “Electronics for energy-saving information and communication technology”, the SiC4DC concept, which was developed across the research sectors, was successful. In order to meet the rising energy demand of digitization due to the increasing use of electronics, sensor technology and electrical drive technology, the aim of the innovation competition is to make a significant contribution to reducing the energy consumption and thus the carbon footprint of digital technologies through electronics for innovative energy-saving ICT systems.

The project “Edge-Cloud-Energy-Management for DC-powered automation systems with SiC-based power electronics (SiC4DC)”, which is funded by the BMBF and supported by the VDI/VDE/IT project management, focuses with its concept on cross-system energy optimization of automated production systems. The use of SiC-based power electronics already leads to an increase in efficiency at hardware level, adding the integration of hybrid AC/DC networks and renewable energies, it enable cross-system energy savings and CO2 reduction. Using a fine-granular IoT sensor network, energy wastage is detected in real time and regulated by a decentralized distributed energy management system – based on self-learning processes in edge-cloud systems – in order to optimize the operation of the entire system in terms of energy consumption.

In cooperation with Fraunhofer IISB and the two associated partners Siemens and Mercedes-Benz, the components of this solution concept are being investigated in a preliminary project under the direction of the FAPS chair, including the development of a comprehensive implementation plan and the performance of a potential analysis in order to implement the SiC4DC concept in the subsequent phase of the innovation competition.

Contact:

Tobias Reichenstein, M. Sc.

Department of Mechanical Engineering
Institute for Factory Automation and Production Systems (FAPS, Prof. Franke)


Benjamin Gutwald, M.Sc.

Department of Mechanical Engineering
Institute for Factory Automation and Production Systems (FAPS)


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