Demand Response Model for Optimized Use of Renewable Energies in Production

Authors

DOI:

https://doi.org/10.52825/thwildauensp.v1i.18

Keywords:

Demand-Response, Smart-Grid, Cloud-Platform, IOT, Industry 4.0

Abstract

A demand-response model was developed in the Automation Technology Laboratory at the Velbert/Heiligenhaus Campus (CVH) of Bochum University of Applied Sciences, in which energy users in the manufacturing sector are networked with a smart grid via a cloud platform in order to control production based on the supply of renewable energies.

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References

Klima und Energie. http://www.hightech-strategie.de/de/83.php. Accessed 2018 December 18.

Neugebauer R, Westkämper E, Klocke F, Kuhn A, Schenk M, Michaelis A, Spath D, Weidner E. Energieeffizienz in der Produktion. Untersuchung zum Handlungs- und Forschungsbedarf. München: Fraunhofer Gesellschaft; 2008.

Industrie 4.0. http://www.hightech-strategie.de/de/59.php. Accessed 2018 December 6.

Du P, Lu N, Zhong H. Demand Response in Smart Grids. 1. Springer International Publishing; 2019. https://doi.org/10.1007/978-3-030-19769-8

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Published

2021-06-15

How to Cite

Faller, C., Podjawerschek, S. ., Co, A. ., Dannehl, M. ., Heimbach, M. P., & Ibrahima Nadiaye, S. . (2021). Demand Response Model for Optimized Use of Renewable Energies in Production. TH Wildau Engineering and Natural Sciences Proceedings , 1. https://doi.org/10.52825/thwildauensp.v1i.18

Conference Proceedings Volume

Vol. 1 (2021): 2nd German-West African Conference on Sustainable, Renewable Energy Systems (SusRES2021)

Section

Smart Grids

License

Copyright (c) 2021 Clemens Faller, Sonja Podjawerschek, Armin Co, Markus Dannehl, Moritz Paul Heimbach, Sory Ibrahima Nadiaye

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.