Modelling of a food processing plant for industrial demand side management
- Industrial demand side management has shown significant potential to increase the efficiency of industrial energy systems via flexibility management by model-driven optimization methods. We propose a grey-box model of an industrial food processing plant. The model relies on physical and process knowledge and mass and energy balances. The model parameters are estimated using a predictive error method. Optimization methods are applied to separately reduce the total energy consumption, total energy costs and the peak electricity demand of the plant. A viable potential for demand side management in the plant is identified by increasing the energy efficiency, shifting cooling power to low price periods or by peak load reduction.
Author: | Philipp Wohlgenannt, Gerhard Huber, Klaus RheinbergerORCiD, Markus PreißingerORCiD, Peter KepplingerORCiD |
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DOI: | https://doi.org/10.5281/zenodo.7234548 |
Parent Title (English): | 9th Heat Powered Cycles Conference Proceedings. 10-13 April 2022. University of the Basque Country, Bilbao, Spain. |
Publisher: | Heat Powered Cycles |
Place of publication: | o.O. |
Editor: | Roger Riehl |
Document Type: | Conference Proceeding |
Language: | English |
Year of publication: | 2022 |
Release Date: | 2022/11/29 |
Tag: | grey-box model; industrial demand side management; intelligent thermal energy system; processed food plant |
Number of pages: | 12 |
First Page: | 638 |
Last Page: | 649 |
Organisationseinheit: | Forschung |
Forschung / Forschungszentrum Energie | |
Forschung / Josef Ressel Zentrum für Intelligente Thermische Energiesysteme | |
DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |
Open Access?: | ja |
Peer review: | wiss. Beitrag, peer-reviewed |
Publicationlist: | Rheinberger, Klaus |
Kepplinger, Peter | |
Preißinger, Markus | |
Wohlgenannt, Philipp | |
Licence (German): | Creative Commons - CC BY - International - Attribution- Namensnennung 4.0 |