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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.

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Metadaten
Author:Philipp Wohlgenannt, Gerhard Huber, Klaus RheinbergerORCiD, Markus PreißingerORCiD, Peter KepplingerORCiD
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
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):License LogoCreative Commons - CC BY - International - Attribution- Namensnennung 4.0