A Learning Based Precool Algorithm for Utilization of Foodstuff as Thermal Energy Storage

Kasper Vinther, Henrik Rasmussen, Roozbeh Izadi-Zamanabadi, Jakob Stoustrup, Andrew G. Alleyne

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

7 Citations (Scopus)
444 Downloads (Pure)

Abstract

Maintaining foodstuff within predefined temperature thresholds is important due to legislative requirements and to sustain high foodstuff quality. This is achieved using a refrigeration system. However, these systems might not be dimensioned for hot summer days or possible component performance degradation. A learning based algorithm is proposed in this paper, which precools the foodstuff in an anticipatory manner based on the saturation level in the system on recent days. The method is evaluated using a simulation model of a supermarket refrigeration system and simulations show that thermal energy can be stored in foodstuff to cope with saturation in refrigeration equipment. Additional hardware or a system model is not required, making it easy to implement the method in existing systems.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Control Applications (CCA)
PublisherIEEE
Publication date2013
Pages314-321
DOIs
Publication statusPublished - 2013
EventIEEE International Conference on Control Applications - Hyderabad, India
Duration: 28 Aug 201330 Aug 2013

Conference

ConferenceIEEE International Conference on Control Applications
Country/TerritoryIndia
CityHyderabad
Period28/08/201330/08/2013
SeriesIEEE International Conference on Control Applications

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