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: Chapter in Book/Report/Conference proceedingConference contribution

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 (US)
Title of host publication2013 IEEE International Conference on Control Applications, CCA 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages314-321
Number of pages8
ISBN (Print)9781479915590
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Control Applications, CCA 2013 - Hyderabad, India
Duration: Aug 28 2013Aug 30 2013

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other2013 IEEE International Conference on Control Applications, CCA 2013
Country/TerritoryIndia
CityHyderabad
Period8/28/138/30/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

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