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

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7 Citationer (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.
OriginalsprogEngelsk
Titel2013 IEEE International Conference on Control Applications (CCA)
ForlagIEEE
Publikationsdato2013
Sider314-321
DOI
StatusUdgivet - 2013
BegivenhedIEEE International Conference on Control Applications - Hyderabad, Indien
Varighed: 28 aug. 201330 aug. 2013

Konference

KonferenceIEEE International Conference on Control Applications
Land/OmrådeIndien
ByHyderabad
Periode28/08/201330/08/2013
NavnIEEE International Conference on Control Applications

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