A New Methodological Approach for the Evaluation of Scaling Up a Latent Storage Module for Integration in Heat Pumps

Gabriel Zsembinszki, Boniface Dominick Mselle, David Vérez, Emiliano Borri, Andreas Strehlow, Birgo Nitsch, Andrea Frazzica, Valeria Palomba and Luisa F. Cabeza
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Gabriel Zsembinszki: GREiA Research Group, Universitat de Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain
Boniface Dominick Mselle: GREiA Research Group, Universitat de Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain
David Vérez: GREiA Research Group, Universitat de Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain
Emiliano Borri: GREiA Research Group, Universitat de Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain
Andreas Strehlow: AKG Verwaltungsgesellschaft mbH, Am Hohlen Weg 31, 34369 Hofgeismar, Germany
Birgo Nitsch: AKG Verwaltungsgesellschaft mbH, Am Hohlen Weg 31, 34369 Hofgeismar, Germany
Andrea Frazzica: Istituto di Tecnologie Avanzate per l’Energia “Nicola Giordano”, CNR ITAE, 98126 Messina, Italy
Valeria Palomba: Istituto di Tecnologie Avanzate per l’Energia “Nicola Giordano”, CNR ITAE, 98126 Messina, Italy
Luisa F. Cabeza: GREiA Research Group, Universitat de Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain

Energies, 2021, vol. 14, issue 22, 1-17

Abstract: A clear gap was identified in the literature regarding the in-depth evaluation of scaling up thermal energy storage components. To cover such a gap, a new methodological approach was developed and applied to a novel latent thermal energy storage module. The purpose of this paper is to identify some key aspects to be considered when scaling up the module from lab-scale to full-scale using different performance indicators calculated in both charge and discharge. Different normalization methods were applied to allow an appropriate comparison of the results at both scales. As a result of the scaling up, the theoretical energy storage capacity increases by 52% and 145%, the average charging power increases by 21% and 94%, while the average discharging power decreases by 16% but increases by 36% when mass and volume normalization methods are used, respectively. When normalization by the surface area of heat transfer is used, all of the above performance indicators decrease, especially the average discharging power, which decreases by 49%. Moreover, energy performance in charge and discharge decreases by 17% and 15%, respectively. However, efficiencies related to charging, discharging, and round-trip processes are practically not affected by the scaling up.

Keywords: latent thermal energy storage; phase change material (PCM); performance indicators; scaling up; experimental evaluation; heat pump (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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