Optimization of the Performance of PCM Thermal Storage Systems

Giampietro Fabbri, Matteo Greppi () and Federico Amati
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Giampietro Fabbri: Department of Industrial Engineering (DIN), University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Matteo Greppi: Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Federico Amati: Department of Industrial Engineering (DIN), University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy

Energies, 2024, vol. 17, issue 13, 1-19

Abstract: In this article, we present some optimised geometries for a thermal storage system previously proposed exploiting Phase-changing materials (PCMs). The optimization has been carried out by using a genetic algorithm. We demonstrate that a simple single-parental, mutation-based, single-objective genetic algorithm can be conveniently employed to optimize the geometry of the proposed PCM thermal energy storage system. Optimization I was the one with the least restrictive conditions and, therefore, with the greatest possibility of variation in the channel geometry. While the one with the worst results is Optimization II because of the most restrictive conditions, primarily constant solid/liquid volume. A metal frame increases the surface area by 6.

Keywords: PCM; thermal storage; energy density (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: 2024
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