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Optimization of the Performance of PCM Thermal Storage Systems

Author

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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)

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.

Suggested Citation

  • Giampietro Fabbri & Matteo Greppi & Federico Amati, 2024. "Optimization of the Performance of PCM Thermal Storage Systems," Energies, MDPI, vol. 17(13), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3343-:d:1430822
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    1. Wang, Weilong & Yang, Xiaoxi & Fang, Yutang & Ding, Jing & Yan, Jinyue, 2009. "Enhanced thermal conductivity and thermal performance of form-stable composite phase change materials by using [beta]-Aluminum nitride," Applied Energy, Elsevier, vol. 86(7-8), pages 1196-1200, July.
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