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A numerical study on optimizing the designs of applying PCMs to a disaster-relief prefabricated temporary-house (PTH) to improve its summer daytime indoor thermal environment

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  • Wang, Caixia
  • Deng, Shiming
  • Niu, Jianlei
  • Long, Enshen

Abstract

PTHs are massively deployed for disaster-relief after various natural disasters. Following a previous experimental study on applying PCMs to an experimental PTH, where only a very limited number of designs were experimentally examined, in this paper, different designs of applying PCMs to a disaster-relief PTH were numerically examined and the best one identified for guiding future practical applications. A numerical model for a full-scale PTH was established using EnergyPlus and experimentally validated. Using the validated model, a two-part numerical study was carried out. In the first part, a total of 16 different designs were defined and D10 identified as the most effective one, resulting in the highest number of acceptable hours at 90. In the second part, increasing PCM's thickness to beyond 20 mm would lead to negligible effects on further improving indoor thermal environment. Hence, 20 mm thickness was recommended as a reference value for future practical applications. Furthermore, the developed EnergyPlus based model for the experimental PTH may be adapted for other types of PTHs used in different climates. Hence, the outcomes of the numerical study may also guide the future applications of PCM to disaster-relief PTHs of various configurations, and located in different climates.

Suggested Citation

  • Wang, Caixia & Deng, Shiming & Niu, Jianlei & Long, Enshen, 2019. "A numerical study on optimizing the designs of applying PCMs to a disaster-relief prefabricated temporary-house (PTH) to improve its summer daytime indoor thermal environment," Energy, Elsevier, vol. 181(C), pages 239-249.
    • Handle: RePEc:eee:energy:v:181:y:2019:i:c:p:239-249
    DOI: 10.1016/j.energy.2019.05.165
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    References listed on IDEAS

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    2. Luigi Maffei & Antonio Ciervo & Achille Perrotta & Massimiliano Masullo & Antonio Rosato, 2023. "Innovative Energy-Efficient Prefabricated Movable Buildings for Smart/Co-Working: Performance Assessment upon Varying Building Configurations," Sustainability, MDPI, vol. 15(12), pages 1-37, June.

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