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Numerical modelling and experimental studies of thermal behaviour of building integrated thermal energy storage unit in a form of a ceiling panel

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  • Jaworski, Maciej
  • Łapka, Piotr
  • Furmański, Piotr

Abstract

The paper presents a new concept of building integrated thermal energy storage unit and novel mathematical and numerical models of its operation. This building element is made of gypsum based composite with microencapsulated PCM. The proposed heat storage unit has a form of a ceiling panel with internal channels and is, by assumption, incorporated in a ventilation system. Its task is to reduce daily variations of ambient air temperature through the absorption (and subsequent release) of heat in PCM, without additional consumption of energy.

Suggested Citation

  • Jaworski, Maciej & Łapka, Piotr & Furmański, Piotr, 2014. "Numerical modelling and experimental studies of thermal behaviour of building integrated thermal energy storage unit in a form of a ceiling panel," Applied Energy, Elsevier, vol. 113(C), pages 548-557.
    • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:548-557
    DOI: 10.1016/j.apenergy.2013.07.068
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    References listed on IDEAS

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    1. Jin, Xing & Medina, Mario A. & Zhang, Xiaosong, 2013. "On the importance of the location of PCMs in building walls for enhanced thermal performance," Applied Energy, Elsevier, vol. 106(C), pages 72-78.
    2. Diarce, Gonzalo & Urresti, Aitor & García-Romero, Ana & Delgado, Alejandra & Erkoreka, Aitor & Escudero, Cesar & Campos-Celador, Álvaro, 2013. "Ventilated active façades with PCM," Applied Energy, Elsevier, vol. 109(C), pages 530-537.
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    5. Álvarez, Servando & Cabeza, Luisa F. & Ruiz-Pardo, Alvaro & Castell, Albert & Tenorio, José Antonio, 2013. "Building integration of PCM for natural cooling of buildings," Applied Energy, Elsevier, vol. 109(C), pages 514-522.
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    7. M. M. Mousa & A. M. Bayomy & M. Z. Saghir, 2020. "Experimental and Numerical Study on Energy Piles with Phase Change Materials," Energies, MDPI, vol. 13(18), pages 1-21, September.
    8. Pointner, Harald & de Gracia, Alvaro & Vogel, Julian & Tay, N.H.S. & Liu, Ming & Johnson, Maike & Cabeza, Luisa F., 2016. "Computational efficiency in numerical modeling of high temperature latent heat storage: Comparison of selected software tools based on experimental data," Applied Energy, Elsevier, vol. 161(C), pages 337-348.
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