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A hybrid methodology for the determination of the effective heat capacity of PCM enhanced building components

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  • Mandilaras, I.D.
  • Kontogeorgos, D.A.
  • Founti, M.A.

Abstract

This paper presents a new hybrid methodology for the determination of the effective heat capacity (Ceff) of phase change materials (PCMs) for use in numerical models. The methodology focuses on PCM enhanced building panels utilizing a heat flow meter apparatus (HFMA) operating in dynamic mode and a numerical model based on the effective heat capacity method. It comprises of: a) experimental analysis of the panel by means of differential scanning calorimetry (DSC) and HFMA for the estimation of initial Ceff curves, b) optimization of the initial Ceff curves with an algorithm incorporating the numerical model and c) validation of the obtained results. Starting from a complete description of the concept and its main elements, the proposed approach has been successfully employed for the determination of Ceff curves of a lightweight building component combining insulation with thermal storage properties. The derived curves yielded more accurate results when incorporated in the numerical model than the respective curves measured by means of DSC. Simulations of the thermal performance of the building component in different conditions than those used for the determination of the curves validated the effectiveness of the methodology.

Suggested Citation

  • Mandilaras, I.D. & Kontogeorgos, D.A. & Founti, M.A., 2015. "A hybrid methodology for the determination of the effective heat capacity of PCM enhanced building components," Renewable Energy, Elsevier, vol. 76(C), pages 790-804.
    • Handle: RePEc:eee:renene:v:76:y:2015:i:c:p:790-804
    DOI: 10.1016/j.renene.2014.11.078
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    Cited by:

    1. Anna Zastawna-Rumin & Tomasz Kisilewicz & Umberto Berardi, 2020. "Novel Simulation Algorithm for Modeling the Hysteresis of Phase Change Materials," Energies, MDPI, vol. 13(5), pages 1-15, March.
    2. Dre Helmns & David H. Blum & Spencer M. Dutton & Van P. Carey, 2021. "Development and Validation of a Latent Thermal Energy Storage Model Using Modelica," Energies, MDPI, vol. 14(1), pages 1-22, January.
    3. Erik Schmerse & Charles A. Ikutegbe & Amar Auckaili & Mohammed M. Farid, 2020. "Using PCM in Two Proposed Residential Buildings in Christchurch, New Zealand," Energies, MDPI, vol. 13(22), pages 1-25, November.
    4. Wang, Zhihua & Wang, Fenghao & Ma, Zhenjun & Lin, Wenye & Ren, Haoshan, 2019. "Investigation on the feasibility and performance of transcritical CO2 heat pump integrated with thermal energy storage for space heating," Renewable Energy, Elsevier, vol. 134(C), pages 496-508.
    5. Allouche, Yosr & Varga, Szabolcs & Bouden, Chiheb & Oliveira, Armando C., 2016. "Validation of a CFD model for the simulation of heat transfer in a tubes-in-tank PCM storage unit," Renewable Energy, Elsevier, vol. 89(C), pages 371-379.
    6. Zhou, Yuekuan & Zheng, Siqian & Liu, Zhengxuan & Wen, Tao & Ding, Zhixiong & Yan, Jun & Zhang, Guoqiang, 2020. "Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optim," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).

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