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Experimental and numerical study of a PCM solar air heat exchanger and its ventilation preheating effectiveness

Author

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  • Hu, Yue
  • Heiselberg, Per Kvols
  • Johra, Hicham
  • Guo, Rui

Abstract

This article presents a PCM solar air heat exchanger integrated into ventilated window developed to maximize the use of the solar energy to pre-heat the ventilated air. The system is designed to improve the indoor air quality and thermal comfort by continuous pre-heated air supply at a reduced energy use through the capturing and storing of solar energy. This study examines the thermodynamic behavior of the system both experimentally and numerically. This entails a full-scale experiment in climate boxes to study the thermal storage and heat release ability of the facility. Accordingly, a numerical model combining heat transfer and buoyancy derived laminar flow and nonlinear thermal properties of the PCM is built and validated with the experimental data. The model is then used for configuration optimization of the PCM solar air heat exchanger to maximize the solar energy storage and the ventilation pre-heating effectiveness. The results show that for a 6-h solar charging period, the optimum PCM plate depth is 90 mm and the optimum air gap thickness is 6 mm. The same configuration can be used for both summer night cooling and winter solar energy storage applications. The total stored/released latent heat after one charging period is 93.31 MJ/m3.

Suggested Citation

  • Hu, Yue & Heiselberg, Per Kvols & Johra, Hicham & Guo, Rui, 2020. "Experimental and numerical study of a PCM solar air heat exchanger and its ventilation preheating effectiveness," Renewable Energy, Elsevier, vol. 145(C), pages 106-115.
  • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:106-115
    DOI: 10.1016/j.renene.2019.05.115
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    Citations

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    Cited by:

    1. Nadezhda S. Bondareva & Mikhail A. Sheremet, 2023. "A Numerical Study of Heat Performance of Multi-PCM Brick in a Heat Storage Building," Mathematics, MDPI, vol. 11(13), pages 1-21, June.
    2. 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).
    3. Dawood, Norhan I. & Jalil, Jalal M. & Ahmed, Majida K., 2022. "Investigation of a novel window solar air collector with 7-moveable absorber plates," Energy, Elsevier, vol. 257(C).
    4. Guo, Rui & Hu, Yue & Heiselberg, Per & Johra, Hicham & Zhang, Chen & Peng, Pei, 2021. "Simulation and optimization of night cooling with diffuse ceiling ventilation and mixing ventilation in a cold climate," Renewable Energy, Elsevier, vol. 179(C), pages 488-501.
    5. Arranz, Beatriz & Ruiz-Valero, Letzai & González, Marlix Pérez & Sánchez, Sergio Vega, 2020. "Comprehensive experimental assessment of an industrialized modular innovative active glazing and heat recovery system," Energy, Elsevier, vol. 212(C).
    6. Wang, Yujie & Zhang, Xingchen & Chen, Zonghai, 2022. "Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges," Applied Energy, Elsevier, vol. 313(C).
    7. Zhou, Shiqiang & Razaqpur, A. Ghani, 2022. "Efficient heating of buildings by passive solar energy utilizing an innovative dynamic building envelope incorporating phase change material," Renewable Energy, Elsevier, vol. 197(C), pages 305-319.

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