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Prediction and Analysis of the Thermal Performance of Composite Vacuum Glazing

Author

Listed:
  • Yangjie Shi

    (School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)

  • Xiaobo Xi

    (School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)

  • Yifu Zhang

    (School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)

  • Haiyang Xu

    (Yingtai Group Co., Ltd., Yangzhou 225000, China)

  • Jianfeng Zhang

    (School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)

  • Ruihong Zhang

    (School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China)

Abstract

In this paper, a prediction method of the heat transfer coefficient of composite vacuum glazing (CVG) is proposed. By analyzing the heat transfer process of CVG, the theoretical calculation formula for the heat transfer coefficient of CVG is established. CVG temperature variation under the test conditions specified in the national standard is simulated using ANSYS. The CVG heat transfer coefficient is calculated by combining the theoretical formula and simulation results. The simulation results are then verified by comparison to a physical experiment. The results show that the deviations between the experimental and predicted values are ≤3.8%, verifying the accuracy of the simulation results and proving that the model can be used in engineering practice. Furthermore, the effects of different coating positions on the heat transfer performance of CVG are studied. The results show that different coating positions have a significant impact on the heat transfer coefficient of CVG. The heat transfer coefficient is shown to be lowest to highest under the following conditions: when the Low-E coatings are located on both sides of the vacuum layer (2LC-V), followed by Low-E coatings on the side of glass pane II near the vacuum layer (1LC-V), Low-E coatings located on the side of glass pane I near insulating layer (1LC-I), and finally, when there are no Low-E coatings (NLC) on the glass panes. Overall, this model is an effective and accurate analysis method of the heat transfer coefficient.

Suggested Citation

  • Yangjie Shi & Xiaobo Xi & Yifu Zhang & Haiyang Xu & Jianfeng Zhang & Ruihong Zhang, 2021. "Prediction and Analysis of the Thermal Performance of Composite Vacuum Glazing," Energies, MDPI, vol. 14(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5769-:d:634591
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    References listed on IDEAS

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    1. Aguilar, J.O. & Xaman, J. & Álvarez, G. & Hernández-Pérez, I. & López-Mata, C., 2015. "Thermal performance of a double pane window using glazing available on the Mexican market," Renewable Energy, Elsevier, vol. 81(C), pages 785-794.
    2. Acosta, Ignacio & Campano, Miguel Ángel & Molina, Juan Francisco, 2016. "Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces," Applied Energy, Elsevier, vol. 168(C), pages 493-506.
    3. Fang, Yueping & Memon, Saim & Peng, Jingqing & Tyrer, Mark & Ming, Tingzhen, 2020. "Solar thermal performance of two innovative configurations of air-vacuum layered triple glazed windows," Renewable Energy, Elsevier, vol. 150(C), pages 167-175.
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    Cited by:

    1. Jerzy Szyszka, 2022. "From Direct Solar Gain to Trombe Wall: An Overview on Past, Present and Future Developments," Energies, MDPI, vol. 15(23), pages 1-25, November.

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