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Characteristic Analysis of Boiling Heat Transfer of R32 Refrigerant and Modeling Study of Heat Exchanger

Author

Listed:
  • Bo Yu

    (Green Refrigeration Equipment Engineering Research Center of ZHUHAI GREE Co., Ltd., Zhuhai 519041, China)

  • Chenjie Zhou

    (Key Laboratory of Thermo-Fluid Science and Engineering (Ministry of Education), Xi’an Jiaotong University, Xi’an 710049, China)

  • Wenxiao Chu

    (Key Laboratory of Thermo-Fluid Science and Engineering (Ministry of Education), Xi’an Jiaotong University, Xi’an 710049, China)

  • Yuye Luo

    (Gree Electric Appliances Inc. of Zhuhai, Zhuhai 519041, China)

Abstract

This study experimentally investigates the boiling heat transfer characteristics of R32 and R410A refrigerants in heat exchangers, systematically analyzing the effects of tube thickness, saturation temperature, latent heat, liquid-phase density, and viscosity. The average boiling heat transfer coefficients (HTCs) of R32 and R410A were compared across varying mass flow rates and saturation temperatures. The results reveal that, independent of tube thickness, the boiling HTC of R32 exhibits a non-monotonic increase followed by a decrease with rising mass flow rate. Additionally, elevated saturation temperatures reduced vaporization latent heat, liquid-phase density, and gas-phase viscosity, while the flow pattern may also change. Meanwhile, R32 demonstrated superior boiling heat transfer performance compared to R410A under equivalent conditions. Furthermore, the correlation is proposed to predict the HTCs, indicating ±10% prediction error. This study provides critical insights for optimizing refrigeration systems and advancing heat exchanger modeling frameworks.

Suggested Citation

  • Bo Yu & Chenjie Zhou & Wenxiao Chu & Yuye Luo, 2025. "Characteristic Analysis of Boiling Heat Transfer of R32 Refrigerant and Modeling Study of Heat Exchanger," Energies, MDPI, vol. 18(19), pages 1-14, October.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5258-:d:1764415
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    References listed on IDEAS

    as
    1. Cai, Wanlong & Wang, Fenghao & Chen, Shuang & Chen, Chaofan & Liu, Jun & Deng, Jiewen & Kolditz, Olaf & Shao, Haibing, 2021. "Analysis of heat extraction performance and long-term sustainability for multiple deep borehole heat exchanger array: A project-based study," Applied Energy, Elsevier, vol. 289(C).
    2. Safari, Vahid & Abolghasemi, Hossein & Kamkari, Babak, 2021. "Experimental and numerical investigations of thermal performance enhancement in a latent heat storage heat exchanger using bifurcated and straight fins," Renewable Energy, Elsevier, vol. 174(C), pages 102-121.
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    JEL classification:

    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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