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Anti-frosting operation and regulation technology of air-water dual-source heat pump evaporator

Author

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  • Zhong, Huihui
  • Zeng, Li
  • Long, Jibo
  • Xia, Kuiming
  • Lu, Haolin
  • Yongga, A.

Abstract

In this study, a dual-source heat pump evaporator was designed using hot water and air as the heat sources. The hot water coil and the refrigerant coil in the evaporator were arranged in sequence along the air flow direction. The air temperature, relative humidity and velocity at the evaporator inlet, and evaporator hot water temperature were taken as the input parameters. The heat and mass transfer model of the dual-source evaporator was established. Based on the 90% relative humidity(RH) line of the psychrometric chart, the relationship between the refrigerant evaporation temperature and the air absolute humidity ratio under the critical frosting condition of the evaporator was fitted. In the cold season, the evaporator anti-frosting performance under the dual-source condition was tested experimentally and simulated. The results showed that the experimentally determined evaporator temperature was in good agreement with the simulated values. Besides, increasing the evaporator hot water temperature or inlet air velocity enabled one to improve the evaporator fin surface temperature. In particular, when the evaporator working temperature rose above the critical frosting temperature, the anti-frosting operation of the evaporator in winter could be achieved. If the ambient temperature was below 0 °C, the anti-frosting was provided by adjusting the refrigerant evaporation temperature.

Suggested Citation

  • Zhong, Huihui & Zeng, Li & Long, Jibo & Xia, Kuiming & Lu, Haolin & Yongga, A., 2022. "Anti-frosting operation and regulation technology of air-water dual-source heat pump evaporator," Energy, Elsevier, vol. 254(PC).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pc:s0360544222012968
    DOI: 10.1016/j.energy.2022.124393
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    References listed on IDEAS

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    1. Eom, Yong Hwan & Chung, Yoong & Park, Minsu & Hong, Sung Bin & Kim, Min Soo, 2021. "Deep learning-based prediction method on performance change of air source heat pump system under frosting conditions," Energy, Elsevier, vol. 228(C).
    2. Liang, Jierong & Sun, Li & Li, Tingxun, 2018. "A novel defrosting method in gasoline vapor recovery application," Energy, Elsevier, vol. 163(C), pages 751-765.
    3. Han, Youhua & Liu, Yang & Lu, Shixiang & Basalike, Pie & Zhang, Jili, 2021. "Electrical performance and power prediction of a roll-bond photovoltaic thermal array under dewing and frosting conditions," Energy, Elsevier, vol. 237(C).
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    Cited by:

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    2. Xiaolei Yuan & Mingya Zhu & Yumin Liang & Mehdi Shahrestani & Risto Kosonen, 2023. "Comparison of Short and Long-Term Energy Performance and Decarbonization Potentials between Cogeneration and GSHP Systems under MARKAL Scenarios," Sustainability, MDPI, vol. 15(2), pages 1-23, January.

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