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Applying image recognition to frost built-up detection in air source heat pumps

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Listed:
  • Li, Zhaoyang
  • Wang, Wei
  • Sun, Yuying
  • Wang, Shiquan
  • Deng, Shiming
  • Lin, Yao

Abstract

When a space heating ASHP unit is operated in frosting conditions, accurate defrosting is necessary to ensure its operating efficiency and output heating capacity. Therefore, to improve the accuracy of defrosting initiation of ASHPs under frosting-defrosting operations, a study on applying image recognition to frost built-up detection in ASHPs has been carried out and the study results are presented in this paper. Firstly, the principle of a novel frost built-up detection method based on image recognition is presented. Secondly, a series of experiments to examine the applicability of the novel frost built-up detection method with respect to shooting angle, imaging pixels, illumination level, and the temperature of outdoor coil surface are carried out. Thirdly, the novel frost built-up detection method was further modified based on the experimental result obtained, and the verification of the modified novel detection method is reported. It is shown that the use of the modified novel frost built-up detection method could properly account for the impact of changing illuminance level on the accuracy of image recognition, to ensure the accuracy of frost built-up detection when ASHPs are operated in frosting conditions.

Suggested Citation

  • Li, Zhaoyang & Wang, Wei & Sun, Yuying & Wang, Shiquan & Deng, Shiming & Lin, Yao, 2021. "Applying image recognition to frost built-up detection in air source heat pumps," Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221012524
    DOI: 10.1016/j.energy.2021.121004
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    References listed on IDEAS

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    1. Song, Mengjie & Deng, Shiming & Dang, Chaobin & Mao, Ning & Wang, Zhihua, 2018. "Review on improvement for air source heat pump units during frosting and defrosting," Applied Energy, Elsevier, vol. 211(C), pages 1150-1170.
    2. Xu, Bo & Han, Qing & Chen, Jiangping & Li, Feng & Wang, Nianjie & Li, Dong & Pan, Xiaoyong, 2013. "Experimental investigation of frost and defrost performance of microchannel heat exchangers for heat pump systems," Applied Energy, Elsevier, vol. 103(C), pages 180-188.
    3. Wang, W. & Feng, Y.C. & Zhu, J.H. & Li, L.T. & Guo, Q.C. & Lu, W.P., 2013. "Performances of air source heat pump system for a kind of mal-defrost phenomenon appearing in moderate climate conditions," Applied Energy, Elsevier, vol. 112(C), pages 1138-1145.
    4. Wang, W. & Xiao, J. & Guo, Q.C. & Lu, W.P. & Feng, Y.C., 2011. "Field test investigation of the characteristics for the air source heat pump under two typical mal-defrost phenomena," Applied Energy, Elsevier, vol. 88(12), pages 4470-4480.
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    Cited by:

    1. Chen, Siliang & Chen, Kang & Zhu, Xu & Jin, Xinqiao & Du, Zhimin, 2022. "Deep learning-based image recognition method for on-demand defrosting control to save energy in commercial energy systems," Applied Energy, Elsevier, vol. 324(C).
    2. Tomas Kropas & Giedrė Streckienė & Juozas Bielskus, 2021. "Experimental Investigation of Frost Formation Influence on an Air Source Heat Pump Evaporator," Energies, MDPI, vol. 14(18), pages 1-15, September.
    3. Bin Yang & Xin Zhu & Minzhang Liu & Zhihan Lv, 2022. "Review on the Application of Machine Vision in Defrosting and Decondensation on the Surface of Heat Exchanger," Sustainability, MDPI, vol. 14(18), pages 1-15, September.

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