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Determination method of defrosting start-time based on temperature measurements

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  • Kim, Min-Hwan
  • Lee, Kwan-Soo

Abstract

We report a novel defrosting control method for refrigeration systems including refrigerators and heat pumps that commonly use time control or time–temperature control to determine the defrosting start-time. However, these methods do not provide accurate defrosting start-times due to variations in the operating conditions. Here, we describe the use of the effective mass-flow fraction (EMF) to determine the defrosting start-time; this method qualitatively detects variation trend of heat transfer rate based on only temperature measurements. The performance of the EMF control was compared with that of time control under varied frosting conditions of an experimental system. The time control method determined the defrosting start-time with an error of ±50%, whereas the EMF control precisely determined the defrosting start-time with an error of ±10%.

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  • Kim, Min-Hwan & Lee, Kwan-Soo, 2015. "Determination method of defrosting start-time based on temperature measurements," Applied Energy, Elsevier, vol. 146(C), pages 263-269.
    • Handle: RePEc:eee:appene:v:146:y:2015:i:c:p:263-269
    DOI: 10.1016/j.apenergy.2015.02.071
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    References listed on IDEAS

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    1. Byrne, Paul & Miriel, Jacques & Lenat, Yves, 2011. "Experimental study of an air-source heat pump for simultaneous heating and cooling – Part 2: Dynamic behaviour and two-phase thermosiphon defrosting technique," Applied Energy, Elsevier, vol. 88(9), pages 3072-3078.
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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. 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).
    3. 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.
    4. Bai, H.Y. & Liu, P. & Justo Alonso, M. & Mathisen, H.M., 2022. "A review of heat recovery technologies and their frost control for residential building ventilation in cold climate regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).

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