Review on the Application of Machine Vision in Defrosting and Decondensation on the Surface of Heat Exchanger

Bin Yang (), Xin Zhu, Minzhang Liu and Zhihan Lv
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Bin Yang: School of Energy and Security Engineering, Tianjin Chengjiang University, Tianjin 300384, China
Xin Zhu: School of Energy and Security Engineering, Tianjin Chengjiang University, Tianjin 300384, China
Minzhang Liu: School of Energy and Security Engineering, Tianjin Chengjiang University, Tianjin 300384, China
Zhihan Lv: College of Art, Uppsala University, s-75105 Uppsala, Sweden

Sustainability, 2022, vol. 14, issue 18, 1-15

Abstract: Under low outdoor temperature and high humidity, frost easily forms on the Heat Exchanger (Exchanger) surface on the outdoor side. The formation and growth of this frost layer will seriously impact the Exchanger’s heat extraction process and the system’s energy efficiency, triggering malfunction in the compressor. To this end, this work first analyzes the formation and growth mechanism of Exchanger surface frosting and condensation. It then summarizes the current research status of Machine Vision (MV) technology in defrosting and decondensation. Further, it previews the follow-up research direction. The experimental findings show that MV technology can automatically observe frost and dew, guaranteeing a real-time understanding of the frost layer. Directly obtaining the frost and dew information from the image can significantly save human resources and improve efficiency.

Keywords: indirect evaporative cooling; near-zero energy consumption buildings; measured analysis; cooling efficiency; temperature drop (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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