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Study on the impacts of refrigerant leakage on the performance and reliability of datacenter composite air conditioning system

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  • Zhang, Yiqi
  • Li, Mengyi
  • Dong, Jiaxiang
  • Zhang, Ce
  • Li, Xiuming
  • Han, Zongwei

Abstract

Refrigerant leakage occurring in the data center composite air conditioning system could decrease energy efficiency and even results to reliable risks like insufficient cooling and indoor air moisture condensation. In this study, the dynamic model of composite air conditioning system is built to research effects of refrigerant leakage on system performance. Further, influences of outdoor temperature, leakage area and leakage location on system reliability in different modes are investigated. Results indicate that in both modes obvious deviation of superheating degree and evaporating temperature manifest at least 40 % refrigerant has leaked. In vapor compression mode, the subcooling degree vanishes after around 15 % refrigerant has leaked and could detect the problem in early stage while condenser fan frequency in heat pipe mode. The vapor compression mode constantly meets insufficient cooling earlier than moisture condensation despite outdoor temperature, while heat pipe mode prompts to suffer indoor air moisture condensation when outdoor temperature is lower than around −8 °C. The vapor compression mode suffers indoor air condensation constantly later than heat pipe mode, and meets insufficient cooling later except in extremely low outdoor temperature. The results can provide guidance in refrigerant leakage detection as well as elevating system reliability in fault conditions.

Suggested Citation

  • Zhang, Yiqi & Li, Mengyi & Dong, Jiaxiang & Zhang, Ce & Li, Xiuming & Han, Zongwei, 2023. "Study on the impacts of refrigerant leakage on the performance and reliability of datacenter composite air conditioning system," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223027305
    DOI: 10.1016/j.energy.2023.129336
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    References listed on IDEAS

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    1. Sun, Xiaoqing & Zhang, Ce & Han, Zongwei & Dong, Jiaxiang & Zhang, Yiqi & Li, Mengyi & Li, Xiuming & Wang, Qinghai & Wen, Zhenwu & Zheng, Baoli, 2023. "Experimental study on a novel pump-driven heat pipe/vapor compression system for rack-level cooling of data centers," Energy, Elsevier, vol. 274(C).
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    5. Han, Zongwei & Ji, Qiang & Wei, Haotian & Xue, Da & Sun, Xiaoqing & Zhang, Xueping & Li, Xiuming, 2020. "Simulation study on performance of data center air-conditioning system with novel evaporative condenser," Energy, Elsevier, vol. 210(C).
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    Cited by:

    1. Zhang, Ce & Hou, Beiran & Li, Minxia & Dang, Chaobin & Tong, Huan & Li, Xiuming & Han, Zongwei, 2024. "Refrigerant charge estimation method based on data-physic hybrid-driven model for the fault diagnosis of transcritical CO2 heat pump system," Energy, Elsevier, vol. 309(C).

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