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Reliability and availability assessment and enhancement of water-cooled multi-chiller cooling systems for data centers

Author

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  • Cheung, Howard
  • Wang, Shengwei

Abstract

There are strict requirements and needs to avoid huge downtime cost for data center cooling systems to operate continuously for reliable data center services. Current design standards achieve this by installing redundant cooling equipment. Other equipment including distribution headers is also used. However, no study is found to quantify the reliability of these designs comprehensively using on-site performance data. It is unknown how much reliability can be improved by adopting these designs or if they are burdens to the cost of systems only. This study quantifies how different data center cooling system configurations enhance the reliability and availability of data centers. The results show that it is crucial to install a redundant chiller or redundant chiller plant with alternative cooling sources to meet the requirement of high-tier data centers, but other common practices such as distribution headers and the 2(N + 1) configuration do not improve the reliability and availability of data center cooling systems effectively.

Suggested Citation

  • Cheung, Howard & Wang, Shengwei, 2019. "Reliability and availability assessment and enhancement of water-cooled multi-chiller cooling systems for data centers," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832019300754
    DOI: 10.1016/j.ress.2019.106573
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    Citations

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    Cited by:

    1. Shi, Haohao & Zhang, Ji & Zio, Enrico & Zhao, Xufeng, 2023. "Opportunistic maintenance policies for multi-machine production systems with quality and availability improvement," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    2. He, Wei & Ding, Su & Zhang, Jifang & Pei, Chenchen & Zhang, Zhiheng & Wang, Yulin & Li, Hailong, 2021. "Performance optimization of server water cooling system based on minimum energy consumption analysis," Applied Energy, Elsevier, vol. 303(C).
    3. Jagtap, Hanumant P. & Bewoor, Anand K. & Kumar, Ravinder & Ahmadi, Mohammad Hossein & Chen, Lingen, 2020. "Performance analysis and availability optimization to improve maintenance schedule for the turbo-generator subsystem of a thermal power plant using particle swarm optimization," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    4. Chen, Yuzhu & Xu, Jinzhao & Wang, Jun & Lund, Peter D., 2022. "Optimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chiller," Energy, Elsevier, vol. 252(C).
    5. Yang, Xiaohui & Liu, Kang & Leng, Zhengyang & Liu, Tao & Zhang, Liufang & Mei, Linghao, 2022. "Multi-dimensions analysis of solar hybrid CCHP systems with redundant design," Energy, Elsevier, vol. 253(C).

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