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Performance optimization of server water cooling system based on minimum energy consumption analysis

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  • He, Wei
  • Ding, Su
  • Zhang, Jifang
  • Pei, Chenchen
  • Zhang, Zhiheng
  • Wang, Yulin
  • Li, Hailong

Abstract

To improve the thermal management of a data center, fin-type water-cooled heat sinks were applied to cool the chips in a server cabinet, and a water-cooled system based on the cooling tower of a data center with a thermal power of 4.8 kW was applied. TRNSYS was used to conduct an effect analysis of the operating condition parameters of the cooling water on the power consumption of the system. Finally, the operating conditions of the cooling water were optimized by minimizing the energy consumption of the water-cooled system. In addition, the factors of different safety chip temperatures and partial thermal loads were considered in optimizing the working conditions and analyzing cooling energy consumption. The results show that the optimal cooling water operating parameters significantly differ corresponding to different safety chip temperatures and thermal loads. Finally, the fitting correlation equations of the optimal flow rate of the primary and secondary cooling water under different safe chip temperatures and partial thermal loads are provided to guide the cooling system design. Considering an ambient temperature of 15 °C and a safety chip temperature of 70 °C as a case study, the optimal primary and secondary cooling water flow rates of 3 and 3.4 L/min, respectively, were obtained, with a minimum power usage effectiveness of 1.146.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:303:y:2021:i:c:s0306261921009892
    DOI: 10.1016/j.apenergy.2021.117620
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    References listed on IDEAS

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    1. Durand-Estebe, Baptiste & Le Bot, Cédric & Mancos, Jean Nicolas & Arquis, Eric, 2014. "Simulation of a temperature adaptive control strategy for an IWSE economizer in a data center," Applied Energy, Elsevier, vol. 134(C), pages 45-56.
    2. 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).
    3. Jin, Chaoqiang & Bai, Xuelian & Yang, Chao & Mao, Wangxin & Xu, Xin, 2020. "A review of power consumption models of servers in data centers," Applied Energy, Elsevier, vol. 265(C).
    4. Kanbur, Baris Burak & Wu, Chenlong & Fan, Simiao & Duan, Fei, 2021. "System-level experimental investigations of the direct immersion cooling data center units with thermodynamic and thermoeconomic assessments," Energy, Elsevier, vol. 217(C).
    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).
    6. Huang, Pei & Copertaro, Benedetta & Zhang, Xingxing & Shen, Jingchun & Löfgren, Isabelle & Rönnelid, Mats & Fahlen, Jan & Andersson, Dan & Svanfeldt, Mikael, 2020. "A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating," Applied Energy, Elsevier, vol. 258(C).
    7. Koot, Martijn & Wijnhoven, Fons, 2021. "Usage impact on data center electricity needs: A system dynamic forecasting model," Applied Energy, Elsevier, vol. 291(C).
    8. Jouhara, Hussam & Meskimmon, Richard, 2014. "Heat pipe based thermal management systems for energy-efficient data centres," Energy, Elsevier, vol. 77(C), pages 265-270.
    9. Tradat, Mohammad I. & Manaserh, Yaman “Mohammad Ali” & Sammakia, Bahgat G. & Hoang, Cong Hiep & Alissa, Husam A., 2021. "An experimental and numerical investigation of novel solution for energy management enhancement in data centers using underfloor plenum porous obstructions," Applied Energy, Elsevier, vol. 289(C).
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    Cited by:

    1. Borkowski, Mateusz & Piłat, Adam Krzysztof, 2022. "Customized data center cooling system operating at significant outdoor temperature fluctuations," Applied Energy, Elsevier, vol. 306(PB).
    2. Qu, Shengli & Duan, Kaiwen & Guo, Yuxiang & Feng, Yiwei & Wang, Chuang & Xing, Ziwen, 2024. "Real-time optimization of the liquid-cooled data center based on cold plates under different ambient temperatures and thermal loads," Applied Energy, Elsevier, vol. 363(C).
    3. Mao, Yufeng & Zhong, Mingliang & Wang, Ji X., 2023. "Dimensionless study of phase-change-based thermal protection for pulsed electromagnetic machines: Towards heat absorption-dissipation matching," Applied Energy, Elsevier, vol. 352(C).
    4. Wang, Huijie & Qiu, Baoyun & Zhao, Fangling & Yan, Tianxu, 2023. "Method for increasing net power of power plant based on operation optimization of circulating cooling water system," Energy, Elsevier, vol. 282(C).

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