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Experimental investigation of a dual-evaporator pump-driven loop heat pipe composite system for data centers cooling

Author

Listed:
  • Liu, Qingqing
  • Wang, Ningbo
  • Guo, Yujie
  • Shao, Shuangquan

Abstract

Data centers are highly energy-intensive facilities, with cooling systems accounting for 30 % of total energy consumption. To reduce this energy consumption, natural cooling sources can be fully utilized, commonly through pumped loop heat pipe composite systems. However, such systems employ the same evaporator across different modes, resulting in untapped potential for natural cooling. Therefore, this study proposes a dual-evaporator pumped loop heat pipe (DePLHP) composite system for data center cooling, featuring three adaptive operational modes: pumped loop heat pipe (PLHP) mode, composite mode, and vapor compression (VC) mode. These modes automatically switch based on outdoor temperatures, optimizing energy efficiency through maximal natural cooling utilization and supplemental mechanical assistance when required. Experimental validation in a climate-controlled enthalpy difference chamber confirmed superior performance. Compared to conventional PLHP systems, the system achieved 20.3 % and 13.3 % energy savings at 15 °C and 25 °C respectively while maintaining high energy efficiency ratios (EER) across most operating conditions. Compliance with the national standard GB 40879-2021 was verified. Application analysis across 12 representative Chinese cities spanning diverse climates demonstrates robust adaptability. The system attained an average annual energy efficiency ratio (AEER) of 7.78 across cities, with power usage effectiveness (PUE) averaging between 1.22 and 1.31 depending on auxiliary equipment energy ratios. A load-responsive mode-switching control strategy was proposed for partial-load conditions, further enhancing AEER. In summary, the proposed system delivers exceptional energy-saving performance and holds significant importance for green data center development.

Suggested Citation

  • Liu, Qingqing & Wang, Ningbo & Guo, Yujie & Shao, Shuangquan, 2025. "Experimental investigation of a dual-evaporator pump-driven loop heat pipe composite system for data centers cooling," Energy, Elsevier, vol. 341(C).
  • Handle: RePEc:eee:energy:v:341:y:2025:i:c:s0360544225050741
    DOI: 10.1016/j.energy.2025.139432
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    References listed on IDEAS

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    1. Zhang, Yingbo & Shan, Kui & Li, Xiuming & Li, Hangxin & Wang, Shengwei, 2023. "Research and Technologies for next-generation high-temperature data centers – State-of-the-arts and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    2. Zhang, Hainan & Shao, Shuangquan & Xu, Hongbo & Zou, Huiming & Tian, Changqing, 2014. "Free cooling of data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 171-182.
    3. Xiong, Huimin & Li, Xuan & Chen, Chaowei & Xin, Gongming & Li, Jiaqian & Chen, Yan, 2025. "Experimental study on the heat transfer performance of a gravity-assisted separated heat pipe for high-power chip cooling," Energy, Elsevier, vol. 324(C).
    4. Han, Zongwei & Wei, Haotian & Sun, Xiaoqing & Bai, Chenguang & Xue, Da & Li, Xiuming, 2020. "Study on influence of operating parameters of data center air conditioning system based on the concept of on-demand cooling," Renewable Energy, Elsevier, vol. 160(C), pages 99-111.
    5. Cheung, Howard & Wang, Shengwei & Zhuang, Chaoqun & Gu, Jiefan, 2018. "A simplified power consumption model of information technology (IT) equipment in data centers for energy system real-time dynamic simulation," Applied Energy, Elsevier, vol. 222(C), pages 329-342.
    6. Güğül, Gül Nihal & Gökçül, Furkan & Eicker, Ursula, 2023. "Sustainability analysis of zero energy consumption data centers with free cooling, waste heat reuse and renewable energy systems: A feasibility study," Energy, Elsevier, vol. 262(PB).
    7. 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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    1. Chen, Xiaoming & Cheng, Gui & Zhang, Quan, 2026. "Experimental study on thermal performance of a novel micro channel separated heat pipe system coupled with radiative sky cooling," Energy, Elsevier, vol. 346(C).
    2. Talib, Ali J. & Yu, Kok Hwa & Eidan, Adel A. & Chan, Keng Wai & Hatif, Ihab Hasan, 2026. "Heat pipe integration in vapour compression refrigeration: Refrigerant-side enhancement, air-side heat recovery, and electronics thermal management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 230(C).

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