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Development and composition of a data center heat recovery system and evaluation of annual operation performance

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  • Huang, Qionghai
  • Shao, Shuangquan
  • Zhang, Hainan
  • Tian, Changqing

Abstract

The huge energy consumption of data centers has reached 416.2 billion kWh of electricity, which is responsible for 2% of the world’s total electricity consumption in 2017. Data center heat recovery for district heating is one of the most promising methods to reuse data center low grade waste heat. This paper proposes a heat recovery system with a heat pump/heat pipe integrated unit based on three-fluid heat exchanger. The system operates in three modes: heat recovery mode, heat pipe mode and mechanical cooling mode. Experimental results show that the comprehensive energy efficiency ratio of heat recovery mode reaches 4.47 when the heating supply water temperature is 50 °C. Annual performance of the heat recovery system in a 5 kW data center is analyzed in Tianjin. Results show that the comprehensive energy efficiency ratio of the whole system throughout the year is 4.75, which indicates great potential in heat recovery for district heating at cold regions.

Suggested Citation

  • Huang, Qionghai & Shao, Shuangquan & Zhang, Hainan & Tian, Changqing, 2019. "Development and composition of a data center heat recovery system and evaluation of annual operation performance," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s036054421931895x
    DOI: 10.1016/j.energy.2019.116200
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    Cited by:

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    5. Ji, Haoran & Chen, Sirui & Yu, Hao & Li, Peng & Yan, Jinyue & Song, Jieying & Wang, Chengshan, 2022. "Robust operation for minimizing power consumption of data centers with flexible substation integration," Energy, Elsevier, vol. 248(C).
    6. Romanov, Dmitry & Pelda, Johannes & Holler, Stefan, 2020. "Technical, economic and ecological effects of lowering temperatures in the Moscow district heating system," Energy, Elsevier, vol. 211(C).
    7. Wang, Zhiying & Wang, Yang & Ji, Haoran & Hasanien, Hany M. & Zhao, Jinli & Yu, Lei & He, Jiafeng & Yu, Hao & Li, Peng, 2024. "Distributionally robust planning for data center park considering operational economy and reliability," Energy, Elsevier, vol. 290(C).
    8. Chen, Xiaoxuan & Wang, Xinyi & Ding, Tao & Li, Zhen, 2023. "Experimental research and energy saving analysis of an integrated data center cooling and waste heat recovery system," Applied Energy, Elsevier, vol. 352(C).

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