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Dynamic performance of an integrated heat pump system coupled free cooling and waste heat recovery in data centers

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  • Zhou, Feng
  • Tian, Xuwen
  • Song, Yu
  • Ma, Guoyuan

Abstract

Recovering and reusing this waste heat for district heating is an effective strategy to enhance energy efficiency in data centers. To align data center waste heat recovery with heat consumer demand and improve energy utilization, a transient mathematical model of a data center-integrated heat pump district heating system was developed and validated. A case study involving a small data center with 300 standard racks in Beijing was conducted to analyze the system's operational and dynamic behavior. The results show that hot water and heating account for 35.70 % and 64.30 % of the total heat consumption, respectively. During the heating season, the heating heat pump unit exhibits a high heating coefficient of performance (COP), with a maximum heating COP of 5.27. Under year-round operation, the COP of the hot water heat pump unit exhibited periodic 24-h variations. Peak water consumption occurred from 6:00 to 9:00 and 21:00 to 24:00, with corresponding heating COP values of 3.87 and 4.24, respectively. The proposed system in addressing the cooling demand of the data center and the heating and hot water demands of the heat consumers, providing a feasible solution for improving the energy utilization efficiency of data centers.

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  • Zhou, Feng & Tian, Xuwen & Song, Yu & Ma, Guoyuan, 2025. "Dynamic performance of an integrated heat pump system coupled free cooling and waste heat recovery in data centers," Energy, Elsevier, vol. 323(C).
    • Handle: RePEc:eee:energy:v:323:y:2025:i:c:s036054422501480x
    DOI: 10.1016/j.energy.2025.135838
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    References listed on IDEAS

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    1. 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).
    2. Marshall, Z.M. & Duquette, J., 2022. "A techno-economic evaluation of low global warming potential heat pump assisted organic Rankine cycle systems for data center waste heat recovery," Energy, Elsevier, vol. 242(C).
    3. 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.
    4. Ayou, Dereje S. & Bruno, Joan Carles & Saravanan, Rajagopal & Coronas, Alberto, 2013. "An overview of combined absorption power and cooling cycles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 728-748.
    5. Ebrahimi, Khosrow & Jones, Gerard F. & Fleischer, Amy S., 2014. "A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 622-638.
    6. Yuan, Xiaolei & Liang, Yumin & Hu, Xinyi & Xu, Yizhe & Chen, Yongbao & Kosonen, Risto, 2023. "Waste heat recoveries in data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    7. 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).
    8. Yu, Jiawen & Jiang, Yiqiang & Yan, Yanqiu, 2019. "A simulation study on heat recovery of data center: A case study in Harbin, China," Renewable Energy, Elsevier, vol. 130(C), pages 154-173.
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