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Optimization of the thermal environment of a small-scale data center in China

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  • Meng, Xiongzhuang
  • Zhou, Junli
  • Zhang, Xuejiao
  • Luo, Zhiwen
  • Gong, Hui
  • Gan, Ting

Abstract

In data centers, a large number of IT sever racks with different heat dissipation rates are arranged in multiple rows, leading to much higher per-unit heat release and therefore more uneven temperature distribution than in general buildings. This paper chooses a small-scale data center located in China to analyze the thermal environment for the operation of these critical equipments. The wind speed and temperature in the data center were measured, and a corresponding computer room model was established via computational fluid dynamics (CFD) simulation software. Based on it, the characteristics of flow field and temperature field of the data center were analyzed. The optimization methods for problem of uneven temperature distribution and chaotic air supply in the data center were proposed and verified by evaluation index. Furthermore, the return temperature index(RHI) increased from 0.918 to 0.93, the return heat index(RTI) increased from 0.222 to 0.342.

Suggested Citation

  • Meng, Xiongzhuang & Zhou, Junli & Zhang, Xuejiao & Luo, Zhiwen & Gong, Hui & Gan, Ting, 2020. "Optimization of the thermal environment of a small-scale data center in China," Energy, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:energy:v:196:y:2020:i:c:s0360544220301870
    DOI: 10.1016/j.energy.2020.117080
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    References listed on IDEAS

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    1. 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.
    2. Rong, Huigui & Zhang, Haomin & Xiao, Sheng & Li, Canbing & Hu, Chunhua, 2016. "Optimizing energy consumption for data centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 674-691.
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    Cited by:

    1. Ding, Tao & Chen, Xiaoxuan & Cao, Hanwen & He, Zhiguang & Wang, Jianmin & Li, Zhen, 2021. "Principles of loop thermosyphon and its application in data center cooling systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
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    4. Cheng Liu & Hang Yu, 2021. "Evaluation and Optimization of a Two-Phase Liquid-Immersion Cooling System for Data Centers," Energies, MDPI, vol. 14(5), pages 1-21, March.
    5. Bie, Yiming & Liu, Yajun & Li, Shiwu & Wang, Linhong, 2022. "HVAC operation planning for electric bus trips based on chance-constrained programming," Energy, Elsevier, vol. 258(C).
    6. Li, Chao & Mao, Ruiyong & Wang, Yong & Zhang, Jun & Lan, Jiang & Zhang, Zujing, 2024. "Experimental study on direct evaporative cooling for free cooling of data centers," Energy, Elsevier, vol. 288(C).
    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).
    8. Du, Yahui & Zhou, Zhihua & Yang, Xiaochen & Yang, Xueqing & Wang, Cheng & Liu, Junwei & Yuan, Jianjuan, 2023. "Dynamic thermal environment management technologies for data center: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).

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