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Study on operation strategy of evaporative cooling composite air conditioning system in data center

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  • Han, Zongwei
  • Xue, Da
  • Wei, Haotian
  • Ji, Qiang
  • Sun, Xiaoqing
  • Li, Xiuming

Abstract

To solve the problems of high energy consumed by the cooling system in the data center, this article puts forward a composite air conditioning system. The simulation platform for system operation performance is established, and the accuracy of the simulation platform is verified by experiments. The influence of operation parameters on system performance is analyzed by simulation. Finally, the optimal operation control parameters are determined. The results show that the system can adjust the condenser wind speed and the refrigerant pump operating frequency to meet the cooling requirements and solve the problem of low evaporation temperature in the heat pipe. The evaporative cooling effectively expands the working range of the heat pipe mode and raises the upper limit of outdoor temperature from 8 °C to 15 °C. In the vapor compression mode, when the ambient temperature is lower than 26 °C, the performance of the air-cooled mode is better than that of the evaporative-cooled mode. The condensation temperature can be ensured within a reasonable range by adjusting the condenser cooling wind speed and the compressor frequency. When the outdoor temperature is not less than 26 °C, the evaporative cooling can effectively improve the operation performance

Suggested Citation

  • Han, Zongwei & Xue, Da & Wei, Haotian & Ji, Qiang & Sun, Xiaoqing & Li, Xiuming, 2021. "Study on operation strategy of evaporative cooling composite air conditioning system in data center," Renewable Energy, Elsevier, vol. 177(C), pages 1147-1160.
    • Handle: RePEc:eee:renene:v:177:y:2021:i:c:p:1147-1160
    DOI: 10.1016/j.renene.2021.06.046
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    References listed on IDEAS

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    1. 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.
    2. Dai, Jun & Das, Diganta & Pecht, Michael, 2012. "Prognostics-based risk mitigation for telecom equipment under free air cooling conditions," Applied Energy, Elsevier, vol. 99(C), pages 423-429.
    3. Ham, Sang-Woo & Kim, Min-Hwi & Choi, Byung-Nam & Jeong, Jae-Weon, 2015. "Energy saving potential of various air-side economizers in a modular data center," Applied Energy, Elsevier, vol. 138(C), pages 258-275.
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    Citations

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    Cited by:

    1. Liu, Pengfei & Kandasamy, Ranjith & Ho, Jin Yao & Wong, Teck Neng & Toh, Kok Chuan, 2023. "Dynamic performance analysis and thermal modelling of a novel two-phase spray cooled rack system for data center cooling," Energy, Elsevier, vol. 269(C).
    2. 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).
    3. Zhang, Xueping & Li, Gui & Han, Zongwei & Yang, Ziwei & Bi, Weiqiang & Li, Xiuming & Yang, Lingyan, 2023. "Study on the influence of buried pipe fault on the operation of ground source heat pump system," Renewable Energy, Elsevier, vol. 210(C), pages 12-25.
    4. Lee, Yee-Ting & Wen, Chih-Yung & Shih, Yang-Cheng & Li, Zhengtong & Yang, An-Shik, 2022. "Numerical and experimental investigations on thermal management for data center with cold aisle containment configuration," Applied Energy, Elsevier, vol. 307(C).
    5. Han, Ouzhu & Ding, Tao & Zhang, Xiaosheng & Mu, Chenggang & He, Xinran & Zhang, Hongji & Jia, Wenhao & Ma, Zhoujun, 2023. "A shared energy storage business model for data center clusters considering renewable energy uncertainties," Renewable Energy, Elsevier, vol. 202(C), pages 1273-1290.
    6. Yan, Weichao & Cui, Xin & Meng, Xiangzhao & Yang, Chuanjun & Zhang, Yu & Liu, Yilin & An, Hui & Jin, Liwen, 2024. "Multi-objective optimization of hollow fiber membrane-based water cooler for enhanced cooling performance and energy efficiency," Renewable Energy, Elsevier, vol. 222(C).
    7. Cho, Jinkyun & Kim, Youngmo, 2021. "Development of modular air containment system: Thermal performance optimization of row-based cooling for high-density data centers," Energy, Elsevier, vol. 231(C).

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