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Experimental study on direct evaporative cooling for free cooling of data centers

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  • Li, Chao
  • Mao, Ruiyong
  • Wang, Yong
  • Zhang, Jun
  • Lan, Jiang
  • Zhang, Zujing

Abstract

With the cold-fog direct evaporative cooling (CDEC) technology, which uses the natural cooling sources, the cooling energy consumption of data centers can be reduced, and thus the cooling cost can be decreased significantly. There are only a few studies on the application of CDEC in data centers. In this paper, CDEC technology is proposed to provide cooling sources for a data center after cooling the high-temperature fresh air and circulated air from the data center. According to the results of experiments, it can be concluded that only when the relative humidity of high-temperature fresh air is lower than 40 %, the treated air meets the air supply requirements of the data center. otherwise, the circulated air need be treated by CDEC in order to ensure that the air temperature can be reduced to below 30 °C and the relative humidity be less than 80 %. Compared with general evaporative cooling, the efficiency can be improved by 2.07 %–28.50 % with CDEC. Besides, according to the orthogonal experiment, the sequence of various influencing factors on the CDEC is: air speed > spray flow rate > spray angle, which provides guidance for the optimization of application of CDEC in data centers.

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  • 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).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032838
    DOI: 10.1016/j.energy.2023.129889
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    References listed on IDEAS

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    1. Xuan, Y.M. & Xiao, F. & Niu, X.F. & Huang, X. & Wang, S.W., 2012. "Research and application of evaporative cooling in China: A review (I) – Research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3535-3546.
    2. Xu, J. & Li, Y. & Wang, R.Z. & Liu, W. & Zhou, P., 2015. "Experimental performance of evaporative cooling pad systems in greenhouses in humid subtropical climates," Applied Energy, Elsevier, vol. 138(C), pages 291-301.
    3. Farmahini-Farahani, Moien & Delfani, Shahram & Esmaeelian, Jafar, 2012. "Exergy analysis of evaporative cooling to select the optimum system in diverse climates," Energy, Elsevier, vol. 40(1), pages 250-257.
    4. Moazamigoodarzi, Hosein & Gupta, Rohit & Pal, Souvik & Tsai, Peiying Jennifer & Ghosh, Suvojit & Puri, Ishwar K., 2020. "Modeling temperature distribution and power consumption in IT server enclosures with row-based cooling architectures," Applied Energy, Elsevier, vol. 261(C).
    5. Shao, Shuangquan & Liu, Haichao & Zhang, Hainan & Tian, Changqing, 2019. "Experimental investigation on a loop thermosyphon with evaporative condenser for free cooling of data centers," Energy, Elsevier, vol. 185(C), pages 829-836.
    6. Tejero-González, A. & Franco-Salas, A., 2021. "Optimal operation of evaporative cooling pads: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    7. Zhang, Hainan & Shao, Shuangquan & Tian, Changqing & Zhang, Kunzhu, 2018. "A review on thermosyphon and its integrated system with vapor compression for free cooling of data centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 789-798.
    8. Uddin, Mueen & Darabidarabkhani, Yasaman & Shah, Asadullah & Memon, Jamshed, 2015. "Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1553-1563.
    9. Han, Zongwei & Ji, Qiang & Wei, Haotian & Xue, Da & Sun, Xiaoqing & Zhang, Xueping & Li, Xiuming, 2020. "Simulation study on performance of data center air-conditioning system with novel evaporative condenser," Energy, Elsevier, vol. 210(C).
    10. 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).
    11. 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.
    12. Liu, Yuting & Yang, Xu & Li, Junming & Zhao, Xudong, 2018. "Energy savings of hybrid dew-point evaporative cooler and micro-channel separated heat pipe cooling systems for computer data centers," Energy, Elsevier, vol. 163(C), pages 629-640.
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