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Experimental investigation on the application of cold-mist direct evaporative cooling in data centers

  • Ruiyong Mao
  • , Hongwei Wu
  • , Chao Li
  • , Zujing Zhang
  • , Xing Liang
  • , Jiri Zhou
  • , Jing Chen
    • Guizhou University
    • Tsinghua University
    • University of Hertfordshire
    • Kingston University
    • China MCC5 Group Corp. Ltd
    • Guizhou Industry Polytechnic College

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    The rapid development of the internet era has driven the construction of numerous data centers worldwide. In hot climate, data centers consume significant energy for cooling. Cold-mist direct evaporative cooling offers a natural cooling solution that can help reduce this energy consumption. This study investigates the temperature and relative humidity changes of natural high-temperature air after being cooled using a cold-mist direct evaporative cooling test bench. The effects of several control factors such as spray angle, spray flow rate, and air speed on the cold-mist direct evaporative cooling performance was systematically examined. The findings revealed that: (1) the optimal spray angle for cold-mist direct evaporative cooling treatment air is 65°; (2) high-temperature air between 27 °C and 37 °C can be cooled to 23.57 °C – 25.58 °C after cold-mist direct evaporative cooling treatment, with relative humidity levels of 67.0 % – 78.8 %, meeting the air supply requirements for data centers; (3) the proposed approach could reduce the data center energy consumption by 14 % – 41 %, while extending the annual natural cooling period by 3.16 % – 20.45 %.

    Original languageEnglish
    Article number109500
    JournalInternational Journal of Thermal Sciences
    Volume208
    Early online date23 Oct 2024
    DOIs
    Publication statusPublished - Feb 2025

    Bibliographical note

    Note: This research was supported by National Natural Science Foundation of China (NO. 52168013), and the Guizhou Provincial Science and Technology Projects (No. ZK [2022]151 and [2019]1102).

    Keywords

    • Computer science and informatics
    • Energy consumption
    • Experiment
    • Evaporative cooling
    • Data center
    • Free cooling

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