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Development of an independent modular air containment system for high-density data centers: Experimental investigation of row-based cooling performance and PUE

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  • Cho, Jinkyun
  • Park, Beungyong
  • Jang, Seungmin

Abstract

This study presents a prototype of an independent modular air containment (MAC) system that overcomes the limitations of the existing room-based cooling and applies a row-based cooling system for a high-density data center that can meet the requirements of energy efficiency. Furthermore, to improve the cooling efficiency and safety, we developed a novel in-row cooling package with multiple heat-transfer media (a sequential water-to-refrigerant-to-air heat exchange system). While complying with the standard test method, the objective cooling performance and PUE are derived through in-situ measurement in connection with the actual operation of a reference data center, and the energy saving contribution is analyzed. As observed from the result of the experimental measurement for the MAC with the novel in-row cooling package, the thermal balance is maintained between the water to refrigerant primary cycle and the refrigerant to air secondary cycle, and the air temperature in the cold aisle converges to 23 °C, satisfying the ASHRAE thermal guidelines. The energy influence of the in-row cooling package is extremely low with average 0.019 pPUE. For a reference data center, the analyzed energy efficiency can be improved from baseline PUE 1.563 to PUE 1.361 through 43.5% reduction in the cooling system.

Suggested Citation

  • Cho, Jinkyun & Park, Beungyong & Jang, Seungmin, 2022. "Development of an independent modular air containment system for high-density data centers: Experimental investigation of row-based cooling performance and PUE," Energy, Elsevier, vol. 258(C).
    • Handle: RePEc:eee:energy:v:258:y:2022:i:c:s0360544222016905
    DOI: 10.1016/j.energy.2022.124787
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    References listed on IDEAS

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    1. Koot, Martijn & Wijnhoven, Fons, 2021. "Usage impact on data center electricity needs: A system dynamic forecasting model," Applied Energy, Elsevier, vol. 291(C).
    2. Gupta, Rohit & Asgari, Sahar & Moazamigoodarzi, Hosein & Pal, Souvik & Puri, Ishwar K., 2020. "Cooling architecture selection for air-cooled Data Centers by minimizing exergy destruction," Energy, Elsevier, vol. 201(C).
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    5. 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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    Cited by:

    1. Cho, Jinkyun, 2024. "Optimal supply air temperature with respect to data center operational stability and energy efficiency in a row-based cooling system under fault conditions," Energy, Elsevier, vol. 288(C).
    2. Zhou, Jing & Kanbur, Baris Burak & Le, Duc Van & Tan, Rui & Duan, Fei, 2023. "Multi-criteria assessments of increasing supply air temperature in tropical data center," Energy, Elsevier, vol. 271(C).
    3. 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).
    4. Cho, Jinkyun & Lim, Seung-beom, 2023. "Balanced comparative assessment of thermal performance and energy efficiency for three cooling solutions in data centers," Energy, Elsevier, vol. 285(C).
    5. Wang, Zhiying & Wang, Yang & Ji, Haoran & Hasanien, Hany M. & Zhao, Jinli & Yu, Lei & He, Jiafeng & Yu, Hao & Li, Peng, 2024. "Distributionally robust planning for data center park considering operational economy and reliability," Energy, Elsevier, vol. 290(C).

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