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Energy Conservation Measures for a Research Data Center in an Academic Campus

Author

Listed:
  • Khaled Iyad Alsharif

    (Mechanical Engineering, Youngstown State University, Youngstown, OH 44555, USA)

  • Aspen Glaspell

    (Mechanical Engineering, Youngstown State University, Youngstown, OH 44555, USA)

  • Kyosung Choo

    (Mechanical Engineering, Youngstown State University, Youngstown, OH 44555, USA)

Abstract

Simulation and experimental studies were conducted to investigate energy consumption, develop ECMs (Energy Conservation Measures), and analyze temperature increase under a power failure scenario for a research data center at Youngstown State University. Two ECMs were developed to improve energy consumption by analyzing the thermal performance of the data center: (1) increase the return temperature in air conditioning vents; (2) provide cold aisle containment with the set point temperature increase. A transient analysis was conducted under a cooling system failure scenario to predict the temperature variation over time. The results suggest that it takes 600 s to increase the server inlet temperature by 16.1 °C for the baseline model. In addition, in the ECM #2, the maximum temperature at the server inlet did not reach 40 °C under the air conditioning system failure scenario, which is the maximum operating temperature of the ASHRAE A3 envelop.

Suggested Citation

  • Khaled Iyad Alsharif & Aspen Glaspell & Kyosung Choo, 2021. "Energy Conservation Measures for a Research Data Center in an Academic Campus," Energies, MDPI, vol. 14(10), pages 1-12, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2820-:d:554536
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    References listed on IDEAS

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    1. Ghahramani, Ali & Zhang, Kenan & Dutta, Kanu & Yang, Zheng & Becerik-Gerber, Burcin, 2016. "Energy savings from temperature setpoints and deadband: Quantifying the influence of building and system properties on savings," Applied Energy, Elsevier, vol. 165(C), pages 930-942.
    2. Li, Jian & Jurasz, Jakub & Li, Hailong & Tao, Wen-Quan & Duan, Yuanyuan & Yan, Jinyue, 2020. "A new indicator for a fair comparison on the energy performance of data centers," Applied Energy, Elsevier, vol. 276(C).
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