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Simulators for Conversing Power to Thermal on Green Data Centers: A Review

Author

Listed:
  • Danyang Li

    (Software College, Northeastern University, Chuangxin Road No. 195, Shenyang 110819, China)

  • Jie Song

    (Software College, Northeastern University, Chuangxin Road No. 195, Shenyang 110819, China)

  • Hui Liu

    (School of Metallurgy, Northeastern University, Wenhua Road 3 Lane No. 11, Shenyang 110819, China)

  • Jingqing Jiang

    (College of Computer Science and Technology, Inner Mongolia MinZu University, Linhe Road No. 536, Tongliao 028000, China)

Abstract

This paper aims to help data center administrators choose thermal simulation tools, which manage thermal conduction from power for energy savings. When evaluating and suggesting data center thermal simulators for users, questions such as “What are the simulator’s differences? Are they easy to use? Which is the best choice?” are frequently asked. To answer these questions, this paper reviews the thermal simulation works for data centers in the last ten years. After that, it proposes the versatility and dexterity metrics for these simulators and discovers that it is difficult to choose them despite their similar design purpose and functions. Empowered by the survey, we claim that the widespread practice simulators still need more enhancement in data center scenarios. We back up our claim by comparing typical simulators and propose improvements to thermal simulators for future studies.

Suggested Citation

  • Danyang Li & Jie Song & Hui Liu & Jingqing Jiang, 2024. "Simulators for Conversing Power to Thermal on Green Data Centers: A Review," Energies, MDPI, vol. 17(22), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5631-:d:1518332
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    References listed on IDEAS

    as
    1. Botros N. Hanna & Abdalla Abou-Jaoude & Nahuel Guaita & Paul Talbot & Christopher Lohse, 2024. "Navigating Economies of Scale and Multiples for Nuclear-Powered Data Centers and Other Applications with High Service Availability Needs," Energies, MDPI, vol. 17(20), pages 1-37, October.
    2. Danyang Li & Yuqi Zhang & Jie Song & Hui Liu & Jingqing Jiang, 2022. "Energy Saving with Zero Hot Spots: A Novel Power Control Approach for Sustainable and Stable Data Centers," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    3. Cheung, Howard & Wang, Shengwei & Zhuang, Chaoqun & Gu, Jiefan, 2018. "A simplified power consumption model of information technology (IT) equipment in data centers for energy system real-time dynamic simulation," Applied Energy, Elsevier, vol. 222(C), pages 329-342.
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