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Performance investigation of a biomimetic latent heat thermal energy storage device for waste heat recovery in data centers

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  • Huang, Yongping
  • Deng, Zilong
  • Chen, Yongping
  • Zhang, Chengbin

Abstract

Improving the power usage effectiveness of data centers has become a significant challenge for carbon peaking and carbon neutrality. To address this, here we propose a single-phase immersion cooling system with latent heat thermal energy storage (LHTES) devices to recover waste heat. Furthermore, an innovative LHTES device with palmate leaf-shaped fins is designed by bionic techniques. The phase change behavior and thermal transport patterns of biomimetic and traditional LHTES devices are investigated, and the effects of the arrangement and working conditions are revealed. Additionally, the proposed solution's application prospect and economy are presented. The results indicate that the performance of palmate leaf-shaped finned LHTES devices is significantly enhanced compared to traditional ones, whose charge and discharge durations reduce by 21.0 % and 38.2 %, respectively. Moreover, the natural convection development enhances the melting performance, but its effect on solidification processes is insignificant. Considering the trade-off between power consumption and LHTES efficiency, a horizontal biomimetic LHTES device with a flow rate of 20 L/min and a large heat-transfer temperature difference is suggested in practical engineering. Notably, the maximum reduction in annual power consumption for using biomimetic LHTES devices is 2397.4 kW·h, and the minimum payback period is only 2.0 years.

Suggested Citation

  • Huang, Yongping & Deng, Zilong & Chen, Yongping & Zhang, Chengbin, 2023. "Performance investigation of a biomimetic latent heat thermal energy storage device for waste heat recovery in data centers," Applied Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:appene:v:335:y:2023:i:c:s0306261923001095
    DOI: 10.1016/j.apenergy.2023.120745
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    References listed on IDEAS

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    5. Luo, Mengxi & Zhang, Yongxue & Niu, Yaoyu & Lu, Bohui & Wang, Zixi & Zhang, Jinya & Wang, Ke & Zhu, Jianjun, 2023. "Experimental and numerical investigations on the thermal performance enhancement of a latent heat thermal energy storage unit with several novel snowflake fins," Renewable Energy, Elsevier, vol. 217(C).
    6. Tang, Xin-Yuan & Yang, Wei-Wei & Ma, Xu & He, Ya-Ling, 2024. "Bionic leaf-inspired catalyst bed structure for solar membrane reactor aiming at efficient hydrogen production and separation," Applied Energy, Elsevier, vol. 355(C).
    7. Wang, Jiahao & Liu, Xiaomin & Desideri, Umberto, 2024. "Performance improvement evaluation of latent heat energy storage units using improved bi-objective topology optimization method," Applied Energy, Elsevier, vol. 364(C).
    8. Huang, Yongping & Liu, Bin & Xu, Shijie & Bao, Chujin & Zhong, Yangfan & Zhang, Chengbin, 2024. "Experimental study on the immersion liquid cooling performance of high-power data center servers," Energy, Elsevier, vol. 297(C).
    9. Liu, Lijun & Zhang, Quan & Zou, Sikai & Du, Sheng & Meng, Fanxi, 2023. "Experimental study on dynamic thermal characteristics of novel thermosyphon with latent thermal energy storage condenser," Energy, Elsevier, vol. 282(C).
    10. 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).
    11. Zhang, Shuai & Yan, Yuying, 2023. "Evaluation and optimisation of hybrid sensible-latent heat thermal energy storage unit with natural stones to enhance heat transfer," Renewable Energy, Elsevier, vol. 215(C).

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