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Energy saving evaluation of a novel energy system based on spray cooling for supercomputer center

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  • Chen, Hua
  • Cheng, Wen-long
  • Zhang, Wei-wei
  • Peng, Yu-hang
  • Jiang, Li-jia

Abstract

To improve the energy efficiency of supercomputer center, a novel energy system aimed at enhancing cooling efficiency while reusing waste heat is proposed. The energy system integrates a plug-type spray cooling system with a two-stage absorption chiller driven by spray cooling waste heat. Overall modeling of integrated energy system is analyzed based on spray cooling model and absorption chiller model. Energy saving evaluation is conducted based on Dawning 5000A supercomputer in China. It is found that the novel energy system is much efficient than the original energy system in all seasons. The energy saving effect is highly affected by inlet temperature of spray cooling. With the increase of inlet temperature, the spray cooling capacity decreases while the absorption cooling capacity increases. Thus, an optimal inlet temperature of 55 °C is obtained at which the lowest cooling power consumption, lowest power utilization effectiveness (PUE) and highest energy saving efficiency (ESE) can be achieved. Taken Dawning 5000A supercomputer for example, the system can achieve ESE as high as 49% and PUE within best practice scenario of 1.44. At the optimal design, cooling power consumption only accounts for 16%. Power consumption devoted to running the IT equipment is improved from 60% to 67%.

Suggested Citation

  • Chen, Hua & Cheng, Wen-long & Zhang, Wei-wei & Peng, Yu-hang & Jiang, Li-jia, 2017. "Energy saving evaluation of a novel energy system based on spray cooling for supercomputer center," Energy, Elsevier, vol. 141(C), pages 304-315.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:304-315
    DOI: 10.1016/j.energy.2017.09.089
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    References listed on IDEAS

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    Cited by:

    1. Kanbur, Baris Burak & Wu, Chenlong & Fan, Simiao & Duan, Fei, 2021. "System-level experimental investigations of the direct immersion cooling data center units with thermodynamic and thermoeconomic assessments," Energy, Elsevier, vol. 217(C).
    2. Wang, Ji-Xiang & Li, Yun-Ze & Li, Jia-Xin & Li, Chao & Xiong, Kai & Ning, Xian-Wen, 2018. "Enhanced heat transfer by an original immersed spray cooling system integrated with an ejector," Energy, Elsevier, vol. 158(C), pages 512-523.
    3. Xu, Haojie & Wang, Junfeng & Li, Bin & Yu, Kai & Wang, Hai & Tian, Jiameng & Li, Bufa, 2022. "Electrospray characteristics and cooling performance of dielectric fluid HFE-7100," Energy, Elsevier, vol. 259(C).
    4. Lei, Nuoa & Masanet, Eric, 2020. "Statistical analysis for predicting location-specific data center PUE and its improvement potential," Energy, Elsevier, vol. 201(C).
    5. Yunus Tansu Aksoy & Hendrik Cornelissen & Pinar Eneren & Maria Rosaria Vetrano, 2023. "Spray Cooling Investigation of TiO 2 –Water Nanofluids on a Hot Surface," Energies, MDPI, vol. 16(7), pages 1-14, March.
    6. Cheng Liu & Hang Yu, 2021. "Evaluation and Optimization of a Two-Phase Liquid-Immersion Cooling System for Data Centers," Energies, MDPI, vol. 14(5), pages 1-21, March.

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