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Optimization model of container heat dissipation based on submarine data center

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DOI: 10.23977/ssge.2021.030105 | Downloads: 7 | Views: 936


Rui Li 1, Yifan Ming 2


1 School of Mathematics and Computational Science, Hunan University of Science and Technology, Xiangtan, Hunan, 411201
2 School of Physics and Electronics, Central South University, Changsha, Hunan, 410000

Corresponding Author

Rui Li


Based on the heat dissipation principle of solid in liquid, this paper studies the heat dissipation of submarine data center container, and gives the design scheme of submarine data center container shell, which provides a strong theoretical basis for reducing the energy loss of data center. According to the heat dissipation principle of solid in liquid, the physical model of convective heat transfer between container and seawater is established, and the convective heat transfer coefficients under different conditions are analyzed.Using Newton's cooling law, an integer programming model is established to maximize the heat dissipation effect.Finally, the maximum number of servers in a single container shell is obtained by solving the integer programming problem.


linear programming, Newton cooling law, Submarine data center container


Rui Li, Yifan Ming. Optimization model of container heat dissipation based on submarine data center. Smart Systems and Green Energy (2021) Vol. 3: 26-29. DOI:


[1] Zhou Faxiu, Gao Rongzhen. Seasonal variation of subsurface water temperature in the South China Sea [J]. Scientific bulletin, 2001 (21): 1831-1837
[2] Chen Qiuying, Yang Kunde. Seasonal variation characteristics of sea surface temperature in the Northwest Pacific [J]. Electroacoustics, 2010, 34 (10): 65-68 + 72
[3] Yang Haijun, Liu Qinyu. Seasonal characteristics of upper water temperature distribution in the South China Sea [J]. Ocean and Limnology, 1998 (05): 501-507
[4] Wang Yanqiang, Yu Tianyu, Zhu Xueming. Analysis and Research on tides in the South China Sea Based on satellite altimeter data in 18.6 years [J]. Ocean forecast, 2014, 31 (02): 35-40

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