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- W4312263124 abstract "With the explosive growth of the total amount of global information data, the centralized heat dissipation of subsea data center servers has become a mainstream. In this paper, a container storage optimization model based on convective heat transfer is established to obtain the maximum number of servers that can be stored in a single container. Firstly, the heat conduction equation between container and sea water is obtained by using Fourier law of heat conduction and Newton law of cooling, and the definite solution condition of the heat conduction equation is determined. Then, a server storage optimization model is established based on temperature and volume constraints. Finally, the parameters of thermal diffusivity, convective exchange coefficient and thermal conductivity coefficient are estimated. The model is solved by using the meshless generalized finite difference method and verified by simulation. The maximum number of servers that can be stored is 417, and the space utilization rate is 68.45%." @default.
- W4312263124 created "2023-01-04" @default.
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- W4312263124 creator A5038415611 @default.
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- W4312263124 date "2022-08-20" @default.
- W4312263124 modified "2023-10-16" @default.
- W4312263124 title "Storage Optimization Model of Undersea Data Center Based on Convective Heat Transfer" @default.
- W4312263124 doi "https://doi.org/10.1109/aeeca55500.2022.9918914" @default.
- W4312263124 hasPublicationYear "2022" @default.
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