Optimization System of Heat Dissipation in Seabed Data Center based on Heat Conduction Equation-Programming Algorithm

Shilong Teng
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Abstract

With the development of big data center, it occupies a lot of land resources, consumes a lot of power and cooling water resources, and other problems are becoming increasingly prominent. In order to solve the above problems, the partial differential equation of heat conduction is derived according to the laws of thermodynamics and energy conservation, and the initial conditions and boundary conditions are established. On this basis, a heat dissipation optimization system of the seabed data center based on the heat conduction equation planning algorithm is established. Taking the server temperature not exceeding the normal working temperature of the server and the volume of the server assembly less than the volume of the container as the constraint conditions, the planning model is established with the maximum number of servers as the target function, and the optimal parameters of the data center shape are obtained, Make it store more servers in a limited volume and ensure the working process of the server, so as to save land resources, save energy consumption and achieve sustainable development.
基于热传导方程-规划算法的海底数据中心散热优化系统
随着大数据中心的发展,它占用了大量的土地资源,消耗了大量的电力和冷却水资源,其他问题日益突出。为解决上述问题,根据热力学和能量守恒定律推导了热传导偏微分方程,并建立了初始条件和边界条件。在此基础上,建立了基于热传导方程规划算法的海底数据中心散热优化系统。以服务器温度不超过服务器正常工作温度、服务器装配体积小于容器体积为约束条件,以服务器数量最大为目标函数建立规划模型,得到数据中心形状的最优参数,使其在有限体积内存储更多的服务器,保证服务器的工作过程,从而节约土地资源;节约能源消耗,实现可持续发展。
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