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Numerical modeling approach to dynamic data center cooling

机译:动态数据中心冷却的数值建模方法

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摘要

Data centers are facilities that house large numbers of computer servers that dissipate high power. Due to varying operational loads their efficient thermal management is a big challenge that needs to be addressed. Computational modeling using a CFD code is a very useful technique for studying the cooling requirements for different data center power loading and room configuration. Much of the existing numerical modeling research literature focuses on simulating the data center thermal environment with constant operating conditions. In reality, data centers have highly time dependent operating conditions i.e. fluctuations in server power and A/C flow rates. Recent computational studies have shown that time dependent fluctuations in server rack power can lead to rapid fluctuations in rack inlet temperatures. For optimal data center performance, the cold air supply should also increase or decrease with the rack power. In this paper, a detailed numerical study of data center thermal performance is presented with time dependent power and cooling air supply conditions. Results are presented for average rack inlet temperatures as a function of time for different case studies. Fluctuations in inlet temperatures are explained by evaluation of the temperature and flow fields in a basic data center configuration.
机译:数据中心是容纳大量耗散高功率的计算机服务器的设施。由于运行负荷的变化,有效的热管理是一个巨大的挑战,需要解决。使用CFD代码进行计算建模是一项非常有用的技术,可用于研究不同数据中心电源负载和房间配置的散热要求。现有的许多数值建模研究文献都集中在模拟具有恒定操作条件的数据中心热环境。实际上,数据中心具有高度时间依赖性的运行条件,即服务器功率和A / C流量的波动。最近的计算研究表明,服务器机架电源的时间依赖性波动会导致机架入口温度快速波动。为了获得最佳的数据中心性能,冷气供应也应随机架功率的增加或减少。在本文中,对数据中心的热性能进行了详细的数值研究,并给出了随时间变化的功率和冷却​​空气供应条件。针对不同案例研究,给出了机架平均入口温度随时间变化的结果。入口温度的波动是通过评估基本数据中心配置中的温度和流场来解释的。

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