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With Computational Fluid Dynamics, Data Center's Cooling Is Optimized - Effects on cooling performance, energy costs evaluated

机译:借助计算流体动力学,优化了数据中心的冷却-对冷却性能的影响,评估了能源成本

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In the past, most data-center cooling systems were designed based on rules of thumb or trial and error, and large margins of safety were used to compensate for the inaccuracies in those approaches. But the rapid increase in the power density of modern computing, networking, and storage equipment means that energy costs for power and cooling frequently are higher than the cost of the information-technology equipment they support, when amortized over a typical three-year period. It has become critical to analyze data-center design to optimize the local airflow and heat-transfer conditions that play such an important role in cooling-system performance. Computational-fluid-dynamics (CFD) software tools provide the ability to simulate the performance of data centers and predict the effects of air handlers, power-dissipation sources, raised floors, and other features on temperatures throughout a data center. Following is a case of CFD being used to simulate a typical data center and evaluate the effect of design changes on cooling performance and energy costs.
机译:过去,大多数数据中心冷却系统都是基于经验法则或反复试验的规则而设计的,并且使用较大的安全性来弥补这些方法的不准确性。但是,现代计算,网络和存储设备的功率密度的快速增长意味着,通常在三年内分期偿还的能源和制冷能源成本经常高于其支持的信息技术设备的成本。分析数据中心设计以优化在冷却系统性能中起着重要作用的局部气流和传热条件已变得至关重要。计算流体动力学(CFD)软件工具提供了模拟数据中心性能并预测空气处理机,功率耗散源,活动地板和其他功能对整个数据中心温度的影响的功能。以下是CFD用于模拟典型数据中心并评估设计变更对冷却性能和能源成本的影响的案例。

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