一种新的数据中心空气冷却架构的评估:下流式静压室

D. Hackenberg, M. Patterson
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引用次数: 5

摘要

IT系统设计的创新速度,特别是高性能计算的创新速度仍然非常高。为了跟上步伐,德累斯顿工业大学使用全会概念建造了新的数据中心。传统的高架地板被一个完整的建筑层所取代,创造了一个高度灵活的空间来输送电力、水和空气。采用严格的热通道空气分离,下行配置的机房空气处理(CRAH)单元位于热通道的正下方。这种独特的安排需要一个非传统的向下流动的热空气从封闭的热通道。在24个机架(每侧12个)的集群中进行了广泛的测试,这些机架配备(3+1)×100 kW CRAH机组制冷量和60个测试装置(空气加热器),每个装置具有5-15 kW的加热功率。我们的分析表明,即使在高密度配置下,这种空气冷却概念的效率也极高,每个机架至少可达30千瓦。这种效率主要是由于非常短的气流路径和宽开放的横截面。我们还展示了在我们的热空气下行配置中没有恶意的热分层发生。对CRAH控制温度(通过冷却水流量调节)和气流(风扇速度)的详细分析强调了在高功率密度和短反馈回路的封闭热通道配置中这种控制系统的挑战。分析还考虑了动态变化的负载模式,包括非常低的部分负载场景和运行可靠性方面。
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Evaluation of a new data center air-cooling architecture: The down-flow Plenum
The rate of innovation in IT system design and especially in High Performance Computing continues to be very high. To keep pace TU Dresden has constructed its new data center using the Plenum concept. The traditional raised floor was substituted by a full building story, creating a highly flexible space to transport power, water, and air. A strict hot-aisle air separation is used and the computer room air-handling (CRAH) units in downflow configuration are positioned directly beneath the hot aisles. This unique arrangement necessitates an unconventional downward flow of hot air from the enclosed hot aisle. Extensive testing has been performed in a cluster of 24 racks (12 per side) equipped with (3+1)×100 kW CRAH unit cooling capacity and 60 test fixtures (air heaters) with 5-15 kW heating power each. Our analysis demonstrates the extremely high efficiency of this air cooling concept even in high-density configurations, up to at least 30 kW per rack. This efficiency is mostly due to the very short airflow paths and wide open cross-sections. We also showcase that no malicious thermal stratification occurs in our hot air downflow configuration. A detailed analysis of the CRAH controls for temperature (through cooling water flow modulation) and airflow (fan speed) highlights the challenges of such control systems in enclosed hot aisle configurations at high power density and short feedback loops. The analysis also considers dynamically changing load patterns including very low partial load scenarios and aspects of operational reliability.
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