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COOLING ENERGY REDUCTION DURING DYNAMICALLY CONTROLLED DATA CENTER OPERATION

机译:动态控制数据中心运行期间的冷却能耗降低

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Data Center power usage has been growing rapidly as new internet applications are developed, requiring computing resources such as high-density cloud computing server farms. All of the electricity consumed by data centers is ultimately turned into heat. This heat is removed using fans, pumps, chillers and air conditioning equipment, which comprise roughly a quarter of the total data center power consumption. As part of a US Department of Energy cost shared grant, a data center test facility was designed and constructed with the goal to demonstrate the potential to reduce cooling energy use to less than 5% of the total IT and facilities energy usage by utilizing liquid cooling of the electronics rack. The system was characterized to develop temperature-based energy-aware servo control algorithms for further cooling energy reductions. These algorithms were implemented to dynamically reduce the data center cooling power consumption while controlling to a specified temperature under varying outdoor temperature and workload conditions. This work illustrates the energy-centric controls that were implemented to achieve dynamic system control in the most energy efficient manner.
机译:随着新的互联网应用程序的开发,数据中心的电源使用量迅速增长,这需要诸如高密度云计算服务器场之类的计算资源。数据中心消耗的所有电能最终都会转化为热量。这些热量通过风扇,泵,冷却器和空调设备消除,这些设备约占数据中心总功耗的四分之一。作为美国能源部成本分摊赠款的一部分,设计并建造了数据中心测试设施,目的是展示利用液体冷却将冷却能源的使用量减少到IT和设施能源使用总量的5%以下的潜力电子机架的。该系统的特征是开发基于温度的能量感知伺服控制算法,以进一步降低冷却能量。实施这些算法是为了动态降低数据中心的冷却功耗,同时在变化的室外温度和工作负载条件下将温度控制在指定的温度。这项工作说明了以能量为中心的控制,这些控制已实现以最节能的方式实现动态系统控制。

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