Rapid prediction of exergy destruction in data centers due to airflow mixing
Rapid prediction of exergy destruction in data centers due to airflow mixing
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DOI：
10.1080/10407782.2016.1139984
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发表时间：
2016-01-01
影响因子：
2
通讯作者：
Wemhoff, Aaron P.
中科院分区：
文献类型：
--
作者：
Bhalerao, Anish;Fouladi, K.;Wemhoff, Aaron P.
引入了一种新的集总参数方法来预测由于气流混合引起的数据中心火用破坏，与详细的计算流体动力学（CFD）模拟相比，该方法的速度提高了几个数量级。在一个示例数据中心的11个测试用例中，集总参数和详细CFD方法的一致性都在8.5%以内。通过两次详细的CFD模拟来预测整体流动参数，然后对与流动无关的设计参数进行集总参数分析，提出了一种节省时间的设计策略。当机房空调（CRAC）供电温度在12 ~ 20℃范围内变化时，策略一致性在0.39%以内。
A novel lumped parameter approach is introduced to predict data center exergy destruction due to airflow mixing, resulting in a speedup of several orders of magnitude compared to detailed computational fluid dynamics (CFD) simulations. Both lumped parameter and detailed CFD methods agree within 8.5% for 11 test cases on an example data center. A significant time-saving design strategy is also introduced using two detailed CFD simulations to predict bulk flow parameters, and then applying lumped parameter analysis on flow-independent design parameters. The strategy shows agreement within 0.39% when computer room air conditioner (CRAC) supply temperature is varied from 12-20 degrees C.