基于层次分析法的数据中心空调方案的选择

Selection of air conditioning scheme in the data center based on analytic hierarchy process

数据处理是当今社会的重要需求,数据中心是承载计算的核心载体。不过数据中心非常耗能,而空调系统又是数据中心的耗能大户,选择哪种空调方案变得至关重要。目前建设各方对各种方案大多有定性分析,却少有定量选型的方法。本文提出使用层次分析法对各种空调方案进行定量分析和选型,对比了5种常见的空调制冷方案,给出测算依据、过程和量化结果。结果显示,本文条件下蒸发冷磁悬浮相变冷却是最佳选择。

Data processing is an important demand in today's society,and data centers are the core carrier of computing.But data centers consume a lot of energy,and air conditioning systems are heavy users of data centers,making the choice of air conditioning solutions critical.At present,there are a variety of air conditioning schemes,and most of the construction units have qualitative analysis of each scheme,but few quantitative selection methods.In this paper,analytic hierarchy process is proposed to quantitatively analyze and select various airconditioning schemes.Five common air-conditioning schemes are compared,and the calculation basis,process and quantitative results are given.The results show that evaporative cooling magnetic levitation phase change cooling is the best choice.