基于热环境评价指标的某高校机房气流组织优化研究
摘要：以北京某高校数据机房为研究对象，采用经实验验证的CFD模型研究了封闭冷、热通道和不同空调摆放位置对数据机房热环境和气流组织的影响，并基于多个热环境评价指标对机房热环境和气流组织进行了定量分析。研究表明：封闭冷、热通道均可有效改善机房内的速度场与温度场，封闭热通道时机房整体温度比封闭冷通道低1.5～2.0℃;封闭冷、热通道时，回风温度指数RTI由110%左右降低到106%左右，两者优化效果基本相同；封闭冷通道时供热指数SHI由0.22降至0.10左右，而封闭热通道后SHI降至0.08,优化效果优于封闭冷通道，但相比封闭冷通道SHI仅降低了0.02左右，综合考虑，封闭冷通道为最合适的优化改造方案；封闭冷、热通道后，运行空调1、2或空调2、3时，机房的整体环境最佳，运行空调1、3次之。
关键词：数据机房气流组织热环境评价指标速度场温度场封闭通道空调摆放位置
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[5] 傅烈虎.数据中心热环境实测与仿真计算[J].暖通空调，2018,48(7):126- 130.
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[11] 邵华厦，苏州，边争.不同气候区数据中心机房外围护结构的节能研究[J].暖通空调，2022,52(3):57- 61.
[12] 张杰，周浩，冯壮波，等.小型数据中心气流组织及能耗优化[J].天津大学学报(自然科学与工程技术版),2014,47(7):647- 652.
[13] SHARMA R,BASH C,PATEL C.Dimensionless parameters for evaluation of thermal design and performance of large-scale data centers[C]//8th AIAA/ASME Joint Thermophysics and Heat Transfer Conference,2002:3091.
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Optimization of air distribution in data center of a university based on thermal environment evaluation indexes
Abstract: Taking the data center of a university in Beijing as the research object, the experimentally verified CFD model is used to study the influences of closing the cold or hot aisle and different air conditioning locations on the thermal environment and air distribution of the data center. The thermal environment and air distribution of the data center are quantitatively analysed based on several thermal environment evaluation indexes. The research shows that closing the cold or hot aisle can effectively improve the velocity field and temperature field in the data center. The overall temperature of the data center when the hot aisle is closed is 1.5-2.0 ℃ lower than that when the cold aisle is closed. When the cold or hot aisle is closed, the return heat index(RHI) is reduced from about 110% to about 106%, and the optimization effects of the two ways are basically the same. The supply heat index(SHI) is reduced from 0.22 to about 0.10 when the cold aisle is closed, while the SHI is reduced to 0.08 when the hot aisle is closed and the optimization effect is better, but the SHI is only about 0.02 lower than that of closing the cold aisle. After comprehensive consideration, closing the cold aisle is the most suitable optimization scheme. After closing the cold or hot aisle, running the air conditioner NO.1 and 2 or NO.2 and 3 can achieve the best overall environment of the data center, while running NO.1 and 3 gets poor effect.
Keywords: data center; air distribution; thermal environment evaluation index; velocity field; temperature field; closing aisle; air conditioning location;
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