摘要
以乌鲁木齐一个实测的典型数据中心为研究对象,利用6SingmaRoom软件对机房的气流组织和热工环境进行模拟.分析机房内不同高度平面的温度分布、空调送回风气流流线分布和气流量分布.针对机房气流混乱、冷热分布不均和局部热点问题提出三个气流组织优化措施,并进行模拟对比分析.结果表明,优化后的机房热环境得到明显改善,空调冷量可以被充分利用,有效避免了局部热点问题.
Taking a typical data center in Urumqi as the research object, the 6 SingmaRoom software was used to simulate the airflow organization and thermal environment of the data center. Temperature distribution of different height planes in the data center, the airflow return airflow streamline distribution and the airflow distribution are analysed. Three airflow organization optimization measures were proposed for the airflow chaos in the data center the uneven distribution of hot and cold and local hot spots. The simulation comparison analysis was carried out. Results show that the optimized thermal environment of the data center is significantly improved, and the air conditioning cooling capacity can be fully utilized, to effectively avoide local hot spots.
引文
[1] 李红霞. 通信机房空调节能气流优化措施[J].邮电设计技术,2011,9( 3):6-8.LI Hongxia. Measures on air conditioners energy conservation airstream optimization of telecom equipment rooms[J].Designing Techniques of Posts and Telecommunications,2011,9(3):6-8.
[2] 杨超. 数据中心设计与管理解决方案-6SigmaDC[J].电气应用,2014,33(15):18-19.YANG Chao. Data center design and managemen solutions-6SigmaDC [J].Electrotechnical Application, 2014,33 (15):18-19.
[3] 严瀚.气流组织对数据中心空调系统能耗影响的研究[D].上海:上海交通大学,2015.YAN Han. Study on energy saving effect in air conditioning system for data center air flow organization[D].Shanghai:Shanghai Jiaotong University,2015.
[4] 折建利. 冷却塔供冷系统在数据中心的应用研究[D].西安:西安工程大学,2017.SHE Jianli. Study on application of tower cooling system in data center[D]. Xi′an:Xi′an Polytechnic University,2017.
[5] 谢孟晓,刘金祥,牛晓峰,等. 数据中心机架式服务器选型对其热环境的影响及优化分析[J].暖通空调,2016,44(8):74-78.XIE Mengxiao, LIU Jinxiang, NIU Xiaofeng, et al. Effect and optimization of rack servers selection in data center on the thermal environment[J].HV&AC,2016,44(8):74-78.
[6] 刘芳,王志刚. 某数据中心室内空调气流组织的模拟研究[J].建筑节能,2016,44(10):11-17.LIU Fang, WANG Zhigang. Simulation of indoor air distribution in a larage data center[J].Building Saving, 2016,44(10):11-17.
[7] 顿喆,秦赟,关欣. 基于Fluentairpak的数据中心机房的气流组织模拟优化[J].建筑节能,2015,43(3):27-33.DUN Zhe, QIN Yun, GUAN Xin. Simulation optimization and evaluation analysis of the data centr airflow distribution[J].Building Saving, 2015,43(3):27-33.
[8] 傅烈虎,丁麒钢. 封闭通道后数据中心的PUE分析[J].智能建筑与城市信息,2010,165(8):21-24.FU Liehu, DING Qilin. PUE analysis of data center after closed aisle[J].Intelligent Building & City Information, 2010,165(8):21-24.
[9] 陈杰. 数据机房冷通道封闭技术应用及模拟分析[J].暖通空调,2015,45(6):37-40.CHEN Jie. Application of closed cold aisle technology to data center room and simluation analysis[J].HV & AC,2015,45(6):37-40.
[10] 田浩,李震,刘晓华,等. 数据中心热环境评价指标研究[J].制冷学报,2012,33(5):5-9.TIAN hao, LI Zhen, LIU Xiaohua et al. Study on thermal environment evaluation in data centers[J].Journal of Refrigeration, 2012,33(5):5-9.
[11] 原世杰,鹿世化. 基于热环境评价指标的数据中心气流组织模拟研究[J].暖通空调,2016,46(1):66-72.YUAN Shijie, LU Shihua. Simulation of air distribution in data center based on thermal environment evaluation indexs[J].HV&AC,2016,46(1):66-72.
[12] 原世杰,鹿世化. 送风温度变化对数据中心热环境影响的模拟研究[J].制冷技术,2015,43(10):55-61.YUAN Shijie, LU Shihua. Simulation research on airflow in data center under various supply air temperture[J].Refrigeration,2015,43(10):55-61.
[13] KWOW Wu. A comparative study of various high density data center cooling technologies[D].New York:Stony Brook University,2008.
[14] ABDELMAKSOUD W A, DANG T Q, KHLIFA H E, et al. Perforated tile models for improving data center CFD simulation[C]//13th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems(Therm)-2012, New York:IEEE,2012:60-67.