某数据中心机房热环境的实验研究
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摘要
随着科技的高速发展,数据中心的规模也逐渐增加,而数据中心内出现的局部过热、温度分布不均等问题也越来越引起人们的关注。本文以武汉市某小型数据中心机房为例,利用专业实验仪器对机房内关键位置(地板送风口、空调回风口、机柜进出口、某些具体测点)的风速风温进行测量。并以该实测数据为依据,对机房内热环境进行分析。本文分析结果可为该机房后续的节能优化设计提供理论依据与建议。
With the rapid development of science and technology, the scale of data center has gradually increased.However, the issue of local overheating and uneven distribution of temperature in the data center has attracted more and more attention. This paper takes a data center in Wuhan as an example, the air speed and temperature of typical location(perforated tiles in the cold aisle, return air vent of the air conditioner, inlet and outlet of the rack, as well as some specific measurement points) in the data center were measured via the professional instruments. Based on the experimental data, the thermal environment of the data center was analyzed. The analysis results can provide the theoretical basis and suggestion for the design of the energy saving optimization design.
With the rapid development of science and technology, the scale of data center has gradually increased.However, the issue of local overheating and uneven distribution of temperature in the data center has attracted more and more attention. This paper takes a data center in Wuhan as an example, the air speed and temperature of typical location(perforated tiles in the cold aisle, return air vent of the air conditioner, inlet and outlet of the rack, as well as some specific measurement points) in the data center were measured via the professional instruments. Based on the experimental data, the thermal environment of the data center was analyzed. The analysis results can provide the theoretical basis and suggestion for the design of the energy saving optimization design.
引文
[1]中华人民共和国住房和城乡建设部.GB 50174-2017数据中心设计规范[S].北京:中国计划出版社, 2017.
[2]陈健,常登海.公共建筑和数据中心的能耗分析和节能[J].智能建筑, 2010,(4):46-49.
[3] Kiff P. A fresh approach to cooling network equipment[J]. British Telecommunications Engineering, 1995, 14(4):149-155.
[4] Wang I N, Tsui Y Y, Wang C C. Improvements of airflow distribution in a container data center[J]. Energy Procedia, 2015, 75:1819-1824.
[5] Arghode V K, Joshi Y. Experimental investigation of air flow through a perforated tile in a raised floor data center[J]. Journal of Electronic Packaging, 2015, 137(1):011011.
[6] Fulpagare Y, Bhargav A. Advances in data center thermal management[J]. Renewable&Sustainable Energy Reviews, 2015, 43:981-996.
[7] Fulpagare Y, Mahamuni G, Bhargav A. Effect of plenum chamber obstructions on data center performance[J]. Applied Thermal Engineering, 2015, 80:187-195.
[2]陈健,常登海.公共建筑和数据中心的能耗分析和节能[J].智能建筑, 2010,(4):46-49.
[3] Kiff P. A fresh approach to cooling network equipment[J]. British Telecommunications Engineering, 1995, 14(4):149-155.
[4] Wang I N, Tsui Y Y, Wang C C. Improvements of airflow distribution in a container data center[J]. Energy Procedia, 2015, 75:1819-1824.
[5] Arghode V K, Joshi Y. Experimental investigation of air flow through a perforated tile in a raised floor data center[J]. Journal of Electronic Packaging, 2015, 137(1):011011.
[6] Fulpagare Y, Bhargav A. Advances in data center thermal management[J]. Renewable&Sustainable Energy Reviews, 2015, 43:981-996.
[7] Fulpagare Y, Mahamuni G, Bhargav A. Effect of plenum chamber obstructions on data center performance[J]. Applied Thermal Engineering, 2015, 80:187-195.