数据中心机房冷通道封闭对机房气流组织及能效的影响研究
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摘要
数据中心已成为社会耗电大户,数据中心能耗优化是数据中心低碳循环绿色发展的关键技术,其中气流组织优化是数据中心全生命周期可开展的节能降耗措施。文章主要介绍数据中心运行维护环节开展的气流组织优化研究,为高效精确开展机房气流组织检测,首先建立了支持精确检测的移动式环境检测平台,然后基于检测平台对某大型数据中心机房冷通道封闭策略、冷气流遏制策略对机房气流组织和能效影响进行实验检测。通过实验验证了这些策略的有效性,获得了相关策略对提升能效的效率数据。
Data center has become a big consumer of the country electricity consumption. Data center energy optimization is a key approach of low-carbon cycle green development in data center. The optimization of airflow distribution is the energy saving measures that can be carried out in the whole life cycle of data center. This paper mainly introduced the optimization of airflow distribution in the operation and maintenance of data center. In order to carry out the airflow distribution detection in the computer room efficiently and accurately, a mobile environment detection platform that supports accurate detection was established firstly. Based on the platform, three optimization strategies were presented, including the cold channel closing strategy, the cold air flow limit strategy and the refrigeration system optimization strategy, whose effectiveness were then verified through experiments. At the same time, we obtained relevant energy efficiency data for these strategies.
Data center has become a big consumer of the country electricity consumption. Data center energy optimization is a key approach of low-carbon cycle green development in data center. The optimization of airflow distribution is the energy saving measures that can be carried out in the whole life cycle of data center. This paper mainly introduced the optimization of airflow distribution in the operation and maintenance of data center. In order to carry out the airflow distribution detection in the computer room efficiently and accurately, a mobile environment detection platform that supports accurate detection was established firstly. Based on the platform, three optimization strategies were presented, including the cold channel closing strategy, the cold air flow limit strategy and the refrigeration system optimization strategy, whose effectiveness were then verified through experiments. At the same time, we obtained relevant energy efficiency data for these strategies.
引文
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[3]DAYARATH N,WEN Y,FAN R.Data center energy consumption modeling:a survey[J].IEEE Communications Surveys and Tutorials,2015,17(9):1-65.
[4]ELNOZAHY M,KISTLER M,RAJAMONY R.Energy conservation policies for web servers[C]//Proceedings of the4th USENIX Symposium on Internet Technologies and Systems,2003.
[5]HORVATH T,ABDELZAHER T,SKADRON K,et al.Dynamic voltage scaling in multitier web servers with end-to-end delay control[J].IEEE Transaction on Computers,2007,56(4):444-458.
[6]WANG Y F,WANG X R,CHEN M,et al.Partie:power aware response time control for virtualized web servers[J].IEEETransaction on Parallel and Distributed Systems,2011,22(2):323-336.
[7]王强,夏成军,唐智文.分布式能源在数据中心应用的可行性探析[J].电网与清洁能源,2013,29(9):87-91.WANG Qiang,XIA Cheng-jun,TANG Zhi-wen.Discussion on the feasibility for distributed energy in internetdata center[J].Power System and Clean Energy,2013,29(9):87-91.
[8]HINAGA S,KOLEDINTSEVA M Y,DREWNIAK J L,et al.Thermal effects on PCB laminate material dielectric consistant and dissipation factor[C]//IEEE Symposium on Electromagnetic Compatibility,2010.
[9]刘川,李志伟,沈卫康.基于云计算及SDN的电力数据中心安全问题分析和防护策略[J].电子设计工程,2016,24(9):136-138,143.LIU Chuan,LI Zhi-wei,SHEN Wei-kang.Analysis and protection strategy of power data center security based on cloud computing and SDN technology[J].Electronic Design Engineering,2016,24(9):136-138,143.
[10]王晓艳.基于云计算的数据中心建设探讨[J].软件,2014,35(2):129-130.WANG Xiao-yan.Discussion on cloud computing data center construction[J].Computer Engineering and Software,2014,35(2):129-130.
[11]王克勇,王丽,徐靖文,等.绿色数据中心空调节能技术研究[J].能源研究与利用,2012,25(4):29-31.
[12]郭栋.大型绿色数据中心的规划研究[D].上海:复旦大学,2008.
[13]李明.数据中心的绿色化发展趋势和低碳技术应用[J].智能建筑与城市信息,2013,20(2):105-110.
[14]黄娜,苏玮,王琦.绿色数据中心机房空调系统节能趋势[J].智能建筑,2014,12(7):32-34.
[15]朱利伟,曹播.新一代数据中心绿色空调的节能[J].智能建筑与城市信息,2009,16(11):35-39.
[16]李翔,姜晓红,吴朝晖,等.绿色数据中心的热量管理方法研究[J].计算机学报,2015,38(10):1976-1996.LI Xiang,JIANG Xiao-hong,WU Zhao-hui,et al.Research on thermal management methods for green data centers[J].Chinese Journal of Computers,2015,38(10):1976-1996.