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Data Centers' Energy Auditing and Benchmarking-Progress Update

机译:数据中心的能源审计和基准测试进展

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摘要

This paper presents a summary of the energy audit and optimization studies conducted on more than 40 data centers. Comparison of data center energy efficiency metrics is presented. Those metrics include energy utilization metrics such as the Power Usage Effectiveness (PUE), Data Center infrastructure Efficiency (DCiE), mechanical PUE, electrical PUE and thermal or air management metrics such as bypass and recirculation airflow ratios. Additionally, percentages of cooling system, fans, UPS losses, and lighting to total data center power were analyzed and presented. The impact of climate zone as well as the operational load density compared to design load density were considered as well. These metrics incorporate and integrate together the major factors that decrease the effectiveness of computer room air cooling and the entire data center infrastructure. The energy utilization metrics determine the extent of the efficiencies of the data center supporting mechanical and electrical infrastructures. Interestingly, the database indicated that small data centers [Raised Floor Area (RFA) <10,000 ft~2] or corporate data centers have higher average PUE than the larger ones. Small data centers were observed to have partially populated IT equipment racks and floors, oversized and aging cooling systems, higher levels of air mixing (recirculation and bypass air) in the raised floor areas, no implementation of free cooling, low UPS load factor, and no direct cooperation between the IT and the facilities departments. However, enterprise data centers were observed to implement more energy saving techniques such as "free cooling" as well as higher level of cooperation between IT and facilities. Many of those large data centers were also observed to participate in various professional IT and facilitiesrnorganizations' seminars to stay informed about new advances in their field as well as industry best practices.
机译:本文概述了对40多个数据中心进行的能源审计和优化研究。提出了数据中心能效指标的比较。这些指标包括能源利用率指标,例如电源使用效率(PUE),数据中心基础架构效率(DCiE),机械PUE,电气PUE,以及热或空气管理指标,例如旁路和再循环气流比率。此外,分析和介绍了冷却系统,风扇,UPS损耗和照明在数据中心总功率中所占的百分比。还考虑了气候带的影响以及与设计负荷密度相比的运行负荷密度。这些指标将降低计算机机房空气冷却效率和整个数据中心基础架构有效性的主要因素整合在一起。能源利用率指标确定了支持机械和电气基础设施的数据中心的效率程度。有趣的是,该数据库表明,小型数据中心[升高的地板面积(RFA)<10,000 ft〜2]或公司数据中心的平均PUE值高于大型数据中心。小型数据中心的IT设备机架和地板已部分填充,超大型和老化的冷却系统,高架地板区域中的空气混合水平更高(再循环和旁路空气),没有实施自然冷却,UPS负载系数低,并且IT与设施部门之间没有直接合作。但是,据观察,企业数据中心实施了更多的节能技术,例如“自然冷却”,以及IT与设施之间的更高水平的合作。还观察到许多大型数据中心都参加了各种专业的IT和设施组织的研讨会,以随时了解其领域的新进展以及行业最佳实践。

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  • 来源
    《ASHRAE Transactions》 |2010年第1期|P.109-117|共9页
  • 作者

    Munther Salim; rnRobert Tozer;

  • 作者单位

    Energy Efficiency & Sustainability at HP Critical Facilities Services in Chicago, IL;

    rnHP Critical Facilities Services in London, UK;

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  • 原文格式 PDF
  • 正文语种 eng
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