Estimating the Energy Use and Efficiency Potential of US Data Centers

被引:60
作者
Masanet, Eric R. [1 ]
Brown, Richard E. [1 ]
Shehabi, Arman [1 ]
Koomey, Jonathan G. [2 ]
Nordman, Bruce [1 ]
机构
[1] Univ Calif Berkeley, Lawrence Berkeley Lab, Berkeley, CA 94720 USA
[2] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
关键词
Data centers; energy demand modeling; energy efficiency; information technology;
D O I
10.1109/JPROC.2011.2155610
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Data centers are a significant and growing component of electricity demand in the United States. This paper presents a bottom-up model that can be used to estimate total data center electricity demand within a region as well as the potential electricity savings associated with energy efficiency improvements. The model is applied to estimate 2008 U.S. data center electricity demand and the technical potential for electricity savings associated with major measures for IT devices and infrastructure equipment. Results suggest that 2008 demand was approximately 69 billion kilowatt hours (1.8% of 2008 total U.S. electricity sales) and that it may be technically feasible to reduce this demand by up to 80% (to 13 billion kilowatt hours) through aggressive pursuit of energy efficiency measures. Measure-level savings estimates are provided, which shed light on the relative importance of different measures at the national level. Measures applied to servers are found to have the greatest contribution to potential savings.
引用
收藏
页码:1440 / 1453
页数:14
相关论文
共 27 条
[1]  
[Anonymous], P ACEEE SUMM STUD EN
[2]  
[Anonymous], 2008, LBNL1096E
[3]  
Bailey M., 2007, 06C4799 IDC
[4]  
BANERJEE P, 2009, P 46 ACM IEEE DES AU, P884
[5]  
Battles B., 2007, Reducing Data Center Power Consumption through Efficient Storage
[6]  
Belady C., 2008, Green Grid Data Center Power Efficiency Metrics: PUE and DCiE
[7]  
BRILL KG, 2009, FORBES 0128
[8]  
BRILL KG, 2007, UPT I S ORL FL
[9]  
*IDC, 2009, IDCS WORLDW INST BAS
[10]  
Koomey J., 2007, Estimating total power consumption by servers in the U.S. and the world