TY - RPRT KW - Energy efficiency KW - Energy use KW - Data centers KW - Energy demand modeling KW - Estimating KW - Information technology AU - Eric R Masanet AU - Richard E Brown AU - Arman Shehabi AU - Jonathan G Koomey AU - Bruce Nordman AB -

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.

C2 - LBNL-5830E DA - 08/2011 N2 -

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.

PY - 2011 TI - Estimating the Energy Use and Efficiency Potential of U.S. Data Centers ER -