Eric R. Masanet

dblp:122/1773 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 87% Cloud and datacenter computing · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing
datacenter energy consumption
0.112011
Estimating the Energy Use and Efficiency Potential of U.S. Data Centers · Proc. IEEE 2011
Energy-efficient computing
datacenter energy efficiency
0.112011
Estimating the Energy Use and Efficiency Potential of U.S. Data Centers · Proc. IEEE 2011
Cloud and datacenter computing
datacenter infrastructure
0.012011
Estimating the Energy Use and Efficiency Potential of U.S. Data Centers · Proc. IEEE 2011

Methods — techniques the papers use, named apart from their topics

bottom-up modeling · 0.1
YearPublicationVenuePosition
2011 Estimating the Energy Use and Efficiency Potential of U.S. Data Centers
abstract
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.
Eric R. Masanet, Richard Brown 0002, Arman Shehabi, Jonathan G. Koomey, Bruce Nordman
Proc. IEEE1