Richard Brown

Mr. Richard Brown

Lawrence Berkeley National Laboratory
orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Applied Energy
Verified
Journal Article
Closed access
DGDaniel L. Gerber
Daniel L. Gerber
VVVagelis Vossos
Vagelis Vossos
WFWei Feng
Wei Feng
CMChris Marnay
Chris Marnay
BNBruce Nordman
Bruce Nordman
RBRichard Brown
Richard Brown

1 June 2008 in Energy Policy
Verified
Journal Article
Closed access
MSMarla C. Sanchez
Marla C. Sanchez
RBRichard Brown
Richard Brown
CWCarrie Webber
Carrie Webber
GHGregory K. Homan
Gregory K. Homan

1 November 2006 in Energy
Verified
Journal Article
Closed access
CWC Webber
C Webber
JRJ Roberson
J Roberson
MMM Mcwhinney
M Mcwhinney
RBRichard Brown
Richard Brown
MPM Pinckard
M Pinckard
JBJ Busch
J Busch

30 June 2011 in Proceedings of the IEEE
Verified
Journal Article
Closed access
EMEric R. Masanet
Eric R. Masanet
RBRichard Brown
Richard Brown
ASArman Shehabi
Arman Shehabi
JKJonathan G. Koomey
Jonathan G. Koomey
BNBruce Nordman
Bruce Nordman
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.

1 November 2018 in Applied Energy
Verified
Journal Article
Closed access
VVVagelis Vossos
Vagelis Vossos
DGDaniel Gerber
Daniel Gerber
YBYouness Bennani
Youness Bennani
RBRichard Brown
Richard Brown
CMChris Marnay
Chris Marnay

1 May 2002 in Energy
Verified
Journal Article
Closed access
RBRichard Brown
Richard Brown
CWC. Webber
C. Webber
JKJ.G. Koomey
J.G. Koomey