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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE
Doing Business As Name:University of California-Berkeley
PD/PI:
  • Randy Katz
  • (510) 642-8778
  • randy@cs.berkeley.edu
Co-PD(s)/co-PI(s):
  • David E Culler
  • Eric A Brewer
  • Seth R Sanders
Award Date:08/15/2009
Estimated Total Award Amount: $ 1,497,426
Funds Obligated to Date: $ 1,497,426
  • FY 2009=$1,497,426
Start Date:09/01/2009
End Date:08/31/2013
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040101 RRA RECOVERY ACT
Award Title or Description:CPS:Medium: LoCal - A Network Architecture for Localized Electrical Energy Reduction, Generation and Sharing
Federal Award ID Number:0932209
DUNS ID:124726725
Parent DUNS ID:071549000
Program:CPS-Cyber-Physical Systems
Program Officer:
  • Radhakisan Baheti
  • (703) 292-8339
  • rbaheti@nsf.gov

Awardee Location

Street:Sponsored Projects Office
City:BERKELEY
State:CA
ZIP:94710-1749
County:Berkeley
Country:US
Awardee Cong. District:13

Primary Place of Performance

Organization Name:University of California-Berkeley
Street:Sponsored Projects Office
City:BERKELEY
State:CA
ZIP:94710-1749
County:Berkeley
Country:US
Cong. District:13

Abstract at Time of Award

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The objective of this research is to understand how pervasive information changes energy production, distribution and use. The design of a more scalable and flexible electric infrastructure, encouraging efficient use, integrating local generation, and managing demand through awareness of energy availability and use over time, is investigated. The approach is to develop a cyber overlay on the energy distribution system in its physical manifestations: machine rooms, buildings, neighborhoods, isolated generation islands and regional grids. A scaled series of experimental energy networks will be constructed, to demonstrate monitoring, negotiation protocols, control algorithms and Intelligent Power Switches integrating information and energy flows in a datacenter, building, renewable energy: farm", and off-grid village. These will be generalized and validated through larger scale simulations. The proposal?s intellectual merit is in understanding broadly how information enables energy efficiencies: through intelligent matching of loads to sources, via various levels of aggregation, and by managing how and when energy is delivered to demand, adapted in time and form to available supply. Bi-directional information exchange is integrated everywhere that power is transferred. Broader impacts include training diverse students, such as undergraduates and underrepresented groups, in a new interdisciplinary curriculum in information and energy technologies. Societal impact is achieved by demonstrating dramatic reductions in the carbon footprint of energy and its overall usage, greater penetration of renewables while avoiding additional fossil fuel plants, and shaping a new culture of energy awareness and management. The evolution of Computer Science will be accelerated to meet the challenges of cyber-physical information processing.

Publications Produced as a Result of this Research

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R. H. Katz, D. E. Culler, S. Sanders, S. Alspaugh, Y. Chen, S. Dawson-Haggerty, P. Dutta, M. He, X. Jiang, L. Keys, A. Krioukov, K. Lutz, J. Ortiz, P. Mohan, E. Reutzel, J. Taneja, J. Hsu, S. Shankar "An information-centric energy infrastructure: The Berkeley view" Sustainable Computing: Informatics and Systems, v.1, 2011, p..

Stephen Dawson-Haggerty, Andrew Krioukov, David Culler "Power Optimization: a Reality Check" EECS Department, University of Califonria, Berkeley, Tech. Rep. UCB/EECS-2009-140, Oct., v., 2009, p..

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