ABSTRACT
Presenting a fairly controlled environment for instrumentation and implementation of energy use policies, the University of California at San Diego provides an excellent testbed to characterize and understand energy consumption of buildings at the scale of a small town with over 45,000 residents. We present data collected from four selected buildings that are archetypes of diverse buildings from residence halls to data centers. In particular, we focus on 'mixed-use' buildings where the energy consumption of IT equipment accounts for more than a quarter of the total energy use. Our detailed observations identify the primary components of the baseline energy use and the sources of peaks in energy consumption. Surprisingly, computing accounts for a large fraction of the baseline energy use, thus giving insights in how to significantly reduce power consumption by creating effectively duty-cycled buildings.
- Y. Agarwal, S. Hodges, R. Chandra, J. Scott, P. Bahl, and R. Gupta. Somniloquy: Augmenting Network Interfaces to Reduce PC Energy Usage. In Proceedings of USENIX Symposium on Networked Systems Design and Implementation (NSDI '09). USENIX Association Berkeley, CA, USA, 2009. Google ScholarDigital Library
- California Energy Commission. CEC End-Use Survey, CEC-400-2006-005, March 2006. http://buildingsdatabook.eren.doe.gov/.Google Scholar
- J. Chase, D. C. Anderson, P. Thakkar, A. Vahdat, and R. P. Doyle. Managing Eenergy and Server Resources in Hosting Centers. In Proceedings of SOSP '01, 2001. Google ScholarDigital Library
- DOE. Buildings Energy Data Book, Department of Energy, March 2009. http://buildingsdatabook.eren.doe.gov/.Google Scholar
- X. Fan, W.-D. Weber, and L. A. Barrosso. Power provisioning for a warehouse-sized computer. In Proceedings of ISCA '07, 2007. Google ScholarDigital Library
- X. Jiang, S. Dawson-Haggerty, P. Dutta, and D. Culler. Design and Implementation of a High-Fidelity AC Metering Network. In Proceedings of IPSN/SPOTS '09, 2009. Google ScholarDigital Library
- M. A. Kazandjieva, B. Heller, P. Levis, and C. Kozyrakis. Energy Dumpster Diving. In Proceedings of HotPower '09, 2009.Google Scholar
- P. Lieberman. Wake-on-LAN technology. http://www.liebsoft.com/index.cfm/whitepapers/Wake_On_LAN.Google Scholar
- S. Nedevschi, J. Chandrashekar, B. Nordman, S. Ratnasamy, and N. Taft. Skilled in the art of being idle: reducing energy waste in networked systems. In Proceedings of the 6th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2009. Google ScholarDigital Library
- R. Raghavendra, P. Ranganathan, V. Talwar, Z.Wang, and X. Zhu. No "Power Struggles": Coordinated Multi-Level Power Management for the Data Center. In Proceedings of ASPLOS '08, 2008. Google ScholarDigital Library
- J. Roberson, C.Webber, M. McWhinney, R. Brown, M. Pinckard, and J. Busch. After-hours Power Status of Office Equipment and Energy use of Miscellaneous Plug-load Equipment. Lawrence Berkeley National Laboratory, Berkeley, California. Report# LBNL-53729-Revised, 2004.Google Scholar
- K. Roth and K. McKenney. Energy Consumption by Consumer Electronics in US Residences. Final Report to the Consumer Electronics Association (CEA), 2007.Google Scholar
- WattsUP. WattsUP Energy Meters. http://wattsupmeters.com.Google Scholar
Index Terms
- The energy dashboard: improving the visibility of energy consumption at a campus-wide scale
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