ABSTRACT
Energy consumption in buildings comprises a significant fraction of total worldwide energy consumption and is strongly influenced by occupant behavior. To explore the quantitative effect of particular occupant actions on building energy consumption, we have evaluated eight energy-saving behaviors, as well as the use of an in-home display (IHD), in 10 homes over the course of ten weeks. The results showed maximum savings ranging from 0%-20% attributed to the IHD, indicating that real-time feedback combined with actionable suggestions can motivate substantial conservation. By examining the data along with pre and post-experiment surveys, we conclude that automation is necessary to ease the more tedious tasks such as "unplug when not in use" and "unplug the TV," where fewer than half of the highly capable and motivated participants performed the actions.
- Y. Agarwal, T. Weng, and R. K. Gupta. The energy dashboard: Improving the visibility of energy consumption at a campus-wide scale. In Proceedings of The First ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), 2009. Google ScholarDigital Library
- R. Anderson and D. Roberts. Maximizing residential energy savings: Net zero energy home technology pathways. Technical Report NREL/TP-550-44547, National Renewable Energy Laboratory, 2008.Google ScholarCross Ref
- C. Barley, C. Haley, R. Anderson, and L. Pratsch. Building America System Research Plan for Reduction of Miscellaneous Electrical Loads in Zero Energy Homes. Technical Report NREL/TP-550-43718, National Renewable Energy Laboratory, 2008.Google ScholarCross Ref
- I. Bensch, S. Pigg, K. Koski, and R. Belshe. Electricity Savings Opportunities for Home Electronics and Other Plug-In Devices in Minnesota Homes: A technical and behavioral field assessment. Technical report, Energy Center of Wisconsin, 2010.Google Scholar
- M. F. Fels. PRISM: An introduction. Energy and Buildings, 9, 1986.Google Scholar
- Google Inc. Google PowerMeter. http://www.google.org/powermeter/, accessed 2009.Google Scholar
- X. Jiang, S. Dawson-Haggerty, P. Dutta, and D. Culler. Design and implementation of a high-fidelity ac metering network. In Proceedings of the 8th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2009. Google ScholarDigital Library
- X. Jiang, M. V. Ly, J. Taneja, P. Dutta, and D. Culler. Experiences with a high-fidelity wireless building energy auditing network. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2009. Google ScholarDigital Library
- Natural Resources Defense Council (NRDC). How to reduce your energy consumption. http://www.nrdc.org/air/energy/genergy.asp, accessed 2010.Google Scholar
- B. Neenan. Residential electricity use feedback: A research synthesis and economic framework. Technical Report 1016844, Electric Power Research Institute, 2009.Google Scholar
- U. D. of Energy. Buildings energy databook (2011), access date: 2012.Google Scholar
- W. Y. Park, A. Phadke, N. Shah, and V. Letschert. TV energy consumption trends and energy-efficiency improvement options. Lawrence Berkeley National Laboratory (LBNL-5024E), 2011.Google Scholar
- U.S. Census Beureau. America's families and living arrangements: 2007. http://www.census.gov/population/www/socdemo/hh-fam/p20--561.pdf, 2009.Google Scholar
- U.S. Census Beureau. Characteristics of new housing: 2009. http://www.census.gov/const/www/charindex.html, 2009.Google Scholar
- U.S. Census Beureau. American housing survey for the united states: 2007. http://www.census.gov/prod/2008pubs/h150-07.pdf, Issued 2008.Google Scholar
- U.S. Department of Agriculture. Kitchen Companion Fact Sheet. http://www.fsis.usda.gov/PDF/Kitchen_Companion.pdf, February, 2008.Google Scholar
- U.S. Department of Energy. Buildings energy data book. http://buildingsdatabook.eren.doe.gov/, 2009.Google Scholar
- U.S. Energy Information Administration. U.S. household electricity report. http://www.eia.doe.gov/emeu/reps/enduse/er01_us.html, 2005.Google Scholar
- U.S. Environmental Protection Agency. CalculatorProgrammableThermostat.xls. http://www.energystar.gov/index.cfm?fuseaction=find_a_product.showProductGroup&pgw_code=TH.Google Scholar
Index Terms
- Building the case for automated building energy management
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