Abstract
The HERS index is the most well recognized measure for residential energy efficiency in the United States. The index provides an asset label in which the energy efficiency of the home’s design can be compared with other similar homes. The asset label is based on building characteristics and standardized occupant behavior. Plug-loads, such as 120 V appliances, refrigerators, televisions, dish washers and clothes washers are notoriously difficult to model. These loads are dependent on the occupant’s specific behavior which cannot be accounted for completely using standardized user behavior profiles. The HERS index accounts for plug-loads by using a regression model that calculates the annual load based on either the size of the home or the number of bedrooms. This study improves this model by not only using the size of the home and the number of bedrooms which are used in the HERS asset label, but also the statistical interaction between these two variables. In addition, this paper introduces new building characteristics such as climates zone, urbanicity and age of home and compares them to the current HERS model. By using additional building characteristics, this study shows that plug-loads can be modeled more accurately than current accepted practices.
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References
RESNET: Mortgage Industry National Home Energy Rating System Standards. Residential Energy Services, Inc, Oceanside (2014). http://www.resnet.us
RESNET: What is RESNET? (2014). http://www.resnet.us/about/what-is-resnet
Brounen, D., Kok, N., Quigley, J.: Residential energy use and conservation: economics and demographics. Eur. Econ. Rev. 56(2012), 931–945 (2012)
Saldanha, N., Beausoleil-Morrison, I.: Measured end-use electrical load profiles for 12 Canadian houses at high temporal resolution. Energy Build. 49(2012), 519–530 (2012)
Burgett, J., Chini, A.: Using building and occupant characteristics to predict residual miscellaneous electrical loads: a comparison between an asset label and an operational model. J. Build. Perform. Simul. 1–17 (2015)
Nordman, B., Sanchez, M.: Electronics Come of Age: A Taxonomy for Miscellaneous and Low Power Products. Lawrence Berkeley National Laboratory (LBNL-63559) (2006)
Roth, K., McKenney, K., Ponoum, R., Paetsch, C.: ResidentiaL Miscellaneous Electric Loads: Energy Consumption Characterization and Savings Potential in 2006 and Scenario-based Projections for 2020. TIAX LLC (Reference No. D0370) (2008a)
RESNET: The History of RESNET (2012). http://www.resnet.us/about/our-history
US Energy Information Agency: Residential Energy Consumption Survey (RECS) (2011). http://www.eia.gov/consumption/residential/index.cfm
Newsham, G., Donnelly, C.: A model of residential energy end-use in Canada: using conditional demand analysis to suggest policy options for community energy planners. Energy Policy 59(2013), 133–142 (2013)
Roth, K., McKenney, K., Brodrick, J.: Small devices, big loads. ASHRAE J. (2008b)
Wilson, E., Engebrecht-Metzger, C., Horowitz, S., Hendron, R.: Building America House Simulation Protocols. National Renewable Energy laboratory (2014). http://energy.gov/sites/prod/files/2014/03/f13/house_simulation_protocols_2014.pdf
US Department of Labor: Average Paid Holidays, and Days on Vacation and Sick Leave for Full-Time Employees (1996). http://www.bls.gov/news.release/ebs.t05.htm
KEMA, Inc.: 2009 California Residential Appliance Saturation Study. California Energy Commission (Publication number: CEC 200-2010-004-ES) (2010). http://www.energy.ca.gov/appliances/rass/
Sanchez, M.C., Koomey, J.G., Moezzi, M.M., Meier, A.K., Huber, W.: Miscellaneous Electricity Use in the U.S. Residential Sector. Lawrence Berkeley National Laboratory (LBNL-40295) (1998)
Parker, D., Fairey, P., Hendron, R.: Updated Miscellaneous Electricity Loads and Appliances Energy Usage Profiles for Use in Home Energy Ratings, the Building America Benchmark Procedures and Related Calculations. Florida Solar Energy Center (FSEC-CR-1837-10) (2011)
California Energy Commission: Historical Appliances Data Files (2014). http://www.energy.ca.gov/appliances/database/historical_excel_files/
Kutner, M., Nachtsheim, C., Neter, J., Li, W.: Applied Linear Statistical Models, 5th edn. McGraw-Hill/Irwin, Boston (2004)
Ott, R.L., Longnecker, M.: An Introduction to Statistical Methods and Data Analysis, 6th edn. Brooks/Cole, Belmont (2010)
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This study was sponsored by the generous support of the Richard H. Pennell Sr. ’50 Center for Research in Design and Building. The center supports the research, teaching and outreach activities of faculty and students in Clemson’s School of Design and Building.
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Burgett, J.M., Sharp, J.L. HERS standards plug-load interaction model exploration: incorporating the interaction of independent variables to improve the HERS standards plug-load models. Energy Syst 8, 351–367 (2017). https://doi.org/10.1007/s12667-016-0200-1
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DOI: https://doi.org/10.1007/s12667-016-0200-1