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ACS Style

Kevin Hallinan; Harvey Enns; Stephenie Ritchey; Phil Brodrick; Nathan Lammers; Nichole Hanus; Mark Rembert; Tony Rainsberger. Energy Information Augmented Community-Based Energy Reduction. Sustainability 2012, 4, 1371 -1396.

AMA Style

Kevin Hallinan, Harvey Enns, Stephenie Ritchey, Phil Brodrick, Nathan Lammers, Nichole Hanus, Mark Rembert, Tony Rainsberger. Energy Information Augmented Community-Based Energy Reduction. Sustainability. 2012; 4 (7):1371-1396.

Chicago/Turabian Style

Kevin Hallinan; Harvey Enns; Stephenie Ritchey; Phil Brodrick; Nathan Lammers; Nichole Hanus; Mark Rembert; Tony Rainsberger. 2012. "Energy Information Augmented Community-Based Energy Reduction." Sustainability 4, no. 7: 1371-1396.

Energy Information Augmented Community-Based Energy Reduction

1  University of Dayton, Department of Mechanical Engineering, Dayton, OH 45469, USA
2  University of Dayton, Department of Management Information Systems, Dayton, OH 45469, USA
3  Energize Clinton County, 6 N South St., Wilmington, OH 45177, USA
4  Oakwood High School, 20 Rubicon Road, Dayton, OH 45409, USA

Abstract: More than one-half of all U.S. states have instituted energy efficiency mandates requiring utilities to reduce energy use. To achieve these goals, utilities have been permitted rate structures to help them incentivize energy reduction projects. This strategy is proving to be only modestly successful in stemming energy consumption growth. By the same token, community energy reduction programs have achieved moderate to very significant energy reduction. The research described here offers an important tool to strengthen the community energy reduction efforts—by providing such efforts energy information tailored to the energy use patterns of each building occupant. The information provided most importantly helps each individual energy customer understand their potential for energy savings and what reduction measures are most important to them. This information can be leveraged by the leading community organization to prompt greater action in its community. A number of case studies of this model are shown. Early results are promising.

Keywords: Energy Efficiency, community wide systems, demand reduction, energy efficiency jobs, energy informatics, environmental impact, Social norms

Published: 25 June 2012 in Sustainability

https://doi.org/10.3390/su4071371