Energy Information Augmented Community-Based Energy Reduction

Kevin Hallinan, Harvey Enns, Stephenie Ritchey, Phil Brodrick, Nathan Lammers, Nichole Hanus, Mark Rembert and Tony Rainsberger
Additional contact information
Kevin Hallinan: University of Dayton, Department of Mechanical Engineering, Dayton, OH 45469, USA
Harvey Enns: University of Dayton, Department of Management Information Systems, Dayton, OH 45469, USA
Stephenie Ritchey: University of Dayton, Department of Mechanical Engineering, Dayton, OH 45469, USA
Phil Brodrick: University of Dayton, Department of Mechanical Engineering, Dayton, OH 45469, USA
Nathan Lammers: University of Dayton, Department of Mechanical Engineering, Dayton, OH 45469, USA
Nichole Hanus: University of Dayton, Department of Mechanical Engineering, Dayton, OH 45469, USA
Mark Rembert: Energize Clinton County, 6 N South St., Wilmington, OH 45177, USA
Tony Rainsberger: Oakwood High School, 20 Rubicon Road, Dayton, OH 45409, USA

Sustainability, 2012, vol. 4, issue 7, 1-26

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 informatics; energy efficiency; social norms; community wide systems; environmental impact; demand reduction; energy efficiency jobs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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