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Energy Information Augmented Community-Based Energy Reduction
  • Kevin P. Hallinan, University of Dayton
  • Harvey Enns, University of Dayton
  • Stephenie Ritchey, University of Dayton
  • Phil Brodrick, University of Dayton
  • Nathan Lammers, University of Dayton
  • Nichole Hanus, University of Dayton
  • Mark Rembert, Energize Clinton County
  • Tony Rainsberger, Oakwood High School
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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.

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This is an open access article distributed under the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Citation Information
Kevin P. Hallinan, Harvey Enns, Stephenie Ritchey, Phil Brodrick, et al.. "Energy Information Augmented Community-Based Energy Reduction" Sustainability Vol. 4 Iss. 7 (2012)
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