Next Article in Journal
From Confining to Sharing for Sustainable Flood Management
Previous Article in Journal
Changes in Local People’s Perceptions of the Sumava National Park in the Czech Republic over a Ten Year Period (1998–2008)
Article Menu

Export Article

Open AccessArticle
Sustainability 2012, 4(7), 1371-1396; doi:10.3390/su4071371

Energy Information Augmented Community-Based Energy Reduction

University of Dayton, Department of Mechanical Engineering, Dayton, OH 45469, USA
University of Dayton, Department of Management Information Systems, Dayton, OH 45469, USA
Energize Clinton County, 6 N South St., Wilmington, OH 45177, USA
Oakwood High School, 20 Rubicon Road, Dayton, OH 45409, USA
Author to whom correspondence should be addressed.
Received: 9 May 2012 / Revised: 8 June 2012 / Accepted: 14 June 2012 / Published: 25 June 2012
View Full-Text   |   Download PDF [1010 KB, uploaded 24 February 2015]   |  


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. View Full-Text
Keywords: energy informatics; energy efficiency; social norms; community wide systems; environmental impact; demand reduction; energy efficiency jobs energy informatics; energy efficiency; social norms; community wide systems; environmental impact; demand reduction; energy efficiency jobs

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hallinan, K.; Enns, H.; Ritchey, S.; Brodrick, P.; Lammers, N.; Hanus, N.; Rembert, M.; Rainsberger, T. Energy Information Augmented Community-Based Energy Reduction. Sustainability 2012, 4, 1371-1396.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top