Assessing the relative efficiency of energy use among similar manufacturing industries
2010; Wiley; Volume: 35; Issue: 6 Linguagem: Inglês
10.1002/er.1701
ISSN1099-114X
AutoresFernando Barrios Aguirre, J. René Villalobos, Patrick E. Phelan, Rafael Pacheco,
Tópico(s)Environmental Impact and Sustainability
ResumoInternational Journal of Energy ResearchVolume 35, Issue 6 p. 477-488 Research Article Assessing the relative efficiency of energy use among similar manufacturing industries Fernando Aguirre, Fernando Aguirre US Airways, AZ 85281, U.S.A.Search for more papers by this authorJ. Rene Villalobos, Corresponding Author J. Rene Villalobos [email protected] International Logistics and Productivity Improvement Laboratory, School of Computing, Informatics and Decisions Systems Engineering, Arizona State University, Tempe, AZ 85287-8809, U.S.A.International Logistics and Productivity Improvement Laboratory, School of Computing, Informatics and Decisions Systems Engineering, Arizona State University, Tempe, AZ 85287-8809, U.S.A.Search for more papers by this authorPatrick E. Phelan, Patrick E. Phelan School of Mechanical, Aerospace, Chemical and Materials Engineering, Arizona State University, Tempe, AZ 85287-6106, U.S.A.Search for more papers by this authorRafael Pacheco, Rafael Pacheco School of Mathematical and Statistical Sciences, Arizona State University, Tempe AZ 85287, U.S.A. Environmental Fluid Dynamics Laboratories, The University of Notre Dame, South Bend, IN 46556, U.S.A.Search for more papers by this author Fernando Aguirre, Fernando Aguirre US Airways, AZ 85281, U.S.A.Search for more papers by this authorJ. Rene Villalobos, Corresponding Author J. Rene Villalobos [email protected] International Logistics and Productivity Improvement Laboratory, School of Computing, Informatics and Decisions Systems Engineering, Arizona State University, Tempe, AZ 85287-8809, U.S.A.International Logistics and Productivity Improvement Laboratory, School of Computing, Informatics and Decisions Systems Engineering, Arizona State University, Tempe, AZ 85287-8809, U.S.A.Search for more papers by this authorPatrick E. Phelan, Patrick E. Phelan School of Mechanical, Aerospace, Chemical and Materials Engineering, Arizona State University, Tempe, AZ 85287-6106, U.S.A.Search for more papers by this authorRafael Pacheco, Rafael Pacheco School of Mathematical and Statistical Sciences, Arizona State University, Tempe AZ 85287, U.S.A. Environmental Fluid Dynamics Laboratories, The University of Notre Dame, South Bend, IN 46556, U.S.A.Search for more papers by this author First published: 07 April 2011 https://doi.org/10.1002/er.1701Citations: 10Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract This article presents a methodology to measure relative industrial energy efficiency across plants within a manufacturing sector through the use of energy-production signatures (EPSs). Linear programming in combination with regression methods, benchmarking and simulation models are used to study the behavior of a representative manufacturing plant. The methodology is validated using data available from the Department of Energy database. The proposed EPSs can be used for proactive benchmarking and diagnostic purposes leading to improvements in energy consumption for individual companies. The results show that the proposed methodology successfully identifies energy and production inefficiencies within a manufacturing segment. Copyright © 2010 John Wiley & Sons, Ltd. Citing Literature Volume35, Issue6May 2011Pages 477-488 RelatedInformation
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