Understanding Industrial Energy Use Through Lean Energy Analysis

被引:10
作者
Abels, Brian [1 ]
Sever, Franc [1 ]
Kissock, Kelly [1 ]
Ayele, Dawit [1 ,2 ]
机构
[1] Univ Dayton, 300 Coll Pk, Dayton, OH 45469 USA
[2] Emcor Energy Serv, Cincinnati, OH 45215 USA
关键词
D O I
10.4271/2011-01-0326
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper describes a simple statistical method to statistically disaggregate industrial energy use into production-dependent, weather-dependent and independent components. This simple statistical disaggregation has many uses, including improving model calibration, quantifying non-productive energy use and identifying energy efficiency opportunities. The process is called Lean Energy Analysis (LEA) because of its relationship to Lean Manufacturing, which seeks to reduce non-productive activity. This paper describes the statistical models, discusses the application of the LEA approach to over 40 industrial facilities, and provides case study examples of the benefits.
引用
收藏
页码:495 / 504
页数:10
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