Assessing the relative efficiency of energy use among similar manufacturing industries

被引：13

作者：

Aguirre, Fernando ^{[2
]}

Villalobos, J. Rene ^{[1
]}

Phelan, Patrick E. ^{[3
]}

Pacheco, Rafael ^{[4
,5
]}

机构：

[1] Arizona State Univ, Int Logist & Prod Improvement Lab, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85287 USA

[2] US Airways, Tempe, AZ 85281 USA

[3] Arizona State Univ, Sch Mech Aerosp Chem & Mat Engn, Tempe, AZ 85287 USA

[4] Arizona State Univ, Sch Math & Stat Sci, Tempe, AZ 85287 USA

[5] Univ Notre Dame, Environm Fluid Dynam Labs, South Bend, IN 46556 USA

来源：

INTERNATIONAL JOURNAL OF ENERGY RESEARCH | 2011年 / 35卷 / 06期

基金：

美国国家科学基金会;

关键词：

energy-production signatures; data envelopment analysis; aggregate efficiency decomposition model; manufacturing; PRODUCTIVITY; INTENSITY; FRONTIER;

D O I：

10.1002/er.1701

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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 (C) 2010 John Wiley & Sons, Ltd.

引用

页码：477 / 488

页数：12

共 14 条

[1]

AGUIRRE F, 2006, THESIS ARIZONA STATE

[2] Modeling and forecasting the US manufacturing aggregate energy intensity [J].

Al-Ghandoor, A. ;

Phelan, P. E. ;

Villalobos, R. ;

Phelan, B. E. .

INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2008, 32 (06) :501-513

[3] US manufacturing aggregate energy intensity decomposition: The application of multivariate regression analysis [J].

Alghandoor, A. ;

Phelan, P. E. ;

Villalobos, R. ;

Phelan, B. E. .

INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2008, 32 (02) :91-106

[4]

[Anonymous], 2006, Introduction to Linear Regression Analysis

[5]

[Anonymous], 1977, J ECONOMETRICS, DOI DOI 10.1016/0304-4076(77)90052-5

[6] Estimating the linkage between energy efficiency and productivity [J].

Boyd, GA ;

Pang, JX .

ENERGY POLICY, 2000, 28 (05) :289-296

[7]

Boyd GA, 2008, ENERG J, V29, P23

[8] MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].

CHARNES, A ;

COOPER, WW ;

RHODES, E .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444

[9]

Fare R., 1985, MEASUREMENT EFFICIEN

[10]

Murillo-Zamorano LR, 2005, ENERG J, V26, P69

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