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Performance Evaluation of Selected U.S. Utility Commercial Lighting Demand-Side Management Programs

 

作者: Tser-yieth Chen,   OliverS. Yu,  

 

期刊: Energy Engineering  (Taylor Available online 1997)
卷期: Volume 94, issue 4  

页码: 50-66

 

ISSN:0199-8595

 

年代: 1997

 

DOI:10.1080/01998595.1997.10530383

 

出版商: Taylor & Francis Group

 

关键词: Commercial lighting;performance evaluation;data envelopment analysis;demand-side management

 

数据来源: Taylor

 

摘要:

This article selects 18 commercial lighting demand-side management programs of electric utilities in the United States and evaluates their performance. It first uses four conventional measures, i.e., rate impact measurement, total resource cost, total utility cost, and total customer cost, to analyze the costs and benefits of each program. Although all programs achieve good benefit to cost ratios under each measure, the rankings are not always consistent, i.e., a program's ranking in one measure is not always the same as in another measure. To provide a unified basis for comparison, we use a mathematical programming model—the data envelopment analysis (DEA) model—to integrate the results of these four conventional measures for each program. Based on the DEA results, programs of Southern California Edison, New York State Electric & Gas, and Potomac Electric Power produce the best overall performance, followed by Central Maine Power, Pacific Gas & Electric, and Central Vermont Public Service. Finally, this article discusses the implications of the DEA results, which can serve as an effective means for performance benchmarking.

 

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