Data envelopment analysis based efficiency assessment of power plants

Generation plant efficiency is an important measure for evaluating the operating behavior of a power plant, and hence an issue of extensive concern with generation companies. On the other hand, in the deregulated electricity market environment, the change of generation efficiency before and after the restructuring is a very important index for evaluating, at least to some extent, if the restructuring is successful or not. This paper estimates the efficiency of an electric power generation company for the period of 1991 through 2008 using Data Envelopment Analysis (DEA). Heat rate and utilization of net capacity are used as DEA outputs; installed capacity per capital, labor efficiency, share of operating expenses to revenue and share of energy loss to net generation are used as DEA inputs. Obtained results reveal a relative increase in efficiency after the restructuring, and hence providing some modest support for restructuring.

[1]  Alexander Vaninsky,et al.  Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis , 2006 .

[2]  篠原 正明,et al.  William W.Cooper,Lawrence M.Seiford,Kaoru Tone 著, DATA ENVELOPMENT ANALYSIS : A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers, 2000年, 318頁 , 2002 .

[3]  Tser-yieth Chen,et al.  An assessment of technical efficiency and cross-efficiency in Taiwan's electricity distribution sector , 2002, Eur. J. Oper. Res..

[4]  David E. Dismukes,et al.  A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance , 2000 .

[5]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[6]  J. Yunos,et al.  The efficiency of the National Electricity Board in Malaysia: an intercountry comparison using DEA , 1997 .

[7]  Lawrence M. Seiford,et al.  Data envelopment analysis: The evolution of the state of the art (1978–1995) , 1996 .

[8]  Catherine Waddams Price,et al.  Efficiency and ownership in electricity distribution: A non-parametric model of the Turkish experience , 1996 .

[9]  R. Banker Maximum likelihood, consistency and data envelopment analysis: a statistical foundation , 1993 .

[10]  Lennart Hjalmarsson,et al.  Efficiency and ownership in Swedish electricity retail distribution , 1992 .

[11]  D. Côté FIRM EFFICIENCY AND OWNERSHIP STRUCTURE , 1989 .

[12]  A. Charnes,et al.  Classifying and characterizing efficiencies and inefficiencies in data development analysis , 1986 .

[13]  Boaz Golany,et al.  Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions , 1985 .

[14]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[15]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[16]  Lennart Hjalmarsson,et al.  Productivity in Swedish Electricity Retail Distribution , 1992 .

[17]  S. Fischer,et al.  Lectures on Macroeconomics , 1972 .