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 TI  Vol.1 No.4 , November 2010
Cost Benchmarking of Generation Utilities Using DEA: A Case Study of India
Abstract: Technical efficiency of electric utility is the critical element for its competitiveness in the electricity market and very relevant in the Indian electricity sector presently. This paper is aimed to measure the efficiencies of 30 state owned electric generation utilities/companies for the year 2007-08 by applying DEA models with single input and two outputs. The input used is total cost and outputs are units of energy generated and total energy sold or consumed. Cost benchmarking has been carried out so that cost controls can be implemented. In addition, the target evaluation for input cost has also been done. The result of this model shows that GENCOs are generally inefficient in cost frontier and there is an urgent need for intro inspection. This will help for GENCOs. The result shows that the total average of overall, technical and scale efficiencies are 46%, 75.1% and 60% respectively. This efficiency measurement assists the utilities by identifying their shortcomings, setting targets and trying to reach the set targets.
Cite this paper: nullS. Jain, T. Thakur and A. Shandilya, "Cost Benchmarking of Generation Utilities Using DEA: A Case Study of India," Technology and Investment, Vol. 1 No. 4, 2010, pp. 229-234. doi: 10.4236/ti.2010.14028.
References

[1]   K. Sarica and I. Or, “Efficiency Assessment of Turkish Power Plants Using Data Envelopment Analysis,” Energy policy, Vol. 32, 2007, pp. 1484-1499.

[2]   A. Charnes, W. W. Cooper and E. Rhodes, “Measuring the Efficiency of Decision Making Units,” European journal of operational research, Vol. 2, No. 6, 1978, pp 429-444.

[3]   B. Golany, Y. Roll and D. Rybak, “Measuring efficiency of power Plants in Israel by data envelopment analysis,” IEEE transactions on engineering management, Vol. 41, No. 3, 1994, pp. 291-301.

[4]   K. P. Kannan and N. V. Pillai, “Plight of the power sector in India: SEBs and their saga of inefficiency”, Centre for development studies, Thiruvananthapuram, working paper, No. 308, 2000.

[5]   V. K. Yadav, N. P. Padhy and H. O. Gupta, “Assessing the performance of electric utilities of developing countries: An inter country comparison using DEA,” Power and energy general meeting, No. 308, November 2000, pp. 1-87.

[6]   Ministry of power website. www.powermin nic in

[7]   T. Thakur, “Benchmarking Study for the Indian Electric utilities Data Envelopment Analysis,” IEEE Transactions on Power Systems, 2005, pp. 545-549.

[8]   D. K. Jha and R. Shrestha, “Measuring Efficiency of Hydropower Plants in Nepal Using Data Envelopment Analysis,” IEEE Transactions on Power Systems, Vol. 21, No. 4, November 2006, pp. 1502-1511.

[9]   M. Saleem, “Technical efficiency in electricity sector of Pakistan-The impact of private and public ownership,” 2007. www.pide.org.pk

[10]   T. Thakur, S. G. Deshmukh, S. C. Kaushik and M. Kulshrestha, “Impact Assessment of the Electricity Act 2003 on the Indian Power Sector,” Energy Policy, Vol. 33, No. 9, 2005, pp. 1187-1198.

[11]   T. Coelli, D. S. P. Rao and G. E. Battese, “An introduction to efficiency and productivity analysis,”

[12]   R. F. Lovado, “Benchmarking the efficiency of Philippines electric cooperatives using stochastic frontier analysis and data envelopment analysis,” Third east west center international graduate student conference, Hawaii, 2004.

[13]   T. Thakur, S. G. Deshmukh, S. C. Kaushik and M. Kulshrestha, “Impact Assessment of the Electricity Act 2003 on the Indian Power Sector,” Energy Policy, Vol. 33, No. 9, 2005, pp. 1187-1198.

[14]   W. W. Cooper and K. Tone, “Measures of Inefficiency in Data Envelopment Analysis and Stochastic Frontier Estimation,” European Journal of Operational Research, Vol. 99, 1997, pp. 72-88.

[15]   D. K. Jha, N. Yorino and Y. Zoka, “A Modified DEA Model for Benchmarking of Hydropower Plants,” Power Technology, July 2007, pp. 1374-1379.

[16]   A. Vaninsky, “Efficiency of electric power generation in the United States: Analysis and Forecast Based on Data Envelopment Analysis,” Energy Economics, Vol. 28, 2006, pp. 326-338.

[17]   R. Meenakumari and N. Kamraj, “Measurement of Relative Efficiency of State Owned Electric Utilities in India Using Data Envelopment analysis,” Modern Applied Science, Vol. 2, No. 5, September 2008, pp 61-71.

[18]   CEA, “All India Electricity Statistics, General Review 2009,” Central Electricity Authority, New Delhi, India, 2009, pp. 1-235.

[19]   “Report on the Performance of the State Power Utilities for the years 2005-06 to 2007-08,” Power Finance Corporation Ltd, New Delhi.

[20]   M. Abbott, “The Productivity and Efficiency of the Australian Electricity Supply Industry,” Energy Economics, Vol. 28, 2006, pp. 444-338.

[21]   A. Pahwa, X. Feng and D. Lubkeman, “Performance Evaluation of Electric Distribution Utilities Based on Data Envelopment Analysis,” IEEE Transactions on Power Systems, Vol. 18, No. 1, February 2003, pp. 400- 405.

[22]   P. Chitkara, “A Data Envelopment analysis Approach to Evaluation of Operational Inefficiencies in Power Generating Units: A Case Study of Indian Power Plants,” IEEE Transactions on Power Systems, Vol. 14, No. 2, May 1999, pp. 419-425.

 
 
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