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Benchmarking Cleaner Production Performance of Coal-fired Power Plants Using Two-stage Super-efficiency Data Envelopment Analysis
Abstract:Benchmarking cleaner production performance is an effective way of pollution control and emission reduction in coal-fired power industry. A benchmarking method using two-stage super-efficiency data envelopment analysis for coal-fired power plants is proposed – firstly, to improve the cleaner production performance of DEA-inefficient or weakly DEA-efficient plants, then to select the benchmark from performance-improved power plants. An empirical study is carried out with the survey data of 24 coal-fired power plants. The result shows that in the first stage the performance of 16 plants is DEA-efficient and that of 8 plants is relatively inefficient. The target values for improving DEA-inefficient plants are acquired by projection analysis. The efficient performance of 24 power plants and the benchmarking plant is achieved in the second stage. The two-stage benchmarking method is practical to select the optimal benchmark in the cleaner production of coal-fired power industry and will continuously improve plants- cleaner production performance.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080490Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2053
 National Electrical Industry Statistics of China 2007. China Electricity Council, 2008.
 World Energy Outlook 2006. Paris: International Energy Agency, 2006.
 Bulletin of Environmental Statistics 2007. Ministry of Environmental Protection of China, 2008.
 F. J. Xu, Comparison of the Electric Power Industry of China and the US and the Potential of Greenhouse Gas Emission Reduction of Chinese Electric Sector. China Research Center for Public Policy, 2008.
 I. Dincer, "Energy and environmental impacts: present and future perspectives," Energy Sources, vol. 20, no. 4-5, pp. 427-453, May 1998.
 A. J. Jia, M. Jin, X. L. Zhang, "A review on the evaluation index of cleaner production," Shaanxi Environment, vol. 10, no. 3, pp.31-35, June 2003.
 D. Vernon, A Benchmark of Current Cleaner Production Practices. Cleaner Industries Section, Environment Protection Group, Environment Australia, 1997.
 W. Altham, "Benchmarking to trigger cleaner production in small businesses: drycleaning case study," Journal of Cleaner Production, vol. 15, no. 8-9, pp. 798-813, 2007, 15:798-813.
 P. L. Spath, M. K. Mann, D. R. Kerr, Life Cycle Assessment of Coal-fired Power Production. Colorado, USA: National Renewable Energy Laboratory, 1999.
 Q. H. Sun, "The application prospect of life cycle assessment in cleaner production," Research of Environmental Sciences, vol. 15, no. 4, pp. 4-6, Aug. 2002.
 D. N. Song, L. Y. Chai, D. W. He, "Study on life cycle assessment of cleaner production evaluation index of electrolytic aluminium," Environmental Technology, no. 6, pp. 9-13, Dec. 2005.
 W. Q. Xiong, X. Wang, "Application of life-cycle assessment on auditing of cleaner production for the cement factory," Environmental Science Survey, vol. 26, no. 2, pp. 15-17, April 2007.
 W. Q. Xiong, G. Yin, Q. C. Liu, "Research on grey correlation analysis for cleaner production," Journal of Chongqing University, vol. 32, no. 11, pp. 1352-1356, Nov. 2009.
 F. Zhang, Study on Cleaner Production Performance Estimation of Iron and Steel Enterprise. Chongqing: Chongqing University, 2004.
 M. Q. Cai, The Application Research of Fuzzy Synthesis Evaluation in CPA. Lanzhou: Lanzhou University, 2008.
 L. M. Sun, Y. Y. Bai, Z. Chen, "Cleaner production assessment model of coal preparation plant," Journal of Liaoning Technical University, vol. 26, no. 1, pp. 151-154, Feb. 2007.
 J. Tian, Y. Wang, N. Liu, G. F. Lu, "The research on application of clean production assessment in environmental impact assessment about paper manufacturing industry," Ecological Economy, no. 5, pp. 101-105, May 2007.
 X. L. Ma, The Method Based on Bayesian Network in Assessment of Cleaner Production in Eco-Industrial Park. Changchun: Jlin University, 2007.
 X. S. Song, Y. H. Wang, X. P. Lu, "Application on cleaner production assessment of data envelopment analysis model," Sichuan Environment, vol.22, no. 5, pp.58-62, Oct. 2003.
 Comparative Study Report on EU-China Benchmarking of Energy Efficiency and Industrial Emissions. Nanjing Research Institute for Environmental Protection, 2008.
 D. Bongardt, L. Jarczynski, C. Michelsen, Energy Efficiency and Environmental Data from the European Union Industry Sector: Benchmarking Report. The Wuppertal Institute for Climate, Energy and Environment, 2007.
 M. Kortelainen, Production Frontier Methods in Environmental Performance Measurement and Analysis. Faculty of Law, Economics and Business Administration, University of Joensuu, 2008.
 D. G. Liu, J. R. Tang, "Decision model basing on circulate economic benchmarking of quantity," Journal of Yunnan Normal University, vol. 27, no. 1, pp. 27-31, Jan. 2007.
 Z. R. Zhou, Q. Wang, J. H. Li, "Performance evaluation by means of improved DEA method," Chinese Journal of Management Science, vol. 11, no. 3, pp. 72-75, June 2003.
 J. Y. Liu, "Benchmarking using super efficiency data envelopment analysis and its sensitivity analysis," Industrial Engineering Journal, vol.11, no.4, pp.74-77, July 2008.
 G. Y. Miao, Sensitivity Analysis on Fuzzy DEA-DA Model and DEA-Benchmarking Model. Changchun: Jilin University, 2008.
 T. Jamasb, International Utility Benchmarking & Regulation: An Application to European Eelectricity Distribution Companies. DAE Working Paper, No. 0115, Department of Applied Economics, University of Cambridge, 2002.
 P. Burns, C. Jecnkins, C. Riechmann, "The role of benchmarking for yardstick competition," Utilities Policy, vol. 13, no.4, pp. 302-309, Dec. 2005.
 P. J. Agrell, P. Bogetoft, J. Tind, "DEA and dynamic yardstick competition in Scandinavian electricity distribution," Journal of Productivity Analysis, vol. 23, pp. 173-201, May 2005.
 A. Charnes, W. W. Cooper, E. Rhodes, "Measuring the efficiency of decision making units," European Journal of Operational Research, vol. 2, no. 6, pp. 429-444, Nov. 1978.
 R. D. Banker, "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, vol. 17, no.1, pp. 35-44, July 1984.
 P. Andersen, N. C. Petersen, "A procedure for ranking efficient units in data envelopment analysis," Management Science, vol. 39, no. 10, pp. 1261-1264, Oct. 1993.
 J. Zhu, "Super-efficiency and DEA sensitivity analysis," European Journal of Operational Research, vol. 129, no.2, pp. 443-455, Mar. 2001.
 Q. L. Wei, Data Envelopment Analysis. Beijing: Science Press, 2004, p. 53.
 H. Scheel, "Undesirable outputs in efficiency valuations," European Journal of Operational Research, vol. 132, no.2, pp. 400-410, July 2001.
 P. J. Korhonen, M. Luptacik, "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, vol. 154, no. 2, pp. 437-446, April 2004.
 B. Golany, Y. Roll, "An application procedure for DEA," Omega, vol. 17, no. 3, pp. 237-250, May 1989.
 N. Zhu, Y. Liu, "On the development models and choice of routes of new industrialization of Chinese regions," The Journal of Quantitative & Technical Economics, no.5, pp. 3-16, May 2009.