DEA Based Approach to Set Energy Efficiency Target under PAT Framework: A Case of Indian Cement Industry

• Autorzy: Anoop Singh , Bharat Sharma
• Języki publikacji: EN

Abstrakty

EN

Aim: Propose a Data Envelopment Analysis (DEA) based approach to set energy efficiency targets under the Perform, Achieve and Trade (PAT) framework of the Bureau of Energy Efficiency (BEE) Design / Research methods: We adopt input-oriented non-controllable DEA model with variable return to scale DEA Conclusions / findings: Due to the implication of in-house energy conversion, we estimate separate energy efficiency targets based on "purchased energy" as well as "process energy". The later accounts for energy finally used in the production process after in-house energy conversion. Originality / value of the article: The Bureau of Energy Efficiency (BEE) in India has introduced a market based energy efficiency mechanism under the Perform, Achieve and Trade (PAT) framework. Under this mechanism, energy efficiency certificates can be traded across eight identified sectors thus bringing cost effectiveness to achieve the energy efficiency targets. To implement the scheme, differentiated energy efficiency targets have been set using baseline specific energy consumption. This approach does not account for technical and operational aspects like vintage, scale, output mix and input mix. This study proposes an alternative target setting method based on Data Envelopment Analysis (DEA) which takes into account some of the above mentioned technical and operational differences across the industrial plants. A comparative assessment highlights the efficacy of DEA methodology in implementation of the PAT scheme. We estimate energy efficiency targets based on "purchased energy" as well as "process energy", i.e. that used finally in the production process. Implications of the research: BEE may adopt the suggested approach to set energy efficiency targets for subsequent cycles under the Perform, Achieve and Trade (PAT) framework.(original abstract)

Słowa kluczowe

EN

Data Envelopment Analysis (DEA); Energy consumption; Energy consumption in the industry

PL

Metoda DEA (analiza obwiedni danych); Konsumpcja energii; Energochłonność przemysłu

• Czasopismo: Central European Review of Economics and Management
• Rocznik: 2018
• Tom: 2
• Numer: nr 1 Applications of Data Envelopment Analysis in Developing Countries
• Strony: 103--132

Twórcy

autor

Anoop Singh

• Indian Institute of Technology Kanpur, India

autor

Bharat Sharma

• Indian Institute of Technology Kanpur, India

Bibliografia

• Alacantara V., Duarte R. (2004), Comparison of energy intensities in European Union countries. Results of a structural decomposition analysis, "Energy Policy", vol. 32 no. 2, pp. 177-189.
• Ang B.W., Zhang F.Q. (2000), A survey of index decomposition analysis in energy and environmental studies, "Energy", vol. 25 no. 12, pp. 1149-1176.
• Babusiaux D., Pierru A. (2007), Modelling and allocation of CO2 emissions in a multiproduct industry. The case of oil refining, "Applied Energy", vol. 84 no. 7, pp. 828-841.
• Blomberg J., Henriksson E., Lundmark R. (2012), Energy efficiency and policy in Swedish pulp and paper mills. A data envelopment analysis approach, "Energy Policy", vol. 42, pp. 569-579.
• Bohringer C., Rutherford T.F. (2008), Combining bottom-up and top-down, "Energy Economics", vol. 30 no. 2, pp. 574-596.
• Boyd G.A., Pang J.X. (2000), Estimating the linkage between energy efficiency and productivity, "Energy Policy", vol. 28 no. 5, pp. 289-296.
• Bureau of Energy Efficiency (2011), PAT consultation document, http://220.156.189.23/NMEEE/PAT Consultation Document_10Jan2011.pdf [10.02.2018].
• Bureau of Energy Efficiency (2012), PAT Booklet, "PAT Perform, Achieve and Trade", https://beeindia.gov.in/sites/default/files/PAT PPT_0.pdf [July 2012]
• CEIC (2013), India Premium Database, https://www.ceicdata.com/en/blog/expansion-population-data-india-premium-database [10.03.2018].
• Charnes A., Cooper W.W., Rhodes E. (1978), Measuring the efficiency of decision making units, "European Journal of Operational Research", vol. 2 no. 6, pp. 429-444.
• Edvardsen D.F., Førsund F.R. (2003), International benchmarking of electricity distribution utilities, "Resource and Energy Economics", vol. 25 no. 4, pp. 353-371.
• Farrell M.J. (1957), The measurement of productive efficiency, "Journal of the Royal Statistical Society", vol. 120 no. 3, pp. 253-290.
• Frei C.W., Haldi P.H., Sarlos G. (2003), Dynamic formulation of a top-down and bottom-up merging energy policy model, "Energy Policy", vol. 31 no. 10, pp. 1017-1031.
• Gielen D., Taylor P. (2009), Indicators for industrial energy efficiency in India, "Energy", vol. 34 no. 2, pp. 962-969.
• Greening L.A., Boyd G., Roop J.M. (2007), Modeling of industrial energy consumption. An introduction and context, "Energy Economics", vol. 29 no. 4, pp. 599-608.
• Henning D., Trygg L. (2008), Reduction of electricity use in Swedish industry and its impact on national power supply and European CO2 emissions, "Energy Policy", vol. 36 no. 7, pp. 2330-2350.
• Hu J.L., Kao C.H. (2007), Efficient energy-saving targets for APEC economies, "Energy Policy", vol. 35 no. 1, pp. 373-382.
• International Energy Agency (2007), Tracking industrial energy efficiency and CO2 emissions, https://www.iea.org/publications/freepublications/publication/tracking_emissions.pdf, pp. 140-163 [10.03.2018].
• International Energy Agency (2016), World Energy Statistics 2016, http://www.oecd.org/publications/world-energy-statistics-25183885.htm, pp. II.6-II.320 [10.03.2018].
• Jamasb T., Pollitt M. (2003), International benchmarking and regulation. An application to European electricity distribution utilities, "Energy Policy", vol. 31 no. 15, pp. 1609-1622.
• Lawrence Berkeley National Laboratory (2010), Strategies for low carbon growth in India. Industry and non-residential sectors, https://ies.lbl.gov/sites/all/files/low-co-growth-india-2011.pdf [10.03.2018].
• Lee W.S. (2008), Benchmarking the energy efficiency of government buildings with data envelopment analysis', "Energy and Buildings, vol. 40, pp. 891-895.
• Lee W.S., Lee K.P. (2009), Benchmarking the performance of building energy management using data envelopment analysis, "Applied Thermal Engineering", vol. 29 no. 16, pp. 3269-3273.
• Lescaroux F. (2008), Decomposition of US manufacturing energy intensity and elasticities of components with respect to energy prices, "Energy Economics", vol. 30 no. 3, pp. 1068-1080.
• Madlool N.A., Saidur R., Hossain M.S., Rahim N.A. (2011), A critical review on energy use and savings in the cement industries, "Renewable and Sustainable Energy Reviews", vol. 15 no. 4, pp. 2042-2060.
• Mandal S.K., Madheswaran S. (2011), Energy use efficiency of Indian cement companies. A data envelopment analysis, "Energy Efficiency", vol. 4 no. 1, pp. 57-73.
• Martínez C.I.P. (2011), Energy efficiency development in German and Colombian non-energy-intensive sectors. A non-parametric analysis, "Energy Efficiency", vol. 4 no. 1, pp. 115-131.
• GOI (2012, 2013, 2014, 2015, 2016), Energy Statistics, Ministry of Statistics & Programme Implementation (MOSPI), Government of India, New Delhi.
• Mukherjee K. (2008), Energy use efficiency in US manufacturing. A nonparametric analysis, "Energy Economics", vol. 30 no.1, pp.76-96.
• Nag B., Parikh J. (2000), Indicators of carbon emission intensity from commercial energy use in India, "Energy Economics", vol. 22 no.4, pp. 441-461.
• Oh W., Lee K. (2004), Causal relationship between energy consumption and GDP revisited. The case of Korea 1970-1999, "Energy Economics", vol. 26 no. 1, pp. 51-59.
• Onut S., Soner S. (2006), Energy efficiency assessment for the Antalya Region hotels in Turkey, "Energy and Buildings", vol. 38 no. 8, pp. 964-971.
• Planning Commission (2008), Cement Task Force Reports for the Eleventh Five Year Plan (2007-2012), http://planningcommission.nic.in/plans/planrel/11thf.htm [10.03.2018].
• Ramanathan R. (2000), A holistic approach to compare energy efficiencies of different transport modes, "Energy Policy", vol. 28 no. 11, pp. 743-747.
• Ramanathan R. (2005), An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa, "Energy", vol. 30 no. 15, pp. 2831-2842.
• Shyamal P., Bhattacharya R.N. (2004), Causality between energy consumption and economic growth in India. A note on conflicting results, "Energy Economics", vol. 26 no. 6, pp. 977-983.
• Singh A. (2000), Energy efficiency and CO2 emissions mitigation potential in Indian cement industry, Working Paper No. 78, United Nations University/Institute for Advanced Studies (UNU/IAS), Tokyo.
• Singh A., Parikh K.S., Parikh J. (2010), Inter-fuel substitution, industrial energy demand and carbon emissions. An analysis using firm/plant-level data for 14 industrial sectors in India, VDM Verlag Dr. Müller, Saarbrücken.
• Taeho K. (2008), Efficiency at energy industry. A comparison of energy consumption efficiency among Asian Pacific countries, "Asian Journal on Quality", vol. 9 no. 3, pp. 113-121.
• Unander F. (2004), Decomposition of manufacturing energy-use in IEA countries. How do recent developments compare with historical long-term trends, "Applied Energy", vol. 84 no. 7, pp. 771-780.
• Yang H., Pollitt M. (2009), Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants, "European Journal of Operational Research", vol. 197 no. 3, pp. 1095-1105.
• Zhou P., Ang B.W., Poh K.L. (2008), Measuring environmental performance under different environmental DEA technologies, "Energy Economics", vol. 30 no.1, pp. 1-14.

Identyfikatory

DOI

10.29015/cerem.552