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Compliance choice analysis for India's thermal power sector in the market-based energy efficiency regime

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  • Sahoo, Nihar R.
  • Mohapatra, Pratap K.J.
  • Mahanty, Biswajit

Abstract

India has recently introduced a market-based scheme―Perform, Achieve, and Trade―to realize emission reduction by enhancing energy efficiency. In the case of thermal power plants, investment in energy efficiency projects, using clean coal and buying energy saving certificates are the available compliance options for complying with the scheme. These options are associated with specific forms of cash flows that depend on the uncertain price of energy saving certificates and clean coal premium. This paper uses a Monte Carlo-based decision tree approach to find the optimal compliance options for an efficient and a less efficient thermal power plant. The decision tree evaluates different sequences of compliance options in three consecutive PAT cycles by using the discounted cash flows and their associated probabilities. The study shows that investment in energy efficiency is optimal in the first PAT cycle for the inefficient plant only. The threshold certificate price for the efficient plant is substantially higher than the inefficient plant, implying that the real efficiency improvement is likely to take place in the low-efficiency plants. The study also indicates that the investment in high-efficiency plants is not optimal over a wide range of certificate prices and the incremental cost of clean coal.

Suggested Citation

  • Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Mahanty, Biswajit, 2017. "Compliance choice analysis for India's thermal power sector in the market-based energy efficiency regime," Energy Policy, Elsevier, vol. 108(C), pages 624-633.
    • Handle: RePEc:eee:enepol:v:108:y:2017:i:c:p:624-633
    DOI: 10.1016/j.enpol.2017.06.012
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    References listed on IDEAS

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    1. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    2. James E. Smith & Robert F. Nau, 1995. "Valuing Risky Projects: Option Pricing Theory and Decision Analysis," Management Science, INFORMS, vol. 41(5), pages 795-816, May.
    3. Khanna, Madhu & Zilberman, David, 2001. "Adoption of energy efficient technologies and carbon abatement: the electricity generating sector in India," Energy Economics, Elsevier, vol. 23(6), pages 637-658, November.
    4. Donald L. Keefer & Samuel E. Bodily, 1983. "Three-Point Approximations for Continuous Random Variables," Management Science, INFORMS, vol. 29(5), pages 595-609, May.
    5. Bhattacharya, Tanushree & Kapoor, Richa, 2012. "Energy saving instrument – ESCerts in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1311-1316.
    6. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    7. Robert K. Hammond & J. Eric Bickel, 2013. "Reexamining Discrete Approximations to Continuous Distributions," Decision Analysis, INFORMS, vol. 10(1), pages 6-25, March.
    8. Allen C. Miller, III & Thomas R. Rice, 1983. "Discrete Approximations of Probability Distributions," Management Science, INFORMS, vol. 29(3), pages 352-362, March.
    9. Luiz E. Brandão & James S. Dyer & Warren J. Hahn, 2005. "Using Binomial Decision Trees to Solve Real-Option Valuation Problems," Decision Analysis, INFORMS, vol. 2(2), pages 69-88, June.
    10. Espinoza, R. David & Rojo, Javier, 2015. "Using DNPV for valuing investments in the energy sector: A solar project case study," Renewable Energy, Elsevier, vol. 75(C), pages 44-49.
    11. Luiz Brandão & James Dyer, 2005. "Decision Analysis and Real Options: A Discrete Time Approach to Real Option Valuation," Annals of Operations Research, Springer, vol. 135(1), pages 21-39, March.
    12. Mathur, Ritu & Chand, Sharat & Tezuka, Tetsuo, 2003. "Optimal use of coal for power generation in India," Energy Policy, Elsevier, vol. 31(4), pages 319-331, March.
    13. Baldursson, Fridrik M & von der Fehr, N.-H.M.Nils-Henrik M, 2004. "Price volatility and risk exposure: on market-based environmental policy instruments," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 682-704, July.
    14. James E. Smith, 2005. "Alternative Approaches for Solving Real-Options Problems," Decision Analysis, INFORMS, vol. 2(2), pages 89-102, June.
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    Cited by:

    1. Giri, Prashant & Sharma, Tarun, 2024. "Market instrument for the first fuel and its role in decarbonizing Indian industrial production," Energy Policy, Elsevier, vol. 190(C).

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