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Economics of Electricity Self-Generation by Industrial Firms

Author

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  • Kenneth Rose
  • John F. McDonald

Abstract

This study develops, and econometrically tests, a model explaining the relative importance of several key economic and engineering factors that industrial firms consider when deciding whether to self-generate or cogenerate electricity. The model and empirical results (based on data from the chemical and paper industries) suggest that industrial self-generation is determined by the derived demand for electricity, price of purchased electricity, and marginal cost of self-generation. The buyback rate was found to be important only when certain economic and engineering conditions are met -- such as a relatively low marginal cost and/or a sufficiently high buyback rate. The evidence presented suggests that for most (inns the buyback rate plays no role in determining the quantity of electricity demanded or produced. The results indicate that policy actions related to industrial cogeneration should focus on the price of electricity and factors that affect the plant's marginal cost of producing electricity.

Suggested Citation

  • Kenneth Rose & John F. McDonald, 1991. "Economics of Electricity Self-Generation by Industrial Firms," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 47-66.
    • Handle: RePEc:aen:journl:1991v12-02-a04
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    Cited by:

    1. Bonilla, David, 2007. "Fuel Price Changes and the Adoption of Cogeneration in the U.K. and Netherlands," The Electricity Journal, Elsevier, vol. 20(7), pages 59-71.
    2. Zarnikau, Jay & Reilley, Bob, 1996. "The evolution of the cogeneration market in Texas," Energy Policy, Elsevier, vol. 24(1), pages 67-79, January.
    3. Soares, J. B. & Szklo, A. S. & Tolmasquim, M. T., 2001. "Incentive policies for natural gas-fired cogeneration in Brazil's industrial sector -- case studies: chemical plant and pulp mill," Energy Policy, Elsevier, vol. 29(3), pages 205-215, February.
    4. Schwob, Marcelo Rousseau Valença & Henriques Jr., Maurício & Szklo, Alexandre, 2009. "Technical potential for developing natural gas use in the Brazilian red ceramic industry," Applied Energy, Elsevier, vol. 86(9), pages 1524-1531, September.
    5. Seeto, Dewey & Woo, C. K. & Horowitz, Ira, 1997. "Time-of-use rates vs. Hopkinson tariffs redux: An analysis of the choice of rate structures in a regulated electricity distribution company," Energy Economics, Elsevier, vol. 19(2), pages 169-185, May.
    6. Wickart, Marcel & Madlener, Reinhard, 2007. "Optimal technology choice and investment timing: A stochastic model of industrial cogeneration vs. heat-only production," Energy Economics, Elsevier, vol. 29(4), pages 934-952, July.
    7. Ghosh, Ranjan & Kathuria, Vinish, 2014. "The transaction costs driving captive power generation: Evidence from India," Energy Policy, Elsevier, vol. 75(C), pages 179-188.
    8. Strachan, Neil & Dowlatabadi, Hadi, 2002. "Distributed generation and distribution utilities," Energy Policy, Elsevier, vol. 30(8), pages 649-661, June.
    9. Bhattacharyya, Subhes C & Quoc Thang, Dang Ngoc, 2004. "Economic buy-back rates for electricity from cogeneration: Case of sugar industry in Vietnam," Energy, Elsevier, vol. 29(7), pages 1039-1051.
    10. Westner, Günther & Madlener, Reinhard, 2011. "Development of cogeneration in Germany: A mean-variance portfolio analysis of individual technology’s prospects in view of the new regulatory framework," Energy, Elsevier, vol. 36(8), pages 5301-5313.
    11. Mary Jialin Li, 2016. "Cogeneration Technology Adoption in the U.S," Working Papers 16-30, Center for Economic Studies, U.S. Census Bureau.
    12. Dismukes, David E. & Kleit, Andrew N., 1999. "Cogeneration and electric power industry restructuring," Resource and Energy Economics, Elsevier, vol. 21(2), pages 153-166, May.

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    JEL classification:

    • F0 - International Economics - - General

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