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Evaluation and optimization of feed-in tariffs

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  • Kim, Kyoung-Kuk
  • Lee, Chi-Guhn

Abstract

Feed-in tariff program is an incentive plan that provides investors with a set payment for electricity generated from renewable energy sources that is fed into the power grid. As of today, FIT is being used by over 75 jurisdictions around the world and offers a number of design options to achieve policy goals. The objective of this paper is to propose a quantitative model, by which a specific FIT program can be evaluated and hence optimized. We focus on payoff structure, which has a direct impact on the net present value of the investment, and other parameters relevant to investor reaction and electricity prices. We combine cost modeling, option valuation, and consumer choice so as to simulate the performance of a FIT program of interest in various scenarios. The model is used to define an optimization problem from a policy maker's perspective, who wants to increase the contribution of renewable energy to the overall energy supply, while keeping the total burden on ratepayers under control. Numerical studies shed light on the interactions among design options, program parameters, and the performance of a FIT program.

Suggested Citation

  • Kim, Kyoung-Kuk & Lee, Chi-Guhn, 2012. "Evaluation and optimization of feed-in tariffs," Energy Policy, Elsevier, vol. 49(C), pages 192-203.
    • Handle: RePEc:eee:enepol:v:49:y:2012:i:c:p:192-203
    DOI: 10.1016/j.enpol.2012.05.070
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    References listed on IDEAS

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    1. Couture, Toby & Gagnon, Yves, 2010. "An analysis of feed-in tariff remuneration models: Implications for renewable energy investment," Energy Policy, Elsevier, vol. 38(2), pages 955-965, February.
    2. Barbose, Galen & Wiser, Ryan & Bolinger, Mark, 2008. "Designing PV incentive programs to promote performance: A review of current practice in the US," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(4), pages 960-998, May.
    3. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
    4. G. Mavrotas & D. Diakoulaki & P. Capros, 2003. "Combined MCDA–IP Approach for Project Selection in the Electricity Market," Annals of Operations Research, Springer, vol. 120(1), pages 159-170, April.
    5. Yatchew, Adonis & Baziliauskas, Andy, 2011. "Ontario feed-in-tariff programs," Energy Policy, Elsevier, vol. 39(7), pages 3885-3893, July.
    6. Deng, S.J. & Oren, S.S., 2006. "Electricity derivatives and risk management," Energy, Elsevier, vol. 31(6), pages 940-953.
    7. M. Wahab & Chi-Guhn Lee, 2011. "Pricing swing options with regime switching," Annals of Operations Research, Springer, vol. 185(1), pages 139-160, May.
    8. Arthur van Benthem & Kenneth Gillingham & James Sweeney, 2008. "Learning-by-Doing and the Optimal Solar Policy in California," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 131-152.
    9. J. Muñoz & J. Contreras & J. Caamaño & P. Correia, 2011. "A decision-making tool for project investments based on real options: the case of wind power generation," Annals of Operations Research, Springer, vol. 186(1), pages 465-490, June.
    10. Tamás, Mészáros Mátyás & Bade Shrestha, S.O. & Zhou, Huizhong, 2010. "Feed-in tariff and tradable green certificate in oligopoly," Energy Policy, Elsevier, vol. 38(8), pages 4040-4047, August.
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