Specifying An Efficient Renewable Energy Feed-in Tariff
This paper derives efficient pricing formulae for renewable energy Feed-in Tariff (FiT) designs that incorporate exposure to uncertain market prices by using option pricing theory. Such FiT designs are presented as a means to delineate market price risk amongst investors and policymakers when designing renewable energy support schemes. Sequential game theory provides the theoretical framework through which we model the strategic interaction of policymakers and investors during policy formulation. This model is solved using option pricing theory when a FiT is comprised of market prices combined with a guaranteed element. This solution also allows for an analytical formulation of the policy cost of subsidisation. Partial derivatives characterise sensitivity of policy cost and investor remuneration to deviations in market conditions beyond those expected. Analytical derivations provide a set of tools which may guide more efficient FiT policy and investment decisions. Numerical simulations demonstrate application for a stylised Irish case study, with a scenario analysis providing further insight into the relative sensitivity of policy cost and investor remuneration under different market conditions.
|Date of creation:||Sep 2013|
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- Tsitakis, D. & Xanthopoulos, S. & Yannacopoulos, A.N., 2006. "A closed-form solution for the price of cross-commodity electricity derivatives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 543-551.
- Lyle, Matthew R. & Elliott, Robert J., 2009. "A 'simple' hybrid model for power derivatives," Energy Economics, Elsevier, vol. 31(5), pages 757-767, September.
- Derek M. Lemoine, 2010. "Valuing Plug-In Hybrid Electric Vehicles' Battery Capacity Using a Real Options Framework," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 113-144.
- Somayeh Heydari & Nick Ovenden & Afzal Siddiqui, 2012. "Real options analysis of investment in carbon capture and sequestration technology," Computational Management Science, Springer, vol. 9(1), pages 109-138, February.
- Fred Espen Benth & Lars Ekeland & Ragnar Hauge & BjøRn Fredrik Nielsen, 2003. "A note on arbitrage-free pricing of forward contracts in energy markets," Applied Mathematical Finance, Taylor & Francis Journals, vol. 10(4), pages 325-336.
- Matthias Kalkuhl & Ottmar Edenhofer & Kai Lessmann, 2011.
"Learning or Lock-in: Optimal Technology Policies to Support Mitigation,"
CESifo Working Paper Series
3422, CESifo Group Munich.
- Kalkuhl, Matthias & Edenhofer, Ottmar & Lessmann, Kai, 2012. "Learning or lock-in: Optimal technology policies to support mitigation," Resource and Energy Economics, Elsevier, vol. 34(1), pages 1-23.
- Fell, Harrison & Linn, Joshua, 2013.
"Renewable electricity policies, heterogeneity, and cost effectiveness,"
Journal of Environmental Economics and Management,
Elsevier, vol. 66(3), pages 688-707.
- Harrison Fell & Joshua Linn, 2012. "Renewable Electricity Policies, Heterogeneity, and Cost Effectiveness," Working Papers 2012-07, Colorado School of Mines, Division of Economics and Business.
- M. T. Barlow, 2002. "A Diffusion Model For Electricity Prices," Mathematical Finance, Wiley Blackwell, vol. 12(4), pages 287-298.
- Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-54, May-June.
- Conrad, Jon M., 2000. "Wilderness: options to preserve, extract, or develop," Resource and Energy Economics, Elsevier, vol. 22(3), pages 205-219, July.
- Markus Burger & Bernhard Klar & Alfred Muller & Gero Schindlmayr, 2004. "A spot market model for pricing derivatives in electricity markets," Quantitative Finance, Taylor & Francis Journals, vol. 4(1), pages 109-122.
- Eric Pickles & James L. Smith, 1993. "Petroleum Property Valuation: A Binomial Lattice Implementation of Option Pricing Theory," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-26.
- Albanese, Claudio & Lo, Harry & Stathis, Tompaidis, 2006. "A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based on Continuous Time Lattices," MPRA Paper 5245, University Library of Munich, Germany.
- James L. Smith, 2005. "Petroleum Prospect Valuation: The Option to Drill Again," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 53-68.
- Doherty, Ronan & O'Malley, Mark, 2011. "The efficiency of Ireland's Renewable Energy Feed-In Tariff (REFIT) for wind generation," Energy Policy, Elsevier, vol. 39(9), pages 4911-4919, September.
- Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
- Conor Devitt & Laura Malaguzzi Valeri, 2011. "The Effect of REFIT on Irish Wholesale Electricity Prices," The Economic and Social Review, Economic and Social Studies, vol. 42(3), pages 343–369.
- 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.
- Kim, Kyoung-Kuk & Lee, Chi-Guhn, 2012. "Evaluation and optimization of feed-in tariffs," Energy Policy, Elsevier, vol. 49(C), pages 192-203.
- Drew Fudenberg & Jean Tirole, 1991. "Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061414.
- Mc Garrigle, E.V. & Deane, J.P. & Leahy, P.G., 2013. "How much wind energy will be curtailed on the 2020 Irish power system?," Renewable Energy, Elsevier, vol. 55(C), pages 544-553.
- del Río, Pablo & Bleda, Mercedes, 2012. "Comparing the innovation effects of support schemes for renewable electricity technologies: A function of innovation approach," Energy Policy, Elsevier, vol. 50(C), pages 272-282.
- Fagiani, Riccardo & Barquín, Julián & Hakvoort, Rudi, 2013. "Risk-based assessment of the cost-efficiency and the effectivity of renewable energy support schemes: Certificate markets versus feed-in tariffs," Energy Policy, Elsevier, vol. 55(C), pages 648-661.
- Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
- Bürer, Mary Jean & Wüstenhagen, Rolf, 2009. "Which renewable energy policy is a venture capitalist's best friend? Empirical evidence from a survey of international cleantech investors," Energy Policy, Elsevier, vol. 37(12), pages 4997-5006, December.
- Chambers, Catherine M. & Chambers, Paul E. & Whitehead, John C., 1994. "Conservation organizations and the option value to preserve: an application to debt-for-nature swaps," Ecological Economics, Elsevier, vol. 9(2), pages 135-143, February.
- James A. Overdahl & H. Lee Matthews, 1988. "The Use of NYMEX Options to Forecast Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
- Woo, Chi-Keung, 1988. "Optimal electricity rates and consumption externality," Resources and Energy, Elsevier, vol. 10(4), pages 277-292, December.
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