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Risk implications of renewable support instruments: Comparative analysis of feed-in tariffs and premiums using a mean–variance approach

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  • Kitzing, Lena

Abstract

Different support instruments for renewable energy expose investors differently to market risks. This has implications on the attractiveness of investment. We use mean–variance portfolio analysis to identify the risk implications of two support instruments: feed-in tariffs and feed-in premiums. Using cash flow analysis, Monte Carlo simulations and mean–variance analysis, we quantify risk-return relationships for an exemplary offshore wind park in a simplified setting. We show that feed-in tariffs systematically require lower direct support levels than feed-in premiums while providing the same attractiveness for investment, because they expose investors to less market risk. These risk implications should be considered when designing policy schemes.

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  • Kitzing, Lena, 2014. "Risk implications of renewable support instruments: Comparative analysis of feed-in tariffs and premiums using a mean–variance approach," Energy, Elsevier, vol. 64(C), pages 495-505.
  • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:495-505
    DOI: 10.1016/j.energy.2013.10.008
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    1. Bar-Lev, Dan & Katz, Steven, 1976. "A Portfolio Approach to Fossil Fuel Procurement in the Electric Utility Industry," Journal of Finance, American Finance Association, vol. 31(3), pages 933-947, June.
    2. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    3. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    4. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    5. 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.
    6. Levitt, Andrew C. & Kempton, Willett & Smith, Aaron P. & Musial, Walt & Firestone, Jeremy, 2011. "Pricing offshore wind power," Energy Policy, Elsevier, vol. 39(10), pages 6408-6421, October.
    7. Guerrero-Lemus, Ricardo & Marrero, Gustavo A. & Puch, Luis A., 2012. "Costs for conventional and renewable fuels and electricity in the worldwide transport sector: A mean–variance portfolio approach," Energy, Elsevier, vol. 44(1), pages 178-188.
    8. K. Borch, 1969. "A Note on Uncertainty and Indifference Curves," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(1), pages 1-4.
    9. Dowd, Kevin, 2000. "Adjusting for risk:: An improved Sharpe ratio," International Review of Economics & Finance, Elsevier, vol. 9(3), pages 209-222, July.
    10. Mitchell, C. & Bauknecht, D. & Connor, P.M., 2006. "Effectiveness through risk reduction: a comparison of the renewable obligation in England and Wales and the feed-in system in Germany," Energy Policy, Elsevier, vol. 34(3), pages 297-305, February.
    11. H. Brett Humphreys & Katherine T. McClain, 1998. "Reducing the Impacts of Energy Price Volatility Through Dynamic Portfolio Selection," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 107-131.
    12. Falconett, Irina & Nagasaka, Ken, 2010. "Comparative analysis of support mechanisms for renewable energy technologies using probability distributions," Renewable Energy, Elsevier, vol. 35(6), pages 1135-1144.
    13. Awerbuch, Shimon, 1995. "Market-based IRP: It's easy!!!," The Electricity Journal, Elsevier, vol. 8(3), pages 50-67, April.
    14. Carta, José A. & Velázquez, Sergio, 2011. "A new probabilistic method to estimate the long-term wind speed characteristics at a potential wind energy conversion site," Energy, Elsevier, vol. 36(5), pages 2671-2685.
    15. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    16. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    17. Roques, Fabien A. & Newbery, David M. & Nuttall, William J., 2008. "Fuel mix diversification incentives in liberalized electricity markets: A Mean-Variance Portfolio theory approach," Energy Economics, Elsevier, vol. 30(4), pages 1831-1849, July.
    18. Maria Kopsakangas-Savolainen & Rauli Svento, 2013. "Promotion of Market Access for Renewable Energy in the Nordic Power Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(4), pages 549-569, April.
    19. Lena Kitzing & Sascha T. Schröder, 2012. "Regulating Future Offshore Grids: Economic Impact Analysis on Wind Parks and Transmission System Operators," RSCAS Working Papers 2012/65, European University Institute.
    20. Lund, Henrik, 2005. "Large-scale integration of wind power into different energy systems," Energy, Elsevier, vol. 30(13), pages 2402-2412.
    21. Villanueva, D. & Feijóo, A., 2010. "Wind power distributions: A review of their applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1490-1495, June.
    22. 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.
    23. Arnesano, M. & Carlucci, A.P. & Laforgia, D., 2012. "Extension of portfolio theory application to energy planning problem – The Italian case," Energy, Elsevier, vol. 39(1), pages 112-124.
    24. Awerbuch, Shimon, 1993. "The surprising role of risk in utility integrated resource planning," The Electricity Journal, Elsevier, vol. 6(3), pages 20-33, April.
    25. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2007. "The merit-order effect: a detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Working Papers "Sustainability and Innovation" S7/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    26. Francisco Munoz & Enzo Sauma & Benjamin Hobbs, 2013. "Approximations in power transmission planning: implications for the cost and performance of renewable portfolio standards," Journal of Regulatory Economics, Springer, vol. 43(3), pages 305-338, June.
    27. 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.
    28. Wüstenhagen, Rolf & Menichetti, Emanuela, 2012. "Strategic choices for renewable energy investment: Conceptual framework and opportunities for further research," Energy Policy, Elsevier, vol. 40(C), pages 1-10.
    29. Pousinho, H.M.I. & Mendes, V.M.F. & Catalão, J.P.S., 2011. "A risk-averse optimization model for trading wind energy in a market environment under uncertainty," Energy, Elsevier, vol. 36(8), pages 4935-4942.
    30. Kitzing, Lena & Mitchell, Catherine & Morthorst, Poul Erik, 2012. "Renewable energy policies in Europe: Converging or diverging?," Energy Policy, Elsevier, vol. 51(C), pages 192-201.
    31. Zhu, Lei & Fan, Ying, 2010. "Optimization of China's generating portfolio and policy implications based on portfolio theory," Energy, Elsevier, vol. 35(3), pages 1391-1402.
    32. Munksgaard, Jesper & Morthorst, Poul Erik, 2008. "Wind power in the Danish liberalised power market--Policy measures, price impact and investor incentives," Energy Policy, Elsevier, vol. 36(10), pages 3940-3947, October.
    33. Gross, Robert & Blyth, William & Heptonstall, Philip, 2010. "Risks, revenues and investment in electricity generation: Why policy needs to look beyond costs," Energy Economics, Elsevier, vol. 32(4), pages 796-804, July.
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