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Optimal investment portfolio in renewable energy: The Spanish case

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  • Muñoz, José Ignacio
  • Sánchez de la Nieta, Agustín A.
  • Contreras, Javier
  • Bernal-Agustín, José L.

Abstract

This article presents a model for investing in renewable energies in the framework of the Spanish electricity market in a way that risk is minimised for the investor while returns are maximised. The model outlined here is based on an economic model for calculating cash flows intended to obtain the internal rate of return (IRR) of the different energies being studied: wind, photovoltaic, mini hydro and thermo electrical. The IRRs obtained are considered the returns on investments, while their standard deviations are considered associated risks. In order to minimise risk, a comprehensive portfolio of investments is created that includes all of the available energies by means of a system of linear equations. The solution of the linear system is graphically checked using the efficient frontier method for the different financing options. Several case studies within the Renewable Energies Plan (PER is its Spanish abbreviation) that is in force in Spain in the period 2005-2010 are analysed in order to illustrate the method, as are other case studies using different types of financing, helping us to reach the pertinent conclusions.

Suggested Citation

  • Muñoz, José Ignacio & Sánchez de la Nieta, Agustín A. & Contreras, Javier & Bernal-Agustín, José L., 2009. "Optimal investment portfolio in renewable energy: The Spanish case," Energy Policy, Elsevier, vol. 37(12), pages 5273-5284, December.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:12:p:5273-5284
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    References listed on IDEAS

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    1. Roques, F.A. & Nuttall, W.J. & Newbery, D.M., 2006. "Using Probabilistic Analysis to Value Power Generation Investments Under Uncertainty," Cambridge Working Papers in Economics 0650, Faculty of Economics, University of Cambridge.
    2. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    3. Kobos, Peter H. & Erickson, Jon D. & Drennen, Thomas E., 2006. "Technological learning and renewable energy costs: implications for US renewable energy policy," Energy Policy, Elsevier, vol. 34(13), pages 1645-1658, September.
    4. Andris Piebalgs, 2006. "Green paper: A European strategy for sustainable, competitive and secure energy," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 7(02), pages 8-20, July.
    5. Huang, Yun-Hsun & Wu, Jung-Hua, 2008. "A portfolio risk analysis on electricity supply planning," Energy Policy, Elsevier, vol. 36(2), pages 627-641, February.
    6. Green, Richard, 2002. "Retail Competition and Electricity Contracts," Royal Economic Society Annual Conference 2002 93, Royal Economic Society.
    7. Yu, Zuwei, 2003. "A spatial mean-variance MIP model for energy market risk analysis," Energy Economics, Elsevier, vol. 25(3), pages 255-268, May.
    8. Neuhoff, Karsten & De Vries, Laurens, 2004. "Insufficient incentives for investment in electricity generations," Utilities Policy, Elsevier, vol. 12(4), pages 253-267, December.
    9. Shimon Awerbuch, 2006. "Portfolio-Based Electricity Generation Planning: Policy Implications For Renewables And Energy Security," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(3), pages 693-710, May.
    10. Karsten Neuhoff & Laurens De Vries, 2004. "Insufficient Incentives for Investment," Working Papers EP42, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    11. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    12. Paul R. Kleindorfer & Lide Li, 2005. "Multi-Period VaR-Constrained Portfolio Optimization with Applications to the Electric Power Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-26.
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