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Risk adjusted financial costs of photovoltaics

  • Szabó, Sándor
  • Jäger-Waldau, Arnulf
  • Szabó, László
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    Recent research shows significant differences in the levelised photovoltaics (PV) electricity cost calculations. The present paper points out that no unique or absolute cost figure can be justified, the correct solution is to use a range of cost figures that is determined in a dynamic power portfolio interaction within the financial scheme, support mechanism and industry cost reduction. The paper draws attention to the increasing role of financial investors in the PV segment of the renewable energy market and the importance they attribute to the risks of all options in the power generation portfolio. Based on these trends, a former version of a financing model is adapted to project the energy mix changes in the EU electricity market due to investors behaviour with different risk tolerance/aversion. The dynamic process of translating these risks into the return expectation in the financial appraisal and investment decision making is also introduced. By doing so, the paper sets up a potential electricity market trend with the associated risk perception and classification. The necessary risk mitigation tasks for all stakeholders in the PV market are summarised which aims to avoid the burden of excessive risk premiums in this market segment.

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    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 38 (2010)
    Issue (Month): 7 (July)
    Pages: 3807-3819

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    Handle: RePEc:eee:enepol:v:38:y:2010:i:7:p:3807-3819
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    1. 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.
    2. Awerbuch, Shimon, 2000. "Investing in photovoltaics: risk, accounting and the value of new technology," Energy Policy, Elsevier, vol. 28(14), pages 1023-1035, November.
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    4. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    5. Venetsanos, Konstantinos & Angelopoulou, Penelope & Tsoutsos, Theocharis, 2002. "Renewable energy sources project appraisal under uncertainty: the case of wind energy exploitation within a changing energy market environment," Energy Policy, Elsevier, vol. 30(4), pages 293-307, March.
    6. Ibenholt, Karin, 2002. "Explaining learning curves for wind power," Energy Policy, Elsevier, vol. 30(13), pages 1181-1189, October.
    7. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    8. Szabó, Sándor & Jäger-Waldau, Arnulf, 2008. "More competition: Threat or chance for financing renewable electricity?," Energy Policy, Elsevier, vol. 36(4), pages 1436-1447, April.
    9. Hal Varian, 1993. "A Portfolio of Nobel Laureates: Markowitz, Miller and Sharpe," Journal of Economic Perspectives, American Economic Association, vol. 7(1), pages 159-169, Winter.
    10. Gritsevskyi, Andrii & Nakicenovi, Nebojsa, 2000. "Modeling uncertainty of induced technological change," Energy Policy, Elsevier, vol. 28(13), pages 907-921, November.
    11. Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
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