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Real Options Valuation of Wind Energy Based on the Empirical Production Uncertainty

Author

Listed:
  • Didier Nibbering
  • Coos van Buuren
  • Wei Wei

Abstract

Using a real options approach, we analyze the valuation of wind energy projects and associated investment decisions while accounting for both price and production uncertainty. We propose a new approach to explicitly incorporate production uncertainty into the valuation. Specifically, we account for the production risk using a stochastic process for wind speed, a cubic spline model for the conversion of wind speed to wind electricity, and a Bayesian procedure for estimating and forecasting the wind electricity processes. In a case-study on a comprehensive dataset of a Dutch offshore wind farm, we evaluate the financial consequences of ignoring production risk for different levelized costs of energy values. We find that fixing the production at a capacity factor value leads to substantial underestimation of the real options value, and relying on theoretical instead of empirical power curves leads to overestimation.

Suggested Citation

  • Didier Nibbering & Coos van Buuren & Wei Wei, 2021. "Real Options Valuation of Wind Energy Based on the Empirical Production Uncertainty," Monash Econometrics and Business Statistics Working Papers 19/21, Monash University, Department of Econometrics and Business Statistics.
  • Handle: RePEc:msh:ebswps:2021-19
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    File URL: https://www.monash.edu/business/ebs/research/publications/ebs/wp19-2021.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    OR in energy; wind electricity; production uncertainty; real options; hierarchical Bayesian model;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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