• DocumentCode
    713439
  • Title

    Investment risk analysis for eolic power plants in the free contracting environment

  • Author

    Neto, Daywes P. ; Domingues, Elder G. ; Calixto, Wesley P. ; Alves, Aylton J. ; Lima, Rodrigo A.

  • Author_Institution
    Fed. Inst. of Goias, Goiânia, Brazil
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    2783
  • Lastpage
    2788
  • Abstract
    This research work presents a methodology for investment risk analysis for eolic power plants. A stochastic modelling was developed for the variables Wind Speed and Price Settlement of Differences (PSD), with the aim of analyzing cash flow during a power plant´s lifespan. Simulated scenarios have been created with the Monte Carlo Method to analyze the random variables involved in the process. The investment analysis is based on the assessment of the probability distribution of the Net Present Value (NPV) and of the Modified Internal Rate of Return (MIRR) for the power plant´s cash flow, as well as the Value at Risk (VaR) and the Conditional Value at Risk (CVaR). This research work presents a case study to verify the applicability of this methodology.
  • Keywords
    Monte Carlo methods; investment; power plants; pricing; risk analysis; CVaR; MIRR; Monte Carlo method; NPV; PSD; cash flow; conditional value at risk; eolic power plants; free contracting environment; investment risk analysis; modified internal rate of return; net present value; power plant lifespan; price settlement of differences; probability distribution; random variables; stochastic modelling; wind speed; Contracts; Investment; Power generation; Reactive power; Stochastic processes; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125508
  • Filename
    7125508