• DocumentCode
    1718354
  • Title

    Hydrological risk integration in a hydro power plant real options analysis

  • Author

    Pereira, Elisabete ; Nunes, Ana Cristina ; Sousa, Jose Carlos ; Mendes, Virgilio

  • Author_Institution
    EDP Producao, Porto, Portugal
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Traditional valuation methods such as net present value, internal rate of return or payback period perform investment assessment based on the average generation of a hydro plant, ignoring investment irreversibility, uncertainty and management flexibility. Among all the sources of volatility, this study presents the impact on a hydro power plant investment of two different hydrological patterns based on the historical inflows of Douro and Guadiana rivers. For a hydro power plant without a reservoir and pumping facilities, inflows are critical for both generation and for revenues creation. This work aims to apply the Real Options Approach (ROA) based on the binomial tree method developed by Cox, Ross and Rubinstein [1] on the economic evaluation of a hydro power plant investment that the investor can defer for a limited period, taking into account the hydrological risk impact.
  • Keywords
    hydroelectric power stations; investment; power generation economics; risk management; rivers; trees (mathematics); Douro river; Guadiana river; ROA; binomial tree method; hydrological patterns; hydrological risk impact; hydrological risk integration; hydropower plant investment; hydropower plant real options analysis; investment assessment; net present value; real options approach; valuation methods; Cost accounting; Investment; Power generation; Profitability; Rivers; Uncertainty; Hydrological risk; Investment Analysis; Real Options Approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2015 12th International Conference on the
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/EEM.2015.7216633
  • Filename
    7216633