• DocumentCode
    3584513
  • Title

    Development of Eolic generation under economical uncertainty

  • Author

    Ramos-Robles, Carlos A. ; Irizarry-Rivera, A.

  • Author_Institution
    Dept. of Electr. Eng., Puerto Rico Univ., Mayaguez, Puerto Rico
  • fYear
    2004
  • Firstpage
    711
  • Lastpage
    716
  • Abstract
    Development of a wind farm in the east coast of Puerto Rico has the potential of being an attractive economic proposal. This is so because the best wind resource of Puerto Rico is located on its east shore. Reliable wind data is available for several sites in the east coast, but important information to evaluate the economic feasibility of the wind farm can only be estimated or is unavailable. For example, land values, an unclear permitting process, lack of a legal framework, and no precedent in the Island of a purchase power agreement for a wind generation project makes any economic evaluation an uncertain one. In this case study we use Present Worth (PW) economic analysis estimating the values of uncertain parameters and perform sensitivity analysis for such parameters. Also, we perform Monte Carlo simulation to do financial risk assessment. The results show under what conditions is viable to develop a wind farm in the east coast of Puerto Rico.
  • Keywords
    Monte Carlo methods; parameter estimation; power generation economics; risk management; sensitivity analysis; wind power plants; Eolic generation; Monte Carlo simulation; Puerto Rico; economic feasibility; economical uncertainty; financial risk assessment; present worth economic analysis; reliable wind data; sensitivity analysis; uncertain parameter estimation; wind farm; wind generation project; Law; Legal factors; Performance analysis; Power generation; Power generation economics; Proposals; Uncertainty; Wind energy generation; Wind farms; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378774