• DocumentCode
    729853
  • Title

    Wind turbine optimal site matching based on capacity and availability factors

  • Author

    Ghajar, R. ; Chedid, R. ; Badawieh, M.

  • Author_Institution
    Lebanese American Univ., Byblos, Lebanon
  • fYear
    2015
  • fDate
    16-18 June 2015
  • Firstpage
    253
  • Lastpage
    257
  • Abstract
    This paper introduces a simple method to enable the selection of the most appropriate wind turbine for given sites in which the values of the Weibull shape parameter k and scale parameter c are known. T he matching between site and turbine characteristics can be optimized by defining two important parameters: The capacity factor Cf, and the availability factor Af. Published wind data of 10 sites are used to perform site matching with a variety of commercially available wind turbine generators by evaluating the capacity factor, availability factor and annual energy output. T his study argues that the incorporation of the availability factor in the turbine-site matching process will have an added value in terms of lowering the overall electric energy production cost of the system due to the fact that although the energy required by system peaking units will remain the same, the number of start-ups and shutdown may be reduced.
  • Keywords
    Weibull distribution; power generation economics; turbogenerators; wind turbines; Weibull scale parameter; Weibull shape parameter; availability factor; capacity factor; electric energy production cost; wind turbine generator; wind turbine optimal site matching; Decision support systems; Hafnium; Indexes; Renewable energy sources; Wind turbines; Availability Factor; Capacity Factor; Optimal Matching; Wind Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Electrical Power (ICCEP), 2015 International Conference on
  • Conference_Location
    Taormina
  • Type

    conf

  • DOI
    10.1109/ICCEP.2015.7177632
  • Filename
    7177632