Wind resource assessment and energy yield prediction
Written by HR    Monday, 21 June 2010 09:42    PDF Print E-mail

Financial performance of a wind project is tremendously sensitive to wind resource. Therefore, accurate wind data analysis and prediction of annual energy production of a wind farm, performed by a credible, experienced organization, is a crucial element for modeling financial return of the project over its lifetime.

Azure can undertake wind resource assessments according to international standards and issue bankable energy yield reports. Such a study typically comprises the following steps:

  • Acquiring wind, topographical, layout and turbine data:
  • Site visit:
  • Short term wind data selection and processing
  • Long term wind data selection and processing
  • Long term correlation
  • Wind turbine layout design
  • Wind flow calculation to obtain raw annual energy production
  • Losses estimation
  • Uncertainty estimation
  • Annual energy production at P50, P75, P90 and other confidence levels
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Last Updated ( Tuesday, 22 June 2010 02:56 )