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Wind resource assessment and energy yield prediction |
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Written by HR
Monday, 21 June 2010 09:42 |
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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 )
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