Abstract
Uncertainties associated with aerodynamic properties of wind turbine blades, such as the lift coefficient and its first derivative with respect to the angle of attack, measured in the wind tunnel, are not negligible. Uncertainties are due to random experimental laboratory errors. Uncertainties are examined by high frequency force balance tests in Northeastern University's wind tunnel. Experiments are conducted on various scale models of airfoil sections, derived from a benchmark wind turbine blade. Effects of angle of attack, Reynolds number and incoming turbulent flow conditions are considered. First, basic statistical descriptors and statistical inference are utilized to characterize experimental errors in lift coefficients and their first derivative. Second, two methods, based on polynomial representation and linear interpolation of empirical histograms, are investigated to synthetically generate random samples of the lift coefficient derivative. Suitability is verified by hypothesis testing. Finally, samples are employed for Monte-Carlo-based stochastic flutter analysis of a full-scale blade.
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