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Extracting quantitative data from tuft flow visualizations on utility scale wind turbines

Vey, S.; Lang, H. M.; Nayeri, C. N.; Paschereit, Christoph Oliver; Pechlivanoglou, G.

First results of a novel measurement technique that allows to extract quantitative data from tuft flow visualizations on real-world wind turbine blades are presented. The instantaneous flow structure is analyzed by tracking individual flow indicators in each of the snapshot images. The obtained per-tuft statistics are correlated with logged turbine data to provide an insight into the surface flow structure under the influence of wind speed. A histogram filter is used to identify two flow states: a separated flow state that occurs at higher wind speeds and a maximal attached flow state that mainly occurs in the lower wind speed range.
Published in: Journal of Physics: Conference Series, 10.1088/1742-6596/524/1/012011, IOP