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

The Science of Making Torque from Wind 2014

Vey, S.^1 ; Lang, H.M.^1 ; Nayeri, C.N.^1 ; Paschereit, C.O.^1 ; Pechlivanoglou, G.^2

Institut für Strömungsmechanik und Technische Akustik, TU Berlin, Germany^1

SMART BLADE GmbH, Berlin, Germany^2

关键词: Flow state;    Histogram filter;    Instantaneous flow;    Measurement techniques;    Quantitative data;    Separated flows;    Snapshot images;    Utility-scale wind turbines;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/524/1/012011/pdf
DOI  :  10.1088/1742-6596/524/1/012011

来源: IOP

【 摘 要 】

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.