Predicting extreme loads effects on wind turbines considering uncertainty in airfoil data

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Abstract

The sources contributing to uncertainty in a wind turbine blade static airfoil data include wind tunnel testing, CFD calculations, 3D rotational corrections based on CFD or empirical models, surface roughness corrections, Reynolds number corrections, expansion to the full 360-degree angle of attack range, validation by full scale measurements, and geometric distortions of the blade during manufacturing and under loading. In this paper a stochastic model of the static airfoil data is proposed to supplement the prediction of extreme loads effects for large wind turbines. It is shown that the uncertainty in airfoil data can have a significant impact on the prediction of extreme loads effects depending on the component, and the correlation along the span of the blade.
Original languageEnglish
Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of 11th International Conference on Structural Safety and Reliability
Number of pages8
PublisherTaylor & Francis
Publication date2013
Pages215-222
Publication statusPublished - 2013
Event11th international conference on Structural Safety & Reliability Conference - New York, United States
Duration: 16 Jun 201320 Jun 2013
Conference number: 11
http://icossar2013.org/

Conference

Conference11th international conference on Structural Safety & Reliability Conference
Number11
CountryUnited States
CityNew York
Period16/06/201320/06/2013
Internet address

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