Inflow conditions resulting in atypical wind turbine fatigue loading

Master Thesis (2019)
Author(s)

S.F.M. Harmsen (TU Delft - Aerospace Engineering)

Contributor(s)

Simon Watson – Mentor

Wouter Engels – Mentor

Faculty
Aerospace Engineering
Copyright
© 2019 Stefan Harmsen
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Stefan Harmsen
Graduation Date
04-01-2019
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Sponsors
TNO - Energy Transition
Faculty
Aerospace Engineering
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Abstract

This master’s thesis project related inflow conditions to atypical fatigue loading of wind turbines. The research was fully based on experimental data obtained in another project. First an expected fatigue loading was defined based on the mean wind speed and the turbulence intensity. Differences between expected and measured fatigue loading were determined and analyzed using regression and clustering. The most important results regard the out-of-plane bending moment measured at the blade root and the side-to-side bending moment measured at the tower bottom. In addition to the mean wind speed and the turbulence intensity, the out-of-plane bending moment is found to correlate with wind shear. The side-to-side bending moment, on the other hand, correlates with wind veer and with different wind directions. In this case, the clustering result performs better in estimating the difference between expected and measured fatigue loading than the linear regression model.

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