Inflow conditions resulting in atypical wind turbine fatigue loading

Inflow conditions resulting in atypical wind turbine fatigue loading

Harmsen, Stefan (TU Delft Aerospace Engineering; TU Delft Wind Energy)

Watson, Simon (mentor)
Engels, Wouter (mentor)

Delft University of Technology

Aerospace Engineering

2019-01-04

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.

inflow wind field
fatigue
Wind Turbine
Clustering
stepwise regression
variable selection

http://resolver.tudelft.nl/uuid:3a2cbd5e-9a3d-4c75-9fe0-4dc27a7837ea

TNO report: TNO 2018 S11661

Student theses

master thesis

© 2019 Stefan Harmsen