Simultaneous identification of wind turbine vibrations by using seismic data, elastic modeling and laser Doppler vibrometry

Abstract

This work compares continuous seismic ground motion recordings over several months on top of the foundation and in the near field of a wind turbine (WT) at Pfinztal, Germany, with numerical tower vibration simulations and simultaneous optical measurements. We are able to distinguish between the excitation of eigenfrequencies of the tower‐nacelle system and the influence of the blade rotation on seismic data by analyzing different wind and turbine conditions. We can allocate most of the major spectral peaks to either different bending modes of the tower, flapwise, and edgewise bending modes of the blades or multiples of the blade‐passing frequency after comparing seismic recordings with tower simulation models. These simulations of dynamic properties of the tower are based on linear modal analysis performed with finite beam elements. To validate our interpretations of the comparison of seismic recordings and simulations, we use optical measurements of a laser Doppler vibrometer at the tower of the turbine at a height of about 20 m. The calculated power spectrum of the tower vibrations confirms our interpretation of the seismic peaks regarding the tower bending modes. This work gives a new understanding of the source mechanisms of WT‐induced ground motions and their influence on seismic data by using an interdisciplinary approach. Thus, our results may be used for structural health purposes as well as the development of structural damping methods, which can also reduce ground motion emissions from WTs. Furthermore, it demonstrates how numerical simulations of wind turbines can be validated by using seismic recordings and laser Doppler vibrometry.

Wind turbine induced seismic signals: the large‐scale SMARTIE1 experiment and a concept to define protection radii for recording stations

“…The observed WT-induced frequency peaks in this study agree with previously identified frequency peaks in the vicinity of nearby wind farms (e.g. Styles et al, 2005;Stammler and Ceranna, 2016;Flores Estrella et al, 2017;Zieger and Ritter, 2018;Neuffer et al, 2019) and specifically at Pfinztal (Zieger et al, 2020).…”

“…The WT is located at the Fraunhofer Institute for Chemical Technology in Pfinztal, Germany, about 8 km northeast of the city of Karlsruhe. A previous study demonstrated that ground motion emissions correlate with structural properties of the WT in Pfinztal (Zieger et al, 2020). We installed 20 MARK L-4C-3D geophones with an eigenfrequency of 1 Hz (Fig.…”

Non-Contact Wind Turbine Blade Crack Detection Using Laser Doppler Vibrometers

“…The results also show that crucial dynamic features of the system, such as eigenfrequencies and mode shapes, can be precisely derived from the analysis results. In another study, LDV measurements were carried out on wind turbines to distinguish different operating conditions, and a simulation was made to validate the results of this study [17]. Then, spectral peaks that correspond to the blade eigenfrequencies, bladepassing frequency, and tower bending modes were identified.…”

An Innovative Structural Damage Detection System for Preventive Maintenance of Wind Turbines

“…If the object is moving, this creates a wavelength and phase difference between the sent and the received laser beams. By using the Doppler principle, the velocity or displacement of the object can be calculated with very high accuracy (in mm range) from distances up to 300-400 m [9][10][11].…”