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Assessing the Seismic Wavefield of a Wind Turbine Using Polarization Analysis

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Abstract

Ambient seismic noise can often be seen as problematic, but with the right analysis can act as a tool to image the Earth. Wind turbines are known to generate low frequency vibrations, however, the wave types that are generated are currently unknown. Characterizing these vibrations will allow wind turbines to be used as a seismic source and be of value to geotechnical applications and seismic interferometry. This paper uses polarization analysis of the seismic wavefield around a small wind turbine to identify the type of wave being generated by the turbine and to clarify the source. The seismic data recorded 190m from the wind turbine are processed using a window length of 0.1 seconds and bandpass filtered on a selection of frequency ranges. Polarization analysis is performed for two different wind speed ranges, in order to show the variation of wave characteristics between operational and non-operational modes of the wind turbine. Polarized surface waves are identified as the predominant wave type at blade rotation harmonics, making this work particularly relevant to multichannel analysis of surface waves and seismic interferometry.

Citation

(2017). Assessing the Seismic Wavefield of a Wind Turbine Using Polarization Analysis. Wind Energy, 1841-1850. https://doi.org/10.1002/we.2124

Acceptance Date May 5, 2017
Publication Date May 31, 2017
Journal Wind Energy
Print ISSN 1095-4244
Publisher Wiley
Pages 1841-1850
DOI https://doi.org/10.1002/we.2124
Keywords small wind turbine, polarization, signal processing, seismic waves, engineering, environmental, singular value decomposition
Publisher URL http://dx.doi.org/10.1002/we.2124

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