Preprints
https://doi.org/10.5194/wes-2023-168
https://doi.org/10.5194/wes-2023-168
14 Dec 2023
 | 14 Dec 2023
Status: a revised version of this preprint is currently under review for the journal WES.

Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions

Kristian Ladefoged Ebbehøj, Philippe Jacques Couturier, Lars Morten Sørensen, and Jon Juel Thomsen

Abstract. Modal properties and especially damping of operational wind turbines can vary over short time periods as a consequence of environmental and operational variability. This study seeks to experimentally test and validate a recently proposed method for short-term damping and natural frequency estimation of structures under influence of varying environmental and operational conditions from measured vibration responses. The method is based on Gaussian Process Time-dependent Auto-Regressive Moving average (GP-TARMA) modelling, and is tested via two applications: a laboratory three-storey shear frame structure with controllable, time-varying damping, and a flutter test of a full-scale 7 MW wind turbine prototype, in which two edgewise modes become unstable. Damping estimates for the shear frame compare well with estimates obtained with Stochastic Subspace Identification (SSI) and standard impact hammer tests. The efficacy of the GP-TARMA approach for short-term damping estimation is illustrated through comparison to short-term SSI estimates. For the full-scale flutter test GP-TARMA model residuals imply that the model cannot be expected to be entirely accurate, but the damping estimates are physically meaningful, and compare well with a previous study. The study shows that the GP-TARMA approach is an effective method for short-term damping estimation from vibration response measurements, provided enough training data and a representative model structure.

Kristian Ladefoged Ebbehøj, Philippe Jacques Couturier, Lars Morten Sørensen, and Jon Juel Thomsen

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-168', Anonymous Referee #1, 04 Jan 2024
  • RC2: 'Comment on wes-2023-168', Anonymous Referee #2, 09 Jan 2024
  • AC1: 'Author comments to RC1 and RC2', Kristian Ebbehøj, 12 Feb 2024
Kristian Ladefoged Ebbehøj, Philippe Jacques Couturier, Lars Morten Sørensen, and Jon Juel Thomsen
Kristian Ladefoged Ebbehøj, Philippe Jacques Couturier, Lars Morten Sørensen, and Jon Juel Thomsen

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Short summary
This paper experimentally validates a novel method for characterizing wind turbine dynamics based on vibration measurements. The dynamics of wind turbines can change over short time periods if the operational conditions changes. In such cases, conventional methods are inadequate. The validation is performed with a controlled laboratory experiment and a full-scale wind turbine test. More accurate characterization could lead to more efficient wind turbine designs, and in turn cheaper wind energy.
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