Preprints
https://doi.org/10.5194/wes-2025-259
https://doi.org/10.5194/wes-2025-259
11 Dec 2025
 | 11 Dec 2025
Status: this preprint is currently under review for the journal WES.

Fast response methods for aero-elastic floating wind turbine design

Bogdan Pamfil, Henrik Bredmose, Taeseong Kim, and Wei Yu

Abstract. Fast response calculations in the frequency domain are valuable during the initial design of floating wind turbines, where many design variants must be evaluated. A direct frequency-domain treatment of aeroelastic rotor loads is typically infeasible due to the azimuthal time dependence of the system matrices. To overcome this limitation, we introduce a perturbation-based formulation inspired by Hill’s method, which reformulates the response equations into separate orders involving constant system matrices derived via Fourier decomposition. This enables accurate and efficient response computation using the Fast Fourier Transform (FFT). For comparison, a Laplace-based perturbation method is also developed using the Laplace transform instead of the Fourier transform. To evaluate the novel fast response methods, we develop an azimuthally periodic and fully linearized model of a floating wind turbine. The response to various load cases is computed under different inflow and floater motion conditions. The proposed Fourier-based fast response method achieves high accuracy, with peak and standard deviation errors of 2 % and 3.5 %, respectively, while reducing computation time to 2.5 s for a 4096 s simulation—significantly faster than linear (45 s) and time-domain (90 s) models. The single perturbation method offers an effective trade-off between accuracy and speed, making it suitable for design and optimization studies.

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Bogdan Pamfil, Henrik Bredmose, Taeseong Kim, and Wei Yu

Status: open (until 08 Jan 2026)

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Bogdan Pamfil, Henrik Bredmose, Taeseong Kim, and Wei Yu
Bogdan Pamfil, Henrik Bredmose, Taeseong Kim, and Wei Yu
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Latest update: 11 Dec 2025
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Short summary
We introduce fast response methods to predict how floating wind turbines behave in early design stages. By transforming the equations of motion into a form that’s easier to compute, our approach avoids longer simulations while preserving accuracy.  We developed both single and double perturbation methods, which run far faster than standard models with errors under 3.5 %. The single perturbation method at second order offers the strongest balance of speed and accuracy. 
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