Preprints
https://doi.org/10.5194/wes-2025-260
https://doi.org/10.5194/wes-2025-260
27 Nov 2025
 | 27 Nov 2025
Status: this preprint is currently under review for the journal WES.

The effect of tip-speed ratio and free-stream turbulence on the coupled wind turbine blade/wake dynamics

Francisco J. G. de Oliveira, Martin Bourhis, Zahra Sharif Khodaei, and Oliver R. H. Buxton

Abstract. Wind turbines operating within wind farms experience complex aerodynamic loading arising from the interplay between wake-induced velocity deficits, enhanced turbulence, and varying operational conditions. Understanding the relationship between the blade's structural response to the different operating regimes and flow structures generated in the turbine's wake is critical for predicting fatigue damage and optimizing turbine performance. In this work, we implement a novel technique, allowing us to simultaneously measure spatially distributed blade strain and wake dynamics for a model wind turbine under controlled free-stream turbulence (FST) and tip-speed ratio (λ) conditions. A 1 m diameter three-bladed rotor was instrumented with distributed Rayleigh backscattering fibre-optic sensors, while synchronised hot-wire anemometry captured wake evolution up to 4 rotor diameters downstream. Experiments were conducted covering a wide {FST, λ} parameter space – 21 cases in total. Results reveal that aerodynamic-induced strain fluctuations peak at λ ≈ 3.5, close to the design tip -speed ratio (λ = 4), with the blade's tip experiencing a contribution from the aerodynamically-driven strain fluctuations of up to 75 % of the total fluctuating strain at design conditions. Spectral analysis shows frequency-selective coupling between wake flow structures and the blade response, dominated by flow structures dynamically related to the rotor's rotating frequency (eg. tip vortex structure). The novel experimental methodology and results establish a data-driven foundation for future aeroelastic models' validation, and fatigue-informed control strategies.

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Francisco J. G. de Oliveira, Martin Bourhis, Zahra Sharif Khodaei, and Oliver R. H. Buxton

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Francisco J. G. de Oliveira, Martin Bourhis, Zahra Sharif Khodaei, and Oliver R. H. Buxton
Francisco J. G. de Oliveira, Martin Bourhis, Zahra Sharif Khodaei, and Oliver R. H. Buxton

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Short summary
In this work, we explore how inflow turbulence and operating conditions of a wind turbine model the interaction between the turbine's blade, and it's wake. By measuring blade's strain and wake dynamics concurrently, we show that the induced fluctuating aerodynamic loads peak near design operating conditions. The technique we have developed can potentially be implemented in large-scale turbine's, for live load monitoring.
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