Search arXivSearch

arXiv · 2503.21903

Impact of freestream turbulence and thrust coefficient on wind turbine-generated wakes

Abstract

This study investigates how variations in freestream turbulence (FST) and the thrust coefficient ($C_T$) influence wind turbine wakes. Wakes generated at $C_T \in \{0.5, 0.7,0.9\}$ are exposed to turbulent inflows with varying FST intensity ($1\% \lesssim TI_{\infty} \lesssim 11\%$) and integral length scale ($0.1 \lesssim \mathcal{L}_x/D \lesssim 2$, $D$ is the rotor diameter). For high-$TI_{\infty}$ inflows, a flow region within the wake is observed several diameters downstream, where a mean momentum deficit persists despite the turbulence intensity having already homogenised with the freestream, challenging traditional wake definitions. A ``turning point'' in the mean wake width evolution is identified, beyond which wakes spread at slower rates. Near-field ($x/D \lesssim 7$) wake growth rate increases with higher $TI_{\infty}$ and $C_T$, while far-field ($x/D \gtrsim 15$) wake growth rate decreases with higher $TI_{\infty}$ -- a finding with profound implications for wind turbine wake modelling that also bridges the gap with entrainment behaviours observed in bluff and porous body wakes exposed to FST. Increasing $\mathcal{L}_x$ delays wake recovery onset and reduces the mean wake width, with minimal effect on the spreading rate. Both $C_T$ and FST influence high- and low-frequency wake dynamics, with varying contributions in the near and far fields. For low-$TI_{\infty}$ and small-$\mathcal{L}_x$ inflows, wake meandering is minimal, sensitive to $C_T$, and appears to be triggered by shear layer instabilities. Wake meandering is enhanced for high-$TI_{\infty}$ and large-$\mathcal{L}_x$ inflows and is dominated by background turbulence. This emphasises the complex role of FST integral length scale: while increasing $\mathcal{L}_x$ amplifies meandering, it does not necessarily translate to larger mean wake width due to the concurrent suppression of entrainment rate.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Martin Bourhis, Thomas Messmer, Michael Hölling, Oliver R. H. Buxton. 2025-03-27. Impact of freestream turbulence and thrust coefficient on wind turbine-generated wakes. https://arxiv.org/abs/2503.21903

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Cross-helicity and chaotic dynamics of full-disc solar magnetic field

Using the results of laboratory experiments and direct numerical simulations, as well as observations of the full-disc solar magnetic field and sunspot number dynamics, it is demonstrated that cross-helicity can dominate the decaying part of the frequency power spectra of the magnetic field generated by a magnetohydrodynamic (MHD) dynamo in chaotic/turbulent swirling flows for sufficiently strong MHD turbulence (including the solar dynamo). The theoretical consideration is based on a Kolmogorov-like phenomenology within the framework of the distributed chaos concept. It is also shown that the solar full-disc magnetic field for the last two solar cycles with weak magnetic activity exhibits deterministic chaotic behavior concentrated around the equator.

physics.flu-dyn

Manifestation of spurious currents and interface regularization in wind turbulence over fast-propagating waves

Accurate simulation of wind turbulence over fast-propagating waves requires interface-capturing methods that suppress numerical artifacts while accurately resolving momentum transfer across the interface. In high wave-age regimes, numerical errors at the air-water interface can reach magnitudes comparable to the physical flow, directly affecting predicted turbulence statistics. This study examines widely used interface-capturing techniques to evaluate how curvature estimation and flux discretization influence wind-wave simulations through the resulting spurious currents and interface regularization. A systematic assessment is performed using static and translating droplet benchmarks, together with solitary and monochromatic wave cases, to identify and quantify the dominant numerical error mechanisms. In addition, comparison with experimental measurements reveals how these primary error sources manifest in coupled wind-wave simulations. These findings clarify the numerical origin of the observed discrepancies and underscore the importance of accurate curvature and flux treatment in high wave-age regimes, without which numerical artifacts risk being misattributed to genuine wind-wave physics.

physics.flu-dyn

A reconfigurable multi-axis cyber-physical framework for multi-regime fluid--structure interaction experiments

Fluid--structure interaction (FSI) experiments are typically built around mechanical dynamics and constraints imposed by the physical apparatus, so changing mass, stiffness, damping, or allowable motion often requires hardware reconfiguration. Here we present a reconfigurable cyber-physical framework in which these properties are instead assigned through software-defined dynamics. The system provides three translational and one rotational degree of freedom, each independently configurable as prescribed, load-responsive, or locked, with operating roles that can also be reassigned during a running experiment. Measured forces and torques are incorporated into real-time virtual dynamic models, while a common supervisory architecture coordinates multi-axis motion, mode switching, synchronized data acquisition, and diagnostic positioning. The prescribed-motion pathway is validated using a pitching hydrofoil by comparison with published thrust and power scaling trends, while the load-responsive pathway is evaluated using an active-heave/passive-pitch benchmark that reproduces the expected frequency-dependent resonant response over the tested conditions. The same platform is then reconfigured for intra-cycle active--passive pitching, coordinated vertical-axis turbine-surrogate motion, force-driven passive surge, and automated multilayer stereoscopic particle image velocimetry. These results demonstrate that distinct FSI boundary conditions and measurement requirements can be implemented within a common motion, sensing, and control architecture. By treating mechanical roles and constraints as software-defined experimental variables, the framework provides a reusable basis for reconfigurable FSI experiments without redesigning the underlying platform for each application.

physics.flu-dyn