the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
How accurately do engineering methods capture floating wind turbine performance and wake? A multi-fidelity perspective
Abstract. Despite an increasing number of experimental and numerical studies, the influence of platform motion on wake dynamics (wake recovery and turbulence production) in floating offshore wind turbines is still an open research question. In particular, efforts are being made to understand the accuracy of numerical models in use so far for fixed-bottom turbines when they are applied to floating configurations. Similarly to what has been done in IEA's OC6 task, in this work a multi-fidelity approach is leveraged to investigate the capabilities of engineering models to capture the wake dynamics of a wind turbine model under imposed motion. Differently from previous studies, however, many more different operating conditions have investigated, including surge, pitch, yaw and wind-wave misalignment cases; moreover, numerical methos are here consistently applied to the same test cases, which are part of the first experimental round of the NETTUNO project. More specifically, Free Vortex Wake (FVW), Actuator Line Model (ALM) and blade resolved CFD simulations have been benchmarked and their capabilities in predicting the mean wake response and the onset of velocity oscillations in the wake of a floating wind turbine were evaluated. Results showed that, up to 5D and in the operating conditions tested, platform motion has limited impact on the wake in terms of wake deficit. However, significant velocity oscillations are observed at a platform reduced frequency of 0.6 which could be detrimental for downstream machines. An investigation of the vortex structures in the wake showed that these velocity oscillations might be caused by the interaction of vortex structures generated under sinusoidal platform motion rather than by unsteady aerodynamic response of the rotor. FVW methods, if properly tuned, can correctly capture the wake response up to 3D from the rotor, but to simulate the wake response up to 5D, higher-fidelity methods are required. Significant improvements are achieved with ALM CFD simulations, even though an URANS approach might struggle to correctly predict the wake dissipation due to the interaction between the free-stream turbulence and wake.
Competing interests: At least one of the (co-)authors is a member of the editorial board of Wind Energy Science.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.- Preprint
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Status: open (until 12 Dec 2025)
- RC1: 'Comment on wes-2025-149', Anonymous Referee #1, 24 Sep 2025 reply
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RC2: 'Comment on wes-2025-149', Anonymous Referee #2, 27 Nov 2025
reply
In the manuscript, the authors conduct a systematic comparison of engineering-fidelity models for a scaled floating wind turbine subject to a variety of platform motions. Models of various fidelity are compared with higher-fidelity approaches (some LES) as well as experimental measurements. Considered platform motions principally include surge, pitch, and yaw with some misaligned conditions also considered. The comparisons are comprehensive and will be a valuable resource to the community in guiding the selection of appropriate approaches. The basic conclusion is that FVM and ALM are capable of correctly predicting loads and the steady and unsteady wake responses under surge and pitch conditions. For yaw and misalignment, ALM is superior to FVM.
Overall, the manuscript is comprehensive and few changes are required in my view for publication. A couple of minor comments:
1. Not all of the figures are referenced in the text, and some of the figure references are incorrect.
2. The results are presented in a mix of dimension and non-dimensional units. Considering the scale, presenting results in non-dimensional form will aid in generalizing to full-scale conditions.
Citation: https://doi.org/10.5194/wes-2025-149-RC2 -
RC3: 'Comment on wes-2025-149', Anonymous Referee #3, 28 Nov 2025
reply
The topic of floating WT's is an important topic, and the availability of experimental wind turbine data under simulated floating offshore platform movement is indispensable. The comparison with several numerical simulation methods gives a good impression how this experimental data can be used for code validation.
The article in its current form contains many textual errors (in text, captions, references).
The figures would benefit from using a uniform layout and color scheme.
This reviewer struggled to identify the goal of the article: was it to demonstrate the usefulness of the experimental data or was it to validate the several numerical implementations? (I guess it's the former) This uncertainty is also present in the title of the article that is formulated as a question, that can be answered with "It depends...".
The results of the simulations were from specific implementations of specific flow modelling choices, using specific runtime settings. The discussion of the results should make clearer that the conclusions are valid for these specific computer programs using specific settings and cannot be generalized to, for example, "the FVW and ALM methods ...".
In short: This is an important article that needs revisions before publication.
Citation: https://doi.org/10.5194/wes-2025-149-RC3
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The manuscript by Cioni et al. (10+ authors) presents a comparative study of numerical simulation methods for analyzing floating wind turbine wakes. Two established simulation approaches—Free Vortex Wake and ALM-URANS—are employed to generate wake data, which are then compared against experimental results up to 5 rotor diameters downstream of a model wind turbine with prescribed motion. The authors also utilize blade-resolved URANS and ALM-LES methods on two cases to provide additional insights. The comparison reveals varying levels of agreement and discrepancies between simulated and experimental wake characteristics.
Overall, this reviewer finds the manuscript valuable to the floating wind energy research community, and the experimental data presented is particularly interesting. However, the manuscript contains numerous errors, including typographical mistakes, incorrect citations, erroneous section numbers, and disordered figure arrangements. The overall quality falls short of standard expectations for a submitted manuscript and appears more akin to a first draft. Nevertheless, these issues can be addressed through careful revision.
Given the number of errors identified, I hope the editor allows me to provided direct annotations on the PDF file of the preprint, with 70+ comments in total. I request that the authors carefully consider each annotation, provide point-by-point responses, and resubmit the manuscript for a second round of review.