the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Breakdown of the velocity and turbulence in the wake of a wind turbine – Part 2: Analytical modeling
Frédéric Blondel
Valéry Masson
Abstract. This work aims at developing an analytical model for the velocity and turbulence in the wake of a wind turbine that takes meandering into account and where the expansion and the meandering of the wake can be independently calibrated. The velocity and turbulence breakdown presented in the companion paper allows a better interpretation of the physical phenomena at stake and facilitates the modelling, in particular when it comes to wakes in non-neutral atmosphere. A model for the dominating terms of these breakdowns is here proposed, using only five input parameters: the widths (in vertical and horizontal directions) of the non-meandering wake, the standard deviation of wake meandering (in both directions) and a mixing length. This model can be used either in the FFOR for a static approach or in the MFOR combined with the dynamic wake meandering model for an unsteady approach. The resulting shapes are tested on a neutral and an unstable LES dataset that was computed with Meso-NH. The model shows good results for the axial velocity in both directions. For the axial turbulence, the horizontal profiles are satisfying but further research is needed on the treatment of shear and the parametrisation of the missing terms to better reproduce the vertical asymmetry.
Erwan Jézéquel et al.
Status: final response (author comments only)
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RC1: 'Comment on wes-2022-47', Anonymous Referee #1, 24 Jun 2022
The authors developed an analytical model for the velocity and turbulence in the wake of a wind turbine taking meandering into account. The overall topic is an important one, as there is a need for improving engineering models. However, some of the assumptions made in the derivation of the model seem to be poor choices, for example, using the Gaussian shape hypothesis of the velocity deficit in the near wake and the Gaussian distribution of the wake center in the far wake. Thus, excluding the veer impact is a big question even for the unstable case. The authors keep giving pieces of advice on how to develop the current model in many places, which provides a negative impression of the current work. Although the results are encouraging, and my overall impression of this manuscript is positive, the authors should do some revisions to re-evaluate their work objectively.
- The authors need to show a comparison between the new model with known models to evaluate the work.
- The authors assumed that “It appears that the results are much better in the neutral case (in green) than in the unstable case (in red). This is likely due to the higher meandering in the unstable case, which would require a higher number of data to reach a converged PDF.” How can one trust the result if we do not have converged statistics, especially for turbulence?
- The authors need to justify that the impact of the veers is negligible in the unstable case.
- The authors need to check if possible the impact of the turbulent intensity on the model, since the structure of the turbulence depends on that.
Citation: https://doi.org/10.5194/wes-2022-47-RC1 -
AC1: 'Comment on wes-2022-47', Erwan Jézéquel, 19 Aug 2022
Dear reviewers,
Thank you for your useful comments. Please find our answers in the attached pdf file.
Best regards,
Erwan Jézéquel
Citation: https://doi.org/10.5194/wes-2022-47-AC1
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RC2: 'Comment on wes-2022-47', Anonymous Referee #2, 28 Jun 2022
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AC1: 'Comment on wes-2022-47', Erwan Jézéquel, 19 Aug 2022
Dear reviewers,
Thank you for your useful comments. Please find our answers in the attached pdf file.
Best regards,
Erwan Jézéquel
Citation: https://doi.org/10.5194/wes-2022-47-AC1
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AC1: 'Comment on wes-2022-47', Erwan Jézéquel, 19 Aug 2022
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AC1: 'Comment on wes-2022-47', Erwan Jézéquel, 19 Aug 2022
Dear reviewers,
Thank you for your useful comments. Please find our answers in the attached pdf file.
Best regards,
Erwan Jézéquel
Citation: https://doi.org/10.5194/wes-2022-47-AC1
Erwan Jézéquel et al.
Data sets
Figures data from papers "Breakdown of the velocity and turbulence in the wake of a wind turbine", parts 1 and 2 Erwan Jézéquel https://doi.org/10.5281/zenodo.6562720
Model code and software
Implementation of the analytical model deduced from the velocity and turbulence breakdown Erwan Jézéquel, Frederic Blondel https://doi.org/10.5281/zenodo.6560685
Erwan Jézéquel et al.
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