Articles | Volume 9, issue 1
https://doi.org/10.5194/wes-9-235-2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
Developing a digital twin framework for wind tunnel testing: validation of turbulent inflow and airfoil load applications
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- Final revised paper (published on 24 Jan 2024)
- Preprint (discussion started on 11 Jul 2023)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on wes-2023-70', Anonymous Referee #1, 02 Aug 2023
- AC1: 'Reply on RC1', Rishabh Mishra, 30 Oct 2023
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RC2: 'Comment on wes-2023-70', Anonymous Referee #2, 06 Oct 2023
- AC2: 'Reply on RC2', Rishabh Mishra, 30 Oct 2023
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Rishabh Mishra on behalf of the Authors (30 Oct 2023)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (14 Nov 2023) by Horia Hangan
ED: Publish as is (05 Dec 2023) by Jakob Mann (Chief editor)
AR by Rishabh Mishra on behalf of the Authors (07 Dec 2023)
Manuscript
The manuscript discusses the use of a digital twin to perform wind turbine and airfoil tests in wind tunnels with turbulent inflows. Hot-wire anemometry is first used to characterize grid-generated turbulence in the wind tunnel. Pressure and force sensors are then applied to record the pressure, drag and lift coefficients of an airfoil under different angles of attack at a chord-based Reynolds number of 2.0x10^5. On the other hand, RANS simulations at the same Reynolds number are used to capture the kinetic energy decay of the grid-generated flows and the different coefficients within the airfoil. Good agreement is found between all quantities, provided that the Taylor microscale is used in the RANS simulations as the length scale required to simulate the grid-generated turbulent flow.
I find the thematic of this manuscript within the scope of the journal. Furthermore, it is well written and organized, with a theoretical discussion and numerical results that are of interest for the wind energy community. Nevertheless, before recommending publication the authors should assess the following points:
- Several arguments used to deduce equations 23 and 27 rely on the presence of a fully developed grid-generated turbulent flow, that is only found far downstream the grid. The range studied here (x<30M, with the airfoil placed at x~20M) may present some differences in terms of the approximations made in equations 10, 13 and 20. While the authors refer to a previous publication from the group, these points should be addressed in the present manuscript.
- Related to my previous point, several papers discuss the decay of kinetic energy in terms of invariants (Sinhuber et al, PRL 2015; Krogstad and Davidson JFM 2009), and also the role of the integral length scale on such models. Furthermore, the power laws predicted contain a virtual origin that is not present in the theoretical discussion of the present work. First, these approaches should be mentioned at the section ‘Brief theoretical description of decaying grid turbulence’. Second, they should be at least addressed when figure 4 is presented. Have the authors tried to compare their data with them? Are the decay exponents near the ones predicted in such papers?
- Presenting figure 4 in logarithmic scale (or using an inset for that) would help to assess the quality of the power-law adjustment. Also, if I understand correctly, the theoretical curve has no fitting parameters? If that is the case, it should be made more explicit on the text as it is a relevant result.
- To properly address the relevance of the Taylor scale on the RANS models, a more systematic study with several grids (producing different values of integral and Taylor scales) should be performed. The present study is an interesting contribution pointing towards the relevance of the Taylor scale in RANS modelling, but gives no conclusive proof. I consider that the conclusions should emphasize this point.
- The accuracy of the numerical simulation in the estimation of different coefficients is discussed in terms of the experimental results but not compared with other numerical works/schemes. I suggest that the authors discuss other works from the literature when presenting figures 16 to 22. Also, those figures should have error bars added.
- I also suggest that figures 11 to 15 are merged onto a single one.