Preprints
https://doi.org/10.5194/wes-2025-60
https://doi.org/10.5194/wes-2025-60
14 Apr 2025
 | 14 Apr 2025
Status: this preprint is currently under review for the journal WES.

Coriolis Recovery of Wind Farm Wakes

Ronald B. Smith and Brian J. Gribben

Abstract. Two mechanisms cause wind speed recovery in the wake of a wind farm: momentum mixing and the Coriolis force. To study these mechanisms, we use a steady linearized two-layer Fast Fourier Transform (FFT) model so that both analytical expressions and full flow fields can be derived. The model parametrizes the vertical momentum mixing as Rayleigh friction. Pressure gradient forces are computed using a two-part vertical wave number formulation in the upper layer. The Coriolis force recovery occurs by deflecting flow leftward (in the northern hemisphere). The Coriolis force, acting on this crossflow, re-accelerates the flow in the downwind direction.

The relative importance of Rayleigh versus Coriolis wake recovery depends on their two coefficients: C and f respectively, each with units of inverse time. When the coefficient ratio is large, i.e. C/f >> 1 , Rayleigh friction restores the wake before Coriolis can act. Farm size and atmospheric static stability are also important to wake recovery. The wakes of small and medium size farms will quickly approach geostrophic balance. Once balance is established, the ratio of farm size "a" to the Rossby Radius of Deformation (RRD) determines the amount of Coriolis recovery. For a small farm in a stable atmosphere (a < RRD), Coriolis acts by adjusting the pressure field to obtain geostrophic balance rather than accelerating the wind. When this occurs, only momentum mixing can restore the "inner" wake. For large farms in less stable conditions (a > RRD), the Coriolis Force significantly contributes to wake recovery. In this case, the leftward deflected flow creates "edge jets" on either side of the wake. Including the Coriolis force when modelling wind farm wakes is demonstrated to be increasingly important for larger wind farms or farm clusters.

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 preprint. The responsibility to include appropriate place names lies with the authors.
Share
Ronald B. Smith and Brian J. Gribben

Status: open (until 13 May 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Ronald B. Smith and Brian J. Gribben
Ronald B. Smith and Brian J. Gribben

Viewed

Total article views: 46 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
33 11 2 46 0 0
  • HTML: 33
  • PDF: 11
  • XML: 2
  • Total: 46
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 14 Apr 2025)
Cumulative views and downloads (calculated since 14 Apr 2025)

Viewed (geographical distribution)

Total article views: 46 (including HTML, PDF, and XML) Thereof 46 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Apr 2025
Download
Short summary
This work extends a model of wind farm interaction with the atmosphere to properly account for Coriolis forcing. The model now embodies many aspects of atmospheric dynamics in a manner that remains fairly simple and very quick to run. The motivation is to investigate the conditions under which Coriolis contributes significantly to wind farm wake recovery. The model results and associated analytic expressions provide these insights, which are important when modelling offshore wind wake loss.
Share
Altmetrics