22 May 2024
 | 22 May 2024
Status: this preprint is currently under review for the journal WES.

Wind farm layout optimisation including meandering correction and momentum conserving superposition

Daniel Sukhman, Jan Bartl, Thomas H. Hansen, and Gloria Stenfelt

Abstract. This study introduces a combined analytical approach, to simulate the wake flow in large-scale offshore wind farms and forecast their power output. The developed tool, Qwyn, integrates the Ishihara-Qian single-wake model, a momentum-conserving superposition method by Zong & Porté-Agel, and a wake meandering correction by Braunbehrens & Segalini. A validation against both measurement data and Large Eddy Simulation (LES) results at the Horns Rev 1 (HR1) wind farm is performed. This demonstrates the tool’s capability in capturing the wind farm flow and power output for different wind directions. Notably, the momentum-conserving superposition method significantly enhances the accuracy of power prediction for narrow directional wind bins, while the wake meandering correction improves precision for wider bins. Subsequently, the validated computational tool is used to optimise the layout of HR1 to enhance its annual power production (AEP). By introducing a convexly shaped layout a projected 0.12 % increase in AEP when optimising for a wind rose with 72 wind bins is found. Furthermore, this study shows, that omitting the meandering correction leads to an even more convexly shaped layout without substantial change in AEP improvement.

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Daniel Sukhman, Jan Bartl, Thomas H. Hansen, and Gloria Stenfelt

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2024-62', Anonymous Referee #1, 16 Jun 2024
  • RC2: 'Comment on wes-2024-62', Anonymous Referee #2, 17 Jun 2024
  • RC3: 'Comment on wes-2024-62', Anonymous Referee #3, 18 Jun 2024
Daniel Sukhman, Jan Bartl, Thomas H. Hansen, and Gloria Stenfelt
Daniel Sukhman, Jan Bartl, Thomas H. Hansen, and Gloria Stenfelt


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Short summary
This study introduces Qwyn, a tool for predicting wind flow and power output in large offshore wind farms. Combining advanced models and validated with data from Horns Rev 1, Qwyn accurately simulates various wind conditions. It enhances power predictions for both narrow and wide wind directions. Using Qwyn, a wind farm layout was optimized, leading to a projected 0.12 % increase in annual power production with a new convex row design.