Preprints
https://doi.org/10.5194/wes-2023-89
https://doi.org/10.5194/wes-2023-89
16 Aug 2023
 | 16 Aug 2023
Status: a revised version of this preprint is currently under review for the journal WES.

Brief communication: A simple axial induction modification to WRF’s Fitch wind farm parameterisation

Lukas Vollmer, Balthazar Arnoldus Maria Sengers, and Martin Dörenkämper

Abstract. We propose a modification to the Fitch wind farm parameterisation implemented in the Weather Research and Forecasting (WRF) model. This modification, derived from the 1D momentum theory, employs a wind speed dependent induction factor to correct the local grid wind speed back to free stream, before computing the turbine’s power and thrust. While the original implementation underestimates power, the modified version shows a better agreement with the power curve. We strongly recommend the modification to be employed for all studies that model not more than one turbine per WRF grid cell.

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.
Lukas Vollmer, Balthazar Arnoldus Maria Sengers, and Martin Dörenkämper

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on wes-2023-89', Nicolai Gayle Nygaard, 30 Aug 2023
    • CC2: 'Reply on CC1', Lukas Vollmer, 01 Sep 2023
  • RC1: 'Comment on wes-2023-89', Patrick Hawbecker, 05 Dec 2023
  • RC2: 'Comment on wes-2023-89', Anonymous Referee #2, 06 Jan 2024
  • AC1: 'Author's response to wes-2023-89', Balthazar Sengers, 18 Jan 2024
Lukas Vollmer, Balthazar Arnoldus Maria Sengers, and Martin Dörenkämper
Lukas Vollmer, Balthazar Arnoldus Maria Sengers, and Martin Dörenkämper

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Latest update: 14 Jun 2024
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Short summary
This study proposes a modification to a well-established wind farm parameterization used in mesoscale models. The wind speed at the location of the turbine, which is used to calculate power and thrust, is corrected to approximate the free wind speed. Results show that the modified parameterization produces more accurate estimates of the turbine’s power curve.
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