Actuator line simulations of wind turbine  wakes using the lattice Boltzmann method

Asmuth, Henrik; Olivares-Espinosa, Hugo; Ivanell, Stefan

doi:https://doi.org/10.5194/wes-5-623-2020

Articles | Volume 5, issue 2

https://doi.org/10.5194/wes-5-623-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Wind Energy Science Conference 2019

https://doi.org/10.5194/wes-5-623-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 2

Research article

|

26 May 2020

Research article |

| 26 May 2020

Actuator line simulations of wind turbine wakes using the lattice Boltzmann method

Henrik Asmuth, Hugo Olivares-Espinosa, and Stefan Ivanell

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Final revised paper (published on 26 May 2020)
Preprint (discussion started on 17 Dec 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'General comments', Anonymous Referee #1, 31 Jan 2020
RC2: 'Review: Acutator line simulations of wind turbine wakes using the LBM by H. Asmuth et al.', Anonymous Referee #2, 09 Feb 2020
AC1: 'Response to the Reviewers', Henrik Asmuth, 27 Mar 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Henrik Asmuth on behalf of the Authors (27 Mar 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Mar 2020) by Alessandro Croce

RR by Anonymous Referee #1 (14 Apr 2020)

RR by Anonymous Referee #2 (19 Apr 2020)

ED: Publish subject to technical corrections (20 Apr 2020) by Alessandro Croce

ED: Publish subject to technical corrections (20 Apr 2020) by Joachim Peinke(Chief editor)

AR by Henrik Asmuth on behalf of the Authors (28 Apr 2020) Author's response Manuscript

Short summary

The presented work investigates the potential of the lattice Boltzmann method (LBM) for numerical simulations of wind turbine wakes. The LBM is a rather novel, alternative approach for computational fluid dynamics (CFD) that allows for significantly faster simulations. The study shows that the method provides similar results when compared to classical CFD approaches while only requiring a fraction of the computational demand.