Preprints
https://doi.org/10.5194/egusphere-2023-491
https://doi.org/10.5194/egusphere-2023-491
09 May 2023
 | 09 May 2023

Implementation of a Simple Actuator Disc for Large Eddy Simulation (SADLES-V1.0) in the Weather Research and Forecasting Model (V4.3.1) for Wind Turbine Wake Simulation

Hai Bui, Mostafa Bakhoday-Paskyabi, and Mohammadreza Mohammadpour-Penchah

Abstract. The development of wind energy in recent years has made the representation of wind turbines in numerical models essential for wind resource and environmental assessment. In this study, we introduce a new wind turbine model, the Simple Actuator Disk for Large Eddy Simulation (SADLES), parameterized in the Weather Research and Forecast (WRF) model. Our goal is to perform realistic downscaling of large eddy simulation, so we integrated SADLES and the cell perturbation method as WRF modules and released the code as open-source for further research. We demonstrate the effectiveness of SADLES by comparing a large eddy simulation of a 5-MW wind turbine using the WRF-SADLES with the Parallelized Large-eddy simulation Model (PALM), showing that SADLES can simulate wind turbine wakes effectively at an intermediate resolution of a few dozen meters. Furthermore, we show the applicability of SADLES in wind farm assessment by downscaling the ERA5 reanalysis data to study turbine-to-turbine and farm-to-farm interactions for the Alpha Ventus wind farm. In our case study, due to the wind farm to the southwest, the ambient wind speed at Alpha Ventus is reduced by 14 % and the average turbine power is reduced by 35 %. SADLES provides a promising balance between computational efficiency and accuracy for wind turbine wake simulations and has potential applications in wind energy assessment and wind farm construction planning.

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Journal article(s) based on this preprint

29 May 2024
Implementation of a Simple Actuator Disk for Large-Eddy Simulation in the Weather Research and Forecasting Model (WRF-SADLES v1.2) for wind turbine wake simulation
Hai Bui, Mostafa Bakhoday-Paskyabi, and Mohammadreza Mohammadpour-Penchah
Geosci. Model Dev., 17, 4447–4465, https://doi.org/10.5194/gmd-17-4447-2024,https://doi.org/10.5194/gmd-17-4447-2024, 2024
Short summary
Hai Bui, Mostafa Bakhoday-Paskyabi, and Mohammadreza Mohammadpour-Penchah

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2023-491', Juan Antonio Añel, 19 Jun 2023
    • AC1: 'Reply on CEC1', Hai Bui, 19 Jun 2023
  • RC1: 'Comment on egusphere-2023-491', Anonymous Referee #1, 27 Sep 2023
    • AC3: 'Reply on RC1', Hai Bui, 29 Jan 2024
  • RC2: 'Comment on egusphere-2023-491', Anonymous Referee #2, 28 Oct 2023
    • AC2: 'Reply on RC2', Hai Bui, 29 Jan 2024
  • RC3: 'Comment on egusphere-2023-491', Anonymous Referee #3, 17 Jan 2024
    • AC4: 'Reply on RC3', Hai Bui, 29 Jan 2024
  • RC4: 'Comment on egusphere-2023-491', Anonymous Referee #4, 23 Jan 2024
    • AC5: 'Reply on RC4', Hai Bui, 29 Jan 2024

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2023-491', Juan Antonio Añel, 19 Jun 2023
    • AC1: 'Reply on CEC1', Hai Bui, 19 Jun 2023
  • RC1: 'Comment on egusphere-2023-491', Anonymous Referee #1, 27 Sep 2023
    • AC3: 'Reply on RC1', Hai Bui, 29 Jan 2024
  • RC2: 'Comment on egusphere-2023-491', Anonymous Referee #2, 28 Oct 2023
    • AC2: 'Reply on RC2', Hai Bui, 29 Jan 2024
  • RC3: 'Comment on egusphere-2023-491', Anonymous Referee #3, 17 Jan 2024
    • AC4: 'Reply on RC3', Hai Bui, 29 Jan 2024
  • RC4: 'Comment on egusphere-2023-491', Anonymous Referee #4, 23 Jan 2024
    • AC5: 'Reply on RC4', Hai Bui, 29 Jan 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Hai Bui on behalf of the Authors (11 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Mar 2024) by Mohamed Salim
RR by Anonymous Referee #2 (14 Mar 2024)
RR by Anonymous Referee #3 (20 Mar 2024)
RR by Anonymous Referee #1 (28 Mar 2024)
ED: Publish subject to minor revisions (review by editor) (28 Mar 2024) by Mohamed Salim
AR by Hai Bui on behalf of the Authors (07 Apr 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (12 Apr 2024) by Mohamed Salim
AR by Hai Bui on behalf of the Authors (14 Apr 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Apr 2024) by Mohamed Salim
AR by Hai Bui on behalf of the Authors (16 Apr 2024)  Author's response   Manuscript 

Journal article(s) based on this preprint

29 May 2024
Implementation of a Simple Actuator Disk for Large-Eddy Simulation in the Weather Research and Forecasting Model (WRF-SADLES v1.2) for wind turbine wake simulation
Hai Bui, Mostafa Bakhoday-Paskyabi, and Mohammadreza Mohammadpour-Penchah
Geosci. Model Dev., 17, 4447–4465, https://doi.org/10.5194/gmd-17-4447-2024,https://doi.org/10.5194/gmd-17-4447-2024, 2024
Short summary
Hai Bui, Mostafa Bakhoday-Paskyabi, and Mohammadreza Mohammadpour-Penchah
Hai Bui, Mostafa Bakhoday-Paskyabi, and Mohammadreza Mohammadpour-Penchah

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Short summary
In this study, we developed a simple wind turbine model, named the Simple Actuator Disk for Large Eddy Simulation (SADLES), to simulate turbine wakes in numerical simulation with a resolution of a few dozen meters. The model requires only some basic information about wind turbines, provides a promising balance between computational efficiency and accuracy for wind turbine wake simulations, and has potential applications in wind energy assessment and wind farm construction planning.