Measurement-driven large-eddy simulations of a diurnal  cycle during a wake-steering field campaign

Quon, Eliot

doi:https://doi.org/10.5194/wes-9-495-2024

Articles | Volume 9, issue 3

https://doi.org/10.5194/wes-9-495-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-9-495-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 3

Research article

|

04 Mar 2024

Research article |

| 04 Mar 2024

Measurement-driven large-eddy simulations of a diurnal cycle during a wake-steering field campaign

Eliot Quon

Model code and software

Simulator fOr Wind Farm Applications M. Churchfield et al. https://github.com/NREL/SOWFA-6/tree/dev

OpenFAST version 2.4.0 B. Jonkman et al. https://github.com/OpenFAST/openfast

NREL's Reference OpenSource Controller (ROSCO) toolbox for wind turbine applications, version 2.0.2 N. Abbas et al. https://github.com/NREL/ROSCO

FLORIS Wake Modeling and Wind Farm Controls Software, version 2.0.0 R. Mudafort et al. https://github.com/NREL/floris

Short summary

Engineering models used to design wind farms generally do not account for realistic atmospheric conditions that can rapidly evolve from minute to minute. This paper uses a first-principles simulation technique to predict the performance of five wind turbines during a wind farm control experiment. Challenges included limited observations and atypical conditions. The simulation accurately predicts the aerodynamics of a turbine when it is situated partially within the wake of an upstream turbine.