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Implementation of a generalized actuator disk model into WRF v4.3: A validation study for a real-scale wind turbine

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  • Kale, Baris
  • Buckingham, Sophia
  • van Beeck, Jeroen
  • Cuerva-Tejero, Alvaro

Abstract

A validation study is carried out for a generalized actuator disk model (GAD) implemented into the Weather Research and Forecasting model, an open-source numerical weather prediction code, in order to simulate the aerodynamic behavior of a real-scale wind turbine under varying atmospheric conditions. Multiple large-eddy simulations (LESs) are performed to resolve energy-containing eddies of turbulent motions utilizing the GAD model, which calculates the wind turbine-induced forces distributed over the rotor disk. The benchmarks defined at the Scaled Wind Technology Facility (SWiFT) campaign, (for details see Doubrawa et al., 2020), were chosen to validate the performance of the GAD model in terms of its capability to reproduce the wake and aerodynamic loading on the rotor. Meteorological data are available from a 60 m meteorological tower located 65 m upstream of the wind turbine, and the aerodynamic data, including scans of downstream velocity profiles, are available for the Vestas V27 wind turbine thanks to DTU’s nacelle-mounted, rear-facing SpinnerLidar (Mikkelsen et al., 2013). Rotor performance and wake recovery results obtained from the GAD model are compared with field experiments and other LES data.

Suggested Citation

  • Kale, Baris & Buckingham, Sophia & van Beeck, Jeroen & Cuerva-Tejero, Alvaro, 2022. "Implementation of a generalized actuator disk model into WRF v4.3: A validation study for a real-scale wind turbine," Renewable Energy, Elsevier, vol. 197(C), pages 810-827.
    • Handle: RePEc:eee:renene:v:197:y:2022:i:c:p:810-827
    DOI: 10.1016/j.renene.2022.07.119
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    References listed on IDEAS

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    1. Wu, Yu-Ting & Porté-Agel, Fernando, 2015. "Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm," Renewable Energy, Elsevier, vol. 75(C), pages 945-955.
    2. Mahdi Abkar & Jens Nørkær Sørensen & Fernando Porté-Agel, 2018. "An Analytical Model for the Effect of Vertical Wind Veer on Wind Turbine Wakes," Energies, MDPI, vol. 11(7), pages 1-10, July.
    3. Umberto Ciri & Giovandomenico Petrolo & Maria Vittoria Salvetti & Stefano Leonardi, 2017. "Large-Eddy Simulations of Two In-Line Turbines in a Wind Tunnel with Different Inflow Conditions," Energies, MDPI, vol. 10(6), pages 1-23, June.
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    1. Kale, Baris & Buckingham, Sophia & van Beeck, Jeroen & Cuerva-Tejero, Alvaro, 2023. "Comparison of the wake characteristics and aerodynamic response of a wind turbine under varying atmospheric conditions using WRF-LES-GAD and WRF-LES-GAL wind turbine models," Renewable Energy, Elsevier, vol. 216(C).
    2. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2024. "A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).

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