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Validation of a Mid-Fidelity Numerical Approach for Wind Turbine Aerodynamics Characterization

Author

Listed:
  • Alberto Savino

    (Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy)

  • Andrea Ferreri

    (Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy)

  • Alex Zanotti

    (Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Via La Masa 34, 20156 Milan, Italy)

Abstract

This work is aimed at investigating the capabilities and limits of the mid-fidelity numerical solver DUST for the evaluation of wind turbines aerodynamic performance. In particular, this study was conducted by analysing the benchmarks NREL-5 M W and Phase VI wind turbines, widely investigated in the literature via experimental and numerical activities. The work was started by simulating a simpler configuration of the NREL-5 M W turbine to progressively integrate complexities such as shaft tilt, cone effects and yawed inflow conditions, offering a detailed portrayal of their collective impact on turbine performance. A particular focus was then given to the evaluation of aerodynamic responses from the tower and nacelle, as well as aerodynamic behavior in yawed inflow condition, crucial for optimizing farm layouts. In the second phase, the work was focused on the NREL Phase VI turbine due to the availability of experimental data on this benchmark case. A comparison of DUST simulation results with both experimental data and high-fidelity CFD tools shows the robustness and adaptability of this mid-fidelity solver for these applications, thus opening a new scenario for the use of such mid-fidelity tools for the preliminary design of novel wind turbine configurations or complex environments as wind farms, characterised by robust interactional aerodynamics.

Suggested Citation

  • Alberto Savino & Andrea Ferreri & Alex Zanotti, 2024. "Validation of a Mid-Fidelity Numerical Approach for Wind Turbine Aerodynamics Characterization," Energies, MDPI, vol. 17(7), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1517-:d:1361988
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    References listed on IDEAS

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    1. Carlo Cravero & Davide De Domenico & Davide Marsano, 2023. "Uncertainty Quantification Analysis of Exhaust Gas Plume in a Crosswind," Energies, MDPI, vol. 16(8), pages 1-22, April.
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    3. Rezaeiha, Abdolrahim & Kalkman, Ivo & Blocken, Bert, 2017. "CFD simulation of a vertical axis wind turbine operating at a moderate tip speed ratio: Guidelines for minimum domain size and azimuthal increment," Renewable Energy, Elsevier, vol. 107(C), pages 373-385.
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