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Toward Isolation of Salient Features in Stable Boundary Layer Wind Fields that Influence Loads on Wind Turbines

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  • Jinkyoo Park

    (Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA)

  • Lance Manuel

    (Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, TX 78712, USA)

  • Sukanta Basu

    (Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA)

Abstract

Neutral boundary layer (NBL) flow fields, commonly used in turbine load studies and design, are generated using spectral procedures in stochastic simulation. For large utility-scale turbines, stable boundary layer (SBL) flow fields are of great interest because they are often accompanied by enhanced wind shear, wind veer, and even low-level jets (LLJs). The generation of SBL flow fields, in contrast to simpler stochastic simulation for NBL, requires computational fluid dynamics (CFD) procedures to capture the physics and noted characteristics—such as shear and veer—that are distinct from those seen in NBL flows. At present, large-eddy simulation (LES) is the most efficient CFD procedure for SBL flow field generation and related wind turbine loads studies. Design standards, such as from the International Electrotechnical Commission (IEC), provide guidance albeit with simplifying assumptions (one such deals with assuming constant variance of turbulence over the rotor) and recommend standard target turbulence power spectra and coherence functions to allow NBL flow field simulation. In contrast, a systematic SBL flow field simulation procedure has not been offered for design or for site assessment. It is instructive to compare LES-generated SBL flow fields with stochastic NBL flow fields and associated loads which we evaluate for a 5-MW turbine; in doing so, we seek to isolate distinguishing characteristics of wind shear, wind veer, and turbulence variation over the rotor plane in the alternative flow fields and in the turbine loads. Because of known differences in NBL-stochastic and SBL-LES wind fields but an industry preference for simpler stochastic simulation in design practice, this study investigates if one can reproduce stable atmospheric conditions using stochastic approaches with appropriate corrections for shear, veer, turbulence, etc. We find that such simple tuning cannot consistently match turbine target SBL load statistics, even though this is possible in some cases. As such, when there is a need to consider different stability regimes encountered by a wind turbine, easy solutions do not exist and large-eddy simulation at least for the stable boundary layer is needed.

Suggested Citation

  • Jinkyoo Park & Lance Manuel & Sukanta Basu, 2015. "Toward Isolation of Salient Features in Stable Boundary Layer Wind Fields that Influence Loads on Wind Turbines," Energies, MDPI, vol. 8(4), pages 1-36, April.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:4:p:2977-3012:d:48353
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    References listed on IDEAS

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    1. Chungwook Sim & Sukanta Basu & Lance Manuel, 2012. "On Space-Time Resolution of Inflow Representations for Wind Turbine Loads Analysis," Energies, MDPI, vol. 5(7), pages 1-22, June.
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    Cited by:

    1. Park, Junyoung & Park, Jinkyoo, 2019. "Physics-induced graph neural network: An application to wind-farm power estimation," Energy, Elsevier, vol. 187(C).

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