Local correlation-based transition models for high-Reynolds-number wind-turbine airfoils

نویسندگان

چکیده

Abstract. Modern wind-turbine airfoil design requires robust performance predictions for varying thicknesses, shapes, and appropriate Reynolds numbers. The airfoils of current large offshore wind turbines operate with chord-based numbers in the range 3–15 million. Turbulence transition boundary layer is known to play an important role aerodynamics these near operating point. While lack prediction lift stall through Reynolds-averaged Navier–Stokes (RANS) computational fluid dynamics (CFD) well known, using CFD accurate glide ratio (L/D) linear portion polar. drag bucket greatly affected by choice model RANS airfoils. We present two existing local correlation-based models – one-equation (?? SA) two-equation (?-Re?t?- coupled Spalart–Allmaras (SA) turbulence at a high number. compare available experimental data literature number million including AVATAR project measurements DU00-W-212 airfoil. Both predict larger L/D compared fully turbulent results all exhibit similar behavior around 3 However, higher numbers, fails natural due early onset. predicts aerodynamic coefficients various thickness up 15 more accurately model. As result, are comparable from eN limitation this observed very 12–15 where sensitive inflow intensity. combination good method modern CFD.

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ژورنال

عنوان ژورنال: Wind energy science

سال: 2022

ISSN: ['2366-7451', '2366-7443']

DOI: https://doi.org/10.5194/wes-7-603-2022