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An experimental and numerical analysis of the dynamic variation of the angle of attack in a vertical-axis wind turbine
Author(s) -
Pier Francesco Melani,
Francesco Balduzzi,
Livia Brandetti,
Carlos Ferreira,
Alessandro Bianchini
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1618/5/052064
Subject(s) - stall (fluid mechanics) , computational fluid dynamics , airfoil , angle of attack , aerodynamics , blade element momentum theory , lift (data mining) , particle image velocimetry , rotor (electric) , vertical axis wind turbine , aerospace engineering , turbine , mechanics , computer science , engineering , turbine blade , mechanical engineering , physics , turbulence , data mining
Simulation methods ensuring a level of fidelity higher than that of the ubiquitous Blade Element Momentum theory are increasingly applied to VAWTs, ranging from Lifting-Line methods, to Actuator Line or Computational Fluid Dynamics (CFD). The inherent complexity of these machines, characterised by a continuous variation of the angle of attack during the cycloidal motion of the airfoils and the onset of many related unsteady phenomena, makes nonetheless a correct estimation of the actual aerodynamics extremely difficult. In particular, a better understanding of the actual angle of attack during the motion of a VAWT is pivotal to select the correct airfoil and functioning design conditions. Moving from this background, a high-fidelity unsteady CFD model of a 2-blade H-Darrieus rotor was developed and validated against unique experimental data collected using Particle Image Velocimetry (PIV). In order to reconstruct the AoA variation during one rotor revolution, three different methods-detailed in the study-were then applied to the computed CFD flow fields. The resulting AoA trends were combined with available blade forces data to assess the corresponding lift and drag coefficients over one rotor revolution and correlate them with the most evident flow macro-structures and with the onset of dynamic stall.

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