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Renewable Energy
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Numerical analysis of wind turbines blade in deep dynamic stall

Authors: Hamid Reza Karbasian; Javad Abolfazli Esfahani; Aliyu Musa Aliyu; Kyung Chun Kim;

Numerical analysis of wind turbines blade in deep dynamic stall

Abstract

This study numerically investigates kinematics of dynamic stall, which is a crucial matter in wind turbines. Distinct movements of the blade with the same angle of attack (AOA) profile may provoke the flow field due to their kinematic characteristics. This induction can significantly change aerodynamic loads and dynamic stall process in wind turbines. The simulation involves a 3D NACA 0012 airfoil with two distinct pure-heaving and pure-pitching motions. The flow field over this 3D airfoil was simulated using Delayed Detached Eddy Simulations (DDES). The airfoil begins to oscillate at a Reynolds number of Re = 1.35 × 105. The given attack angle profile remains unchanged for all cases. It is shown that the flow structures differ notably between pure-heaving and pure-pitching motions, such that the pure-pitching motions induce higher drag force on the airfoil than the pure-heaving motion. Remarkably, heaving motion causes excessive turbulence in the boundary layer, and then the coherent structures seem to be more stable. Hence, pure-heaving motion contains more energetic core vortices, yielding higher lift at post-stall. In contrast to conventional studies on the dynamic stall of wind turbines, current results show that airfoils’ kinematics significantly affect the load predictions during the dynamic stall phenomenon.

Country
United Kingdom
Keywords

H141 Fluid Mechanics, Computational Fluid Dynamics (CFD), Sustainable renewable energy, 532, 620, H141 - Fluid mechanics, Fluid-structure interaction, Wind energy, Wind turbine, Dynamic stall

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    Top 10%
    influence
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    impulse
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green