2023
DOI: 10.1016/j.energy.2022.126327
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Numerical investigations of the flow control effect on a thick wind turbine airfoil using deformable trailing edge flaps

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Cited by 13 publications
(5 citation statements)
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“…Notable deviations are discernible during the downstroke motion, attributable, at least in part, to inherent limitations associated with unsteady RANS turbulence modeling -a phenomenon corroborated in other numerical simulations [39]. Analogous findings have also been reported in related literature by Qian et al for example [40]. Consequently, even though k − ω SST is highly recommended in the literature, when it is not accompanied with a proper mesh resolution close to the walls (i.e., y+ ≈ 1, and ∆y/∆z ≈ 1, which does not apply to the present case) under the actual dynamic stall conditions, strong numerical instabilities emerge, which slow down the convergence rate, and therefore the simulation, and additionally prompt the use of lower-order numerical time schemes.…”
Section: Sensitivity Analysissupporting
confidence: 80%
“…Notable deviations are discernible during the downstroke motion, attributable, at least in part, to inherent limitations associated with unsteady RANS turbulence modeling -a phenomenon corroborated in other numerical simulations [39]. Analogous findings have also been reported in related literature by Qian et al for example [40]. Consequently, even though k − ω SST is highly recommended in the literature, when it is not accompanied with a proper mesh resolution close to the walls (i.e., y+ ≈ 1, and ∆y/∆z ≈ 1, which does not apply to the present case) under the actual dynamic stall conditions, strong numerical instabilities emerge, which slow down the convergence rate, and therefore the simulation, and additionally prompt the use of lower-order numerical time schemes.…”
Section: Sensitivity Analysissupporting
confidence: 80%
“…Reports indicate that lift coefficient and lift-to-drag ratio increase with greater flexure, delaying the stall attack angle [24]. Activated trailing edge deformation with appropriate parameters can reduce lift fluctuation of the pitching foil for HAT [25]. Numerical studies on the energy-harvesting performance of an oscillating hydrofoil with activated chordwise deformation showed improved lift and energy-harvesting capabilities due to increased pressure difference between upper and lower surfaces [26][27][28].…”
Section: Of 21mentioning
confidence: 99%
“…The RNG k-ε model, proposed by Yakhot and Orszag (1986), is based on the renormalization group method. Similar in form to the standard k-ε, this theory yields an effective viscosity derived from the analysis, accounting for the influence of low Reynolds numbers and the appropriate treatment of the near-wall region by utilizing the Gaussian statistical method under equilibrium conditions [24]. After performing a series of operations to eliminate small-scale components and rescale the residual portion, the equation governing large-scale motion is obtained, enabling better management of flows with elevated strain rates and streamline curvature, thereby enhancing computational accuracy [25].…”
Section: Numerical Modelmentioning
confidence: 99%