Abstract

This study investigates the impacts of dierent airfoil shapes on the 3D augmentationand power production of horizontal axis wind turbines (HAWTs). The aerodynamic eect fromchanging the leading and trailing edge of the airfoil is the emphasis of the research. Varied powerproduced from modifying sensitivity on 3D augmentations, caused by revamping airfoil shapes, areshown. The 3D correction law, considering the chord to radius ratio and the blades’ pitch angle inthe rotation, is applied to the airfoil lift coecients. The blade element method (BEM) embeddedin the software Qblade with modified lift coecients simulates the power productions of threewind turbines from these airfoils. The comparisons of the boundary layer characteristics, sectionalforces, and inflow angle of the blade sections are calculated. The k-omega SST turbulence model inOpenFoam visualizes the stall and separation of the blades’ 2D section. The airfoils with a roundedleading edge show a reduced stall and separated flow region. The power production is 2.3 timeshigher for the airfoil constructed with a more rounded leading edge S809r and two times higher forthe airfoil S809gx of the symmetric structure.

Highlights

  • The total installed capacity of wind energy over the world has been continuously increasing

  • The National Renewable Energy Laboratory (NREL) designed several airfoils for both stall-regulated and pitch control wind turbines incorporated with the Solar Energy Research Institute (SERI) [3]

  • The OpenFoam pressure diMstreitbhuotdion resCullts coCmdpareAdlptohathe experimental data at alpha 12.2◦ and 20◦ show higher predictabiElixtypeirnimFiegnutre 110.0. 0As t0h.e04lift a1n2d.2d°rag coefficients are from the pressure distribution around the airfoil,OtpheeneFxopamerime1n.0t6al an0d.05CFD1c2a.2l°culated Cl and Cd values show good agreement on both alpha degrees in Table 4 and Figure 19

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Summary

Introduction

The total installed capacity of wind energy over the world has been continuously increasing. The roughness sensitivity, higher gliding ratio, and structural stability on the root part with the tip part’s aerodynamic effectiveness are found to be some of several requirements of the airfoil in a wind turbine [2]. The National Renewable Energy Laboratory (NREL) designed several airfoils for both stall-regulated and pitch control wind turbines incorporated with the Solar Energy Research Institute (SERI) [3]. Chen used GA and artificial intelligence methods for increasing the lift to drag ratio of the airfoils [65]. The candidate designs in the population before the convergence can be saved and investigated for the other performance parameters It is more useful for the current design research, as there is no need to devise an equation for the gradient-based optimization derivatives [7]

Methods
Results
Conclusion

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