2013
DOI: 10.3390/en6062784
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The Performance Test of Three Different Horizontal Axis Wind Turbine (HAWT) Blade Shapes Using Experimental and Numerical Methods

Abstract: Three different horizontal axis wind turbine (HAWT) blade geometries with the same diameter of 0.72 m using the same NACA4418 airfoil profile have been investigated both experimentally and numerically. The first is an optimum (OPT) blade shape, obtained using improved blade element momentum (BEM) theory. A detailed description of the blade geometry is also given. The second is an untapered and optimum twist (UOT) blade with the same twist distributions as the OPT blade. The third blade is untapered and untwist… Show more

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Cited by 83 publications
(88 citation statements)
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“…All defined angles are indicated in Figure 4b, where a is the axial induction factor and a 1 is the angular induction factor. Principally, the effective radius of rotation R [21][22][23][24][25] is determined by: Principally, the effective radius of rotation R [21][22][23][24][25] is determined by: …”
Section: Theoretical Modeling Of Blade Designmentioning
confidence: 99%
See 1 more Smart Citation
“…All defined angles are indicated in Figure 4b, where a is the axial induction factor and a 1 is the angular induction factor. Principally, the effective radius of rotation R [21][22][23][24][25] is determined by: Principally, the effective radius of rotation R [21][22][23][24][25] is determined by: …”
Section: Theoretical Modeling Of Blade Designmentioning
confidence: 99%
“…Then, the tip speed ratio at each section given in Equation (3) can be substituted into the following equation to give the local inflow angle by [21][22][23][24][25]:…”
Section: Theoretical Modeling Of Blade Designmentioning
confidence: 99%
“…In this study, a simulation code [5] based on the BEM theory is developed to lay out the geometric shape of the turbine blade, and furthermore, to predict its aerodynamic performance. This simulation code, which previously has low accuracy on predicting the blade stall region [5], was modified by the Viterna-Corrigan (VC) stall and stall delay models to improve the predictions for the performance.…”
Section: Simulation Codementioning
confidence: 99%
“…This simulation code, which previously has low accuracy on predicting the blade stall region [5], was modified by the Viterna-Corrigan (VC) stall and stall delay models to improve the predictions for the performance.…”
Section: Simulation Codementioning
confidence: 99%
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