2015
DOI: 10.1016/j.renene.2014.08.068
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Quantification of the effects of geometric approximations on the performance of a vertical axis wind turbine

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Cited by 79 publications
(38 citation statements)
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“…9 SMI has captured these variations adequately and produced reasonable results (see 10 ). Where as MRF failed to characterize these interactions, which are certainly there because of underlying steadiness in the solution.…”
Section: A Mrf Vs Smimentioning
confidence: 78%
“…9 SMI has captured these variations adequately and produced reasonable results (see 10 ). Where as MRF failed to characterize these interactions, which are certainly there because of underlying steadiness in the solution.…”
Section: A Mrf Vs Smimentioning
confidence: 78%
“…Siddiqui et al [12] numerically quantified the effects of the geometric modeling on the performance of a vertical axis wind turbine. They evaluated several approximations: 2D computations, 2.5D approximation (i.e., extrusion of the 2D grid with symmetry boundary condition at the blades span), 3D geometry considering blades only and 3D simulation with blades, shaft and arms.…”
Section: Introductionmentioning
confidence: 99%
“…It is, therefore, vital to resolve the wake to study the complex physics inside wind farms, depending on the rotor size and the blade aerodynamic characteristics. To perform such task, there are various types of methods available depending on the level of complexity to evaluate the aerodynamic behavior of wind turbines [5]. One of the most widely used analytical technique is the use of the Blade Element Momentum (BEM) theory.…”
Section: Introduction and Objectivementioning
confidence: 99%
“…Recent advancement of computers nowadays, the Computational Fluid Dynamics (CFD) is becoming a vital alternative [9]. It also offers certain advantages concerning qualitative analysis, visualizations of pressure distribution on turbine blade surfaces and evaluation of the dynamic behavior under variable inflow conditions can be explicitly formulated [5]. It is not unique in the sense of computational cost.…”
Section: Introduction and Objectivementioning
confidence: 99%