Affiliation:
1. Department of Mechanical and Aerospace Engineering, The University of Texas at Arlington, P.O. Box 19023, Arlington, TX 76019-0023, USA
Abstract
The purpose of this study is to introduce and demonstrate a fully
automated process for optimizing the airfoil cross-section of a
vertical-axis wind turbine (VAWT). The objective is to maximize
the torque while enforcing typical wind turbine design constraints
such as tip speed ratio, solidity, and blade profile. By fixing
the tip speed ratio of the wind turbine, there exists an airfoil
cross-section and solidity for which the torque can be maximized,
requiring the development of an iterative design system. The
design system required to maximize torque incorporates rapid
geometry generation and automated hybrid mesh generation tools
with viscous, unsteady computational fluid dynamics (CFD)
simulation software. The flexibility and automation of the modular
design and simulation system allows for it to easily be coupled
with a parallel differential evolution algorithm used to obtain an
optimized blade design that maximizes the efficiency of the wind
turbine.
Cited by
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