Design optimization of ducted hydrokinetic turbine using CAD-based geometry parametrization
ORAL
Abstract
Previous research suggests that conditioning and accelerating the fluid flow with a duct can improve the hydrodynamic efficiency of a hydrokinetic turbine. Following our previous work [https://arxiv.org/abs/2307.03248] on the topic, we perform a new design optimization study adopting a CAD-based geometry parametrization method. In particular, the ducted turbine geometry is generated using Engineering Sketch Pad (ESP), an open-source CAD package. This parameterization allows us to effectively manipulate the thickness of the duct and a hub with varying diameters, both desirable features considering manufacturing issues. Our gradient-based optimizations leverage an open-source package, DAFoam, which provides both a steady RANS solver and an adjoint solver for flow and sensitivity analysis, respectively. The hydrodynamic efficiency improvement will be demonstrated by comparison to a standard unducted turbine.
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Presenters
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Jeongbin Park
University of Michigan
Authors
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Jeongbin Park
University of Michigan
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Bradford G Knight
University of Rhode Island
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Yingqian Liao
University of Michigan
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Marco Mangano
University of Michigan
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Bernardo Pacini
University of Michigan
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Kevin J Maki
University of Michigan
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Joaquim Martins
University of Michigan
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Jing Sun
University of Michigan
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Yulin Pan
University of Michigan