A parametric study on the hydrodynamics of tidal turbine blade deformation

Arcos, Federico Zilic de; Vogel, Christopher R.; Willden, R.H.J.

doi:10.1016/j.jfluidstructs.2022.103626

Cited by 6 publications

(1 citation statement)

References 18 publications

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“…De Arcos et al used computational fluid dynamics (CFD) software to simulate the hydrodynamic effects of isolated flapping and torsional deformations on tidal turbine blades. The study showed that a pressure drop on the suction side of the blade increases the internal load [22].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Computational Fluid Dynamic Study of Water Flow and Submerged Depth Effects on a Tidal Turbine Performance

Ghamati

Kariman

Hoseinzadeh

2023

Water

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This study involves an experimental and numerical analysis of the Hunter turbine, a vertical axis turbine utilized for tidal energy. A laboratory model of the Hunter turbine, featuring an aspect ratio of 1.2, was designed and tested. Numerical equations, including the Reynolds-averaged Navier–Stokes (RANS) constant, were analyzed through computational fluid dynamics (CFD) software using the k-ω turbulence model to forecast turbine performance and other related flow specifications, such as pressure lines, stream velocity, and pressure. This simulation was conducted on the surface of the turbine blade, and the results were obtained accordingly. The experimental data were utilized to verify the numerical results, and the difference between the two was reasonably acceptable. The turbine was studied in six different flow coefficients and four different vertical positions. The results indicated that the power coefficient increased as the submerged depth from a water-free surface increased, and after a specific depth, the output power remained constant. It was also observed that the minimum depth from a water-free surface for maximum power coefficient was three times the diameter of the turbine drum (3D).

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Section: Introductionmentioning

confidence: 99%

Experimental and Computational Fluid Dynamic Study of Water Flow and Submerged Depth Effects on a Tidal Turbine Performance

Ghamati

Kariman

Hoseinzadeh

2023

Water

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A CFD Study on High‐Thrust Corrections for Blade Element Momentum Models

Zilic de Arcos,

Wimshurst,

Willden

et al. 2024

Wind Energy

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This paper presents a reanalysis of four axial‐flow rotor simulation datasets to study the relationship between thrust and axial induction factor. We concentrate on high‐thrust conditions and study variations in induction factor and loads across the span of the different rotor blades. The datasets consist of three different axial‐flow rotors operating at different tip‐speed ratios and, for one dataset, also at different blockage ratios. The reanalysis shows differences between the blade‐resolved CFD results and a widespread empirical turbulent wake model (TWM) used within blade element momentum (BEM) turbine models. These differences result in BEM models underestimating thrust and especially power for axial‐flow rotors operating in high‐thrust regimes. The accuracy of BEM model predictions are improved substantially by correcting this empirical TWM, producing better agreement with blade‐resolved CFD simulations for thrust and torque across most of the span of the blades of the three rotors. Additionally, the paper highlights deficiencies in tiploss modelling in common BEM implementations and highlights the impact of blockage on the relationship between thrust and axial induction factors.

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