Hydrodynamic independence and passive control application of twist and flapwise deformations of tidal turbine blades

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

doi:10.1016/j.jfluidstructs.2022.103827

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…The hydrodynamic loads experienced by the blades can result in blade deformations in the flapwise (thrust), edgewise (torque), and twist directions based on the structural properties of the blade (Zilic de Arcos et al 2019). There is feedback between the changes in blade geometry and the hydrodynamic loads leading to those changes.…”

Section: Figurementioning

confidence: 99%

The Fluid Mechanics of Tidal Stream Energy Conversion

Adcock

Draper

Willden

et al. 2021

Annu. Rev. Fluid Mech.

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Placing mechanical devices into fast-moving tidal streams to generate clean and predictable electricity is a developing technology. This review covers the fundamental fluid mechanics of this application, which is important for understanding how such devices work and how they interact with the tidal stream resource. We focus on how tidal stream turbines and energy generation are modeled analytically, numerically, and experimentally. Owing to the nature of the problem, our review is split into different scales—from turbine to array and regional—and we examine each in turn. Expected final online publication date for the Annual Review of Fluid Mechanics, Volume 53 is January 6, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Figurementioning

confidence: 99%

The Fluid Mechanics of Tidal Stream Energy Conversion

Adcock

Draper

Willden

et al. 2021

Annu. Rev. Fluid Mech.

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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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