Wave–current interaction effects on tidal stream turbine performance and loading characteristics

Tatum, Sarah; Frost, Carwyn; Allmark, Matthew; O'Doherty, Daphne Maria; Mason-Jones, Allan; Prickett, Paul William; Grosvenor, Roger Ivor; Byrne, Carlton Barrie Baylis; O'Doherty, Timothy

doi:10.1016/j.ijome.2015.09.002

Cited by 53 publications

(40 citation statements)

References 6 publications

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“…Consequently, the results of this kind of calculations will be improved. Also, it seems that it is possible to perform this type of analysis not only on even surfaces but also on rough terrain which constitutes a development of concepts shown in the literature [1][2][3]. Results for the different velocities do not raise crucial doubts.…”

Section: Discussionmentioning

confidence: 99%

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Using of CFD software for setting the location of water stream micro turbines

Borsuk

2016

E3S Web Conf.

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Abstract. The aim of this work was to estimate the efficiency of CFD software in calculating flow velocity magnitude in natural water streams. These kinds of estimations are essential for setting the locations of water stream micro turbines. These devices can be useful to provide electricity in areas remote from power generating facilities or as backup power supply in case of power grid failure. The analysed water stream has length of 100 m and its average slope was approximately 10%. Water velocity varies in the range from 0.5 m 3 *s -1 to 5 m 3 *s -1. Additionally, the influence of ground roughness on the stream velocity was also an important factor. Results proved to be satisfactory. In the analysed stream, velocities were in a range which allows the proposed micro turbine to be effective. Calculation grid created by CFD software did not have many areas which may raise doubts. Also, the influence of changes in the ground roughness factor was noticeable. Preliminary CFD simulations allow to estimate where in the stream the micro turbine will be most efficient. On the other hand, despite these calculations, profitability and return on the investment still can be questionable.

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Section: Discussionmentioning

confidence: 99%

“…But in that kind of usage, the influence of environment is not treated with sufficient attention. In literature [1][2][3], uneven river bed surface is an overlooked issue. Also turbine models are created with flat ground and steady stream flow conditions in mind.…”

Section: Introductionmentioning

confidence: 99%

Using of CFD software for setting the location of water stream micro turbines

Borsuk

2016

E3S Web Conf.

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“…The surface elevation for a one-dimensional sea state undergoing reflection in the presence of collinear current can be described by Equation (8). Assuming linear wave theory, this can be described as a Fourier sum of incident and reflected wave components:…”

Section: Isolating Incident and Reflected Wavesmentioning

confidence: 99%

“…Wave loads are one of the dominant contributors to fatigue and hence are a key factor in determining turbine blade lifetime [5]. The presence of waves also has implications for control strategies and turbine performance, as discussed in Luznik et al [6], Fulton et al [7], Tatum et al [8]. The extent to which waves will affect a tidal turbine will depend on the device type and the deployment site.…”

Section: Introductionmentioning

confidence: 99%

Re-Creating Waves in Large Currents for Tidal Energy Applications

et al. 2017

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Unsteady wave loading on tidal turbines impacts significantly the design, and expected life-time, of turbine blades and other key components. Model-scale testing of tidal turbines in the wave-current environment can provide vital understanding by emulating real-world load cases; however, to reduce uncertainty, it is important to isolate laboratory-specific artefacts from real-world behaviour. In this paper, a variety of realistic combined current-wave scenarios is re-created at the FloWave basin, where the main objective is to understand the characteristics of testing in a combined wave-current environment and assess whether wave effects on the flow field can be predicted. Here, we show that a combination of linear wave-current theory and frequency-domain reflection analysis can be used to effectively predict wave-induced particle velocities and identify velocity components that are experimental artefacts. Load-specific mechanisms present in real-world conditions can therefore be isolated, and equivalent full-scale load cases can be estimated with greater confidence. At higher flow speeds, a divergence from the theory presented is observed due to turbulence-induced non-stationarity. The methodology and results presented increase learning about the wave-current testing environment and provide analysis tools able to improve test outputs and conclusions from scale model testing.

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“…Nicholls-Lee et al [16] used a loosely coupled modular approach to assess the performance of new concept (i.e., bend twist coupled) blades made from adaptive composite. Tatum et al [17] also used coupled FSI modular approach to study the effect of wave current interaction on the performance of TCT. An uncoupled approach of [14,15] can only model minimal, non-linearity, and small perturbation.…”

Section: Introductionmentioning

confidence: 99%

Fluid Structure Interaction Modelling of Tidal Turbine Performance and Structural Loads in a Velocity Shear Environment

Badshah

Kadir

2018

Energies

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Tidal Current Turbine (TCT) blades are highly flexible and undergo considerable deflection due to fluid interactions. Unlike Computational Fluid Dynamic (CFD) models Fluid Structure Interaction (FSI) models are able to model this hydroelastic behavior. In this work a coupled modular FSI approach was adopted to develop an FSI model for the performance evaluation and structural load characterization of a TCT under uniform and profiled flow. Results indicate that for a uniform flow case the FSI model predicted the turbine power coefficient C P with an error of 4.8% when compared with experimental data. For the rigid blade Reynolds Averaged Navier Stokes (RANS) CFD model this error was 9.8%. The turbine blades were subjected to uniform stress and deformation during the rotation of the turbine in a uniform flow. However, for a profiled flow the stress and deformation at the turbine blades varied with the angular position of turbine blade, resulting in a 22.1% variation in stress during a rotation cycle. This variation in stress is quite significant and can have serious implications for the fatigue life of turbine blades.

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Wave–current interaction effects on tidal stream turbine performance and loading characteristics

Cited by 53 publications

References 6 publications

Using of CFD software for setting the location of water stream micro turbines

Using of CFD software for setting the location of water stream micro turbines

Re-Creating Waves in Large Currents for Tidal Energy Applications

Fluid Structure Interaction Modelling of Tidal Turbine Performance and Structural Loads in a Velocity Shear Environment

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