Modelling the hydrodynamic and morphological impacts of a tidal stream development in Ramsey Sound

Haverson, David; Bacon, John; Smith, Helen; Venugopal, Vengatesan; Xiao, Qing

doi:10.1016/j.renene.2018.03.084

Cited by 34 publications

(30 citation statements)

References 30 publications

(12 reference statements)

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“…As underwater tidal devices extract kinetic energy, this will likely lead to hydrodynamic modification, that is, changes in water movement and turbulence (O'Doherty et al 2010;Shields et al 2011;Stallard et al 2013;Haverson et al 2018). Benthic habitats and ecosystems within tidal stream environments are most likely to be affected by changes in water circulation, currents, and the structure of the habitat itself as they are adapted to strong currents (Gómez-Gutiérrez and Robinson 2006;Neill et al 2009;Boehlert and Gill 2010;Miller et al 2013;Robins, Neill, and Lewis 2014;Bicknell et al 2019;Dannheim et al 2019).…”

Section: Displacement Effectsmentioning

confidence: 99%

Assessing the effects of tidal stream marine renewable energy on seabirds: A conceptual framework

Isaksson

Masden

Williamson

et al. 2020

Marine Pollution Bulletin

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We are at a crossroads where many nation states, including the United Kingdom of Great Britain and Northern Ireland (UK), are committing to increased electricity production from "green energy", of which tidal stream marine renewable energy is one such resource. However, many questions remain regarding the effects of tidal energy devices on marine wildlife, including seabirds, of which the UK has internationally important numbers. Guidelines are lacking on how best to use both wellestablished and novel survey methods to assess seabird use of tidal flow areas, leading to a data-rich but information poor (DRIP) situation. This review provides a conceptual framework for assessing the effects of tidal stream energy devices on seabirds, summarises current knowledge and highlights knowledge gaps. Finally, recommendations are given for how best to pursue knowledge on this topic. An overview of the tidal stream marine renewable energy seascape and seabirdsThe Intergovernmental Panel on Climate Change (IPCC) has called for a 'massive shift' toward renewable energy in light of determining unequivocal climate warming as a result of anthropogenic activity (Edenhofer et al., 2011; Intergovernmental Panel on Climate Change, 2014). Consequently, Commented [NI1]: R2: "to best pursue knowledge on this thematic" Commented [NI2R1]: I feel 'thematic' Is a bit vague so put topic instead but open to suggestions. targets for electricity production from renewable sources have been set by governing bodies: '

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Section: Displacement Effectsmentioning

confidence: 99%

Assessing the effects of tidal stream marine renewable energy on seabirds: A conceptual framework

Isaksson

Masden

Williamson

et al. 2020

Marine Pollution Bulletin

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“…Values for horizontal velocity diffusivity (m 2 s −1 ) applicable to coastal applications are difficult to source, although values of between 0.1 and 50 are suggested for fluvial environments [39]. Haverson et al [40,41] use the CV TCS and apply coefficient values of 10 and 10 −6 , respectively, whereas Fallon et al [42] use a value of 1.…”

Section: Constant Viscosity Schemementioning

confidence: 99%

The Influence of Intra-Array Wake Dynamics on Depth-Averaged Kinetic Tidal Turbine Energy Extraction Simulations

et al. 2018

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Assessing the tidal stream energy resource, its intermittency and likely environmental feedbacks due to energy extraction, relies on the ability to accurately represent kinetic losses in ocean models. Energy conversion has often been implemented in ocean models with enhanced turbine stress terms formulated using an array-averaging approach, rather than implementing extraction at device-scale. In depth-averaged models, an additional drag term in the momentum equations is usually applied. However, such array-averaging simulations neglect intra-array device wake interactions, providing unrealistic energy extraction dynamics. Any induced simulation error will increase with array size. For this study, an idealized channel is discretized at sub 10 m resolution, resolving individual device wake profiles of tidal turbines in the domain. Sensitivity analysis is conducted on the applied turbulence closure scheme, validating results against published data from empirical scaled turbine studies. We test the fine scale model performance of several mesh densities, which produce a centerline velocity wake deficit accuracy (R2) of 0.58–0.69 (RMSE = 7.16–8.28%) using a k-Ɛ turbulence closure scheme. Various array configurations at device scale are simulated and compared with an equivalent array-averaging approach by analyzing channel flux differential. Parametrization of array-averaging energy extraction techniques can misrepresent simulated energy transfer and removal. The potential peak error in channel flux exceeds 0.5% when the number of turbines nTECs ≈ 25 devices. This error exceeds 2% when simulating commercial-scale turbine array farms (i.e., >100 devices).

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“…Researchers pay also attention to the environmental impacts [14][15][16][17][18][19] that big farms of marine turbines could potentially cause, such as noise, electromagnetic field production, risk of collision for animals, release of pollutants, and, above all, seabed erosion [20,21] and hydrodynamic impact [22,23]. In fact, since water tends to flow where the hydrodynamic resistance is lower, if the farm occupies almost the whole width of a channel or strait, alterations could occur in the path and speed of currents.…”

Section: Introductionmentioning

confidence: 99%

Embedding of a Blade-Element Analytical Model into the SHYFEM Marine Circulation Code to Predict the Performance of Cross-Flow Turbines

Pucci

Bellafiore

Zanforlin

et al. 2020

JMSE

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Our aim was to embed a 2D analytical model of a cross-flow tidal turbine inside the open-source SHYFEM marine circulation code. Other studies on the environmental impact of Tidal Energy Converters use marine circulation codes with simplified approaches: performance coefficients are fixed a priori regardless of the operating conditions and turbine geometrical parameters, and usually, the computational grid is so coarse that the device occupies one or few cells. In this work, a hybrid analytical computational fluid dynamic model based on Blade Element Momentum theory is implemented: since the turbine blades are not present in the grid, the flow is slowed down by means of bottom frictions applied to the seabed corresponding to forces equal and opposite to those that the blades would experience during their rotation. This simplified approach allowed reproducing the turbine behavior for both mechanical power generation and the turbine effect on the surrounding flow field. Moreover, the model was able to predict the interaction between the turbines belonging to a small cluster with hugely shorter calculation time compared to pure Computational Fluid Dynamics.

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Modelling the hydrodynamic and morphological impacts of a tidal stream development in Ramsey Sound

Cited by 34 publications

References 30 publications

Assessing the effects of tidal stream marine renewable energy on seabirds: A conceptual framework

Assessing the effects of tidal stream marine renewable energy on seabirds: A conceptual framework

The Influence of Intra-Array Wake Dynamics on Depth-Averaged Kinetic Tidal Turbine Energy Extraction Simulations

Embedding of a Blade-Element Analytical Model into the SHYFEM Marine Circulation Code to Predict the Performance of Cross-Flow Turbines

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