Numerical study of the turbulent eddies generated by the seabed roughness. Case study at a tidal power site

Mercier, Philippe; Grondeau, Mikaël; Guillou, Sylvain; Thiebot, Jérôme; Poizot, Emmanuel

doi:10.1016/j.apor.2020.102082

Cited by 24 publications

(25 citation statements)

References 40 publications

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“…Developments are likely to arise in this field. Indeed, the Large Eddy Simulations of Mercier et al [34] and Bourgoin et al [31] agreed well with the turbulence measurements acquired in the AR. Their work using LES also paved the way to a better understanding of the dynamics of the largest eddies that may impact the tidal turbines deployed in the AR.…”

Section: Discussionsupporting

confidence: 77%

“…The results showed that the LBM-LES model was able to satisfactorily simulate the turbulence characteristics at a particular time of the tide (their study focused on the peak flood). In Mercier et al [34], the agreement with all components of the velocity variance was remarkable. This LBM-LES model enabled insight to be gained into the dynamics of eddies that are triggered by the macro-roughnesses of the seabed (big rocks, rapid change of seabed elevation, etc).…”

Section: Turbulence Characterisationmentioning

confidence: 84%

“…After different validation steps [32], Bourgoin [30,31] simulated the hydrodynamics of the AR with a Telemac3D model, which captured the tidal dynamics over a 100 km x 100 km zone with a RANS approach and switched to the LES formulation in a 3 km x 3 km zone located in the AR, with minimum cell size of 5 m. Although their predictions of turbulent intensity were still underestimated (especially in the upper part of the water column), the use of LES resulted in more reliable turbulence estimates than the RANS approach. Mercier et al [33,34] also used LES to characterise the turbulence of the AR. Complementing [30,31], they focused on a smaller domain and used a much finer spatial resolution (minimum cell size of 0.25 m).…”

Section: Turbulence Characterisationmentioning

confidence: 99%

“…Indeed, a high mesh size resolution is required to obtain mesh convergence and to resolve the targeted part of the turbulence spectrum. For instance, the model of Mercier et al [34] required 25,000h.CPU to simulate 20 minutes of tidal flow. The model of Bourgoin et al [31], which used a coarser mesh but covered a larger domain and a longer period of time, required comparable computational resource (of the order of 100,000h.CPU).…”

Section: Turbulence Characterisationmentioning

confidence: 99%

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Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review

Thiebot

Coles

Bennis

et al. 2020

Phil. Trans. R. Soc. A.

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The tides are a predictable, renewable, source of energy that, if harnessed, can provide significant levels of electricity generation. The Alderney Race (AR), with current speeds that exceed 5 m s −1 during spring tides, is one of the most concentrated regions of tidal energy in the world, with the upper-bound resource estimated at 5.1 GW. Owing to its significance, the AR is frequently used for model case studies of tidal energy conversion, and here we review these model applications and outcomes. We examine a range of temporal and spatial modelling scales, from regional models applied to resource assessment and characterization, to more detailed models that include energy extraction and array optimization. We also examine a range of physical processes that influence the tidal energy resource, including the role of waves and turbulence in tidal energy resource assessment and loadings on turbines. The review discusses model validation, and covers a range of numerical modelling approaches, from two-dimensional to three-dimensional tidal models, two-way coupled wave-tide models, Large Eddy Simulation (LES) models, and the application of optimization techniques. The review contains guidance on model approaches and sources of data that can be used for future studies of the AR, or translated to other tidal energy regions. This article is part of the theme issue ‘New insights on tidal dynamics and tidal energy harvesting in the Alderney Race’.

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Section: Discussionsupporting

confidence: 77%

Section: Turbulence Characterisationmentioning

confidence: 84%

Section: Turbulence Characterisationmentioning

confidence: 99%

Section: Turbulence Characterisationmentioning

confidence: 99%

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Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review

Thiebot

Coles

Bennis

et al. 2020

Phil. Trans. R. Soc. A.

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“…The complexity of local hydrodynamics and the interaction between the highly irregular bottom topography [15], powerful tidal stream and high waves was highlighted in a number of numerical studies devoted to this geographic area (e.g. [16][17][18]). This was also supported by an observationbased study [6].…”

Section: Introductionmentioning

confidence: 99%

One year of measurements in Alderney Race: preliminary results from database analysis

Furgerot¹,

Sentchev

Bois³

et al. 2020

Phil. Trans. R. Soc. A.

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The Alderney Race is assumed to have the largest tidal-stream energy potential in the north-western European coastal seas. Interaction of the powerful tidal stream with strong wind, high waves and irregular bathymetry creates hydrodynamic conditions of extreme complexity, with high levels of turbulence. A comprehensive dataset has been created to improve the understanding of physical processes, turbulence, tidal stream and resource variability at the site. The database contains a large amount of oceanographic and meteorological measurements acquired in Alderney Race in 2017–2018. This exceptionally long period of observations (nearly one year) became possible due to modern tools and strategies of data acquisition. The paper presents some significant results from the database analysis. Among many results, we would like to underline the following: (i) a wide range of variability of mean flow and sea state parameters was documented; (ii) exceptionally large values of current velocity (7 m s −1 ) and significant wave height (8 m) were measured during extreme meteorological conditions; (iii) high-frequency variability of current speed during storm events was also found to be very large, with the standard deviation of velocity reaching 0.3 m s −1 in the bottom boundary layer, and 0.6 m s −1 in the surface layer; and (iv) predominant wind and wave direction relative to the flow impacts the wave height and significantly increases the turbulence kinetic energy of the flow. To our knowledge, this is the largest multi-variable database available on potential tidal energy sites. The results of database analysis can represent a significant advance in environmental conditions and resource characterization and provide advanced information to turbine developers. This article is part of the theme issue ‘New insights on tidal dynamics and tidal energy harvesting in the Alderney Race’.

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Implementation of Savonius Blad Wind Tree Structure by Super Lift Luo Converter for Smart Grid Applications and Benefits to Smart City

Joseph

Mary

Josh

et al. 2023

Smart Grids for Smart Cities Volume 1

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Numerical study of the turbulent eddies generated by the seabed roughness. Case study at a tidal power site

Cited by 24 publications

References 40 publications

Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review

Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review

One year of measurements in Alderney Race: preliminary results from database analysis

Implementation of Savonius Blad Wind Tree Structure by Super Lift Luo Converter for Smart Grid Applications and Benefits to Smart City

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