Renewable Energy · 2017 · 131 citations · 44 references
Natural SciencesEarth SciencesOceanographyOcean ModelingOcean WavesPhysical OceanographyMarine Energy Device HydrodynamicsMarine Energy Site CharacterizationOcean Energy SystemsTidal DynamicsTidal EnergyTidal ModelingBed RoughnessDevice Interaction EffectsPower-law FittingPower-law ModelTidal Stream Device HydrodynamicsTidal Stream EnergyVelocity Profile AnalysisVelocity Profiles
Realistic oceanographic conditions are essential for designing resilient tidal‑stream energy devices, yet studies often rely on simplified depth‑averaged velocity profiles; fully characterizing velocity profiles requires dynamically coupled wind‑wave‑tide models or long‑term observations. The study aims to improve flow representation at tidal‑stream energy sites by characterizing the velocity profile. The authors characterized velocity profiles using >1‑month ADCP deployments fitted to a 1/7th power‑law with a 0.4 bed‑roughness coefficient, modeled temporal variability with a Generalised Extreme Value distribution, and validated the mean profile with a 3D ROMS hydrodynamic model of the Irish Sea. The 1/7th power‑law with a 0.4 bed‑roughness coefficient accurately described the average velocity profile at two tidal‑stream sites, while temporal variability—correlated with tidal, wind, and wave conditions—was best captured by a Generalised Extreme Value distribution, and the mean profile was reproduced by a 3D ROMS model.
Realistic oceanographic conditions are essential to consider in the design of resilient tidal-stream energy devices that can make meaningful contributions to global emissions targets. Depth-averaged or simplified velocity profiles are often used in studies of device performance, or device interaction with the environment. We improve representation of flow at tidal-stream energy regions by characterising the velocity profile. At two potential tidal-stream energy sites, the 1/7th power-law with a bed-roughness coefficient of 0.4 accurately described the observed velocity profile on average (>1 month ADCP deployments). Temporal variability in the power-law fit was found at both sites, and best characterised with Generalised Extreme Value distribution; with correlation of variability to tidal condition, wind speed and wave conditions found. The mean velocity profile was accurately simulated using a 3D hydrodynamic model (ROMS) of the Irish Sea (UK) but with temporal variability in accuracy of power-law fits. For all potential tidal sites, the spatial-mean velocity profile was also found to be similar (characterised with ∼1/7th power-law and 0.4 bed-roughness value). Therefore realistic flow conditions can be characterised for tidal-energy research, but dynamically coupled wind-wave-tide models, or long-term observations, are needed to fully characterise velocity profile temporal variability.
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Modelling the global ocean tides: modern insights from FES2004
Florent Lyard, Fabien Lefèvre, Thierry Letellier et al. · Ocean Dynamics · 2006 · 1.7K citations · Full text