| RENEWABLE ENERGY | 卷:114 |
| Characteristics of the velocity profile at tidal-stream energy sites | |
| Article; Proceedings Paper | |
| Lewis, M.1,4  Neill, S. P.1  Robins, P.1,4  Hashemi, M. R.2,3  Ward, S.1,4  | |
| [1] Bangor Univ, Sch Ocean Sci, Bangor, Gwynedd, Wales | |
| [2] Rhode Isl Univ, Dept Ocean Engn, Kingston, RI USA | |
| [3] Rhode Isl Univ, Grad Sch Oceanog, Kingston, RI USA | |
| [4] Bangor Univ, Ctr Appl Marine Sci, Bangor, Gwynedd, Wales | |
| 关键词: Tidal energy; Velocity profile; Tidal turbine; ADCP; Irish Sea; | |
| DOI : 10.1016/j.renene.2017.03.096 | |
| 来源: Elsevier | |
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【 摘 要 】
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 similar to 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. (C) 2017 The Author(s). Published by Elsevier Ltd.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_renene_2017_03_096.pdf | 7290KB |
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