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Modelling tidal current turbine wakes using a coupled RANS-BEMT approach as a tool for analysing power capture of arrays of turbines

机译:使用耦合RaNs-BEmT方法模拟潮流涡轮机尾流作为分析涡轮机阵列的功率捕获的工具

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摘要

The downstream evolution of the wake generated by a rotating tidal energy conversion device influences the performance of the device itself as well as the performance of any downstream device. An improved method is proposed for coupling a blade element momentum theory inner solution for a horizontal axis tidal turbine with an outer domain flow solved using a commercial finite volume computational Fluid Dynamics solver. A mesh sensitivity study is carried out and shows that for wake evolution of distance 10 diameters a high resolution mesh (>10M cells) is required. The importance of swirl is shown in retarding the wake spreading and that the inclusion of a suitable\udturbulence intensity term is also required to capture the spread of the near wake. A final section demonstrates the use of such a technique for analysing the energy capture of an array of multiple turbines distributed over 1km2 of seabed. The use of staggered lateral position between longitudinal arrays demonstrates a potential for more effective power capture.\ud
机译:旋转潮汐能转换设备产生的尾流的下游演变影响设备本身的性能以及任何下游设备的性能。提出了一种改进的方法,用于将水平轴潮汐涡轮机的叶片单元动量理论内解与使用商业有限体积计算流体动力学求解器求解的外域流耦合。进行了网格敏感性研究,结果表明,对于距离10直径的尾迹演化,需要高分辨率的网格(> 10M像元)。旋流的重要性在延缓尾流扩散方面表现出来,并且还需要包含适当的\湍流强度项来捕获近尾流的扩散。最后一部分演示了使用这种技术来分析分布在1平方公里海底的多个涡轮机阵列的能量捕获。在纵向阵列之间使用交错的横向位置展示了更有效地捕获功率的潜力。

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