首页> 外文期刊>Philosophical transactions of the Royal Society. Mathematical, physical, and engineering sciences >Optimization of multiple turbine arrays in a channel with tidally reversing flow by numerical modelling with adaptive mesh
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Optimization of multiple turbine arrays in a channel with tidally reversing flow by numerical modelling with adaptive mesh

机译:自适应网格数值模拟在潮汐逆流通道中优化多个涡轮机阵列

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At tidal energy sites, large arrays of hundreds of turbines will be required to generate economically significant amounts of energy. Owing to wake effects within the array, the placement of turbines within will be vital to capturing the maximum energy from the resource. This study presents preliminary results using Gerris, an adaptive mesh flow solver, to investigate the flow through four different arrays of 15 turbines each. The goal is to optimize the position of turbines within an array in an idealized channel. The turbines are represented as areas of increased bottom friction in an adaptive mesh model so that the flow and power capture in tidally reversing flow through large arrays can be studied. The effect of oscillating tides is studied, with interesting dynamics generated as the tidal current reverses direction, forcing turbulent flow through the array. The energy removed from the flow by each of the four arrays is compared over a tidal cycle. A staggered array is found to extract 54 per cent more energy than a nonstaggered array. Furthermore, an array positioned to one side of the channel is found to remove a similar amount of energy compared with an array in the centre of the channel.
机译:在潮汐能站点,将需要成百上千个涡轮机的大阵列来产生经济上大量的能量。由于阵列内的唤醒效应,在其中放置涡轮机对于从资源中获取最大能量至关重要。这项研究使用自适应网格流求解器Gerris展示了通过15个涡轮机的四个不同阵列的流动的初步结果。目标是在理想通道中优化涡轮在阵列中的位置。在自适应网格模型中,涡轮机表示为底部摩擦增加的区域,因此可以研究通过大阵列进行的潮汐逆流中的流量和功率捕获。研究了潮汐振荡的影响,并随着潮汐流反向产生了有趣的动力学,迫使湍流流过阵列。在一个潮汐周期内,比较四个阵列中每个阵列从流中去除的能量。发现交错阵列比非交错阵列多提取54%的能量。此外,发现位于通道一侧的阵列与通道中心的阵列相比去除了相似量的能量。

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