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A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves

机译:风力发电海浪影响下的潮汐能站点湍流的综合评估

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Velocity measurements collected by an upward-looking acoustic Doppler current profiler were used to provide the first study of ambient turbulence in Alderney Race. Turbulence metrics were estimated at mid-depth during peak flooding and ebbing tidal conditions. The dissipation rate e and the integral lengthscale (I) were estimated using two independent methods: the spectral method and the structure function method. The spectral method provided e and (I) estimates with standard deviations twice lower than that obtained from the structure function method. Removal of wave and Doppler noise-induced bias when estimating the dissipation rate was shown to be a crucial step in turbulence characterization. It allowed for a significant refining in (I) estimates derived from the spectral and structure function methods of 35% and 20% respectively. The integral lengthscale was found to be 2—3 times the local water depth. It is considered that these findings could be valuable for current turbine designers, helping them optimizing their designs as well as improving loading prediction through the lifetime of the machines.
机译:由向上看的声学多普勒电流剖面仪收集的速度测量值用于提供奥尔德尼种族赛中环境湍流的首次研究。在洪峰泛滥和潮汐条件消退期间,在中深度估计了湍流度。耗散率e和积分长度尺度(I)是使用两种独立的方法估算的:光谱法和结构函数法。光谱方法提供的e和(I)估计的标准偏差比从结构函数方法获得的标准偏差低两倍。在估计耗散率时,消除波和多普勒噪声引起的偏差是湍流表征中至关重要的一步。它允许对光谱和结构函数方法分别得出的35%和20%的估计进行重大改进。发现积分长度标尺是当地水深的2-3倍。可以认为,这些发现对于当前的涡轮设计者而言可能是有价值的,它们可以帮助他们优化设计并在整个机器寿命期内改善负荷预测。

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