Analytical wake model of tidal current turbine
Analytical wake model of tidal current turbine
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DOI：
10.1016/j.energy.2014.11.047
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发表时间：
2015
期刊：
影响因子：
9
通讯作者：
W. Lam;Long Chen;R. Hashim
中科院分区：
文献类型：
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作者：
W. Lam;Long Chen;R. Hashim
尾流结构的预测对于了解潮流水轮机的背风流是非常重要的。所提出的解析尾流模型由若干由船舶螺旋桨射流理论推导而来的方程组成。利用轴向动量理论预测背风尾流直接平面上的最小速度，然后利用所提出的恢复方程确定沿旋转轴各横截面上的最小速度。采用高斯概率分布预测尾流横向截面的速度分布。通过计算射流方程、恢复方程和横向分布方程，可以描述整个尾流。作者在前人的工作中提出了一种简化的单点速度剖面，并将其推广到考虑轮毂效应的双点速度剖面的预测。采用公认的实验测量和拟合优度检验对尾流模型进行了验证。结果表明，尾流模型能够预测TI（湍流强度）= 3%、5%、8%和15%等不同环境湍流条件下的尾流剖面。
Prediction of the wake structure is important to understand the lee flow of a tidal current turbine. The proposed analytical wake model consists of several equations derived from the theoretical works of a ship propeller jet. Axial momentum theory was used to predict the minimum velocity at the immediate plane of the lee wake and followed by the proposed recovery equation to determine the minimum velocity at various lateral sections along the rotation axis. Gaussian probability distribution was used to predict the velocity distribution of lateral sections in a wake. Entire wake is able to be illustrated through the calculation of the efflux equation, recovery equation and lateral distribution equations. Authors' previous works proposed a simplified one-dipped velocity profile and this works were being extended to predict the two-dipped velocity profile with the consideration of hub effects. The wake model is validated by using the well-accepted experimental measurements and the goodness-of-fit test. The results demonstrated that the wake model is able to predict the wake profile under various ambient turbulence conditions of TI (turbulence intensity) = 3%, 5%, 8% and 15%.