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Fluctuating loads on a tidal turbine due to velocity shear and turbulence: Comparison of CFD with field data

机译:由于速度剪切和湍流,潮汐涡轮机上的载荷波动:CFD与现场数据的比较

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Fluctuating loads on tidal turbines are important for fatigue analysis and there is limited information or simulation available for full-scale conditions. Here, CFD simulations have been performed for a geometry-resolved full-scale tidal-stream turbine and compared with experimental data from a 1 MW machine deployed at the EMEC test site. Initially, Reynolds-averaged Navier-Stokes (RANS) and large eddy simulations (LES) were performed using an inflow mean velocity profile representative of the site but low inflow turbulence. Mean blade pressures were similar for the two types of turbulence closure and yielded mean power coefficients comparable with measurements. Then, to simulate the effect of turbulence on loads, LES with synthetic turbulence prescribed at inlet was employed. For these simulations, inflow profiles of mean velocity, Reynolds stresses and length scales were determined from a precursor channel-flow simulation, with additional factoring of stresses and length scales to match hub-height conditions measured on site. Fluctuations in thrust, power and blade bending moment arise cyclically from onset mean velocity shear and the blocking effect of the support tower and over continuous spectral ranges from blade-generated turbulence, approach-flow turbulence and waves. LES simulations with realistic inflow turbulence satisfactorily reproduced the relative spectral distribution of blade bending moments in low-wave conditions. (C) 2017 Elsevier Ltd. All rights reserved.
机译:潮汐涡轮机上的波动载荷对于疲劳分析很重要,并且在满量程条件下可用的信息或模拟有限。在这里,已经对几何解析的全尺寸潮汐流涡轮机进行了CFD仿真,并将其与EMEC测试现场部署的1 MW机器的实验数据进行了比较。最初,使用代表该位置但低湍流的入流平均速度剖面进行雷诺平均纳维-斯托克斯(RANS)和大涡模拟(LES)。两种湍流闭合的平均叶片压力相似,并且产生的平均功率系数与测量值相当。然后,为了模拟湍流对负荷的影响,采用了入口处规定了合成湍流的LES。对于这些模拟,根据前体通道流模拟确定平均速度,雷诺应力和长度尺度的流入曲线,并附加应力和长度尺度的因素以匹配现场测量的轮毂高度条件。推力,功率和叶片弯曲力矩的波动是周期性地由初始平均速度剪切和支撑塔的阻滞作用引起的,并且在叶片产生的湍流,进场湍流和波浪的连续光谱范围内产生。用现实的入流湍流进行的LES模拟令人满意地再现了低波条件下叶片弯曲力矩的相对光谱分布。 (C)2017 Elsevier Ltd.保留所有权利。

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