Effect of pitch angle on power and hydrodynamics of a vertical axis turbine

俯仰角 叶片节距 计算流体力学 涡轮机 航程(航空) 功率(物理) 攻角 涡轮叶片 风力发电 垂直轴风力涡轮机 海洋工程 机械 机械工程 工程类 航空航天工程 地质学 空气动力学 物理 电气工程 量子力学 地球物理学
作者
Minh Thao Nguyen,Francesco Balduzzi,Anders Goude
出处
期刊:Ocean Engineering [Elsevier BV]
卷期号:238: 109335-109335 被引量:30
标识
DOI:10.1016/j.oceaneng.2021.109335
摘要

The use of vertical-axis turbines in marine-current applications for electric energy generation is still in early developments, and one of the key factors for assessing the applicability of such technology is the power coefficient. To contribute towards the highly competitive market of renewable energy conversions, the turbine system requires good outcomes in terms of energy yield. In this scenario, one of the main challenges regarding the design process to improve the blade performance is to find the best trade-off between the maximization of the power output and the minimization of the structural loadings. In the current work, the influence of blade pitch angles on the hydrodynamics of a vertical-axis five-blade water turbine has been studied. The pitch angles from −5° to +5° were investigated using Computational Fluid Dynamics (CFD). The simulations were validated against experimental data for the power coefficient collected in a river. Overall, a good agreement was found in terms of computed power between simulations and experiments for a wide range of tip speed ratios. The CFD model was proven to be suitable for exploratory analyses and an optimized design was found, providing a 2.3% higher power coefficient by adopting a pitch angle of +2° compared to the zero-referenced pitch angle. Besides validating with the experiment, the CFD simulations were compared with the results of a vortex model. The effect of different pitch angles on the performance prediction and on the blade and turbine loadings was also discussed. It is becoming vital to develop an understanding of the complex interaction of vertical-axis turbines, especially in tidal-current areas where there is a lack of detailed experimental data.

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