一个增强和验证的水平轴潮汐涡轮机性能和空化预测模型

N. Kaufmann , T.H. Carolus , R. Starzmann
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引用次数: 18

摘要

潮汐能代表了未来能源组合中一种很有前途的资源。为了控制潮流,人们研究了自由流水平轴水轮机多年。其作用物理与水平轴风力机非常相似,附加了空化现象,导致性能降低、流致噪声和对涡轮叶片及下游结构的严重破坏。本文提出了一种改进的半解析模型,可以预测水平轴潮汐涡轮机的性能特征,包括空化的开始。一个核心部分是众所周知的桨叶单元动量理论,该理论由水翼截面升力和阻力作为雷诺数和攻角、涡轮推力系数、叶片轮毂和叶尖损失和空化的函数的各种子模型加以细化。并与两台不同型号风机的综合试验数据进行了对比验证。在较宽的工作范围和不同的进流速度下,预测的功率和推力系数特性与实验结果吻合较好。差异仅在低叶尖速比下观察到,其中叶片的主要部分在失速条件下运行。预测的临界空化数略大于实测值,即预测是保守的。总的来说,所开发的半解析模型似乎是如此快速、准确和稳健,以至于它可以集成到未来优化潮汐涡轮机的工作流程中。
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An enhanced and validated performance and cavitation prediction model for horizontal axis tidal turbines

Tidal energy represents a promising resource for the future energy mix. For harnessing tidal currents free stream horizontal axis turbines have been investigated for some years. The acting physics is very similar to the one of horizontal axis wind turbines, with the additional phenomenon of cavitation, which causes performance reduction, flow induced noise and severe damages to the turbine blade and downstream structures.

The paper presents an enhanced semi-analytical model that allows the prediction of the performance characteristics including cavitation inception of horizontal axis tidal turbines. A central component is the well-known blade element momentum theory which is refined by various submodels for hydrofoil section lift and drag as a function Reynolds number and angle of attack, turbine thrust coefficient, blade hub and tip losses and cavitation. Moreover, the model is validated by comparison with comprehensive experimental data from two different turbines.

Predicted power and thrust coefficient characteristics were found to agree well with the experimental results for a wide operational range and different inflow velocities. Discrepancies were observed only at low tip speed ratios where major parts of the blades operate under stall conditions. The predicted critical cavitation number is somewhat larger than the measured, i.e. the prediction is conservative. As an overall conclusion the semi-analytical model developed seems to be so fast, accurate and robust that it can be integrated in a future workflow for optimizing tidal turbines.

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