考虑尾流相互作用和通道阻塞效应的跨流涡轮性能预测的调谐驱动缸方法

Michael Shives , Curran Crawford , Shane Grovue
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引用次数: 13

摘要

本文提出了一种预测具有尾流相互作用和通道阻塞效应的跨流潮汐/河流水轮机输出功率的实用方法。在涡轮电场中,每个转子产生的功率取决于局部速度的立方,而局部速度受底部拓扑结构、其他涡轮机的尾迹以及限制尾迹扩展的有限通道横截面积的影响。因此,功率预测的准确性在很大程度上取决于旋翼尾迹的正确建模和渠道/河流边界的影响。这对于潮汐和河流动力涡轮发电行业来说是一个关键问题,因为预测发电量的最佳实践尚未建立,而项目收入流主要是发电量的函数。本文介绍了一种基于仿真的方法,以适度的计算费用来预测单个涡轮机和整个农场的功率输出,称为调谐致动器缸法(TACA)。在模拟中,转子被表示为动量汇项,在其直径上使用大约21个元素,允许非常快速地模拟多个转子。该模型经过调整,以匹配已知的(来自实验或高保真的叶片分辨模拟)特定涡轮在已知流入条件下的推力和功率运行曲线。一旦调整,TACA模型可以应用于广泛的涡轮阵列配置和任意流动环境。因此,TACA是案例研究和/或优化现实世界潮汐/河流能源站点涡轮机阵列布局的合适工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A tuned actuator cylinder approach for predicting cross-flow turbine performance with wake interaction and channel blockage effects

This article presents a practical method for predicting the power output of cross-flow tidal/river turbines with wake interaction and channel blockage effects. In a turbine farm, the power generated by each rotor depends on the cube of the local velocity, which is influenced by the bottom topology, by other turbines’ wakes and also by finite channel cross sectional areas restricting wake expansion. Therefore, the accuracy of power predictions depends strongly on proper modelling of rotor wakes and the influence of the channel/river boundaries. This is a critical issue for the tidal and river kinetic turbine power industries because best practise for predicting energy yield has yet to be established, while project revenue streams are primarily a function of yield.

This article introduces a simulation-based method to predict individual turbine and total farm power output with modest computational expense, named the tuned actuator cylinder approach (TACA). Rotors are represented in the simulations as momentum sink terms, using approximately 21 elements across their diameter, allowing for very fast simulations of multiple rotors. The model is tuned to match known (from experiments or high-fidelity blade-resolved simulation) thrust and power operational profiles for a particular turbine, with known inflow conditions. Once tuned, the TACA model can be applied to a wide range of turbine array configurations, and arbitrary flow environments. Thus, TACA is an appropriate tool for case-studies and/or optimization of turbine array layout at real-world tidal/river energy sites.

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