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风电变流技术 ★ 5.0

仿生风力涡轮机效率的静态空气动力学分析:基于婆罗洲樟树种子叶片设计及其平行板排列的建模

Static aerodynamic analysis of bio-inspired wind turbine efficiency: Modeling Borneo camphor seed blade designs and their parallel plate arrangements

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中文摘要

摘要 受婆罗洲樟树种子旋转下落方式的启发,本研究采用其具有弯度的翼型截面进行涡轮叶片设计,并通过计算流体动力学模拟来预测功率与扭矩。在第一阶段,对五种类型的种子翼型在不同折叠轴位置和折叠角度配置下进行建模。结果表明,3号翼型表现出最高的峰值功率系数(0.4328)和扭矩(2.1310 Nm),因此被选为第二阶段的研究对象。第二阶段设计了具有不同折叠数量以及不同折叠轴位置和折叠角度的平板叶片,以低成本方式实现种子的天然几何结构。结果表明,四折构型达到了较高的峰值功率系数0.3637,双折构型紧随其后,为0.3510,性能差异极小。这表明随着折叠数量的增加,峰值功率系数趋于收敛至一个最大值。因此,双折设计成为此类仿生风力涡轮机一种实用且成本效益高的选择。第一阶段与第二阶段的研究结果表明,无论是具有弯度的翼型还是平板式的仿生模型,在风力涡轮机行业中均具备可行性与竞争力。

English Abstract

Abstract Inspired by the rotating descent of the Borneo camphor seed, this study employs its cambered wing sections for turbine blade design, modeled using computational fluid dynamics simulations to predict power and torque. In phase one, five types of seed’s wings are modeled under varying fold axis and fold angle configurations. The results identify that wing type 3 exhibits the highest peak power coefficient (0.4328) and torque (2.1310 Nm), leading to its selection for phase two. This phase involves designing flat-plate blade counterparts with varying fold numbers and different levels of fold axis and fold angle to implement the seed’s natural geometry in a cost-effective manner. The results demonstrate that the four-fold configuration achieved a high peak power coefficient of 0.3637, closely followed by the two-fold configuration at 0.3510, indicating a minimal performance difference. This indicates that the increase of fold numbers makes peak power coefficient converge to a maximum value. The two-folds design, therefore, emerges as a practical, cost-efficient option for such bio-inspired wind turbines. The findings of phase one and phase two indicate that both cambered and flat-plate biomimetic models are viable and competitive in the wind turbine industry.
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SunView 深度解读

该仿生叶片气动优化研究对阳光电源风电变流器产品具有重要参考价值。研究中折叠板设计实现0.3637功率系数,扭矩波动特性为我司风电变流器的MPPT算法优化、扭矩脉动抑制控制策略提供新思路。仿生叶片的非线性功率输出特性可结合我司三电平拓扑技术和先进控制算法,提升低风速段发电效率。该成果可应用于风储一体化系统,配合ST系列PCS实现更平滑的功率输出,并为iSolarCloud平台的风机性能预测模型提供仿生设计维度的数据支撑。