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前缘凸缘位置对水平轴风力机性能的影响
The effects of the location of the leading-edge tubercles on the performance of horizontal axis wind turbine
语言:
中文摘要
摘要 水平轴风力机(HAWTs)在为可持续生态系统提供能源方面具有突出优势。因此,提高风力机的功率系数(CP)对于能源的高效利用至关重要。本研究通过实验方法考察了前缘(LE)凸缘位置对三叶片小型HAWT转子性能的影响。为此,开展了静态和动态条件下的实验研究,以确定小型HAWT的性能,并采用表面油流可视化技术获取三维流场信息。选取NACA 4412翼型,基于叶素动量(BEM)理论,利用Schmitz方程设计了最优叶片几何结构。实验在开式试验段的吹风式风洞中进行,针对转子三种不同的转速(300、400和500 rpm)测定了其功率系数CP。将前缘凸缘分别位于距叶尖100%、50%和25%转子半径处的三种不同构型(记为B1、B2和B3)与基准叶片进行了比较。测量结果表明,当前缘凸缘位于超过50%叶片展长区域时,能够显著提升CP值。B2在所有测试转速下均表现出最佳性能,其次为B3。B2在500 rpm时达到最高的CP值0.32,较基准叶片提升了39.1%;而在400 rpm时,B2相对于基准叶片的最大CP提升幅度达63.2%。此外,基于前缘凸缘位置的回归分析能够准确预测CP值,所建立的模型表现出较高的精度和可靠性。
English Abstract
Abstract Horizontal axis wind turbines (HAWTs) stand out in terms of providing energy for sustainable ecosystems. Therefore, increasing the power coefficient ( C P ) of wind turbines is essential for the efficient use of energy. This study experimentally examined the influence of the location of the leading edge (LE) tubercles on the performance of a three-bladed small-scale HAWT rotor. For this purpose, experimental studies were conducted to determine the performance of a small-scale HAWT under static and dynamic conditions, and information about the 3D flow field was obtained using the surface oil flow visualization technique. The NACA 4412 airfoil was selected, and the optimum blade geometry was designed using Schmitz equations based on the blade element momentum (BEM) theorem. Experiments were conducted in a blowing-type wind tunnel with an open test section for three different rpm of the rotor (300, 400, and 500) to determine the C P of the rotor. Three different configurations with LE tubercles at 100 %, 50 %, and 25 % rotor radius toward the blade tip, designated B1, B2, and B3, have been compared with the baseline blade. Measurements indicate that the LE tubercles, located over 50 % of the blade span, provide a notable enhancement in the C P . B2 exhibited the best performance at all the examined rotor speeds, followed by B3. The highest C P was 0.32 for the B2 at 500 rpm, a 39.1 % improvement over the baseline blade. Moreover, the maximum improvement in the C P was achieved by 63.2 % at 400 rpm on the B2 blade compared with the baseline blade. The C P was accurately predicted via regression analysis based on the location of the LE tubercles, and the model demonstrated high accuracy and reliability.
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SunView 深度解读
该前缘结节优化技术对阳光电源风电变流器产品具有重要参考价值。研究表明通过叶片气动优化可提升39.1%-63.2%功率系数,这启发我们在风电变流器控制策略中应充分考虑风机叶片气动特性变化。建议将此类流场优化思路应用于SG系列风电变流器的MPPT算法改进,通过精细化功率曲线建模提升发电效率。同时,该研究的回归预测模型可集成到iSolarCloud平台,实现风机性能预测性维护,为储能系统ST系列PCS的风储协同控制提供更精准的风电出力预测数据支撑。