阿联酋风力涡轮机性能预测使用风洞翼型数据

Chenkai Zhang, Jun Hu
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引用次数: 8

摘要

风力机的气动性能预测对风力机的设计和优化至关重要。鉴于边界元法速度快且应用广泛,本文采用NREL的WT_Perf软件对NREL六期逆风风力机进行了性能预测。NREL/NASA艾姆斯风洞试验第六阶段的测量结果用于验证预测。当数据选择改变时,性能预测会有很大的变化。三维旋转失速延迟也应考虑在预测。最后得到的预测方法与实验结果吻合较好。由于其精度高、制造简单,可广泛应用于风力机优化设计的未来研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The UAE wind turbine performance prediction using wind tunnel airfoil data
It's vitally important for wind turbine aerodynamic performance predictions to design and optimize wind turbines. In view of the BEM method's fast speed and widespread use, this paper applies WT_Perf software of NREL to predict the performance on a NREL Phase VI upwind wind turbine. Measurements from the Phase VI of the NREL/NASA Ames wind tunnel test were used for validating the predictions. Performance predictions will vary greatly when data selection changes. Also three-dimensional rotational stall delay should be accounted for in the predictions. The final obtained prediction methods show good agreement with the experiments. Because of their accuracy and straightforward manufacturing, derived methods can be widely used in wind turbine optimization and design of the future research.
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