風機葉片二維翼型氣動力最佳化分析與性能改進

Optimization Analysis and Performance Improvement of Aerodynamics for the 2D Airfoils of a Wind Turbine Blade

紀華偉(Hua-Wei Chi) ； 吳佩學(Pey-Shey Wu) ； 張顧耀(Ku-Yaw Chang) ； 吳鴻筠(Hung-Yun Wu) ； 卓岳樺(Yue-Hua Jhuo) ； 劉美伶(Mei-Ling Liu) ； 陳柏瑜(Kamiru Chen)

《科學與工程技術期刊》 8卷3期 (2012/09) Pp. 27-33

https://doi.org/10.7117/JSET.201209.0027

摘要

風力渦輪葉片之空氣動力學分析與葉片參數的最佳化設計，乃是風力發電機開發前期的關鍵技術，為提升設計的能力與方便性，本研究對葉片二維翼型建立最佳化設計方法與工具，作為三維葉片外型最佳化設計的基礎。本研究成功開發二維翼型氣動力改進方法與計算視窗介面，利用Xfoil程式與類神經網路模型作為建立氣動力資料庫與最佳化搜尋之工具。本文以Naca2412作為初始翼型作最佳化設計，分別針對升力係數（CL）最佳化或氣動力性能（CL/CD）最大化進行最佳化設計；設計變數有四，分別為翼型前緣半徑比（X1），翼型厚度與弦長比值（X2），翼型弧度（X3）以及攻角（X4）。最佳化設計前後翼型之氣動力分析也以Fluent模擬作相對比較。結果顯示在使用本研究之最佳化計算程序後，新二維翼型的空氣動力性能有明顯的提升。

關鍵字

最佳化 ； 二維翼型 ； 類神經網路 ； 氣動力

並列摘要

Aerodynamic analysis and the optimization of design parameters for wind turbine blades are important procedures in the early stages of developing wind-power generation systems. To improve the capability and design convenience, the study constructed a design tool for the aerodynamic analysis of 2D airfoils and provides computational methods for their optimization. This procedure forms the foundation for designing optimal 3D wind turbine blades.This study developed methods for improving the aerodynamic of 2D airfoils, as well as constructing window interface programs for the computation. The Xfoil program and a neural network were used to construct the aerodynamics database and to search for optimization. Two single-objective functions were tested, resulting in either the lift coefficient CL or the aerodynamic performance CL/CD. Four design variables were considered. These included the leading edge radius ratio (X1), thickness-to-chord ratio (X2), camber (X3), and the angle of attack (X4). The aerodynamics of the airfoils before and after the optimization were computed with Fluent software for relative comparisons. Results showed that the aerodynamic performance of the new airfoil that was obtained using the proposed procedure demonstrated remarkable improvement following optimization.

並列關鍵字

Optimization ； 2D airfoil ； neural network ； aerodynamics