研究生: |
鍾國緯 Chung, Kuo Wei |
---|---|
論文名稱: |
應用基因演算法進行水平軸風力機性能之最佳化 Optimize the performance of horizontal-axis wind turbine with adapting genetic algorithm |
指導教授: |
林昭安
Lin, Chao An |
口試委員: |
牛仰堯
黃俊誠 |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 動力機械工程學系 Department of Power Mechanical Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 英文 |
論文頁數: | 86 |
中文關鍵詞: | 最佳化 、水平軸風力發電機 、基因演算法 、貝茲曲線 、年發電量 |
外文關鍵詞: | optimization, horizontal axis wind turbine, Genetic Algorithm, Bezier Curve, annual energy production |
相關次數: | 點閱:3 下載:0 |
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本研究致力於水平軸風力發電機的最佳化設計流程,並將此流程應用於美國再生能源實驗室所開發的五兆瓦葉片上。在此流程中,Bézier Curves完成了翼型、弦長分布與扭曲角分布的參數化,二維翼型的氣動力計算採用XFOIL,並使用Tanger 和Kocurek的方法將局部攻角的氣動力係數外插至±180°,接著採用旋轉失速修正法去校正二維翼型氣動力計算的結果,最後根據不同的運作條件下的雷諾數,對阻力係數做修正。風力機的氣動力是採用FAST進行模擬,在本研究中以葉片上的翼型、扭曲角分布和弦長分布做交叉配對成為五種不同的參數組合,限制條件包含了翼型與葉形的幾何和葉片上的結構應力。結果顯示五種不同的參數組合在最佳化後都能夠得到年發電量的提升,其中全幾何為參數的問題在最佳化後得到最好的性能,其與原始葉片相比得到了2.491%的性能提升。
This study focuses on the process of wind turbine optimization and applies this process on the NREL 5MW. In the process, all of the parameterizations are done by the Bézier Curves and the 2D aerodynamic coefficients of airfoils are estimated by the XFOIL. The Tanger and Kocurek’s method is utilized to extrapolate the 2D aerodynamic coefficients. Moreover, this study also adopts the rotational stall delay correction and the drag correction to revise the 2D aerodynamic coefficients. The aerodynamics of wind turbine is simulated by FAST. This study discusses five cases. The annual energy production is served as the objective function in the process, while the control points of the twist angle distribution, the control points of chord length distribution, the control points of twist angle and chord length distribution, the control points of airfoils and control points of full geometry are served as variables separately in each case. Constraints are adopted to limit the geometry of airfoils, the shape of the blade and the structural strength of the blade. The result shows that all cases successfully increase their AEP. after the process executes. The greatest enhancement is 2.49% in the case which uses control points of full geometry as variables.
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