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研究生： 李文興
Ariyarit, Atthaphon
論文名稱： 基因演算法設計垂直軸風力機葉片之最佳化
The optimization design of H-rotor vertical axis wind turbine using genetic algorithms
指導教授： 林三益
Lin, San-Yih
學位類別： 碩士
Master
系所名稱： 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年： 2013
畢業學年度： 101
語文別： 英文
論文頁數： 54
外文關鍵詞： Vertical Axis Wind Turbine, Genetic Algorithms, Computation of Fluid Dynamic
相關次數： 點閱：106  下載：9 
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    • This thesis deals with the Genetic Algorithm method to design the optimum H-rotor vertical axis wind turbine blade, which the weak point of this kind of wind turbine is the low power efficiency. Genetic Algorithm was selected to search the maximum power efficiency of the wind turbine. This algorithm is used to search the maximum power efficiency of the H-rotor vertical axis wind turbine by changing the shape of the wind turbine blade. The Genetic Algorithm code is developed and connected with ANSYS FLUENT as CFD solver by MATLAB. Two optimization problems were set to search the maximum power efficiency. In problem I, the wind turbine get the power efficiency 0.3590. In problem II, the wind turbine get the power efficiency 0.3945. The power efficiency from Problem II were more than that from Problem I 9.8%. Therefore, this thesis demonstrates that it is possible to design the H-rotor vertical axis wind turbine blade by using Genetic Algorithm combined with CFD code in ANSYS FLUENT to search the maximum power efficiency.

    ABSTRACT I ACKNOWLEDGMENT II CONTENTS III LIST OF TABLES V LIST OF FIGURES VI NOMENCLATURE VIII CHAPTER Ⅰ INTRODUCTION 1 1.1 INTRODUCTION 1 1.2 OBJECTIVE 5 1.3 THESIS OUTLINE 5 CHAPTER Ⅱ THEORY OF ANALYSIS 7 2.1 WIND TURBINE 7 2.1.1 Wind speed and tip speed ratio 7 2.1.2 Airfoil geometry parameter 9 2.2 GENETIC ALGORITHMS 11 2.2.1 Selection 12 2.2.2 Crossover 13 2.2.3 Mutation 13 2.2.4 Elitism 14 2.2.5 Algorithm of Genetic Algorithms 14 CHAPTER III NUMERICAL METHOD 18 3.1 GOVERNING EQUATION 19 3.2 TURBULENCE MODEL 21 CHAPTER IV OPTIMIZATION PROCEDURE 23 4.1GEOMETRY GENERATION 23 4.2 GRID GENERATION 26 4.3 CFD FOR WIND TURBINE AND FIRST MODEL PERFORMANCE 27 4.4 SIMULATION ALGORITHMS 30 4.4.1 The first case 31 4.4.2 The second case 34 CHAPTER V RESULTS 37 5.1 FIRST MODEL RESULTS 38 5.2 FIRST CASE RESULTS 42 5.3 SECOND CASE RESULTS 46 5.4 RESULTS COMPARISON 50 CHAPTER VI CONCLUSION 52 REFERENCES 53

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