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研究生: 王晟桓
Wang, Sheng-Huan
論文名稱: 外罩式風力渦輪性能提升之研究
Performance Enhancement Study of Diffuser Augmented Wind Turbines
指導教授: 陳世雄
Chen, Shih-Hsiung
學位類別: 博士
Doctor
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: 226
中文關鍵詞: 外罩式風力渦輪數值模擬設計方法外罩長徑比外罩直徑比葉片數
外文關鍵詞: diffuser augmented wind turbine, numerical simulation, design method, diffuser length-diameter ratio, diffuser diameter ratio, number of blades
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  • 本研究的目的是在探討一個具有外罩的水平軸風力渦輪的設計方法,使能夠達到更高的功率輸出。研究採用數值方法來模擬不含轉子的外罩及外罩式風力渦輪(Diffuser Augmented Wind Turbine,簡稱DAWT)的定常流場,並探討外罩長徑比、外罩直徑比和葉片數對DAWT空氣動力性能的影響,且藉由流場分析完整的解釋DAWT功率大幅提升的物理現象。使用的數值計算工具為ANSYS CFX計算流體力學(Computational Fluid Dynamics,簡稱CFD)軟體,為了驗證數值計算工具的準確度,研究中首先針對美國國家可再生能源實驗室(National Renewable Energy Laboratory,簡稱NREL) Phase VI Rotor二葉片的水平軸風力渦輪(Horizontal Axis Wind Turbine,簡稱HAWT)進行計算分析,並與NREL風洞實驗的數據比較,除了在葉片表面發生氣流分離過渡時,數值模擬與實驗的結果有些微差異外,整體而言,數值模擬與實驗的結果相當吻合。
    在不含轉子的外罩的數值模擬中,以5種外罩長徑比及6種外罩直徑比組合成30種不同的物理模型進行流場分析,從流場的壓力分佈發現外罩出口產生一低壓區,氣流加速流入外罩內,並增加通過轉子位置的質流量,這是造成DAWT功率提升的主要物理機制。
    在DAWT的數值模擬中,以不含轉子的外罩和三葉片轉子組合成30種不同的物理模型進行流場分析,葉片的幾何外型與NREL Phase VI Rotor的葉片相同,其結果顯示外罩長徑比1.0和外罩直徑比2.0的DAWT,其基於轉子掃掠面積的功率係數等於0.97,為做為比較參考的無外罩風力渦輪的2.2倍,外罩長徑比0.25和外罩直徑比1.2的DAWT,其基於外罩出口面積的功率係數等於0.48,為無外罩風力渦輪的1.1倍,證實增加一適當的外罩於現有的HAWT轉子周圍可大幅提高輸出功率。從數值模擬的結果發現DAWT的最大功率係數隨軸向誘導因子變化的趨勢與一維動量理論一致。從流場的分析顯示DAWT靠近葉尖的壓力面與吸力面的壓差較大,產生的葉尖渦流強度較無外罩風力渦輪大,但DAWT的外罩對葉尖渦流的抑制效果非常顯著,因此DAWT的葉尖渦流消散較無外罩風力渦輪快。
    研究中也探討了葉片數對DAWT空氣動力性能的影響,結果顯示增加葉片數會造成氣流的阻抗增加,進而降低通過轉子的質流量,且葉片數對DAWT的阻抗效應比對HAWT來得大,但葉片數對功率係數的影響則需進一步考量葉片的幾何外型,研究結果顯示當軸向誘導因子介在0.25與0.4之間會有較佳的最大功率係數。
    本研究DAWT的數值模擬結果證實DAWT的功率係數高於HAWT,經由流場分析完整的解釋DAWT功率輸出大幅提升的物理機制,並提出一個DAWT空氣動力設計依循的方向,使能夠達到更高的功率輸出。在成本及功率係數的考量下,DAWT的外罩可選用外罩長徑比0.25和外罩直徑比1.4;在有限空間及功率係數的考量下,DAWT的外罩可選用外罩長徑比0.25~0.5和外罩直徑比1.2;若只考量功率係數DAWT的外罩可選用外罩長徑比大於等於1和外罩直徑比大於等於1.8,而在決定DAWT轉子的葉片數時,需同時考量葉片幾何外型,使得轉子操作在額定葉尖速度比時,軸向誘導因子能介在0.25與0.4之間,從研究結果可知若葉片採用較大弦長和較小槳距角分佈的設計,則轉子應採用較少的葉片數。

    The purpose of this study is to explore the design method of a horizontal axis wind turbine (HAWT) with a diffuser to increase power output. This study used numerical methods to simulate steady flow fields of diffusers with no rotor and diffuser augmented wind turbines (DAWTs), and explored the effect of diffuser length-diameter ratio, diffuser diameter ratio, and the number of blades on DAWT aerodynamic performance. Furthermore, it conducted flow field analyses to explain the physical phenomenon of considerable enhancement of DAWT power. The numerical tool used in this study was ANSYS CFX computational fluid dynamics (CFD) software. To verify the accuracy of the numerical tool, this study first calculated and analyzed the Phase VI Rotor two-bladed HAWT of the U. S National Renewable Energy Laboratory (NREL), and compared the results with the NREL wind tunnel experimental data. Overall, the numerical simulation results and experimental data were consistent, except for slight differences for the laminar-turbulent transition on the suction side of the blade.
    In the numerical simulation of diffusers with no rotor, this study analyzed the flow field using 30 different physical models, consisting of 5 diffuser length-diameter ratios and 6 diffuser diameter ratios. The flow field analysis found that, the main physical mechanism causing the enhancement of DAWT power is the low pressure area of the diffuser. When the airflow is accelerated into the diffuser, the mass flowing through the rotor plane is increased.
    In the DAWTs numerical simulation, the flow field analysis used 30 physical models, consisting of 30 different diffusers with no rotor and a three-bladed rotor. The blade geometry was the same as the NREL Phase VI Rotor blade. The numerical results showed that DAWT (diffuser length-diameter ratio=1.0,diffuser diameter ratio=2.0) has the maximum power coefficient based on the rotor sweep area of 0.97, which was 2.2 times of HAWT (Baseline). DAWT (diffuser length-diameter ratio=0.25,diffuser diameter ratio=1.2) has the maximum power coefficient based on the diffuser exit area of 0.48, which as 1.1 times of HAWT (Baseline). The above results confirmed that placing an appropriate diffuser around the current HAWT rotor could considerably enhance power output. Moreover, the trend of the maximum power coefficient changing with the axial induction factor and the trend of the momentum theoretical analysis were consistent. Flow field analysis suggested that the pressure difference between the pressure side and the suction side near the blade tip of DAWT was relatively greater, thus, the resulting blade tip vorticity was greater than that of wind turbines with no diffuser. However, the diffuser had a very significant suppressing effect on the blade tip vortex, thus, the DAWT blade tip vortex dissipation was faster than that for wind turbines with no diffuser.
    This study also explored the effect of the number of blades on DAWT aerodynamic performance, and found that the increasing number of blades caused increased airflow resistance, thereby reducing the mass flowing through the rotor. Moreover, the blockage effect of the number of blades on DAWT was greater than that of HAWT; however, the effect of the number of blades on the power coefficient required further consideration of the blade geometry. According to the research findings, when the axial induction factor was between 0.25 and 0.4, the maximum power coefficient was better.
    The results of DAWTs numerical simulation confirmed that the power coefficient of DAWT was higher than that of HAWT. The flow field analysis fully explained the physical mechanism causing the considerable enhancement of DAWT power output. Finally, this study proposed a direction for the aerodynamic design of DAWT to increase power output. With considerations of cost and power coefficients, the DAWT diffuser should have diffuser length-diameter ratio=0.25 and diffuser diameter ratio=1.4, and with consideration of limited space and the power coefficient, the DAWT diffuser should have diffuser length-diameter ratio=0.25–0.5 and diffuser diameter ratio=1.2. When considering only the power coefficient, the DAWT diffuser should have diffuser length-diameter ratio >=1.0 and diffuser diameter ratio=>=1.8. When determining the number of blades of a DAWT rotor, the blade geometry should be simultaneously considered. As a result, when the rotor is operated at the rated tip speed ratio, the axial induction factor is in the range of 0.25–0.4. If the blade has a geometric design with a large chord length distribution and a small pitch angle distribution, the rotor should use a fewer number of blades.

    ABSTRACT IN CHINESE i ABSTRACT x ACKNOWLEGEMENT xiii CONTENTS xiv LIST OF TABLES xvii LIST OF FIGURES xviii NOMENCLATURE xxviii CHAPTER I INTRODUCTION 1 1.1 Background 1 1.2 Literature Review 5 1.3 Motivation 21 CHAPTER II THEORETICAL ANALYSIS 23 2.1 One-dimension Momentum Theory for a HAWT 23 2.2 One-dimension Momentum Theory for a DAWT 27 2.2.1 Diffuser with No Rotor (No-load Condition) 27 2.2.2 Diffuser with a Rotor (Load Condition) 30 CHAPTER III NUMERICAL METHOD 37 3.1 Governing Equations 37 3.2 Turbulence Model 39 3.3 Numerical Method 42 3.3.1 Control Volume 43 3.3.2 Treatment of Pressure and Diffusion Terms 45 3.3.3 Calculation of the Numerical Flux 46 3.4 Pressure-velocity Coupling Algorithm on Non-staggered Grid 47 3.5 Matrix Solving 48 CHAPTER IV PHYSICAL MODEL AND GRID GENERATION 50 4.1 Physical Model 50 4.1.1 NREL Phase VI Rotor (HAWT) 50 4.1.2 Diffusers with No Rotor 52 4.1.3 Diffusers with a Rotor (DAWTs) 53 4.1.4 DAWTs with Different Number of Blades 53 4.2 Boundary Conditions 55 4.2.1 NREL Phase VI Rotor (HAWT) 55 4.2.2 Diffusers with No Rotor 55 4.2.3 Diffusers with a Rotor (DAWTs) 56 4.2.4 DAWTs with Different Number of Blades 56 CHAPTER V RESULTS AND DISCUSSION 57 5.1 NREL Phase VI Rotor (HAWT) 57 5.1.1 Numerical Results 58 5.1.2 Flow Field Analysis 59 5.2 Diffusers with No Rotor 61 5.2.1 Flow Field Analysis 62 5.2.2 Numerical Results 65 5.3 Diffusers with a Rotor (DAWTs) 69 5.3.1 Numerical Results 70 5.3.2 Flow Field Analysis 78 5.4 Effect of the Number of Blades for a DAWT 89 5.4.1 Same Blade Geometry 90 5.4.2 Same Diffuser Geometry 94 CHAPTER VI CONCLUSION AND FUTURE WORK 99 REFERENCES 106 APPENDIX A 117 APPENDIX B 123 TABLES 125 FIGURES 130 PUBLICATION LIST 223 VITA 226

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