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研究生: 林揚鈞
Lin, Yang-Jiun
論文名稱: 固定入流與週期性入流下微型風力發電機性能與尾流特性之比較研究
Comparative Study of Miniature Turbine Performance and Wake Characteristics under Constant Inflow and Periodic Inflow
指導教授: 吳毓庭
Wu, Yu-Ting
學位類別: 碩士
Master
系所名稱: 工學院 - 工程科學系
Department of Engineering Science
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 64
中文關鍵詞: 微型風力發電機固定入流週期性入流發電效率尾流特性粒子圖像測速風洞實驗
外文關鍵詞: Miniature wind turbine, Constant inflow, Periodic inflow, Power generation efficiency, Wake characteristics, PIV, Wind tunnel experiment
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  • 本研究旨在比較固定入流與週期性入流條件下微型風力發電機的性能和尾流特性。在風力發電領域中,過去的研究主要集中在固定入流條件下的研究,然而,考慮到現實生活中風速的不穩定性,本研究將注意力轉向了週期性入流條件下的性能研究。通過風洞實驗進行了深入的研究。首先,我們調整了風機迴路中的負載電阻以改變風機的角速度,以實現不同的扭轉比(TSR)。通過分析不同TSR下的風機性能,我們得出了在特定TSR條件下達到最佳發電效率的結論。這一結果對於優化風機設計和運營具有重要意義。接下來,我們使用PIV(粒子圖像測速)技術測量了在具有最佳發電效率的TSR條件下的風機尾流。通過分析流向速度分佈、動量通量分佈和紊流強度分佈,我們對尾流特性進行了深入研究。研究結果顯示,在無因次化平均流向速度分布上,固定入流與週期性入流結果一致性良好。然而,週期性入流的動量通量與紊流強度因重疊原理會高於固定入流。當我們將因週期性入流的波所造成的影響扣除後,週期性入流能夠與固定入流達到相似的結果,這一發現對於風洞測試的準確性和可靠性具有重要意義。

    The aim of this study is to compare the performance and wake characteristics of a miniature wind turbine under constant inflow and periodic inflow conditions. In the field of wind power, previous research has mainly focused on studies conducted under constant inflow conditions. However, considering the realistic variability of wind speeds in real-life situations, this study shifts its focus towards investigating the performance under periodic inflow conditions.
    Initially, the rotational speed of the turbine was adjusted by varying the load resistance in the turbine circuit to achieve different Tip Speed Ratios (TSR). By analyzing the turbine performance at different TSR values, conclusions were drawn regarding the optimal power generation efficiency achieved under specific TSR conditions. These findings hold significant implications for the optimization of wind turbine design and operation.
    Subsequently, we employed Particle Image Velocimetry (PIV) technology to examine the wake dynamics of the wind turbine under conditions that corresponded to the optimal TSR for power generation. An in-depth investigation of wake characteristics was conducted by analyzing the distributions of streamwise velocity, momentum flux, and streamwise turbulence intensity. The findings revealed that under normalized mean streamwise velocity distributions, the outcomes of constant and periodic inflow conditions exhibited a significant degree of consistency. However, the momentum flux and streamwise turbulence intensity in periodic inflow exceeded those in fixed inflow due to the principle of superposition. Notably, when we subtracted the effects caused by the oscillations of the periodic inflow, the outcomes of the periodic inflow closely mirrored those of the fixed inflow. This crucial finding significantly enhances the accuracy and reliability of wind tunnel tests by demonstrating that comparable results can be obtained under periodic and constant inflow conditions once the wave-induced effects are properly accounted for.

    摘要 I ABSTRACT II 誌謝 IV CONTENTS V LIST OF TABLE VIII LIST OF FIGURE IX NOMENCLATURE XII CHAPTER I INTERODUCTION 1 1-1 Preface 1 1-2 Literature Review 4 1-2-1 Investigation of Wind Turbine Wake 4 1-2-2 Application of Scale Models in Wind Tunnel Experiments 5 1-2-3 Measurement Methods for Wind Tunnel Experiments 7 CHAPTER II EXPERIMENT EQUIPMENT 9 2-1 Wind tunnel 9 2-1-1 Contraction section 9 2-1-2 Test section 10 2-1-3 Power system 10 2-2 Miniature Wind Turbine Model 14 2-3 Laser Tachometer 16 2-4 Data Acquisition Device 17 2-5 Particle image velocimetry (PIV) 18 2-5-1 Laser 18 2-5-2 Optical lens system 19 2-5-3 Particle generator 20 2-5-4 PIV camera 21 2-5-5 Signal Synchronization Device 22 CHAPTER III RESERCH METHODOLOGY & EXPERIMENTAL PROCEDURE 23 3-1 Wind Turbine Performance Analysis 23 3-2 Particle Image Velocimetry, PIV 25 3-2-1 Magnification Factor 25 3-2-2 Interrogation Window 26 3-2-3 Moving Window 27 3-2-4 Cross-Correlation 28 3-3 Experimental Process 30 3-3-1 Measurement of Wind Turbine Blade Performance 30 3-3-2 Preparatory Work for PIV Experiment 30 CHAPTER IV RESULTS & DISCUSSION 36 4-1 Comprehensive Performance Analysis of a Miniature Wind Turbine Under Varying Resistances 36 4-1-1 Influence of Resistance on Turbine's Angular Velocity and Current Distribution 36 4-1-2 Discrepancy Analysis between Instantaneous and Average Power Coefficients under Varied Resistances and TSR Conditions 41 4-1-3 Exploring Angular Velocity and Power Coefficient Relationships via Regression Analysis and Curve Fitting 45 4-2 Wake Analysis of Miniature Wind Turbine 48 4-2-1 Normalized Streamwise Velocity 48 4-2-2 Velocity Fluctuation 51 4-2-3 Momentum Flux 53 4-2-4 Streamwise Turbulence Intensity 56 CHAPTER V CONCLUSION 60 Reference 62

    [1] Ember, “Global Electricity Review 2023,” 12 4 2023.
    [2] R. Secretariat, “Global Status Report,” p. 26, 2023.
    [3] R. Secretariat, “Global Status Report,” p. 77~82, 2023.
    [4] 4. Offshore, “Global Offshore Wind Speeds Ranking”.
    [5] L.J. Vermeer, J.N. Sørensen, A. Crespo, “Wnid turbine wake aerodynamics,” p. 465~510, 2003.
    [6] Fernando Porté-Agel, Majid Bastankhah, Sina Shamsoddin, “Wind-Turbine and Wind-Farm Flows: A Review,” p. 1~59, 2020.
    [7] Jewel B. Barlow, William H. Rae, Jr. , Alan Pope, “Low-Speed Wind Tunnel Testing,” 1999.
    [8] Majid Bastankhah, Fernando Porté-Agel, “A New Miniature Wind Turbine for Wind Tunnel Experiments. Part I: Design and Performance,” Energy, 3 7 2017.
    [9] Ruiyang He, Haiying Sun, Xiaoxia Gao, Hongxing Yang, "Wind tunnel tests for wind turbines: A state-of-the-art review," Renewable and Sustainable Energy Review, no. 166, 2022.
    [10] Bingzheng Dou, Michele Guala, Liping Lei, Pan Zeng, "Experimental investigation of the performance and wake effect of a small-scale wind turbine in a wind tunnel," Energy, no. 166, p. 819~833, 2019.
    [11] Wei Zhang, Corey D. Markfort, Fernando Porté-Agel, "Wind-Turbine Wakes in a Convective Boundary Layer: A Wind-Tunnel Study," Boundary-Layer Meteorology volume, no. 146, p. 161~179, 2013.
    [12] A. BETZ, “Introduction to the Theory of Flow Machines,” 1966.
    [13] M.A. Yurdusev, R. Ata, N.S. Çetin, "Assessment of optimum tip speed ratio in wind turbines using artificial neural networks," Energy, vol. 31, no. 12, p. 2153~2161, 2006.
    [14] Carlo L. Bottasso, Filippo Campagnolo, Vlaho Petrović, "Wind tunnel testing of scaled wind turbine models: Beyond aerodynamics," Journal of Wind Engineering and Industrial Aerodynamics, vol. 127, p. 11~28, 2014.
    [15] Yu-Ting Wu, Chang-Yu LIn, Che-Ming Hsu, "An Experimental Investigation of Wake Characteristics and Power Generation Efficiency of a Small Wind Turbine under Different Tip Speed Ratios," Energies, vol. 13, no. 8, 2020.
    [16] H. Glauert, “Aerodynamic Theory: A General Review of Progress Under a Grant of the Guggenheim Fund for the Promotion of Aeronautics,” p. 169~360, 1935.
    [17] Wilson, R. E., Lissaman, P. B.S., Walker, S. N., "Aerodynamic performance of wind turbines.," 1 06 1976.
    [18] R. Lanzafame, M. Messina, "Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory," Renweable Energy, vol. 32, no. 14, p. 2291~2305, 2007.
    [19] K.Y. Maalawi, M.A Badr, "A practical approach for selecting optimum wind rotors," Renewable Energy, vol. 28, no. 5, p. 803~822, 2003.
    [20] H. H. Bruun, "Hot-Wire Anemometry: Principles and Signal Analysis," Measurement Science and Technology, vol. 7, no. 10, 1 10 1996.
    [21] Heiner Schümann, Fabio Pierella, Lars Sætran, "Experimental Investigation of Wind Turbine Wakes in the Wind Tunnel," Energy Procedia, vol. 35, p. 285~296, 2013.
    [22] Juliaan Bossuyt, Michael F. Howland, Johan Meyers, "Measurement of unsteady loading and power output variability in a micro wind farm model in a wind tunnel," Experiments in Fluids, vol. 58, no. 1, 15 12 2016.
    [23] Daniel Węcel, Tadeusz Chmielniak, Janusz Kotowicz, "Experimental and numerical investigations of the averaging Pitot tube and analysis of installation effects on the flow coefficient," Flow Measurement and Instrumentation, vol. 19, no. 5, p. 301~306, 2008.
    [24] H. P. Hodson, W. N. Dawes, "On the Interpretation of Measured Profile Losses in Unsteady Wake–Turbine Blade Interaction Studies," Journal of Turbomachinery, vol. 120, no. 2, p. 276~284, 1998.
    [25] Wei-Cheng Wang, Wen Tong Chong, Tien-Hsin Chao, "Performance analysis of a cross-axis wind turbine from wind tunnel experiments," Journal of Wind Engineering and Industrial Aerodynamics, vol. 174, p. 312~329, 2018.
    [26] I. C. Shepherd, "A Four Hole Pressure Probe for Fluid Flow Measurements in Three Dimensions," Journal of Fluids Engineering, vol. 174, p. 590~594, 1981.
    [27] J.D. Hooper, A.R. Musgrove, "Reynolds stress, mean velocity, and dynamic static pressure measurement by a four-hole pressure probe," Experimental Thermal and Fluid Science, vol. 15, no. 4, p. 375~383, 1997.
    [28] Y.-H. Chen, “Analysis of Influence of Two-blade rotors on Wake Characteristics and Fan Performance,” National Cheng Kung University Department of Engineering Science, 2022.
    [29] Markus Raffel, Christian E. Willert, Fulvio Scarano,Christian J. Kähler, Steve T. Wereley, Jürgen Kompenhans, "Particle Image Velocimetry : A Practical Guide," 2018.
    [30] Richard D. Keane, Ronald J. Adrian, "Theory of cross-correlation analysis of PIV images," Applied Scientific Research volume, vol. 49, no. 3, p. 191~215, 1 7 1992.
    [31] R. D. Keane, R. J. Adrian, "Optimization of particle image velocimeters. I. Double pulsed systems," Measurement Science and Technology, vol. 1, no. 11, 1990.
    [32] R. N. Bracewell, "The Fourier transform and its applications," 1986.
    [33] Yu-Ting Wu, Fernando Porté-Agel, "Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm," Renewable Energy, vol. 75, p. 945~955, 2015.

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