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系統識別號 U0026-0808201914521200
論文名稱(中文) 在颱風條件下的大氣紊流特性
論文名稱(英文) Wind Turbulence Characteristics Under Typhoon Conditions
校院名稱 成功大學
系所名稱(中) 航空太空工程學系
系所名稱(英) Department of Aeronautics & Astronautics
學年度 107
學期 2
出版年 108
研究生(中文) 蒲麥克
研究生(英文) Michel Paurus
學號 P46067043
學位類別 碩士
語文別 英文
論文頁數 147頁
口試委員 指導教授-苗君易
口試委員-蔡原祥
口試委員-呂宗行
口試委員-徐子圭
中文關鍵字 none 
英文關鍵字 Turbulence Intensity  Probability Density Functions  Power spectrum  Cross-Correlation  Auto-correlation 
學科別分類
中文摘要 none
英文摘要 The main purpose of this research was to study wind turbulence characteristics under typhoon conditions. In order, to better understand the cause of turbine damage, firstly, we should study the wind turbulence characteristics under typhoons, such as mean wind speed and wind direction, turbulence intensity, turbulence integral length scale, and power spectrum of wind velocity, Cross-Correlation, and Autocorrelation, were investigated in detail based on the wind data recorded during the strong typhoon.
The measured results revealed that the wind characteristics in different stages during the typhoon varied remarkably with a variation. Therefore, considering the spectrum analysis at two different heights 50m and 86m of the typhoon, the power spectrum from FFT and a Proposed von Karman model, and other parameters were indicating the distribution of signal power at different frequencies and the recorded wind speed fluctuations. Correlation shows that the strong coherence between wind speed and wind direction decreases with the increase in latency. Spectral analysis shows significant periodicity with similar characteristics at two different heights during a typhoon.
Through comparison at both heights wind measurements, the phenomena of enhanced levels of turbulence characteristics under typhoon boundary layer were observed. The data analysis results are expected to be useful for the wind-resistant design of offshore structures and buildings on seashores in typhoon-prone regions. And are very important for the assessment of wind energy resources.
論文目次 TABLE OF CONTENTS

ABSTRACT 1
ACKNOWLEDGMENT I
TABLE OF CONTENTS II
LIST OF TABLES V
LIST OF FIGURES VII
INTRODUCTION 1
1.1 Motivation and Research Background 1
1.2 Objectives 3
1.3 Thesis Structure 4
1-4 Thesis Flowchart 5
CHAPTER 2 6
LITERATURE REVIEW 6
2.1 The origin of the name "typhoon" 6
2.1.1 Regional origins of typhoon 6
2.1.2 Pacific typhoon season 2016 7
2.1.3 Typhoon Megi 2016 7
2.1.4 Life cycle of a tropical cyclone 8
2.1.5 Tropical Cyclone Structure 9
2.1.6 Cyclone Eye And Eyewall 10
2.1.7 Classification of typhoons with Saffir–Simpson scale 11
2.2 Surface Roughness 12
2.3 Wind 13
2.4. The Wind Flow module 13
2.5 Onshore & Offshore 13
CHAPTER 3 15
RESEARCH METHOD 15
3.1 Taiwan Typhoon period and Wind Turbine Condition 15
3.2 Wind Data Resources at Chang-Hua 15
3.2.1 Wind Data Description 16
3.3 Statistical Properties of Wind Data characteristics 17
3.3.1 Times Series Analysis 18
3.3.2 Frequency Domain 18
3.3.3 Wind Speed and Wind Direction 18
3.4 Statistical Properties of Wind Data characteristics 18
3.4.1 Probability Density Functions (PDF) 19
3.4.2 Cumulative Density Functions (CDF) 23
3.5 Statistical Properties of Wind Turbulent 24
3.5.1 General Tendency of Turbulent Characteristics 25
3.5.2 Wind turbulence 25
3.5.3 Description of Wind Turbulence 26
3.5.4 Stochastic of Wind Turbulence 26
3.5.5 IEC requirements 26
3.5.6 Turbulence Fluctuation 27
3.5.7 Turbulence Intensity 28
3.5.8 Turbulence Power Spectrum 30
3.6 Correlation 34
3.6.1 Cross-Correlation 34
3.6.2 Autocorrelation 35
CHAPTER 4 36
RESULTS AND DISCUSSION OF THE ANALYSIS PROPERTIES 36
4- Statistical Properties of Wind Data characteristics 36
4.1 -Times Series Analysis, Mean Wind Speed and Wind Direction 36
4.2 Wind Data Description 39
4.3 Statistical Properties of Wind Turbulence 76
4.3.1 Description of Wind Turbulence 76
4.3.2 Turbulence Fluctuation 76
4.4 Turbulence Intensity Results 78
4.5: Power Spectrum Estimate from FFT 86m and 50m height 27 Sept-2016 87
4.6 a) Power Spectrum by Proposed von Karman,27 Sept 2016 95
4.7 Turbulence integral length scales 108
4.8 Correlation 109
4.8 a) Cross-Correlation at 50m and 86m height, 27- September 109
4.8 b) Cross-Correlation at 50m and 86m height, 28- September 112
4.9 a) Autocorrelation at 86m and 50m height, every hour 27 Sept. 115
4.9 b) Autocorrelation at 50m and 86m height, 28- September 121
CHAPTER 5 129
SUMMARY, CONCLUSION, AND SUGGESTIONS 129
5.1 Summary 129
5.2 Conclusion 130
5.3 Future Work Suggestions 133
REFERENCES 134
Appendix 138
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