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研究生: 陳湶霖
Chen, Chiuan-Lin
論文名稱: 台灣離岸風電潛力場址風機擺設與區塊開發之策略分析
Strategy Analysis of Wind Farm Position and Block Development in Taiwan's Offshore Wind Power Potential Sites
指導教授: 苗君易
Miau, Jiun-Jih
共同指導教授: 張珮錡
Chang, Pei-Chi
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: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 83
中文關鍵詞: WindPRO年發電量尾流效應風能風場排列
外文關鍵詞: WindPRO, wake loss, wind energy, wind farm layout, optimization
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  • 台灣政府要推動產業創新和轉型,認為海上風力發電是一個很好的選擇。經過幾十年的實驗,各個領域的海上技術經驗已經成熟,特別是在歐洲,風能已成為許多國家的重要電力來源之一。根據國際機構4C Offshore統計,全球前20處離岸風能最佳潛力場址有18處位於台灣海峽,政府預計於2020年新增陸域及離岸風力發電量652MW,而中長期計畫則將在2025年時達到累計發電量4,200MW,因此為了獲得台灣西部離岸風力發電場的可靠離岸風場資源信息,本研究選用WindPRO軟體進行分析,使用在軟體中的幾個模塊,包括Meteo,Park,Optimization模塊等等,透過WindPRO軟體的分析,可以計算出風向,風速,年度發電量和尾流損失以及透過不同的優化方式來找出最佳化的風場排列方式,而其中尾流損失計算是選用N.O. Jensen Wake Model。將選取兩塊相鄰的彰化地區離岸示範風力發電場址,來探討兩塊風場所造成的交互影響及尾流效應,進而透過擬真的分析,可以得知最恰當的風機間距,得知該如何得到最佳之風場效益。

    The government of Taiwan would like to promote industrial innovation and transformation, and believes that offshore wind power generation is a possibility. After decades of experiments, the experience of marine technology in various fields has been matured, especially in Europe, wind energy has become one of the most important power sources in many countries. According to the international agency 4C Offshore statistics, the top twenty offshore wind energy potential sites are located in the Taiwan Strait, and the government is expected to add land and offshore wind power of 652MW in 2020, while the medium and long term plan will reach the cumulative power of 4200MW in 2025. In order to get reliable offshore wind resource information of offshore wind farms in western part of Taiwan, this study uses WindPRO software to analyze and use several modules in the software, including Meteo, Park, Optimization module and so on. Through the analysis of WindPRO software, the wind direction, wind speed, annual power generation and tail loss can be calculated and the different optimization methods are used to find out. The optimal arrangement of the wind field, and the calculation of wake loss is N.O. Jensen Wake Model. Two adjacent offshore wind power sites in Changhua area will be selected to discuss the interaction and wake effect caused by two wind places. Through the pseudo true analysis, the most appropriate fan spacing can be learned and the best wind field benefits can be obtained.

    Abstract III 致謝 V Contents VI List of Tables IX List of Figures XI Nomenclature XIV Chapter I Introduction 1 1.1 Research Background 1 1.2 Objectives and Purpose 2 1.3 Literature 5 1.3.1 Annual Energy production 5 1.3.2 Comparing wake loss 6 1.3.3 Optimization of value 7 Chapter II Foundation in calculating energy 8 2.1 Wind Characteristic 8 2.1.1 Wind speed distribution 8 2.1.2 Wind profile and wind shear 9 2.1.3 Weibull distribution 10 2.1.4 Betz law 11 2.2 The power curve and the Ct curve 12 2.3 Roughness classification 13 2.4 Wind speed without topographic effect 14 2.5 Wind speed with topographic effect 16 2.6 Wake models in WindPRO 16 2.6.1 N.O. Jensen Wake Model 21 2.7 Optimization in WindPRO software 23 Chapter III Research Methods 25 3.1 Overview of calculating process in WindPRO 25 3.2 The process of analyzation 25 Chapter IV Results and Discussion 28 4.1 Comparison with Regular and Random pattern 28 4.1.1 Regular arrangement in the wind farm 28 4.1.2 Random arrangement in the wind farm 29 4.2 Wind turbines Optimized Spacing Layout in Random pattern 29 4.2.1 The distance in 500 meters between wind turbines 30 4.2.1.1 Statistics of the distance in 500 meters 31 4.2.2 The distance in 550 meters between wind turbines 31 4.2.2.1 Statistics of the distance in 550 meters 32 4.2.3 The distance in 600 meters between wind turbines 33 4.2.3.1 Statistics of the distance in 600 meters 34 4.2.4 The distance in 650 meters between wind turbines 34 4.2.4.1 Statistics of the distance in 650 meters 35 4.2.5 The distance in 700 meters between wind turbines 35 4.2.5.1 Statistics of the distance in 700 meters 36 4.2.6 The distance of 800 meters between wind turbines 36 4.2.7 The distance of 900 meters between wind turbines 36 4.2.8 The distance of 1000 meters between wind turbines 37 4.2.9 Comparing different to the same number of wind turbines 37 4.2.10 Comparing Influence between wind farm A and B 38 4.2.10.1 Wake Influence of wind farm A on wind farm B 38 4.2.10.2 Wake Influence of wind farm B on wind farm A 38 4.2.11 The wake effect between wind farm A and wind farm B in different distance 39 4.2.12 The initial location of wind farms 39 4.2.13 The influence of moving X-axis 40 4.2.14 The influence of moving Y-axis 40 4.2.15 Statistics of wake loss 40 Chapter V Conclusion and Future work 42 5.1 Conclusion 42 5.2 Future work 45 References 46 Photography 49 Table 74

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