臺灣博碩士論文加值系統

本文利用中壢清雲科技大學的風速觀測資料來分析都會區的風速分佈特性，圖解法(graphical method)及極大可能法(maximum likelihood method) 分別用以擬合韋伯機率分佈函數，求其形狀參數與尺度參數；不同季節的分析結果都顯示圖解法高估了風速小於2~3m/s的發生機率。同時針對此都會區的風場特性，進行風力機容量因數、正規化平均功率之分析，探討適合都會區的風機特性參數。最佳化結果建議額定風速為8~11m/s時，風機可達最大效率。

Wind speed observations of Ching Yun University in Jhong-Li are used to investigate the wind characters inside a megalopolis. Both the graphical and maximum likelihood methods are applied to estimate the shape and the scale factors of the Weibull wind speed distribution function. It is found that the graphical method always overestimate the occurrence probability of wind speed less than 2~3m/s. Based on the obtained wind speed distribution, the related capacity factors and normalized average power are analyzed to survey the optimum parameters of wind turbine generators. Our result suggests that the wind generator can obtain the maximum efficiency when the rated wind speed is 8~11m/s.

中文摘要 i
英文摘要 i i
目錄 iii
表目錄 iv
圖目錄 vi
第一章 緒論 1
1.1 研究動機與概述 1
1.2 介紹 1
1.3 風力發電概況 3
第二章 風速與風能分布 4
2.1 速度與功率的關係性 4
2.2貝茲法則(Betz's Law) 6
2.3 葉片轉子掃過面績 9
2.4 空氣密度 9
2.5 風速分布 10
2.5.1 韋伯分布函數 11
2.5.2 高度效應 13
第三章 風力機系統 15
3.1 風力機系統結構 15
3.1.1 塔架 15
3.1.2 風機葉片 15
3.1.3 轉向控制 15
3.1.4 速度控制 16
3.1.5 齒輪箱 16
3.1.6 發電機 16
3.2 風力機定級 18
3.3 轉子角速度與輸出功率及轉矩關係 18
3.4 變速操作 20
3.5 系統設計 22
3.5.1 葉片數目 22
3.5.2 迎風型及背風型 22
3.5.3 垂直軸式與水平軸式風力機 22
3.5.4 塔座間距 23
3.6 最大功率追蹤 24
3.6.1 固定翼尖速度比之結構 24
3.6.2 功率點追蹤之結構 24
3.7 速度控制 26
3.8 關於環境的影響 26
3.8.1 噪音問題 26
3.8.2 電磁干擾 27
第四章 韋伯函數及風機容量參數求法 28
4.1 韋伯函數求法 28
4.1.1 風速資料 28
4.1.2 圖解法 29
4.1.3 極大可能法 29
4.2 風速分布擬合韋伯機率分布函數 30
4.2.1 韋伯機率分佈函數的擬合分析 30
4.2.2 擬合結果與討論 37
4.3 風力機容量因數分析 39
第五章 結論 45
參考文獻 46
附錄 48
簡歷 49

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