現今社會科技發展日新月異，關於環境保護的議題也越來越重要。由於全球暖化，碳排放的議題和政策越來越受重視。為了能達成淨零排放，風能、太陽能等再生能源的研究及運用成為了首要目標。

        本研究以田口法探討微型水平軸風力機在擴散外罩下，透過不同的參數組合，找到最佳的外罩幾何形狀設計。首先以Creo Parametric軟體繪製所需之風力機葉片及外罩的幾何外型，再透過商用計算流體力學軟體Flowvision模擬不同參數組合的外罩在風速10m/s和16m/s的流場中，關於集風效率及輸出功率具有何種表現。實驗葉片採用NACA4415翼型剖面，材質選用工程塑膠-尼龍。模擬後得出各組實驗之Cp最大值並進行比較，再透過田口法得出最佳化外形設計之參數。

        根據因子效應得出各因子對外罩之集風效率的影響，並考慮因子間交互作用，結果顯示出各個因子間具強交互作用。在最佳化後得出在參數為噴嘴長度L1/D=0.1，噴嘴角度30°，擴散角度12°，Flange高度H/D=1及Flange角度18°時最好，並與最差(噴嘴長度L1/D=0.4，噴嘴角度22°，擴散角度12°，Flange高度H/D=0.1及Flange角度6°)進行比較，得出最佳化外罩集風效率比最差增加了35%；風機的輸出功率在最佳化外罩的影響下比最差的增加了150%~175%。

In today's society, science and technology are developing rapidly, and issues related to environmental protection are becoming more and more important. Due to global warming, carbon emission issues and policies have received increasing attention. In order to achieve net-zero emissions, the research and application of renewable energy sources such as wind energy and solar energy have become the primary goal.

This study uses the Taguchi method to explore the optimal housing geometry design for micro-horizontal-axis wind turbines under diffuser housings through different parameter combinations. First, Creo Parametric software is used to draw the required geometric shapes of the wind turbine blades and housing, and then the commercial computational fluid dynamics software Flowvision is used to simulate the housing with different parameter combinations in the flow field with wind speeds of 10m/s and 16m/s.Regarding the performance of wind collection efficiency and output power.The experimental blade adopts NACA4415 airfoil profile, and the material is engineering plastic-nylon. After simulation, the maximum Cp value of each group of experiments is obtained and compared, and then the parameters of the optimal shape design are obtained through the Taguchi method.
According to the factor effect, the influence of each factor on the wind collection efficiency of the outer cover is obtained, and the interaction between factors is considered. The results show that there is a strong interaction between the factors. After optimization, it is concluded that the parameters are nozzle length L1/D=0.1, nozzle angle 30°, diffusion angle 12°, flange height H/D=1 and flange angle 18°, which is the best, and is the same as the worst (nozzle length L1/D=0.4，, nozzle angle 22°, diffusion angle 12°, Flange height  H/D=0.1 and Flange angle 6°), it is concluded that the air collection efficiency of the optimized cover is increased by 35% compared with the worst; the output power of the fan is under the influence of the optimized cover An increase of 150% to 175% compared to the worst.

目錄
中文摘要	i
英文摘要	ii
目錄	iii
圖目錄	vi
表目錄	viii
第一章、緒論 1
1.1研究動機 1
1.2風力發動機簡介 2
1.2.1水平軸風力機 3
1.2.2垂直軸風力機 3
1.3貝茲(Betz)定律 4
1.4研究目的 7
1.5文獻回顧 8
第二章、研究方法 11
2.1數值模式 11
2.1.1統御方程式 11
2.2田口法 11
2.2.1品質特性 14
2.2.2控制因子與干擾因子 14
2.2.3直交表 16
2.2.4訊號噪音比 18
第三章、數值模擬 19
3.1模擬流程 19
3.1.1實驗模型 19
3.1.2邊界條件 21
3.1.3 數值監測與收斂判定 22
3.1.4紊流模型 23
3.2模擬網格 25
3.2.1初始網格 25
3.2.2網格加密 26
3.2.3網格獨立性 28
第四章、結果與分析 30
4.1結果與田口法 30
4.1.1因子效應 31
4.1.2因子反應圖表 31
4.1.3因子交互作用 33
4.1.4最佳化 44
4.1.5確認 44
4.2最佳化與最差之比較 46
4.3外罩內速度比較 48
4.4流場與壓力分佈圖比較 49
第五章、結論與展望 54
5.1結論 54
5.2未來展望 55
參考文獻 57
附錄 論文簡要版 62

圖目錄
圖1全球新增風電裝置[1] 2
圖2水平軸風力機 3
圖 3垂直軸風力機 4
圖4田口法操作順序 13
圖5實驗外罩控制因子 15
圖6水平風力機尺寸(cm) 20
圖7計算模型尺寸(前視) 20
圖8計算模型尺寸(側視) 21
圖9計算模型邊界條件 22
圖 10 Slover監測變數設定 23
圖 11 數值監測視窗 23
圖12模型初始網格 26
圖13加密等級示意圖 27
圖14進階加密示意圖 28
圖15網格獨立性測試 29
圖16因子反應圖 32
圖17因子A與B之交互作用圖 34
圖18因子A與C之交互作用圖 35
圖19因子A與D之交互作用圖 36
圖20因子A與E之交互作用圖 37
圖21因子B與C之交互作用圖 38
圖22因子B與D之交互作用圖 39
圖23因子B與E之交互作用圖 40
圖24因子C與D之交互作用圖 41
圖25因子C與E之交互作用圖 42
圖26因子D與E之交互作用圖 43
圖 27參數確認之Cp-TSR曲線 45
圖28風速10m/s ，最佳化與最差之Cp-TSR曲線圖	47
圖 29風速16m/s ，最佳化與最差之Cp-TSR曲線圖 47
圖 30外罩內最佳化與最差喉部風速 49
圖 31最佳化流場流線圖 50
圖 32最差流場流線圖 50
圖 33最佳化與最差中心壓力分佈 51
圖 34最佳化與最差中心速度分佈 51
圖 35葉片表面壓力分佈 52

表目錄
表1實驗因子表 15
表2 L16(45)直交表 17
表3模型邊界條件設定 22
表 4 Slover監測變數設定 23
表5實驗模擬結果之Cp值S/N比 30
表6因子反應表 31
表7因子A與B之交互作用表 34
表8因子A與C之交互作用表 35
表9因子A與D之交互作用表 36
表10因子A與E之交互作用表 37
表11因子B與C之交互作用表 38
表12因子B與D之交互作用表 39
表13因子B與E之交互作用表 40
表14因子C與D之交互作用表 41
表15因子C與E之交互作用表 42
表16因子D與E之交互作用表 43
表17改變之因子參數 44
表18變更後之外罩參數 45
表19最佳化及最差之喉部風速 48
 

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