本篇文章探討影響到風機發電效率的兩個因素，葉片轉子與尾流效應。葉片轉子的性能會影響到風機的發電效率，尾流效應則會影響到下游風機的發電效率。因此了解到葉片轉子與尾流效應之間的關係有助於風電場的評估。
第一部分為微型風機之性能量測，使用固定入流風速進行風洞試驗，分別觀察葉片轉子在不同葉尖速比(TSR)情況下的發電性能以及最佳發電條件。其結果表明不同葉片轉子之間的性能差異會影響到風機的發電性能，不同葉片轉子之間在相同葉尖速比下發電效率也不相同，其中在最大發電效率時葉尖速比處於不同情況。由上述描述可以得出葉片轉子性能會影響到風機的發電性能，且葉片轉子需運行在特定葉尖速比下才能使微型風機獲得最大發電效率。
第二部分則為延續第一部分條件下去進行風機尾流拍攝，使用量測方法為質點影像測速技術(PIV)，固定實驗條件為風洞入流風速以及葉尖速比，其中葉尖速比條件為最接近兩種案例之最大發電效率情況，量測主流向距離範圍為6個葉片轉子直徑距離。結果表明相同葉尖速比下尾流效應有所差異，性能較優之葉片轉子所受到的速度損失以及紊流情況皆要來的更大，影響下游範圍越廣，主要的原因來自於與風能之間的接觸較多。
由實驗結果可知葉片轉子性能越佳其發電效率越好，但是所產生的尾流效應影響範圍則會越大，這將會嚴重影響到下游風機的發電效率，因此除了考慮到風機效率最大化時，還需考慮到風機所產生的尾流效影響範圍，以確保整體風電場的發電效率。

The first part is the performance measurement of the micro-turbine. The power generation performance and optimal power generation conditions of rotor blades under different tip speed ratios (TSR) were observed. The results show that the power generation efficiency is different between different rotor blades under the same TSR. From the above description, it can be concluded that the performance of the rotor blade will affect the power generation performance of the turbine, and the rotor blade needs to run at a specific TSR to make the turbine achieve maximum power generation efficiency.
The second part is the shooting of the turbine wake. The measurement method is Particle Image Velocimetry (PIV). The fixed experimental conditions are the inflow wind speed of the wind tunnel and the TSR. TSR condition is the closest to the largest of the two cases of power generation efficiency. The results show that the wake effect is different under the same TSR. The rotor blade with better performance suffers from greater speed loss and turbulence and affects the wider downstream range.
The better the performance of the rotor blades, the better the power generation efficiency, but the larger the influence range of the wake effect will be. Therefore, in addition to considering the maximum turbine efficiency, the influence range of the wake effect generated by the turbine also needs to be considered to ensure the power generation of the entire wind farm efficiency.

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