本研究主要透過大渦漩模擬(Large eddy simulation)來模擬在中性邊界層下，不同風機陣列擺放的風力發電廠所形成的整體流況，其中引進了風機模組以及相關的風機參數來將風機所造成的力作用導入到流場的動量方程式中，最後藉由計算所得到的速度場資料以葉片元素理論(blade element theory) 來計算整體風場的功率輸出。
此篇研究考慮九個渦輪陣列的佈局，其中每個渦輪陣列配置4行30列共120支風機沿著入流方向以對齊或交錯形式佈置。我們在此九個大型風力發電場中進行模擬，其中一個為完全對齊的配置、四個橫向交錯配置、三個垂直向交錯配置以及一個橫向和縱向同時交錯的配置。與在對齊的風力發電場中的風機微觀坐標為對準的不同，橫向交錯和垂直交錯的佈置都導致風機在橫向和垂直方向上具有未對準的交錯情況。模擬結果顯示，在這裡考慮的風力發電場中的功率輸出在前12排風機中明顯減少到55-65％，然後在風機的其餘幾排的功率輸出則保持在該範圍內。總體而言，交錯佈置的風力發電場比對齊佈置的風力發電場能產生更多的電力。
本研究亦針對不同的地表粗糙度的風場做模擬並比較，分別有粗糙長度為 0.5、0.05、0.005 公尺的風場，而每種風場以主要的四種風機陣列來進行模擬。其中我們亦使用WAsP套軟進行上述風場及風機陣列做模擬，最後再與大渦漩模擬程式的結果相互比較及並且進行探討。

Large-eddy simulation (LES) is used to investigate the effect of the spatial arrangement of a utility-scale wind turbine array on the power outputs produced from individual turbines. The wind turbine module and turbine-related parameters were used to substitute into the momentum equation to get the velocity of the flow field. Finally, the simulated velocity field data was substituted in the blade element momentum theory (BEM) to obtain the wind farm power outputs. Nine turbine-array layouts, where each has 120 turbines installed in 30 rows with aligned or staggered configurations along the wake-wise direction, are considered. We perform the LESs of neutrally-stratified atmospheric boundary layer over the nine wind farms with the turbines arranged with a perfectly aligned configuration, four laterally-staggered (LS) configurations, three vertically-staggered (VS) configurations, and one fully-staggered (FS) configuration. Unlike the alignment of the turbine micro-siting in the aligned wind farm, both the LS, VS, and FS configurations lead to the misalignment of the turbines with staggered arrangement in the lateral and vertical directions. Simulation results show that the power outputs in the most wind farms considered here have an obvious decrease to 55-75% within the first 12 turbine rows and then retain within that range in the rest of the turbine rows. Overall, the staggered turbine configuration can raise the efficiency of power production from the downstreamturbines siting in a large wind farm.
This study also simulated and compared wind farms with different surface roughness, and the roughness lengths are 0.5, 0.05, and 0.005 m, respectively. Each type of wind farms are simulated with the four kinds of turbine arrays. In the end, we also use WAsP to simulate the above wind farms with different turbine arrays, and then compared the results with those from LESs.

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