唤醒
地形
雷诺平均Navier-Stokes方程
涡轮机
计算流体力学
风力发电
气象学
海洋工程
流离失所(心理学)
计算机科学
航空航天工程
地质学
工程类
物理
地理
电气工程
地图学
心理治疗师
心理学
作者
Davide Astolfi,Francesco Castellani,Ludovico Terzi
出处
期刊:Journal of Solar Energy Engineering-transactions of The Asme
[ASME International]
日期:2018-01-25
卷期号:140 (3)
被引量:47
摘要
This work deals with wind turbine wakes in complex terrain. The test case is a cluster of four 2.3 MW wind turbines, sited in a very complex terrain. Their performances are studied through supervisory control and data acquisition (SCADA) data, suggesting a relevant role of the terrain in distorting the wake of the upstream turbines. The experimental evidences stimulate a deeper comprehension through numerical modeling: computational fluid dynamics (CFD) simulations are run, using the Reynolds-averaged Navier–Stokes (RANS) formulation. A novel way of elaborating the output of the simulations is proposed, providing metrics for quantifying the three-dimensional (3D) evolution of the wake. The main outcome of the numerical analysis is that the terrain distorts the wind flow so that the wake profile is severely asymmetric with respect to the lateral displacement. Further, the role of orography singularities is highlighted in dividing the wake front, thus inducing faster wake recovery with respect to flat terrain. This interpretation is confirmed by SCADA data analysis.
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