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Toward an efficient data sampling methodology for micro-siting CFD simulations regarding thermal stratification

机译:朝着关于热分层的微瞄准CFD模拟的有效数据采样方法

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Wind patterns on complex terrain measured by the met-mast consists of numerous effects. Complex topology, large scale forcing, instantaneous characteristics, as well as the thermal stratification, play certain significant roles affecting the statistical description on site. These events are recorded in the mast or SCADA data sets, which obsess a certain correlation time and space with the neighboring event and locations. The thermal stratification, incorporated with inhomogeneous terrain topography, contributes to different flow patterns in the representation of wind speed and direction. These physical properties can be captured by utilizing the computational fluid dynamics (CFD) method, By re-sampling these effects, in the statistical manner, the wind regime can be recreated in the three-dimensional domain.
机译:由Met-Mast测量的复杂地形上的风图案包括许多效果。复杂拓扑,大规模强制,瞬时特征以及热分层,发挥了一些影响现场统计描述的重要作用。这些事件记录在桅杆或SCADA数据集中,该数据集中具有与相邻事件和位置的某个相关时间和空间。掺入非均匀地形形貌的热分层有助于风速和方向表示的不同流动模式。可以通过利用计算流体动力学(CFD)方法来捕获这些物理性质,通过以统计方式重新采样这些效果,可以在三维域中重新创建风力制度。

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