Quantifying variability of Large Eddy Simulations of very large wind farms

被引:15
作者
Andersen, S. J. [1 ]
Witha, B. [2 ]
Breton, S-P [3 ]
Sorensen, J. N. [1 ,3 ]
Mikkelsen, R. F. [1 ]
Ivanell, S. [3 ]
机构
[1] Tech Univ Denmark, DTU Wind Energy, DK-2800 Lyngby, Denmark
[2] Carl von Ossietzky Univ Oldenburg, ForWind Ctr Wind Energy Res, D-26131 Oldenburg, Germany
[3] Uppsala Univ, Dept Earth Sci, Visby, Sweden
来源
WAKE CONFERENCE 2015 | 2015年 / 625卷
关键词
D O I
10.1088/1742-6596/625/1/012027
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Large Eddy Simulations are inherently dynamic as the largest scales are resolved and the smallest scales are modeled temporally. This raises challenges for simulations including very large scales such as atmospheric flows, which require very long simulation times. Simple averages fail at capturing these dynamics and potentially yield misleading interpretations concerning the capabilities of different models when tested in blind tests or in benchmarking exercises such as Wakebench, where results from different flow models are compared. This article will present results from very large wind farm simulations using Actuator Disc (AD) and Line (AL) models for two different turbine spacings with turbulent inflow. The results of each numerical flow model include a certain variability, and it will be examined if different models result in comparable probability distributions.
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页数:12
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