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Nesting LES within WRF for Distributed Wind Energy Applications

机译:在WRF中嵌套LES以用于分布式风能应用

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Since the distributed wind power closer to the user or load centers,leading to more complex elements of the surrounding environment,however,the system stability,reliability,power quality has put forward higher requirements.The changes of obstacles,surface roughness and topography have increased the difficulty of numerical weather prediction that used for distributed wind power forecast,which has seriously hampered the development of distributed wind power.This paper nested large eddy simulation(LES)technology within the weather research and forecast(WRF)model,formed a high-resolution model system that simultaneously consider meso-scale and small-scale atmospheric motion,carried out the simulation study in northeast China,and corrected the simulation model through the observation data.The results shows that the nesting LES within WRF model system can effectively improve wind prediction accuracy,it provide a more accurate and reliable support for distributed wind power forecast,and the model system has application potential.
机译:由于分布式风电更接近用户或负荷中心,导致周围环境更加复杂,因此,对系统的稳定性,可靠性,电能质量提出了更高的要求。障碍物,表面粗糙度和地形的变化增加了分布式风电预报中数值天气预报的难点,严重阻碍了分布式风电的发展。本文将大型涡模拟(LES)技术嵌套在天气研究与预报(WRF)模型中,形成了同时考虑中尺度和小尺度大气运动的高分辨率模型系统,在中国东北地区进行了模拟研究,并通过观测数据对模拟模型进行了校正。结果表明,WRF模型系统中的嵌套LES可以有效改善风预测精度,为分布式风电预测提供更准确,可靠的支持odel系统具有应用潜力。

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