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A Comparison of Wind Flow Models for Wind Resource Assessment in Wind Energy Applications

机译:风能应用中用于风资源评估的风流模型比较

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The objective of this work was to assess the accuracy of various coupled mesoscale-microscale wind flow modeling methodologies for wind energy applications. This is achieved by examining and comparing mean wind speeds from several wind flow modeling methodologies with observational measurements from several 50 m met towers distributed across the study area. At the mesoscale level, with a 5 km resolution, two scenarios are examined based on the Mesoscale Compressible Community Model (MC2) model: the Canadian Wind Energy Atlas (CWEA) scenario, which is based on standard input data, and the CWEA High Definition (CWEAHD) scenario where high resolution land cover input data is used. A downscaling of the obtained mesoscale wind climate to the microscale level is then performed, where two linear microscale models, i.e., MsMicro and the Wind Atlas Analysis and Application Program (WAsP), are evaluated following three downscaling scenarios: CWEA-WAsP, CWEA-MsMicro and CWEAHD-MsMicro. Results show that, for the territory studied, with a modeling approach based on the MC2 and MsMicro models, also known as Wind Energy Simulation Toolkit (WEST), the use of high resolution land cover and topography data at the mesoscale level helps reduce modeling errors for both the mesoscale and microscale models, albeit only marginally. At the microscale level, results show that the MC2-WAsP modeling approach gave substantially better results than both MC2 and MsMicro modeling approaches due to tweaked meso-micro coupling.
机译:这项工作的目的是评估适用于风能应用的各种中微尺度风耦合模型的准确性。这是通过检查和比较几种风流建模方法的平均风速与分布在研究区域的几座50 m高塔的观测值进行比较而实现的。在中尺度级别(分辨率为5 km)上,基于中尺度可压缩社区模型(MC2)模型检查了两种方案:基于标准输入数据的加拿大风能图集(CWEA)方案和CWEA高清晰度(CWEAHD)方案,其中使用了高分辨率土地覆盖物输入数据。然后将获得的中尺度风气候降尺度到微尺度,然后在以下三种降尺度场景下评估两个线性微尺度模型,即MsMicro和风图集分析和应用程序(WAsP)。 MsMicro和CWEAHD-MsMicro。结果表明,对于所研究的领域,通过基于MC2和MsMicro模型的建模方法(也称为风能模拟工具包(WEST)),在中尺度水平上使用高分辨率土地覆盖和地形数据有助于减少建模误差对于中尺度和微观模型,尽管只是微不足道。在微观水平上,结果表明,由于微细耦合的微调,MC2-WAsP建模方法比MC2和MsMicro建模方法都具有更好的结果。

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