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Combining the VAS 3D interpolation method and Wind Atlas methodology to produce a high-resolution wind resource map for the Czech Republic

机译:结合VAS 3D插值方法和Wind Atlas方法,以生成捷克共和国的高分辨率风资源图

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This paper describes a method that was applied as a part of the creation of a wind map for the Czech Republic. The method (abbreviated VAS/WindAtlas) combines an interpolation method (VAS) with the Wind Atlas methodology applied by using the microscale model WAsP. While WAsP eliminates the site-specific effects around measurement sites to provide generalised wind conditions (GWC), VAS interpolates the GWC over the entire domain and takes into account the general increase of wind speed with altitude. As a result, an altitude-dependent generalised wind map is provided. Then, a final high-resolution calculation is performed by WAsP. The VAS/WindAtlas method is considerably more simplified and less computationally demanding than approaches employing more complex numerical models, but it requires a sufficiently dense network of wind measurements, a thorough data quality evaluation and careful corrections that compensate for the known limitations of the applied data and methods. A comparison of the original wind map with new independent wind measurements, which were obtained after the wind map calculation, was performed with a detailed analysis of the expected errors and uncertainties at the validation sites. The presented VAS/WindAtlas method proved to be good solution to estimate wind resources of Czech Republic.
机译:本文介绍了一种方法,该方法被用作捷克共和国风图创建的一部分。该方法(缩写为VAS / WindAtlas)将插值方法(VAS)与通过使用微型模型WAsP应用的Wind Atlas方法相结合。 WAsP消除了测量地点周围特定地点的影响,以提供广义风况(GWC),而VAS会在整个范围内对GWC进行插值,并考虑了风速随高度的一般增加。结果,提供了取决于高度的广义风图。然后,由WAsP执行最终的高分辨率计算。与采用更复杂的数值模型的方法相比,VAS / WindAtlas方法要大大简化,计算量也较少,但是它需要足够密集的风测量网络,全面的数据质量评估和仔细的校正,以弥补应用数据的已知局限性和方法。将原始风图与在计算风图后获得的新的独立风测量值进行比较,并对验证站点上的预期误差和不确定性进行详细分析。所提出的VAS / WindAtlas方法被证明是估算捷克共和国风能资源的良好解决方案。

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