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Mesoscale modelling in China: Risø DTU numerical wind atlas calculation for NE China (Dongbei)

机译:中国的中尺度模拟:NE中国(东北)的RisøDTU数值风图集计算

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摘要

This document reports on the methods and findings of project “A01 Mesoscale Modelling”, part of the CMA component of the Wind Energy Development (WED) programme, focusing mainly on the methods and work undertaken by Risø DTU. The KAMM/WAsP methodology for numerical wind atlas calculation of the wind resource for Dongbei south of 50oN. The results of the numerical wind atlas show a wind resource over the region of interest modulated mainly by topographic features. These are principally elevated terrain features, giving high resources on exposed ridges and lower resources adjacent to the low slopes of mountains and large-scale valley features. A comprehensive verification was carried in which the generalized wind climates derived from mesoscale modelling and measurements for nine meteorological stations were compared. A mean absolute error of 8 % for 50 m wind speeds was determined. The major new aspects of the project were the large number of KAMM/WAsP sensitivity studies, comparison with WRF, and the CMA’s numerical wind atlas method (WERAS). Additionally, the reliability of the input data for the methodology, and the wave-number spectra properties of the output data were investigated. Comparison and verification of the results of CMA’s numerical wind atlas method (WERAS) were carried out. Generalized wind climates show a positive bias compares to measurement, though an improved generalization method is thought will improve this result. A more direct comparison was made between KAMM and WRF by using KAMM wind classes in WRF, run in idealized mode. A smoother resource map was given by WRF and different gap flow behaviour was noted. Future work would be well directed towards i. improving the method for importing WRF results into WAsP, ii. developing relationships between the sensitivity analysis and uncertainties, iii. continuing the measurements at current sites and additional sites, in order to improve and enhance the verification analysis.
机译:本文档报告了“ A01中尺度模型”项目的方法和发现,该项目是风能开发(WED)计划CMA组件的一部分,主要关注RisøDTU进行的方法和工作。用KAMM / WAsP方法对东北50o以南的风资源进行数值风图集计算。数值风向图的结果表明,主要通过地形特征调制的感兴趣区域上的风资源。这些主要是升高的地形特征,在裸露的山脊上具有较高的资源,而在山脉的低坡度和大型山谷地貌附近则具有较低的资源。进行了全面的验证,其中比较了从9个气象站的中尺度建模和测量得出的广义风气候。对于50 m的风速,确定的平均绝对误差为8%。该项目的主要新方面是大量的KAMM / WAsP敏感性研究,与WRF的比较以及CMA的数值风图集方法(WERAS)。另外,还研究了该方法的输入数据的可靠性以及输出数据的波数频谱特性。对CMA的数字风图集方法(WERAS)的结果进行了比较和验证。尽管认为改进的概算方法将改善此结果,但广义的风气候与测量值相比显示出正偏差。通过在理想模式下运行的WRF中使用KAMM风等级,对KAMM和WRF进行了更直接的比较。 WRF给出了更平滑的资源图,并记录了不同的间隙流动行为。将来的工作将很好地针对i。改进将WRF结果导入WAsP的方法; ii。建立敏感性分析与不确定性之间的关系; iii。继续在当前站点和其他站点进行测量,以改进和增强验证分析。

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