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Comparing WAsP and MeteodynWT estimates for the 'regular' user

机译:比较“常规”用户的WASP和MeteodyNWT估计

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The application of Computational Fluid Dynamics (CFD) for wind resource assessment has become a real alternative to common linear model approaches, like WAsP. However, the increase in complexity and user expertise in CFD calculations leads to greater difficulty when comparing performance between modeling approaches. Trying to contribute to some enlightenment on these issues, namely in what regards relative performance between WAsP and Meteodyn CFD code estimates, the authors have gathered a set of 10 test cases in which model performance was compared. Cases are diverse in terms of location, wind climate, land cover, although all of them are in complex to extremely complex sites. To set aside dependence on user expertise, the authors have outlined a standard and uniform approach to CFD model setup, regardless of the case at hand. Model performance was evaluated by means of estimated average wind speed for sites where real observations were available. Errors from CFD estimates were significantly lower than those from WAsP in 9 out of 10 cases. Excluding the worst test case, average RMS from CFD is lower than half the RMS from WAsP. Scatter around RMS is still high, making a solid conclusion still risky. The authors would like to state that, regardless of the good CFD performance shown by this results, it is still not safe to establish that this CFD provides a better solution to wind resource assessment when compared to WAsP. The total number of cases is still small and the diversity of site conditions is far from appropriate for a more general conclusion. Moreover, cross-prediction of average wind speed for masts sites and measurement heights may not provide the best way to fully assess performance of a resource assessment and micrositing tool.
机译:计算流体动力学(CFD)对风力资源评估的应用已成为普通线性模型方法的真正替代,如黄蜂。然而,CFD计算中复杂性和用户专业知识的增加导致在建模方法之间进行性能时导致更大的困难。试图对这些问题的一些启蒙进行贡献,即在WASP和Meteodyn CFD估计之间的相对性能方面,作者已经收集了一组10个测试用例,其中比较了模型性能。案件在位置,风气候,陆地覆盖方面是多样的,尽管所有这些都是复杂的位点。为了依赖于用户专业知识,作者概述了CFD模型设置的标准和统一方法,无论手头的情况如何。通过估计可用的网站的估计平均风速评估模型性能。 CFD估计的错误显着低于10例中9例中的黄蜂。不包括最糟糕的测试用例,CFD的平均RMS低于WASP的RMS的一半。散落在RMS周围仍然很高,仍然存在稳定的结论仍然有风险。作者想说,无论该结果所示的良好的CFD性能如何,它仍然不安全地确定与WASP相比,该CFD提供了更好的风力资源评估解决方案。案件总数仍然很小,现场条件的多样性远非适当的成绩。此外,用于桅杆网站和测量高度的平均风速的交叉预测可能无法提供充分评估资源评估和微量工具的性能的最佳方法。

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