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IEA-Task 31 WAKEBENCH:Towards a protocol for wind farm flow model evaluation. Part 2:Wind farm wake models

机译:IEA-Task 31 Wakebench:迈向风电场流动模型评估的协议。第2部分:风电场唤醒模型

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Researchers within the International Energy Agency (IEA) Task 31:Wakebench have created a framework for the evaluation of wind farm flow models operating at the microscale level. The framework consists of a model evaluation protocol integrated with a web-based portal for model benchmarking (www.windbench.net). This paper provides an overview of the building-block validation approach applied to wind farm wake models, including best practices for the benchmarking and data processing procedures for validation datasets from wind farm SCADA and meteorological databases. A hierarchy of test cases has been proposed for wake model evaluation, from similarity theory of the axisymmetric wake and idealized infinite wind farm, to single-wake wind tunnel (UMN-EPFL) and field experiments (Sexbierum), to wind farm arrays in offshore (Horns Rev, Lillgrund) and complex terrain conditions (San Gregorio). A summary of results from the axisymmetric wake, Sexbierum, Horns Rev and Lillgrund benchmarks are used to discuss the state-of-the-art of wake model validation and highlight the most relevant issues for future development.
机译:国际能源机构(IEA)任务31:Wakebench创建了一个在微观级别运行的风电场流模型评估的框架。该框架由集成的模型评估协议与模型基准测试(www.windbench.net)集成的模型评估协议。本文介绍了应用于风电场唤醒模型的构建块验证方法的概述,包括基准和数据处理程序,用于验证风电场SCADA和气象数据库的验证数据集的最佳实践。已经提出了试验箱的层次,从轴对称唤醒和理想化的无限风电场的相似性理论,单尾风隧道(UMN-EPFL)和现场实验(Sexbierum),到海上风电场阵列(Horns Rev,Lillgrund)和复杂的地形条件(San Gregorio)。轴对称唤醒,Sexbierum,Horns Rev和Lillgrund基准的结果摘要用于讨论唤醒模型验证的最先进,并突出显示最相关的问题。

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