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Wind Farm Simulations Using an Overset hp-Adaptive Approach with Blade-Resolved Turbine Models

机译:使用超高压hp自适应方法和叶片解析涡轮模型进行风电场模拟

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Blade-resolved numerical simulations of wind energy applications using full blade and tower models are presented. The computational methodology combines solution technologies in a multi-mesh, multi-solver paradigm through a dynamic overset framework. The coupling of a finite-volume solver and a high-order, hp-adaptive finite-element solver is utilized. Additional technologies including in-situ visualization and atmospheric micro-scale modeling are incorporated into the analysis environment. Validation of the computational framework is performed on the NREL 5MW baseline wind turbine, the unsteady aerodynamics experimental NREL Phase VI turbine, and the Siemens SWT-2.3-93 wind turbine. The power and thrust results of all single turbine simulations agree well with low-fidelity model simulation results and field experiments when available. Scalability of the computational framework is demonstrated using 6, 12, 24, 48, and 96 wind turbine wind plant set-ups including the 48 turbine wind plant known as Lillgrund. Demonstration of the coupling of atmospheric micro-scale and CFD solvers is presented using the NCAR WRF solver and the NREL SOWFA solver. Comprehensive validation with measurements will be the focus of future research of the computational framework.
机译:提出了使用完整叶片和塔架模型的风能应用的叶片解析数值模拟。该计算方法通过动态覆盖框架在多网格,多求解器范例中结合了解决方案技术。利用有限体积求解器和高阶,hp自适应有限元求解器的耦合。分析环境中还包含了其他技术,包括原位可视化和大气微尺度建模。计算框架的验证是在NREL 5MW基准风力涡轮机,非定常空气动力学实验性NREL VI阶段涡轮机和Siemens SWT-2.3-93风力涡轮机上进行的。所有单个涡轮机仿真的功率和推力结果与低保真模型仿真结果和现场实验(如果可用)非常吻合。使用6、12、24、48和96个风力涡轮机风力发电站设置(包括称为Lillgrund的48个风力涡轮机风力发电站)演示了计算框架的可伸缩性。使用NCAR WRF求解器和NREL SOWFA求解器演示了大气微尺度和CFD求解器的耦合。测量的全面验证将是计算框架未来研究的重点。

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