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CFD modeling of wind turbine wake in wind farms.

机译:风电场中风轮机尾流的CFD建模。

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摘要

Wind energy is one of the most common and preferred renewable energy sources. Accurate predictions of atmospheric boundary layer flow, wind turbine induced wakes and their interaction are essential to maximize wind power output and efficiently harness wind energy. In this dissertation, a computational fluid dynamics (CFD) flow model is developed utilizing a three dimensional weighted essentially non-oscillatory (WENO) high order Finite Volume Model system including Large Eddy Simulation (LES) and the Actuator Line Method (ALM). The developed model system is thus able to accurately capture and simulate wind turbine wakes and their interaction with the atmospheric boundary layer, thereby providing insight into the phenomenon of turbine wake interaction and its effect on the external aerodynamic loads on wind turbines. This enables the wind energy production to be maximized and also minimizes turbine fatigue loading in the evaluation of wind farm layouts.;By using LES model to simulate the Atmospheric Boundary Layer flow rather than the Reynolds-Averaged Navier-Stokes (RANS) model, the error introduced by turbulence modeling is reduced. The Actuator Line Model, ALM, is used to model the rotor by replacing the rotor with radially distributed body forces. It is more accurate than the actuator disc method as it captures the influence of the blade tip vortices. It can focus on a larger portion of the wake without resolving the actual wind turbine blades' geometry, thereby reducing computational cost. It is suitable and a promising method for wind turbine wake simulation.;Classic non-trivial turbulent benchmark cases are used to validate the high order LES algorithms. Simulation results are compared with available results whenever possible, with good agreement observed. Results for the atmospheric boundary layer under neutral conditions are presented. By using LES coupled with the Actuator Line model, simulation results are obtained for detailed wake flow features around single wind turbine as well as wind turbine arrays.
机译:风能是最常见和首选的可再生能源之一。准确预测大气边界层流量,风力涡轮机引起的尾流及其相互作用对于最大化风能输出和有效利用风能至关重要。本文利用三维加权的基本无振荡(WENO)高阶有限体积模型系统,包括大涡模拟(LES)和执行器线法(ALM),建立了计算流体动力学(CFD)流动模型。因此,开发的模型系统能够准确地捕获和模拟风力涡轮机尾流及其与大气边界层的相互作用,从而深入了解涡轮机尾流相互作用的现象及其对风力涡轮机外部空气动力负荷的影响。这使风能的产量最大化,并在评估风场布局时最大程度地降低了涡轮机疲劳负荷。通过使用LES模型来模拟大气边界层流,而不是使用雷诺平均Navier-Stokes(RANS)模型,减少了由湍流建模引入的误差。执行器线模型ALM用于通过用径向分布的体力替换转子来对转子建模。它比执行器盘方法更精确,因为它可以捕获叶片尖端涡流的影响。它可以专注于较大的尾流,而无需解决实际风力涡轮机叶片的几何形状,从而降低了计算成本。这是一种适用于风力涡轮机尾流仿真的方法,它是一种很有前途的方法。;使用经典的非平凡湍流基准案例验证了高阶LES算法。只要有可能,就将仿真结果与可用结果进行比较,并观察到良好的一致性。给出了在中性条件下大气边界层的结果。通过将LES与执行器线模型结合使用,可以获得有关单个风力涡轮机以及风力涡轮机阵列周围详细尾流特征的仿真结果。

著录项

  • 作者

    Sun, Lijian.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Mechanical engineering.;Energy.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 156 p.
  • 总页数 156
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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