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Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different turbulent inflow conditions

机译:暴露于不同湍流条件下的两个直列式风力发电机之间性能和尾流的盲测比较

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pstrongAbstract./strong This is a summary of the results of the fourth blind test workshop that was held in Trondheim in October 2015. Herein, computational predictions on the performance of two in-line model wind turbines as well as the mean and turbulent wake flow are compared to experimental data measured at the wind tunnel of the Norwegian University of Science and Technology (NTNU). A detailed description of the model geometry, the wind tunnel boundary conditions and the test case??specifications was published before the workshop. Expert groups within computational fluid dynamics??(CFD) were invited to submit predictions on wind turbine performance and wake flow without knowing the experimental results at the outset. The focus of this blind test comparison is to examine the model turbines' performance and wake development with nine rotor diameters downstream at three different turbulent inflow conditions. Aside from a spatially uniform inflow field of very low-turbulence intensity (TIspan class="thinspace"/span=span class="thinspace"/span0.23span class="thinspace"/span%) and high-turbulence intensity (TIspan class="thinspace"/span=a??10.0span class="thinspace"/span%), the turbines are exposed to a grid-generated highly turbulent shear flow (TIspan class="thinspace"/span=a??10.1span class="thinspace"/span%)./br/brFive different research groups contributed their predictions using a variety of simulation models, ranging from fully resolved Reynolds-averaged Naviera??Stokes??(RANS) models to large eddy simulations??(LESs). For the three inlet conditions, the power and the thrust force of the upstream turbine is predicted fairly well by most models, while the predictions of the downstream turbine's performance show a significantly higher scatter. Comparing the mean velocity profiles in the wake, most models approximate the mean velocity deficit level sufficiently well. However, larger variations between the models for higher downstream positions are observed. Prediction of the turbulence kinetic energy in the wake is observed to be very challenging. Both the LES model and the IDDES (improved delayed detached eddy simulation) model, however, consistently manage to provide fairly accurate predictions of the wake turbulence./p.
机译:> >摘要。这是2015年10月在特隆赫姆举行的第四次盲测研讨会的结果摘要。在此,对两台直列式风力涡轮机的性能进行计算预测:并将平均和湍流尾流与在挪威科技大学(NTNU)风洞测得的实验数据进行比较。在研讨会之前,已发布了有关模型几何形状,风洞边界条件和测试案例规范的详细说明。在计算流体力学(CFD)领域的专家组被邀请提交有关风力涡轮机性能和尾流的预测,而一开始并不知道实验结果。这种盲目测试比较的重点是,在三种不同的湍流条件下,以下游9个转子直径检查模型涡轮的性能和尾流发展。除了湍流强度非常低的空间均匀流入场(TI class =“ thinspace”> = class =“ thinspace”> 0.23 class =“ thinspace”> < / span>%)和高湍流强度(TI class =“ thinspace”> = a ?? 10.0 class =“ thinspace”> %),则涡轮机暴露于网格产生的高湍流剪切流(TI class =“ thinspace”> = a ?? 10.1 class =“ thinspace”> %)。 5不同的研究小组使用各种模拟模型贡献了他们的预测,这些模型包括完全解析的雷诺平均Naviera斯托克斯(RANS)模型到大型涡流仿真(LESs)。对于三种进气情况,大多数模型都很好地预测了上游涡轮机的功率和推力,而对下游涡轮机性能的预测则显示出明显更高的分散性。比较尾流中的平均速度分布,大多数模型都很好地近似了平均速度不足水平。然而,在较高下游位置的模型之间观察到较大的变化。观察到尾流中湍流动能的预测非常具有挑战性。然而,LES模型和IDDES(改进的延迟分离涡模拟)模型始终能够提供关于尾流的相当准确的预测。

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