风力涡轮机尾流中涡流粘度的演变

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-03-30 DOI:10.5194/wes-8-449-2023
R. Scott, L. Martínez‐Tossas, J. Bossuyt, N. Hamilton, R. B. Cal
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引用次数: 2

摘要

摘要涡粘性假设是风力涡轮机尾流建模中用于估计湍流雷诺应力的一种流行方法。我们从实验和大涡模拟数据中记录了风力涡轮机尾流中涡粘度的下游演变。通过减去流入剖面,将尾流涡流粘度与其周围环境隔离开来,并确定每个尾流区域的驱动力。涡流粘度随涡轮机几何形状和机舱错位的变化而变化,较大的涡轮机产生更强的速度梯度和剪切应力。我们提出了一个基于瑞利分布的涡流粘度模型。模型参数是通过缩放涡流粘度假设获得的,并与参考数据证明了令人满意的一致性。该模型在稳态FLOw重定向和诱导(FLORIS)框架中的卷曲尾流公式中实现,并通过与先前公式的比较进行评估。我们的方法在大多数情况下产生了更准确的流场估计,总误差更低。
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Evolution of eddy viscosity in the wake of a wind turbine
Abstract. The eddy viscosity hypothesis is a popular method in wind turbine wake modeling for estimating turbulent Reynolds stresses. We document the downstream evolution of eddy viscosity in the wake of a wind turbine from experimental and large-eddy-simulation data. Wake eddy viscosity is isolated from its surroundings by subtracting the inflow profile, and the driving forces are identified in each wake region. Eddy viscosity varies in response to changes in turbine geometry and nacelle misalignment with larger turbines generating stronger velocity gradients and shear stresses. We propose a model for eddy viscosity based on a Rayleigh distribution. Model parameters are obtained from scaling the eddy viscosity hypothesis and demonstrate satisfactory agreement with the reference data. The model is implemented in the curled wake formulation in the FLOw Redirection and Induction in Steady State (FLORIS) framework and assessed through comparisons with the previous formulation. Our approach produced more accurate flow field estimates with lower total error for the majority of cases.
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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
期刊最新文献
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