为风洞试验开发数字孪生框架:湍流流入和机翼载荷应用的验证

Rishabh Mishra, E. Guilmineau, I. Neunaber, C. Braud
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摘要

摘要水平轴风力涡轮机和垂直轴风力涡轮机等风能系统在湍流大气边界层中运行,湍流对其效率有显著影响。因此,研究湍流流入对转子叶片气动性能的影响至关重要。由于实地调查具有挑战性,在这项工作中,我们提出了一个框架,将湍流中的风洞测量与实验装置的数字孪生相结合。为此,首先需要正确描述和模拟湍流的衰减。在这里,我们使用 k-ω 湍流模型进行雷诺平均纳维-斯托克斯(RANS)模拟,其中需要一个合适的湍流长度尺度作为入口边界条件。虽然积分长度尺度的选择通常没有理论依据,但本研究得出泰勒微尺度是模拟规则网格产生的湍流的正确选择:通过求解 Speziale 和 Bernard(1992 年)给出的微分方程,证明湍流动能(TKE)的时间衰减取决于泰勒微尺度的初始值。此外,还推导出了 TKE 的空间衰减及其与入口边界泰勒微尺度的关系。在此理论基础上,使用泰勒微尺度和网格实验得到的 TKE 作为入口边界条件,用 k-ω 湍流模型进行 RANS 模拟。其次,研究结果与通过风洞热丝测量获得的网格下游 TKE 演变非常吻合。第三,研究进一步在实验和数值环境中引入了机翼,并进行了三维模拟。结果发现,实验和数字孪生得到的力系数非常吻合。总之,本研究证明泰勒微尺度是合适的湍流长度尺度,可用作边界条件和初始条件来模拟规则网格产生的湍流的 TKE 演变。此外,数字孪生风洞可以精确复制在物理风洞中获得的力系数。
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Developing a digital twin framework for wind tunnel testing: validation of turbulent inflow and airfoil load applications
Abstract. Wind energy systems, such as horizontal-axis wind turbines and vertical-axis wind turbines, operate within the turbulent atmospheric boundary layer, where turbulence significantly impacts their efficiency. Therefore, it is crucial to investigate the impact of turbulent inflow on the aerodynamic performance at the rotor blade scale. As field investigations are challenging, in this work, we present a framework where we combine wind tunnel measurements in turbulent flow with a digital twin of the experimental set-up. For this, first, the decay of the turbulent inflow needs to be described and simulated correctly. Here, we use Reynolds-averaged Navier–Stokes (RANS) simulations with k−ω turbulence models, where a suitable turbulence length scale is required as an inlet boundary condition. While the integral length scale is often chosen without a theoretical basis, this study derives that the Taylor micro-scale is the correct choice for simulating turbulence generated by a regular grid: the temporal decay of turbulent kinetic energy (TKE) is shown to depend on the initial value of the Taylor micro-scale by solving the differential equations given by Speziale and Bernard (1992). Further, the spatial decay of TKE and its dependence on the Taylor micro-scale at the inlet boundary are derived. With this theoretical understanding, RANS simulations with k−ω turbulence models are conducted using the Taylor micro-scale and the TKE obtained from grid experiments as the inlet boundary condition. Second, the results are validated with excellent agreement with the TKE evolution downstream of a grid obtained through hot-wire measurements in the wind tunnel. Third, the study further introduces an airfoil in both the experimental and the numerical setting where 3D simulations are performed. A very good match between force coefficients obtained from experiments and the digital twin is found. In conclusion, this study demonstrates that the Taylor micro-scale is the appropriate turbulence length scale to be used as the boundary condition and initial condition to simulate the evolution of TKE for regular-grid-generated turbulent flows. Additionally, the digital twin of the wind tunnel can accurately replicate the force coefficients obtained in the physical wind tunnel.
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