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IR thermographic flow visualization for the quantification of boundary layer flow disturbances due to the leading edge condition

机译:红外热成像流动可视化,用于量化由于前沿条件引起的边界层流动扰动

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The aerodynamic performance of wind turbine rotor blades is influenced by the leading edge condition. Contamination and erosion cause increased surface roughness, unevenness or defects, which affect the boundary layer flow and, thus, reduce lift and increase drag. Current approaches used to determine the disturbed boundary layer flow are based on invasive flow probes with limited spatial resolution; therefore, a non-invasive, camera-based measurement of the boundary layer flow disturbances on wind turbines in operation is proposed using thermographic flow visualization. The actual and the undisturbed laminar-turbulent transition positions are determined in the thermographic images and a subsequent assignment to the rotor blade geometry obtains chord-based information. The normalized difference of both transition positions can be used as a metric to describe the extent of the disturbed boundary layer flow. The approach is demonstrated on a multi-MW horizontal axis wind turbine with a laminar flow reduction of up to 90.4 %. Furthermore, the measurement results allow the estimation of the annual energy production loss due to the leading edge condition, which enhances the industrial standard of simply comparing clean and tripped aerodynamic polars. For the investigated wind turbine, the annual energy production loss amounts to 4.7 % at 6 m/s average wind speed. (C) 2019 Elsevier Ltd. All rights reserved.
机译:风力涡轮机转子叶片的空气动力学性能受前缘条件的影响。污染和侵蚀会导致表面粗糙度,不平整度或缺陷增加,从而影响边界层流动,从而降低升力并增加阻力。当前用于确定扰动边界层流量的方法是基于空间分辨率有限的侵入式流量探头。因此,提出了一种使用热成像流可视化技术的无创,基于摄像机的风力涡轮机运行中边界层流扰动测量方法。在热成像图像中确定实际的层流和未扰动的层流湍流过渡位置,随后对转子叶片几何形状的分配将获得基于弦的信息。两个过渡位置的归一化差异可以用作描述受干扰边界层流动程度的度量。该方法在多兆瓦水平轴风力涡轮机上得到了验证,层流降低了90.4%。此外,测量结果还可以估算由于前沿条件造成的年度能源生产损失,从而提高了简单比较干净的和脱扣的空气动力极的工业标准。对于所研究的风力涡轮机,平均风速为6 m / s时,年发电量损失为4.7%。 (C)2019 Elsevier Ltd.保留所有权利。

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