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A model to estimate the effect of variables causing erosion in wind turbine blades
Wind Energy ( IF 4.0 ) Pub Date : 2021-02-08 , DOI: 10.1002/we.2615
Raúl Prieto 1 , Timo Karlsson 1
Affiliation  

The quantification of the severity of erosion in wind turbine blades is challenging due to the many aspects involved, including meteorology, aerodynamics, materials science, and wind turbine dynamics. A complete model relies on several building blocks, which cover the characterization of precipitation and aerosols, the trajectories of droplets and particles, the operational settings of the wind turbine, and finally the structural response of the leading edge to the large number of impacts across a spectrum of particle sizes and impacts speeds. This paper presents a multidisciplinary model, defining magnitudes representative of erosion severity and formulating their dependencies. The method uses the formula for the erosion incubation time as defined by Springer. The model incorporates the effect of wind velocity and density, particle size, and erosion intensity, and it allows four erosion mechanisms to be considered: rainfall, snowfall, sea spray, and fog. Comparison of the predicted erosion incubation time versus blade inspections shows good qualitative agreement. The equations from the model suggest that the characterization of atmospheric conditions at the site is essential for an accurate estimation of the severity of erosion. Equally important are the material properties, and the impingement process at the leading edge.

中文翻译:

估计导致风力涡轮机叶片腐蚀的变量影响的模型

由于涉及许多方面,包括气象学、空气动力学、材料科学和风力涡轮机动力学,因此量化风力涡轮机叶片侵蚀的严重程度具有挑战性。一个完整的模型依赖于几个构建块,包括降水和气溶胶的表征、液滴和粒子的轨迹、风力涡轮机的运行设置,最后是前缘对大量撞击的结构响应。粒径谱和冲击速度。本文提出了一个多学科模型,定义了代表侵蚀严重程度的量级并制定了它们的依赖关系。该方法使用 Springer 定义的侵蚀孵化时间公式。该模型结合了风速和密度、颗粒大小、和侵蚀强度,它允许考虑四种侵蚀机制:降雨、降雪、海浪和雾。预测侵蚀孵化时间与叶片检查的比较显示出良好的定性一致性。该模型的方程表明,现场大气条件的表征对于准确估计侵蚀的严重程度至关重要。同样重要的是材料特性和前缘的冲击过程。该模型的方程表明,现场大气条件的表征对于准确估计侵蚀的严重程度至关重要。同样重要的是材料特性和前缘的冲击过程。该模型的方程表明,现场大气条件的表征对于准确估计侵蚀的严重程度至关重要。同样重要的是材料特性和前缘的冲击过程。
更新日期:2021-02-08
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