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Methodology for the energetic characterisation of rain erosion on wind turbine blades using meteorological data: A case study for The Netherlands
Wind Energy ( IF 4.1 ) Pub Date : 2021-01-07 , DOI: 10.1002/we.2597
Luis Bartolomé 1 , Julie Teuwen 1
Affiliation  

Rain erosion on the leading edge of wind turbine blades is an intricate engineering challenge for the wind industry. Based on an energetic approach, this work proposes a methodology to characterise the erosion capacity of the raindrop impacts onto the leading edge blades. This methodology can be used with meteorological data from public institutions or from direct measurements at the wind turbine locations. The erosion characterisation is analysed using accumulative and per impact erosive variables, that is, total kinetic energy and kinetic energy per impact. To consider the frequency of impacts, two erosive variables are proposed, namely, total kinetic power and kinetic power per impact. These variables are calculated using the data from the Royal Netherlands Meteorological Institute (Koninklijk Nederlands Meteorologisch Instituut, KNMI) of the last 25 years jointly with the operation specifications of an actual wind turbine model (Suzlon S111). The main contribution to the erosive variables was found to be the wind speed because it controls the rotational velocity of the wind turbine. Also, the intensity of the rainfall and the frequency of meteorological data logging, that is, the temporal resolution of data, play a significant role.

中文翻译:

使用气象数据对风力涡轮机叶片上的雨水侵蚀进行能量表征的方法:荷兰的案例研究

风力涡轮机叶片前缘的雨水侵蚀是风电行业的一项复杂工程挑战。基于一种能量方法,这项工作提出了一种方法来表征雨滴撞击前缘叶片的侵蚀能力。该方法可用于来自公共机构的气象数据或来自风力涡轮机位置的直接测量数据。使用累积和每次冲击侵蚀变量来分析侵蚀特征,即总动能和每次冲击的动能。为了考虑撞击频率,提出了两个侵蚀变量,即总动能和每次撞击的动能。这些变量是使用荷兰皇家气象研究所 (Royal Dutch Meteorological Institute) 的数据计算得出的 (Koninklijk Nederlands Meteorologisch Instituut , KNMI) 与实际风力涡轮机模型 (Suzlon S111) 的运行规范相结合。发现对侵蚀变量的主要贡献是风速,因为它控制着风力涡轮机的旋转速度。此外,降雨强度和气象数据记录的频率,即数据的时间分辨率,也起着重要作用。
更新日期:2021-01-07
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