Rain-induced leading-edge erosion (LEE) of wind turbine blades (WTBs) is associated with high repair and maintenance costs. The effects of LEE can be triggered in less than 1 to 2 years for some wind turbine sites, whereas it may take several years for others. In addition, the growth of erosion may also differ for different blades and turbines operating at the same site. Hence, LEE is a site- and turbine-specific problem. In this paper, we propose a probabilistic long-term framework for assessing site-specific lifetime of a WTB coating system. Case studies are presented for 1.5 and 10 MW wind turbines, where geographic bubble charts for the leading-edge lifetime and number of repairs expected over the blade's service life are established for 31 sites in the Netherlands. The proposed framework efficiently captures the effects of spatial and orographic features of the sites and wind turbine specifications on LEE calculations. For instance, the erosion is highest at the coastal sites and for sites located at higher altitudes. In addition, erosion is faster for turbines associated with higher tip speeds, and the effects are critical for such sites where the exceedance probability for rated wind conditions are high. The study will aid in the development of efficient operation and maintenance strategies for wind farms.

中文翻译：

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风力涡轮机叶片特定地点侵蚀分析的概率长期框架：荷兰 31 个地点的案例研究

风力涡轮机叶片 (WTB) 的雨引起的前缘侵蚀 (LEE) 与高昂的维修和维护成本有关。对于某些风力涡轮机站点，LEE 的影响可以在不到 1 到 2 年的时间内触发，而对于其他站点则可能需要数年时间。此外，对于在同一地点运行的不同叶片和涡轮机，侵蚀的增长也可能不同。因此，LEE 是特定于站点和涡轮机的问题。在本文中，我们提出了一个概率长期框架，用于评估 WTB 涂层系统的特定站点寿命。介绍了 1.5 和 10 MW 风力涡轮机的案例研究，其中为荷兰的 31 个站点建立了前沿寿命的地理气泡图和叶片使用寿命内预期的维修次数。所提出的框架有效地捕捉了场地的空间和地形特征以及风力涡轮机规格对 LEE 计算的影响。例如，沿海站点和位于较高海拔的站点的侵蚀最高。此外，与较高叶尖速度相关的涡轮机的侵蚀速度更快，并且对于额定风况超出概率高的此类场所，其影响至关重要。该研究将有助于为风电场制定有效的运营和维护策略。对于额定风况超出概率较高的场所，这种影响至关重要。该研究将有助于为风电场制定有效的运营和维护策略。对于额定风况超出概率较高的场所，这种影响至关重要。该研究将有助于为风电场制定有效的运营和维护策略。