场地特定风力条件和个体节距控制对叶片轴承磨损的影响

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-10-09 DOI:10.5194/wes-8-1495-2023
Arne Bartschat, Karsten Behnke, Matthias Stammler
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引用次数: 0

摘要

摘要螺距控制器的特性决定了风力发电机对不同风力条件的反应。像单个俯仰控制这样的控制策略以其降低风力涡轮机结构的载荷周期幅值的能力而闻名,同时以一种具有挑战性的方式影响叶片轴承的运行条件。然而,控制策略并不是影响叶片轴承磨损和滚道疲劳等失效模式的唯一因素。场地特定的和随机的风条件可能导致磨损临界工况,这通常不会反映在空气弹性模拟的相当短的时间框架中。这项工作分析了一个特定地点的典型风和操作条件对叶片轴承磨损的影响。它是基于测量的风条件和单个螺距控制的IWT-7.5-164参考风力涡轮机关于其螺距活动的建模行为。模拟数据用于确定最长的不间断磨损临界运行时间,并基于此创建缩放和实际尺寸叶片轴承的测试程序。基于该试验程序的试验结果表明,风力发电机在正常运行过程中可能出现磨损临界工况,并对轴承滚道造成轻度磨损损伤。
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The effect of site-specific wind conditions and individual pitch control on wear of blade bearings
Abstract. The characteristics of a pitch controller determine how the wind turbine reacts to different wind conditions. Control strategies like individual pitch control are known for their ability to reduce the amplitudes of load cycles of the structures of the wind turbine while influencing the operation conditions of the blade bearings in a challenging way. However, the control strategy is not the only influencing factor with respect to failure modes of blade bearings like wear and raceway fatigue. The site-specific and stochastic wind conditions can cause wear-critical operating conditions, which are usually not reflected in the rather short time frames of aeroelastic simulations. This work analyses exemplary wind and operating conditions of one specific site regarding their influence on wear in blade bearings. It is based on measured wind conditions and the modeled behavior of the individual pitch-controlled IWT-7.5-164 reference wind turbine with respect to its pitch activity. The simulation data are used to determine the longest period of uninterrupted wear-critical operation and create a test program based on it for scaled and real-size blade bearings. Experimental results based on this test program show that wear-critical operation conditions can occur during normal operation of a wind turbine and cause mild wear damage to the bearing raceways.
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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
期刊最新文献
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