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Mapping Wind Farm Loads and Power Production - A Case Study on Horns Rev 1

机译:风电场负荷与电力生产的映射 - 以Horns Rev 1为例

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摘要

This paper describes the development of a wind turbine (WT) component lifetime fatigue load variation map within an offshore wind farm. A case study on the offshore wind farm Horns Rev I is conducted with this purpose, by quantifying wake effects using the Dynamic Wake Meandering (DWM) method, which has previously been validated based on CFD, Lidar and full scale load measurements. Fully coupled aeroelastic load simulations using turbulent wind conditions are conducted for all wind directions and mean wind speeds between cut-in and cut-out using site specific turbulence level measurements. Based on the mean wind speed and direction distribution, the representative 20-year lifetime fatigue loads are calculated. It is found that the heaviest loaded WT is not the same when looking at blade root, tower top or tower base components. The blade loads are mainly dominated by the wake situations above rated wind speed and the highest loaded blades are in the easternmost row as the dominating wind direction is from West. Regarding the tower components, the highest loaded WTs are also located towards the eastern central location. The turbines with highest power production are, not surprisingly, the ones facing a free sector towards west and south. The power production results of few turbines are compared with SCADA data. The results of this paper are expected to have significance for operation and maintenance planning, where the schedules for inspection and service activities can be adjusted to the requirements arising fromthe varying fatigue levels. Furthermore, the results can be used in the context of remaining fatigue lifetime assessment and planning of decommissioning.
机译:本文介绍了海上风力发电场中风力涡轮机(WT)组件寿命疲劳载荷变化图的开发。为此,通过使用动态唤醒蜿蜒(DWM)方法量化尾流影响,对海上风电场Horns Rev I进行了案例研究,该方法先前已基于CFD,激光雷达和满量程负载测量进行了验证。在所有风向都使用湍流条件进行了完全耦合的空气弹性载荷模拟,并使用了特定地点的湍流水平测量值来计算切入和切出之间的平均风速。根据平均风速和方向分布,计算出具有代表性的20年寿命疲劳载荷。发现当查看叶片根部,塔顶或塔底组件时,最重的WT不同。叶片载荷主要受额定风速以上的尾流情况所支配,最高载荷的叶片位于最东行,因为主导风向来自西。关于塔架组件,负载最高的WT也位于东部中心位置。毫不奇怪,发电量最高的涡轮机将面临向着西部和南部的自由领域发展。将少量涡轮机的发电结果与SCADA数据进行了比较。预期本文的结果对于运营和维护计划具有重要意义,在该计划中,可以将检查和服务活动的时间表调整为适应因疲劳程度不同而引起的要求。此外,该结果可用于剩余疲劳寿命评估和退役计划。

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