基于吊舱的激光雷达系统对漂浮式风力涡轮机运动影响的量化和校正

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Moritz Gräfe, Vasilis Pettas, J. Gottschall, P. Cheng
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引用次数: 1

摘要

摘要基于机舱的激光雷达系统的流入风场测量为不同的应用提供了巨大的潜力,包括涡轮机控制、负载验证和功率性能测量。在浮动风力涡轮机上,基于机舱的激光雷达测量受到浮动基础动态行为的影响。因此,必须了解漂浮物动力学对激光雷达风速测量的影响。在这项工作中,我们研究了漂浮物运动对安装在漂浮式离岸风力涡轮机(FOWT)上的基于机舱的前瞻性激光雷达系统风速测量的影响,并提出了校正运动引起的影响的方法。我们使用分析模型,采用测量不确定性表达指南(GUM)方法和激光雷达数值模拟来量化不确定性。研究发现,激光雷达风速估计的不确定性主要是由漂浮物的俯仰位移引起的激光雷达的前后运动引起的。因此,不确定性在很大程度上取决于俯仰运动的幅度和频率。10的偏差 最小平均风速估计主要受浮筒的平均桨距角和桨距振幅的影响。我们使用基于模型的方法校正了时间平均激光雷达风速测量中由运动引起的偏差,采用了所开发的不确定性和偏差量化分析模型。使用来自两个不同FOWT概念的模拟动力学对该方法进行的测试显示出良好的结果,剩余平均误差低于0.1 m s−1.为了校正瞬时测量中的运动引起的波动,我们使用频率滤波器来校正瞬时测量的浮子俯仰运动引起的变化。校正方法的性能取决于FOWT设计的基音周期和幅度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification and correction of motion influence for nacelle-based lidar systems on floating wind turbines
Abstract. Inflow wind field measurements from nacelle-based lidar systems offer great potential for different applications including turbine control, load validation, and power performance measurements. On floating wind turbines nacelle-based lidar measurements are affected by the dynamic behavior of the floating foundations. Therefore, the effects on lidar wind speed measurements induced by floater dynamics must be understood. In this work, we investigate the influence of floater motions on wind speed measurements from forward-looking nacelle-based lidar systems mounted on floating offshore wind turbines (FOWTs) and suggest approaches for correcting motion-induced effects. We use an analytical model, employing the guide for the expression of uncertainty in measurements (GUM) methodology and a numerical lidar simulation for the quantification of uncertainties. It is found that the uncertainty of lidar wind speed estimates is mainly caused by the fore–aft motion of the lidar, resulting from the pitch displacement of the floater. Therefore, the uncertainty is heavily dependent on the amplitude and the frequency of the pitch motion. The bias of 10 min mean wind speed estimates is mainly influenced by the mean pitch angle of the floater and the pitch amplitude. We correct motion-induced biases in time-averaged lidar wind speed measurements with a model-based approach, employing the developed analytical model for uncertainty and bias quantification. Testing of the approach with simulated dynamics from two different FOWT concepts shows good results with remaining mean errors below 0.1 m s−1. For the correction of motion-induced fluctuation in instantaneous measurements, we use a frequency filter to correct fluctuations caused by floater pitch motions for instantaneous measurements. The correction approach's performance depends on the pitch period and amplitude of the FOWT design.
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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
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