Alignment calibration and correction for offshore wind measurements using scanning lidars

Author:

Gramitzky Kira,Jäger Florian,Hildebrand Tabea,Gloria Nathalie,Riechert Jens,Steger Matthias,Pauscher Lukas

Abstract

Abstract Long range scanning lidars offer great potential to measure wind characteristics for a variety of application in offshore wind energy. In order to derive accurate wind measurements it is critical to thoroughly calibrate the beam alignment. In offshore environments, the pitch and roll angle of a scanning lidar can be determined from sea surface levelling (SSL). This paper compares two methods to perform SSL, a method based on PPI scans and a novel method using RHI scans. Moreover, a previously described method to identify the distance at which the laser beam enters the water is extended to be applicable to larger measurement distances. Based on data from an offshore campaign in the North Sea, the differences between the RHI and PPI methods and their sensitivity to the selected elevation angles (PPI) and distances (RHI) are analysed. It is shown that both SSL methods prove to be robust for determining pitch and roll for all examined settings. The average results of the two methods show only minor differences. The standard deviation across all settings and both methods is 0.010° for pitch and 0.024° for roll. Compared to typically observed platform movements introduced by thrust on the wind turbine, the differences between different SSL settings are small. Comparison of the platform movements measured by the high sensitivity inclinometer and SSL shows that even slight differences in pitch and roll can be detected by SSL. This indicates a high level of accuracy for both methods investigated.

Publisher

IOP Publishing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3