On the Energy Requirements of UAVs Used for Blade Inspection in Offshore Wind Farms

J. Aquilina, R. Farrugia, T. Sant
{"title":"On the Energy Requirements of UAVs Used for Blade Inspection in Offshore Wind Farms","authors":"J. Aquilina, R. Farrugia, T. Sant","doi":"10.1109/OSES.2019.8867145","DOIUrl":null,"url":null,"abstract":"Offshore wind energy is being seen as a major energy player as the quest for clean renewable energy solutions intensifies. Wind turbines operating at sea are subjected to a harsh and unforgiving marine environment that calls for timely inspections and maintenance in order to maintain high levels of availability. Inspections at height and especially at sea are inherently time-consuming, expensive and fraught with risks, so the automation of such procedures will benefit the industry at all levels. Unmanned Aerial Vehicles (UAVs) are finding niche applications as a remote sensing tool in various sectors, one of which is wind turbine inspection. This paper investigates the onboard energy requirements and operational flight duration of a drone used for offshore wind turbine inspections subject to aspects such as wind turbine size and site wind conditions. The energy requirements of the UAV are numerically modelled using a single-wind turbine blade inspection routine as a basis. Flight path distance is inherently linked to wind turbine blade length and, based on the need for four passes per blade during an inspection, this property featured prominently on the UAV's performance. The research then moved on to investigate UAV energy requirements for multiple-wind turbine arrays with factors such as wind speed and direction, inter-turbine spacing and array layout and rotor wakes being considered. This part of the study utilised the numerical model mentioned earlier and the WindPRO software package. The undisturbed wind speed was declared as that characteristic having the highest influence on energy consumption and flight duration. Wind direction, wind turbine rotor wake and inter-turbine downwind spacing were the other forcing factors considered, with the significance of their impacts in the same order respectively. The results of this study identify the effects of the various parameters on UAV energy requirements and inspection flight duration as a means of enabling better planning and optimisation of offshore wind turbine blade inspection using drones.","PeriodicalId":416860,"journal":{"name":"2019 Offshore Energy and Storage Summit (OSES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Offshore Energy and Storage Summit (OSES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OSES.2019.8867145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Offshore wind energy is being seen as a major energy player as the quest for clean renewable energy solutions intensifies. Wind turbines operating at sea are subjected to a harsh and unforgiving marine environment that calls for timely inspections and maintenance in order to maintain high levels of availability. Inspections at height and especially at sea are inherently time-consuming, expensive and fraught with risks, so the automation of such procedures will benefit the industry at all levels. Unmanned Aerial Vehicles (UAVs) are finding niche applications as a remote sensing tool in various sectors, one of which is wind turbine inspection. This paper investigates the onboard energy requirements and operational flight duration of a drone used for offshore wind turbine inspections subject to aspects such as wind turbine size and site wind conditions. The energy requirements of the UAV are numerically modelled using a single-wind turbine blade inspection routine as a basis. Flight path distance is inherently linked to wind turbine blade length and, based on the need for four passes per blade during an inspection, this property featured prominently on the UAV's performance. The research then moved on to investigate UAV energy requirements for multiple-wind turbine arrays with factors such as wind speed and direction, inter-turbine spacing and array layout and rotor wakes being considered. This part of the study utilised the numerical model mentioned earlier and the WindPRO software package. The undisturbed wind speed was declared as that characteristic having the highest influence on energy consumption and flight duration. Wind direction, wind turbine rotor wake and inter-turbine downwind spacing were the other forcing factors considered, with the significance of their impacts in the same order respectively. The results of this study identify the effects of the various parameters on UAV energy requirements and inspection flight duration as a means of enabling better planning and optimisation of offshore wind turbine blade inspection using drones.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
海上风电场叶片检测用无人机能量需求研究
随着对清洁可再生能源解决方案的追求加剧,海上风能正被视为一个主要的能源参与者。在海上运行的风力涡轮机受到恶劣和无情的海洋环境的影响,需要及时检查和维护,以保持高水平的可用性。高空检查,特别是海上检查,本身就是耗时、昂贵且充满风险的,因此此类程序的自动化将使各个层面的行业受益。无人驾驶飞行器(uav)作为遥感工具正在各个领域寻找利基应用,其中之一是风力涡轮机检测。本文研究了用于海上风力涡轮机检查的无人机的机载能量需求和运行飞行时间,受风力涡轮机尺寸和现场风力条件等方面的影响。无人机的能量需求使用单个风力涡轮机叶片检查程序作为基础进行数值模拟。飞行路径距离本质上与风力涡轮机叶片长度有关,并且基于在检查期间每个叶片需要四次通过,这一特性在无人机的性能中占有突出地位。在考虑风速和风向、风机间距和阵列布局以及旋翼尾迹等因素的情况下,研究了无人机对多风力机阵列的能量需求。这一部分的研究使用了前面提到的数值模型和WindPRO软件包。未受干扰的风速被认为是对能量消耗和飞行时间影响最大的特征。风向、风机转子尾迹和风机间下风间距是考虑的其他强迫因素,它们的影响程度依次相同。本研究的结果确定了各种参数对无人机能量需求和检查飞行时间的影响,作为使用无人机更好地规划和优化海上风力涡轮机叶片检查的一种手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Evaluating the regional potential for emissions reduction using energy storage A comparative study of the Adiabatic Compressed Air Energy Storage (A-CAES) and Pumped Thermal Energy Storage (PTES) systems Modelling the effects of low-cost large-scale energy storage in the UK electricity network Present Status and Challenges for the Interaction between Offshore Wind Farms and Maritime Navigation in the Taiwan Strait Modeling of Multiterminal HVDC Offshore Grids with Renewable Energy and Storage Integration by Opensource Tools
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1