Vibration Energy Harvesting for Information Transmission on Offshore Wind Turbine Blade

T. Wen, Y. Shi, Y. Jia
{"title":"Vibration Energy Harvesting for Information Transmission on Offshore Wind Turbine Blade","authors":"T. Wen, Y. Shi, Y. Jia","doi":"10.1109/PowerMEMS49317.2019.92321102084","DOIUrl":null,"url":null,"abstract":"Composite materials have great advantages in their mechanical properties while being lightweight, and are widely used in various fields, especially in aerospace, automotive and medical sectors. However, the uncontrollability and difficulty in prediction of damage propagation has limited its application circumstances. Early damage detection through in situ monitoring from integrated wireless sensors is regarded as an effective solution. Therefore, energy harvesting from the vibration of wind turbine blade can be a key enabling technology to power the wireless sensors for in situ damage monitoring under complex application circumstance, where conventional power supply is not feasible due to the bulky alterations to the blade structural profile. This paper investigates the integration of macro-fibre composite (MFC) onto glass fibre composite wind turbine and explores the capacity of power generation based on ambient vibration, in order to equip the blades with piezoelectric vibration energy harvesting (PVEH) to power associated structure health monitoring (SHM) functionalities in future studies.","PeriodicalId":6648,"journal":{"name":"2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)","volume":"2 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PowerMEMS49317.2019.92321102084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Composite materials have great advantages in their mechanical properties while being lightweight, and are widely used in various fields, especially in aerospace, automotive and medical sectors. However, the uncontrollability and difficulty in prediction of damage propagation has limited its application circumstances. Early damage detection through in situ monitoring from integrated wireless sensors is regarded as an effective solution. Therefore, energy harvesting from the vibration of wind turbine blade can be a key enabling technology to power the wireless sensors for in situ damage monitoring under complex application circumstance, where conventional power supply is not feasible due to the bulky alterations to the blade structural profile. This paper investigates the integration of macro-fibre composite (MFC) onto glass fibre composite wind turbine and explores the capacity of power generation based on ambient vibration, in order to equip the blades with piezoelectric vibration energy harvesting (PVEH) to power associated structure health monitoring (SHM) functionalities in future studies.
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
海上风电叶片振动能量收集与信息传递
复合材料在轻量化的同时具有良好的力学性能,被广泛应用于各个领域,特别是航空航天、汽车和医疗领域。然而,损伤传播的不可控性和难以预测限制了其应用。通过集成无线传感器的现场监测进行早期损伤检测是一种有效的解决方案。因此,在复杂的应用环境下,由于叶片结构外形的巨大改变,传统的供电方式是不可用的,因此从风力涡轮机叶片振动中收集能量是为无线传感器提供原位损伤监测的关键使能技术。本文研究了宏纤维复合材料(MFC)与玻璃纤维复合材料风力发电机的集成,并探讨了基于环境振动的发电能力,以便在未来的研究中为叶片配备压电振动能量收集(PVEH),为相关结构健康监测(SHM)功能提供动力。
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
Thermal Insulation Design of Portable Radioisotope Electrical Generators Multi-Megahertz IPT Systems for Biomedical Devices Applications Modeling and Analysis of a Piezoelectric Stick-slip Energy Harvester Thermal energy harvesting through the fur of endothermic animals Mems Ion Sources For Spectroscopic Identification Of Gaseous And Liquid Samples
×
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