A Combined Wind Harvesting and Speed Sensing System Based on Constant‐Voltage Triboelectric Nanogenerator

Author:

Hu Yuexiao12,Li Xinyuan2,Gao Yikui2,Zhao Zhihao2,Liu Xiaoru2,He Lixia1,Zhang Baofeng3,Zhou Linglin2,Wang Zhong Lin45,Wang Jie4ORCID

Affiliation:

1. Center on Nanoenergy Research Institute of Science and Technology for Carbon Peak & Neutrality Key Laboratory of Blue Energy and Systems Integration (Guangxi University) Education Department of Guangxi Zhuang Autonomous Region School of Physical Science & Technology Guangxi University Nanning 530004 China

2. Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 China

3. Hubei Key Laboratory of Automotive Power Train and Electronic Control School of Automotive Engineering Hubei University of Automotive Technology Shiyan 442002 China

4. Guangzhou Institute of Blue Energy Knowledge City, Huangpu District Guangzhou 510555 China

5. School of Materials Science and Engineering Georgia Institute of Technology Atlanta GA 30332 USA

Abstract

AbstractThe triboelectric nanogenerator (TENG) holds significant potential for applications in energy harvesting and environment monitoring. However, a notable challenge lies in developing a combined system capable of efficiently harvesting energy and providing real‐time self‐powered sensing. Here, a combined wind energy harvesting and speed sensing (EHSS) system is constructed based on a noncontact electricity‐induced constant‐voltage TENG (EICV‐TENG) that achieves constant output by coupling two different phases and incorporates a parasitic sensing module in a single phase. Through the optimization of system integration, the EICV‐TENG achieves a current density of 28.7 mA m−2 and an average power density of 0.26 W m−2 Hz−1. With an optimal power management, the energy output efficiency of the EICV‐TENG reaches up to 96%. And EICV‐TENG can stably power 32 commercial hygrothermographs connected in parallel with the PMC at a wind speed of 7 m s−1. In addition, the EHSS system demonstrates excellent real‐time sensing performance based on the correlation between the peak number of pulse output in a single phase and wind speeds. This work contributes to the advancement of TENG technology for a combined energy harvesting and self‐powered sensing system in the context of the Internet of Things (IoTs).

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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