Literature DB >> 29595963

Self-Powered Wind Sensor System for Detecting Wind Speed and Direction Based on a Triboelectric Nanogenerator.

Jiyu Wang1,2, Wenbo Ding1, Lun Pan1, Changsheng Wu1, Hua Yu1, Lijun Yang2, Ruijin Liao2, Zhong Lin Wang1,3.   

Abstract

The development of the Internet of Things has brought new challenges to the corresponding distributed sensor systems. Self-powered sensors that can perceive and respond to environmental stimuli without an external power supply are highly desirable. In this paper, a self-powered wind sensor system based on an anemometer triboelectric nanogenerator (a-TENG, free-standing mode) and a wind vane triboelectric nanogenerator (v-TENG, single-electrode mode) is proposed for simultaneously detecting wind speed and direction. A soft friction mode is adopted instead of a typical rigid friction for largely enhancing the output performance of the TENG. The design parameters including size, unit central angle, and applied materials are optimized to enhance sensitivity, resolution, and wide measurement scale. The optimized a-TENG could deliver an open-circuit voltage of 88 V and short-circuit current of 6.3 μA, corresponding to a maximum power output of 0.47 mW (wind speed of 6.0 m/s), which is capable of driving electronics for data transmission and storage. The current peak value of the a-TENG signal is used for analyzing wind speed for less energy consumption. Moreover, the output characteristics of a v-TENG are further explored, with six actual operation situations, and the v-TENG delivers fast response to the incoming wind and accurately outputs the wind direction data. As a wind sensor system, wind speed ranging from 2.7 to 8.0 m/s can be well detected (consistent with a commercial sensor) and eight regular directions can be monitored. Therefore, the fabricated wind sensor system has great potential in wireless environmental monitoring applications.

Keywords:  Internet of Things; freestanding mode; single-electrode mode; triboelectric nanogenerator; wind speed and direction sensor

Year:  2018        PMID: 29595963     DOI: 10.1021/acsnano.8b01532

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  9 in total

1.  Ultrahigh Performance Triboelectric Nanogenerator Enabled by Charge Transmission in Interfacial Lubrication and Potential Decentralization Design.

Authors:  Wencong He; Wenlin Liu; Shaoke Fu; Huiyuan Wu; Chuncai Shan; Zhao Wang; Yi Xi; Xue Wang; Hengyu Guo; Hong Liu; Chenguo Hu
Journal:  Research (Wash D C)       Date:  2022-07-05

2.  A "Square Box"-Structured Triboelectric Nanogenerator for Road Transportation Monitoring.

Authors:  Zhuo Chen; Hanyi Wu; Zhike Xia; Jian Zou; Shengji Wang; Peiyong Feng; Yuejun Liu; Zhi Zhang; Yinghui Shang; Xin Jing
Journal:  Polymers (Basel)       Date:  2022-06-30       Impact factor: 4.967

3.  The effect of metal surface nanomorphology on the output performance of a TENG.

Authors:  Yiru Wang; Xin Zhao; Yang Liu; Wenjun Zhou
Journal:  Beilstein J Nanotechnol       Date:  2022-03-15       Impact factor: 3.649

4.  Multifunctional Flexible Humidity Sensor Systems Towards Noncontact Wearable Electronics.

Authors:  Yuyao Lu; Geng Yang; Yajing Shen; Huayong Yang; Kaichen Xu
Journal:  Nanomicro Lett       Date:  2022-07-22

Review 5.  Recent Progress in Sensing Technology Based on Triboelectric Nanogenerators in Dynamic Behaviors.

Authors:  Linjie Yao; He Zhang; Jiqing Jiang; Zhicheng Zhang; Xianglong Zheng
Journal:  Sensors (Basel)       Date:  2022-06-26       Impact factor: 3.847

6.  An Air Velocity Monitor for Coal Mine Ventilation Based on Vortex-Induced Triboelectric Nanogenerator.

Authors:  Guocheng Shen; Jijie Ma; Yili Hu; Jianping Li; Tinghai Cheng; Jianming Wen
Journal:  Sensors (Basel)       Date:  2022-06-26       Impact factor: 3.847

Review 7.  Application of Triboelectric Nanogenerator in Fluid Dynamics Sensing: Past and Future.

Authors:  Leo N Y Cao; Zijie Xu; Zhong Lin Wang
Journal:  Nanomaterials (Basel)       Date:  2022-09-20       Impact factor: 5.719

Review 8.  Review of advanced sensor devices employing nanoarchitectonics concepts.

Authors:  Katsuhiko Ariga; Tatsuyuki Makita; Masato Ito; Taizo Mori; Shun Watanabe; Jun Takeya
Journal:  Beilstein J Nanotechnol       Date:  2019-10-16       Impact factor: 3.649

9.  An Optimized Flutter-Driven Triboelectric Nanogenerator with a Low Cut-In Wind Speed.

Authors:  Yang Xia; Yun Tian; Lanbin Zhang; Zhihao Ma; Huliang Dai; Bo Meng; Zhengchun Peng
Journal:  Micromachines (Basel)       Date:  2021-03-29       Impact factor: 2.891

  9 in total

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