Literature DB >> 24044652

Triboelectric nanogenerator for harvesting wind energy and as self-powered wind vector sensor system.

Ya Yang1, Guang Zhu, Hulin Zhang, Jun Chen, Xiandai Zhong, Zong-Hong Lin, Yuanjie Su, Peng Bai, Xiaonan Wen, Zhong Lin Wang.   

Abstract

We report a triboelectric nanogenerator (TENG) that plays dual roles as a sustainable power source by harvesting wind energy and as a self-powered wind vector sensor system for wind speed and direction detection. By utilizing the wind-induced resonance vibration of a fluorinated ethylene-propylene film between two aluminum foils, the integrated TENGs with dimensions of 2.5 cm × 2.5 cm × 22 cm deliver an output voltage up to 100 V, an output current of 1.6 μA, and a corresponding output power of 0.16 mW under an external load of 100 MΩ, which can be used to directly light up tens of commercial light-emitting diodes. Furthermore, a self-powered wind vector sensor system has been developed based on the rationally designed TENGs, which is capable of detecting the wind direction and speed with a sensitivity of 0.09 μA/(m/s). This work greatly expands the applicability of TENGs as power sources for self-sustained electronics and also self-powered sensor systems for ambient wind detection.

Entities:  

Year:  2013        PMID: 24044652     DOI: 10.1021/nn4043157

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


  26 in total

1.  Air-Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory Monitoring.

Authors:  Meng Wang; Jiahao Zhang; Yingjie Tang; Jun Li; Baosen Zhang; Erjun Liang; Yanchao Mao; Xudong Wang
Journal:  ACS Nano       Date:  2018-06-04       Impact factor: 15.881

Review 2.  Cellulose-Based Nanomaterials for Energy Applications.

Authors:  Xudong Wang; Chunhua Yao; Fei Wang; Zhaodong Li
Journal:  Small       Date:  2017-09-13       Impact factor: 13.281

3.  A High Sensitivity Self-Powered Wind Speed Sensor Based on Triboelectric Nanogenerators (TENGs).

Authors:  Yangming Liu; Jialin Liu; Lufeng Che
Journal:  Sensors (Basel)       Date:  2021-04-23       Impact factor: 3.576

4.  Boosted output performance of triboelectric nanogenerator via electric double layer effect.

Authors:  Jinsung Chun; Byeong Uk Ye; Jae Won Lee; Dukhyun Choi; Chong-Yun Kang; Sang-Woo Kim; Zhong Lin Wang; Jeong Min Baik
Journal:  Nat Commun       Date:  2016-10-05       Impact factor: 14.919

5.  Flutter Phenomenon in Flow Driven Energy Harvester-A Unified Theoretical Model for "Stiff" and "Flexible" Materials.

Authors:  Yu Chen; Xiaojing Mu; Tao Wang; Weiwei Ren; Ya Yang; Zhong Lin Wang; Chengliang Sun; Alex Yuandong Gu
Journal:  Sci Rep       Date:  2016-10-14       Impact factor: 4.379

6.  Conducting polymer PPy nanowire-based triboelectric nanogenerator and its application for self-powered electrochemical cathodic protection.

Authors:  Siwen Cui; Youbin Zheng; Jun Liang; Daoai Wang
Journal:  Chem Sci       Date:  2016-06-27       Impact factor: 9.825

7.  Enhanced Power Output of a Triboelectric Nanogenerator Composed of Electrospun Nanofiber Mats Doped with Graphene Oxide.

Authors:  Tao Huang; Mingxia Lu; Hao Yu; Qinghong Zhang; Hongzhi Wang; Meifang Zhu
Journal:  Sci Rep       Date:  2015-09-21       Impact factor: 4.379

8.  Vectorial strain gauge method using single flexible orthogonal polydimethylsiloxane gratings.

Authors:  Hao Guo; Jun Tang; Kun Qian; Dimitris Tsoukalas; Miaomiao Zhao; Jiangtao Yang; Binzhen Zhang; Xiujian Chou; Jun Liu; Chenyang Xue; Wendong Zhang
Journal:  Sci Rep       Date:  2016-03-23       Impact factor: 4.379

9.  Integrated active sensor system for real time vibration monitoring.

Authors:  Qijie Liang; Xiaoqin Yan; Xinqin Liao; Shiyao Cao; Shengnan Lu; Xin Zheng; Yue Zhang
Journal:  Sci Rep       Date:  2015-11-05       Impact factor: 4.379

10.  Highly reliable wind-rolling triboelectric nanogenerator operating in a wide wind speed range.

Authors:  Hyungseok Yong; Jihoon Chung; Dukhyun Choi; Daewoong Jung; Minhaeng Cho; Sangmin Lee
Journal:  Sci Rep       Date:  2016-09-22       Impact factor: 4.379

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