Charge-Accumulation-Enhanced Triboelectric Nanogenerator with Multilayer Stacked Electrodes for Self-Powered Monitoring System

被引:0
|
作者
Zhu, Xiaoyu [1 ]
Jie, Yang [1 ]
Cao, Xia [1 ,2 ,3 ]
Wang, Ning [4 ]
Wang, Zhong Lin [1 ,5 ]
机构
[1] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, Beijing 101400, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Chem & Biol Engn, Res Ctr Bioengn & Sensing Technol, Beijing Key Lab Bioengn & Sensing Technol, Beijing 100083, Peoples R China
[3] Univ Sci & Technol Beijing, Beijing Municipal Key Lab New Energy Mat & Technol, Beijing 100083, Peoples R China
[4] Univ Sci & Technol Beijing, Sch Math & Phys, Beijing 100083, Peoples R China
[5] Georgia Inst Technol, Atlanta, GA 30332 USA
关键词
charge accumulation; triboelectric nanogenerator; energy harvesting; movement monitoring; smarthome; ENERGY; OPTIMIZATION;
D O I
10.1021/acsaelm.3c00864
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As an emerging power technology, triboelectric nanogenerator (TENGs) promote the development of self-powered portable electronic systems because they can harvest ambient mechanical energy with a variety of working modes. Nevertheless, the practical application of TENGs is still limited by their low output and poor mechanical durability, and it is still a challenge to fabricate fully sustainable TENGs with high performance. Herein, a spring-supported TENG based on multilayer stacked triboelectric electrodes is proposed, which has good mechanical stability and output performance because of the introduction of the stacked sponge buffer layer and the particle vibration layer. The as-obtained TENG shows remarkable output performance enhancement, and a peak open-circuit voltage of 1.85 kV and a maximal short circuit current of 90 mu A are realized. The peak power reaches up to 26 mW, which can light up 475 LEDs. Additionally, the electric signals can also be utilized to monitor environmental stimuli, such as vibration and human movement; thus, a sustainable self-powered monitoring system may be developed. Furthermore, the device could also be used to develop smart homes on the basis of human-machine interaction, thus showing great potential for applications in the Internet of Things.
引用
收藏
页码:5898 / 5906
页数:9
相关论文
共 50 条
  • [31] Self-Powered Phase Transition Driven by Triboelectric Nanogenerator
    Ren, Lele
    Xiao, Junfeng
    Wang, Wei
    Yu, Aifang
    Zhang, Yufei
    Zhai, Junyi
    ACS APPLIED ELECTRONIC MATERIALS, 2023, 5 (05) : 2845 - 2852
  • [32] Self-powered pressure sensors based on triboelectric nanogenerator
    Xu, Mengfei
    Tao, Kai
    Chen, Zhensheng
    Chen, Hao
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 3498 - 3501
  • [33] Self-powered artificial synapses actuated by triboelectric nanogenerator
    Liu, Yaqian
    Zhong, Jianfeng
    Li, Enlong
    Yang, Huihuang
    Wang, Xiumei
    Lai, Dengxiao
    Chen, Huipeng
    Guo, Tailiang
    NANO ENERGY, 2019, 60 : 377 - 384
  • [34] A paper triboelectric nanogenerator for self-powered electronic systems
    Mao, Yanchao
    Zhang, Nan
    Tang, Yingjie
    Wang, Meng
    Chao, Mingju
    Liang, Erjun
    NANOSCALE, 2017, 9 (38) : 14499 - 14505
  • [35] Triboelectric Nanogenerator Based Self-Powered Tilt Sensor
    Iqbal, Faisal
    Shafi, Muhammad
    Khattak, Muhammad Irfan
    Nawaz, Aamir
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2018, 25 (02): : 325 - 328
  • [36] Self-Powered Humidity Sensor based on Triboelectric Nanogenerator
    Su, Yuanjie
    Xie, Guangzhong
    Wang, Si
    Tai, Huiling
    Zhang, Qiuping
    Du, Hongfei
    Du, Xiaosong
    Jiang, Yadong
    2017 IEEE SENSORS, 2017, : 1212 - 1214
  • [37] A method of measuring weak-charge of self-powered sensors based on triboelectric nanogenerator
    Lei, Wenqian
    Lu, Shan
    Wang, Qi
    Yuan, Pengfei
    Yu, Hua
    NANO ENERGY, 2022, 95
  • [38] All-polymeric fibrous triboelectric nanogenerator for self-powered intelligent active motions monitoring system
    Wu, Yuxuan
    Cui, Xiuju
    Wu, Hanguang
    Su, Zhiqiang
    CHEMICAL ENGINEERING JOURNAL, 2023, 469
  • [39] Self-powered silicon PIN photoelectric detection system based on triboelectric nanogenerator
    Wang, Jingxi
    Xia, Kequan
    Liu, Jiale
    Li, Tiesong
    Zhao, Xinyang
    Shu, Bin
    Li, Huan
    Guo, Jing
    Yu, Min
    Tang, Wei
    Zhu, Zhiyuan
    NANO ENERGY, 2020, 69
  • [40] Electrochemical oxidation degradation of azobenzene dye self-powered by multilayer-linkage triboelectric nanogenerator
    Gao, Shuyan
    Su, Jingzhen
    Wang, Miao
    Wei, Xianjun
    Zheng, Xin
    Jiang, Tao
    NANO ENERGY, 2016, 30 : 52 - 58