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Selection rules of triboelectric materials for direct-current triboelectric nanogenerator

Author

Listed:
  • Zhihao Zhao

    (Chinese Academy of Sciences
    Sun Yat-sen University)

  • Linglin Zhou

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Shaoxin Li

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Di Liu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yanhong Li

    (Chinese Academy of Sciences)

  • Yikui Gao

    (Chinese Academy of Sciences)

  • Yuebo Liu

    (Chinese Academy of Sciences)

  • Yejing Dai

    (Sun Yat-sen University)

  • Jie Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Zhong Lin Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Georgia Institute of Technology)

Abstract

The rapid development of Internet of Things and artificial intelligence brings increasing attention on the harvesting of distributed energy by using triboelectric nanogenerator (TENG), especially the direct current TENG (DC-TENG). It is essential to select appropriate triboelectric materials for obtaining a high performance TENG. In this work, we provide a set of rules for selecting the triboelectric materials for DC-TENG based on several basic parameters, including surface charge density, friction coefficient, polarization, utilization rate of charges, and stability. On the basis of the selection rules, polyvinyl chloride, used widely in industry rather than in TENG, is selected as the triboelectric layer. Its effective charge density can reach up to ~8.80 mC m−2 in a microstructure-designed DC-TENG, which is a new record for all kinds of TENGs. This work can offer a basic guideline for the triboelectric materials selection and promote the practical applications of DC-TENG.

Suggested Citation

  • Zhihao Zhao & Linglin Zhou & Shaoxin Li & Di Liu & Yanhong Li & Yikui Gao & Yuebo Liu & Yejing Dai & Jie Wang & Zhong Lin Wang, 2021. "Selection rules of triboelectric materials for direct-current triboelectric nanogenerator," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25046-z
    DOI: 10.1038/s41467-021-25046-z
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    Cited by:

    1. Zhaoqi Liu & Yunzhi Huang & Yuxiang Shi & Xinglin Tao & Hezhi He & Feida Chen & Zhao-Xia Huang & Zhong Lin Wang & Xiangyu Chen & Jin-Ping Qu, 2022. "Fabrication of triboelectric polymer films via repeated rheological forging for ultrahigh surface charge density," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Huiyuan Wu & Chuncai Shan & Shaoke Fu & Kaixian Li & Jian Wang & Shuyan Xu & Gui Li & Qionghua Zhao & Hengyu Guo & Chenguo Hu, 2024. "Efficient energy conversion mechanism and energy storage strategy for triboelectric nanogenerators," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Xiang Li & Roujuan Li & Shaoxin Li & Zhong Lin Wang & Di Wei, 2024. "Triboiontronics with temporal control of electrical double layer formation," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Di Liu & Linglin Zhou & Shengnan Cui & Yikui Gao & Shaoxin Li & Zhihao Zhao & Zhiying Yi & Haiyang Zou & Youjun Fan & Jie Wang & Zhong Lin Wang, 2022. "Standardized measurement of dielectric materials’ intrinsic triboelectric charge density through the suppression of air breakdown," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Jiayue Zhang & Yikui Gao & Di Liu & Jing-Shan Zhao & Jie Wang, 2023. "Discharge domains regulation and dynamic processes of direct-current triboelectric nanogenerator," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Zhang, Jiacheng & Yu, Yang & Li, Hengyu & Zhu, Mingkang & Zhang, Sheng & Gu, Chengjie & Jiang, Lin & Wang, Zhong Lin & Zhu, Jianyang & Cheng, Tinghai, 2024. "Triboelectric-electromagnetic hybrid generator with Savonius flapping wing for low-velocity water flow energy harvesting," Applied Energy, Elsevier, vol. 357(C).

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