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  5. High‐Durability Stacked Disc‐Type Rolling Triboelectric Nanogenerators for Environmental Monitoring Around Charging Buoys of Unmanned Ships

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Article
en
2023

High‐Durability Stacked Disc‐Type Rolling Triboelectric Nanogenerators for Environmental Monitoring Around Charging Buoys of Unmanned Ships

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en
2023
Vol 20 (23)
Vol. 20
DOI: 10.1002/smll.202310809

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Xiangyi Wang
Litu Chen
Zhiqiang Xu
+6 more

Abstract

Abstract Triboelectric nanogenerator (TENG) as a means of energy harvesting can effectively harvest ocean wave energy, but the energy conversion efficiency and stability of the device during long‐term operations are still problems that must be solved for TENGs. Decreasing the frictional resistance between two triboelectric material surfaces is one of the critical approaches for improving the device efficiency and durability. In this work, a novel stacked disc‐type rolling triboelectric nanogenerator (SDR‐TENG) is designed and fabricated for low‐frequency water wave energy harvesting. After 860 000 working cycles, the electrical output attenuation of the SDR‐TENG basic unit is less than 5%, showing excellent device durability. Under the simulated water wave conditions, the SDR‐TENG with four rolling TENG units can produce an output current of 84.4 µA and an output power of 7.6 mW, corresponding to an effective power density of 16.8 W m −3 . This work not only proposes a strategy to effectively enhance the durability of the devices, but also provides a feasible solution for monitoring the surrounding environment of the charging buoys of unmanned ships.

How to cite this publication

Xiangyi Wang, Litu Chen, Zhiqiang Xu, Pengfei Chen, Cuiying Ye, Baodong Chen, Tao Jiang, Zhanyong Hong, Zhong Lin Wang (2023). High‐Durability Stacked Disc‐Type Rolling Triboelectric Nanogenerators for Environmental Monitoring Around Charging Buoys of Unmanned Ships. , 20(23), DOI: https://doi.org/10.1002/smll.202310809.

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Publication Details

Type

Article

Year

2023

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/smll.202310809

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