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  5. Segmented Swing‐Structured Fur‐Based Triboelectric Nanogenerator for Harvesting Blue Energy toward Marine Environmental Applications

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Article
en
2021

Segmented Swing‐Structured Fur‐Based Triboelectric Nanogenerator for Harvesting Blue Energy toward Marine Environmental Applications

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en
2021
Vol 31 (47)
Vol. 31
DOI: 10.1002/adfm.202106398

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Hao Pang
Yawei Feng
Jie An
+4 more

Abstract

Abstract Reducing carbon emissions to realize carbon neutrality is crucial to the environmental protection, and developing clean and renewable energy sources is an effective means to achieve this goal. Triboelectric nanogenerators (TENGs) provide a promising energy technology for converting the abundant renewable ocean wave energy on the earth surface. In this work, a segmented swing‐structured fur‐based TENG (SSF‐TENG) is designed and fabricated to harvest low frequency water wave energy. The introduction of soft and dense rabbit furs reduces the frictional resistance and material wear, and the design and optimization of segmented structures further enhance the output performance of TENG. The use of ultra‐lubricated bearings makes the SSF‐TENG achieve an extended period of energy harvesting of more than 5 min after one triggering, with a total energy conversion efficiency of up to 23.6%. Under the real water wave triggering, the SSF‐TENG can deliver a maximum peak power of 6.2 mW and an average power of 0.74 mW. Furthermore, through effective water wave energy harvesting by the SSF‐TENG or array, self‐powered marine environmental applications are successfully demonstrated, which establishes a solid foundation for large‐scale blue energy harvesting and realization of smart oceans.

How to cite this publication

Hao Pang, Yawei Feng, Jie An, Pengfei Chen, Jiajia Han, Tao Jiang, Zhong Lin Wang (2021). Segmented Swing‐Structured Fur‐Based Triboelectric Nanogenerator for Harvesting Blue Energy toward Marine Environmental Applications. , 31(47), DOI: https://doi.org/10.1002/adfm.202106398.

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Publication Details

Type

Article

Year

2021

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adfm.202106398

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