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  5. Energy Harvesting from Breeze Wind (0.7–6 m s<sup>−1</sup>) Using Ultra‐Stretchable Triboelectric Nanogenerator

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Article
en
2020

Energy Harvesting from Breeze Wind (0.7–6 m s<sup>−1</sup>) Using Ultra‐Stretchable Triboelectric Nanogenerator

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en
2020
Vol 10 (36)
Vol. 10
DOI: 10.1002/aenm.202001770

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Zewei Ren
Ziming Wang
Zhirong Liu
+7 more

Abstract

Abstract Wind is one of the most important sources of green energy, but the current technology for harvesting wind energy is only effective when the wind speed is beyond 3.5–4.0 m s −1 . This is mainly due to the limitation that the electromagnetic generator works best at high frequency. This means that light breezes cannot reach the wind velocity threshold of current wind turbines. Here, a high‐performance triboelectric nanogenerator (TENG) for efficiently harvesting energy from an ambient gentle wind, especially for speeds below 3 m s −1 is reported, by taking advantage of the relative high efficiency of TENGs at low‐frequency. Attributed to the multiplied‐frequency vibration of ultra‐stretchable and perforated electrodes, an average output of 20 mW m −3 can be achieved with inlet wind speed of 0.7 m s −1 , while an average energy conversion efficiency of 7.8% at wind speed of 2.5 m s −1 is reached. A self‐charging power package is developed and the applicability of the TENG in various light breezes is demonstrated. This work demonstrates the advantages of TENG technology for breeze energy exploitation and proposes an effective supplementary approach for current employed wind turbines and micro energy structure.

How to cite this publication

Zewei Ren, Ziming Wang, Zhirong Liu, Longfei Wang, Hengyu Guo, Linlin Li, Site Li, Xiangyu Chen, Wei Tang, Zhong Lin Wang (2020). Energy Harvesting from Breeze Wind (0.7–6 m s<sup>−1</sup>) Using Ultra‐Stretchable Triboelectric Nanogenerator. , 10(36), DOI: https://doi.org/10.1002/aenm.202001770.

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Publication Details

Type

Article

Year

2020

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/aenm.202001770

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