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  5. A Nonencapsulative Pendulum‐Like Paper–Based Hybrid Nanogenerator for Energy Harvesting

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Article
en
2019

A Nonencapsulative Pendulum‐Like Paper–Based Hybrid Nanogenerator for Energy Harvesting

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en
2019
Vol 9 (33)
Vol. 9
DOI: 10.1002/aenm.201901149

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Hongmei Yang
Mingming Deng
Qian Tang
+5 more

Abstract

Abstract The newly invented triboelectric nanogenerator (TENG) is deemed to be a more efficient strategy than an electromagnetic generator (EMG) in harvesting low‐frequency (<2 Hz) water wave energy. Various TENGs with different structures and functions for blue energy have been developed, which can be roughly divided into two types: liquid–solid contact electrification TENGs and fully enclosed solid–solid contact electrification TENGs. Robustness and packaging are critical factors in the development of TENGs toward practical applications. Furthermore, for fully enclosed TENGs, the requirements and costs of packaging are very high, and they can difficult to disassemble after enclosed, if there is something wrong with the devices. Herein, a nonencapsulative pendulum‐like paper based hybrid nanogenerator for energy harvesting is designed, which mainly consists of three parts, one solar panel, two paper based zigzag multilayered TENGs, and three EMG units. This unique structure reveals the superior robustness and a maximum peak power of zigzag multilayered TENGs up to 22.5 mW is realized. Moreover, the device can be used to collect the mechanical energy of human motion in hand shaking. This work presents a new platform of hybrid generators toward energy harvesting as a portable practical power source, which has potential applications in navigation and lighting.

How to cite this publication

Hongmei Yang, Mingming Deng, Qian Tang, Wencong He, Chenguo Hu, Yi Xi, Ruchuan Liu, Zhong Lin Wang (2019). A Nonencapsulative Pendulum‐Like Paper–Based Hybrid Nanogenerator for Energy Harvesting. , 9(33), DOI: https://doi.org/10.1002/aenm.201901149.

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Publication Details

Type

Article

Year

2019

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/aenm.201901149

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