4.8 Article

Fabric-rebound triboelectric nanogenerators with loops and layered structures for energy harvesting and intelligent wireless monitoring of human motions

Journal

NANO ENERGY
Volume 93, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.nanoen.2021.106807

Keywords

Triboelectric Nanogenerator; Energy harvesting; Textiles; Wireless intelligent system; Self-powered sensors

Funding

  1. Innovation and Technology Commission of the Government of the Hong Kong Special Administrative Region [ITS/086/19]

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Self-powered electronic textiles and triboelectric nanogenerators have been explored for sustainable power generation in portable, wearable, and low-energy electronics. This study presents a new fabric-rebound triboelectric nanogenerator (FR-TENG) for efficient energy harvesting and self-powered sensing, showing stable electric performance and the ability to monitor human motions.
Self-powered electronic textiles (e-textiles) and triboelectric nanogenerators (TENGs) have been explored for the development of energy-harvesting facilities which provide sustainable power supplements for portable, wearable, and low-energy electronics. However, it requires the features of excellent structural stability and superior capability in sensing applications. In this study, we present and develop a new kind of fabric-rebound triboelectric nanogenerator (FR-TENG) that could be used for efficient energy harvesting and self-powered sensing. For improvement of electric performance, a systematic study has also been carried out to investigate various structural parameters for the property optimization of FR-TENGs. The as-made FR-TENG has shown stable electric performance in energy harvesting, cyclic washing capability, and mechanical durability. The full-textile structure of FR-TENG enhances its adaptability and rebound ability, and the open-circuit voltage, short circuit current and power density of the FR-TENG reach up to 418.09 V, 65.85 mu A and 199.14 mu W.cm 2, respectively. Furthermore, the FR-TENGs are used as smart carpets to build up a self-powered, wireless and intelligent system for monitoring human motions. This study proposes a new perspective for an all-textile TENGs and shows the advanced human-machine software interface in sensing applications.

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