Classification and utilization of waste electronic components based on triboelectric nanogenerator

• Published in: Nanotechnology Vol. 33; no. 49; pp. 495401 - 495409
• Main Authors: Zhao, En, Jiang, Kai, Li, Bao, Liu, Xin, Zeng, Fan, Chen, Lin, Zhang, Hao, Zhu, Zhiyuan
• Format: Journal Article
• Language: English
• Published: IOP Publishing 03.12.2022
• Subjects: classification detection; self-powered sensing; triboelectric nanogenerator; waste electronic components
• ISSN: 0957-4484; 1361-6528; 1361-6528
• DOI: 10.1088/1361-6528/ac8f4f

The rapid development of the internet of things is accompanied by a large number of equipment deployment. When the equipment fails or reaches its service life, tons of e-waste will be generated. Therefore, there is an urgent need to find environmentally friendly and effective ways to recycle and treat e-waste. In this paper, a method of classification detection and resource utilization of waste electronic components based on the triboelectric nanogenerator (TENG) is proposed, which provides a novel idea for electronic waste treatment. We studied the output voltage characteristics of different kinds of TENG based on waste electronic components subject to different environmental loadings. The output characteristics of TENG are explored, reflecting the e-waste categories and processing environment. TENG is also connected with hundreds of light-emitting diodes (LEDs) through rectifier bridge circuit, and the output performance of TENG is characterized by the number and intensity of LEDs.