Self‐Powered Traffic Lights Through Wind Energy Harvesting Based on High‐Performance Fur‐Brush Dish Triboelectric Nanogenerators
Yang Jiang, Yutong Ming, Mohan Zhao, Xin Guo, Jiajia Han, Shijie Liu, Tao Jiang, Zhong Lin Wang
Abstract
Abstract Traffic lights play vital roles in urban traffic management systems, providing clear directional guidance for vehicles and pedestrians while ensuring traffic safety. However, the vast quantity of traffic lights widely distributed in the transportation system aggravates energy consumption. Here, a self‐powered traffic light system is proposed through wind energy harvesting based on a high‐performance fur‐brush dish triboelectric nanogenerator (FD‐TENG). The FD‐TENG harvests wind energy to power the traffic light system continuously without needing an external power supply. Natural rabbit furs are applied to dish structures, due to their outstanding characteristics of shallow wear, high performance, and resistance to humidity. Also, the grid pattern of the dish structure significantly impacts the TENG outputs. Additionally, the internal electric field and the influences of mechanical and structural parameters on the outputs are analyzed by finite element simulations. After optimization, the FD‐TENG can achieve a peak power density of 3.275 W m −3 . The portable and miniature features of FD‐TENG make it suitable for other natural environment systems such as forests, oceans, and mountains, besides the traffic light systems. This study presents a viable strategy for self‐powered traffic lights, establishing a basis for efficient environmental energy harvesting toward big data and Internet of Things applications.