Self‐Powered Traffic Lights Through Wind Energy Harvesting Based on High‐Performance Fur‐Brush Dish Triboelectric Nanogenerators

Author:

Jiang Yang123,Ming Yutong24,Zhao Mohan5,Guo Xin23,Han Jiajia23,Liu Shijie23,Jiang Tao123ORCID,Wang Zhong Lin126

Affiliation:

1. Guangzhou Institute of Blue Energy Knowledge City Huangpu District Guangzhou 510555 P. R. China

2. Beijing Key Laboratory of Micro‐Nano Energy and Sensor Center for High‐Entropy Energy and Systems Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 P. R. China

3. School of Nanoscience and Engineering University of Chinese Academy of Sciences Beijing 100049 P. R. China

4. Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province The Institute of Precision Machinery and Smart Structure College of Engineering Zhejiang Normal University Jinhua Zhejiang 321004 P. R. China

5. Beijing 101 Middle School Beijing 100091 P. R. China

6. Georgia Institute of Technology Atlanta GA 30332‐0245 USA

Abstract

AbstractTraffic 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.

Funder

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

Wiley

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