Research on Differential Triboelectric–Electromagnetic Wind Energy Harvester for Rail Transit Tunnels
Trains traveling through rail transit tunnels generate bidirectional, alternating, and intermittent piston-like airflow. Traditional wind energy collectors have problems such as poor bidirectional airflow adaptability and high starting wind speed. This paper proposes a microminiaturized bidirectional differential triboelectric–electromagnetic hybrid generator (BR-TEG). The device adopts a vertical coaxial layered configuration, integrating a triboelectric generator (TEG) and an electromagnetic generator (EMG). The upper and lower layers are assembled with wind cups facing in opposite directions, forming a differential counter-rotating structure that can adapt to the bidirectional reciprocating piston airflow in tunnels and achieve continuous wind capture from all directions. The top layer is equipped with a slip ring transmission mechanism, which resolves issues such as lead wire entanglement and unstable power generation during bidirectional rotation. Experimental results show that the BR-TEG has a minimum startup wind speed of 0.8 m/s, and at a wind speed of 9 m/s, the total peak power reaches 679.02 mW. The device, in conjunction with the energy management circuit, can stably power low-power monitoring devices such as LED arrays and Bluetooth temperature and humidity sensors. Additionally, the frequency of the device’s electrical output exhibits a strong linear correlation with wind speed, enabling it to serve both as a wind energy harvester and a tunnel wind speed monitor. In summary, the BR-TEG provides a new technical solution for the utilization of wind energy in rail transit tunnels and the construction of distributed self-powered systems for smart tunnels.
Authors
- Fangyan Zheng (ORCID: https://orcid.org/0000-0003-3862-1999)
- Haowen Liao (ORCID: https://orcid.org/0009-0004-2935-9866)
- Xinxue Pan
- Xiangyang Chen
- Yuxuan Zhou
Institutions
- Chongqing University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Micromachines
- Published
- 2026-11-04
- DOI
- https://doi.org/10.3390/mi17111284
- Primary Topic
- Innovative Energy Harvesting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00