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Auto‐Switching Self‐Powered System for Efficient Broad‐Band Wind Energy Harvesting Based on Dual‐Rotation Shaft Triboelectric Nanogenerator
Author(s) -
Yong Shun,
Wang Jiyu,
Yang Lijun,
Wang Hanqing,
Luo Hao,
Liao Ruijin,
Wang Zhong Lin
Publication year - 2021
Publication title -
advanced energy materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.08
H-Index - 220
eISSN - 1614-6840
pISSN - 1614-6832
DOI - 10.1002/aenm.202101194
Subject(s) - triboelectric effect , nanogenerator , energy harvesting , wind power , electrical engineering , mechanical energy , rotation (mathematics) , renewable energy , energy (signal processing) , power (physics) , materials science , automotive engineering , voltage , computer science , engineering , physics , artificial intelligence , composite material , quantum mechanics
A triboelectric nanogenerator (TENG) based self‐powered system for wind energy harvesting introduces a desirable solution to alleviate the expanding energy supply concerns in the development of the internet of things. In this work, an auto‐switching self‐powered system based on a dual‐rotation shaft TENG (D‐TENG) is reported to effectively harvest wind energy over a broad‐band wind speed (2.2–16 m s −1 ). The D‐TENG is designed in a concentric dual‐rotation shaft structure, in which two independent TENGs with different shapes, sizes, and arm lengths of wind cups are rationally coupled. The integration of the two TENGs with varied structural parameters achieves mutual compensation of their own merits, enabling the whole system to have preferable aerodynamics and high energy conversion efficiency over a broad range of wind speeds. Moreover, an electromagnetic generator (EMG) with the same energy collection module is also fabricated for a comparison with TENG in the start‐up properties and average output power. Furthermore, a packaged self‐powered system is demonstrated for simulated wind energy harvesting, while the charging characteristics are also discovered. The proposed TENG renders a more efficient technique for energy harvesting and greatly expands its potential in the large‐scale wind energy harvesting that can be attributed to the multi‐stage strategy.