Bladeless Wind Turbine Triboelectric Nanogenerator for Effectively Harvesting Random Gust Energy

Author:

Zhu Mingkang123,Zhu Jianyang23,Zhu Jinzhi23,Zhao Zilong2,Li Hengyu2,Cheng Xiaojun12,Wang Zhong Lin124,Cheng Tinghai12ORCID

Affiliation:

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

2. Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 China

3. Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei 430081 China

4. School of Materials Science and Engineering Georgia Institute of Technology Atlanta GA 30332‐0245 USA

Abstract

AbstractIn the environment, there is an abundance of gust energy which is challenging to harvest with conventional rotating wind turbines, such as the gusts generated by passing vehicles along roadsides. Addressing the irregular and low‐frequency characteristics of gusts, a bladeless wind turbine triboelectric nanogenerator (BWT‐TENG) with enhanced aerodynamic performance is proposed, enabling effective harvesting of random gust energy. First, a bladeless wind turbine with a cylindrical bluff body shape is designed, and its aerodynamic principles under gust‐driven conditions are elucidated through the computational fluid dynamics method. Subsequently, parameter optimization is conducted for the multilayered TENG. Systematic experiments demonstrated that the BWT‐TENG achieved a peak power density of 4.08 W m−3 driven by a gust of 10 m s−1, and can even operate at frequencies as low as 0.1 Hz. Finally, experiments showcased the BWT‐TENG powering a warning light in a simulated rainfall environment and harvesting gust energy from vehicles passing by real roadside to power wireless gyroscopic sensors, thereby achieving self‐powered structural health monitoring of roads or bridges. This work provides a novel strategy for utilizing TENGs in the harvest of environmental gust energy and demonstrates the vast potential of TENGs in the field of self‐powered structural health monitoring.

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Wiley

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