Rotary Wind‐driven Triboelectric Nanogenerator for Self‐Powered Airflow Temperature Monitoring of Industrial Equipment

Author:

Li Yi1,Deng Haocheng1,Wu Haoying1,Luo Yi2,Deng Yeqiang1,Yuan Hongye3,Cui Zhaolun4,Tang Ju1,Xiong Jiaqing5,Zhang Xiaoxing6ORCID,Xiao Song1

Affiliation:

1. State Key Laboratory of Power Grid Environmental Protection School of Electrical Engineering and Automation Wuhan University Wuhan Hubei 430072 China

2. Beijing International S&T Cooperation Base for Plasma Science and Energy Conversion Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China

3. State Key Laboratory for Mechanical Behavior of Materials Shaanxi International Research Center for Soft Matter School of Materials Science and Engineering Xi'an Jiaotong University Xi'an 710049 China

4. School of Electrical Power South China University of Technology Guangdong 510640 China

5. Innovation Center for Textile Science and Technology Donghua University Shanghai 201620 China

6. Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment Hubei University of Technology Wuhan Hubei 430068 China

Abstract

AbstractHeat dissipation performance is crucial for the operational reliability of industrial equipment, which can be monitored by detecting the wind or airflow temperature of the radiator. The emergence of triboelectric nanogenerators (TENGs) provides new routes for wind energy harvesting and self‐powered sensing. Herein, a rotary wind‐driven triboelectric nanogenerator (RW‐TENG) with soft‐contact working mode is newly designed to achieve tunable contact areas by utilizing the reliable thermal response of NiTi shape memory alloy (SMA) to air/wind temperature. The RW‐TENG can generate different triboelectric outputs under air stimulation with different speeds or temperatures, which is demonstrated as a power source for online monitoring sensors, self‐powered wind speed sensing, and airflow temperature monitoring. Specifically, a self‐powered sensor of wind speed is demonstrated with a sensitivity of 0.526 µA m−1 s between 2.2 and 19.6 m s−1, and a self‐powered monitoring device of high airflow temperature, which show relatively short response time (109 s), strong anti‐interference ability and outstanding long‐term durability. This study introduces an innovative route for real‐time detection of airflow temperature in wind‐cooled industrial equipment, showing broad application prospects for information perception and intelligent sensing of the industrial IoTs.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

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