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Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy
Wang, Yuqi1; Li, Xiang1; Yu, Xin1; Zhu, Jianyang1,2; Shen, Ping3; Wang, Zhong Lin1,4; Cheng, Tinghai1
2022-08
Source PublicationNano Energy
ISSN2211-2855
Volume99Pages:107389
Abstract

Triboelectric nanogenerators (TENGs), as a new energy technology for distributed power, are used widely in the field of the natural environment energy harvesting. Because the natural energy is random and unstable, dynamic matching between TENGs driving-torque and natural environment energy is fundamental for improving the applications of TENGs. Therefore, a driving-torque self-adjusted triboelectric nanogenerator (SA-TENG) for effective harvesting of random wind energy is developed in this paper. When the external wind speed is unstable, the SA-TENG automatically self-adjusted its driving-torque to dynamically match the wind speed and obtain higher output power. Experiments showed that the SA-TENG can adjust its driving-torque in accordance to the wind speed ranging in 5.0–13.2 m/s, and that, the output peak power can reach 7.69 mW. Under the same conditions, in comparison with a normal TENG, the power growth rate and the highest energy conversion efficiency of the SA-TENG were boosted by more than 4.3 and 12.2 times, respectively; values that are also 3.2 and 6.5 times higher, respectively, than those of an electromagnetic generator. Additionally, the SA-TENG can supply power to sensors for monitoring environment, proving its feasibility as a distributed energy source.

KeywordDriving-torque Self-adjusted Effective Harvesting Random Wind Energy Triboelectric Nanogenerators
DOI10.1016/j.nanoen.2022.107389
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaChemistry ; Science & Technology - Other Topics ; Materials Science ; Physics
WOS SubjectChemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied
WOS IDWOS:000874169200005
PublisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85130419037
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWang, Zhong Lin; Cheng, Tinghai
Affiliation1.Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China
2.Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, 430081, China
3.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao, 999078, China
4.School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, 30332-0245, United States
Recommended Citation
GB/T 7714
Wang, Yuqi,Li, Xiang,Yu, Xin,et al. Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy[J]. Nano Energy, 2022, 99, 107389.
APA Wang, Yuqi., Li, Xiang., Yu, Xin., Zhu, Jianyang., Shen, Ping., Wang, Zhong Lin., & Cheng, Tinghai (2022). Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy. Nano Energy, 99, 107389.
MLA Wang, Yuqi,et al."Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy".Nano Energy 99(2022):107389.
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