Residential College | false |
Status | 已發表Published |
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 Publication | Nano Energy |
ISSN | 2211-2855 |
Volume | 99Pages: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. |
Keyword | Driving-torque Self-adjusted Effective Harvesting Random Wind Energy Triboelectric Nanogenerators |
DOI | 10.1016/j.nanoen.2022.107389 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics |
WOS Subject | Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied |
WOS ID | WOS:000874169200005 |
Publisher | ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS |
Scopus ID | 2-s2.0-85130419037 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Wang, Zhong Lin; Cheng, Tinghai |
Affiliation | 1.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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