A near-zero quiescent power breeze wake-up anemometer based on a rolling-bearing triboelectric nanogenerator

被引:6
|
作者
Fu, Xianpeng [1 ,2 ]
Jiang, Zhichao [1 ,3 ]
Cao, Jie [1 ,4 ]
Dong, Zefang [1 ,2 ]
Liu, Guoxu [1 ]
Zhu, Meiling [5 ]
Zhang, Chi [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, CAS Ctr Excellence Nanosci, Beijing Key Lab Micronano Energy & Sensor, Beijing 101400, Peoples R China
[2] Univ Chinese Acad Sci, Sch Nanosci & Engn, Beijing 100049, Peoples R China
[3] Guangxi Univ, Guangxi Coll & Univ Key Lab Blue Energy & Syst Int, Ctr Nanoenergy Res, Sch Phys Sci & Technol, Nanning 530004, Peoples R China
[4] Jiangsu Univ, Inst Intelligent Flexible Mechatron, Zhenjiang 212013, Peoples R China
[5] Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX44QF, England
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
WIND ENERGY;
D O I
10.1038/s41378-024-00676-7
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Wind sensors have always played an irreplaceable role in environmental information monitoring and are expected to operate with lower power consumption to extend service lifetime. Here, we propose a breeze wake-up anemometer (B-WA) based on a rolling-bearing triboelectric nanogenerator (RB-TENG) with extremely low static power. The B-WA consists of two RB-TENGs, a self-waking-up module (SWM), a signal processing module (SPM), and a wireless transmission unit. The two RB-TENGs are employed for system activation and wind-speed sensing. Once the ambient wind-speed exceeds 2 m/s, the wake TENG (W-TENG) and the SWM can wake up the system within 0.96 s. At the same time, the SPM starts to calculate the signal frequency from the measured TENG (M-TENG) to monitor the wind speed with a sensitivity of 9.45 Hz/(m/s). After the wind stops, the SWM can switch off the B-WA within 0.52 s to decrease the system energy loss. In quiescent on-duty mode, the operating power of the B-WA is less than 30 nW, which can greatly extend the service lifetime of the B-WA. By integrating triboelectric devices and rolling bearings, this work has realized an ultralow quiescent power and self-waked-up wireless wind-speed monitoring system, which has foreseeable applications in remote weather monitoring, IoT nodes, and so on.
引用
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页数:9
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