Harvesting Wide Frequency Micromechanical Vibration Energy and Wind Energy with a Multi‐Mode Triboelectric Nanogenerator for Traffic Monitoring and Warning
Source abstract
Abstract
Abstract With the rapid development of road networks, various traffic safety issues have become endless. To solve the problems, a multi‐mode triboelectric nanogenerator(M‐TENG) composed of roller‐based TENG, turnplate‐based TENG, and vertical separation‐based TENG is proposed. The M‐TENG can be applied to harvest the wind energy and mechanical vibrational energy generated by moving vehicles on ordinary roads or roads beside bridges to provide power for traffic warning devices and signal sensors. In terms of wind energy harvesting, the M‐TENG shows an excellent wind energy conversion capability. For vibrational energy harvesting, the M‐TENG can respond well to the frequency range (1–40 Hz) of bridge vibration in an actual environment and produce a good output. Thus, due to the above excellent outputs, the M‐TENG can successfully power caution lights and commercial LED strips, achieving a good warning effect. Additionally, the M‐TENG also can send RF signals after charging the energy management unit circuit for 5 min when simulating a natural environment. Based on the aforementioned wide applications, the M‐TENG not only demonstrates its excellent energy harvesting capability but also shows that it has huge potential in the field of transportation.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Innovative Energy Harvesting Technologies · Tactile and Sensory Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Center on Nanoenergy Research School of Physical Science & Technology Guangxi University Nanning 530004 P. R. China
Funding
Natural Science Foundation of Guangxi Province · National Natural Science Foundation of China
References (34)
Show source-provided references
1. Sills J. · Science · 2018 · 62 · 6415
2. 10.1016/j.aap.2021.10653810.1016/j.aap.2021.106538 ↗
3. Liu J. · CSEE J. Power Energy Syst. · 2018 · 4
4. 10.1016/j.apenergy.2018.03.03110.1016/j.apenergy.2018.03.031 ↗
5. 10.1021/acsenergylett.1c0036810.1021/acsenergylett.1c00368 ↗
6. 10.1016/j.apenergy.2021.11797710.1016/j.apenergy.2021.117977 ↗
7. 10.1021/acsnano.9b1014210.1021/acsnano.9b10142 ↗
8. 10.1002/admt.20170031710.1002/admt.201700317 ↗
9. 10.1002/admt.20190017710.1002/admt.201900177 ↗
10. 10.1002/app.4567410.1002/app.45674 ↗
11. 10.1016/j.nanoen.2012.01.00410.1016/j.nanoen.2012.01.004 ↗
12. 10.1016/j.cej.2021.13255910.1016/j.cej.2021.132559 ↗
13. 10.1016/j.eml.2020.10110010.1016/j.eml.2020.101100 ↗
14. 10.1016/j.mattod.2019.05.01610.1016/j.mattod.2019.05.016 ↗
15. 10.1038/s41467-019-09461-x10.1038/s41467-019-09461-x ↗
16. 10.1016/j.nanoen.2019.10427210.1016/j.nanoen.2019.104272 ↗
17. 10.1002/admt.20200030310.1002/admt.202000303 ↗
18. 10.1002/aenm.20190080110.1002/aenm.201900801 ↗
19. 10.1016/j.apsusc.2020.14532810.1016/j.apsusc.2020.145328 ↗
20. 10.1021/acsnano.8b0030310.1021/acsnano.8b00303 ↗
21. 10.1016/j.nanoen.2021.10608010.1016/j.nanoen.2021.106080 ↗
22. 10.1002/adfm.20210858010.1002/adfm.202108580 ↗
23. 10.1039/C5EE01532D10.1039/C5EE01532D ↗
24. 10.1016/j.nanoen.2021.10585110.1016/j.nanoen.2021.105851 ↗
25. 10.1016/j.xcrp.2020.10020710.1016/j.xcrp.2020.100207 ↗
26. 10.1039/D0EE01102A10.1039/D0EE01102A ↗
27. 10.1002/advs.20200018610.1002/advs.202000186 ↗
28. 10.1002/admt.20200091810.1002/admt.202000918 ↗
29. 10.1002/adma.20180396810.1002/adma.201803968 ↗
30. 10.1021/acsnano.8b0153210.1021/acsnano.8b01532 ↗
31. 10.1002/aenm.20160239710.1002/aenm.201602397 ↗
32. 10.1002/admt.20180056010.1002/admt.201800560 ↗
33. 10.1002/admt.20200102210.1002/admt.202001022 ↗
34. 10.1016/j.enconman.2018.02.05410.1016/j.enconman.2018.02.054 ↗