journal article·2025-08Open access

Bistable Multi‐Layer Triboelectric Nanogenerator for Harvesting Random and Ultra‐Low‐Frequency Vibration Energy with Increased Charge Transfer

Yi Guan, Xin Li, Zehan Wei, Mianxin Xiao, Zhihui Lai, Shuxiang Dong, Daniil Yurchenko, Shitong Fang

Advanced Science· Volume 12· Issue 31

Abstract

Abstract Approximately 70% of the Earth’s surface is covered by seawater, making the ocean ideal for harvesting energy. Triboelectric nanogenerators (TENGs), due to their low cost and simple structure, are well‐suited for capturing ocean energy. However, their low charge transfer under weak inputs limits efficiency in harvesting random and ultra‐low‐frequency wave energy. This paper proposes a novel bistable multi‐layer TENG (BM‐TENG) to address this challenge for self‐powered wireless sensing and lighting. Simulations and experiments demonstrate that both in intra‐well and inter‐well motions, the bistable mechanism enhances the dynamic responses and thus the power output by up to 48%. Furthermore, the multi‐layer design within the constrained structure significantly boosts the power density. Experimental results show 730 V peak‐to‐peak open‐circuit voltage and 5 mW maximum power in a three‐layer BM‐TENG under the excitation of 0.6 Hz and 0.18 g. The normalized power density of the proposed device is 54.9 Wm−3·Hz−1, surpassing the state‐of‐the‐art results in literature. The application test shows that BM‐TENG can successfully power 296 LEDs for ocean warning lighting, and power Bluetooth wireless sensors for monitoring marine environmental variables. This work introduces a novel and highly efficient self‐powered sensing technique for advancements in marine Internet of Things (IoT) systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Innovative Energy Harvesting Technologies · Polydiacetylene-based materials and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots College of Mechatronics and Control Engineering Shenzhen University Shenzhen 518051 China

National Key Laboratory of Green and Long‐Life Road Engineering in Extreme Environment (Shenzhen) Shenzhen University Shenzhen 518051 China

Guangzhou Institute of Technology Xidian University Guangzhou 510555 China

School of Materials Science and Engineering Peking University Beijing 100871 China

Institute of Sound and Vibration Research University of Southampton Southampton S017 IBJ UK

Funding

National Natural Science Foundation of China

References (67)

Show source-provided references
1. 10.1039/D3EE02688D10.1039/D3EE02688D ↗
2. 10.1016/j.nanoen.2016.12.00410.1016/j.nanoen.2016.12.004 ↗
3. 10.1016/0160-4120(80)90047-110.1016/0160-4120(80)90047-1 ↗
4. 10.1016/j.marstruc.2007.09.00110.1016/j.marstruc.2007.09.001 ↗
5. 10.1002/aenm.20160170510.1002/aenm.201601705 ↗
6. 10.1039/C7EE01139C10.1039/C7EE01139C ↗
7. 10.1002/aenm.20160066510.1002/aenm.201600665 ↗
8. Stow D. · 2018
9. 10.1016/j.apenergy.2017.04.01910.1016/j.apenergy.2017.04.019 ↗
10. Naess A. · 2013
11. 10.1039/D0EE01258K10.1039/D0EE01258K ↗
12. 10.1016/j.energy.2021.12220510.1016/j.energy.2021.122205 ↗
13. 10.1016/j.engstruct.2011.09.02410.1016/j.engstruct.2011.09.024 ↗
14. 10.1049/iet-rpg.2019.062410.1049/iet-rpg.2019.0624 ↗
15. 10.1016/j.jsv.2014.04.03510.1016/j.jsv.2014.04.035 ↗
16. 10.1016/j.nanoen.2020.10556710.1016/j.nanoen.2020.105567 ↗
17. 10.1016/j.enconman.2024.11918010.1016/j.enconman.2024.119180 ↗
18. 10.1016/j.enconman.2018.12.03410.1016/j.enconman.2018.12.034 ↗
19. 10.1109/TIE.2024.347692310.1109/TIE.2024.3476923 ↗
20. 10.1016/j.nanoen.2023.10873510.1016/j.nanoen.2023.108735 ↗
21. 10.1002/advs.20190014910.1002/advs.201900149 ↗
22. 10.1002/advs.20240516510.1002/advs.202405165 ↗
23. 10.1002/advs.20240163610.1002/advs.202401636 ↗
24. 10.1002/advs.20240157810.1002/advs.202401578 ↗
25. 10.1016/j.nanoen.2024.10950610.1016/j.nanoen.2024.109506 ↗
26. 10.1002/adfm.20220501110.1002/adfm.202205011 ↗
27. 10.1016/j.nanoen.2019.10420510.1016/j.nanoen.2019.104205 ↗
28. 10.1002/adfm.20220501110.1002/adfm.202205011 ↗
29. 10.1016/j.ymssp.2020.10721210.1016/j.ymssp.2020.107212 ↗
30. 10.1016/j.nanoen.2024.10950610.1016/j.nanoen.2024.109506 ↗
31. 10.1021/nn404614z10.1021/nn404614z ↗
32. 10.1016/j.nanoen.2014.10.03410.1016/j.nanoen.2014.10.034 ↗
33. Qin S. · Nat. Commun. · 2024 · 15 · 1
34. 10.1126/sciadv.adr913910.1126/sciadv.adr9139 ↗
35. 10.1002/adem.20190087210.1002/adem.201900872 ↗
36. 10.1016/j.nanoen.2013.08.00710.1016/j.nanoen.2013.08.007 ↗
37. Yang T. · Appl. Phys. Rev. · 2021 · 8 · 3
38. 10.1007/s11071-024-10077-010.1007/s11071-024-10077-0 ↗
39. 10.1016/j.jsv.2019.11485210.1016/j.jsv.2019.114852 ↗
40. 10.1016/j.ymssp.2025.11250410.1016/j.ymssp.2025.112504 ↗
41. 10.1088/1361-665X/ac1a2110.1088/1361-665X/ac1a21 ↗
42. 10.1007/s11071-020-05889-910.1007/s11071-020-05889-9 ↗
43. 10.1177/1045389X1244494010.1177/1045389X12444940 ↗
44. 10.1088/0964-1726/22/2/02300110.1088/0964-1726/22/2/023001 ↗
45. 10.1016/j.ymssp.2025.11250410.1016/j.ymssp.2025.112504 ↗
46. 10.1007/s11012-020-01291-210.1007/s11012-020-01291-2 ↗
47. 10.1016/j.ymssp.2022.10931810.1016/j.ymssp.2022.109318 ↗
48. 10.1016/j.nanoen.2019.10410810.1016/j.nanoen.2019.104108 ↗
49. 10.1002/aenm.20200006410.1002/aenm.202000064 ↗
50. 10.1016/j.nanoen.2019.10390810.1016/j.nanoen.2019.103908 ↗
51. 10.1002/aenm.20130037610.1002/aenm.201300376 ↗
52. 10.1002/aenm.20150146710.1002/aenm.201501467 ↗
53. 10.1016/j.nanoen.2018.12.05410.1016/j.nanoen.2018.12.054 ↗
54. 10.1002/aenm.20160170510.1002/aenm.201601705 ↗
55. 10.1016/j.nanoen.2019.03.05410.1016/j.nanoen.2019.03.054 ↗
56. 10.1002/aenm.20200361610.1002/aenm.202003616 ↗
57. 10.1016/j.oneear.2022.08.01310.1016/j.oneear.2022.08.013 ↗
58. 10.1039/C9EE03258D10.1039/C9EE03258D ↗
59. 10.1021/acsnano.8b0979810.1021/acsnano.8b09798 ↗
60. Zefran M. · Robotics Autom. Handbook · 2005 · 5
61. 10.1021/acsnano.8b0979810.1021/acsnano.8b09798 ↗
62. 10.1021/acsenergylett.1c0109210.1021/acsenergylett.1c01092 ↗
63. 10.1016/j.nanoen.2016.12.00410.1016/j.nanoen.2016.12.004 ↗
64. 10.1002/adfm.20180263410.1002/adfm.201802634 ↗
65. 10.1002/aenm.20210003810.1002/aenm.202100038 ↗
66. 10.1016/j.nanoen.2018.03.06210.1016/j.nanoen.2018.03.062 ↗
67. 10.1039/C8NR09978B10.1039/C8NR09978B ↗