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Kirigami-inspired triboelectric nanogenerator as ultra-wide-band vibrational energy harvester and self-powered acceleration sensor

Author

Listed:
  • Qi, Youchao
  • Kuang, Yang
  • Liu, Yaoyao
  • Liu, Guoxu
  • Zeng, Jianhua
  • Zhao, Junqing
  • Wang, Lu
  • Zhu, Meiling
  • Zhang, Chi

Abstract

Triboelectric Nanogenerators (TENGs) based on spring-assisted structures play a central role in scavenging vibrational energy that is widely available in the natural environment. However, they suffer from difficulties in adjusting the stiffness and bonding the springs to the triboelectric layer. Here, a kirigami-inspired TENG (KI-TENG) with a kirigami structure is demonstrated, which can be used as an ultra-wide-band vibrational energy harvester and self-powered acceleration sensor. The triboelectric layer of the KI-TENG can be easily processed into the kirigami structure with one or two-degree-of-freedom by laser cutting technology. The frequency responses of the KI-TENG under the influence of mass, acceleration, and initial distance are investigated in detail to optimize the structural design. With optimized structural parameters, the KI-TENG can not only harvest broadband vibration energy from 2 to 49 Hz in vertical vibration state but also obtain high output performance over a wide frequency range in horizontal vibration state. Moreover, the KI-TENG can be used as a sensor measuring acceleration from 1 to 9 m/s2. This work demonstrates a compact TENG coupled with the kirigami structure for energy harvesting and active sensing, which has great prospects in intelligent plants, artificial intelligence, and the internet age.

Suggested Citation

  • Qi, Youchao & Kuang, Yang & Liu, Yaoyao & Liu, Guoxu & Zeng, Jianhua & Zhao, Junqing & Wang, Lu & Zhu, Meiling & Zhang, Chi, 2022. "Kirigami-inspired triboelectric nanogenerator as ultra-wide-band vibrational energy harvester and self-powered acceleration sensor," Applied Energy, Elsevier, vol. 327(C).
    • Handle: RePEc:eee:appene:v:327:y:2022:i:c:s0306261922013496
    DOI: 10.1016/j.apenergy.2022.120092
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    1. Xu, Zhongwei & Li, Dianlun & Wang, Kun & Liu, Ye & Wang, Jiaxin & Qiu, Zhirong & Wu, Chaoxing & Lin, Jintang & Guo, Tailiang & Li, Fushan, 2022. "Stomatopod-inspired integrate-and-fire triboelectric nanogenerator for harvesting mechanical energy with ultralow vibration speed," Applied Energy, Elsevier, vol. 312(C).
    2. Li, Xiang & Cao, Yuying & Yu, Xin & Xu, Yuhong & Yang, Yanfei & Liu, Shiming & Cheng, Tinghai & Wang, Zhong Lin, 2022. "Breeze-driven triboelectric nanogenerator for wind energy harvesting and application in smart agriculture," Applied Energy, Elsevier, vol. 306(PA).
    3. Li Long & Wenlin Liu & Zhao Wang & Wencong He & Gui Li & Qian Tang & Hengyu Guo & Xianjie Pu & Yike Liu & Chenguo Hu, 2021. "High performance floating self-excited sliding triboelectric nanogenerator for micro mechanical energy harvesting," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Dae Sol Kong & Jae Yeon Han & Young Joon Ko & Sang Hyeok Park & Minbaek Lee & Jong Hoon Jung, 2021. "A Highly Efficient and Durable Kirigami Triboelectric Nanogenerator for Rotational Energy Harvesting," Energies, MDPI, vol. 14(4), pages 1-10, February.
    5. Sun, Rujie & Li, Qinyu & Yao, Jianfei & Scarpa, Fabrizio & Rossiter, Jonathan, 2020. "Tunable, multi-modal, and multi-directional vibration energy harvester based on three-dimensional architected metastructures," Applied Energy, Elsevier, vol. 264(C).
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    Cited by:

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    2. Zhang, Jiacheng & Yu, Yang & Li, Hengyu & Zhu, Mingkang & Zhang, Sheng & Gu, Chengjie & Jiang, Lin & Wang, Zhong Lin & Zhu, Jianyang & Cheng, Tinghai, 2024. "Triboelectric-electromagnetic hybrid generator with Savonius flapping wing for low-velocity water flow energy harvesting," Applied Energy, Elsevier, vol. 357(C).
    3. Pang, Yafeng & Zhu, Xingyi & Jin, Yiyang & Yang, Zichao & Liu, Shuainian & Shen, Lingjie & Li, Xinhong & Lee, Chengkuo, 2023. "Textile-inspired triboelectric nanogenerator as intelligent pavement energy harvester and self-powered skid resistance sensor," Applied Energy, Elsevier, vol. 348(C).
    4. Zhao, Lin-Chuan & Zhou, Teng & Chang, Si-Deng & Zou, Hong-Xiang & Gao, Qiu-Hua & Wu, Zhi-Yuan & Yan, Ge & Wei, Ke-Xiang & Yeatman, Eric M. & Meng, Guang & Zhang, Wen-Ming, 2024. "A disposable cup inspired smart floor for trajectory recognition and human-interactive sensing," Applied Energy, Elsevier, vol. 357(C).

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