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A TRIBOELECTRIC NANOGENERATOR BASED ON A PENDULUM-PLATE WAVE ENERGY CONVERTER

Abstract

Ocean waves are a promising source of renewable energy, but harvesting this irregular low-frequency energy is challenging due to technological limitations. In this paper, a pendulum plate-based triboelectric nanogenerator (PP-TENG) is proposed. The PP-TENG absorbs wave energy through the pendulum plate installed at the bottom of the device, which generates a swing effect. This drives the motion of the upper TENG power generation unit and generates a charge transfer on the surface of a film of polymer PTFE and nylon, materials which are very sensitive to the low-frequency wave environment. The PP-TENG was tested after building a semi-physical simulation test platform. When the polymer materials were PTFE with a thickness of 0.01 mm and nylon with a thickness of 0.02 mm, 33 commercial LED lamps could be lit simultaneously. Moreover, under short-circuit conditions, the current reached 2.45 μA, and under open-circuit conditions, the voltage reached 212 V. When the PP-TENG was connected in series with a resistor with a resistance of 3 x 105 Ω, its maximum peak power density reached 6.74 mW/m2. It can be concluded that the PP-TENG is characterised by low fabrication costs and excellent energy conversion efficiency. The combination of a pendulum wave energy converter with a TENG shows great output performance. This research lays a solid foundation for practical applications of the proposed structure in the future.

Keywords:

TENG, wave energy, computer simulation, semi-physical simulation

Details

Issue
Vol. 29 No. 4 (2022)
Section
Latest Articles
Published
19-01-2023
DOI:
https://doi.org/10.2478/pomr-2022-0053
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Shenglin Zhu

    China
  • Shaohui Yang

    China
  • Hui Li

    China
  • Yan Huang

    China
  • Zhichang Du

    China
  • Jianyu Fan

    China
  • Zhonghua Lin

    China

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