Macroscopic self-assembly network of encapsulated high-performance triboelectric nanogenerators for water wave energy harvesting

By Xiaodan Yang, Liang Xu, Pei Lin, Wei Zhong, Yuanyuan Bai, Jianjun Luo, Jian Chen, Zhong Lin Wang. Nano Energy, 2019

179 citations recorded by the source corpus.

Abstract Water wave energy is one of the tremendous clean energy reserves on earth. The utilization of wave power has long been focused but at limited scope due to challenges such as cost and durability in severe ocean environment. Here, a macroscopic self-assembly network of encapsulated triboelectric nanogenerators (TENGs) is proposed for the first time for water wave energy harvesting. By a rationally designed self-adaptive magnetic joints, the network demonstrated capabilities of self-assembly, self-healing and facile reconfiguration, greatly improving the autonomy and robustness of the system. A three-dimensional electrode structure boosts the output of the TENG unit, with an average power density of 8.69 W m−3 under ideal agitations and 2.05 W m−3 in water waves, which is more than 18 times of the power of the reported ball-shell structured device despite lower agitation frequency here. The self-assembly TENG network as a robust and high-performance structure should provide a reliable route towards large-scale utilization of the water wave energy, enabling self-powered systems in ocean.

Subfields: Biomedical Engineering, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/985195a28b6d06e9413d0b92764dc620e24a0688

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In Biomedical Engineering

  1. Long Liu
  2. Xinge Guo
  3. Chengkuo Lee
  4. Jianjun Luo
  5. Zhou Li
  6. Minyi Xu
  7. Xiu Xiao
  8. Zhong Lin Wang

In Polymers and Plastics

  1. Long Liu
  2. Chengkuo Lee
  3. Xinge Guo
  4. Jianjun Luo
  5. Zhou Li
  6. Minyi Xu
  7. Xiu Xiao
  8. Tiancong Zhao

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