Issue 2, 2023

Brownian motor inspired monodirectional continuous spinning triboelectric nanogenerators for extracting energy from irregular gentle water waves

Abstract

Artificial or biological Brownian motors can achieve directional motion by extracting energy from a chaotic but non-thermodynamic-equilibrium environment based on asymmetry in the potential landscape. It may inspire macroscopic mechanical energy harvesting from the environment, especially water waves, which present similar characteristics with irregular and usually small-amplitude chaotic force, imposing great challenges for conventional bulky generators that need a deterministic driving force. Here, we demonstrate a macroscopic analogue of Brownian motors for effective water wave energy harvesting based on the triboelectric nanogenerator and its networks. The design adopts a novel strategy of dual symmetry breakings to convert irregular wave excitation to internal unidirectional rotation. Meanwhile, inertia wheels are utilized to cache energy from each transient excitation for a prolonged motion. Consequently, a monodirectional continuous spinning triboelectric nanogenerator is realized for effectively extracting energy from irregular water waves, performing much superiorly to previous designs. Due to the generality of the strategies, this work points out an important paradigm for harvesting energy from random excitations on different scales in the environment by learning from microscopic molecular systems which are intrinsically adaptive to chaotic force and can have high efficiency.

Graphical abstract: Brownian motor inspired monodirectional continuous spinning triboelectric nanogenerators for extracting energy from irregular gentle water waves

Supplementary files

Article information

Article type
Paper
Submitted
19 Oct 2022
Accepted
22 Nov 2022
First published
23 Nov 2022

Energy Environ. Sci., 2023,16, 473-483

Brownian motor inspired monodirectional continuous spinning triboelectric nanogenerators for extracting energy from irregular gentle water waves

H. Qiu, H. Wang, L. Xu, M. Zheng and Z. L. Wang, Energy Environ. Sci., 2023, 16, 473 DOI: 10.1039/D2EE03395J

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