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Research Article

Composite laminar membranes for electricity generation from water evaporation

Xiao Wang1Gang Yuan1Han Zhou1Yu Jiang1Shuo Wang1Jiaojiao Ma1Chongyang Yang1Sheng Hu1,2,3( )
State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China
Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, China
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Abstract

Harvesting clean energy from water evaporation has been extensively investigated due to its sustainability. To achieve high efficiency, energy conversion materials should contain multiple features which are difficult to be simultaneously obtained from single-component materials. Here we use composite laminar membranes assembled by nanosheets of graphene oxide and mica, and find a sustained power density induced by water evaporation that is two orders of magnitude larger than that from membranes made by either of the components. The power output is attributed to selective proton transport driven by water evaporation through the interlayer nanochannels in the membranes. This process relies on the synergistic effects from negatively charged and hydrophilic mica surfaces that are important for proton selectivity and water transport, and the tunable electrical conductivity of graphene oxide that provides optimized internal resistance. The demonstrated composite membranes offer a strategy of enhancing power generation by combining the advantages from each of their components.

Graphical Abstract

Synergistic effects in mica and graphene composite laminar membranes promote the efficiency of electricity harvesting from water evaporation.

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Nano Research
Pages 307-311

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Cite this article:
Wang X, Yuan G, Zhou H, et al. Composite laminar membranes for electricity generation from water evaporation. Nano Research, 2024, 17(1): 307-311. https://doi.org/10.1007/s12274-023-5906-5
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Received: 26 April 2023
Revised: 22 May 2023
Accepted: 07 June 2023
Published: 24 July 2023
© Tsinghua University Press 2023