Literature DB >> 33179495

Blue Energy Conversion from Holey-Graphene-like Membranes with a High Density of Subnanometer Pores.

Hao Wang1, Liangmei Su1, Mehmet Yagmurcukardes2, Jiawei Chen1, Yu Jiang1, Zhe Li1, Anchang Quan1, Francois M Peeters2, Cheng Wang1, Andre K Geim3,4, Sheng Hu1,5.   

Abstract

Blue energy converts the chemical potential difference from salinity gradients into electricity via reverse electrodialysis and provides a renewable source of clean energy. To achieve high energy conversion efficiency and power density, nanoporous membrane materials with both high ionic conductivity and ion selectivity are required. Here, we report ion transport through a network of holey-graphene-like sheets made by bottom-up polymerization. The resulting ultrathin membranes provide controlled pores of <10 Å in diameter with an estimated density of about 1012 cm-2. The pores' interior contains NH2 groups that become electrically charged with varying pH and allow tunable ion selectivity. Using the holey-graphene-like membranes, we demonstrate power outputs reaching hundreds of watts per square meter. The work shows a viable route toward creating membranes with high-density angstrom-scale pores, which can be used for energy generation, ion separation, and related technologies.

Entities:  

Keywords:  atomic scale pores; graphene; ion transport; osmotic energy; surface charge

Year:  2020        PMID: 33179495     DOI: 10.1021/acs.nanolett.0c03342

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  2 in total

1.  Cation-selective two-dimensional polyimine membranes for high-performance osmotic energy conversion.

Authors:  Zhen Zhang; Preeti Bhauriyal; Hafeesudeen Sahabudeen; Zhiyong Wang; Xiaohui Liu; Mike Hambsch; Stefan C B Mannsfeld; Renhao Dong; Thomas Heine; Xinliang Feng
Journal:  Nat Commun       Date:  2022-07-08       Impact factor: 17.694

2.  Anion-Selective Layered Double Hydroxide Composites-Based Osmotic Energy Conversion for Real-Time Nutrient Solution Detection.

Authors:  Yaqian Liu; Jianfeng Ping; Yibin Ying
Journal:  Adv Sci (Weinh)       Date:  2022-01-06       Impact factor: 16.806

  2 in total

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