Journal
MATERIALS CHEMISTRY FRONTIERS
Volume 2, Issue 5, Pages 935-941Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c8qm00031j
Keywords
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Funding
- Fundamental Research Funds for the Central Universities of China [20720170050]
- National Natural Science Foundation of China [11405143, 21522108, 11335003]
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As a type of clean energy resource, salinity gradient power between seawater and river water is important to satisfy the ever-growing energy demand on earth. In the recent years, the use of reverse electrodialysis in biomimetic nanofluidic systems has become a promising way for large-scale and highefficiency harvesting of the salinity gradient power and surpasses the conventional polymeric ionexchange membrane-based process. With regard to practical applications, significant efforts have been made towards the design and fabrication of high-performance and economically viable materials and devices. However, while extrapolating from single nanopores to multi-pore membrane materials, the commonly used linear amplification method causes severe deviation from the actual experimental value obtained on nanoporous membranes, particularly at a high pore density. An appropriate simulation method is therefore highly demanded and a great challenge. Herein, we present a general strategy for multi-pore nanofluidic systems by taking the influence of neighbouring nanopores into consideration. We have found that the fourth nearest-neighbor approximation is sufficiently precise for simulation in nanoporous systems. The simulation data are in good agreement with the experimental results. The simulation method provides insights for understanding the pore-pore interaction in porous nanofluidic systems and for the design of high-performance devices.
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