A general strategy to simulate osmotic energy conversion in multi-pore nanofluidic systems. (2nd March 2018)

• Record Type: Journal Article
• Authors: Xiao, Feilong; Ji, Danyan; Li, Hao; Tang, Jialiang; Feng, Yaping; Ding, Liping; Cao, Liuxuan; Li, Ning; Jiang, Lei; Guo, Wei
• Is Part Of: Materials chemistry frontiers. Volume 2:Number 5(2018)
• Page Start: 935
• Page End: 941
• Publication Date: 2018-03-02
• Subjects: Materials science -- Periodicals; Chemistry -- Periodicals; 540
• DOI: 10.1039/c8qm00031j
• Languages: English
• ISSNs: 2052-1529

Abstract

Abstract : To get precise simulation for ion transport in porous nanofluidic systems, the influence of neighbouring nanopores should be seriously considered. Abstract : 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 high-efficiency harvesting of the salinity gradient power and surpasses the conventional polymeric ion-exchange 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.