High Ionic Flux Sub‐Micro Channels Membrane Model for Salinity Gradient Power Generation

Author:

Jiang Jiaqiao1,Lu Bingxin1,Xu Yanglei2,Zhai Jin1ORCID,Fan Xia1ORCID

Affiliation:

1. Key Laboratory of Bio‐Inspired Smart Interfacial Science and Technology of Ministry of Education School of Chemistry Beihang University Beijing 100191 P. R. China

2. Beijing Key Laboratory of Lignocellulosic Chemistry College of Materials Science and Technology Beijing Forestry University Beijing 100083 P. R. China

Abstract

AbstractSalinity gradient cells are widely used in power generation from gradient concentration solutions of one electrolyte. High ionic flux sub‐micro channels membrane can offer a high current density for salinity gradient power generation with a significant power output. Herein, based on numerical simulation model with Poisson‐Nernst‐Planck‐Navier‐Stokes (PNP‐NS) equations, a high ionic flux sub‐micro channel model with assumption is introduced that measured current is contributed by Cl ionic flux across the membrane. An ion channel system is built for experiment, in which a glass membrane with regular symmetric sub‐micro cylindrical channels and high effective channel area is applied, ion conductance and salinity gradient energy conversion property are tested. This PNP‐NS equations model simulation fits experiment well, its mechanism is also studied by the model. In addition, by mixing artificial sea water (0.5 m NaCl) and river water (0.01 mm NaCl), the output power density of this 50‐fold salinity gradient system can achieve 4.16 W m−2, and the highest output power density will be up to 7.91 W m−2 under a 0.5 m/0.001 m 500‐fold salinity gradient. This high ionic flux membrane shows a good performance for practical application in salinity gradient power generation.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Wiley

Subject

General Environmental Science,Renewable Energy, Sustainability and the Environment

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