چكيده به لاتين
Energy production is one of the most fundamental challenges today, and due to the limited use of fossil fuels, finding alternative sources of energy has become one of the hottest research topics for researchers. One of the newest methods of energy production is to use different concentrations of different water sources. When two fluids with different concentrations are on both sides of a nanochannel membrane, they can produce energy due to the energy of mixing fluids. Given the costs and limitations of experimental study of these systems, simulation is necessary to find the optimal states and study the behavior of these systems. This study investigates the effect of nanochannel geometry on ionic transfer behavior with an energy generation approach. Symmetric (cylindrical) and asymmetric geometries (conical, bullet, trumpet, cigarette, hourglass, and hill) were used. In these geometries, the effect of different geometries, soft layer charge density, and concentration ratio is adopted using a finite element numerical computation approach for the Poisson-Nernst-Planck, and Navier-Stokes equations in the steady-state on energy production considering the effect of ionic partitioning effect in soft surfaces were examined. The results showed that: the best geometry in the ratio of low and high concentrations to create the most osmotic current (cylindrical, cigarette), transference number (hourglass, trumpet), diffusion potential (hourglass, trumpet), electrical conductivity (cylindrical), energy generation (cylindrical, horn) and energy conversion efficiency (hourglass, horn) were obtained, respectively. For instance, with considering ionic partitioning effect (η_ε=η_D=0.75 ,η_μ=2) in the concentration ratio C_H⁄C_L =1000 for trumpet geometry by increasing the charge density of the soft layer from N_PEL⁄N_A =25 mol〖/m〗^3 to N_PEL⁄N_A =100 mol〖/m〗^3, the maximum power generation increased approximately 25 times, i.e., from 0.215 pW to 5.35 pW.
