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Arman Sadeghi

Arman Sadeghi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 36009309900
Faculty: Faculty of Engineering
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Research

Title
Tripling the reverse electrodialysis power generation in conical nanochannels utilizing soft surfaces
Type
JournalPaper
Keywords
Reverse electrodialysis; Conical nanochannel; Polyelectrolyte layer; Salinity gradient; Energy harvesting
Year
2021
Journal PHYSICAL CHEMISTRY CHEMICAL PHYSICS
DOI
Researchers Mahdi Khatibi ، Arman Sadeghi ، Seyed Nezameddin Ashrafizadeh

Abstract

We theoretically investigate the feasibility of enhancing the reverse electrodialysis power generation in nanochannels by covering the surface with a polyelectrolyte layer (PEL). Along this line, two conical nanochannels are considered that differ in the extent of the covering. Each nanochannel connects two large reservoirs filled with KCl electrolytes of different ionic concentrations. Considering the Poisson-Nernst-Planck and Navier-Brinkman equations, finite-element-based numerical simulations are performed under a steady-state. The influences of the PEL properties and the salinity gradient on the reverse electrodialysis characteristics are examined in detail via a thorough parametric study. It is shown that the maximum power generated is an increasing function of the charge density and the thickness of the PEL. This means that the maximum power generated may be theoretically increased to any desired degree by covering the nanochannel surface with a sufficiently dense and thick PEL. Considering a typical PEL with the charge density of 100 mol.m^(-3) and the thickness 8 nm along with a high-to-low concentration ratio of 1000, we demonstrate that it is possible to extract a power density of 51.5 W/m^2, which is nearly three times the maximum achievable value employing bare conical nanochannels at the same salinity gradient.