Authors
1
Department of Chemical Engineering, Faculty of Engineering, University of Bojnord , Bojnord, Iran
2
Department of Chemical Engineering, Faculty of Petrochemistry, University of Bojnord,, Bojnord, Iran
3
PhD Student of Civil and Environmental Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68588-0531, USA
10.22034/ijche.2024.432407.1382
Abstract
Microbial fuel cell are modeled using various mathematical and computational methods in order to better understand the complex behavior of these cells and optimize their performance. In the modeling process, various effects including biological effects, mass transfer, energy and charge in anode and cathode are considered. These models cover a wide range of processes by considering different material phases, boundary conditions, microbial growth, reaction kinetics at anode and cathode, and electrochemical behavior of the system. The power of a model lies in the ability to predict and the balance between computing time and the accuracy of its results. The aim of these models is to provide a comprehensive understanding of the phenomena occurring in the microbial fuel cell, which includes a wide range of processes. In addition, the models consider the effects of environmental changes on microbial growth, flow hydrodynamics, and electron transfer from the microbial surface to the anode. These models are essential to identify the key factors that affect the overall system and improve the power output of microbial fuel cells.
Keywords
Main Subjects
)