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Microbial fuel cells: a fast converging dynamic model for assessing system performance based on bioanode kinetics

Gadkari, Siddharth, Shemfe, Mobolaji and Sadhukhan, Jhuma (2019) Microbial fuel cells: a fast converging dynamic model for assessing system performance based on bioanode kinetics International Journal of Hydrogen Energy, 44 (29). pp. 15377-15386.

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In this work, a dynamic computational model is developed for a single chamber microbial fuel cell (MFC), consisting of a bio-catalyzed anode and an air-cathode. Electron transfer from the biomass to the anode is assumed to take place via intracellular mediators as they undergo transformation between reduced and oxidized forms. A two-population model is used to describe the biofilm at the anode and the MFC current is calculated based on charge transfer and Ohm's law, while assuming a non-limiting cathode reaction rate. The open circuit voltage and the internal resistance of the cell are expressed as a function of substrate concentration. The effect of operating parameters such as the initial substrate (COD) concentration and external resistance, on the Coulombic efficiency, COD removal rate and power density of the MFC system is studied. Even with the simple formulation, model predictions were found to be in agreement with observed trends in experimental studies. This model can be used as a convenient tool for performing detailed parametric analysis of a range of parameters and assist in process optimization.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Date : 7 June 2019
Funders : Natural Environment Research Council (NERC)
DOI : 10.1016/j.ijhydene.2019.04.065
Copyright Disclaimer : © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Uncontrolled Keywords : Microbial fuel cell; Bioelectrochemical system; Mathematical analysis; Dynamic model; Fast convergence
Related URLs :
Depositing User : Clive Harris
Date Deposited : 03 May 2019 08:42
Last Modified : 29 Apr 2020 02:08

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