Microbial fuel cells: A fast converging dynamic model for assessing system performance based on bioanode kinetics. (7th June 2019)

• Record Type: Journal Article
• Authors: Gadkari, Siddharth; Shemfe, Mobolaji; Sadhukhan, Jhuma
• Is Part Of: International journal of hydrogen energy. Volume 44:Number 29(2019)
• Page Start: 15377
• Page End: 15386
• Publication Date: 2019-06-07
• Subjects: Microbial fuel cell -- Bioelectrochemical system -- Mathematical analysis -- Dynamic model -- Fast convergence; Hydrogen as fuel -- Periodicals; Hydrogène (Combustible) -- Périodiques; Hydrogen as fuel; Periodicals; 665.81
• DOI: 10.1016/j.ijhydene.2019.04.065
• Languages: English
• ISSNs: 0360-3199

Abstract

Abstract: 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. Highlights: A fast converging mathematical model is developed to describe a microbial fuel cell. Model based on bioanode kinetics assuming a non-limiting cathode. Effect of operating parameters on system performance is studied. Proposed model can serve as a good starting point for MFC system optimization studies.