Microbial fuel cells: A fast converging dynamic model for assessing system performance based on bioanode kinetics
Microbial fuel cells: A fast converging dynamic model for assessing system performance based on bioanode kinetics
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DOI：
10.1016/j.ijhydene.2019.04.065
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发表时间：
2019-06-07
影响因子：
7.2
通讯作者：
Sadhukhan, Jhuma
中科院分区：
文献类型：
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作者：
Gadkari, Siddharth;Shemfe, Mobolaji;Sadhukhan, Jhuma
建立了单室微生物燃料电池（MFC）的动态计算模型，MFC由生物催化阳极和空气阴极组成。从生物质到阳极的电子转移被认为是通过细胞内介质发生的，因为它们经历了还原和氧化形式之间的转换。一个两种群模型被用来描述在阳极的生物膜和MFC电流计算的基础上电荷转移和欧姆定律，同时假设一个非限制性的阴极反应速率。电池的开路电压和内阻表示为底物浓度的函数。研究了初始底物浓度、外阻力等操作参数对MFC系统库仑效率、COD去除率和功率密度的影响。即使用简单的公式，模型预测被发现与实验研究中观察到的趋势一致。该模型可作为一种方便的工具，用于对一系列参数进行详细的参数分析，并有助于工艺优化。(C)2019作者（S）由爱思唯尔有限公司代表氢能出版有限责任公司出版。
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. (C) 2019 The Author(s). Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC.