Multi-objective steady-state optimization of two-chamber microbial fuel cells

作者：Yang, Ke; He, Yijun^*; Ma, Zifeng

来源：Chinese Journal of Chemical Engineering, 2017, 25(8): 1000-1012.

DOI：10.1016/j.cjche.2017.03.019

• Microbial fuel cell
• Multi-objective optimization
• Genetic algorithm
• Level diagrams
• Pareto front

A microbial fuel cell (MFC) is a novel promising technology for simultaneous renewable electricity generation and wastewater treatment. Three non-comparable objectives, i.e. power density, attainable current density and waste removal ratio, are often conflicting. A thorough understanding of the relationship among these three conflicting objectives can be greatly helpful to assist in optimal operation of MFC system. In this study, a mult-iobjective genetic algorithm is used to simultaneously maximizing power density, attainable current density and waste removal ratio based on a mathematical model for an acetate two-chamber MFC. Moreover, the level diagrams method is utilized to aid in graphical visualization of Pareto front and decision making. Three bi-objective optimization problems and one three-objective optimization problem are thoroughly investigated. The obtained Pareto fronts illustrate the complex relationships among these three objectives, which is helpful for final decision support. Therefore, the integrated methodology of a multi-objective genetic algorithm and a graphical visualization technique provides a promising tool for the optimal operation of MFCs by simultaneously considering multiple conflicting objectives.

• 出版日期2017-8
• 单位上海交通大学