School of Mechanical Engineering, Guangxi University, Nanning 530004, PR China; Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning 530004, PR China.
School of Mechanical Engineering, Guangxi University, Nanning 530004, PR China.
Bioresour Technol. 2023 Aug;382:129193. doi: 10.1016/j.biortech.2023.129193. Epub 2023 May 17.
Microfluidic microbial fuel cell has lower costs and greater potential than typical microbial fuel cell due to the elimination of proton exchange membrane. However, the development has mostly relied on experiments, and there has been little research on numerical simulations. Based on experimental validation, a reliable and universal model for microfluidic microbial fuel cell without quantifying the biomass concentration is proposed. Subsequently, the primary work is to study the output performance and energy efficiency of the microfluidic microbial fuel cell under different operating conditions and to comprehensively optimize the cell performance by employing the multi-objective particle swarm algorithm. Compared the optimal case with the base case, the increase ratios of maximum current density, power density, fuel utilization and exergy efficiency are 40.96%, 20.87%, 61.58% and 32.19%, respectively. On the basis of improving energy efficiency, the maximum power density and current density can reach 1.193 W/m and 3.51 A/m.
由于消除了质子交换膜，微流控微生物燃料电池的成本比典型的微生物燃料电池更低，潜力也更大。然而，其发展主要依赖于实验，而数值模拟的研究却很少。基于实验验证，提出了一种可靠且通用的微流控微生物燃料电池模型，无需量化生物质浓度。随后，主要工作是研究不同操作条件下微流控微生物燃料电池的输出性能和能量效率，并通过多目标粒子群算法综合优化电池性能。将最优情况与基准情况进行比较，最大电流密度、功率密度、燃料利用率和㶲效率的提高比例分别为 40.96%、20.87%、61.58%和 32.19%。在提高能量效率的基础上，最大功率密度和电流密度可分别达到 1.193 W/m 和 3.51 A/m。
