Computational modeling studies on microfluidic fuel cell: A prospective review

微生物燃料电池 堆积 计算机科学 燃料电池 生化工程 电解质 建模与仿真 计算模型 质子交换膜燃料电池 计算流体力学 机械工程 纳米技术 功率(物理) 模拟 工程类 材料科学 发电 航空航天工程 电极 化学 物理 量子力学 物理化学 化学工程 有机化学
作者
Baoxin Wu,Xinhai Xu,Guangzhong Dong,Mingming Zhang,Shijing Luo,Dennis Y.C. Leung,Yifei Wang
出处
期刊:Renewable & Sustainable Energy Reviews [Elsevier]
卷期号:191: 114082-114082 被引量:4
标识
DOI:10.1016/j.rser.2023.114082
摘要

Microfluidic fuel cell (MFC) is a burgeoning category of micro fuel cell technology based on laminar flow electrolytes. The merits of MFC, such as the absence of membrane electrolyte, flexible reactants selection, and high electrolyte conductivity, have been attracting researchers to explore this frontier area over the past two decades. However, realizing practical applications of MFCs remains a tremendous challenge. Many research works have been done to expedite research progress and obtain results reflecting inner mechanism via computational modeling and simulation, the general procedure of which is introduced in this paper. These studies primarily investigate the effects of various geometrical and operational parameters on diverse cell performance metrics, such as open-circuit voltage, current and power densities, and fuel utilization efficiency. However, contradictory outcomes and conclusions may arise due to disparities in the structural and parametric characteristics among different MFC models. In this regard, this review comprehensively summarizes prior computational modeling studies on MFC technology, with specific emphasis on different cell components including microchannels, inlets and outlets, electrodes, etc., as well as effects of different operational conditions encompassing electrolyte input, cell vibration, gas bubbling, and gravity. In addition, other related studies involving paper-based MFCs, cell stacking, and twin models are also introduced. Lastly, the future research perspective on MFC computational modeling is proposed, including potential structural innovations and modeling methods. This review paper shows the big puzzle of MFC modeling, the missing part of which is worthy of further study in the future.
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