Predicting the performance of microfluidic fuel cells

doi:10.3969/j.issn.0253-2778.2010.10.006

Journal of University of Science and Technology of China ›› 2010, Vol. 40 ›› Issue (10): 1023-1028.DOI: 10.3969/j.issn.0253-2778.2010.10.006

Previous Articles Next Articles

Predicting the performance of microfluidic fuel cells

LU Zhaosheng

1.Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China; 2.Department of Physics, University of Science and Technology of China, Hefei 230026, China

Received:2010-05-20 Revised:2010-10-13 Online:2010-10-31 Published:2010-10-31
Contact: HE Liqun. PhD/associate Prof. E-mail: heliqun@ustc.edu.cn
About author:LU Zhaosheng, male, born in 1984, master. Research field: microfludic fuel cell. E-mail: zslu@mail.ustc.edu.cn

Abstract

Abstract: The performance of microfluidic-based fuel cells was predicted numerically by Fluent, where liquid fuel and liquid oxidant flow side by side in a channel at microscale and the current of electricity is achieved by electrochemical reactions at electrodes on channel walls. The obtained polarization curves were found to be in good agreement with experiments, and with the increase in the volumetric flow rate, the cell performance rises gradually. In our case, the cell performance is very sensitive to the content of oxygen in the cathode stream, while it is insensitive to the concentration of formic acid in the anode stream, confirming the cathode limited performance in microfluidic fuel cell as reported by others.

Key words: microfluidic fuel cell, polarization curve, simulation, FLUENT

LU Zhaosheng, KONG Wei, LI Jiayu, CHEN Daifen, DOU Xuan,WU Ping, HE Liqun. Predicting the performance of microfluidic fuel cells[J]. Journal of University of Science and Technology of China, 2010, 40(10): 1023-1028.

[1]	BAI Jiangbo, YANG Yang, ZHANG Wensheng. A simulation of the synthetic aperture radar image based on improved CycleGAN [J]. Journal of University of Science and Technology of China, 2020, 50(8): 1181-1186.
[2]	YU Shengsheng, WEN Wu, XU Minggao, YANG Jiuchong, BI Hailin, WANG Xudi, QI Fei, PAN Yang. Development of an in situ high-pressure catalytic reactor for synchrotron radiation photoionization mass spectrometry [J]. Journal of University of Science and Technology of China, 2020, 50(7): 880-886.
[3]	LI Hai, TANG Zhiguo, GAO Qing, ZHANG Feng, SONG Anqi. Analysis of heat transfer characteristics of an air jet cooling a conical heat sink [J]. Journal of University of Science and Technology of China, 2020, 50(5): 551-558.
[4]	LU Dunfang, HU Peng. Energy and exergy analyses of seawater desalination system based on absorption heat transformer driven by solar energy [J]. Journal of University of Science and Technology of China, 2020, 50(5): 570-575.
[5]	HUANG Lihang, ZHU Minming, YE Taohong. Sparse-Lagrangian FDF simulation of Sandia flame E with modified density coupling [J]. Journal of University of Science and Technology of China, 2020, 50(5): 589-595.
[6]	GUO Peng, ZHAO Majie, ZHU Minming, YE Taohong. An analysis of nonlinear response of free circular jets to acoustic excitation [J]. Journal of University of Science and Technology of China, 2019, 49(6): 465-475.
[7]	ZHANG Xuanxuan, NIU Guoging, LI Yuanzhi. Research on smoke entrainment rate of urban highway tunnel near the fire source area [J]. Journal of University of Science and Technology of China, 2019, 49(4): 329-342.
[8]	XIE Chen, ZHU Minming, CHEN Yiliang. Large eddy simulation on the wake of a circular disk at a high Reynolds number [J]. Journal of University of Science and Technology of China, 2019, 49(11): 930-939.
[9]	ZHANG Hongda, WAN Bin, ZHANG Chengkai, LIN Hongjun, SHANG Shoutang, HAN Xingsi, YE Taohong. Numerical simulation of non-reacting flow fields in combustors [J]. Journal of University of Science and Technology of China, 2019, 49(11): 940-946.
[10]	XIA Zhaoyang, ZHANG Hongda, YU Zhou, YE Taohong, TANG Peng. Large eddy simulation of turbulent swirling flow based on the swirling-strength subgrid scale stress model [J]. Journal of University of Science and Technology of China, 2018, 48(3): 236-245.
[11]	ZHENG Xiang, WEI Yongfeng. Pricing and hedging barrier options based on Merton model and Monte Carlo simulation [J]. Journal of University of Science and Technology of China, 2018, 48(11): 906-922.
[12]	YAO Mengyun, GU Hailin,ZHAO Pu, HUANG Hongjie, LI Xinlong, LIU Minghou. LES of uniform flow over tandem circular disks [J]. Journal of University of Science and Technology of China, 2017, 47(5): 435-442.
[13]	LUO Zhihuang, PENG Xinhua. Quantum simulation of topological phases of quantum matter with nuclear magnetic resonance [J]. Journal of University of Science and Technology of China, 2017, 47(2): 117-128.
[14]	PENG Hong, LENG Wei. Progress in the study of subduction initiation [J]. Journal of University of Science and Technology of China, 2017, 47(2): 163-175.
[15]	ZHANG Donghua, WANG Jiajun, XIA Baicheng, YU Wancheng. Thermodynamic properties of a DNA hairpin under a pulling force [J]. Journal of University of Science and Technology of China, 2017, 47(12): 996-1001.

Predicting the performance of microfluidic fuel cells

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments