Enhanced gas removal and cell performance of a microfluidic fuel cell by a paper separator embedded in the microchannel

Energy ◽  
2021 ◽  
pp. 122098
Author(s):  
Qiao Lan ◽  
Dingding Ye ◽  
Xun Zhu ◽  
Rong Chen ◽  
Qiang Liao
Keyword(s):  
Fuel Cell ◽  
Cell Performance ◽  
Gas Removal ◽  
Microfluidic Fuel Cell

scholarly journals The Effects of Electrode and Catalyst Selection on Microfluidic Fuel Cell Performance

2015 ◽  
Vol 2 (5) ◽  
pp. 356-372 ◽  
Author(s):  
Musaab K. Rashed ◽  
Mohamad Amran Mohd Salleh ◽  
Hayder A. Abdulbari ◽  
M. Halim Shah Ismail ◽  
Shamsul Izhar
Keyword(s):  
Fuel Cell ◽  
Cell Performance ◽  
Fuel Cell Performance ◽  
Microfluidic Fuel Cell ◽  
Catalyst Selection

Membraneless Liquid-Fuel Microfluidic Fuel Cells: A Computational Study

2004 ◽  
Author(s):  
Aimy Bazylak ◽  
David Sinton ◽  
Ned Djilali
Keyword(s):  
Fuel Cell ◽  
Aspect Ratio ◽  
High Aspect Ratio ◽  
Liquid Fuel ◽  
Cell Performance ◽  
Channel Cross Section ◽  
Fuel Utilization ◽  
Direction Parallel ◽  
Fuel Cell Performance ◽  
Microfluidic Fuel Cell

Presented in this paper is a computational analysis of a membraneless microfluidic fuel cell that uses the laminar nature of microflows to maintain the separation of fuel and oxidant streams. The fuel cell consists of a T-shaped microfluidic channel with liquid fuel and oxidant entering at separate inlets and flowing in parallel without turbulent or convective mixing. Electrodes are placed along the walls, and the resulting redox reactions provide the cell voltage and current. A concise electrochemical model of the key reactions and appropriate boundary conditions for the computational fluid dynamic (CFD) modelling of this system are developed and implemented into the numerical model. The coupled flow, species transport and chemical aspects of the microfluidic fuel cell are simulated. The effects of geometry and flow rates on fuel cell performance are investigated. Results indicate that the microfluidic fuel cell performance is limited by the transport of reactants through the concentration boundary layer to the electrodes. Three typical geometries were simulated, and it was found that increasing the aspect ratio of the channel cross-section from a square geometry to a rectangular one leads to more than a two-fold increase in fuel utilization. The two rectangular geometries simulated consist of a design with a high aspect ratio in the direction perpendicular to the plane of cross-stream diffusion as well as a design with a high aspect ratio in the direction parallel to the plane of cross-stream diffusion. The electrode placement and geometry play key roles with respect to mixing and fuel utilization. The design with a high aspect ratio in the direction perpendicular to the plane of cross-stream diffusion demonstrated relatively less cross-stream mixing compared to the other rectangular geometry, and had the potential for improved fuel utilization with appropriate electrode design. In addition, results suggest that fuel utilization can be increased from previous values by a factor of two or more. Decreasing the inlet velocity from 0.1 m/s to 0.02 m/s caused the fuel utilization to increase non-linearly from 8 % to 23 %, and only caused an increase of 3 % in cross-stream mixing at the outlet.

Numerical Study the Performance of Microfluidic Fuel Cell with Porous Electrodes

2013 ◽  
Vol 291-294 ◽  
pp. 585-588 ◽  
Author(s):  
Ming Feng Gao ◽  
Yu Xin Zuo ◽  
Ying Yu ◽  
Chun Cheng Zuo
Keyword(s):  
Fuel Cell ◽  
Flow Rate ◽  
Numerical Study ◽  
Three Dimensional ◽  
Volumetric Flow Rate ◽  
Porous Electrodes ◽  
Cell Performance ◽  
Physical Factors ◽  
Concept Design ◽  
Microfluidic Fuel Cell

Microfluidic fuel cell with flow-through porous electrodes is a new concept design which can significantly improve cell performance. In this paper, a three-dimensional numerical model which is based on mathematical formulations of laminar flow, species transport, and electrochemical reactions was developed to determine the effects of some important physical factors on cell performance. Moreover, this model also can be used to guide further optimization. The numerical simulation results obtained show that the cell performance is considered as functions of volumetric flow rate and porosity value. The peak power density increased almost linearly with the increase of flow rate when it less than 60µL min-1 .However, as the flow rate up to 60µL min-1, the cell performance becomes less sensitive to the increase of flow rate, and the corresponding maximum fuel utilization was achieved at the porosity value of 0.65.

scholarly journals MEMS-Based Microfluidic Fuel Cell for In Situ Analysis of the Cell Performance on The Electrode Surface

2020 ◽  
Vol 1444 ◽  
pp. 012044
Author(s):  
Yusuf Dewantoro Herlambang ◽  
Anis Roihatin ◽  
Kurnianingsih ◽  
Shun- Ching Lee ◽  
Jin-Cherng Shyu
Keyword(s):  
Fuel Cell ◽  
Electrode Surface ◽  
Cell Performance ◽  
In Situ Analysis ◽  
Microfluidic Fuel Cell

scholarly journals A capillary water retention effect to improve medium-temperature fuel cell performance

2013 ◽  
Vol 31 ◽  
pp. 120-124 ◽  
Author(s):  
So Young Lee ◽  
Dong Won Shin ◽  
Chenyi Wang ◽  
Kang Hyuck Lee ◽  
Michael D. Guiver ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Water Retention ◽  
Cell Performance ◽  
Capillary Water ◽  
Medium Temperature ◽  
Fuel Cell Performance

scholarly journals Effect of Pt and Ionomer Distribution on Polymer Electrolyte Fuel Cell Performance and Durability

2021 ◽  
Vol 4 (3) ◽  
pp. 2307-2317
Author(s):  
Aki Kobayashi ◽  
Takahiro Fujii ◽  
Chie Harada ◽  
Eiichi Yasumoto ◽  
Kenyu Takeda ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Polymer Electrolyte ◽  
Cell Performance ◽  
Polymer Electrolyte Fuel Cell ◽  
Fuel Cell Performance

A prospective study of anti-vibration mechanism of microfluidic fuel cell via novel two-phase flow model

Energy ◽  
2021 ◽  
Vol 218 ◽  
pp. 119543
Author(s):  
Jingxian Chen ◽  
Peihang Xu ◽  
Jie Lu ◽  
Tiancheng Ouyang ◽  
Chunlan Mo
Keyword(s):  
Fuel Cell ◽  
Prospective Study ◽  
Flow Model ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Vibration Mechanism ◽  
Microfluidic Fuel Cell ◽  
A Prospective Study

scholarly journals An Artificial Intelligence Solution for Predicting Short-Term Degradation Behaviors of Proton Exchange Membrane Fuel Cell

2021 ◽  
Vol 11 (14) ◽  
pp. 6348
Author(s):  
Zijun Yang ◽  
Bowen Wang ◽  
Xia Sheng ◽  
Yupeng Wang ◽  
Qiang Ren ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Activation Function ◽  
Proton Exchange ◽  
Cell Performance ◽  
Short Term ◽  
Degradation Behaviors ◽  
Hidden Layer ◽  
Exchange Membrane

The dead-ended anode (DEA) and anode recirculation operations are commonly used to improve the hydrogen utilization of automotive proton exchange membrane (PEM) fuel cells. The cell performance will decline over time due to the nitrogen crossover and liquid water accumulation in the anode. Highly efficient prediction of the short-term degradation behaviors of the PEM fuel cell has great significance. In this paper, we propose a data-driven degradation prediction method based on multivariate polynomial regression (MPR) and artificial neural network (ANN). This method first predicts the initial value of cell performance, and then the cell performance variations over time are predicted to describe the degradation behaviors of the PEM fuel cell. Two cases of degradation data, the PEM fuel cell in the DEA and anode recirculation modes, are employed to train the model and demonstrate the validation of the proposed method. The results show that the mean relative errors predicted by the proposed method are much smaller than those by only using the ANN or MPR. The predictive performance of the two-hidden-layer ANN is significantly better than that of the one-hidden-layer ANN. The performance curves predicted by using the sigmoid activation function are smoother and more realistic than that by using rectified linear unit (ReLU) activation function.

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