Investigating the effects of operational factors on PEMFC performance based on CFD simulations using a three-level full-factorial design

Cheng, Shan-Jen; Miao, Jr‐Ming; Wu, Shukun

doi:10.1016/j.renene.2011.08.009

Cited by 68 publications

(26 citation statements)

References 26 publications

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“…According to the results obtained above; the cathode relative humidity has less effect on the cell performance than the anode relative humidity. Cheng et al [10] presented in their study the following results: Increasing the relative humidity enhances the membrane ion conductivity, which favours the current density output. On the other hand, reducing the mass fraction of oxygen gas at entrance plane with high relative humidity diminishes the fuel cell performance as the relative humidity of the cathode gas increases.…”

Section: B the Effect Of Cathode Humidificationmentioning

confidence: 94%

Effect of Humidification of the Reactant Gases in the Proton Exchange Membrane Fuel Cell

Kahveci¹,

Taymaz²

2015

JOCET

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Abstract-The performance of a PEM fuel cell depends on design and operating parameters such as cell operation temperature, operation pressure, relative humidity, mass flow rate of feed gases, channel geometries in current collector plate and the characteristics of the membrane, GDL, catalyst. In this study, a three-dimensional, single-phase model has been established to investigate the performance of PEM fuel cell with serpentine flow fields. The numerical simulation was realized with a PEM fuel cell model based on the FLUENT computational fluid dynamics (CFD) software. The simulation results were illustrated polarization curves including I-V and I-P curves. It was found that the anode humidification has more significant influences on the cell performance than the cathode humidification Index Terms-Current density, proton exchange membrane fuel cell, performance, relative humidity.

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Section: B the Effect Of Cathode Humidificationmentioning

confidence: 94%

Effect of Humidification of the Reactant Gases in the Proton Exchange Membrane Fuel Cell

Kahveci¹,

Taymaz²

2015

JOCET

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“…ANOVA is primarily designed for the analysis of experimental data. However it is noteworthy that a number of comparable studies have also employed ANOVA on the numerical results from verified simulation models, for example: [24,[40][41][42][43][44][45]. A full factorial design methodology is undertaken to analyse the results of the 1D electrochemical-thermal model and to determine the optimum energy and power by manipulating key design variables of the positive electrode.…”

Section: Statistical Analysis Of Design Variablesmentioning

confidence: 99%

Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance

2017

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A 1D electrochemical-thermal model of an electrode pair of a lithium ion battery is developed in Comsol Multiphysics. The mathematical model is validated against the literature data for a 10 Ah lithium phosphate (LFP) pouch cell operating under 1 C to 5 C electrical load at 25 • C ambient temperature. The validated model is used to conduct statistical analysis of the most influential parameters that dictate cell performance; i.e., particle radius (r p ); electrode thickness (L pos ); volume fraction of the active material (ε s,pos ) and C-rate; and their interaction on the two main responses; namely; specific energy and specific power. To achieve an optimised window for energy and power within the defined range of design variables; the range of variation of the variables is determined based on literature data and includes: r p : 30-100 nm; L pos : 20-100 µm; ε s,pos : 0.3-0.7; C-rate: 1-5. By investigating the main effect and the interaction effect of the design variables on energy and power; it is observed that the optimum energy can be achieved when (r p < 40 nm); (75 µm < L pos < 100 µm); (0.4 < ε s,pos < 0.6) and while the C-rate is below 4C. Conversely; the optimum power is achieved for a thin electrode (L pos < 30 µm); with high porosity and high C-rate (5 C).

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“…However, it might be impossible to achieve an acceptable uniformity and pressure drop only through the adjustment of the structural parameters for a specific configuration. One could use a multiple serpentine configuration or other designs with a small M and a large z such as Parallel-II or Parallel-III [34]. In the outer loop, the M decreased and the z increased as the number of channels decreased in a given active area for the multiple serpentine.…”

Section: Measures and Guidelinementioning

confidence: 99%

Discrete approach for flow field designs of parallel channel configurations in fuel cells

Wang

2012

International Journal of Hydrogen Energy

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Investigating the effects of operational factors on PEMFC performance based on CFD simulations using a three-level full-factorial design

Cited by 68 publications

References 26 publications

Effect of Humidification of the Reactant Gases in the Proton Exchange Membrane Fuel Cell

Effect of Humidification of the Reactant Gases in the Proton Exchange Membrane Fuel Cell

Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance

Discrete approach for flow field designs of parallel channel configurations in fuel cells

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