Application of CFD Techniques in the Modelling and Simulation of PBI PEMFC

Doubek, Gustavo; Robalinho, Eric; Cunha, Edgar Ferrari da; Cekinski, Efraim; Linardi, Marcelo

doi:10.1002/fuce.201000179

Cited by 18 publications

(7 citation statements)

References 30 publications

(31 reference statements)

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“…The model consists of agglomerates composed by ionic conducting phase (electrolyte) and electrically conducting nanoparticles (electrodes), forming a cluster or agglomerate wrapped in catalyst [6,14,15]. Besides that, the electrochemical reactions are used to validate the numerical model against a real fuel cell.…”

Section: Methodsmentioning

confidence: 99%

“…The model used here is the agglomerate model, which describes the current density in a catalyst layer. The model consists of agglomerates composed by ionic conducting phase (electrolyte) and electrically conducting nanoparticles (electrodes), forming a cluster or agglomerate wrapped in catalyst [6,14,15]. Anodic and cathodic current densities in the agglomerate model are given by Eqs.…”

Section: Methodsmentioning

confidence: 99%

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Shape Optimization of PEMFC Flow‐channel Cross‐Sections

2017

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This paper presents the modeling, simulation and optimization of a single channel proton exchange membrane fuel cell (PEMFC) using computational fluid dynamics methods. The shape optimization of the flow‐channels was employed to improve the electrical performance of the fuel cell. The maximization of the current density was the objective function of the single‐objective optimization problem, the upper and lower widths of the flow channels were the control variables and a cross‐section area restriction was imposed. The optimized flow‐channel PEMFC presented improved current generation characteristics, showing higher current and power densities and a more uniform current density distribution than the rectangular flow‐channel.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Shape Optimization of PEMFC Flow‐channel Cross‐Sections

2017

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“…Electrolyte volume fraction 0.26 Ref 32 Electrode conductivity (S m −1 ) σ s = 1000 Ref 33 Electrolyte conductivity (S m −1 )…”

Section: Governing Equationsmentioning

confidence: 99%

Heat and mass transfer in a unitized regenerative fuel cell during mode switching

Guo

et al. 2018

Int J Energy Res

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Summary With the occurrence of reversible electrochemical reactions, mode switching considerably affects the electric performance of unitized regenerative fuel cells (URFCs) owing to the complicated mass and heat transfer. Although limited researches have been done, no such studies on mass and heat transfer through a three‐dimensional view are envisioned during mode switching. A three‐dimensional full‐cell model was developed and validated to study the dynamic characteristics of a proton exchange membrane‐based URFC during mode switching. Mode switching was performed by changing operation voltage from 0.60 to 1.65 V. Results showed that species and heat transfer affect the electric performance of the cell during mode switching, especially through the third dimensional. Local water starvation occurs on oxygen side catalyst layer and thus results in slight reduction on current density and hydrogen generation. Restricted to heat transfer capacity through ribs, heat transfer process adds total response time in URFCs. Heat flux and surface heat transfer coefficient are forecasted on the hydrogen and oxygen sides. A total time of 4 seconds is essential for URFC reaching a new relative balanced state.

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“…The application of numerical techniques in modeling and simulation of fuel cells allowed many studies in plates design, flow channels and chemical reactions to better understand the phenomena that occurs inside the cells. The studies in interdigitated and parallel plates involving diffusion and convection of the gases , the development of new models to describe the transport phenomena , , studies of channels geometries , water management and fuel cell degradation contributed to the improvement of fuel cell performance. Jahnke et al reviews the state of the art techniques in modeling of PEMFCs, covering a wide range of phenomenon scales and the coupling between the different scales.…”

Section: Introductionmentioning

confidence: 99%

CFD Analysis of PEMFC Flow Channel Cross Sections

et al. 2017

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This paper presents a study of single‐channel proton exchange membrane fuel cells (PEMFCs) using computational modeling and simulation. For this analysis, the commercial software COMSOL Multiphysics was used to build a single‐phase isothermal and tridimensional fuel cell model. For the mathematical description of the catalyst layer, the flooded agglomerate model was implemented, and it proved to be more accurate than Butler‐Volmer model, which is the pre‐built model in the software. Such evidence was verified when comparing the polarization curves obtained using both models with an experimental curve. After definition of the model, the main objective of this study was to analyze the influence of the flow channel cross‐section in the water distribution inside the cell, studying rectangular, trapezoidal and hybrid stepped geometries. The fuel cell with stepped channel was equivalent to the trapezoidal cell in all aspects analyzed, and both provided superior water management than the rectangular cell. However, the current generation in the rectangular design was slightly higher. It was noted that the simulation of a tridimensional model provided a better understanding of the regions where higher concentrations of water can occur, and that different flow channel designs can be used to enhance water management.

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Application of CFD Techniques in the Modelling and Simulation of PBI PEMFC

Cited by 18 publications

References 30 publications

Shape Optimization of PEMFC Flow‐channel Cross‐Sections

Shape Optimization of PEMFC Flow‐channel Cross‐Sections

Heat and mass transfer in a unitized regenerative fuel cell during mode switching

CFD Analysis of PEMFC Flow Channel Cross Sections

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