Hydrodynamic characterisation and modelling of anode flow fields of Direct Methanol Fuel Cells

Krewer, Ulrike; Pfafferodt, Matthias; Kamat, Ashish; Menendez, D. Fernandez; Sundmacher, Kai

doi:10.1016/j.cej.2006.09.001

Cited by 24 publications

(19 citation statements)

References 12 publications

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“…The hydrodynamic behaviour of the first three flow field types has been experimentally and theoretically analysed in [30]. In order to study the flow field influence on the dynamic behaviour, these flow fields [30] are integrated into single cell DMFCs. The flow field geometry is displayed in Fig.…”

Section: Anode Flow Fieldsmentioning

confidence: 99%

“…Simulation with physico-chemical models give a deep insight into the interaction of the processes and the cause of overshooting; the here presented experiments are conducted in parallel to identify model parameters and check the validity of the model. The applied models are a combination of the reduced hydrodynamic models being proposed in [30] with anode reaction kinetics identified in [26] and the basic dynamic model presented in [15]. They correctly predict the experimentally observed influence of operating conditions on the cell voltage response and highlight the influence of anode flow field design and volume flow rate.…”

Section: Introductionmentioning

confidence: 96%

“…Furthermore, such models are typically not applicable to dynamic simulations and control. The reduced models [30] have a more promising approach for modelling complete DMFCs, especially when focusing on dynamic aspects.…”

Section: Introductionmentioning

confidence: 99%

“…Also, due to the low flow rate applied in portable DMFC systems, the methanol distribution within the anode flow field may have an impact on the dynamic behaviour. In previous research [30], the residence time behaviour and concentration distribution of three anode flow field designs were studied both experimentally and by 3D numerical flow simulations (computational fluid dynamics, CFD). In addition, reduced hydrodynamic models composed of ideal reactor networks were investigated.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Understanding the dynamic behaviour of direct methanol fuel cells: Response to step changes in cell current

Krewer

Kamat

Sundmacher

2007

Journal of Electroanalytical Chemistry

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Section: Anode Flow Fieldsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Understanding the dynamic behaviour of direct methanol fuel cells: Response to step changes in cell current

Krewer

Kamat

Sundmacher

2007

Journal of Electroanalytical Chemistry

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“…The improved SOFC models with the new charge balance equation provide a better understanding of the main phenomena governing the electrochemical reactions in fuel cells [20][21].…”

Section: Appendix I Derivation Of Charge Balance Equationmentioning

confidence: 99%

Improved Tank in Series Reactor Model for Tubular Solid Oxide Fuel Cell Stacks

2011

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An improved tank in series reactor model for the tubular solid oxide fuel cell stack is presented. The model accounts for the charge balances in the electrodes and electrolyte in addition to the component and energy balances, and is used to simulate the potentiostatic operation of the stack. Moreover, the time required for simulating this model is much less compared to the more elaborate three-dimensional models in the literature. The results demonstrate a strong coupling between the temperature, concentration and current density distributions.

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Dynamic tank in series modeling of direct internal reforming SOFC

Hosseini

Vijay

Ahmed

et al. 2017

Int. J. Energy Res.

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Summary A dynamic tank in series reactor model of a direct internally reforming solid oxide fuel cell is presented and validated using experimental data as well as a computational fluid dynamics (CFD) model for the spatial profiles. The effect of the flow distribution pattern at the inlet manifold on the cell performance is studied with this model. The tank in series reactor model provides a reasonable understanding of the spatio‐temporal distribution of the key parameters at a much lesser computational cost when compared to CFD methods. The predicted V–I curves agree well with the experimental data at different inlet flows and temperatures, with a difference of less than ±1.5%. In addition, comparison of the steady‐state results with two‐dimensional contours from a CFD model demonstrates the success of the adopted approach of adjusting the flow distribution pattern at the inlet boundaries of different continuous stirred tank reactor compartments. The spatial variation of the temperature of the PEN structure is captured along with the distributions of the current density and the anode activation over‐potential that strongly related to the temperature as well as the species molar fractions. It is found that, under the influence of the flow distribution pattern and reaction rates, the dynamic responses to step changes in voltage (from 0.819 to 0.84 V), fuel flow (15%) and temperature changes (30 °C), on anode side and on cathode side, highly depend on the spatial locations in the cell. In general, the inlet points attain steady state rapidly compared to other regions. Copyright © 2017 John Wiley & Sons, Ltd.

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Hydrodynamic characterisation and modelling of anode flow fields of Direct Methanol Fuel Cells

Cited by 24 publications

References 12 publications

Understanding the dynamic behaviour of direct methanol fuel cells: Response to step changes in cell current

Understanding the dynamic behaviour of direct methanol fuel cells: Response to step changes in cell current

Improved Tank in Series Reactor Model for Tubular Solid Oxide Fuel Cell Stacks

Dynamic tank in series modeling of direct internal reforming SOFC

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