Analytical fuel cell modeling

Standaert, F.; Hemmes, K.; Woudstra, N.

doi:10.1016/s0378-7753(96)02479-2

Cited by 70 publications

(35 citation statements)

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“…Later, a number of models appeared in the literature [26][27][28][29][30][31] for the simulation of SOFCs that were mainly based on proprietary codes. However, computational resources at the time did not allow researchers to couple the electrochemical models to the multidimensional transport phenomena simulation.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of mass and energy transport phenomena in solid oxide fuel cells

Arpino

Massarotti

2009

Energy

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Section: Introductionmentioning

confidence: 99%

Numerical simulation of mass and energy transport phenomena in solid oxide fuel cells

Arpino

Massarotti

2009

Energy

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“…In the industrial sized fuel cells, the difference in the temperature distributions can be up to hundreds of degrees at the surface causing several disadvantages and difficulties. For the DIR-MCFC, with both advantages and disadvantages, many modellings (Wolf and Wilemski, 1983;Standaert et al, 1996;He, 1998;Yoshiba et al, 1998;Bosio et al, 1999;Park et al, 2002;Heidebrecht and Sundmacher, 2003;Wee and Lee, 2005) have been presented for decades. However, some of them have not quantitatively and directly described the results in relation to the three reactions at each point within the cell and others have not presented the experimental data for their modelling.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the performance for the direct internal reforming molten carbonate fuel cell. Part I: distributions of temperature, energy transfer and current density

Wee

Lee

2006

Int. J. Energy Res.

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SUMMARYThis study examined the temperature distributions of the anode and cathode gases of the cell body as well as the current density distributions at each point of the direct internal reforming molten carbonate fuel cell (DIR-MCFC) using numerical modelling. The model was based on assumptions and experimental data from a 5 cm Â 5 cm sized unit cell operation. The results showed there was an approximately 138C temperature difference between the initial point (0, 0) and end point (1, 1) of the cell body and the temperature increased steadily along with the direction of the anode gas flow. The temperature distribution of the anode gases showed a similar trend to those of the cell body. The temperature of the anode gases was an average 118C lower than that of the cell body. The temperature distributions of cathode gases were relatively higher than those of the anode gases and the cell body. The temperature distributions at each point of the cell body, including the anode and cathode gases, could be explained by the different rates of the electrochemical, methane steam reforming and water-gas shift reactions at each point in the cell body. The current density distribution at the entrance of the cell was the highest at 290 mA cm À2, and decreased steadily to 150 mA cm À2 at the exit. These results were also confirmed by the amount of hydrogen reacted in the electrochemical reaction (referred to Part II). Finally, modelling simulations showed a non-uniform distribution of the temperature and current density throughout the DIR-MCFC were observed. In addition, it was confirmed that the distributions of the reaction rates and gas compositions at each point of the cell also showed a great deal of difference throughout the DIR-MCFC. The non-uniformity of these temperature distributions can lead to deterioration in the cell performance. These might provide the necessary information for solving these problems.

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“…Also the local current density cannot be assumed to vary linearly as can be seen clearly from Fig.71. So the first order approximation suggested by Standaert et al [41] is also not true. In the cathode the cathodic part of the current density from Butler Volmer equation…”

Section: Local Current Densitymentioning

confidence: 92%

“…This suggests that we cannot use a constant local current density along the whole length of the electrode i.e. the zero order approximation given by Standaert et al [41]. Also the local current density cannot be assumed to vary linearly as can be seen clearly from Fig.71.…”

Section: Local Current Densitymentioning

confidence: 95%

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Optimization of the Cathode Long-Term Stability in Molten Carbonate Fuel Cells: Experimental Study and Mathematical Modeling

Colonmer¹,

Ganesan²,

Subramanian³

et al. 2002

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This project focused on addressing the two main problems associated with state of art Molten Carbonate Fuel Cells, namely loss of cathode active material and stainless steel current collector deterioration due to corrosion. We followed a dua l approach where in the first case we developed novel materials to replace the cathode and current collector currently used in molten carbonate fuel cells. In the second case we improved the performance of conventional cathode and current collectors through surface modification. States of art NiO cathode in MCFC undergo dissolution in the cathode melt thereby limiting the lifetime of the cell. To prevent this we deposited cobalt using an electroless deposition process. We also coated perovskite The corrosion of the current collector in the cathode side was also studied. The corrosion characteristics of both SS304 and SS304 coated with Co-Ni alloy were studied. This study confirms that surface modification of SS304 leads to the formation of complex scales with better barrier properties and better electronic conductivity at 650 o C.A three phase homogeneous model was developed to simulate the performance of the molten carbonate fuel cell cathode and the complete fuel cell. The homogeneous model is based on volume averaging of different variables in the three phases over a small volume element. This approach can be used to model porous electrodes as it represents the real system much better than the conventional agglomerate model. Using the homogeneous model the polarization characteristics of the MCFC cathode and fuel cell were studied under different operating conditions. Both the cathode and the full cell model give good fits to the experimental data.

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Analytical fuel cell modeling

Cited by 70 publications

References 1 publication

Numerical simulation of mass and energy transport phenomena in solid oxide fuel cells

Numerical simulation of mass and energy transport phenomena in solid oxide fuel cells

Simulation of the performance for the direct internal reforming molten carbonate fuel cell. Part I: distributions of temperature, energy transfer and current density

Optimization of the Cathode Long-Term Stability in Molten Carbonate Fuel Cells: Experimental Study and Mathematical Modeling

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