scholarly journals Insight into the Reaction Mechanism of (La0.58Sr0.40)(Co0.20Fe0.80)O3-δCathode with Volatile Chromium Species at High Current Density in a Solid Oxide Fuel Cell Stack

2017 ◽  
Vol 164 (10) ◽  
pp. F3028-F3034 ◽  
Author(s):  
Alexander Beez ◽  
Xiaoyan Yin ◽  
Norbert H. Menzler ◽  
Robert Spatschek ◽  
Martin Bram
2020 ◽  
Vol 88 (4) ◽  
pp. 290-294
Author(s):  
Yuchao LI ◽  
Daan CUI ◽  
Huiying QI ◽  
Zhe ZHAO ◽  
Yibo GUO ◽  
...  

Author(s):  
Pei-Wen Li ◽  
Laura Schaefer ◽  
Minking K. Chyu

The details of the heat/mass transfer in a planar type solid oxide fuel cell that controls the energy conversion performance are studied by employing a three-dimensional numerical computation for the fields of velocity, gas mass fractions and temperature. The SOFC under investigation is a unit working in a SOFC stack. It has the tri-layer of anode-electrolyte-cathode and interconnects having multiple channels for fuel and air. Two designs of the tri-layer, anode-supported and electrolyte-supported, are studied. Pre-reformed fuel gas with components of H2, H2O, CO, CO2 and CH4 is arranged in cross-flow direction with airflow. Further reforming and shift reaction in fuel channels were considered at chemical equilibrium. It was found that the consumption and production of gas species are different in the different channels. High current density was located in the upstream area of fuel channels. The operation conditions of current density affected the temperature level significantly.


Author(s):  
Wei Dong ◽  
Michael Pastula

In this paper, the influences of area specific resistance (ASR), current density, temperature and thermal cycle (TC) on solid oxide fuel cell (SOFC) degradation were analyzed and quantified. The cell degradation equation and its influence equations with ASR, current density, temperature and thermal cycles were derived. Based on these equations, several ideal cases were studied. Meanwhile, a practical method considering three types of SOFC stack degradation behaviors based on empirical data were employed. This was done using an inhouse SOFC dynamic-link library as an input into a computational fluid dynamics (CFD) tool for modeling voltage decay and end of life (EOL) performance. It allows for a detailed 3-D study of a solid oxide fuel cell stack. It is revealed that the operating current density and cell ASR are two factors directly determining the degradation rate of individual cells. In addition, the operating temperature has a significant influence on the lumped ASR, thus also influencing cell degradation rate. The influence of contact ASR on cell degradation can be superior to that of temperature in that a contact resistance increment due to a thermal cycle, or other event, can cause a step change with a cell temperature increase and cell voltage decrease. It is suggested to run a stack below a certain critical peak internal temperature is favored, and if the contact loss is around 0.1 Ωcm2, one may offset the cell degradation by increasing operating temperature about 30°C. However, if the stack is operated above the cell critical peak temperature, it may cause an ineluctable increase in degradation.


Author(s):  
Xiao-Juan Wu ◽  
Xin-Jian Zhu ◽  
Guang-Yi Cao ◽  
Heng-Yong Tu ◽  
Wan-Qi Hu

A multivariable hybrid experimental model of a solid oxide fuel cell stack is developed in this paper. The model consists of an improved radial basis function (RBF) neural network model and a pressure-incremental model. The improved RBF model is built to predict the stack voltage with different temperatures and current density. Likewise, the pressure-incremental model is constructed to predict the stack voltage under various hydrogen, oxygen, and water partial pressures. We combine the two models together and make a powerful hybrid multivariable model that can predict the voltage under any current density, temperature, hydrogen, oxygen, and water partial pressure. The validity and accuracy of modeling are tested by simulations, and the simulation results show that it is feasible to build the hybrid multivariable experimental model.


2008 ◽  
Vol 128 (2) ◽  
pp. 459-466 ◽  
Author(s):  
Yoshitaka Inui ◽  
Tadashi Tanaka ◽  
Tomoyoshi Kanno

Energy ◽  
2012 ◽  
Vol 39 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Gene A. Bunin ◽  
Zacharie Wuillemin ◽  
Grégory François ◽  
Arata Nakajo ◽  
Leonidas Tsikonis ◽  
...  

2017 ◽  
Vol 78 (1) ◽  
pp. 2251-2264 ◽  
Author(s):  
Boštjan Dolenc ◽  
Pavle Boškoski ◽  
Antti Pohjoranta ◽  
Matti Noponen ◽  
Đani Juričić

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