A Hybrid Experimental Model of a Solid Oxide Fuel Cell Stack

2008 ◽  
Vol 6 (1) ◽  
Author(s):  
Xiao-Juan Wu ◽  
Xin-Jian Zhu ◽  
Guang-Yi Cao ◽  
Heng-Yong Tu ◽  
Wan-Qi Hu
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Experimental Model ◽  
Current Density ◽  
Rbf Neural Network ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Incremental Model ◽  
Different Temperatures

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.

A Practical Method for Modeling of Solid Oxide Fuel Cell Stack Degradation

2009 ◽  
Author(s):  
Wei Dong ◽  
Michael Pastula
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Current Density ◽  
Thermal Cycle ◽  
Degradation Rate ◽  
Operating Temperature ◽  
Practical Method ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack

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.

Three-Dimensional Simulation of Planar Solid Oxide Fuel Cell Stack

2008 ◽  
Vol 128 (2) ◽  
pp. 459-466 ◽  
Author(s):  
Yoshitaka Inui ◽  
Tadashi Tanaka ◽  
Tomoyoshi Kanno
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Three Dimensional ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Dimensional Simulation

scholarly journals Experimental real-time optimization of a solid oxide fuel cell stack via constraint adaptation

Energy ◽  
2012 ◽  
Vol 39 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Gene A. Bunin ◽  
Zacharie Wuillemin ◽  
Grégory François ◽  
Arata Nakajo ◽  
Leonidas Tsikonis ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Time Optimization ◽  
Real Time Optimization

Hybrid Approach to Remaining Useful Life Prediction of Solid Oxide Fuel Cell Stack

2017 ◽  
Vol 78 (1) ◽  
pp. 2251-2264 ◽  
Author(s):  
Boštjan Dolenc ◽  
Pavle Boškoski ◽  
Antti Pohjoranta ◽  
Matti Noponen ◽  
Đani Juričić
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Life Prediction ◽  
Hybrid Approach ◽  
Remaining Useful Life ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Useful Life

A novel cooler for the thermal management of solid oxide fuel cell stack

2021 ◽  
Vol 48 ◽  
pp. 101564
Author(s):  
Keqing Zheng ◽  
Ya Sun ◽  
Shuanglin Shen ◽  
Li Li ◽  
Shaorong Wang
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Thermal Management ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack

Assessment on hermetic property and mechanical compatibility of various groove-gasket sealing designs for solid oxide fuel cell stack

2012 ◽  
Vol 213 ◽  
pp. 186-202 ◽  
Author(s):  
N. Punbusayakul ◽  
K. Boonsiri ◽  
S. Charojrochkul ◽  
B. Fungtammasan ◽  
J. Charoensuk
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Mechanical Compatibility
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