Prediction of Solid Oxide Fuel Cell Power System Performance Through Multi-Level Modeling

1995 ◽  
Vol 117 (4) ◽  
pp. 307-317 ◽  
Author(s):  
N. F. Bessette ◽  
W. J. Wepfer

This paper presents an integrated multi-level model of a solid oxide fuel cell system, which accounts for the effects of concentration, activation, and ohmic polarizations on single-cell performance, as well as the cell-to-cell interactions in a cell stack module. Furthermore, this model extends the work of Lu and Mahoney (1988) and Harvey and Richter (1994) by including the performance of a cell stack operating with a fuel reformer, heat exchangers, and a steam generator over a range of design parameters. This paper also demonstrates the procedure by which a single-cell model is scaled to a system model.

Author(s):  
Sanjeev Raj ◽  
Sakthi Gnanasundaram ◽  
Balaji Krishnamurthy

A mathematical model is developed to study the performance of a direct carbon solid oxide fuel cell system (DC-SOFC). Simulation results indicate that in the anode supported configuration, anode design parameters (porosity, tortuosity and anode thickness) play very important role in the performance of DC-SOFC, presented as the polarization curve. The effect of Ag content in anode electrode is found to play a significant role in the performance of the DC-SOFC. The effect of operating parameters, namely pressure and temperature, on the overpotentials (concentration, activation and ohmic) are studied. The concentration profiles of gases (CO2 and CO) as a function of operating current density across the anode electrode is studied. Model results are compared with experimental data and found to compare well.


2015 ◽  
Vol 13 (7) ◽  
pp. 730-735
Author(s):  
Wen-Tang Hong ◽  
Ya-Ling Wu ◽  
Tzu-Hsiang Yen ◽  
Cheng-Nan Huang ◽  
Hsueh-I Tan ◽  
...  

2015 ◽  
Vol 81 ◽  
pp. 400-410 ◽  
Author(s):  
Junxi Jia ◽  
Abuliti Abudula ◽  
Liming Wei ◽  
Baozhi Sun ◽  
Yue Shi

2021 ◽  
Author(s):  
L. Mantelli ◽  
M. L. Ferrari ◽  
A. Traverso

Abstract Pressurized solid oxide fuel cell (SOFC) systems are one of the most promising technologies to achieve high energy conversion efficiencies and reduce pollutant emissions. The most common solution for pressurization is the integration with a micro gas turbine, a device capable of exploiting the residual energy of the exhaust gas to compress the fuel cell air intake and, at the same time, generating additional electrical power. The focus of this study is on an alternative layout, based on an automotive turbocharger, which has been more recently considered by the research community to improve cost effectiveness at small size (< 100 kW), despite reducing slightly the top achievable performance. Such turbocharged SOFC system poses two main challenges. On one side, the absence of an electrical generator does not allow the direct control of the rotational speed, which is determined by the power balance between turbine and compressor. On the other side, the presence of a large volume between compressor and turbine, due to the fuel cell stack, alters the dynamic behavior of the turbocharger during transients, increasing the risk of compressor surge. The pressure oscillations associated with such event are particularly detrimental for the system, because they could easily damage the materials of the fuel cells. The aim of this paper is to investigate different techniques to drive the operative point of the compressor far from the surge condition when needed, reducing the risks related to transients and increasing its reliability. By means of a system dynamic model, developed using the TRANSEO simulation tool by TPG, the effect of different anti-surge solutions is simulated: (i) intake air conditioning, (ii) water spray at compressor inlet, (iii) air bleed and recirculation, and (iv) installation of an ejector at the compressor intake. The pressurized fuel cell system is simulated with two different control strategies, i.e. constant fuel mass flow and constant turbine inlet temperature. Different solutions are evaluated based on surge margin behavior, both in the short and long terms, but also monitoring other relevant physical quantities of the system, such as compressor pressure ratio and turbocharger rotational speed.


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