A Rigorous Mechanism-Based Kinetic Modeling Method for Optimization of Solid Oxide Fuel Cell
Year: 2024
Type: article
Abstract: Solid oxide fuel cell (SOFC) has gained increasing attention as it generates electricity with higher energy conversion efficiency. Current studies are focused on the rigorous mechanism development at an experiment scale or thermodynamic modeling for SOFC on the industrial scale. Given the practical application concerns, it is imperative to integrate the reaction mechanism with the large-scale SOFC system optimization. Towards this goal, this paper proposes a novel mechanism-based kinetic modeling method for optimization of solid oxide fuel cell, which includes aspects of electrochemistry, the diffusion phenomena and microscale kinetic modeling. Two plug flow reactors are adopted to simulate the cathode and anode of the component stack respectively. The reaction distance is differential, where the electrochemical process and internal methane reforming process in anode are coupled through hydrogen allocation, and the oxygen in cathode is optimized according to the microscale kinetic modeling in each differential unit. The accuracy of the model is verified by comparison with the results of simulation experiments in the literature. Sensitivity analysis is performed to recognize the key parameters and explore their effects on the stack performance improvements. The major contributions derived from this work is of significant aid in providing guidelines for future development of kinetic modeling of other fuel cells.
Authors: Yu Zhuang, Tong Jin, Mengting Song, Siwen Gu, Jian Du, Jianguang Yuan
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
Awards: G1759193240, G2440535391, G6727602347
OpenAlex ID: W4401733976