Publication: Modeling and optimization of proton-conducting solid oxide electrolysis cell: Conversion of CO2 into value-added products
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Issued Date
2016
Resource Type
File Type
application/pdf
ISSN
3787753
Other identifier(s)
2-s2.0-84988468494
Rights Holder(s)
Scopus
Bibliographic Citation
Journal of Power Sources. Vol 331, (2016), p.515-526
Suggested Citation
Namwong L., Authayanun S., Saebea D., Patcharavorachot Y., Arpornwichanop A. Modeling and optimization of proton-conducting solid oxide electrolysis cell: Conversion of CO2 into value-added products. Journal of Power Sources. Vol 331, (2016), p.515-526. doi:10.1016/j.jpowsour.2016.09.042 Retrieved from: https://hdl.handle.net/20.500.14740/5043
Abstract
Proton-conducting solid oxide electrolysis cells (SOEC-H+) are a promising technology that can utilize carbon dioxide to produce syngas. In this work, a detailed electrochemical model was developed to predict the behavior of SOEC-H+ and to prove the assumption that the syngas is produced through a reversible water gas-shift (RWGS) reaction. The simulation results obtained from the model, which took into account all of the cell voltage losses (i.e., ohmic, activation, and concentration losses), were validated using experimental data to evaluate the unknown parameters. The developed model was employed to examine the structural and operational parameters. It is found that the cathode-supported SOEC-H+ is the best configuration because it requires the lowest cell potential. SOEC-H+ operated favorably at high temperatures and low pressures. Furthermore, the simulation results revealed that the optimal S/C molar ratio for syngas production, which can be used for methanol synthesis, is approximately 3.9 (at a constant temperature and pressure). The SOEC-H+ was optimized using a response surface methodology, which was used to determine the optimal operating conditions to minimize the cell potential and maximize the carbon dioxide flow rate. © 2016 Elsevier B.V.
Subject(s)
Carbon dioxide
Cells
Cytology
Electrolysis
Electrolytic cells
Optimization
Regenerative fuel cells
Synthesis gas
Synthesis gas manufacture
Water gas shift
Electrochemical modeling
Electrolysis cell
Modeling and optimization
Operational parameters
Optimal operating conditions
Proton conducting solids
Response surface methodology
Syn-gas
Solid oxide fuel cells (SOFC)
Cells
Cytology
Electrolysis
Electrolytic cells
Optimization
Regenerative fuel cells
Synthesis gas
Synthesis gas manufacture
Water gas shift
Electrochemical modeling
Electrolysis cell
Modeling and optimization
Operational parameters
Optimal operating conditions
Proton conducting solids
Response surface methodology
Syn-gas
Solid oxide fuel cells (SOFC)