Predictive degradation modeling with optimized interconnectors for enhancing solid oxide electrolyzer cell durability in sustainable syngas production

dc.citation.epage13
dc.citation.issue2026
dc.citation.spage1
dc.citation.volume30
dc.contributor.authorAbrar Ahmad
dc.contributor.authorSerene Lock Sow Mun
dc.contributor.authorLim Lam Ghai
dc.contributor.authorIrene Lock Sow Mei
dc.contributor.authorGrazia Leonzio
dc.contributor.authorYiin Chung Loong
dc.contributor.authorChrisminder Dain
dc.contributor.departmentFaculty of Engineering
dc.date.accessioned2026-04-13T07:21:44Z
dc.date.issued2026-03-20
dc.description.abstractSolid oxide electrolyzer cells offer a promising solution for sustainable syngas production via high-temperature co-electrolysis of water and CO₂. However, their long-term performance is limited by structural degradation, including cathode sintering, electrolyte phase transitions, anode delamination, and interconnector oxidation, which degrade electrochemical stability and efficiency. These degradation effects are often simplified in existing modeling studies. To address this, a material-specific degradation model was developed in Aspen Custom Modeler to simulate SOEC behavior under varying conditions. The model incorporated nickel sintering, yttria-stabilized zirconia phase changes, and interconnector oxidation. Simulation results revealed that interconnectors degrade faster, reducing the triple-phase boundary length, critical for electrochemical activity. Applying a lanthanum strontium cobaltite coating to interconnectors reduced degradation by 40.34 %, enhancing SOEC durability. These findings underscore the potential of predictive modeling combined with advanced coatings to improve SOEC performance for sustainable syngas production.
dc.description.referencesUncontrolled Keywords : Solid oxide electrolyzer cell (SOEC), Co-electrolysis, Syngas production, Structure degradation, Antioxidant layer Modelling and simulation.
dc.description.statusPublished
dc.identifier.citationAbrar, A., Lock, S. M. S., Lim, L. G., Lock, S. M. I., Leonzio, G., Loong, Y. C., & Dain, C. (2026). Predictive degradation modeling with optimized interconnectors for enhancing solid oxide electrolyzer cell durability in sustainable syngas production. Results in Engineering, 30, 1–13. https://doi.org/10.1016/j.rineng.2026.110002
dc.identifier.doihttps://doi.org/10.1016/j.rineng.2026.110002
dc.identifier.emailclyiin@unimas.my
dc.identifier.issn2590-1230
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S259012302601039X?via%3Dihub
dc.identifier.urihttps://scholarhub.unimas.my/handle/123456789/355
dc.publisherElsevier B.V.
dc.relation.ispartofResults in Engineering
dc.titlePredictive degradation modeling with optimized interconnectors for enhancing solid oxide electrolyzer cell durability in sustainable syngas production
dc.typeArticles
dc.type.statusYes

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