Performance optimisation of solid oxide electrolyser cell (SOEC) using response surface method (RSM) for thermal gradient reduction.

Hasbi, Syafawati; Amber, Ityona; Hossain, Mamdud; Saharudin, Mohd Shahneel

Abstract

The Solid Oxide Electrolyser Cell (SOEC) offers high-efficiency hydrogen production due to favourable thermodynamics and reaction kinetics at elevated temperatures. However, high operating temperatures increase energy consumption and thermal gradients, leading to material degradation and reduced durability. This study optimises SOEC operating conditions to minimise thermal gradients and enhance performance using numerical simulations and Response Surface Methodology (RSM). Key parameters examined include voltage (1.1–1.5 V), temperature (1073–1273 K), steam mass fraction (0.3–0.9), flow configurations, porosity, and charge transfer coefficients. Results show increasing voltage from 1.1 to 1.5 V raised current density from 0.75 A/cm² to 2.5 A/cm², while thermal gradients increased up to 15 K at higher temperatures. Counterflow configurations caused mid-cell hotspots, whereas parallel flow produced thermal gradient near the outlet. RSM optimisation identified optimal conditions of 1073, 1.5 V, and 0.9 steam mass fraction, reducing hotspot temperatures to 1086 K with minimal deviation. These findings support improved SOEC thermal management and hydrogen production efficiency.

Citation

HASBI, S., AMBER, I., HOSSAIN, M. and SAHARUDIN, M.S. 2025. Performance optimisation of solid oxide electrolyser cell (SOEC) using response surface method (RSM) for thermal gradient reduction. International journal of sustainable energy [online], 44(1), article number 2482837. Available from: https://doi.org/10.1080/14786451.2025.2482837

• Journal Article Type: Article
• Acceptance Date: Mar 13, 2025
• Online Publication Date: Mar 26, 2025
• Publication Date: Dec 31, 2025
• Deposit Date: Mar 28, 2025
• Publicly Available Date: Mar 28, 2025
• Journal: International journal of sustainable energy
• Print ISSN: 1478-6451
• Electronic ISSN: 1478-646X
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 44
• Issue: 1
• Article Number: 2482837
• DOI: https://doi.org/10.1080/14786451.2025.2482837
• Keywords: Solid oxide electrolyser cell; Response surface methods; Green hydrogen production; Computational fluid dynamics; Thermal gradient optimisation
• Public URL: https://rgu-repository.worktribe.com/output/2755545