Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115688
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estateen_US
dc.contributorResearch Institute for Sustainable Urban Developmenten_US
dc.contributorResearch Institute for Smart Energyen_US
dc.creatorLi, Zen_US
dc.creatorWang, Cen_US
dc.creatorChen, Xen_US
dc.creatorZhu, Jen_US
dc.creatorZheng, Nen_US
dc.creatorZhang, Den_US
dc.creatorNi, Men_US
dc.date.accessioned2025-10-20T06:51:17Z-
dc.date.available2025-10-20T06:51:17Z-
dc.identifier.issn0960-1481en_US
dc.identifier.urihttp://hdl.handle.net/10397/115688-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectLevelized cost of hydrogenen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectProtonic ceramic electrolysis cellen_US
dc.subjectSensitivity analysisen_US
dc.subjectUncertainty analysisen_US
dc.titleA techno-economic analysis of protonic ceramic electrolysis cells (PCECs) for advancing the future of large-scale green hydrogen productionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume254en_US
dc.identifier.doi10.1016/j.renene.2025.123703en_US
dcterms.abstractProtonic ceramic electrolysis cells (PCECs) are efficient devices for green hydrogen generation. However, limited studies on system-level PCEC result in a lack of understanding of the practical and economic performance of PCEC systems. To fill this gap, a system model of PCEC is developed. The deep neural network model trained by a 2D numerical model is innovatively integrated into the system model, simultaneously achieving rapid PCEC stack performance prediction and computing costs saving. The impacts of system operating and cost parameters on the system performance are quantified. The levelized cost of hydrogen (LCOH) of PCEC system is calculated as 10.46 $/kg H2. Importantly, the analysis shows that reducing electricity cost is the most effective strategy to reduce LCOH, in addition to reducing the system's degradation. The optimal PCEC system operating conditions for maximizing the H2 production and minimizing the production cost are identified. Though the optimised LCOH reduces by 1 %, the effective current density is remarkably improved by 20 %. This study provides a holistic overview of PCEC performance at the system level, enabling a quantitative and comparative analysis of the economic viability of PCEC for hydrogen production. Recommendations on PCEC future development to promote the large-scale hydrogen production are presented.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationRenewable energy, 1 Dec. 2025, v. 254, 123703en_US
dcterms.isPartOfRenewable energyen_US
dcterms.issued2025-12-01-
dc.identifier.scopus2-s2.0-105007786013-
dc.identifier.eissn1879-0682en_US
dc.identifier.artn123703en_US
dc.description.validate202510 bcjzen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000244/2025-07-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextM. NI thanks the grant (Project Number: 15306723 and SRFS2324-5S02) from Research Grants Council, University Grants Committee, Hong Kong SAR.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-12-01en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-12-01
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