UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Inhomogeneity influence on the maximum current density of an SOEC stack tower: A circuit-based perspective
Li, Peiyang1; Chi, Yingtian1; Lin, Jin1,2; Mu, Shujun3; Song, Yonghua4
2024-12-01
Source PublicationApplied Energy
ISSN0306-2619
Volume375Pages:124013
Abstract

A solid oxide electrolysis cell (SOEC) stack tower formed by piling several stacks is a general approach to scaling up SOEC due to its simplicity and compactness. Enhanced fluid and thermal inhomogeneity are the main factors limiting the stack tower performance when increasing serial cell number and single-cell area. Multiphysics models widely used in stack-level research can accurately simulate stack tower inhomogeneity. However, their complex forms and high computational costs hinder investigating the impacts of various operating and geometrical parameters, such as current density, serial cell number, and single-cell area. To fill the gap, this study proposes a coupled fluid-thermal-electric equivalent circuit model of an SOEC stack tower, which reduces the computational cost by more than three orders of magnitude with an error of less than 0.8% compared with the 3D multiphysics model. With this model, explicit expressions for inhomogeneity indices and corresponding maximum current density are derived, which quantify the relationship between the maximum current density and the size of a stack tower. A 21.7% and a 13.9% reduction in maximum current density are observed when the serial cell number is increased from 30 to 150, and the single-cell area is reduced from 68 cm2 to 544 cm2, respectively. Moreover, the optimal scale-up path to improve the economy shows that the serial cell number should be preferentially increased when it is lower than 80, after which the single-cell area should be enlarged. However, even if following the optimal path, scaling up the total cell area from 5000 cm2 to 25000 cm2 reduces the maximum current density from 0.75 A⋅cm-2 to 0.62 A⋅cm-2, indicating that the contradiction between the maximum current density and the size of a stack tower is inevitable.

KeywordEquivalent Circuit Model Inhomogeneity Maximum Current Density Solid Oxide Electrolysis Cell Stack Tower
DOI10.1016/j.apenergy.2024.124013
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Chemical
WOS IDWOS:001294575800001
PublisherELSEVIER SCI LTD, 125 London Wall, London EC2Y 5AS, ENGLAND
Scopus ID2-s2.0-85200888950
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorChi, Yingtian
Affiliation1.State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing, 100087, China
2.Tsinghua-Sichuan Energy Internet Research Institute, Chengdu, 610213, China
3.National Institute of Clean-and-Low-Carbon Energy, NICE, Future Science and Technology City, Beijing, Changping District, 102211, China
4.Department of Electrical and Computer Engineering, University of Macau, 999078, China
Recommended Citation
GB/T 7714
Li, Peiyang,Chi, Yingtian,Lin, Jin,et al. Inhomogeneity influence on the maximum current density of an SOEC stack tower: A circuit-based perspective[J]. Applied Energy, 2024, 375, 124013.
APA Li, Peiyang., Chi, Yingtian., Lin, Jin., Mu, Shujun., & Song, Yonghua (2024). Inhomogeneity influence on the maximum current density of an SOEC stack tower: A circuit-based perspective. Applied Energy, 375, 124013.
MLA Li, Peiyang,et al."Inhomogeneity influence on the maximum current density of an SOEC stack tower: A circuit-based perspective".Applied Energy 375(2024):124013.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Peiyang]'s Articles
[Chi, Yingtian]'s Articles
[Lin, Jin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Peiyang]'s Articles
[Chi, Yingtian]'s Articles
[Lin, Jin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Peiyang]'s Articles
[Chi, Yingtian]'s Articles
[Lin, Jin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.