Dr Victoria Kurushina v.kurushina@rgu.ac.uk
Research Fellow
Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell.
Kurushina, Victoria; Soman, Ajith; Rajendran, Vinooth; Prathuru, Anil; Hossain, Mamdud; Horri, Bahman Amini; Cai, Qiong; Faisal, Nadimul
Authors
Ajith Soman
Mr VINOOTH RAJENDRAN v.rajendran1@rgu.ac.uk
Research Student
Dr Anil Prathuru a.prathuru@rgu.ac.uk
Lecturer
Professor Mamdud Hossain m.hossain@rgu.ac.uk
Professor
Bahman Amini Horri
Qiong Cai
Professor Nadimul Faisal N.H.Faisal@rgu.ac.uk
Professor
Abstract
Developing electrolyser cells with enhanced hydrogen production and their scalable manufacturing can play an important role in enabling not only eco-friendly development but also cost-effective, reliable, and sustainable opportunities. Thermomechanical assessments of expected deformations at high temperature bandwidth for two types of materials, used as a cell metal support were performed. Revealed changes to geometry, especially, at fixed-fixed conditions provide a basis to estimate the overall cell stability, optimise the fluid dynamics component and electrochemical performance.
Citation
KURUSHINA, V., SOMAN, A., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., HORRI, B.A., CAI, Q. and FAISAL, N. 2023. Modelling, optimisation and analysis of tubular high temperature solid oxide steam electrolysis cell. Presented at the 2023 All-energy and dcarbonise conference, 10-11 May 2023, Glasgow, UK.
Presentation Conference Type | Poster |
---|---|
Conference Name | 2023 All-energy and dcarbonise conference |
Conference Location | Glasgow, UK |
Start Date | May 10, 2023 |
End Date | May 11, 2023 |
Deposit Date | May 16, 2023 |
Publicly Available Date | May 16, 2023 |
Keywords | Hydrogen; Net-zero; High-temperature solid oxide steam electrolysis (HT-SOSE); Nuclear power; Waste steam |
Public URL | https://rgu-repository.worktribe.com/output/1965805 |
Publisher URL | https://www.all-energy.co.uk/en-gb/conference/showfloor-theatres/session-details.3297.192382.academic-posters.html |
Files
KURUSHINA 2023 Modelling optimisation and analysis (POSTER)
(2.2 Mb)
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