Modelling of solid oxide electrolyser cell using extreme learning machine-Reference-Cited by-同舟云学术

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Modelling of solid oxide electrolyser cell using extreme learning machine

Published:2017-10 Issue: Volume:251 Page:137-144
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Zhang Caizhi,Liu Qinglin,Wu Qi,Zheng Yifeng,Zhou Juan,Tu Zhengkai,Chan Siew Hwa

Funder

Chongqing Research Program of Foundation and Advanced Technology

Research Projects of the State Key Laboratory of Mechanical Transmission

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference59 articles.

1. Hydrogen production through steam electrolysis: Model-based steady state performance of a cathode-supported intermediate temperature solid oxide electrolysis cell;Udagawa;J. Power Sources,2007

2. Computational fluid dynamics modeling of a solid oxide electrolyzer cell for hydrogen production;Ni;Int. J. Hydrogen Energy,2009

3. Progress in high-temperature electrolysis for hydrogen production using planar SOFC technology;Herring;Int. J. Hydrogen Energy,2007

4. Study of Activation Effect of Anodic Current on La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3- δ Air Electrode in Solid Oxide Electrolyzer Cell;Pan;Electrochim. Acta,2016

5. Electrochemical reduction of CO2 in solid oxide electrolysis cells;Zhan;J. Power Sources,2010

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