Artificial neural network based optimization for hydrogen purification performance of pressure swing adsorption-Reference-Cited by-同舟云学术

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Artificial neural network based optimization for hydrogen purification performance of pressure swing adsorption

Published:2019-02 Issue:11 Volume:44 Page:5334-5344
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Ye Feng,Ma Shuo,Tong Liang,Xiao Jinsheng^ORCID,Bénard Pierre,Chahine Richard

Funder

National Natural Science Foundation of China

Ministry of Education of China

Jianghan University

Wuhan Technical College of Communications

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference29 articles.

1. Hydrogen purification from refinery fuel gas by pressure swing adsorption;Malek;AIChE J,1998

2. A parametric study of layered bed PSA for hydrogen purification;Ribeiro;Chem Eng Sci,2008

3. Multiobjective optimization of a four-step adsorption process for postcombustion CO2 capture via finite volume simulation;Haghpanah;Ind Eng Chem Res,2013

4. MOF and UiO-67/MCM-41 adsorbents for pre-combustion CO2 capture by PSA: breakthrough experiments and process design;Casas;Separ Purif Technol,2013

5. Activated carbon for hydrogen purification by pressure swing adsorption: multi-component breakthrough curves and PSA performance;Lopes;Chem Eng Sci,2011

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