Multi-objective optimization of breakthrough times for hydrogen purification through layered bed pressure swing adsorption based on genetic algorithm and artificial neural network model-Reference-Cited by-同舟云学术

Multi-objective optimization of breakthrough times for hydrogen purification through layered bed pressure swing adsorption based on genetic algorithm and artificial neural network model

Published:2024-01 Issue: Volume:52 Page:390-405
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Li Chenglong,Yang Tianqi,Luo Hao,Tong Liang,Bénard Pierre,Chahine Richard^ORCID,Xiao Jinsheng^ORCID

Publisher

Elsevier BV

Subject

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

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4. Optical and structural characterization of Bi2FexNbO7 nanoparticles for environmental applications;Araujo Scharnberg;Emerging Science Journal,2020

5. Parallel and series multi-bed pressure swing adsorption processes for H2 recovery from a lean hydrogen mixture;Park;Chem Eng J,2021

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