Hydrogen Production by Fluidized Bed Reactor

A special issue of J (ISSN 2571-8800). This special issue belongs to the section "Engineering".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6878

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Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, CA V6T 1Z4, Canada
Interests: sustainable engineering and sustainable development; biofuels and biorefineries
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AECOM, Los Angeles, CA 90067, USA
Interests: energy optimization; gas compression; storage; pipelines & Facilities

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Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Interests: heat and mass transfer; reactors; carbon dioxide capture

Special Issue Information

Dear Colleagues,

This special issue is about hydrogen production in fluidized bed reactors both with and without hydrogen permselvitive membranes for hydrogen removal to increase production of hydrogen at relatively lower temperatures through “breaking” the thermodynamic equilibrium barrier. The feedstock can be anything from methane to higher suitable hydrocarbons as well as biomass gasification. The reactions in fluidized beds is much better than the classical indistrial fixed bed reactors where the effectiveness factors are very small, as low as 0.001. The reactions are highly endothermic and all types of heating techniques including partial oxidation and all other means suggested by the authors are welcomed. All types of fluidized beds are welcomed, e.g.: bubbling , fast fluidization, looping reformers, etc. Both mathematical modeling, experimental work , industrial data with discussion and verification of mathemtical models using experimental or induustrial results are welcomed. Optimization of design and operating condition are requested from the authors as well as dynamic behaviour and different types of control, e.g.: classical feedback , feedforward and cascade analogue control as well as optimal control and modern digital control. Experimental and mathematical modelling results and verification of models against experimental and industrial results are recommended for this special issue. Research papers and review papers are welcomed.

Prof. Dr. Said Elnashaie
Dr. Hatem Harraz
Dr. Arian Ebneyamini
Guest Editors

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Keywords

  • Hydrogen Production
  • Fluidized Bed Catalytic Reactors
  • Reforming of Hydrocabons
  • Perm-selective Membranes
  • Ni and other Catalysts
  • Bubbling and Fast Fluidization
  • Catalyst Fouling and Regeneration
  • Reversible Reactions
  • Rates of Reactions
  • Equilibrium Constanst
  • biomass gasification

Published Papers (1 paper)

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Review

22 pages, 2804 KiB  
Review
Hydrogen Production by Fluidized Bed Reactors: A Quantitative Perspective Using the Supervised Machine Learning Approach
by Zheng Lian, Yixiao Wang, Xiyue Zhang, Abubakar Yusuf, Lord Famiyeh, David Murindababisha, Huan Jin, Yiyang Liu, Jun He, Yunshan Wang, Gang Yang and Yong Sun
J 2021, 4(3), 266-287; https://doi.org/10.3390/j4030022 - 7 Jul 2021
Cited by 4 | Viewed by 6160
Abstract
The current hydrogen generation technologies, especially biomass gasification using fluidized bed reactors (FBRs), were rigorously reviewed. There are involute operational parameters in a fluidized bed gasifier that determine the anticipated outcomes for hydrogen production purposes. However, limited reviews are present that link these [...] Read more.
The current hydrogen generation technologies, especially biomass gasification using fluidized bed reactors (FBRs), were rigorously reviewed. There are involute operational parameters in a fluidized bed gasifier that determine the anticipated outcomes for hydrogen production purposes. However, limited reviews are present that link these parametric conditions with the corresponding performances based on experimental data collection. Using the constructed artificial neural networks (ANNs) as the supervised machine learning algorithm for data training, the operational parameters from 52 literature reports were utilized to perform both the qualitative and quantitative assessments of the performance, such as the hydrogen yield (HY), hydrogen content (HC) and carbon conversion efficiency (CCE). Seven types of operational parameters, including the steam-to-biomass ratio (SBR), equivalent ratio (ER), temperature, particle size of the feedstock, residence time, lower heating value (LHV) and carbon content (CC), were closely investigated. Six binary parameters have been identified to be statistically significant to the performance parameters (hydrogen yield (HY)), hydrogen content (HC) and carbon conversion efficiency (CCE) by analysis of variance (ANOVA). The optimal operational conditions derived from the machine leaning were recommended according to the needs of the outcomes. This review may provide helpful insights for researchers to comprehensively consider the operational conditions in order to achieve high hydrogen production using fluidized bed reactors during biomass gasification. Full article
(This article belongs to the Special Issue Hydrogen Production by Fluidized Bed Reactor)
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