Enhancement of hydrogen production in a novel fluidized-bed membrane reactor for naphtha reforming

2009 ◽  
Vol 34 (5) ◽  
pp. 2235-2251 ◽  
Author(s):  
M.R. Rahimpour
2010 ◽  
Vol 35 (12) ◽  
pp. 6276-6290 ◽  
Author(s):  
Mohammad A. Rakib ◽  
John R. Grace ◽  
C. Jim Lim ◽  
Said S.E.H. Elnashaie ◽  
Bahman Ghiasi

2011 ◽  
Vol 36 (17) ◽  
pp. 10727-10736 ◽  
Author(s):  
Andrés Mahecha-Botero ◽  
Tony Boyd ◽  
Ali Gulamhusein ◽  
John R. Grace ◽  
C. Jim Lim ◽  
...  

2012 ◽  
Vol 608-609 ◽  
pp. 1467-1471
Author(s):  
Jian Wen Ye ◽  
Dong Lai Xie ◽  
Zhenhua Yang ◽  
Zhiyu Cao

Hydrogen is an important chemical commodity. Fluidized bed oxygen permeable membrane reactor is a novel technology for hydrogen production from natural gas reforming. An Aspen model is built for this novel reactor. Influences of reaction pressure, oxygen to carbon ratio, and steam to carbon ratio on the hydrogen concentration in syn-gas, hydrogen yield, and reaction temperature and methane conversion are studied. The results are compared with the ordinary fluidized bed reactor. It shows that the fluidized bed oxygen permeable membrane reactor has a higher methane conversion and a hydrogen yield and a higher hydrogen concentration in the syngas, due to its in-situ oxygen separation from air.


2011 ◽  
Vol 50 (6) ◽  
pp. 3110-3129 ◽  
Author(s):  
Mohammad A. Rakib ◽  
John R. Grace ◽  
C. Jim Lim ◽  
Said S.E.H. Elnashaie

2014 ◽  
Vol 53 (14) ◽  
pp. 6230-6242 ◽  
Author(s):  
Yumin Chen ◽  
Andrés Mahecha-Botero ◽  
C. Jim Lim ◽  
John R. Grace ◽  
Junying Zhang ◽  
...  

Author(s):  
S. Foresti ◽  
G. Di Marcoberardino ◽  
G. Manzolini ◽  
N. De Nooijer ◽  
F. Gallucci ◽  
...  

J ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 266-287
Author(s):  
Zheng Lian ◽  
Yixiao Wang ◽  
Xiyue Zhang ◽  
Abubakar Yusuf ◽  
Lord Famiyeh ◽  
...  

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.


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