scholarly journals Towards an advanced reactor network modeling framework for fluidized bed biomass gasification: Incorporating information from detailed CFD simulations

2016 ◽  
Vol 303 ◽  
pp. 409-424 ◽  
Author(s):  
Addison K. Stark ◽  
Christos Altantzis ◽  
Richard B. Bates ◽  
Ahmed F. Ghoniem
Keyword(s):  
Fluidized Bed ◽  
Network Modeling ◽  
Biomass Gasification ◽  
Modeling Framework ◽  
Cfd Simulations ◽  
Reactor Network

Prediction and Validation of Major Gas and Tar Species from a Reactor Network Model of Air-Blown Fluidized Bed Biomass Gasification

2015 ◽  
Vol 29 (4) ◽  
pp. 2437-2452 ◽  
Author(s):  
Addison K. Stark ◽  
Richard B. Bates ◽  
Zhenlong Zhao ◽  
Ahmed F. Ghoniem
Keyword(s):  
Fluidized Bed ◽  
Network Model ◽  
Biomass Gasification ◽  
Reactor Network

Kinetic modeling of biomass gasification and tar formation in a fluidized bed gasifier using equivalent reactor network (ERN)

Fuel ◽  
2020 ◽  
Vol 280 ◽  
pp. 118582
Author(s):  
Bijoy Das ◽  
Atmadeep Bhattacharya ◽  
Amitava Datta
Keyword(s):  
Fluidized Bed ◽  
Kinetic Modeling ◽  
Biomass Gasification ◽  
Fluidized Bed Gasifier ◽  
Reactor Network

scholarly journals Hydrogen Production by Fluidized Bed Reactors: A Quantitative Perspective Using the Supervised Machine Learning Approach

J ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 266-287
Author(s):  
Zheng Lian ◽  
Yixiao Wang ◽  
Xiyue Zhang ◽  
Abubakar Yusuf ◽  
Lord Famiyeh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hydrogen Production ◽  
Fluidized Bed ◽  
Biomass Gasification ◽  
Supervised Machine Learning ◽  
Fluidized Bed Reactors ◽  
Hydrogen Yield ◽  
Carbon Conversion ◽  
Operational Parameters ◽  
Operational Conditions

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.

Simulation of biomass gasification in bubbling fluidized bed reactor using aspen plus®

2021 ◽  
Vol 235 ◽  
pp. 113981
Author(s):  
M. Puig-Gamero ◽  
D.T. Pio ◽  
L.A.C. Tarelho ◽  
P. Sánchez ◽  
L. Sanchez-Silva
Keyword(s):  
Fluidized Bed ◽  
Aspen Plus ◽  
Fluidized Bed Reactor ◽  
Biomass Gasification ◽  
Bubbling Fluidized Bed

Sewage sludge ashes as a primary catalyst for the abatement of tar in biomass gasification: Bubbling versus spouted‐fluidized bed configuration

2021 ◽  
Author(s):  
Giovanna Ruoppolo ◽  
Francesco Miccio ◽  
Michele Miccio ◽  
Paola Brachi ◽  
Riccardo Chirone
Keyword(s):  
Sewage Sludge ◽  
Fluidized Bed ◽  
Biomass Gasification

scholarly journals Tar abatement for clean syngas production during biomass gasification in a dual fluidized bed

2016 ◽  
Vol 152 ◽  
pp. 116-123 ◽  
Author(s):  
L.F. de Diego ◽  
F. García-Labiano ◽  
P. Gayán ◽  
A. Abad ◽  
T. Mendiara ◽  
...  
Keyword(s):  
Fluidized Bed ◽  
Biomass Gasification ◽  
Syngas Production ◽  
Dual Fluidized Bed

Particle behaviours of biomass gasification in a bubbling fluidized bed

2021 ◽  
pp. 131847
Author(s):  
Dali Kong ◽  
Kun Luo ◽  
Shuai Wang ◽  
Jiahui Yu ◽  
Jianren Fan
Keyword(s):  
Fluidized Bed ◽  
Biomass Gasification ◽  
Bubbling Fluidized Bed
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