A Novel Biomass Gasifier for Producing Tar-Free and Hydrogen-Rich Syngas

2010 ◽  
Vol 105-106 ◽  
pp. 709-712 ◽  
Author(s):  
Zhi Guo Tang ◽  
P.Y. Ma ◽  
J.P. Cheng ◽  
Y.L. Li ◽  
Q.Z. Lin

Hydrogen from biomass gasification is reviewed as one of the promising clean energies approaches in the future for fuel cell. However, the syngas from biomass gasification usually contains a certain amount of tar, which could not only decrease the efficiency of gasification process and hydrogen production, but also condense as a dense mixture and impose a series of serious problems. So “Excess Enthalpy Gasification (EEG)” is put forward and applied into biomass gasification and a novel biomass gasifier is presented for the purpose of tar-free and hydrogen-rich syngas in this work. The structure characteristic of the gasifier and tar conversion characteristic are analyzed detailedly to prove the feasibility and excellence performance for producing tar-free and hydrogen-rich syngas from biomass gasification.

2021 ◽  
Vol 36 (1) ◽  
pp. 42-52
Author(s):  
F. N Osuolale ◽  
K. A. Babatunde ◽  
O.O Agbede ◽  
A. F Olawuni ◽  
A.J Fatukasi ◽  
...  

Hydrogen has the potential to be a clean and sustainable alternative to fossil fuel especially if it is produced from renewable sources such as biomass. Gasification is the thermochemical conversion of biomass to a mixture of gases including hydrogen. The percentage yield of each constituent of the mixture is a function of some factors. This article highlights various parameters such as operating conditions; gasifier type; biomass type and composition; and gasification agents that influence the yield of hydrogen in the product gas. Economic evaluation of hydrogen from different sources was also presented. The hydrogen production from gasification process appears to be the most economic process amongst other hydrogen production processes considered. The process has the potential to be developed as an alternative to the conventional hydrogen production process.


2017 ◽  
Vol 12 (7) ◽  
pp. 659-664 ◽  
Author(s):  
De-Xun Li ◽  
Jia-Bao Liu ◽  
YongQiang Ni ◽  
Mohammad Reza Farahani ◽  
Muhammad Imran

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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