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Biomass steam gasification in bubbling fluidized bed for higher-H 2 syngas : CFD simulation with coarse grain model

Qi, Tian LU ; Lei, Tingzhou; Yan, Beibei LU ; Chen, Guanyi; Li, Zhongshan LU ; Fatehi, Hesameddin LU ; Wang, Zhiwei and Bai, Xue Song LU (2019) In International Journal of Hydrogen Energy 44(13). p.6448-6460
Abstract


A comprehensive coarse grain model (CGM) is applied to simulation of biomass steam gasification in bubbling fluidized bed reactor. The CGM was evaluated by comparing the hydrodynamic behavior and heat transfer prediction with the results predicted using the discrete element method (DEM) and experimental data in a lab-scale fluidized bed furnace. CGM shows good performance and the computational time is significantly shorter than the DEM approach. The CGM is used to study the effects of different operating temperature and steam/biomass (S/B) ratio on the gasification process and product gas composition. The results show that higher temperature enhances the production of CO, and... (More)


A comprehensive coarse grain model (CGM) is applied to simulation of biomass steam gasification in bubbling fluidized bed reactor. The CGM was evaluated by comparing the hydrodynamic behavior and heat transfer prediction with the results predicted using the discrete element method (DEM) and experimental data in a lab-scale fluidized bed furnace. CGM shows good performance and the computational time is significantly shorter than the DEM approach. The CGM is used to study the effects of different operating temperature and steam/biomass (S/B) ratio on the gasification process and product gas composition. The results show that higher temperature enhances the production of CO, and higher S/B ratio improves the production of H
2
, while it suppresses the production of CO. For the main product H
2
, the minimum relative error of CGM in comparison with experiment is 1%, the maximum relative error is less than 4%. For the total gas yield and H
2
gas yield, the maximum relative errors are less than 7%. The predicted concentration of different product gases is in good agreement with experimental data. CGM is shown to provide reliable prediction of the gasification process in fluidized bed furnace with considerably reduced computational time.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biomass steam gasification, CGM, Fluidized bed, Numerical simulation
in
International Journal of Hydrogen Energy
volume
44
issue
13
pages
13 pages
publisher
Elsevier
external identifiers
  • scopus:85061595576
ISSN
0360-3199
DOI
10.1016/j.ijhydene.2019.01.146
language
English
LU publication?
yes
id
721d3f8d-9dfc-4848-b655-4b2c2f111a1b
date added to LUP
2019-03-15 12:41:30
date last changed
2019-08-04 05:26:49
@article{721d3f8d-9dfc-4848-b655-4b2c2f111a1b,
  abstract     = {<p><br>
                                                         A comprehensive coarse grain model (CGM) is applied to simulation of biomass steam gasification in bubbling fluidized bed reactor. The CGM was evaluated by comparing the hydrodynamic behavior and heat transfer prediction with the results predicted using the discrete element method (DEM) and experimental data in a lab-scale fluidized bed furnace. CGM shows good performance and the computational time is significantly shorter than the DEM approach. The CGM is used to study the effects of different operating temperature and steam/biomass (S/B) ratio on the gasification process and product gas composition. The results show that higher temperature enhances the production of CO, and higher S/B ratio improves the production of H                             <br>
                            <sub>2</sub><br>
                                                         , while it suppresses the production of CO. For the main product H                             <br>
                            <sub>2</sub><br>
                                                         , the minimum relative error of CGM in comparison with experiment is 1%, the maximum relative error is less than 4%. For the total gas yield and H                             <br>
                            <sub>2</sub><br>
                                                          gas yield, the maximum relative errors are less than 7%. The predicted concentration of different product gases is in good agreement with experimental data. CGM is shown to provide reliable prediction of the gasification process in fluidized bed furnace with considerably reduced computational time.                         <br>
                        </p>},
  author       = {Qi, Tian and Lei, Tingzhou and Yan, Beibei and Chen, Guanyi and Li, Zhongshan and Fatehi, Hesameddin and Wang, Zhiwei and Bai, Xue Song},
  issn         = {0360-3199},
  keyword      = {Biomass steam gasification,CGM,Fluidized bed,Numerical simulation},
  language     = {eng},
  month        = {03},
  number       = {13},
  pages        = {6448--6460},
  publisher    = {Elsevier},
  series       = {International Journal of Hydrogen Energy},
  title        = {Biomass steam gasification in bubbling fluidized bed for higher-H                         
                        <sub>2</sub>
                                                  syngas : CFD simulation with coarse grain model},
  url          = {http://dx.doi.org/10.1016/j.ijhydene.2019.01.146},
  volume       = {44},
  year         = {2019},
}