Biomass steam gasification in bubbling fluidized bed for higher-H 2 syngas : CFD simulation with coarse grain model
(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)
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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.
- author
- Qi, Tian LU ; Lei, Tingzhou ; Yan, Beibei LU ; Chen, Guanyi ; Li, Zhongshan LU ; Fatehi, Hesameddin LU ; Wang, Zhiwei and Bai, Xue Song LU
- organization
- publishing date
- 2019-03-08
- 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
- 2022-04-25 21:42:26
@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}}, keywords = {{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}}, doi = {{10.1016/j.ijhydene.2019.01.146}}, volume = {{44}}, year = {{2019}}, }