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

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Biomass steam gasification in bubbling fluidized bed for higher-H 2 syngas : CFD simulation with coarse grain model. / Qi, Tian; Lei, Tingzhou; Yan, Beibei; Chen, Guanyi; Li, Zhongshan; Fatehi, Hesameddin; Wang, Zhiwei; Bai, Xue Song.

I: International Journal of Hydrogen Energy, Vol. 44, Nr. 13, 08.03.2019, s. 6448-6460.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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TY - JOUR

T1 - Biomass steam gasification in bubbling fluidized bed for higher-H 2 syngas

T2 - International Journal of Hydrogen Energy

AU - Qi, Tian

AU - Lei, Tingzhou

AU - Yan, Beibei

AU - Chen, Guanyi

AU - Li, Zhongshan

AU - Fatehi, Hesameddin

AU - Wang, Zhiwei

AU - Bai, Xue Song

PY - 2019/3/8

Y1 - 2019/3/8

N2 - 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.

AB - 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.

KW - Biomass steam gasification

KW - CGM

KW - Fluidized bed

KW - Numerical simulation

U2 - 10.1016/j.ijhydene.2019.01.146

DO - 10.1016/j.ijhydene.2019.01.146

M3 - Article

VL - 44

SP - 6448

EP - 6460

JO - International Journal of Hydrogen Energy

JF - International Journal of Hydrogen Energy

SN - 1879-3487

IS - 13

ER -