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Hydrogen production from co-gasification of Çan lignite and sorghum biomass in a fixed-bed gasifier: CFD modeling

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Abstract

Temperature, steam flow rate and coal/biomass ratio in the feedstock are the key factors that affect the performances of co-gasification processes. A three-dimensional computational fluid dynamics (CFD) method matched with homogenous chemical reactions was used to visualize hydrogen concentration gradient in a fixed-bed reactor. The Eulerian–Eulerian CFD method was promoted to investigate the effects of various ranges of temperature (700–950 °C), water flow rate (0.5 × 10–8 to 3.3 × 10–8 m3/s) and coal/biomass ratio (0–100%) on the gasification efficiency. All numerical operations were under time-dependent conditions by depicting concentration contours for H2 production. Using the CFD technique, the desirable circumstances for maximum H2 production were specified as temperature of 850 °C, water flow rate of 1.9 × 10−3 m3/s and coal/biomass ratio of around 50%. A comparison between the simulation results and experimental gasification data was conducted to approve the CFD results, and there was an acceptable agreement among them.

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Abbreviations

R i :

Production rate of hydrogen (mol/m3/s)

u :

Velocity vector

M ij :

Interphase coupling term

C :

Concentration (mol/m3)

F :

Volume force (N/m3)

F m :

Interphase momentum transfer (N/m3)

P :

Pressure (Pa)

d P :

Solid nominal diameter (m)

X exp. :

Concentration of H2 in the experimental paper (mol/m3)

X sim :

Concentration of H2 in simulated results (mol/m3)

m :

Mass of the mixture (kg)

C p :

Specific heat capacity

Q cond :

Heat transfer in the domain through the conduction (J)

Q conv :

Heat transfer in the domain through the convection (J)

φ :

Phase volume fraction

τ :

Viscous stress tensor (Pa)

µ :

Dynamic viscosity (Pa*s)

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Correspondence to Faranak Akhlaghian.

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Amani, A., Akhlaghian, F. Hydrogen production from co-gasification of Çan lignite and sorghum biomass in a fixed-bed gasifier: CFD modeling. Int J Energy Environ Eng 13, 295–304 (2022). https://doi.org/10.1007/s40095-021-00423-y

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  • DOI: https://doi.org/10.1007/s40095-021-00423-y

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