Two-fluid models for fluidized bed reactors: Latest trends and challenges Yassir Makkawi Chemical...
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Transcript of Two-fluid models for fluidized bed reactors: Latest trends and challenges Yassir Makkawi Chemical...
Two-fluid models for fluidized bed reactors: Latest trends and challenges
Yassir Makkawi
Chemical Engineering
Contents
Two-fluid model for multiphase flow simulation
Limitations and challenges
Example of results
Conclusion and recommendations
Two-fluid model Mathematical formulation to describe the
interaction of two fluids by treating the phases as interpenetrating continua
e.g. solid momentum
Kinetic energy
PDE :
Algebraic :
fluid
Gas-solid drag
Solid stresses Solid-solid drag
Solid-solid energy exchange
LimitationsSlightly wet or cohesive particlesIntermediate flowPoly-dispersed particlesVarious constitutive relationsAdjustable parametersSize change during processing
Constitutive relations- example
Schematic of flow regimes and modelling
24 sopsssk geP
Kinetic theory of granular flow
collisionkinetick
soil mechanics principles
Sp ff 1sin2
criticalssqs
pcriticals
criticalss
f AP
if
if 0
max
Slightly wet or cohesive particlesCohesive particles
Slightly wet particles
Rh
Skwetfs 2
?Enduring contact
Kinetic+ collision contacts
dry wet
polydispersed mixture
Granular temperature predicted by two different solution methods of the energy equation. Data produced with particle size of 755 µm fluidized by air at 4.7 m/s at the solid circulation rate of 36.g/s.
Solution of the Energy equation
Comparison of predicted and measured cross-sectional average solid velocity for the case of a polydispersed binary mixture of glass beads (755 µm,2500 kg/m3) and wood (500 µm, 585 kg/m3) with the mixing ratio of 83 wt% to 17 wt%.
polydispersed mixture
Positron Emission Particle Tracking (PEPT)
Building a biomass gasifier model
3D model is considered to simulate the
gasification of Biomass using Fluent.
two solid phases are modelled as mixture:
Gas phases: O2, N2, CO, H2, CH4, CO2,
tar, and H2O
Solid phases: Biomass mixture of C(s),
volatiles and ash.
Sand is introduced as an inert solid phase
The gasification model is based on three
main steps: (i) Drying (ii) Devolatilization and
tar cracking (iii) Partial combustion and
gasification reactions
Drying Is modelled as mass transfer mechanism:
Devolatilization and tar cracking
Partial combustion and gasification reactions
Combustion reactions Heterogeneous reactions Homogenous reactions
Latest trends- modelling of reactive system
�̇�=𝝐 𝒍𝝆 𝒍
𝑻 −𝑻 𝒔𝒂𝒕
𝑻 𝒔𝒂𝒕
�̂�𝒗𝒐𝒍=−𝒌𝒗𝒐𝒍∗𝑪𝒗𝒐𝒍
�̂�𝒕𝒂𝒓=−𝒌𝒕𝒂𝒓 ∗𝑪 𝒕𝒂𝒓
Combustion reactions
C+ 0.5O2 → CO
2CO + O2 → 2CO2
Heterogeneous gasification reactions C + 2H2 → CH4
C + CO2 → 2CO
C + H2O → CO + H2
Homogenous reactions
CO + H2O → H2 + CO2
CH4 + H2O → 3H2 + CO
Building the reaction model- continue
Results: hot flow hydrodynamics
Gasifier operating at: Inlet sand temperature of 900 oC; ER=0.1; biomass-to-steam ratio of 0.6; biomass feed rate of 20 g/s (7.2 kg/h)
300 600 900 12000
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8 BiomassGas
Temperature (oC)
He
igh
t (m
)
8E-04 4E-020
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8 Biomass
Volume fraction (-)
He
igh
t (m
)
-1 0 1 2 3 4 5 6 70
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8 BiomassGas
Vertical velocity (m/s)
He
igh
t (m
)
Results: product gas composition
Contours of gas concentration in the reactor. Solid inlet temp 1200 oC, ER=0.1, steam-to-biomass ratio =0.6, biomass feed=18 kg/h.
Steady exit gas composition at 900 oC solid inlet temperature; ER=0.1; steam-to-biomass ratio = 0.6
Tar content in the exit gas is 3.7 g/Nm3.
Results of parametric analysis- Effect of temperature
Consistent increase in the product gas heating value (HHV) with increasing the temperature
H2 content independent of operating temperature
CO2 decreases and CO increases with increasing temperature
The improved product gas quality (high H2 and HHV) here is due to the increase in the gasifer throughput, which in this case: 50 g/s (18 kg/h) for biomass and 30 g/s (108 kg/h) for sand.
The operating temperature of ~900 oC appear to be reasonable for high quality fuel.
Conclusion and recommendations Two-fluid modelling is so far the most reliable for the
simulation of solid-gas fluidized bed reactors.
The development and improvement of predictive capabilities of the two-fluid model is moving at a faster pace than the alternative Discrete Element Modelling.
Great success in simulating complex reactive system.
More effort is required: To reduce computational time Inter-particle forces Particle size distribution and physical change
Acknowledgment
Mr Mohamed Hassan (PhD student)