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Particle-Scale Computational Fluid
Dynamics Modeling of Packed-Bed Reactors
Langsch et al., 2013
Lawal L. Olabanji and Patrick L. Mills
Dept. of Chemical & Natural Gas Engineering
Texas A & M University - Kingsville
Kingsville, TX 78363-8202 USA
Region V Fall Regional Conference National Society of Black Engineers
November 15, 2014
Outline
• Packed-Bed Reactors and Computational Fluid Dynamics (CFD)
• CFD Modeling of Packed-Bed Reactors
• Pre-processing
• Code Execution
• Results
• Conclusions
• References
• Packed-bed reactors are widely used in petroleum, petrochemical, fine
chemical and pharmaceutical industries [1, 2].
Packed-Bed Reactors and Computational
Fluid Dynamics (CFD)
Liquid hourly space velocity
(LHSV) = 0.2 to 10 hr-1
= 3600 QL[m3/s] / VR [m3]
0.001 < Gm < 2 kg/m2-s
where:
Gm = Gas mass velocity [kg/m2-s]
= USG [m/s] rG [kg/m3]
= QG [m3/s] /AR [m2]) rG [kg/m3]
0.083 < Lm < 25 kg/m2-s
where:
Lm = Liquid mass velocity [kg/m2-s]
= USL [m/s] rL [kg/m3]
= QL [m3/s] /AR [m2]) rL [kg/m3]
• Porous catalyst: 1.6 < dp < 13 mm
• Bed Height: 0.1 < H < 60 m
• Bed diameter 0.01 < dR < 10 m
• Computational fluid dynamics (CFD) allows a more detailed
view of the fluid flow and heat transfer mechanisms in
packed-bed reactors, through the resolution of 3-D Reynolds
Averaged Navier-Stokes equations (RANS), together with a
turbulence model.
• The economic impact of improving packed-bed reactors is
quite attractive since the worldwide capacity of materials
processed through trickle-bed reactors is approximately 1.6
billion metric tons/year .
• The mean value of products processed through trickle-bed
reactors is about 300 billion US$/year [1].
Packed-Bed Reactors and Computational
Fluid Dynamics (CFD)
Packed-Bed Reactors and Computational
Fluid Dynamics (CFD)
The objectives of this study include:
• Illustrate the use of computational fluid dynamics as a modeling tool for
multiphase packed-bed reactors.
• Numerically solve the mass and momentum transport equations
using a commercial CFD code.
• Obtain the pressure and velocity profiles and compare with
available experimental data from literature.
• Governing equations
– The equation of continuity (equation of mass)
– Navier-Stokes Equation (equation of momentum)
– The equation of energy
• Parametric Study, Computers & CFD Codes.
CFD Modeling of Packed-Bed Reactors
Bed (Top View) Packing
Structure
4 Layer Bed Section, gap = 1%*Dp Bed (Side
View)
Bed – Isometric View (119,075 Domain
Elements, Coarse Mesh, 200,145
DOF, R=0.25cm, H=1.34cm, N=2)
Pre-processing
Unit Cell in a Simple-Cubic
Packing Arrangement
with about 26,000
Unstructured Tetrahedral
Elements
Code Execution
Navier-Stokes Equations
Equation of Continuity
Equation of Energy
Model Equations
Boundary Conditions
Discretization: Finite Elements Method (FEM)
Sparse Matrix Solver: Pardiso (www.pardiso-project.org)
Results
Velocity map at y-z plane (m/s) Velocity at z = 20 mm within the cell for Rep = 100
Pressure Contour Map (Pa) Pressure Profile (kPa)
• The velocity profile obtained is in good agreement with
experimental results of Suekane et al., 2003 and Gunjal et al.,
2005.
• A CFD methodology has been described to
• to gain insight into interstitial-scale flow in packed-bed
reactors.
• conduct parametric studies with varying particle size and
reactor diameter (Inexpensive as compared to multiple
experimental set-up)
• 3-dimensional numerical simulations for complete beds have high
computational requirements (Random Access Memory).
Conclusions
Future work
• Accounting for temperature effects and then coupling with both
reaction and dispersion.
• Capture the effects of turbulence when flow conditions are
outside laminar flow regime
1. Patrick L. Mills, Milorad P. Dudukovic and Facial Larachi. Multiphase
Reactors – Revisited, Chem. Eng. Sci., 54 (1999) 1975 – 1995.
2. Prashant R. Gunjal, Vivek V. Ranade and Raghunath V. Chaudhari.
Computational Study of a Single-Phase Flow in Packed Beds of Spheres,
AIChE J., Vol 51, No 2, 365-378, 2005.
3. Anthony G. Dixon, Michael Nijemeisland, M.E. Taskin, E.H. Stitt. 3D
CFD Simulations of Steam Reforming with Resolved Intra-particle
Reaction and Gradient. Chem. Eng. Sci., 62 (2007) 4963-4966.
4. Robert Langsch, Anne Mueller, Stefan Haase and Ruediger Lange.
Process Intensification of Gas-Liquid-Solid Reactions in the Production of
Fine Chemicals with Milli Packed Bed Reactors, Catalysis and Reaction
Engineering Division, (26b) AIChE Conference Proceedings 2013.
References
Thank you very much

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Slides for NSBE Oral Presentation.pptx

  • 1. Particle-Scale Computational Fluid Dynamics Modeling of Packed-Bed Reactors Langsch et al., 2013 Lawal L. Olabanji and Patrick L. Mills Dept. of Chemical & Natural Gas Engineering Texas A & M University - Kingsville Kingsville, TX 78363-8202 USA Region V Fall Regional Conference National Society of Black Engineers November 15, 2014
  • 2. Outline • Packed-Bed Reactors and Computational Fluid Dynamics (CFD) • CFD Modeling of Packed-Bed Reactors • Pre-processing • Code Execution • Results • Conclusions • References
  • 3. • Packed-bed reactors are widely used in petroleum, petrochemical, fine chemical and pharmaceutical industries [1, 2]. Packed-Bed Reactors and Computational Fluid Dynamics (CFD) Liquid hourly space velocity (LHSV) = 0.2 to 10 hr-1 = 3600 QL[m3/s] / VR [m3] 0.001 < Gm < 2 kg/m2-s where: Gm = Gas mass velocity [kg/m2-s] = USG [m/s] rG [kg/m3] = QG [m3/s] /AR [m2]) rG [kg/m3] 0.083 < Lm < 25 kg/m2-s where: Lm = Liquid mass velocity [kg/m2-s] = USL [m/s] rL [kg/m3] = QL [m3/s] /AR [m2]) rL [kg/m3] • Porous catalyst: 1.6 < dp < 13 mm • Bed Height: 0.1 < H < 60 m • Bed diameter 0.01 < dR < 10 m
  • 4. • Computational fluid dynamics (CFD) allows a more detailed view of the fluid flow and heat transfer mechanisms in packed-bed reactors, through the resolution of 3-D Reynolds Averaged Navier-Stokes equations (RANS), together with a turbulence model. • The economic impact of improving packed-bed reactors is quite attractive since the worldwide capacity of materials processed through trickle-bed reactors is approximately 1.6 billion metric tons/year . • The mean value of products processed through trickle-bed reactors is about 300 billion US$/year [1]. Packed-Bed Reactors and Computational Fluid Dynamics (CFD)
  • 5. Packed-Bed Reactors and Computational Fluid Dynamics (CFD) The objectives of this study include: • Illustrate the use of computational fluid dynamics as a modeling tool for multiphase packed-bed reactors. • Numerically solve the mass and momentum transport equations using a commercial CFD code. • Obtain the pressure and velocity profiles and compare with available experimental data from literature.
  • 6. • Governing equations – The equation of continuity (equation of mass) – Navier-Stokes Equation (equation of momentum) – The equation of energy • Parametric Study, Computers & CFD Codes. CFD Modeling of Packed-Bed Reactors
  • 7. Bed (Top View) Packing Structure 4 Layer Bed Section, gap = 1%*Dp Bed (Side View) Bed – Isometric View (119,075 Domain Elements, Coarse Mesh, 200,145 DOF, R=0.25cm, H=1.34cm, N=2) Pre-processing Unit Cell in a Simple-Cubic Packing Arrangement with about 26,000 Unstructured Tetrahedral Elements
  • 8. Code Execution Navier-Stokes Equations Equation of Continuity Equation of Energy Model Equations Boundary Conditions Discretization: Finite Elements Method (FEM) Sparse Matrix Solver: Pardiso (www.pardiso-project.org)
  • 9. Results Velocity map at y-z plane (m/s) Velocity at z = 20 mm within the cell for Rep = 100 Pressure Contour Map (Pa) Pressure Profile (kPa)
  • 10. • The velocity profile obtained is in good agreement with experimental results of Suekane et al., 2003 and Gunjal et al., 2005. • A CFD methodology has been described to • to gain insight into interstitial-scale flow in packed-bed reactors. • conduct parametric studies with varying particle size and reactor diameter (Inexpensive as compared to multiple experimental set-up) • 3-dimensional numerical simulations for complete beds have high computational requirements (Random Access Memory). Conclusions Future work • Accounting for temperature effects and then coupling with both reaction and dispersion. • Capture the effects of turbulence when flow conditions are outside laminar flow regime
  • 11. 1. Patrick L. Mills, Milorad P. Dudukovic and Facial Larachi. Multiphase Reactors – Revisited, Chem. Eng. Sci., 54 (1999) 1975 – 1995. 2. Prashant R. Gunjal, Vivek V. Ranade and Raghunath V. Chaudhari. Computational Study of a Single-Phase Flow in Packed Beds of Spheres, AIChE J., Vol 51, No 2, 365-378, 2005. 3. Anthony G. Dixon, Michael Nijemeisland, M.E. Taskin, E.H. Stitt. 3D CFD Simulations of Steam Reforming with Resolved Intra-particle Reaction and Gradient. Chem. Eng. Sci., 62 (2007) 4963-4966. 4. Robert Langsch, Anne Mueller, Stefan Haase and Ruediger Lange. Process Intensification of Gas-Liquid-Solid Reactions in the Production of Fine Chemicals with Milli Packed Bed Reactors, Catalysis and Reaction Engineering Division, (26b) AIChE Conference Proceedings 2013. References