Abstract
Today, the challenge in chemical and material synthesis is not only the development of new catalysts and supports to synthesize a desired product, but also the understanding of the interaction of the catalyst with the surrounding flow field. Computational Fluid Dynamics or CFD is the analysis of fluid flow, heat and mass transfer and chemical reactions by means of computer-based numerical simulations. CFD has matured into a powerful tool with a wide range of applications in industry and academia. From a reaction engineering perspective, main advantages are reduction of time and costs for reactor design and optimization, and the ability to study systems where experiments can hardly be performed, e.g., hazardous conditions or beyond normal operation limits. However, the simulation results will always remain a reflection of the uncertainty in the underlying models and physicochemical parameters so that in general a careful experimental validation is required.
This chapter introduces the application of CFD simulations in heterogeneous catalysis. Catalytic reactors can be classified by the geometrical design of the catalyst material (e.g. monoliths, particles, pellets, washcoats). Approaches for modeling and numerical simulation of the various catalyst types are presented. Focus is put on the principal concepts for coupling the physical and chemical processes on different levels of details, and on illustrative applications. Models for surface reaction kinetics and turbulence are described and an overview on available numerical methods and computational tools is provided.
References
Bird RB, Stewart WE, Lightfoot EN (2001) Transport phenomena, 2nd edn. Wiley, New York
Blasi JM, Weddle PJ, Karakaya C, Diercks DR, Kee RJ (2016) Modeling reaction-diffusion processes within catalyst washcoats: II. Macroscale processes informed by microscale simulations. Chem Eng Sci 145:308–316
Choudary C, Mazumder S (2014) Direct numerical simulation of catalytic combustion in a multi-channel monolith reactor using personal computers with emerging architectures. Comput Chem Eng 61:175–184
Cornejo I, Nikrityuk P, Hayes RE (2018) Multiscale RANS-based modeling of the turbulence decay inside of an automotive catalytic converter. Chem Eng Sci 175:377–386
Crowe CT, Schwarzkopf JD, Sommerfeld M, Tsuji Y (2011) Multiphase flows with droplets and particles, 2nd edn. CRC Press, Boca Raton
Dixon AG, Taskin ME, Nijemeisland M, Stitt EH (2011) Systematic mesh development for 3D CFD simulation of fixed beds: single sphere study. Comput Chem Eng 35(7):1171–1185
Dudukovic MP (2009) Frontiers in reactor engineering. Science 325:698–701
Dybbs A, Edwards R (1984) A new look at porous media fluid mechanics – darcy to turbulent. In: Bear J, Corapcioglu M (eds) Fundamentals of transport phenomena in porous media. Vol. 82 of NATO ASI series. Springer, Netherlands, pp 199–256
Fox RO (2003) Computational methods for turbulent reacting flows. Cambridge University Press, Cambridge
Habisreuther P, Djordjevic N, Zarzalis N (2009) Statistical distribution of residence time and tortuosity of flow through open-cell foams. Chem Eng Sci 64(23):4943–4954
Hayes RE, Kolaczkowski ST (1997) Introduction to catalytic combustion. Gordon and Breach Science Publ, Amsterdam
Hayes RE, Fadic A, Mmbaga J, Najafi A (2012) CFD modelling of the automotive catalytic converter. Catal Today 188:94–105
Hettel M, Diehm C, Bonart H, Deutschmann O (2015) Numerical simulation of a structured catalytic methane reformer by DUO: the new computational interface for OpenFOAM® and DETCHEM™. Catal Today 258:230–240
Hettel M, Denev JA, Deutschmann O (2016) Two-zone fluidized bed reactors for butadiene Production: a multiphysical approach with solver coupling for supercomputing application. In: Nagel W, Kröner D, Resch M (eds) High performance computing in science and engineering ’16. Springer International Publish AG, Cham
Hettel M, Daymo E, Deutschmann O (2018) 3D modeling of a CPOX-reformer including detailed chemistry and radiation effects with DUO. Comput Chem Eng 109:166–178
Hjertager BH (2007) Multi-fluid CFD analysis of chemical reactors. In: Marchisio DL, Fox RO (eds) Multiphase reacting flows: modelling and simulation. Springer, Vienna, pp 125–179
Ishii M, Hibiki T (2006) Thermo-fluid dynamics of two-phase flow. Springer, New York/ London
Jakobsen HA (2008) Chemical reactor modeling: multiphase reactive flows. Springer, Berlin
Karakaya C, Weddle PJ, Blasi JM, Diercks DR, Kee RJ (2016) Modeling reaction-diffusion processes within catalyst washcoats: I. Microscale processes based on three-dimensional reconstructions. Chem Eng Sci 145:299–307
Kee RJ, Coltrin ME, Glarborg P (2003) Chemically reacting flow. Wiley, New Jersey
Kerkhof P, Geboers, MAM (2005) Towards a unified theory of isotropic molecular transport phenomena. Am Inst Chem Eng J 51:79–121
Korup O, Mavlyankariev S, Geske M, Goldsmith CF, Horn R (2011) Measurement and analysis of spatial reactor profiles in high temperature catalysis research. Chem Eng Process Process Intensif 50(10):998–1009
Kumar A, Mazumder S (2010) Toward simulation of full-scale monolithic catalytic converters with complex heterogeneous chemistry. Comput Chem Eng 34:135–145
Kuroki M, Ookawara S, Ogawa K (2009) A high-fidelity CFD model of methane steam reforming in a packed bed reactor. J Chem Eng Jpn 42(supplement):s73–s78
Lemos MJS (2006) Turbulence in porous media, modeling and applications. Elsevier, Amsterdam
Libby PA, Williams FA (eds) (1994) Turbulent reacting flows. Academic Press, London
Maestri M, Beretta A, Groppi G, Tronconi E, Forzatti P (2005) Comparison among structured and packed-bed reactors for the catalytic partial oxidation of CH4 at short contact times. Catal Today 105:709–717
Marchisio DL, Fox RO (2013) Computational models for polydisperse particulate and multiphase systems. Cambridge series in chemical engineering. Cambridge University Press, Cambridge
Marre S, Jensen KF (2010) Synthesis of micro and nanostructures in microfluidic systems. Chem Soc Rev 39:1183–1202
Nien T, Mmbaga JP, Hayes RE, Votsmeier M (2013) Hierarchical multi-scale model reduction in the simulation of catalytic converters. Chem Eng Sci 93:362–375
Önsan ZI, Avci AK (2016) Multiphase catalytic reactors theory, design, manufacturing, and applications. Wiley, Hoboken
OpenFOAM-The Open Source CFD Toolbox (2017) www.openfoam.org
Oran ES, Boris JP (1987) Numerical simulation of reactive flow. Elsevier, Amsterdam
Park HM (2018) A multiscale modeling of fixed bed catalytic reactors. Int J Heat Mass Transf 116:520–531
Patankar SV (1990) Numerical heat transfer and fluid flow. Series in computational methods in mechanics and thermal science. McGraw-Hill, New York
Peters N (2000) Turbulent combustion. Cambridge University Press, London
Poinsot T, Veynante D (2001) Theoretical and numerical combustion. R. T. Edwards, Inc., Philadelphia
Porter S, Saul J, Aleksandrova S, Medina H, Benjamin S (2016) Hybrid flow modelling approach applied to automotive catalysts. Appl Math Model 40:8435–8445
Pope SB (2000) Turbulent flows. Cambridge University Press, London
Radl S, Forgber T, Kloss C, Aigner A (2015) ParScale - a compilation of particle scale models. https://github.com/CFDEMproject/ParScale-PUBLIC
Schneiderbauer S, Puttinger S, Pirker S, Aguayo P, Kanellopoulos V (2015) CFD modeling and simulation of industrial scale olefin polymerization fluidized bed reactors. Chem Eng J 264:99–112
Sharma AK, Birgersson E (2016) Validity and scalability of an asymptotically reduced single-channel model for full-size catalytic monolith converters. Appl Math Comput 281:186–198
Sommerfeld M, van Wachem B, Oliemans R (2008) Best practice guidelines for computational fluid dynamics of dispersed multiphase flows. ERCOFTAC, SIAMUF Swedish Industrial Association for Multiphase Flows
Sommerfeld M (2017) Numerical methods for dispersed multiphase flows. In: Bodnár T, Galdi GP, Nečasová Š (eds) Particles in flows. Springer, Cham, pp 327–396
Sui R, Prasianakis NI, Mantzaras J, Mallya N, Theile J, Lagrange D, Friess M (2016) An experimental and numerical investigation of the combustion and heat transfer characteristics of hydrogen-fueled catalytic microreactors. Chem Eng Sci 141:214–230
Tischer S, Deutschmann O (2005) Recent advances in numerical modeling of catalytic monolith reactors. Catal Today 105:407–413
Versteeg HK, Malalasekera W (2007) An introduction to computational fluid dynamics, 2nd edn. Pearson, London
Wang TF, Wang JF, Jin Y (2007) Slurry reactors for gas-to-liquid processes: a review. Ind Eng Chem Res 46:5824–5847
Warnatz J, Dibble RW, Maas U (1996) Combustion, physical and chemical fundamentals, modeling and simulation, experiments, pollutant formation. Springer, New York
Wehinger G (2016) Particle-resolved CFD simulations of catalytic flow reactors. PhD Thesis, Technical University Berlin
Wehinger G, Heitmann H, Kraume M (2016) An artificial structure modeler for 3D CFD simulations of catalytic foams. Chem Eng J 284:543–556
Wehinger GD, Kraume M, Berg V, Korup O, Mette K, Schlögl R, Behrens M, Horn R (2016b) Investigating dry reforming of methane with spatial reactor profiles and particle-resolved CFD simulations. AICHE J 62:4436–4452
Wilcox CC (1998) Turbulence modeling for CFD. DCW Industries, La Canada, California, United States
Wörner M (2012) Numerical modeling of multiphase flows in microfluidics and micro process engineering: a review of methods and applications. Microfluid Nanofluid 12:841–886
Woo M, Wörner M, Maier L, Tischer S, Deutschmann O (2017) A numerical study on gas-liquid Taylor flow for catalytic hydrogenation of nitrobenzene with detailed kinetic mechanism, annual meeting ProcessNet section multiphase flow, March 14–15, 2017, Dresden, Germany, https://doi.org/10.5445/IR/1000068709
Yeoh GH, Cheung CP, Tu J (2014) Multiphase flow analysis using population balance modeling. Butterworth-Heinemann, Oxford
Zhong W, Yu A, Zhou G, Xie J, Zhang H (2016) CFD simulation of dense particulate reaction system: approaches, recent advances and applications. Chem Eng Sci 140:16–43
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Hettel, M., Wörner, M., Deutschmann, O. (2018). Computational Fluid Dynamics of Catalytic Reactors. In: Andreoni, W., Yip, S. (eds) Handbook of Materials Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-50257-1_6-1
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DOI: https://doi.org/10.1007/978-3-319-50257-1_6-1
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