# Potential Impact of Computational Techniques to Express the Solid Dynamics in (Gas-Liquid-Solid) Multiphase Reactors

## DOI:

https://doi.org/10.24949/njes.v11i2.504## Keywords:

Chaos Analysis, Volume of Fluid Method, Discrete Element Method and Eulerian- Eulerian Simulation.## Abstract

The computational fluid dynamics codes play a paramount role by demonstrating the system dynamics. The solid dynamics in a multiphase reactor can be analysed from (Chaos, Fractures, Clustering Discrete Element and Eulerian-Langrangian) simulation methods. The Chaos analysis is studied from pressure variation and time series. It includes the characterization of the flow region and their transition.**The correlation dimension from the gas phase will describe the scale behaviour in the Chaos analysis. An effective flow model with definite investigation is obtained from this analysis. The flow regimes will be characterized by the structures variation.**

**The volume of fluid and continuum surface force models elaborate on the fluidized bed bubble dynamics in the reactor. The bubbles formation and gasification process of (Fuel gas) are studied from parameters by including (Minimum fluidization velocity, Gas surface tension, Gas viscosity and Density). The results demonstrate the parameters which are influenced by (Particle density and Size).**

**The investigation in time series signals for the biomass gasification process will be demonstrated from the fluidized bed hydrodynamics and system basics. The solid dynamics has been investigated by indicating a novel bubbling in biomass (Wood) in the gasification process time signals. The indication of complex signals in solid dynamics can be obtained from it simultaneously.**

## References

Abid, M.F., et al., Hydrodynamic Study of an Ebullated-bed Reactor in the H-oil Process. Iranian Journal of Science and Technology, Transactions A: Science, 2019. 43(3): p. 829-838.

Yang, N., et al., Explorations on the multi-scale flow structure and stability condition in bubble columns. Chemical Engineering Science, 2007. 62(24): p. 6978-6991.

Panneerselvam, R., S. Savithri, and G. Surender, CFD simulation of hydrodynamics of gas–liquid–solid fluidised bed reactor. Chemical Engineering Science, 2009. 64(6): p. 1119-1135.

Li, Y., J. Zhang, and L.-S. Fan, Numerical simulation of gas–liquid–solid fluidization systems using a combined CFD-VOF-DPM method: bubble wake behavior. Chemical Engineering Science, 1999. 54(21): p. 5101-5107.

Glover, G.C. and S.C. Generalis, Gas–liquid–solid flow modelling in a bubble column. Chemical Engineering and Processing: Process Intensification, 2004. 43(2): p. 117-126.

van Sint Annaland, M., N. Deen, and J. Kuipers, Numerical simulation of gas bubbles behaviour using a three-dimensional volume of fluid method. Chemical engineering science, 2005. 60(11): p. 2999-3011.

van Sint Annaland, M., N. Deen, and J. Kuipers, Numerical simulation of gas–liquid–solid flows using a combined front tracking and discrete particle method. Chemical engineering science, 2005. 60(22): p. 6188-6198.

Yang, G., B. Du, and L. Fan, Bubble formation and dynamics in gas–liquid–solid fluidization—A review. Chemical engineering science, 2007. 62(1-2): p. 2-27.

Duduković, M.P., F. Larachi, and P.L. Mills, Multiphase catalytic reactors: a perspective on current knowledge and future trends. Catalysis reviews, 2002. 44(1): p. 123-246.

Liu, G., et al., Unsteady-state operation of trickle-bed reactor for dicyclopentadiene hydrogenation. Chemical Engineering Science, 2008. 63(20): p. 4991-5002.

Janecki, D., A. Burghardt, and G. Bartelmus, Influence of the porosity profile and sets of Ergun constants on the main hydrodynamic parameters in the trickle-bed reactors. Chemical Engineering Journal, 2014. 237: p. 176-188.

Chowdhury, R., E. Pedernera, and R. Reimert, Trickle‐bed reactor model for desulfurization and dearomatization of diesel. AIChE journal, 2002. 48(1): p. 126-135.

Tukač, V., et al., The behavior of pilot trickle-bed reactor under periodic operation. Chemical engineering science, 2007. 62(18-20): p. 4891-4895.

Liu, J., M. Liu, and H. Zongding, Clustering behaviour in gas–liquid–solid circulating fluidized beds with low solid holdups of resin particles. The Canadian Journal of Chemical Engineering, 2010. 88(4): p. 586-600.

Jia, X., et al., CFD modelling of phenol biodegradation by immobilized Candida tropicalis in a gas–liquid–solid three-phase bubble column. Chemical engineering journal, 2010. 157(2-3): p. 451-465.

Schubert, M., T. Bauer, and R. Lange, Instationäre Betriebsweise zur Leistungssteigerung technischer Rieselbettreaktoren. Chemie Ingenieur Technik, 2006. 78(8): p. 1023-1032.

Silva, J., et al., Experimental analysis and evaluation of the mass transfer process in a trickle-bed reactor. Brazilian Journal of Chemical Engineering, 2003. 20(4): p. 375-390.

Lappalainen, K., M. Manninen, and V. Alopaeus, CFD modeling of radial spreading of flow in trickle-bed reactors due to mechanical and capillary dispersion. Chemical Engineering Science, 2009. 64(2): p. 207-218.

Silva, J., Dynamic modelling for a trickle-bed reactor using the numerical inverse Laplace transform technique. Procedia Engineering, 2012. 42: p. 454-470.

Lopes, R.J. and R.M. Quinta-Ferreira, Turbulence modelling of multiphase flow in high-pressure trickle-bed reactors. Chemical Engineering Science, 2009. 64(8): p. 1806-1819.

Iliuta, I., et al., Analysis of trickle bed and packed bubble column bioreactors for combined carbon oxidation and nitrification. Brazilian Journal of Chemical Engineering, 2002. 19(1): p. 69-88.

Bazmi, M., S. Hashemabadi, and M. Bayat, CFD simulation and experimental study of liquid flow mal-distribution through the randomly trickle bed reactors. International communications in heat and mass transfer, 2012. 39(5): p. 736-743.

Atta, A., S. Roy, and K.D. Nigam, Investigation of liquid maldistribution in trickle-bed reactors using porous media concept in CFD. Chemical engineering science, 2007. 62(24): p. 7033-7044.

Gorshkova, E., et al., Three-Phase CFD-Model for Trickle Bed Reactors. International Journal of Nonlinear Sciences and Numerical Simulation, 2012. 13(6): p. 397-404.

Heidari, A. and S.H. Hashemabadi, CFD simulation of isothermal diesel oil hydrodesulfurization and hydrodearomatization in trickle bed reactor. Journal of the Taiwan Institute of Chemical Engineers, 2014. 45(4): p. 1389-1402.

Ma, D., et al., Two-dimensional volume of fluid simulation studies on single bubble formation and dynamics in bubble columns. Chemical Engineering Science, 2012. 72: p. 61-77.

Yujie, Z., et al., Three-dimensional volume of fluid simulations on bubble formation and dynamics in bubble columns. Chemical engineering science, 2012. 73: p. 55-78.

Mousazadeh, F., H. van den Akker, and R. Mudde, Eulerian simulation of heat transfer in a trickle bed reactor with constant wall temperature. Chemical engineering journal, 2012. 207: p. 675-682.

de Matos Jorge, L.M., R.M.M. Jorge, and R. Giudici, Experimental and numerical investigation of dynamic heat transfer parameters in packed bed. Heat and mass transfer, 2010. 46(11-12): p. 1355-1365.

Jarullah, A.T., I.M. Mujtaba, and A.S. Wood, Kinetic parameter estimation and simulation of trickle-bed reactor for hydrodesulfurization of crude oil. Chemical Engineering Science, 2011. 66(5): p. 859-871.

Silva, A., et al., Fluid dynamics and reaction assessment of diesel oil hydrotreating reactors via CFD. Fuel Processing Technology, 2017. 166: p. 17-29.

Tohidian, T., O. Dehghani, and M. Rahimpour, Modeling and simulation of an industrial three phase trickle bed reactor responsible for the hydrogenation of 1, 3-butadiene: A case study. Chemical Engineering Journal, 2015. 275: p. 391-404.

Fan, L.-S., et al., Some aspects of high-pressure phenomena of bubbles in liquids and liquid–solid suspensions. Chemical engineering science, 1999. 54(21): p. 4681-4709.

Wang, X., et al., Numerical simulation of single bubble motion in ionic liquids. Chemical engineering science, 2010. 65(22): p. 6036-6047.

Sokolichin, A. and G. Eigenberger, Gas—liquid flow in bubble columns and loop reactors: Part I. Detailed modelling and numerical simulation. Chemical engineering science, 1994. 49(24): p. 5735-5746.

Sokolichin, A., et al., Dynamic numerical simulation of gas-liquid two-phase flows Euler/Euler versus Euler/Lagrange. Chemical engineering science, 1997. 52(4): p. 611-626.

Pfleger, D., et al., Hydrodynamic simulations of laboratory scale bubble columns fundamental studies of the Eulerian–Eulerian modelling approach. Chemical Engineering Science, 1999. 54(21): p. 5091-5099.

Pfleger, D. and S. Becker, Modelling and simulation of the dynamic flow behaviour in a bubble column. Chemical engineering science, 2001. 56(4): p. 1737-1747.

Iranshahi, D., et al., Optimal design of a radial-flow membrane reactor as a novel configuration for continuous catalytic regenerative naphtha reforming process considering a detailed kinetic model. International journal of hydrogen energy, 2013. 38(20): p. 8384-8399.

Elizalde, I., et al., Mathematical modeling and simulation of an industrial adiabatic trickle-bed reactor for upgrading heavy crude oil by hydrotreatment process. Reaction Kinetics, Mechanisms and Catalysis, 2019. 126(1): p. 31-48.

Wu, W. and Y.-L. Li, Selective hydrogenation of methylacetylene and propadiene in an industrial process: a multiobjective optimization approach. Industrial & engineering chemistry research, 2011. 50(3): p. 1453-1459.

Jarullah, A.T., I.M. Mujtaba, and A.S. Wood, Kinetic model development and simulation of simultaneous hydrodenitrogenation and hydrodemetallization of crude oil in trickle bed reactor. Fuel, 2011. 90(6): p. 2165-2181.

Li, T., X. Ku, and T. Løva, CFD simulation of devolatilization of biomass with shrinkage effect. Energy Procedia, 2016: p. 2-7.

Cornelissen, J.T., et al., CFD modelling of a liquid–solid fluidized bed. Chemical Engineering Science, 2007. 62(22): p. 6334-6348.

Brusca, S., et al., Pm10 dispersion modeling by means of cfd 3d and Eulerian–Lagrangian models: analysis and comparison with experiments. Energy Procedia, 2016. 101: p. 329-336.

Zhang, X. and G. Ahmadi, Eulerian–Lagrangian simulations of liquid–gas–solid flows in three-phase slurry reactors. Chemical Engineering Science, 2005. 60(18): p. 5089-5104.

Lopes, R.J. and R.M. Quinta-Ferreira, CFD modelling of multiphase flow distribution in trickle beds. Chemical Engineering Journal, 2009. 147(2-3): p. 342-355.

Lim, M.H., et al., New insights to trickle and pulse flow hydrodynamics in trickle-bed reactors using MRI. Chemical engineering science, 2004. 59(22-23): p. 5403-5410.

Rabbani, S., T. Sahmim, and M. Sassi, Numerical Modelling and Simulation of Gas-Liquid Trickle Flow in Trickle Bed Reactor Using an Improved Phenomenological Model. Energy Procedia, 2017. 105: p. 4140-4145.

Da Silva, M., E. Schleicher, and U. Hampel, Capacitance wire-mesh sensor for fast measurement of phase fraction distributions. Measurement Science and Technology, 2007. 18(7): p. 2245.

Schubert, M., H. Kryk, and U. Hampel, Slow-mode gas/liquid-induced periodic hydrodynamics in trickling packed beds derived from direct measurement of cross-sectional distributed local capacitances. Chemical Engineering and Processing: Process Intensification, 2010. 49(10): p. 1107-1121.

Liu, M.-Y., Z.-D. Hu, and J.-H. Li, MULTI-SCALE CHARACTERISTICS OF CHAOS BEHAVIOR IN GAS-LIQUID BUBBLE COLUMNS. Chemical Engineering Communications, 2004. 191(8): p. 1003-1016.

Van der Schaaf, J., et al., Similarity between chaos analysis and frequency analysis of pressure fluctuations in fluidized beds. Chemical Engineering Science, 2004. 59(8-9): p. 1829-1840.

van Den Bleek, C.M., M.-O. Coppens, and J.C. Schouten, Application of chaos analysis to multiphase reactors. Chemical Engineering Science, 2002. 57(22-23): p. 4763-4778.

Liu, M. and Z. Hu, Nonlinear analysis and prediction of time series in multiphase reactors. 2013: Springer Science & Business Media.

Liu, J., M. Liu, and Z. Hu, Fractal Structure in Gas–Liquid–Solid Circulating Fluidized Beds with Low Solid Holdups of Macroporous Resin Particles. Industrial & Engineering Chemistry Research, 2013. 52(33): p. 11404-11413.

Bramsiepe, C., et al., Low-cost small scale processing technologies for production applications in various environments—Mass produced factories. Chemical Engineering and Processing: Process Intensification, 2012. 51: p. 32-52.

Xu, Y., M. Liu, and C. Tang, Three-dimensional CFD–VOF–DPM simulations of effects of low-holdup particles on single-nozzle bubbling behavior in gas–liquid–solid systems. Chemical engineering journal, 2013. 222: p. 292-306.

Razzak, S., J. Zhu, and S. Barghi, Effects of Particle Shape, Density, and Size on a Distribution of Phase Holdups in a Gas− Liquid− Solid Circulating Fluidized Bed Riser. Industrial & engineering chemistry research, 2010. 49(15): p. 6998-7007.

Oevermann, M., S. Gerber, and F. Behrendt, Euler–Lagrange/DEM simulation of wood gasification in a bubbling fluidized bed reactor. Particuology, 2009. 7(4): p. 307-316.

Sharma, S. and P.N. Sheth, Air–steam biomass gasification: experiments, modeling and simulation. Energy conversion and management, 2016. 110: p. 307-318.

Li, Y., et al., Simulation of biomass gasification in a fluidized bed by artificial neural network (ANN). Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2018. 40(5): p. 544-548.

Mess, D., A.F. Sarofim, and J.P. Longwell, Product layer diffusion during the reaction of calcium oxide with carbon dioxide. Energy & Fuels, 1999. 13(5): p. 999-1005.

Weber, B., et al., CFD based compartment-model for a multiphase loop-reactor. Chemical Engineering Science: X, 2019. 2: p. 100010.

Shi, X., et al., 3D Eulerian-Eulerian modeling of a screw reactor for biomass thermochemical conversion. Part 1: Solids flow dynamics and back-mixing. Renewable Energy, 2019. 143: p. 1465-1476.