Abstract
Axial dispersion of a solute in a flow through packed beds arises from molecular diffusion, velocity variations at the interstitial-pore scale and systematic radial velocity profiles. Currently, there is not a widely accepted procedure for estimating the last contribution. One possible reason is the fact that radial velocity profiles in packed beds are intimately related on the radial porosity profile, which is not a deterministic property, and velocity variations are relatively mild and confined to a region close to the vessel walls. A widespread notion is that only in the zone about a particle radius from the wall is the fluid velocity significantly larger (wall channelling) than in the remaining of the bed core. Based on literature results and effective-model evaluations, the impacts of porosity profiles and related velocity profiles are explored in this manuscript. It is found that the dispersion of a solute can be increased several times in magnitude solely due to the wall channelling when the detailed porosity profile is considered. This can be explained in terms of small velocity differences between a second region (up to around five particle diameters) and the innermost bed region. Guidelines are also discussed for predicting likely levels of dispersion. A further aspect concerns the simplification of the treatment in the wall-zone.
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Abbreviations
- LBS:
-
Lattice Boltzmann Simulation
- RWM:
-
Random Walk Method
- TAMM:
-
Taylor-Aris method of moments
- TZM:
-
Two-zone model
- a = d t/d p :
-
Tube to particle diameter ratio
- Bi p = k d p/D R :
-
Biot number
- C :
-
Molar concentration of a solute, kmol m−3
- d p, d t :
-
Particle and tube diameters, m
- \(\overline{D}_{ch}\) :
-
Cross-section averaged superficial channel dispersion, m2 s−1
- D ax :
-
Superficial axial dispersion coefficient, m2 s−1
- D ch(ρ):
-
Local superficial channel dispersion coefficient, m2 s−1
- D m :
-
Molecular diffusivity, m2 s−1
- D R :
-
Characteristic superficial radial dispersion coefficient, m2 s−1
- D rad(ρ):
-
Local superficial radial dispersion coefficient, m2 s−1
- D T , int :
-
Interstitial transversal dispersion coefficient, m2 s−1
- D v :
-
Superficial trans-column dispersion coefficient, m2 s−1
- D v , ∞ :
-
Asymptotic value of Dv at long distances from the tracer input, m2 s−1
- k :
-
Mass exchange coefficient between wall and core zones, m s−1
- L = \(\tfrac{1}{4}\) a 2 Pe R :
-
Parameter defined in Eq. (31)
- Pe j = u d p/D j :
-
Peclet number for superficial dispersion coefficient Dj
- Pe m = u d p/(εD m):
-
Molecular Peclet number
- Pe R :
-
Characteristic radial Peclet number
- r :
-
Radial coordinate, m
- r p, r t :
-
Particle and tube radii, m
- Re p = u d p/υ :
-
Reynolds number
- Re pc = u c d p/υ :
-
Reynolds number in the core zone
- Sc = υ/D m :
-
Schmidt number
- u = ε \(\overline{v}\) :
-
Cross-section averaged superficial velocity, m s−1
- u c, u w :
-
Average superficial velocities in the core and wall zone, m s−1
- v(ρ):
-
Local interstitial axial velocity, m s−1
- \(\overline{v}\) :
-
Cross-section averaged interstitial axial velocity, m s−1
- v c, v w :
-
Average interstitial velocities in the core and wall zone, m s−1
- v i, v m :
-
Average interstitial velocities in the inner and middle regions, m s−1
- V(ρ):
-
Variable defined in Eq. (8)
- y = (r t—r)/d p :
-
Dimensionless distance from the wall
- z :
-
Axial coordinate, m
- β :
-
Coefficient relating v and ψ, according to (Eq. 20)
- χ = \((v - \overline{v})/\overline{v}\) :
-
Relative excess velocity
- χ mi = (v m − v i)/v i :
-
Relative excess velocity accounting for the middle region effect
- χ wc = (v w − v c)/v c :
-
Relative excess velocity accounting for the wall zone effect
- ε :
-
Cross-section averaged porosity
- ε 0 :
-
Porosity value eventually reached far away from the wall (Eq. 19)
- ε c, ε w :
-
Average porosities in the core and wall zones
- ε i, ε m :
-
Average porosities in the inner and middle regions
- ρ = r/r t :
-
Dimensionless radial coordinate
- ρ c = 1–1/a :
-
Dimensionless radial coordinate bounding core and wall zones
- υ :
-
Kinematic viscosity, m2 s−1
- ψ(ρ):
-
Local porosity
- ∞ :
-
Asymptotic value at long time or distance
- I :
-
Initial
References
Abdulmohsin RS, Al-Dahhan MH (2016) Axial dispersion and mixing phenomena of the gas phase in a packed pebble-bed reactor. Ann Nucl Energy 88:100–111. https://doi.org/10.1016/j.anucene.2015.10.038
Aris R (1956) On the dispersion of a solute in a fluid flowing through a tube. Proc R Soc Math Phys Eng Sci 235:67–77. https://doi.org/10.1098/rspa.1956.0065
Aris R (1959) On the dispersion of a solute by diffusion, convection and exchange between phases. Proc R Soc Lond Ser A Math Phys Sci 252:538–550. https://doi.org/10.1098/rspa.1959.0171
Asensio DA, Zambon MT, Mazza GD, Barreto GF (2014) Heterogeneous two-region model for low-aspect-ratio fixed-bed catalytic reactors. Analysis of fluid-convective contributions. Ind Eng Chem Res 53:3587–3605. https://doi.org/10.1021/ie403219q
Asensio DA (2017) Modelado de reactores de lecho fijo de baja relación de aspecto asistido por Fluidodinámica Computacional (CFD). Universidad Nacional de La Plata.
Behnam M, Dixon AG, Nijemeisland M, Stitt EH (2013) A new approach to fixed bed radial heat transfer modeling using velocity fields from computational fluid dynamics simulations. Ind Eng Chem Res. https://doi.org/10.1021/ie4000568
Che-Galicia G, López-Isunza F, Corona-Jiménez E, Castillo-Araiza CO (2020) The role of kinetics and heat transfer on the performance of an industrial wall-cooled packed-bed reactor: oxidative dehydrogenation of ethane. AIChE J. https://doi.org/10.1002/aic.16900
Chen GQ, Wu Z (2012) Taylor dispersion in a two-zone packed tube. Int J Heat Mass Transf 55:43–52. https://doi.org/10.1016/j.ijheatmasstransfer.2011.08.037
Cundall PA, Strack ODL (1979) A discrete numerical model for granular assemblies. Géotechnique 29:47–65. https://doi.org/10.1680/geot.1979.29.1.47
Daneyko A (2015) Computational investigation of diffusion, flow, and multi-scale mass transport in disordered and ordered materials using high-performance computing. doi:https://doi.org/10.17192/z2015.0362
de Klerk A (2003) Voidage variation in packed beds at small column to particle diameter ratio. AIChE J 49:2022–2029. https://doi.org/10.1002/aic.690490812
Delgado JMPQ (2006) A critical review of dispersion in packed beds. Heat Mass Transf 42:279–310. https://doi.org/10.1007/s00231-005-0019-0
Delgado JMPQ (2007) Longitudinal and transverse dispersion in porous media. Chem Eng Res Des 85:1245–1252. https://doi.org/10.1205/cherd07017
Dixon AG, Medeiros NJ (2017) Computational fluid dynamics simulations of gas-phase radial dispersion in fixed beds with wall effects. Fluids 2:56. https://doi.org/10.3390/fluids2040056
Dixon AG, Wu Y (2020) Partial oxidation of o-xylene to phthalic anhydride in a fixed bed reactor with axial thermowells. Chem Eng Res Des 159:125–137. https://doi.org/10.1016/j.cherd.2020.03.027
Eppinger T, Seidler K, Kraume M (2011) DEM-CFD simulations of fixed bed reactors with small tube to particle diameter ratios. Chem Eng J 166:324–331. https://doi.org/10.1016/j.cej.2010.10.053
Gong B, Feng Y, Liao H, Wu X, Wang S, Wang X, Feng K (2018) Numerical investigation of the pebble bed structures for HCCB TBM. Fusion Eng Des 136:1444–1451. https://doi.org/10.1016/j.fusengdes.2018.05.033
Gritti F (2018) On the relationship between radial structure heterogeneities and efficiency of chromatographic columns. J Chromatogr A 1533:112–126. https://doi.org/10.1016/j.chroma.2017.12.030
Gritti F, Guiochon G (2013) Perspectives on the evolution of the column efficiency in liquid chromatography. Anal Chem 85:3017–3035. https://doi.org/10.1021/ac3033307
Gunn DJ (1987) Axial and radial dispersion in fixed beds. Chem Eng Sci 42:363–373. https://doi.org/10.1016/0009-2509(87)85066-2
Jiang WQ, Chen GQ (2019a) Solute transport in two-zone packed tube flow: long-time asymptotic expansion. Phys Fluids. https://doi.org/10.1063/1.5087211
Jiang WQ, Chen GQ (2019b) Environmental dispersion in layered wetland: moment based asymptotic analysis. J Hydrol 569:252–264. https://doi.org/10.1016/j.jhydrol.2018.12.005
Khirevich S (2011) High-performance computing of flow, diffusion, and hydrodynamic dispersion in random sphere packings. PhD Thesis 159. doi:https://doi.org/10.17192/z2011.0057
Knox JC, Ebner AD, LeVan MD, Coker RF, Ritter JA (2016) Limitations of breakthrough curve analysis in fixed-bed adsorption. Ind Eng Chem Res 55:4734–4748. https://doi.org/10.1021/acs.iecr.6b00516
Kwapinski W (2009) Combined wall and thermal effects during non-isothermal packed bed adsorption. Chem Eng J 152:271–276. https://doi.org/10.1016/j.cej.2009.05.023
Kwapinski W, Winterberg M, Tsotsas E, Mewes D (2004) Modeling of the wall effect in packed bed adsorption. Chem Eng Technol 27:1179–1186. https://doi.org/10.1002/ceat.200407001
Kwapinski W, Salem K, Mewes D, Tsotsas E (2010) Thermal and flow effects during adsorption in conventional, diluted and annular packed beds. Chem Eng Sci 65:4250–4260. https://doi.org/10.1016/j.ces.2010.04.017
Li G, Chen GQ, Wu Z, Li Z (2015) The asymptotic time variation of Taylor dispersivity for scalar transport in a two-zone packed tube. Int J Heat Mass Transf 83:416–427. https://doi.org/10.1016/j.ijheatmasstransfer.2014.12.015
Luzi CD, Mariani NJ, Asensio DA, Martinez OM, Barreto GF (2019) Estimation of the radial distribution of axial velocities in fixed beds of spherical packing. Chem Eng Res Des 150:153–168. https://doi.org/10.1016/j.cherd.2019.06.031
Maier RS (2002) Enhanced dispersion in cylindrical packed beds. Philosophical Transactions of the Royal Society of London. Ser A Math Phys Eng Sci 360:497–506. https://doi.org/10.1098/rsta.2001.0951
Maier RS, Kroll DM, Bernard RS, Howington SE, Peters JF, Davis HT (2003) Hydrodynamic dispersion in confined packed beds. Phys Fluids 15:3795–3815. https://doi.org/10.1063/1.1624836
Maier RS, Schure MR, Gage JP, Seymour JD (2008) Sensitivity of pore-scale dispersion to the construction of random bead packs. Water Resour Res 44:1–12. https://doi.org/10.1029/2006WR005577
Papageorgiou JN, Froment GF (1996) Phthalic anhydride synthesis. React Optim Asp Chem Eng Sci 51:2091–2098. https://doi.org/10.1016/0009-2509(96)00066-8
Partopour B, Dixon AG (2017) An integrated workflow for resolved-particle packed bed models with complex particle shapes. Powder Technol 322:258–272. https://doi.org/10.1016/j.powtec.2017.09.009
Reising AE, Schlabach S, Baranau V, Stoeckel D, Tallarek U (2017) Analysis of packing microstructure and wall effects in a narrow-bore ultrahigh pressure liquid chromatography column using focused ion-beam scanning electron microscopy. J Chromatogr A 1513:172–182. https://doi.org/10.1016/j.chroma.2017.07.049
Sahimi M (2011) Flow and transport in porous media and fractured rock, 2nd edn. Wiley-VCH Verlag GmbH & Co.KGaA, Weinheim
Salem K, Kwapinski W, Tsotsas E, Mewes D (2006) Experimental and theoretical investigation of concentration and temperature profiles in a narrow packed bed adsorber. Chem Eng Technol 29:910–915. https://doi.org/10.1002/ceat.200600049
Salvat WI, Mariani NJ, Martínez OM, Barreto GF (2005) On the analysis of packed bed structure at low aspect ratios. In: Proceedings of the 2nd mercosur congress on chemical engineering and 4th mercosur congress on process systems engineering (CD, ISBN: 85-7650-043-4). Río de Janeiro, Brazil.
Schulze S, Nikrityuk PA, Meyer B (2015) Porosity distribution in monodisperse and polydisperse fixed beds and its impact on the fluid flow. Part Sci Technol 33:23–33. https://doi.org/10.1080/02726351.2014.923960
Shakoor ZM (2010) Mathematical modeling and simulation of the dehydrogenation of ethyl benzene to form styrene using steady-state fixed bed reactor. Tikrit J Eng Sci 17:36–55
Son KN, Weibel JA, Knox JC, Garimella SV (2019) Limitations of the axially dispersed plug-flow model in predicting breakthrough in confined geometries. Ind Eng Chem Res 58:3853–3866. https://doi.org/10.1021/acs.iecr.8b05925
Taylor G (1953) Dispersion of soluble matter in solvent flowing slowly through a tube. Proc R Soc Math Phys Eng Sci 219:186–203. https://doi.org/10.1098/rspa.1953.0139
Tsotsas E, Schlünder EU (1988) On axial dispersion in packed beds with fluid flow. Chem Eng Process 24:15–31. https://doi.org/10.1016/0255-2701(88)87002-8
van Antwerpen W, du Toit CG, Rousseau PG (2010) A review of correlations to model the packing structure and effective thermal conductivity in packed beds of mono-sized spherical particles. Nucl Eng Des 240:1803–1818. https://doi.org/10.1016/j.nucengdes.2010.03.009
Vandre E, Maier RS, Kroll DM, McCormick A, Davis HT (2008) Diameter-dependent dispersion in cylindrical bead packs. AIChE J 54:2024–2028. https://doi.org/10.1002/aic.11529
Wehinger GD, Flaischlen S (2019) Computational fluid dynamics modeling of radiation in a steam methane reforming fixed-bed reactor. Ind Eng Chem Res 58:14410–14423. https://doi.org/10.1021/acs.iecr.9b01265
Winterberg M, Tsotsas E, Krischke A, Vortmeyer D (2000) A simple and coherent set of coefficients for modelling of heat and mass transport with and without chemical reaction in tubes filled with spheres. Chem Eng Sci 55:967–979. https://doi.org/10.1016/S0009-2509(99)00379-6
Wu Z, Chen GQ (2015) Axial diffusion effect on concentration dispersion. Int J Heat Mass Transf 84:571–577. https://doi.org/10.1016/j.ijheatmasstransfer.2015.01.045
Wu H, Gui N, Yang X, Tu J, Jiang S (2018) Particle-scale investigation of thermal radiation in nuclear packed pebble beds. J Heat Transfer. https://doi.org/10.1115/1.4039913
Zambon MT, Asensio DA, Barreto GF, Mazza GD (2014) Application of computational fluid dynamics (CFD) for the evaluation of fluid convective radial heat transfer parameters in packed beds. Ind Eng Chem Res 53:19052–19061. https://doi.org/10.1021/ie502627p
Acknowledgements
The authors are grateful for the financial support from the following argentine institutions: ANPCyT-MINCyT (PICT'15-3546), CONICET (PIP 0018) and UNLP (PID I226). C.D. Luzi, O.M. Martinez and G.F. Barreto are research members of CONICET.
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Appendices
Appendix 1: Taylor-Aris formulation
The mass conservation Eq. (1) for a species in a packed bed is re-written here:
Equation (40) will be used for a bed infinitely extended in the axial direction with a tracer initially present (t = 0) according to an axi-symmetric distribution CI (ρ, z), and without being fed at t > 0. For convenience, a change of variables from z to ζ it is made, with ζ = z-\(\overline{v}\) t, where \(\overline{v}\) = \((2/\varepsilon )\int_{0}^{1} {\psi (\rho )\,v(\rho )\,\rho \,d\rho }\) is the average interstitial velocity and ζ is the mobile axial coordinate. Equation (40) then becomes:
where the relative excess velocity \(\chi = (v - \overline{v})/\overline{v}\) verifies:
Note that in Eq. (41) (\(\partial C/\partial t\)) is the partial derivate of C at constant ζ.
The normalized local spatial moment of order n is defined as:
where MI = N/(ε π \(r_{t}^{2}\)) and N is the initial moles of tracer, which will be kept inside the bed at all times. The cross-section averaged spatial moment of order n is defined as:
It is assumed that CI (z,ρ) is such that cn(0,ρ) is finite and that the origin z = 0 is chosen in such a way that m1(0) = 0. Multiplying Eq. (41) by ζn and integrating on ζ = ± ∞ gives:
where \(\partial c_{n} /\partial \rho = 0\), ρ = 0,1. Differentiating Eq. (44) with respect to t and using Eq. (45) for \(\partial c_{n} /\partial t\):
In particular for n = 2:
The previous formulation is now applied for the so-called axial dispersion plug flow model, which assumes transversally uniform properties, porosity ε, velocity \(\overline{v}\), axial dispersion coefficient Dch = Dax, along with an initial distribution CI(z) also uniform on ρ. The terms in Eqs. (40, 41, 45) involving radial derivatives vanish. Under these conditions, it becomes, in particular, cn = mn, \(\chi (\rho )\) = 0 and c0 = 1 (at any t). Equation (47) is then reduced to:
Based on this result, for the two-dimensional model Eq. (40), an effective axial dispersion coefficient is analogously defined at a given t, with dm2/dt evaluated from Eq. (47). The moments c0 and c1 needed for this end are to be evaluated from Eq. (45):
The two integrals in Eq. (47) are defined as:
where \(\overline{v}\) = \(u/\varepsilon\) was used. The second moment m2 has been split as m2 = m2,ch + m2,v and the overall dispersion coefficient Dax (Eq. 48) as:
\(\overline{D}_{ch,I}\) is the average superficial coefficient of channel dispersion and Dv is the superficial trans-column dispersion coefficient caused by the non-uniform profile v(ρ). Both \(\overline{D}_{ch,I}\) and Dv depend on the initial distribution CI(ρ, z) and time t. However, for any CI(ρ, z), Eq. (49) indicates that, when \(t \to \infty\), c0 becomes uniform on ρ, and from the definition in Eq. (43) it follows that the asymptotic value is c0 = 1. Using this result in Eq. (50), it can be concluded that c1 reaches a stationary profile (i.e. \(\partial c_{1} /\partial t = 0\)) as t → ∞. Denoting as \(c_{1}^{\infty } (\rho )\) the stationary profile of c1, it is obtained from Eq. (50):
where \(c_{1}^{\infty } (0)\) is the value at ρ = 0, and
It is noted that V(1) = 0, by virtue of Eq. (42). Equation (53) when t → ∞ is written as:
With c0 = 1 in Eq. (51):
Substituting \(c_{1}^{\infty }\) ≡ c1 from Eq. (54) in Eq. (52), integrating by parts, having into account definition (55) and replacing \(\overline{v}\) = \(u/\varepsilon\), it is obtained for Dv,∞:
where the value \(c_{1}^{\infty } (0)\) (Eq. 54) has no effect on account of Eq. (42).
It is concluded that \(\overline{D}_{ch}\) (Eq. 57) and Dv,∞ (Eq. 58) become independent of CI(ρ, z).
Appendix 2: Dispersion in a bed with uniform oscillatory transversal porosity
Consider a packed bed between parallel plates with transversal porosity profile, far from the plates, given by ψ(ρ) = ε [1 + 0.5 cos(π ρ)], where ρ is the transverse coordinate in units of particle radius, dp/2. The amplitude of the waves is similar to the maximum of the waves in Fig. 2a and its wavelength is dp, also close to those of the actual profiles. The periodic velocity profile v(ρ) induced by ψ(ρ) will generate an asymptotic axial dispersion coefficient, Dwave, that can be evaluated from the TAMM. To this end, it is only necessary to consider an extension of half a wavelength, i.e., the range 0 < ρ < 1. Assuming the relation between v(ρ) and ψ(ρ) given by Eqs. (20–23) in the main text, applied to the Cartesian coordinate rather than the cylindrical radius, it is obtained \(\psi_{c}^{2} = \int_{0}^{1} {\,\psi^{2} (\rho )\;\,d\rho }\) = \(\tfrac{9}{8}\) ε2, and v(ρ)/\(\overline{v}\) = χ(ρ) + 1 = \(\varepsilon \,\psi (\rho )/\psi_{c}^{2}\) = \(\tfrac{8}{9}\)[1 + 0.5 cos(π ρ)].
The equivalent expressions for V(ρ) and Dv,∞ = Dwave in the slab geometry (cfr. Eqs 8 and 4) with Drad (ρ) = DR (uniform) are:
\(V(\rho )\) = \(\int_{0}^{\rho } {\,\chi (\rho ^{\prime})\,\psi (\rho ^{\prime})\,d\rho } ^{\prime}\,\);
Dwave = \(\left( {\tfrac{1}{2}u\,d_{p} /\varepsilon } \right)^{2} (1/D_{R} )\int_{0}^{1} {\;V^{2} (\rho )d\rho }\).
It is obtained Dwave \(\cong \tfrac{1}{512}\,\,(u\,d_{p} )^{2} /D_{R}\), or 1/Pewave \(\cong\)\(\tfrac{1}{512}\) PeR. Considering very large values of Pem, PeR = 9 and 1/Pech = \(\overline{D}_{ch}\)/(u dp) = 0.5 can be taken as a reference. The value 1/Pewave \(\cong\) 0.0176 thus obtained is significantly lower than 1/Pech = 0.5, and it can be concluded that the waves of a stationary profile v(ρ) do not contribute significantly.
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Luzi, C.D., Martinez, O.M. & Barreto, G.F. Effect of radial velocity profiles on axial dispersion in packed beds: asymptotic behaviour. Braz. J. Chem. Eng. 38, 865–885 (2021). https://doi.org/10.1007/s43153-021-00141-2
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DOI: https://doi.org/10.1007/s43153-021-00141-2