Chemistry, Physics and Technology of Surface, 2018, 9 (2), 145-157.

Anomalous diffusion of methanol in zeolite-containing catalyst for methanol to hydrocarbons conversion



DOI: https://doi.org/10.15407/hftp09.02.145

A. A. Zhokh, P. E. Strizhak

Abstract


For the first time, it is demonstrated that the methanol diffusion in the H-ZSM-5/Al2O3 catalyst pellet is anomalous and is described by the time-fractional diffusion equation. The regime of the methanol transport is sub-diffusive. The aim of the present work is a description of the experimental data of the methanol transport through the pellet of the zeolite-containing catalyst for olefins synthesis form the methanol based on the solutions of the diffusion equation of the second Fick’s law of diffusion and the time-fractional diffusion equation. In this work, the mesoporous catalyst based on zeolite H-ZSM-5 and alumina with zeolite/alumina ratio 3/1 by mass is used. The methanol transport has been studied using the developed method of mass transfer process investigation in the porous solid media in flow regime. The method is based on the porous sample saturation by a pulse of the adsorbate. The porous sample is installed to the diffusion cell. Adsorbate quantity evolution versus time is chromatographically analyzed. The porous sample is installed to the diffusion cell so that half of its surface is impermeable for adsorbate which allows applying the von Neumann boundary conditions to sole the diffusion equation. The investigation resulted in the obtaining the relative concentration decay versus time on the boundary of the catalyst pellet. The obtained experimental dependences are analyzed on the whole temporal scale using the analytic solution of the diffusion equation based on the second Fick’s law of diffusion. However, the correspondence between the theoretical solution and the experimental data is very poor. The asymptotic analysis of the experimental data in the long-time range linearized in the logarithmic coordinates according to the solution of the standard diffusion equation has demonstrated that the equation for the second Fick’s law of diffusion is inapplicable to a description of the obtained experimental data because the slope of the experimental data is far from the theoretical one which is equal to unity. On the other, an hand analysis of the experimental data in the long-time range linearized in the logarithmic coordinates according to the solution of the time-fractional diffusion equation revealed the high correlation between the theoretical solution and the experimental data. The calculated values of the fractional order and the fractional diffusion coefficient are independent on the experimental conditions. This means that these characteristics are individual for each pair of the porous media and diffusate and may be associated with the methanol adsorption on the active sites on the surface of the catalyst. The fractional order value is lower than unity, which reveals the presence of the sub-diffusive regime of transport, which is slower comparing to the standard diffusion. Based on the analysis of the methanol mass transfer in the pellet of the zeolite-containing catalyst, it is found that the solution of the time-fractional diffusion equation gives good fit to the experimental data comparing to the solution of the standard diffusion equation. The values of the diffusion coefficients and the fractional orders calculated on the long times are equal to the values estimated for the whole temporal range. It is found that the methanol transfer in the catalyst pellet occurs in the slow sub-diffusive regime. The experimental evidence of the presence of an anomalous diffusion is fundamental for the theoretical understanding the mass transfer process and modeling as well as for application during solving the engineering problems.


Keywords


diffusion; anomalous diffusion; fractional diffusion; methanol; zeolite H-ZSM-5

Full Text:

PDF (Русский)

References


1. Metzler R., Klafter J. The Random Walk's Guide to Anomalous Diffusion: A Fractional Dynamics Approach. Phys. Rep. 2000. 339(1): 1. https://doi.org/10.1016/S0370-1573(00)00070-3

2. Podlubny I. Geometric and physical interpretation of fractional integration and fractional differentiation. Fract. Calc. Appl. Anal. 2002. 5(4): 367.

3. Ibe O.C. Elements of random walk and diffusion processes. (Hoboken: John Wiley & Sons, 2013). https://doi.org/10.1002/9781118618059

4. Ciesielski M., Leszczynski J. Numerical simulations of anomalous diffusion. Comput. Methods Mech. 2003. June 3-6: 1.

5. O'Shaughnessy B., Procaccia I. Diffusion on fractals. Phys. Rev. A. 1985. 32(5): 3073. https://doi.org/10.1103/PhysRevA.32.3073

6. Paradisi P., Cesari R., Mainardi F., Tampieri F. The fractional fick's law for non-local transport processes. Physica A. 2001. 293(1–2): 130. https://doi.org/10.1016/S0378-4371(00)00491-X

7. Cázares-Ramírez R.-I., Espinosa-Paredes G. Time-fractional telegraph equation for hydrogen diffusion during severe accident in BWRs. J. King Saud Univ. 2016. 28(1): 21. https://doi.org/10.1016/j.jksus.2015.09.002

8. Hapca S., Crawford J.W., Macmillan K., Mike J., WilsonbIain M.Y. Modelling nematode movement using time-fractional dynamics. J. Theor. Biology. 2007. 248(1): 212. https://doi.org/10.1016/j.jtbi.2007.05.002

9. Pachepsky Y., Benson D., Rawls W. Simulating scale-dependent solute transport in soils with the fractional advective–dispersive equation. Soil Sci. Soc. Am. J. 2000. 64(4): 1234. https://doi.org/10.2136/sssaj2000.6441234x

10. Anderson A. N., Crawford J.W., McBratney A.B. On diffusion in fractal soil structures. Soil Sci. Soc. Am. J. 2000. 64(1): 19. https://doi.org/10.2136/sssaj2000.64119x

11. Bovet A., Gamarino M., Furno I. Ricci P., Fasoli A., Gustafson K., Newman D.E., Sánchez R. Transport equation describing fractional Lévy motion of suprathermal ions in TORPEX. Nucl. Fusion. 2014. 54(10): 104009. https://doi.org/10.1088/0029-5515/54/10/104009

12. Tian P., Wei Y., Ye M., Liu Z.M. Methanol to olefins (MTO): from fundamentals to commercialization. ACS Catal. 2015. 5(3): 1922. https://doi.org/10.1021/acscatal.5b00007

13. Li C., Qian D., Chen Y. On Riemann-Liouville and Caputo derivatives. Discret. Dyn. Nat. Soc. 2011. 2011: 1.

14. Zel'dovich Ya.B., Myshkis A.D. Elements of mathematical physics. (Moscow: Nauka, 1973). [in Russian].

15. Ray S.S. Exact solutions for time-fractional diffusion-wave equations by decomposition method. Physica Scripta. 2007. 75(1): 53. https://doi.org/10.1088/0031-8949/75/1/008

16. Ray S.S., Bera R.K. Analytical solution of a fractional diffusion equation by adomian decomposition method. Appl. Math. Comput. 2006. 174(1): 329. https://doi.org/10.1016/j.amc.2005.04.082

17. Das S. Analytical solution of a fractional diffusion equation by variational iteration method. Comput. Math. Appl. 2009. 57(3): 483. https://doi.org/10.1016/j.camwa.2008.09.045

18. Haubold H.J., Mathai A.M., Saxena R.K. Mittag-Leffler functions and their applications. J. Appl. Math. 2011. 2011: 1.

19. Huang F., Liu F. The space-time fractional diffusion equation with caputo derivatives. J. Appl. Math. Comput. 2005. 19(1): 179. https://doi.org/10.1007/BF02935797

20. Atkinson C., Osserain A. Rational solutions for the time-fractional diffusion equation. SIAM J. Appl. Math. 2011. 71(1): 92. https://doi.org/10.1137/100799307

21. Patent UA 103312. Strizhak P.E., Trypolskyi A.I., Zhokh O.O. Equipment for the measurements of the mass transfer parameters in solid porous media in flow regime. 2015.

22. Zhokh A.A., Strizhak P.E. Experimental verification of the time-fractional diffusion of methanol in silica. J. Appl. Nonlinear Dyn. 2017. 6(2): 135. https://doi.org/10.5890/JAND.2017.06.002

23. Rozenbaum V.M., Shapochkina I.V. Analytical representation of the relations of inertial diffusion transport. JETP Lett. 2015. 102(4): 248. https://doi.org/10.1134/S0021364015160110

24. Korochkova T.E., Shapochkina I.V, Rozenbaum V.M. Impact of inertia on passive and active transport of nanoparticles across phase boundary. Him. Fiz. Tehnol. Poverhni. 2013. 4(4): 427. [in Russian].

25. Cruz M.I., Stone W.E.E., Fripiat J.J. The methanol-silica gel system. ii. the molecular diffusion and proton exchange from pulse proton magnetic resonance data. J. Phys. Chem. 1972. 76(21): 3078. https://doi.org/10.1021/j100665a031

26. Brei V.V., Chuiko A.A. Self-Diffusion of Certain Molecules on the Surface of Pyrogenic Silica. Theor. Exp. Chem. 1989. 25(1):99. https://doi.org/10.1007/BF00580306

27. Su N. Mass-time and space-time fractional partial differential equations of water movement in soils: theoretical framework and application to infiltration. J. Hydrol. 2014. 519(B): 1792.

28. Khare R., Millar D., Bhan A. A mechanistic basis for the effects of crystallite size on light olefin selectivity in methanol-to-hydrocarbons conversion on MFI. J. Catal. 2015. 321: 23. https://doi.org/10.1016/j.jcat.2014.10.016

29. Hilfer R. Fractional diffusion based on Riemann-Liouville fractional derivatives. J. Phys. Chem. B. 2000. 104(16): 3914. https://doi.org/10.1021/jp9936289

30. Scalas E., Gorenflo R., Mainardi F. Uncoupled continuous-time random walks: solution and limiting behavior of the master equation. Phys. Rev. E. 2004. 69: 011107. https://doi.org/10.1103/PhysRevE.69.011107




DOI: https://doi.org/10.15407/hftp09.02.145

Copyright (©) 2018 A. A. Zhokh, P. E. Strizhak

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.