Perspectives of computational fluid dynamics methods in the study of membrane processes
https://doi.org/10.20914/2310-1202-2023-2-38-44
Abstract
In the mathematical modeling of membrane processes, the study of the structural features of the membranes used and the significant limitation of information in the formal description of their separation properties led to the development of physical models that take into account not only the structural features of real membranes, but also their functioning features. When compiling physical models of membrane processes, it is impossible to objectively carry out a quantitative accounting of most factors due to their great diversity and variability, which distances the mathematical model far from the real process. This is why CFD methods reliably and efficiently perform calculations for all physical models and types, including steady or transient flow, incompressible or compressible flow (from small subsonic to hypersonic), laminar or turbulent flow simulations, Newtonian or non-Newtonian fluids, ideal or real gas . The authors analyzed the possibility of using CFD to calculate the hydrodynamics of flows in a membrane bioreactor based on hollow fibers. Safarov R.R. etc., an electronic geometric model of the installation was built, mesh geometry with different densities was selected to optimize the calculation time and solution accuracy for a specific case, the kinetic dependence of cell growth was calculated, the flow rates of the nutrient medium into the intrafiber and interfiber spaces of the bioreactor were determined, and the hydrodynamic conditions were analyzed. All of the above confirms the prospects for using CFD methods for modeling membrane processes complicated by culturing cells on the surface of membranes.
About the Authors
A. I. Klyuchnikov
Voronezh State University of Engineering Technologies
Dr. Sci. (Engin.), professor, machines and apparatuses of food production department, Revolution Av., 19 Voronezh, 394036, Russia
V. Y. Ovsyannikov
Voronezh State University of Engineering Technologies
Dr. Sci. (Engin.), professor, machines and apparatuses of food production department, Revolution Av., 19 Voronezh, 394036, Russia
D. V. Klyuchnikova
Voronezh State University of Engineering Technologies
Cand. Sci. (Engin.), associate professor, processing technology of animal products department, Revolution Av., 19 Voronezh, 394036, Russia
A. M. Davydov
Plekhanov Russian University of Economics
Cand. Sci. (Engin.), associate professor, restaurant business department, Stremyanny lane, 36, 117997, Moscow, Russia
References
1. Dash S., Mohanty S. Separation of lanthanum and neodymium in a hollow fiber supported liquid membrane: CFD modelling and experimental validation. Minerals Engineering. 2022. vol. 180. doi: 10.1016 / j.mineng. 2022.107472
2. Wang H., Wu J., Fu P., Qu Z. et al. CFD-DEM Study of Bridging Mechanism of Particles in Ceramic Membrane Pores under Surface Filtration Conditions. Processes Open Access. 2022. vol. 10. no. 3. doi: 10.3390/pr 10030475
3. Gu B., Adjiman C.S., Xu X.Y. Correlations for concentration polarization and pressure drop in spacer-filled RO membrane modules based on CFD simulations. Membranes Open Access. 2021. vol. 11. no. 5. doi: 10.3390/membranes 11050338
4. Al-Abbasi O., Bin Shams M. Dynamic CFD modelling of an industrial-scale dead-end ultrafiltration system: Full cycle and complete blockage. Journal of Water Process Engineering. 2021. vol. 40. doi: 10.1016/j.jwpe.2020.101887
5. Zoubeik M., Salama A., Henni A. A novel antifouling technique for the crossflow filtration using porous membranes: Experimental and CFD investigations of the periodic feed pressure technique. Water Research. 2018. vol. 146. pp. 159–1761. doi: 10.1016/j.watres.2018.09.027
6. Banik A., Bandyopadhyay T.K., Biswal S.K. Computational fluid dynamics (CFD) simulation of cross-flow mode operation of membrane for downstream processing. Recent Patents on Biotechnology. 2019. vol. 13. no. 1. doi: 10.2174 / 1872208312666180924160017
7. Yang X., Wang S., Hu B., Zhang K. et al. Estimation of concentration polarization in a fluidized bed reactor with Pd-based membranes via CFD approach. Journal of Membrane Science. 2019. vol. 581. pp. 262–269. doi: 10.1016 / j.memsci.2019.03.068
8. Wang Y., Brannock M., Cox S. CFD simulation of membrane filtration zone in a submerged hollow fiber membrane bioreactor using a porous media approach. Jornal of membrane science. 2010. vol. 363. pp. 57–66.
9. Madaeni S.S., Rahimi M., Abolhasani M. Investigation of cake deposition on various parts of the surface of microfiltration membrane due to fouling. Korean J Chem Eng. 2010. vol. 27. pp. 206–213.
10. Rahimi M., Madaenia S.S., Abolhasania M. CFD and experimental studies of fouling of a microfiltration membrane. Chem Eng Process. 2009. vol. 48. pp. 1405–1413.
11. Platonov D.V., Minakov A.V., Dekterev A.A., Kharlamov E.B. et al. Comparative analysis of CFD packages SIGMAFLOW and ANSYS FLUENT using the example of solving laminar test problems. Bulletin of Tomsk State University. 2013. no. 1(21). pp. 84–94. (in Russian).
12. Guseva E.V., Safarov R.R., Menshutina N.V., Budran Zh. An approach to modeling, scaling and optimizing the operation of bioreactors based on computational fluid dynamics. Software products and systems. 2015. no. 4 (112). pp. 249-255. (in Russian).
13. Guseva E.V., Safarov R.R., Menshutina N.V. An approach to modeling, scaling and optimizing the operation of bioreactors based on computational fluid dynamics. Software products and systems. 2015. no. 4 (112). pp. 261–267. (in Russian).
14. Guseva E., Menshutina N., Safarov R. Application of CFD to model batch and membrane bioreactors. 21st International Congress of Chemical and Process Engineering, CHISA 2014 and 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2014. 2014. pp. 1825-1827.
15. Guseva E., Safarov R., Menshutina N. Modelling of hollow-fiber membrane bioreactor by CFD. Proceeding of 10 th European Congress of Chemical Engineering, 3 rd European Congress of Applied Biorechnology, 5 th European Process Intensification Conference. Nice, 2015. pp. 1225.
16. Shirazi M.M.A., Kargari A., Ismail A.F., Matsuura T. Computational Fluid Dynamic (CFD) opportunities applied to the membrane distillation process: State-of-the-art and perspectives. Desalination. 2016. vol. 377. pp. 73-90. doi: 10.1016/j.desal.2015.09.010
17. Jurtz N., Kraume M., Wehinger G.D. Advances in fixed-bed reactor modeling using particle-resolved computational fluid dynamics (CFD). Reviews in Chemical Engineering. 2019. vol. 35. no. 2. pp. 139-190. doi: 10.1515/revce-2017-0059
18. Goh K., Karahan H.E., Wei L., Bae T.H. et al. Carbon nanomaterials for advancing separation membranes: A strategic perspective. Carbon. 2016. vol. 109. pp. 694-710. doi: 10.1016/j.carbon.2016.08.077
19. Drioli E., Ali A., Macedonio F. Membrane distillation: Recent developments and perspectives. Desalination. 2015. vol. 356. pp. 56-84. doi: 10.1016/j.desal.2014.10.028
20. González D., Amigo J., Suárez F. Membrane distillation: Perspectives for sustainable and improved desalination. Renewable and Sustainable Energy Reviews. 2017. vol. 80. pp. 238-259. doi: 10.1016/j.rser.2017.05.078
21.
Review
For citations:
Klyuchnikov A.I., Ovsyannikov V.Y., Klyuchnikova D.V., Davydov A.M. Perspectives of computational fluid dynamics methods in the study of membrane processes. Proceedings of the Voronezh State University of Engineering Technologies. 2023;85(2):38-44. (In Russ.) https://doi.org/10.20914/2310-1202-2023-2-38-44
Views:
216
Email this article 
Post a Comment 
