Comparison of first principles model of beer microfiltration to experiments via systematic parameter identification
| Autor: | A. Mepschen, V. Eisner, R.G.M. van der Sman, H.M. Vollebregt, G. van Willigenburg |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Microfiltration
Biobased Chemistry and Technology Filtration and Separation Biomass Refinery and Process Dynamics Shear-induced diffusion Biochemistry Least squares law.invention law General Materials Science Sensitivity (control systems) Physical and Theoretical Chemistry Diffusion (business) Process engineering Scaling Filtration Mathematics VLAG business.industry Beer Mechanics Fouling Identifiability Food Technology business Dimensionless quantity |
| Zdroj: | Journal of Membrane Science, 484, 64-79 Journal of Membrane Science 484 (2015) |
| ISSN: | 0376-7388 |
| DOI: | 10.1016/j.memsci.2015.03.015 |
| Popis: | A first principles microfiltration model based on shear-induced diffusion is compared to experiments performed on the clarification of beer. After performing an identifiability and sensitivity analysis, the model parameters are estimated using global minimization of the sum of least squares. The model is compared to different series of experiments, where either crossflow or permeate flux is varied. This study is concluded with a parameter study on the scaling of the filtration time with various model parameters. We have found that the filtration time primarily depends on two dimensionless numbers, namely the normalized critical distance for cake layer formation, and the dimensionless time required to plug all pores in the selective layer. We have found that there is an optimal setting of these parameters, rendering a maximal amount of filtrated beer in one cycle. |
| Databáze: | OpenAIRE |
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