Next Article in Journal
Numerical Simulation of a New Porous Medium Burner with Two Sections and Double Decks
Next Article in Special Issue
A Novel Framework for Parameter and State Estimation of Multicellular Systems Using Gaussian Mixture Approximations
Previous Article in Journal
Toward a Comprehensive and Efficient Robust Optimization Framework for (Bio)chemical Processes
Previous Article in Special Issue
Population Balance Modeling and Opinion Dynamics—A Mutually Beneficial Liaison?
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessFeature PaperArticle
Processes 2018, 6(10), 184; https://doi.org/10.3390/pr6100184

Modeling the Separation of Microorganisms in Bioprocesses by Flotation

1
Chair of Process Systems Engineering, Technical University of Munich, 85354 Freising, Germany
2
BASF SE, 67056 Ludwigshafen am Rhein, Germany
*
Author to whom correspondence should be addressed.
Received: 22 August 2018 / Revised: 27 September 2018 / Accepted: 30 September 2018 / Published: 6 October 2018
(This article belongs to the Special Issue Recent Advances in Population Balance Modeling)
Full-Text   |   PDF [1118 KB, uploaded 18 October 2018]   |  

Abstract

Bioprocesses for the production of renewable energies and materials lack efficient separation processes for the utilized microorganisms such as algae and yeasts. Dissolved air flotation (DAF) and microflotation are promising approaches to overcome this problem. The efficiency of these processes depends on the ability of microorganisms to aggregate with microbubbles in the flotation tank. In this study, different new or adapted aggregation models for microbubbles and microorganisms are compared and investigated for their range of suitability to predict the separation efficiency of microorganisms from fermentation broths. The complexity of the heteroaggregation models range from an algebraic model to a 2D population balance model (PBM) including the formation of clusters containing several bubbles and microorganisms. The effect of bubble and cell size distributions on the flotation efficiency is considered by applying PBMs, as well. To determine the sensitivity of the results on the model assumptions, the modeling approaches are compared, and suggestions for their range of applicability are given. Evaluating the computational fluid dynamics (CFD) of a dissolved air flotation (DAF) system shows the heterogeneity of the fluid dynamics in the flotation tank. Since analysis of the streamlines of the tank show negligible back mixing, the proposed aggregation models are coupled to the CFD data by applying a Lagrangian approach. View Full-Text
Keywords: flotation; separation of microorganisms; bioseparation; heteroaggregation; population balance modeling; coupling of aggregation and CFD; model comparison flotation; separation of microorganisms; bioseparation; heteroaggregation; population balance modeling; coupling of aggregation and CFD; model comparison
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Schmideder, S.; Kirse, C.; Hofinger, J.; Rollié, S.; Briesen, H. Modeling the Separation of Microorganisms in Bioprocesses by Flotation. Processes 2018, 6, 184.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Processes EISSN 2227-9717 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top