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Computation 2019, 7(1), 17; https://doi.org/10.3390/computation7010017

Prediction of Bubble Size Distributions in Large-Scale Bubble Columns Using a Population Balance Model

Department of Energy, Politecnico di Milano, Via Lambruschini 4a, 20156 Milano, Italy
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Received: 8 February 2019 / Revised: 6 March 2019 / Accepted: 8 March 2019 / Published: 12 March 2019
(This article belongs to the Section Computational Engineering)
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Abstract

A precise estimation of the bubble size distribution (BSD) is required to understand the fluid dynamics in gas-liquid bubble columns at the “bubble scale,” evaluate the heat and mass transfer rate, and support scale-up approaches. In this paper, we have formulated a population balance model, and we have validated it against a previously published experimental dataset. The experimental dataset consists of BSDs obtained in the “pseudo-homogeneous” flow regime, in a large-diameter and large-scale bubble column. The aim of the population balance model is to predict the BSD in the developed region of the bubble column using as input the BSD at the sparger. The proposed approach has been able to estimate the BSD correctly and is a promising approach for future studies and to estimate bubble size in large-scale gas–liquid bubble columns.
Keywords: population balance model; bubble column; bubble size distribution; validation population balance model; bubble column; bubble size distribution; validation
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).
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Besagni, G.; Inzoli, F. Prediction of Bubble Size Distributions in Large-Scale Bubble Columns Using a Population Balance Model. Computation 2019, 7, 17.

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