Development of Unified Correlations for Volumetric Mass-Transfer Coefficient and Effective Interfacial Area in Bubble Column Reactors for Various Gas−Liquid Systems Using Support Vector Regression

Abstract

The objective of this study was to develop a unified correlation for the volumetric mass-transfer coefficient (kLa) and effective interfacial area (a) in bubble columns for various gas−liquid systems using support vector regression (SVR-) based modeling technique. From the data published in the open literature, 1600 data points from 27 open sources spanning the years 1965−2007 for kLa and 1330 data points from 28 open sources spanning the years 1968−2007 for a were collected. Generalized SVR-based models were developed for the relationship between kLa (and a) and each design and operating parameters such as column and sparger geometry, gas−liquid physical properties, operating temperature, pressure, superficial gas velocity, and so on. Further, these models for kLa and a are available online at http://www.esnips.com/web/UICT-NCL. The proposed generalized SVR-based correlations for kLa and a have prediction accuracies of 99.08% and 98.6% and average absolute relative errors (AAREs) of 7.12% and 5.01%, respectively. Also, the SVR-based correlation provided much improved predictions compared to those obtained using empirical correlations from the literature.