A 1D multifluid population balance model approach is presented as a
compromise between computational effort and accuracy. The approach is
used to test process scenarios, perform sensitivity analysis, and
provide a reliable scale-up and optimization tool. The study focuses on
a mini-plant batch bubble column, where the scale-up behavior in terms
of bubble column height, gas flux, and composition of the liquid phase
is investigated. Although simplifications were made, the model requires
calibration to experimental data using different calibration methods. An
optimal calibration procedure is found that minimizes experimental
effort while maximizing scalability. The model was tested on various
liquid-phase compositions, and it was found to reproduce experimental
data accurately. However, the model cannot reproduce flow regime changes
and does not perform well outside the calibrated concentration. The
study shows that the applied 1D multifluid populations balance approach
is a valuable and reliable tool in multiphase reactor scale-up and
optimization.