A mathematical model entitled varying‐bubble model (V‐BM) was adapted to simulate a slurry bubble‐column reactor, operating in a churn‐turbulent regime, based on an axial‐dispersion model. This model was theoretically able to estimate the size of forming bubbles at the sparger, variations of each chemical species and catalyst concentration, pressure drop in both gas and liquid phases, change in size and rising velocity of bubbles, as well as gas holdup and specific gas‐liquid interfacial area along the reactor axis. A comparison between the V‐BM and single‐bubble model (S‐BM) indicates that the V‐BM is better compatible with the experimental data. The results demonstrate that the contribution of mass transfer is much more than the pressure drop in increasing the size of the bubble along the reactor.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.