In this paper we aim to develop a validated device‐scale CFD model that can predict quantitatively both hydrodynamics and CO2 capture efficiency for an amine‐based solvent absorber column with random Pall ring packing. A Eulerian porous‐media approach and a two‐fluid model were employed, in which the momentum and mass transfer equations were closed by literature‐based empirical closure models. We proposed a hierarchical approach for calibrating the parameters in the closure models to make them accurate for the packed column. Specifically, a parameter for momentum transfer in the closure was first calibrated based on data from a single experiment. With this calibrated parameter, a parameter in the closure for mass transfer was next calibrated under a single operating condition. Last, the closure of the wetting area was calibrated for each gas velocity at three different liquid flow rates. For each calibration, cross validations were pursued using the experimental data under operating conditions different from those used for calibrations. This hierarchical approach can be generally applied to develop validated device‐scale CFD models for different absorption columns. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd.

Materials exhibit different characteristics in different levels. Apparent behavior and properties of the material are based on actual measurements and they were studied by the traditional theorems and theories. The article studied a new method for material analysis--analysis of mechanics of disturbed materials based on theory of duality disturbance. For material in the any deformed state，a given material element can be treated as mixed state included RND( RND: Relatively Non-Disturbed) and RCD (RCD: Relatively Complete Disturbed). "Duality" state is made of references state of RND and RCD.[1-3] The apparent behavior of disturbing engineering materials use appropriate perturbation function to describe which connect with "duality".