Toggle Main Menu Toggle Search

Open Access padlockePrints

Dynamic modelling based on surface renewal theory, model validation and process analysis of rotating packed bed absorber for carbon capture

Lookup NU author(s): Professor Jonathan LeeORCiD, Dr James HendryORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

Rotating packed beds can reduce the equipment size and costs in solvent-based carbon capture. However, difficulties are encountered when modelling rotating packed beds due to turbulent fluid flows inside rotating packed beds and the cross-sectional area of mass transfer unit that changes with radius. This study aims to develop a validated dynamic model of a rotating packed bed absorber and to carry out process analysis through steady state and dynamic simulations. Innovatively, the dynamic model was developed based on surface renewal theory for mass transfer. The model can calculate distributed mass transfer coefficients and other key variables related with absorption performance. Experiments were carried out and new experimental data for the rotating packed bed absorber under realistic operating conditions were obtained for model validation. Process analysis about the effects of key operational variables such as rotating speed, liquid-gas ratio and solvent concentration on absorption performance was performed with benchmark MEA solvent. It was found that the optimal MEA concentration is around 70 wt%. Dynamic simulation results reveal that the RPB absorber has fast responses for process changes. This new distributed dynamic model and the insights obtained through process simulation will promote rotating packed bed technology towards its industrial deployment in large scale carbon capture processes.


Publication metadata

Author(s): Luo X, Wang M, Lee J, Hendry J

Publication type: Article

Publication status: Published

Journal: Applied Energy

Year: 2021

Volume: 301

Issue: 2

Print publication date: 01/11/2021

Online publication date: 29/07/2021

Acceptance date: 18/01/2021

Date deposited: 25/11/2024

ISSN (print): 0306-2619

ISSN (electronic): 1872-9118

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.apenergy.2021.117462

DOI: 10.1016/j.apenergy.2021.117462


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
EP/M001458/2
Engineering and Physical Science Research Council
EP/N024672/1

Share