Journal
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
Volume -, Issue -, Pages -Publisher
WILEY
DOI: 10.1002/cjce.24932
Keywords
CFD; CO2 capture; HiGee technology; machine learning; process intensification; rotating packed bed
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This paper reviews the application of rotating packed beds (RPBs) in the CO2 capture process and discusses their geometric designs, hydrodynamic characteristics, performance parameters, and their effects on CO2 removal efficiency. Additionally, the latest experimental studies in the absorption and adsorption domains are summarized, and recommendations are given to support the use of RPBs in various industrial and commercial CO2 removal applications.
Over the last decades, renewable and clean energy sources are being rigorously adopted along with carbon capture technologies to tackle the increasing carbon dioxide (CO2) concentration level in the environment. CO2 capture is a quintessential option for tackling global warming issues. In this context, the present paper has reviewed the process intensification equipment called a rotating packed bed (RPB), which is highly industry applicable due to high gravity (HiGee) force. This facilitates strong mass transfer characteristics, a compact design, and low energy consumption. In this review, the current research scenario of RPBs using numerical, computational fluid dynamics (CFD), and mathematical modelling, along with different machine learning approaches in the CO2 capture process, has been reviewed. The different geometry designs, hydrodynamic characteristics, performance parameters, research methods, and their effects on CO2 removal efficiency have been discussed. Furthermore, the latest experimental studies are also summarized, especially in the absorption and adsorption domain. Finally, recommendations have been given to support the RPBs in different industrial and commercial applications of CO2 removal.
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