CO₂ Absorption in countercurrent rotating packed bed with Monoethanolamine: Experimental insights and scaling using GenAI

CO₂ Absorption in countercurrent rotating packed bed with Monoethanolamine: Experimental insights and scaling using GenAI

Mohammadu Bello DANBATTA, Nasser Ahmed AL-AZRI, Muhammad Abdul QYYUM, Nabeel AL-RAWAHI

Abstract. This study presents experimental investigation into CO₂ absorption using Monoethanolamine (MEA) in a countercurrent Rotating Packed Bed (RPB) system. The high-gravity field created by RPB operation significantly intensifies mass transfer, offering a compact and efficient solution for post-combustion CO₂ capture. Data collected across a range of operational parameters show marked improvements in CO₂ removal efficiency, to 93% at liquid flowrate of 85(mL/min), gas flowrate of 5(L/min), inlet CO2 concentration of 10%, MEA concentration of 30%wt and rotating speed of 1200 revolution per minute, with minimal pressure drop and stable temperature operation. Key performance indicators such as Number of Transfer Units, gravity factor, and absorption efficiency were analyzed as functions of rotational speed and CO₂ outlet concentrations. These experimental results demonstrate the potential of countercurrent RPBs for industrial CO₂ separation. Moreover, we explore how Generative AI (GenAI) frameworks can be utilized to extrapolate and simulate the performance of RPB systems across varying solvents, operating conditions, and scales. The integration of experimental data with AI-driven modeling offers a pathway for rapid scenario analysis, design optimization, and deployment planning in carbon capture technologies. Providing insights to both the empirical findings and a roadmap for leveraging GenAI to accelerate the development and scale-up of solvent-based separation processes, with a particular focus on supporting net-zero goals and industrial de-carbonization efforts.

Keywords
CO₂ Capture, Rotating Packed Bed, MEA, Process Intensification, Generative AI, Carbon Capture and Storage

Published online 6/20/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Mohammadu Bello DANBATTA, Nasser Ahmed AL-AZRI, Muhammad Abdul QYYUM, Nabeel AL-RAWAHI, CO₂ Absorption in countercurrent rotating packed bed with Monoethanolamine: Experimental insights and scaling using GenAI, Materials Research Proceedings, Vol. 67, pp 164-171, 2026

DOI: https://doi.org/10.21741/9781644904176-23

The article was published as article 23 of the book Climate Action and Sustainability

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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