Enhancing Carbon Capture Efficiency through Rotating Packed Beds: A Study on the Impact of Solvent Selection and Mass Transfer Coefficients for Industrial Adoption in Carbon Mitigation

The pressing need for effective carbon dioxide capture solutions in the wake of climate change has catalyzed the exploration of innovative technologies and methodologies. This study investigates the utilization of Rotating Packed Bed systems to enhance the mass transfer coefficient for carbon dioxide absorption using various solvent types. Rotating Packed Bed offer a high-intensity, compact alternative to conventional packed columns, presenting an opportunity for significant advancements in carbon capture efficiency. By systematically analyzing different solvents within RPBs, this research evaluates their impact on mass transfer coefficient and the resultant carbon dioxide absorption efficacy. The findings underscore the potential of specific solvent- Rotating Packed Bed pairings to improve mass transfer rates, essential for achieving higher carbon dioxide loading and overall capture capacity. This work aligns with global climate action goals, promoting scalable solutions to meet the demands of the industry’s carbon mitigation strategies. Through a focus on both technological efficacy and practical implementation, this study provides critical insights for the adoption of Rotating Packed Bed technology, laying a foundation for its integration into industrial carbon capture systems.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-19
DOI
https://doi.org/10.1051/epjconf/202534304009/pdf
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
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article

Enhancing Carbon Capture Efficiency through Rotating Packed Beds: A Study on the Impact of Solvent Selection and Mass Transfer Coefficients for Industrial Adoption in Carbon Mitigation

Nasser Al-Azri, Muhammad Abdul Qyyum, Mohammadu Bello Danbatta, Nabeel Al-Rawahi
Springer Link (Chiba Institute of Technology)
Carbon Dioxide Capture Technologies
article

Enhancing Carbon Capture Efficiency through Rotating Packed Beds: A Study on the Impact of Solvent Selection and Mass Transfer Coefficients for Industrial Adoption in Carbon Mitigation

Nasser Al-Azri, Muhammad Abdul Qyyum, Mohammadu Bello Danbatta, Nabeel Al-Rawahi
article en

Abstract

The pressing need for effective carbon dioxide capture solutions in the wake of climate change has catalyzed the exploration of innovative technologies and methodologies. This study investigates the utilization of Rotating Packed Bed systems to enhance the mass transfer coefficient for carbon dioxide absorption using various solvent types. Rotating Packed Bed offer a high-intensity, compact alternative to conventional packed columns, presenting an opportunity for significant advancements in carbon capture efficiency. By systematically analyzing different solvents within RPBs, this research evaluates their impact on mass transfer coefficient and the resultant carbon dioxide absorption efficacy. The findings underscore the potential of specific solvent- Rotating Packed Bed pairings to improve mass transfer rates, essential for achieving higher carbon dioxide loading and overall capture capacity. This work aligns with global climate action goals, promoting scalable solutions to meet the demands of the industry’s carbon mitigation strategies. Through a focus on both technological efficacy and practical implementation, this study provides critical insights for the adoption of Rotating Packed Bed technology, laying a foundation for its integration into industrial carbon capture systems.

Springer Link (Chiba Institute of Technology)
Climate action
Openalex Percentile: Top 45%
Carbon Dioxide Capture Technologies
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Enhancing Carbon Capture Efficiency through Rotating Packed Beds: A Study on the Impact of Solvent Selection and Mass Transfer Coefficients for Industrial Adoption in Carbon Mitigation — Nasser Al-Azri, Muhammad Abdul Qyyum, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS