Table · dataset · 2026
Advanced CO<sub>2</sub> Capture from Flue Gas by Promoting Amine Solvent Regeneration Using Dual-Functional Graphitized Packing
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Amine-based CO<sub>2</sub> capture from flue gas provides a reliable approach for industrial emission reduction, but still suffers from a high energy penalty due to high-temperature regeneration.
Description
Catalytic amine solvent regeneration has emerged as an effective strategy to enhance the CO<sub>2</sub> reaction kinetics at mild temperatures. However, the current powder catalysts face challenges of heat transfer limitations and weak durability in the practical packing stripper.
Herein, we prepared a dual-functional stainless-steel packing with efficient heat transfer and catalytic activity through an <i>in situ</i> carbon modification strategy from an industrial perspective. The micron-thick graphitic carbon layer increases the heat conduction rate by 61.7%, while the active Fe sites (Fe–O–C) within the carbon layer reduce the energy barrier for CO<sub>2</sub> desorption by 36.5%. Moreover, the catalytic packing exhibits universal applicability for various amine solvents and excellent stability during a four-week hydrothermal experiment.
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The pilot-scale experiments (∼150 N m<sup>3</sup> h<sup>–1</sup> flue gas) demonstrate that the modified packing could reduce the energy consumption to as low as 2.18 GJ per tCO<sub>2</sub>, decreased by 28.8% compared to the blank case. The industrial-scale process simulation provides an efficient route for integration of low-grade waste-heat utilization and catalytic solvent regeneration, achieving a 49.4% reduction in the total operating cost of carbon capture (∼$16.2 per tCO<sub>2</sub>).
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Where it is published
- DOI doi.org/10.1021/acs.est.6c07676.s003 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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Topics
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- Astronomy & Astrophysics · Bioinformatics and computational biology · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Infectious diseases · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 19 field assertions
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