A green approach to CO2 capture using fly ash-based catalysts: Performance and mechanistic insights
Rui Zhang, Lianghong Zhou, Ting Li, Yingjie Niu, Haonan Liu, Ruqi Xiao, Chao’en Li, Francesco Barzagli
Xiangtan University Institute for the Chemistry of OrganoMetallic Compounds National Research Council
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摘要与影响
• Fly ash functionalized with Fe 2 O 3 and Al 2 O 3 to catalyze CCUS desorption process. • Functionalized fly ash reduced energy consumption by 43.6% in desorption. • Machine learning analyzed key catalyst features and their SHAP values. • Experiments confirmed the catalyst features highlighted by machine learning. • Acid and basic sites on functionalized fly ash synergistically enhance CO 2 release. Fly ash (FA), an abundant industrial by-product, has emerged as a promising catalyst for regenerating liquid sorbents used in CO 2 capture, significantly reducing the overall energy consumption of the process. Considering that the primary metal oxides in FA − Fe 2 O 3 and Al 2 O 3 − provide Brønsted and Lewis acid sites critical for enhancing CO 2 release, this study explores the development of modified catalysts by loading additional amounts of these metal oxides onto FA (resulting in Fe 2 O 3 -FA and Al 2 O 3 -FA), aiming to further improve FA-catalyzed CO 2 desorption. The performance of these catalysts was examined in desorption of a CO 2 -loaded MEA solution, focusing on key metrics such as CO 2 desorption rate, cyclic capacity and heat duty. Our findings indicate that modifying FA with metal oxides increases its surface acidity (both Brønsted and Lewis) and optimizes acid/alkali strength. Among the catalysts tested, Al 2 O 3 -FA exhibited superior performance, achieving a higher CO 2 desorption rate, greater cyclic capacity, and lower heat duty compared to Fe 2 O 3 -FA, unmodified Al 2 O 3 and FA, and the uncatalyzed system. Additionally, the stability of Al 2 O 3 -FA was confirmed over 20 continuous repetitions of CO 2 capture and desorption, finding no significant alteration in catalytic activity or material structure (as confirmed by FT-IR and XRD characterization) after prolonged use. The machine learning also was used to correlate the catalysts features and performance while the importance of each feature was identified. Finally, a potential catalytic reaction mechanism is proposed, involving the deprotonation of MEAH + and decomposition of MEACOO − , both of which synergistically enhance CO 2 desorption during sorbent regeneration process.
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工程Carbon Dioxide Capture Technologies
Industrial Gas Emission Control · CO2 Sequestration and Geologic Interactions
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