High accuracy prediction of the post-combustion carbon capture process parameters using the Decision Forest approach

Wang, Xin; Chan, Christine W.; Li, Tianci

doi:10.1016/j.ces.2024.119878

Cited by 4 publications

(1 citation statement)

References 39 publications

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“…Tiwari et al (2022) Reviewed the properties and performance of absorbents for efficient CO2 capture, proposing a strategy for development and selection. Wang et al (2024) Proposed high accuracy prediction of postcombustion carbon capture process parameters using the Decision Forest approach. Zang et al ( 2024) Investigated the amine-resin matching strategy for CO2 capture, conducting adsorption performance tests and mechanistic investigation.…”

Section: Introductionmentioning

confidence: 99%

Comparative Assessment of Amine-Based Absorption and Calcium Looping Techniques for Optimizing Energy Efficiency in Post-Combustion Carbon Capture

2024

Global NEST Journal

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<p>The escalating levels of atmospheric CO2 have underscored the necessity for developing effective carbon capture and storage (CCS) technologies. This study investigates the advancements in post-combustion CO2 capture technologies, specifically examining the efficiency of amine-based absorption and calcium looping methods. Amine absorbents were synthesized using three amino acids—Lysine, Alanine, and Arginine—supplemented with and without NaOH/KOH additives. Absorption trials were conducted in a bench-scale column across a range of temperatures. The calcium looping process involved repeated carbonation and calcination cycles using CaO to capture and release CO2. A statistical analysis employing ANOVA, was utilized to determine the influence of variables such as amine concentration, base concentration, and temperature on the efficiency of CO2 absorption. The study found that Lysine-based absorbents, adding NaOH, achieved a CO2 capture rate of up to 75% at a temperature of 30°C. Additionally, the calcium looping method exhibited consistent cyclic capacities for over 25 cycles, with a regeneration energy requirement estimated at 3.5 GJ/ton of CO2. While the amine-based systems demonstrated higher capture rates, they also required significant energy for solvent regeneration. The statistical analysis confirmed that amine concentration, base concentration, and temperature are critical factors influencing the efficiency of CO2 absorption. The findings of this study underscore the potential of optimized amine solutions and calcium looping as viable strategies for post-combustion CO2 capture, contributing valuable insights that promote sustainable practices in climate change mitigation.</p>

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Section: Introductionmentioning

confidence: 99%

Comparative Assessment of Amine-Based Absorption and Calcium Looping Techniques for Optimizing Energy Efficiency in Post-Combustion Carbon Capture

2024

Global NEST Journal

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Online Control and Optimization for Conventional and Emerging Carbon Capture Systems

Patrón,

Ricardez-Sandoval

2024

Reference Module in Materials Science and Materials Engineering

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Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals

Mohammadi,

Larestani,

Schaffie

et al. 2024

Sci Rep

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High accuracy prediction of the post-combustion carbon capture process parameters using the Decision Forest approach

Cited by 4 publications

References 39 publications

Comparative Assessment of Amine-Based Absorption and Calcium Looping Techniques for Optimizing Energy Efficiency in Post-Combustion Carbon Capture

Comparative Assessment of Amine-Based Absorption and Calcium Looping Techniques for Optimizing Energy Efficiency in Post-Combustion Carbon Capture

Online Control and Optimization for Conventional and Emerging Carbon Capture Systems

Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals

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