Bi-objective optimization of post-combustion CO2 capture using methyldiethanolamine

International Journal of Greenhouse Gas Control(2023)

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摘要
•Multi-objective optimization of post-combustion CO2 absorption process was performed.•CO2 emissions were evaluated based on life cycle assessment (LCA).•Cost was evaluated from both operating and capital cost.•Random forest classifier and gaussian process regression were used for modeling.•Pareto solutions were predicted by genetic algorithm and verified by simulation.
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关键词
CO2 capture,Chemical absorption,Methyldiethanolamine,Multi-objective optimization,Machine learning,NSGA-II
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