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Machine learning based techno-economic process optimisation for CO_(2) capture via enhanced weathering

Energy and AI 2023年第2期12卷 163-177页

作者： Hai Jiang Shuo Wang Lei Xing Valerie J.Pinfield Jin Xuan School of Chemistry and Chemical Engineering Jiangsu UniversityZhenjiang 212013China School of Mechanical Engineering Dalian University of TechnologyDalian 116024China Department of Chemical and Process Engineering University of SurreyGuildford GU27XHUK Department of Chemical Engineering Loughborough UniversityLoughborough LE113TUUK

This work evaluated the practicability and economy of the enhanced weathering(EW)-based CO_(2) capture in series packed bubble column(S-PBC)contactors operated with different process configurations and *** S-PBC contactors are designed to fully use the advantages of abundant seawater and highly efficient freshwater through a holistic M4 model,including multi-physics,machine learning,multi-variable and multiobjective *** economic analysis is then performed to investigate the cost of different S-PBC configurations.A data-driven surrogate model based on a novel machine learning algorithm,extended adaptive hybrid functions(E-AHF),is implemented and trained by the data generated by the physics-based *** and NSGA-II are applied to perform single-and multi-objective optimisation to achieve maximum CO_(2) capture rate(CR)and minimum energy consumption(EC)with the optimal values of eight design *** R2 for the prediction of CR and EC is higher than 0.96 and the relative errors are lower than 5%.The M4 model has proven to be an efficient way to perform multi-variable and multi-objective optimisation,that significantly reduces computational time and resources while maintaining high prediction *** trade-off of the maximum CR and minimum EC is presented by the Pareto front,with the optimal values of 0.1014 kg h−1 for CR and 6.1855 MJ kg−1 CO_(2) for *** calculated net cost of the most promising S-PBC configuration is around 400$t−1 CO_(2),which is about 100$t−1 CO_(2) lower than the net cost of current direct air capture(DAC),but compromised by slower CO_(2) capture rate.

关键词： enhanced weathering Series packed bubble column Data-driven model Multi-variable and multi-objective optimisation CO_(2)capture

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