Abstract A multi-stage activated carbon impregnation system, with a special emphasis on solvent reuse, is introduced and optimized in this study. Experiments and modeling optimization are combined to simultaneously minimize the solute consumption and operating time for the system. The adsorption isotherm and kinetic models are well regressed based on a series of experiments on activated carbon impregnated in triethylene tetramine solution. A multi-objective nonlinear programming optimization framework is then formulated based on the regressed isotherm and kinetic models and material balance, including activated carbon, solute, water and impurities at each stage in the system. The AUGMECON method and global solver ANTIGONE are used to solve the challenging optimization problem, and the pareto optimal solutions are obtained. Additionally, a new dimensionless number is presented to further coordinate the operating parameters for the system. The result shows that the specific solute consumption and operating time are decreased by 65.11% and 85.88%, respectively.

中文翻译：

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多级活性炭浸渍系统：等温线、动力学和多目标建模优化

摘要 本研究介绍并优化了一种多级活性炭浸渍系统，特别强调溶剂的再利用。实验和建模优化相结合，同时最大限度地减少系统的溶质消耗和运行时间。基于在三亚乙基四胺溶液中浸渍的活性炭的一系列实验，吸附等温线和动力学模型得到了很好的回归。然后基于回归等温线和动力学模型以及材料平衡制定多目标非线性规划优化框架，包括系统中每个阶段的活性炭、溶质、水和杂质。使用AUGMECON方法和全局求解器ANTIGONE求解具有挑战性的优化问题，得到帕累托最优解。此外，提出了一个新的无量纲数，以进一步协调系统的运行参数。结果表明，比溶质消耗和运行时间分别减少了65.11%和85.88%。