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Multi-objective optimization of sustainable extractive dividing-wall column process for separating methanol and trimethoxysilane azeotrope mixture
Chemical Engineering and Processing: Process Intensification ( IF 3.8 ) Pub Date : 2022-09-17 , DOI: 10.1016/j.cep.2022.109141
Qiaoting He , Qiao Li , Yunfei Tan , Lichun Dong , Zemin Feng

The design and optimization of distillation process for separating azeotropes has attracted extensive attentions in decades. Currently, due to the high emphasis on environmental and social effect, it is necessary to incorporate relevant criteria into the objective function in addition to the economic indicators for approaching a more sustainable process. This paper aims to improve the process for separating the azeotropic mixture of methanol and trimethoxysilane via multi-objective optimization based on NSGA-II. Firstly, the performance of three processes, i.e., pressure-swing distillation, extractive distillation, and extractive dividing wall column (EDWC) distillation, is optimized and compared by using total annual cost (TAC) as the objective function, demonstrating that the EDWC distillation process is the preferred process. Subsequently, a heat pump assisted EDWC process (HP-EDWC) is proposed, and the multi-objective optimization is carried out based on NSGA-II algorithm with three criteria including TAC, carbon emission, and the thermodynamic efficiency, to obtain a set of Pareto solutions, which are then evaluated by using a multi-criteria decision-making method of TOPSIS to give the optimal solution. As a result, the values of TAC, carbon emission, and thermodynamic efficiency of the optimal HP-EDWC process are 90.30×104 $/year, 501.07 kg/h, and 26.02%, respectively.



中文翻译:

分离甲醇和三甲氧基硅烷共沸混合物的可持续萃取间壁塔工艺多目标优化

分离共沸物的精馏工艺的设计与优化几十年来一直受到广泛关注。目前,由于对环境和社会影响的高度重视,除了经济指标外,还需要将相关标准纳入目标函数,以接近更可持续的过程。本文旨在通过基于NSGA-II的多目标优化改进甲醇与三甲氧基硅烷共沸混合物的分离工艺。首先,以年总成本(TAC)为目标函数,对变压精馏、萃取精馏和萃取间壁塔(EDWC)精馏三个工艺的性能进行优化和比较,证明EDWC精馏工艺是首选工艺。随后,提出了一种热泵辅助EDWC过程(HP-EDWC),基于NSGA-II算法以TAC、碳排放和热力效率三个准则进行多目标优化,得到一组Pareto解, 然后使用 TOPSIS 的多准则决策方法对其进行评估, 以给出最优解。因此,最优 HP-EDWC 工艺的 TAC、碳排放和热力学效率值为 90.30×10 然后使用TOPSIS的多准则决策方法对其进行评估,以给出最优解。因此,最优 HP-EDWC 工艺的 TAC、碳排放和热力学效率值为 90.30×10 然后使用TOPSIS的多准则决策方法对其进行评估,以给出最优解。因此,最优 HP-EDWC 工艺的 TAC、碳排放和热力学效率值为 90.30×10分别为4美元/年、501.07 千克/小时和 26.02%。

更新日期:2022-09-17
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