Toward a Sustainable Azeotrope Separation of Acetonitrile/Water by the Synergy of Ionic Liquid-Based Extractive Distillation, Heat Integration, and Multiobjective Optimization,Industrial & Engineering Chemistry Research

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Toward a Sustainable Azeotrope Separation of Acetonitrile/Water by the Synergy of Ionic Liquid-Based Extractive Distillation, Heat Integration, and Multiobjective Optimization
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2022-07-02 , DOI: 10.1021/acs.iecr.2c01285
Lu Qi ₁ , Jinlong Li ₁ , Ao Yang ₂ , Xiuguang Yi ₃ , Weifeng Shen ₄

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The sustainable separation process for the recovery of acetonitrile from wastewater is essential to achieve the circular economy and environmental protection. In this work, we demonstrate systematically a methodology to develop an energy-efficient extractive distillation process for separating the acetonitrile and water azeotrope. First, the separation performances of candidate entrainers, i.e., ionic liquids (ILs) and ethylene glycol (EG), were determined using the residue curve maps. Second, the boundaries of decision variables for optimization procedures were obtained via the sensitivity analysis, and the nonsorting genetic algorithm (NSGA-II) was applied to get the optimal operating parameters of conventional and heat-integrated schemes using EG and three ILs. Third, three indicators including the total annual cost, gas emissions, and thermodynamic efficiency were used to evaluate the economic, environmental, and energy efficiency performances of conventional and intensified schemes. Using the conventional EG process as a basis, the heat-integrated scheme using [EMIM][OAC] shows the best performance as it gives the reductions of 26.3% and 22.1% in the total annual cost and gas emissions, respectively, and an absolute increase of 0.44 in the second-law efficiency.

中文翻译：

通过基于离子液体的萃取蒸馏、热集成和多目标优化的协同作用，实现乙腈/水的可持续共沸分离

从废水中回收乙腈的可持续分离工艺对于实现循环经济和环境保护至关重要。在这项工作中，我们系统地展示了一种方法来开发一种用于分离乙腈和水共沸物的节能萃取蒸馏工艺。首先，使用残留曲线图确定候选夹带剂（即离子液体 (ILs) 和乙二醇 (EG)）的分离性能。其次，通过敏感性分析获得优化程序决策变量的边界，并应用非排序遗传算法（NSGA-II）获得使用EG和三个ILs的常规和热集成方案的最佳操作参数。三、年度总成本、气体排放量、和热力学效率被用来评估传统和强化方案的经济、环境和能源效率性能。以传统的 EG 工艺为基础，使用 [EMIM][OAC] 的热集成方案表现出最佳性能，因为它分别减少了 26.3% 和 22.1% 的年总成本和气体排放量，绝对第二定律效率增加 0.44。

更新日期：2022-07-02

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