A systematic procedure is proposed for the design of a pressure-swing distillation (PSD) process for a ternary mixture. This procedure involves thermodynamic insight, global optimization, and heat integration. The aim of thermodynamic insight is to analyze the process feasibility and find all of the possible separation sequences via residue curve maps and the distillation boundaries. The global optimization for a total of 16 variables in three columns is conducted by multiobjective genetic algorithm (MOGA) with economy and environmental impact as objectives. In heat integration, a four-step heat integration MOGA method was first proposed to optimize the heat-integrated PSD process and the optimally integrated heat duty was achieved. The separation of a methanol/tetrahydrofuran/water ternary mixture is employed to elucidate the effectiveness of the proposed procedure. An energy-saving heat-integrated PSD process is obtained, and the total annual cost and CO₂ emissions are reduced by 22.5 and 30.4% compared with the conventional PSD process.

中文翻译：

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多目标优化热集成变压蒸馏的经济和环境评价

提出了一种用于设计三元混合物的变压蒸馏 (PSD) 工艺的系统程序。此过程涉及热力学洞察、全局优化和热集成。热力学洞察的目的是分析工艺可行性并通过残渣曲线图和蒸馏边界找到所有可能的分离序列。以经济和环境影响为目标，采用多目标遗传算法（MOGA）对三列共16个变量进行全局优化。在热集成方面，首先提出了一种四步热集成MOGA方法来优化热集成PSD工艺，并实现了最佳集成热负荷。甲醇/四氢呋喃/水三元混合物的分离用于阐明所提出程序的有效性。得到了一种节能的热集成PSD工艺，年总成本和CO₂排放与传统PSD工艺相比分别减少22.5%和30.4%。