A systematic and efficient method for the rigorous design of complex chemical processes is significant in the chemical industry. In this paper, a superstructure-based optimization approach for the rigorous and simultaneous design of reaction and separation processes using generalized disjunctive programming (GDP) models is presented. In the reactor network, disjunctions for conditional reactors are introduced where the balance and reaction kinetic equations are applied only if the reactor is selected. Based on the proposed reactor disjunctions, two different reactor superstructures are developed and employed. In addition, the GDP representation of distillation columns is used to model the separation network. The reliability and efficiency of the proposed optimization method are demonstrated on two case studies, i.e., one cyclohexane oxidation process and one benzene chlorination process. The flowsheet structure and process-unit operating conditions are simultaneously optimized to minimize the total annual cost of the processes.

严格设计复杂化学过程的系统有效方法在化学工业中具有重要意义。在本文中，提出了一种基于上层结构的优化方法，用于使用广义析取规划（GDP）模型对反应和分离过程进行严格和同时的设计。在反应堆网络中，引入了条件反应堆的分离，其中仅在选择反应堆时才应用平衡和反应动力学方程式。基于拟议的反应堆分离，开发并采用了两种不同的反应堆上部结构。此外，蒸馏塔的GDP表示用于建模分离网络。在两个案例研究中证明了所提出的优化方法的可靠性和效率。一环己烷氧化工艺和一苯氯化工艺。同时优化流程图的结构和过程单元的运行条件，以使过程的年度总成本降至最低。