基于模块模拟器的多目标过程综合解算策略

多目标过程综合可归结为一个多目标混合整数非线性规划(MOMINLP)的求解，求解难度较大，以往研究所采用的过程模型多为基于方程的简化模型，难以指导复杂过程的最优设计。在模块模拟器Aspen Plus上建立了一个基于多目标遗传算法的过程综合求解策略，该策略包括3个层次，即模拟层、综合层和决策层。3个层次间通过接口程序进行数据和信息传递。对模拟计算错误进行了处理，避免影响优化结果。实例表明三层次求解策略适用性强，所得结果能够反映过程的本质规律，可为设计符合可持续发展的过程系统提供依据。

Strategy of multi-objective process synthesis based on modular simulator

Multi-objective process synthesis can be described as a multi-objective mixed-integer nonlinear programming (MOMINLP) which is difficult to solve.The process model is often based on simplified equations in the past studies, so the calculation results can not be directly used to design a complex process.A three-layer solution strategy for multi-objective synthesis based on multi-objective genetic algorithm (MOGA) in modular simulator Aspen Plus is proposed.The strategy includes simulation layer, synthesis layer and decision layer.Interface is designed to transfer data and information among three layers.The simulation mistakes are treated to avoid influencing the optimization results.A case study showed high suitability of the strategy.The results could reflect the nature of the process and could be used to design the process that meets sustainable development.