As a general chemical process simulation system,Aspen Plus has been widely used in simula-tion,design and optimization of chemical processes.As the need for complex process optimization increa-ses,Aspen Plus's built-in sensitivity analysis is no longer sufficient.Therefore,it is necessary to in-tegrate Aspen Plus with optimization algorithms for solving complex optimization problems.In the Python environment,the control and data transmission of the Aspen Plus process simulation are realized,and a process optimization system is developed on this basis,which can easily integrate various optimization al-gorithms to solve optimization problems with different characteristics.Using theunivariate search tech-nique to optimize the double-column variable pressure distillation of methanol-acetone azeotropic system with the annual total cost as the target function,the optimization of different variables and different se-quences is flexibly realized,and the expected effects are achieved and the process development efficiency is improved.
NETL
NSTL
万方数据
