Simultaneous Synthesis and Design of Reaction–Separation–Recycle Processes Using Rigorous Models

Simultaneous synthesis and design of reaction–separation–recycle processes using rigorous models is highly desirable to improve process efficiency. However, it often leads a large-scale challenging optimization problem. In this work, we propose computationally efficient framework for the The reactor separator networks are modeled generalized disjunctive programming, which reformulated into nonconvex mixed-integer nonlinear programming (MINLP) formulation convex-hull method. To solve complex MINLP model, systematic solution approach proposed in an initialization strategy first generate feasible partially relaxed problem hybrid steady-state time-relaxation algorithm. A successive then adopted original model local optimality. computational results demonstrate that obtains better solutions with less effort, by ?1 order magnitude, than existing algorithms.