Multiperiod Optimization Model for Synthesis, Design and Operation of Noncontinuous Plants

GABRIELA CORSANO; JORGE M. MONTAGNA; PÍO A. AGUIRRE; OSCAR A. IRIBARREN

Gramado

Congreso; International Symposium on Advanced Control of Chemical Processes; 2006

In this paper, a general multiperiod nonlinear optimization model is presented, which incorporates synthesis, design, and operation, and takes into account the corresponding benefits and costs in each time period. The model is formulated as a non linear programming (NLP) model in which plant structure decisions are modeled in terms of a superstructure embedded in the overall model. This approach is novel since it involves new decision variables, integrates algebraic and differential equations, and solves a NLP problem even when discrete decisions are involved. The proposed model is applied to a Brandy production plant with high detail level in the operations description. The optimal solution is found and different tradeoffs between process and design variables are assessed.