INVESTIGADORES
MARCHETTI Pablo Andres
capítulos de libros
Título:
A Multiproduct Feedstock Optimization Model for Polymer Production
Autor/es:
PABLO A. MARCHETTI; IGNACIO E. GROSSMANN; WILEY BUCEY; RITA A. MAJEWSKI
Libro:
Computer-Aided Chemical Engineering
Editorial:
Elsevier B.V.
Referencias:
Lugar: Oxford; Año: 2013; p. 583 - 588
Resumen:
In this work a nonlinear mathematical programming model seeking the optimal balance of feedstocks to manufacture multiple polymer grades in a polypropylene production facility is described. To obtain the best possible return on assets, this type of continuous plant usually operates at maximum capacity while attempting to reduce the production costs. The main units of the process are a distillation column and a polymerization reactor, for which approximate but practically accurate process models were developed. Both a single and multiple product formulations are presented. The latter determines the optimal operating conditions for a given schedule of products, which includes several demands on different product families. By selecting the flowrates of the available feedstocks (refinery and chemical grade) with the production rates of each product, the proposed method seeks the minimum production cost that maximizes the plant throughput. The tradeoff between feedstocks costs and production rates is analyzed by solving the model with different time horizons, and also an additional ?slack? product is considered to investigate the implication of having some extra production when the schedule finishes earlier. The proposed formulation with a user-friendly interface is being deployed to assist with purchase decisions.