PLANNING OF AN INTEGRATED PETROCHEMICAL COMPLEX USING SCMART

M. ROSSI, A. BANDONI

Rio de Janeiro, Brasil

Conferencia; ENPROMER 2005; 2005

The operation of a petrochemical complex (Schulz et. al, 2003) is optimized using a new optimization tool for planning and scheduling. In the present work, an integrated site section is optimized, with nine production plants and their logistics. This consists of two ethane fractionators, two ethylene crackers, four polyethylene reactors and one clorure vinyl monomer plant. The optimization model includes the integrated mass balance for the petrochemical pole supply chain. It is important to remark that all the plants are connected by pipeline and there are contracts with ?take or pay? and ?delivery or pay? clauses. This means that there are commercial obligations between them. The system has many constraints and restrictions as lack of raw material, lack of ethylene demand, lack of polyethylene demand, availability and seasonability due to lack of natural gas or raw material high prices. The resulting model is a mixed integer nonlinear programming (MINLP) problem. In this work we try to facilitate decision making/taking process for Supply Chain people, calculating variable costs for final products, and optimal ethane taking for a multiperiod problem. The problem is solved using Optience SCMart Suite (Optience Corporation). This tool uses an equation based modeling approach with state of the art optimization technology capable of solving from LPs to MINLPs. This optimization software solves the problem in the actual model formulation, without using ?recursive linearization? techniques and ensures a local optimal solution.