Retrofit Design of Chemical Processing Networks under Uncertainties: Application to Petrochemical Industry

摘要

Multiscenario retrofit design of petrochemical processing networks is addressed in this paper. The combinatorial framework developed for process network synthesis can be used to resolve the computational complexity of the retrofit design. Retrofit design of Korean petrochemical industries under product demand uncertainty illustrates the efficacy of the proposed algorithm. We obtain Pareto optimal solutions of two objectives, namely expected cost and worst-case cost. The robust optimal solution of retrofit design under uncertainty can be determined among the Pareto optimal solutions.