Infinite-Dimensional State-Space (IDEAS) Approach to Globally Optimal Design of Distillation Networks Featuring Heat and Power Integration

Abstract

This work addresses the problem of synthesizing globally optimal distillation networks featuring heat and power integration. The problem is formulated within the infinite-dimensional state-space (IDEAS) conceptual framework, which accounts for all possible network alternatives and yields convex (linear) programming formulations. The method is illustrated on a case study involving the cryogenic separation of a nitrogen/oxygen mixture.