A comparison of process synthesis approaches for multistage separation processes by gas permeation

Thibaut Neveux (1) , Bernardetta Addis (2) , Christophe Castel (3) , Veronica Piccialli (4) , Eric Favre (3)

1 EDF R&D LNHE - Laboratoire National d’Hydraulique et Environnement
2 OPTIMIST - OPTImisation Methods for Integrated SysTems
3 LRGP - Laboratoire Réactions et Génie des Procédés
4 Università degli Studi di Roma Tor Vergata [Roma] = University of Rome Tor Vergata

Various optimization-based process synthesis approaches exist to propose a process structure and associated parameters, which have been applied on many applications. The goal of this work is to provide a comparison of methods on a common process synthesis problem. Three methods are compared on an identical test problem, they differ in the synthesis approach (based on a superstructure or generative without predefined structures), process modelling (equation-or simulator-based), optimization algorithms (global NLP, MINLP, evolutionary) and implementation (dedicated or commercial programs). Results especially highlight the importance of the search space definition, and the need for accurate process models during the synthesis step.

Mots clés: Process Synthesis; Separation processes; Generative approach; Superstructure

Domaines: Génie chimique; Génie des procédés

Thibaut Neveux, Bernardetta Addis, Christophe Castel, Veronica Piccialli, Eric Favre. A comparison of process synthesis approaches for multistage separation processes by gas permeation. ESCAPE 32, 2022, Toulouse, France. pp.685-690, ⟨10.1016/B978-0-323-95879-0.50115-6⟩. ⟨hal-04081460⟩