Optimization of distillation configurations for multicomponent-product distillations

•Allowing multicomponent products changes ranking of distillation configurations.•17 % energy savings predicted for industrial crude petroleum distillation.•Optimization model applicable for general multicomponent zeotropic distillations. Several optimization formulations exist in the literature for...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computers & chemical engineering 2024-05, Vol.184 (C), p.108628, Article 108628
Hauptverfasser: Mathew, Tony Joseph, Narayanan, Sundar, Jalan, Amrit, Matthews, Logan R., Gupta, Himanshu, Billimoria, Rustom, Pereira, Carla Sofia, Goheen, Chris, Tawarmalani, Mohit, Agrawal, Rakesh
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Allowing multicomponent products changes ranking of distillation configurations.•17 % energy savings predicted for industrial crude petroleum distillation.•Optimization model applicable for general multicomponent zeotropic distillations. Several optimization formulations exist in the literature for optimizing distillation configurations for unicomponent-product distillations (UPD), i.e., distillations where each product consists of only a single component. However, many separations either desire product streams composed of multiple components based on their end-use property requirements or tolerate such multicomponent products in exchange for savings in the objective, e.g., reductions in energy consumption. In this work, we propose an easy-to-use transformation that allows any UPD configuration to be used for multicomponent-product distillations (MPD) while controlling the composition of the product. This transformation is used in our optimization model to minimize the heat duty of MPD configurations derived from UPD for zeotropic separations. We apply this formulation to identify and rank energy-efficient configurations for an industrial crude petroleum case study, and show that the ordering of configurations on an energy efficiency basis is quite different using the MPD model compared to the UPD model.
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2024.108628