A review on superstructure optimization approaches in process system engineering

•Critical review of state-of-the-art in superstructure-based process synthesis.•Tools and methods for superstructure generation.•Superstructure representation impacts on algebraic modeling and optimization.•Comparison with superstructure-free (evolutionary) design strategies. In this paper, we surve...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Computers & chemical engineering Ročník 136; s. 106808
Hlavní autoři: Mencarelli, Luca, Chen, Qi, Pagot, Alexandre, Grossmann, Ignacio E.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 08.05.2020
Elsevier
Témata:
Chemical and Process Engineering
Engineering Sciences
Process synthesis
Process systems engineering
Superstructure optimization
Process systems engineering
Superstructure optimization
Process synthesis
ISSN:0098-1354, 1873-4375
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:•Critical review of state-of-the-art in superstructure-based process synthesis.•Tools and methods for superstructure generation.•Superstructure representation impacts on algebraic modeling and optimization.•Comparison with superstructure-free (evolutionary) design strategies. In this paper, we survey the main superstructure-based approaches in process system engineering, with a particular emphasis on the existing literature for automated superstructure generation. We examine both classical and more recent representations in terms of generality, ease of use, and tractability. We also discuss the implications that different representations may have on strategies for algebraic modeling and optimization. We then review the state-of-the-art in software implementations to support synthesis. Finally, we examine the use of evolutionary—recently referred to as superstructure-free—approaches, in which algorithmic procedures dynamically generate and evaluate candidate process structures.
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2020.106808