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...

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Published in:Computers & chemical engineering Vol. 136; p. 106808
Main Authors: Mencarelli, Luca, Chen, Qi, Pagot, Alexandre, Grossmann, Ignacio E.
Format: Journal Article
Language:English
Published: Elsevier Ltd 08.05.2020
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ISSN:0098-1354, 1873-4375
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Abstract •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.
AbstractList 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.
•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.
ArticleNumber 106808
Author Chen, Qi
Pagot, Alexandre
Grossmann, Ignacio E.
Mencarelli, Luca
Author_xml – sequence: 1
  givenname: Luca
  surname: Mencarelli
  fullname: Mencarelli, Luca
  email: luca.mencarelli.home@gmail.com
  organization: IFP Energies nouvelles, Solaize, France
– sequence: 2
  givenname: Qi
  surname: Chen
  fullname: Chen, Qi
  email: qichen@andrew.cmu.edu
  organization: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh
– sequence: 3
  givenname: Alexandre
  surname: Pagot
  fullname: Pagot, Alexandre
  email: alexandre.pagot@ifpen.fr
  organization: IFP Energies nouvelles, Solaize, France
– sequence: 4
  givenname: Ignacio E.
  surname: Grossmann
  fullname: Grossmann, Ignacio E.
  email: grossmann@cmu.edu
  organization: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh
BackLink https://ifp.hal.science/hal-02551342$$DView record in HAL
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Keywords Process systems engineering
Superstructure optimization
Process synthesis
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Snippet •Critical review of state-of-the-art in superstructure-based process synthesis.•Tools and methods for superstructure generation.•Superstructure representation...
In this paper, we survey the main superstructure-based approaches in process system engineering, with a particular emphasis on the existing literature for...
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SubjectTerms Chemical and Process Engineering
Engineering Sciences
Process synthesis
Process systems engineering
Superstructure optimization
Title A review on superstructure optimization approaches in process system engineering
URI https://dx.doi.org/10.1016/j.compchemeng.2020.106808
https://ifp.hal.science/hal-02551342
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