Simultaneous synthesis and design of integrated reaction-separation systems using rigorous models

Yingjie Ma, Aline El-Khoruy, Zekun Yang, Li Sun, Nan Zhang, Jie Li*, Xin Xiao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Simultaneous synthesis and design of integrated reaction-separation processes using rigorous models is highly desirable to improve process performance. However, it often leads to a large-scale highly nonlinear nonconvex mixed-integer nonlinear programming model, which is difficult to solve. In this work, we propose a computationally-efficient optimization framework for simultaneous synthesis and design using rigorous models. The reactor and separation network are modelled using generalized disjunctive programming (GDP), which is reformulated into a mixed-integer nonlinear programming model using the convex-hull method. The activeness and inactiveness of a tray in a distillation column is modelled using the bypass efficiency method without introduction of integer variables, leading to significant reduction in the number of integer variables. To solve the model to local optimality, a systematic solution approach is proposed in which the pseudo-transient continuation model is used to generate a good starting point for optimization. The complementary conditions are added step by step to avoid infeasibility and ensure bypass efficiency variables be 0 or 1 only. An example from literature is solved to illustrate the capacity of the proposed optimization framework. The computational results demonstrate that the proposed optimization framework generates the local optimal solution of 2.13 M$/year within 58 CPU seconds. Significant reduction in computational efforts by 85% and improvement in solution quality by 5% are achieved compared to the existing approach.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Foundations of Computer-Aided Process Design
EditorsSalvador Garcia Muñoz, Carl Laird, Matthew Realff
PublisherElsevier B.V.
Pages371-376
Number of pages6
Volume47
ISBN (Electronic)9780128185971
DOIs
Publication statusPublished - 31 Jul 2019
EventInternational Conference on Foundations of Computer-Aided Process Design - Copper Mountain, United States
Duration: 14 Jul 201918 Jul 2019
Conference number: 9
https://focapd.org/

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier B.V.
Volume47
ISSN (Print)1570-7946

Conference

ConferenceInternational Conference on Foundations of Computer-Aided Process Design
Abbreviated titleFOCAPD 2019
CountryUnited States
CityCopper Mountain
Period14/07/1918/07/19
Internet address

Keywords

  • Integrated reaction-separation system
  • Process synthesis and design
  • Rigorous models
  • Mixed-integer nonlinear programming
  • Disjunctive programming

Cite this

Ma, Y., El-Khoruy, A., Yang, Z., Sun, L., Zhang, N., Li, J., & Xiao, X. (2019). Simultaneous synthesis and design of integrated reaction-separation systems using rigorous models. In S. G. Muñoz, C. Laird, & M. Realff (Eds.), Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design (Vol. 47, pp. 371-376). (Computer Aided Chemical Engineering; Vol. 47). Elsevier B.V.. https://doi.org/10.1016/B978-0-12-818597-1.50059-X