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A Combined Particle Swarm Optimization and Outer Approximation Optimization Strategy for the Optimal Design of Distillation Systems

Duanmu, F; Chia, DN; Sorensen, E; (2022) A Combined Particle Swarm Optimization and Outer Approximation Optimization Strategy for the Optimal Design of Distillation Systems. In: Computer Aided Chemical Engineering. (pp. 1315-1320). Elsevier

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Abstract

Distillation is by far the most important separation process in the chemical industries, but is also one of the most energy intensive units, thus significant efforts are being placed on optimizing the design and operation of both new and existing distillation systems to achieve potentially significant energy and/or capital savings. This work introduces an optimization strategy based on combining a preliminary stochastic optimization method, either Particle Swarm Optimization (PSO) or Genetic Algorithm (GA), which is used to perform a global search, with a deterministic optimization method, Outer Approximation method (OAERAP), for the local search. A dividing wall distillation column and a hybrid distillation/pervaporation superstructure is used to illustrate the methodology. The performance of stand-alone PSO, stand-alone GA, combined PSO/OAERAP and combined GA/OAERAP, are compared and it is shown that the PSO/OAERAP combination provides the optimal design in a significantly shorter time and can also optimize a superstructure efficiently. This work also presents the use of a parallel computing function when performing stochastic optimization, which significantly speeds up the optimization.

Type: Book chapter
Title: A Combined Particle Swarm Optimization and Outer Approximation Optimization Strategy for the Optimal Design of Distillation Systems
DOI: 10.1016/B978-0-323-85159-6.50219-0
Publisher version: https://doi.org/10.1016/B978-0-323-85159-6.50219-0
Language: English
Additional information: Particle Swarm Optimization, Parallel Computing, Distillation, Dividing Wall Column, Hybrid Distillatio
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10157440
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