Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Idelfonso B. R. Nogueira (Author) FEUP; Márcio A. F. Martins (Author) Other; Reiner Requião (Author) Other; Amanda R. Oliveira (Author) Other; Vinícius Viena (Author) Other; Hannu Koivisto (Author) Other; Alírio E. Rodrigues (Author) FEUP; José M. Loureiro (Author) FEUP; Ana M. Ribeiro (Author) FEUP

Journal

Title: Computers and Industrial Engineering

Vol. 135

Pages: 368-381

ISSN: 0360-8352

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 0 Citations

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Scopus - 8 Citations

Current Contents

INSPEC

Scientific classification

FOS: Engineering and technology > Chemical engineering

CORDIS: Technological sciences > Engineering > Chemical engineering

Associated Projects

LSRE-LCM - Laboratório de Processos de Separação e Reação - Laboratório de Catálise e Materiais

Other information

Authenticus ID: P-00Q-QEV

DOI: 10.1016/j.cie.2019.06.020

Abstract (EN): The optimization of Simulated Moving Bed units has become an important topic to be developed in this field. The present work proposes a novel methodology to optimize a True Moving Bed unit and draw the feasible operating region through a novel improved Self-Organizing Hierarchical Particle Swarm Optimization with Time-Varying Acceleration Coefficients and Mutable Searching Region, here called Sliding Particle Swarm Optimization, concomitantly with an adapted method to define the feasible operating region. Two main contributions can be highlighted, first the process optimization with its feasible operational regions, leading to better results when compared with the numerical optimization based on the equilibrium theory, second a new particle swarm method is presented which can deal more efficiently with multi local minima problems. Finally, the concept of feasible operating region concept is presented as a support tool for the process operation. Three different operational scenarios were simulated here in order to verify the consistence and efficiency of the methodology. The main advantage of the methodology here proposed is the possibility to tracking all the possible operating regime of the unit while meeting a given process requirement.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14