Optimization of Chemical Processes Using Surrogate Models Based on a Kriging Interpolation

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Title: Optimization of Chemical Processes Using Surrogate Models Based on a Kriging Interpolation
Authors: Quirante, Natalia | Javaloyes Antón, Juan | Ruiz-Femenia, Rubén | Caballero, José A.
Research Group/s: Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Química
Keywords: Process optimization | Design | Kriging algorithm | Modular simulators
Knowledge Area: Ingeniería Química
Issue Date: 2015
Publisher: Elsevier
Citation: Computer Aided Chemical Engineering. 2015, 37: 179-184. doi:10.1016/B978-0-444-63578-5.50025-6
Abstract: Superstructure approaches are the solution to the difficult problem which involves the rigorous economic design of a distillation column. These methods require complex initialization procedures and they are hard to solve. For this reason, these methods have not been extensively used. In this work, we present a methodology for the rigorous optimization of chemical processes implemented on a commercial simulator using surrogate models based on a kriging interpolation. Several examples were studied, but in this paper, we perform the optimization of a superstructure for a non-sharp separation to show the efficiency and effectiveness of the method. Noteworthy that it is possible to get surrogate models accurate enough with up to seven degrees of freedom.
Sponsor: The authors with to acknowledge the financial support by the Ministry of Economy and Competitiveness from Spain, under the project CTQ2012-37039-C02-02.
URI: http://hdl.handle.net/10045/52996
ISSN: 1570-7946
DOI: 10.1016/B978-0-444-63578-5.50025-6
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2015 Elsevier B.V.
Peer Review: si
Publisher version: http://dx.doi.org/10.1016/B978-0-444-63578-5.50025-6
Appears in Collections:INV - CONCEPT - Artículos de Revistas

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