Rigorous design of distillation columns using surrogate models based on Kriging interpolation
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Título: | Rigorous design of distillation columns using surrogate models based on Kriging interpolation |
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Autor/es: | Quirante, Natalia | Javaloyes-Antón, Juan | Caballero, José A. |
Grupo/s de investigación o GITE: | Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Química | Universidad de Alicante. Instituto Universitario de Ingeniería de los Procesos Químicos |
Palabras clave: | Simulation | Optimization | Design (distillation columns) | Kriging algorithm | Mathematical modeling |
Área/s de conocimiento: | Ingeniería Química |
Fecha de publicación: | jul-2015 |
Editor: | Wiley |
Cita bibliográfica: | AIChE Journal. 2015, 61(7): 2169-2187. doi:10.1002/aic.14798 |
Resumen: | The economic design of a distillation column or distillation sequences is a challenging problem that has been addressed by superstructure approaches. However, these methods have not been widely used because they lead to mixed-integer nonlinear programs that are hard to solve, and require complex initialization procedures. In this article, we propose to address this challenging problem by substituting the distillation columns by Kriging-based surrogate models generated via state of the art distillation models. We study different columns with increasing difficulty, and show that it is possible to get accurate Kriging-based surrogate models. The optimization strategy ensures that convergence to a local optimum is guaranteed for numerical noise-free models. For distillation columns (slightly noisy systems), Karush–Kuhn–Tucker optimality conditions cannot be tested directly on the actual model, but still we can guarantee a local minimum in a trust region of the surrogate model that contains the actual local minimum. |
Patrocinador/es: | The authors gratefully acknowledge the financial support of the Ministry of Economy and Competitiveness of Spain, under the project CTQ2012-37039-C02-02. |
URI: | http://hdl.handle.net/10045/47691 |
ISSN: | 0001-1541 (Print) | 1547-5905 (Online) |
DOI: | 10.1002/aic.14798 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2015 American Institute of Chemical Engineers |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1002/aic.14798 |
Aparece en las colecciones: | INV - CONCEPT - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2015_Quirante_etal_AIChE-Journal_final.pdf | Versión final (acceso restringido) | 563,89 kB | Adobe PDF | Abrir Solicitar una copia |
2015_Quirante_etal_AIChE-Journal_accepted.pdf | Accepted Manuscript (acceso abierto) | 2,55 MB | Adobe PDF | Abrir Vista previa |
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