Hybrid simulation-equation based synthesis of chemical processes
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http://hdl.handle.net/10045/74240
Título: | Hybrid simulation-equation based synthesis of chemical processes |
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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 | MINLP | Kriging algorithm | Vinyl chloride monomer process |
Área/s de conocimiento: | Ingeniería Química |
Fecha de publicación: | abr-2018 |
Editor: | Elsevier |
Cita bibliográfica: | Chemical Engineering Research and Design. 2018, 132: 766-784. doi:10.1016/j.cherd.2018.02.032 |
Resumen: | A challenging problem in the synthesis and design of chemical processes consists of dealing with hybrid models involving process simulators and explicit constraints. Some unit operations in modular process simulators are slightly noisy or require large CPU times to converge. In this work, this problem is addressed by combining process simulators and surrogate models. We have replaced some unit operations, which cannot be used directly with a gradient-based optimization, by surrogate models based on Kriging interpolation. To increase the robustness of the resulting optimization model, we perform a degree of freedom analysis and aggregate (or disaggregate) parts of the model to reduce the number of independent variables of the Kriging surrogate models (KSMs). Thus, the final model is composed of KSMs, unit operations (maintained in the process simulator) and also explicit equations. The optimization of the well-known vinyl chloride monomer (VCM) production process is performed to test the proposed approach. The effect of the heat integration is also studied. In addition, the economic feasibility of the optimized process is calculated assuming uncertainty in raw material and product prices. |
Patrocinador/es: | The authors gratefully acknowledge the financial support by the Ministry of Economy and Competitiveness from Spain, under the project CTQ2016-77968-C3-02-P (AEI/FEDER, UE), and Call 2013 National Sub-Program for Training, Grants for pre-doctoral contracts for doctoral training (BES-2013-064791). |
URI: | http://hdl.handle.net/10045/74240 |
ISSN: | 0263-8762 (Print) | 1744-3563 (Online) |
DOI: | 10.1016/j.cherd.2018.02.032 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2018 Institution of Chemical Engineers. Published by Elsevier B.V. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.cherd.2018.02.032 |
Aparece en las colecciones: | INV - CONCEPT - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2018_Quirante_etal_ChERD_final.pdf | Versión final (acceso restringido) | 2,52 MB | Adobe PDF | Abrir Solicitar una copia |
2018_Quirante_etal_ChERD_accepted.pdf | Accepted Manuscript (acceso abierto) | 1,38 MB | Adobe PDF | Abrir Vista previa |
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