Disjunctive model for the simultaneous optimization and heat integration with unclassified streams and area estimation

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Título: Disjunctive model for the simultaneous optimization and heat integration with unclassified streams and area estimation
Autor/es: Quirante, Natalia | Grossmann, Ignacio E. | 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: Simultaneous optimization | Heat integration | Variable temperatures | Disjunctive model | Unclassified streams
Área/s de conocimiento: Ingeniería Química
Fecha de publicación: 4-ene-2018
Editor: Elsevier
Cita bibliográfica: Computers & Chemical Engineering. 2018, 108: 217-231. doi:10.1016/j.compchemeng.2017.09.013
Resumen: In this paper, we propose a disjunctive formulation for the simultaneous chemical process optimization and heat integration with unclassified process streams –streams that cannot be classified a priori as hot or cold streams and whose final classification depend on the process operating conditions–, variable inlet and outlet temperatures, variable flow rates, isothermal process streams, and the possibility of using different utilities. The paper also presents an extension to allow area estimation assuming vertical heat transfer. The model takes advantage of the disjunctive formulation of the ‘max’ operator to explicitly determine all the ‘kink’ points on the hot and cold balanced composite curves and uses an implicit ordering for determining adjacent points in the balanced composite curves for area estimation. The numerical performance of the proposed approach is illustrated with four case studies. Results show that the novel disjunctive model of the pinch location method has excellent numerical performance, even in large-scale models.
Patrocinador/es: The authors gratefully acknowledge the financial support by the Ministry of Economy, Industry, and Competitiveness of Spain (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/10045/69868
ISSN: 0098-1354 (Print) | 1873-4375 (Online)
DOI: 10.1016/j.compchemeng.2017.09.013
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2017 Elsevier Ltd.
Revisión científica: si
Versión del editor: http://dx.doi.org/10.1016/j.compchemeng.2017.09.013
Aparece en las colecciones:INV - CONCEPT - Artículos de Revistas

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