Water distribution networks optimization considering unknown flow directions and pipe diameters
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Título: | Water distribution networks optimization considering unknown flow directions and pipe diameters |
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Autor/es: | Caballero, José A. | Ravagnani, Mauro A.S.S. |
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: | Water distribution networks | Optimization | MINLP | Flow directions | Disjunctive programming |
Área/s de conocimiento: | Ingeniería Química |
Fecha de publicación: | 4-ago-2019 |
Editor: | Elsevier |
Cita bibliográfica: | Computers & Chemical Engineering. 2019, 127: 41-48. doi:10.1016/j.compchemeng.2019.05.017 |
Resumen: | Water Distribution Networks (WDN) are present in a large number of industrial processes and urban centers. Reservoirs, pipes, nodes, loops, and pumps compose WDN and their design can be formulated as an optimization problem. The main objective is the minimization of the network cost, which depends on the pipe diameters and flow directions known a priori. However, in the design of new WDN in real industrial problems, flow directions are unknown. In the present paper, a disjunctive Mixed Integer NonLinear Programming (MINLP) model is proposed for the synthesis of WDN considering unknown flow directions. Two case studies are employed to test the model and global optimization techniques are used in its solution. Results show that the global optima WDN cost with the correct flow directions is obtained for the studied cases without the necessity of using additional software to calculate pressure drops and velocities in the pipes. |
Patrocinador/es: | The authors gratefully acknowledge the financial support from the National Council for Scientific and Technological Development —CNPq (Brazil), the Coordination for the Improvement of Higher Education Personnel —Process 88881.171419/2018-01 –CAPES (Brazil) and the Ministério de Economía, Industria y Competitividad CTQ2016-77968-C3-02-P (FEDER, UE). |
URI: | http://hdl.handle.net/10045/92073 |
ISSN: | 0098-1354 (Print) | 1873-4375 (Online) |
DOI: | 10.1016/j.compchemeng.2019.05.017 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2019 Elsevier Ltd. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.compchemeng.2019.05.017 |
Aparece en las colecciones: | INV - CONCEPT - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2019_Caballero_Ravagnani_CompChemEng_final.pdf | Versión final (acceso restringido) | 524,09 kB | Adobe PDF | Abrir Solicitar una copia |
2019_Caballero_Ravagnani_CompChemEng_accepted.pdf | Accepted Manuscript (acceso abierto) | 619,18 kB | Adobe PDF | Abrir Vista previa |
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