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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/873| Multi-objective Optimization of Water-using Systems | |
| CARLOS EDUARDO MARIANO ROMERO VICTOR HUGO ALCOCER YAMANAKA EDUARDO FRANCISCO MORALES MANZANARES | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Industrial water systems often allow ecient water uses via water reuse and/or recirculation. The design of the network layout connect- ing water-using processes is a complex problem which involves several criteria to optimize. Most of the time, this design is achieved using Water Pinch technology, optimizing the freshwater ow rate enter- ing the system. This paper describes an approach that considers two criteria: (i) the minimization of freshwater consumption and (ii) the minimization of the infrastructure cost required to build the network. The optimization model considers water reuse between operations and wastewater treatment as the main mechanisms to reduce freshwater consumption. The model is solved using MDQL (Multi-objective Dis- tributed Q-Learning), a heuristic approach based on the exploitation of knowledge acquired during the search process. MDQL has been previously tested on several multi-objective optimization benchmark problems with promising results [16]. In order to compare the quality of the results obtained with MDQL, the reduced gradient method was applied to solve a weighted combination of the two objective functions used in the model. The proposed approach was tested on three cases: (i) a single contaminant four unitary operations problem where fresh- water consumption is reduced via water reuse, (ii) a four contaminants real-world case with ten unitary operations, also with water reuse, and (iii) the water distribution network operation of Cuernavaca, Mexico, considering reduction of water leaks, operation of existing treatment plants at their design capacity, and design and construction of new treatment infrastructure to treat 100% of the wastewater produced. It is shown that the proposed approach can solved highly constrained real-world multi-objective optimization problems. | |
| Instituto Nacional de Astrofísica, Óptica y Electrónica | |
| 2007 | |
| Artículo | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Carlos E. Mariano-Romero Víctor H. Alcocer-Yamanaka Eduardo F. Morales | |
| HIDROLOGÍA | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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| 5_Multi-objective optimization of water-using systems.pdf | 228.16 kB | Adobe PDF | Visualizar/Abrir |