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DC Field | Value | Language |
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dc.contributor.author | Veintimilla Reyes, Jaime Eduardo | - |
dc.contributor.author | De Meyer, Annelies | - |
dc.contributor.author | Cattryss, Dirk | - |
dc.contributor.author | Tacuri Espinoza, Victor Eduardo | - |
dc.contributor.author | Vanegas Peralta, Pablo Fernando | - |
dc.contributor.author | Cisneros Espinosa, Felipe Eduardo francisco | - |
dc.contributor.author | Van Orshoven, Jos | - |
dc.date.accessioned | 2019-08-06T14:21:15Z | - |
dc.date.available | 2019-08-06T14:21:15Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2073-4441 | - |
dc.identifier.uri | https://www.mdpi.com/2073-4441/11/5/1011 | - |
dc.description | The allocation of water flowing through a river-with-reservoirs system to optimally meet spatially distributed and temporally variable demands can be conceived as a network flow optimization (NFO) problem and addressed by linear programming (LP). In this paper, we present an extension of the strategic NFO-LP model of our previous model to a mixed integer linear programming (MILP) model to simultaneously optimize the allocation of water and the location of one or more new reservoirs; the objective function to minimize only includes two components (floods and water demand), whereas the extended LP-model described in this paper, establishes boundaries for each node (reservoir and river segments) and can be considered closer to the reality. In the MILP model, each node is called a “candidate reservoir” and corresponds to a binary variable (zero or one) within the model with a predefined capacity. The applicability of the MILP model is illustrated for the Machángara river basin in the Ecuadorian Andes. The MILP shows that for this basin the water-energy-food nexus can be mitigated by adding one or more reservoirs. | - |
dc.description.abstract | The allocation of water flowing through a river-with-reservoirs system to optimally meet spatially distributed and temporally variable demands can be conceived as a network flow optimization (NFO) problem and addressed by linear programming (LP). In this paper, we present an extension of the strategic NFO-LP model of our previous model to a mixed integer linear programming (MILP) model to simultaneously optimize the allocation of water and the location of one or more new reservoirs; the objective function to minimize only includes two components (floods and water demand), whereas the extended LP-model described in this paper, establishes boundaries for each node (reservoir and river segments) and can be considered closer to the reality. In the MILP model, each node is called a “candidate reservoir” and corresponds to a binary variable (zero or one) within the model with a predefined capacity. The applicability of the MILP model is illustrated for the Machángara river basin in the Ecuadorian Andes. The MILP shows that for this basin the water-energy-food nexus can be mitigated by adding one or more reservoirs. | - |
dc.language.iso | es_ES | - |
dc.source | Water | - |
dc.subject | MILP | - |
dc.subject | LP | - |
dc.subject | Network flow optimization problem (NFOP) | - |
dc.subject | Water allocation | - |
dc.subject | Reservoir optimization | - |
dc.subject | Machángara | - |
dc.title | MILP for optimizing water allocation and reservoir location: a case study for the Machángara river basin, Ecuador | - |
dc.type | ARTÍCULO | - |
dc.ucuenca.idautor | 0103458394 | - |
dc.ucuenca.idautor | Sgrp-1883-2 | - |
dc.ucuenca.idautor | Sgrp-1883-3 | - |
dc.ucuenca.idautor | 0102363579 | - |
dc.ucuenca.idautor | 0102274891 | - |
dc.ucuenca.idautor | 0101045540 | - |
dc.ucuenca.idautor | Sgrp-1883-7 | - |
dc.identifier.doi | https://doi.org/10.3390/w11051011 | - |
dc.ucuenca.version | Versión publicada | - |
dc.ucuenca.areaconocimientounescoamplio | 06 - Información y Comunicación (TIC) | - |
dc.ucuenca.afiliacion | Veintimilla, J., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador; Veintimilla, J., KU Leuven, Leuven, Belgica | - |
dc.ucuenca.afiliacion | De, A., Flemish Institute for Technological Research, Mol, Belgica | - |
dc.ucuenca.afiliacion | Cattryss, D., KU Leuven, Leuven, Belgica | - |
dc.ucuenca.afiliacion | Tacuri, V., Universidad de Cuenca, Facultad de Ciencias Agropecuarias, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Vanegas, P., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Cisneros, F., Universidad de Cuenca, Departamento de Ingeniería Civil, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Van, J., KU Leuven, Leuven, Belgica | - |
dc.ucuenca.volumen | Volumen 11, número 5 | - |
dc.ucuenca.indicebibliografico | SCOPUS | - |
dc.ucuenca.factorimpacto | 0.657 | - |
dc.ucuenca.cuartil | Q2 | - |
dc.ucuenca.numerocitaciones | 0 | - |
dc.ucuenca.areaconocimientofrascatiamplio | 2. Ingeniería y Tecnología | - |
dc.ucuenca.areaconocimientofrascatiespecifico | 2.11 Otras Ingenierias y Tecnologías | - |
dc.ucuenca.areaconocimientofrascatidetallado | 2.11.2 Otras Ingenierias y Tecnologías | - |
dc.ucuenca.areaconocimientounescoespecifico | 061 - Información y Comunicación (TIC) | - |
dc.ucuenca.areaconocimientounescodetallado | 0613 - Software y Desarrollo y Análisis de Aplicativos | - |
dc.ucuenca.urifuente | https://www.mdpi.com/journal/water | - |
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documento.pdf | document | 4.68 MB | Adobe PDF | View/Open |
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