Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/33261
Title: MILP for Optimizing Water Allocation and Reservoir Location: A Case Study for the Machángara River Basin, Ecuador
Authors: Veintimilla Reyes, Jaime Eduardo
De Meyer, Annelies
Cattryss, Dirk
Tacuri Espinoza, Victor Eduardo
Vanegas Peralta, Pablo Fernando
Cisneros Espinosa, Felipe Eduardo francisco
Van Orshoven, Jos
Keywords: Milp
Lp
Network Flow Optimization Problem (Nfop)
Water Allocation
Reservoir Optimization
Machángara
Issue Date: 2019
metadata.dc.type: ARTÍCULO
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.
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.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/33261
https://www.mdpi.com/2073-4441/11/5/1011
ISSN: 2073-4441
Appears in Collections:Artículos

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