Multiobjective optimization for designing and operating more sustainable water management systems for a city in <scp>M</scp>exico

Rojas-Torres, Ma. Guadalupe; Nápoles‐Rivera, Fabricio; Ponce-Ortega, José María; Serna‐González, Medardo; Guillén‐Gosálbez, Gonzalo; Esteller, Laureano Jiménez

doi:10.1002/aic.14814

Cited by 11 publications

(21 citation statements)

References 28 publications

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“…Liu et al (2011) developed an optimization model for water resources manage ment for insular areas in Greece. Rojas Torres et al (2015) proposed a multi objective optimization model to design a water system in a city scale, using water reuse for agricultural purpose. P erez et al ( 2017) also proposed a model to design a water system in a city in Mexico, but using rainwater reservoirs.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al (2011) presented an optimization approach for water management of a city including desalinated seawater and reclaimed water as water sources. Rojas Torres et al (2015) incorporated rainwater harvest ing and reclaimed water.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, Kantor et al (2015) developed a model to reduce network life cycle emissions while seeking to reduce their cost in an EIP water network. Rojas Torres et al (2015) proposed a model to solve planning and scheduling water storage and distri bution for a city, maximizing overall profit and minimizing fresh water consumption and land use. P erez et al (2019) proposed to design an optimal water distribution network maximizing reve nues and minimizing both groundwater usage and investment cost.…”

Section: Introductionmentioning

confidence: 99%

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A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: A case study in santiago, Chile

Gormaz-Cuevas

Riffo-Rivas

Montastruc

et al. 2021

Journal of Cleaner Production

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Climate Change and its effects in water scarcity has become an important challenge for cities with water management problems. These problems require an integral planning of the city, which can be supported by optimization. The main goal of the research is to provide a regional optimization model for water networks, including new treatment options. The model is formulated as a multi objective mixed integer programming problem, focused on environmental and economic impact of the network, minimizing water extracted from natural sources and total cost. The formulation is developed with the goal programming methodology. The model covers a complete existing city scale water network, including 4 different options of water reuse within the city: drinking water, fresh water, irrigation, and discharge in natural courses. The case study is Santiago, capital of Chile, which is the political, economic, and insti tutional center of Chile. If both objective functions have equal importance to configure the solution, the following ideas characterize the optimal water network: (i) it is more environmentally and economically convenient to reuse water within the network rather than recycling water to the natural source; (ii) the reuse of water is preferred in the form of irrigation and drinking qualities rather than industrial qualities to reduce transport costs, and (iii) the modification of the current treatment plants is preferred, because of the high cost of installation of new plants. An environmental and cost effective solution for Santiago, Chile, can reduce the source water extraction in 35.7%. The model can be implemented in other contexts, providing orientations to decision makers so as to plan city scale water networks with simultaneous environmental and economic considerations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: A case study in santiago, Chile

Gormaz-Cuevas

Riffo-Rivas

Montastruc

et al. 2021

Journal of Cleaner Production

View full text Add to dashboard Cite

show abstract

“…This manuscript version is made available under the Elsevier user license http://www.elsevier.com/open-access/userlicense/1.0/ functions [34,14,29,1,69,24]. Applications include integrated biorefineries and supply chains [2,3,6,11,19,21,22,27,38,46,51,57,65,68,67,69], industrial facility location problems [40], balancing fresh water consumption, greenhouse gas emissions and/or waste water pollutants [52,18,19], design of water management and treatment networks [53,63,72], ecology/pollutant management [10,57,15,60] and molecular design [49].…”

Section: Introductionmentioning

confidence: 99%

A framework for multi-stakeholder decision-making and conflict resolution

Dowling

Ruiz-Mercado

Zavala

2016

Computers & Chemical Engineering

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We propose a decision-making framework to compute compromise solutions that balance conflicting priorities of multiple stakeholders on multiple objectives. In our setting, we shape the stakeholder dissatisfaction distribution by solving a conditional-value-at-risk (CVaR) minimization problem. The CVaR problem is parameterized by a probability level that shapes the tail of the dissatisfaction distribution. The proposed approach allows us to compute a family of compromise solutions and generalizes multi-stakeholder settings previously proposed in the literature that minimize average and worst-case dissatisfactions. We use the concept of the CVaR norm to give a geometric interpretation to this problem and use the properties of this norm to prove that the CVaR minimization problem yields Pareto optimal solutions for any choice of the probability level. We discuss a broad range of potential applications of the framework that involve complex decision-making processes. We demonstrate the developments using a biowaste facility location case study in which we seek to balance stakeholder priorities on transportation, safety, water quality, and capital costs.

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“…Making the best use of limited water resources premises the sustainable development of economy and society [1]. In the past few decades, many researchers have applied optimization techniques [2][3][4][5][6][7] to deal with uncertainties in a number of system components and their interrelationships within water resources systems [8]. Among them, inexact multistage stochastic programming (IMSP) is regarded as a significant method for water resources management.…”

Section: Introductionmentioning

confidence: 99%

Inexact Multistage Stochastic Chance Constrained Programming Model for Water Resources Management under Uncertainties

Zhang

Zhao

et al. 2017

Scientific Programming

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In order to formulate water allocation schemes under uncertainties in the water resources management systems, an inexact multistage stochastic chance constrained programming (IMSCCP) model is proposed. The model integrates stochastic chance constrained programming, multistage stochastic programming, and inexact stochastic programming within a general optimization framework to handle the uncertainties occurring in both constraints and objective. These uncertainties are expressed as probability distributions, interval with multiply distributed stochastic boundaries, dynamic features of the long-term water allocation plans, and so on. Compared with the existing inexact multistage stochastic programming, the IMSCCP can be used to assess more system risks and handle more complicated uncertainties in water resources management systems. The IMSCCP model is applied to a hypothetical case study of water resources management. In order to construct an approximate solution for the model, a hybrid algorithm, which incorporates stochastic simulation, back propagation neural network, and genetic algorithm, is proposed. The results show that the optimal value represents the maximal net system benefit achieved with a given confidence level under chance constraints, and the solutions provide optimal water allocation schemes to multiple users over a multiperiod planning horizon.

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Multiobjective optimization for designing and operating more sustainable water management systems for a city in Mexico

Cited by 11 publications

References 28 publications

A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: A case study in santiago, Chile

A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: A case study in santiago, Chile

A framework for multi-stakeholder decision-making and conflict resolution

Inexact Multistage Stochastic Chance Constrained Programming Model for Water Resources Management under Uncertainties

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