A multi-objective optimization model to plan city-scale water systems with economic and environmental objectives: a case study in Santiago, Chile
Daniela Gormaz-Cuevas,Javiera Riffo-Rivas,Ludovic Montastruc,Mariana Brüning-González,Felipe A. Díaz-Alvarado +4 more
TLDR
In this paper, a multi-objective mixed-integer programming (MOP) problem is formulated to minimize the environmental and economic impact of the network, minimizing water extracted from natural sources and total cost.About:
This article is published in Journal of Cleaner Production.The article was published on 2021-01-10 and is currently open access. It has received 6 citations till now. The article focuses on the topics: Water scarcity & Reuse.read more
Figures
Fig. 14. Representation of the mass balance of a large newwaste water treatment plant with fresh water output quality. C: collection; DL: large existing DWTPs; DS: small existing DWTPs; ILfs: large industrial consumers with fresh water consumption and sewage discharge; ILfn: large industrial consumers with fresh water consumption and natural water course discharge; S: sink.X 
Fig. 21. Pareto curve obtained for the multi-objective problem. 
Fig. 3. Representation of the mass balance of commercial and residential consumption. DS: existing small DWTPs with surface water consumption; NS: new small DWTPs; MAs: modified small WWTPs with drinking water output quality; NAs: new small WWTPs with drinking water output quality; D: distribution; C: collection; WS: small existing WWTPs; NAs: new small WWTPs with drinking water output quality; NBs: new small WWTPs with fresh water output quality; NCs: new small WWTPs with irrigation water output quality; NDs: new small WWTPs with discharge water output quality; MAs: modified small WWTPs with drinking water output quality; MBs: modified small WWTPs with fresh water output quality; MCs: modified small WWTPs with irrigation water output quality; S: sink. 
Fig. 18. Representation of the mass balance of collection node. RC: residential consumption; CC: commercial consumption; EB: industrial effluent treatment plant connected with large industrial consumers; ELds: related to ILds; ELdn: related to ILdn; WL: large existing DWTPs; NAl: new large WWTPs with drinking water output quality; NBl: new large WWTPs with fresh water output quality; NCl: new large WWTPs with irrigation water output quality; NDl: new large WWTPs with discharge water output quality; MAl: modified large WWTPs with drinking water output quality; MBl: modified large WWTPs with fresh water output quality; MCl: modified large WWTPs with irrigation water output quality; S: sink. 
Fig. 4. Representation of the mass balance of local industrial consumption. DS: existing small DWTPs with surface water consumption; NS: new small DWTPs; MAs: modified small WWTPs with drinking water output quality; NAs: new small WWTPs with drinking water output quality; D: distribution; EB: industrial effluent treatment plant connected with by-district industrial consumers; S: sink. 
Fig. 5. Representation of the mass balance of large industrial consumption supplied with drinking water and discharging into surface water courses. DS: small existing DWTPs; D: distribution; NS: new small DWTPs; NAs: new small WWTPs with drinking water output quality;MAs: modified small WWTPs with drinking water output quality; ELdn: related to ILdn; S: sink.X
Citations
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Journal ArticleDOI
An optimal resource recovery of biogas, water regeneration, and reuse network integrating domestic and industrial sources
TL;DR: In this article, a non-linear programming (NLP) model was developed to optimize water regeneration and reuse network, as well as biogas generation from selected wastewater streams.
Journal ArticleDOI
Hindcasting and Forecasting Total Suspended Sediment Concentrations Using a NARX Neural Network
TL;DR: In this article, a non-linear autoregressive exogenous neural network (NARX) was used for forecasting sediment concentrations at the exit of Francia Creek watershed (Valparaiso, Chile).
Journal ArticleDOI
Applications of Multi-Objective Optimization to Industrial Processes: A Literature Review
TL;DR: Multi-objective optimization has become a powerful tool to aid the decision-making mechanism in the synthesis, design, operation and control of such processes as mentioned in this paper , and the solution to the mathematical models provides the necessary tools to asses the system performance in terms of different metrics and evaluate the trade-offs between the objectives in conflict.
Journal ArticleDOI
Modeling Frictional Head Loss in the Redesign of City-Scale Water Networks through Multiobjective Optimization: Strategies to Deal with Nonlinear Terms
TL;DR: In this paper , the authors compared four strategies to simplify the nonlinear constraints generated by the extended Bernoulli equation with the Darcy-Weisbach friction term in a city-scale water network, and the best results were obtained with a two-stage strategy to address large MINLP multiobjective problems.
Journal Article
The Evaluation of Parameter M in the Big M Method of Linear Programming
TL;DR: This paper determines a constant M0 and proves that the big M method is convergent to an optimal solution of the primal problem when MM0.
References
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Book
Cost Estimating Manual for Water Treatment Facilities
William McGivney,Susumu Kawamura +1 more
TL;DR: Cost estimating manual for water treatment facilities as discussed by the authors, cost estimating manual of water treatment facility, water treatment manual, and cost estimation manual for the water treatment plant, is a cost estimator manual.
Journal ArticleDOI
Optimal reconfiguration of multi-plant water networks into an eco-industrial park
Eusiel Rubio-Castro,José María Ponce-Ortega,Medardo Serna-González,Mahmoud M. El-Halwagi,Mahmoud M. El-Halwagi +4 more
TL;DR: The model allows the tracking of changes in the process performance as a result of the stream re-routing and retrofitting activities, and the results show the economic and environmental benefits of the retrofitted networks within an eco-industrial park compared to the stand-alone retrofitting networks.
Journal ArticleDOI
Optimization of water networks in industrial processes
TL;DR: In this article, a non-linear program (NLP) model targeting the minimization of freshwater consumption and/or operating costs was developed, based on the conservation equations of chemical species (contaminants) and mass (water).
Journal ArticleDOI
A multiobjective optimization framework for multicontaminant industrial water network design.
TL;DR: This Multiple Criteria Decision Making (MCDM) problem is tackled by means of two approaches: a classical TOPSIS analysis is first implemented and then an innovative strategy based on the global equivalent cost in freshwater that turns out to be more efficient for choosing a good network according to a practical point of view.
Journal ArticleDOI
Water and wastewater minimization in a petrochemical industry through mathematical programming
Éverton Hansen,Éverton Hansen,Marco Antônio Siqueira Rodrigues,Marcelo Escobar Aragão,Patrice Monteiro de Aquim +4 more
TL;DR: In this article, a case study applied in industrial scale, using data from a petrochemical plant, is presented, where alternatives for water reuse were evaluated by analyzing water consumption and wastewater generation processes by using a superstructure and a nonlinear mathematical programming model.