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
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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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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 ChapterDOI
Multi-objective Optimization
TL;DR: This chapter discusses the fundamental principles of multi-objective optimization, the differences between multi-Objective optimization and single-objectives optimization, and describes a few well-known classical and evolutionary algorithms for multi- objective optimization.
Journal ArticleDOI
A global assessment of the impact of climate change on water scarcity
Simon N. Gosling,Nigel W. Arnell +1 more
TL;DR: In this article, the authors present a global scale assessment of the impact of climate change on water scarcity, using the Water Crowding Index (WCI) and the Water Stress Index to calculate exposure to increases and decreases in global water scarcity.
BookDOI
Multi-objective optimization : techniques and applications in chemical engineering
TL;DR: This paper presents a meta-anatomical architecture for multi-Objective Optimization of multi-Product Microbial Cell Factory for Multiple Objectives and some of the principles used in this architecture were previously described in the book “Optimal Design of Chemical Processes for Multiple Economic and Environmental Objectives.”
Journal ArticleDOI
Design and Integration of Eco-Industrial Parks for Managing Water Resources
TL;DR: In this article, an optimization-based approach to the design and integration of eco-industrial parks (EIPs) is presented, where a source-interception-sink structural representation is used to embed potential configurations of interest, such as direct recycle, material exchange, mixing and segregation of different streams, separation and treatment in interception units, and allocation to process users.
Journal ArticleDOI
A multi-objective optimisation approach to water management.
Emmanuel Xevi,Shahbaz Khan +1 more
TL;DR: This approach is described by analyzing the conflicts that may arise between profitability, variable costs of production and pumping of groundwater for a hypothetical irrigation area by linking bio-economic objectives with the optimum use of all water resources under conflicting demands.