0000000000800587

AUTHOR

Bruno Melo Brentan

showing 6 related works from this author

Multi-Objective and Multi-Criteria Analysis for Optimal Pump Scheduling in Water Systems

2018

This contribution focuses on the problem of optimal pump scheduling, a fundamental element in pursuing operation optimization of water distribution systems. A combined approach of multi-objective optimization and multi-criteria analysis is herein suggested to first find the Pareto front of non-dominated solutions and then to rank them based on a set of weighted criteria. The Non-Dominated Sorting Genetic Algorithm (NSGA-II) is proposed to solve the multi-objective problem, while the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to achieve the final ranking.

Multi-objective optimizationMathematical optimizationWater distribution systemsComputer scienceMulti criteriaScheduling (production processes)Optimal pump schedulingMulticriteria analysisEPiC Series in Engineering
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Water quality sensor placement: a multi-objective and multi-criteria approach

2021

[EN] To satisfy their main goal, namely providing quality water to consumers, water distribution networks (WDNs) need to be suitably monitored. Only well designed and reliable monitoring data enables WDN managers to make sound decisions on their systems. In this belief, water utilities worldwide have invested in monitoring and data acquisition systems. However, good monitoring needs optimal sensor placement and presents a multi-objective problem where cost and quality are conflicting objectives (among others). In this paper, we address the solution to this multi-objective problem by integrating quality simulations using EPANET-MSX, with two optimization techniques. First, multi-objective op…

OptimizationMathematical optimizationOptimization problemWater distribution systems010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subject0208 environmental biotechnology02 engineering and technologyWater quality sensor placement01 natural sciencesMulti-objective optimizationEntropy (information theory)Quality (business)ELECTRECluster analysis0105 earth and related environmental sciencesWater Science and TechnologyCivil and Structural Engineeringmedia_common06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todosPareto principleBenchmarking020801 environmental engineeringELECTRE TRIMATEMATICA APLICADA
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Managing expert knowledge in water network expansion project implementation

2021

[EN] The implementation of expansion projects of water networks supplying growing cities is deemed to be a complex decision-making problem involving both technical aspects and expert knowledge. Management and control processes must rely on experts in the field whose know-how must be coupled with techniques able to deal with the natural subjectivity that affects input evaluations. Given the presence of many decision-making elements, the choice of proper hydraulic technical parameters may be linked to the main aspects of analysis requiring formal expert evaluation. In this contribution, the simulation of hydraulic indicators is integrated with a multi-criteria approach able to eventually dete…

Network expansionEngineering managementComplex systemsExpansion projectControl and Systems EngineeringProject implementationComputer scienceEPAnet software 2.0Water distribution networksTOPSISMATEMATICA APLICADAManagement and control
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Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems

2019

Abstract This work presents a multi-criteria-based approach to automatically select specific non-dominated solutions from a Pareto front previously obtained using multi-objective optimization to find optimal solutions for pump control in a water supply system. Optimal operation of pumps in these utilities is paramount to enable water companies to achieve energy efficiency in their systems. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the Pareto solutions found by the non-dominated sorting genetic algorithm (NSGA-II) employed to solve the multi-objective problem. Various scenarios are evaluated under leakage uncertainty conditions, res…

050210 logistics & transportationMathematical optimizationMulti-criteria analysisWater distribution systemsComputer science0208 environmental biotechnology05 social sciencesScheduling (production processes)02 engineering and technologyMulti-objective optimization020801 environmental engineeringMulti-objective optimizationMulti criteria0502 economics and businessSettore ING-IND/17 - Impianti Industriali MeccaniciOptimal pump schedulingMATEMATICA APLICADAWater Science and Technology
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Optimal Placement of Pressure Sensors Using Fuzzy DEMATEL-Based Sensor Influence

2020

[EN] Nowadays, optimal sensor placement (OSP) for leakage detection in water distribution networks is a lively field of research, and a challenge for water utilities in terms of network control, management, and maintenance. How many sensors to install and where to install them are crucial decisions to make for those utilities to reach a trade-off between efficiency and economy. In this paper, we address the where-to-install-them part of the OSP through the following elements: nodes' sensitivity to leakage, uncertainty of information, and redundancy through conditional entropy maximisation. We evaluate relationships among candidate sensors in a network to get a picture of the mutual influenc…

Mathematical optimizationlcsh:Hydraulic engineeringDistribution networksoptimal sensor placementComputer scienceEntropyleakageGeography Planning and Development09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovación0207 environmental engineeringDEMATEL02 engineering and technologyAquatic ScienceBiochemistryFuzzy logiclcsh:Water supply for domestic and industrial purposesSensitivityMulti-criteria decision-makingFuzzy dematellcsh:TC1-9780202 electrical engineering electronic engineering information engineeringmulti-criteria decision-makingEntropy (information theory)uncertainty020701 environmental engineeringMutual influenceWater Science and TechnologyConditional entropylcsh:TD201-500Network controlUncertaintyWater distribution networksensitivityPressure sensorOptimal sensor placementwater distribution network020201 artificial intelligence & image processingMATEMATICA APLICADAentropyLeakageWater
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District metered area design through multicriteria and multiobjective optimization

2022

[EN] The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems. Concomitant to their main objective, namely, to deliver quality water to consumers, the benefits include leakage reduction and prompt reaction in cases of natural or malicious contamination events. Given the structure of a water distribution network (WDN), graph theory is the basis for DMA design, and clustering algorithms can be applied to perform the partitioning. However, such sectorization entails a number of network modifications (installing cut-off valves and metering and control devices) involving costs and operation changes,…

Mathematical optimization06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todosGeneral Mathematicsgraph theoryGeneral Engineeringk-means clusteringk-means algorithmTOPSISGraph theorymetaheuristicfuzzy AHPdistrict metered areasMulti-objective optimizationwater distribution systemsmultiobjective optimizationMATEMATICA APLICADATOPSISMetaheuristicDecision makingFuzzy ahpMathematics
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