A water network optimization using MATLAB—A case study

Matijašević, Ljubica; Dejanović, Igor; Spoja, Damjan

doi:10.1016/j.resconrec.2010.05.011

Cited by 17 publications

(8 citation statements)

References 14 publications

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“…The first step in water network optimization is to collect the relevant data and confirm the limiting concentration (Matijasevic et al, 2010).…”

Section: Limiting Concentration Of Water-utilization Processesmentioning

confidence: 99%

“…Faria et al (2009) constructed a nonlinear programming model to minimize freshwater consumption and investigated the cost and freshwater consumption under conditions with and without a regeneration unit. Matijasevic et al (2010) constructed a mixed integer linear program (MILP) for water use and wastewater treatment systems that is solved using MATLAB. Khor et al (2014) proposed a mixed-integer quadratically constrained quadratic program (MIQCQP) for a fixed-flow total water network synthesis problem under uncertain conditions.…”

Section: Introductionmentioning

confidence: 99%

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Water system integration and optimization in a yeast enterprise

Song

et al. 2015

Resources, Conservation and Recycling

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“…The first step in water network optimization is to collect the relevant data and confirm the limiting concentration (Matijasevic et al, 2010).…”

Section: Limiting Concentration Of Water-utilization Processesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Water system integration and optimization in a yeast enterprise

Song

et al. 2015

Resources, Conservation and Recycling

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“…The original mathematical optimization problem definitions were proposed in [5,11], as well as in [12][13][14][15][16][17], and others. All these applications contain superstructure-based optimization models of the water usage network.…”

Section: Water Network Design Procedure: the Mathematical Apparatusmentioning

confidence: 99%

Industrial Water Usage Networks Design Procedure

Shakhnovsky

Квітка

2018

WPT STN

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The paper addresses some important results as to optimal design of water usage networks. The aim was to minimize freshwater consumption by water re-use at minimum total flow-rate of water streams among processes and small number of process interconnections. The design approach was based on mixed-integer nonlinear multi-objective programming problem of superstructure optimization. The superstructure includes all possible structures and consists of mass balances of mixers, splitters, water users and partial treatment processes. The general solution algorithm of optimization was outlined. The optimal network design procedure is described. The examples presented show that the approach is robust technique for the synthesis of water usage networks.

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“…Kim et al (2009) applied a mixed integer nonlinear programming (MINLP) to design wastewater and heat exchange networks for process industries and this network was optimized based on cost estimation whose results showed the effectiveness of the proposed methodology. What's more, MINLP was further applied to analyze and optimize water network in petroleum refinery industry and in re-circulation cooling water systems by later researchers (Matija seviic et al, 2010;José et al, 2010). Based on Genetic algorithm methodology Weili Jiang et al proposed an algorithm for the optimization of production schedule in the dyeing industry, which reduced freshwater consumption by 20e30% (Jiang et al, 2010).…”

Section: Introductionmentioning

confidence: 99%