Optimization of water networks in industrial processes

Faria, Débora C.; Souza, Sabrina da Silva de; Souza, Selene de Arruda Guelli Ulson de Maria

doi:10.1016/j.jclepro.2008.12.012

Cited by 48 publications

(20 citation statements)

References 10 publications

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“…Zheng et al (2006) proposed rules to determine the contaminants and their limiting concentrations. 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.…”

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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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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“…Equations (13)(14)(15) associate the existence of a potential corridor pc in region r, to its existence as a connectivity option within all selected routes that incorporate potential corridor additions, for each of the source-to-sink, source-to-waste, and fresh-to-sink water allocations, respectively.…”

Section: Minimize: Fc1lc1pcacmentioning

confidence: 99%

“…Other studies that involve the determination of optimal strategies for wastewater reuse were addressed solely via mathematical and computer‐aided optimization techniques, and were often referred to as water allocation problems (WAPs). For instance, De Faria and De Souza developed a non‐linear program model that is capable of identifying designs with optimal operating costs, coupled with designs that also achieve minimum freshwater consumption targets, via a two‐step methodology. The total operating cost of the network cost was optimized while fixing the minimum freshwater consumption target, to a previously obtained value.…”

Section: Introductionmentioning

confidence: 99%

On the identification of optimal utility corridor locations in interplant water network synthesis

Alnouri

Linke

Stijepović

et al. 2016

Env Prog and Sustain Energy

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Studies involving the design of interplant water networks have received significant attention over the past few years. Many methods have been developed to assist in obtaining efficient water reuse network design schemes, mainly using fundamental concepts of water integration. Our recent work has presented the importance of considering spatial constraints in the form of utility corridor availability, when identifying cost‐effective interplant water network arrangements in industrial zones (Alnouri et al., [2014]: Clean Technologies and Environmental Policy 16, 1637–1659). This article extends the scope of our previous work by enabling the identification of new corridor locations, which could potentially be used alongside existing utility infrastructure. We present an optimization framework that allows unutilized areas of land within industrial zones to be sectioned off and added as optional transportation channels, together with existing utility corridor regions, in the course of attaining cost‐effective interplant water network designs. The methodology entails that identification of optimal wastewater reuse schemes among various processing entities, by exploring options for enhanced utility corridors. As an illustration, several cases that utilize an assumed layout for an industrial zone have been carried out, in which a number of unutilized regions of land were identified to exist. Several opportunities that allow for potential corridor additions onto existing corridor infrastructure, through the exploitation of unutilized regions of land within the plot, were explored. A number of improvements in the water network designs obtained are highlighted for the different case scenarios that have been investigated, using the proposed approach. © 2016 American Institute of Chemical Engineers Environ Prog, 35: 1492–1511, 2016

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“…The objective function can be the freshwater flow rate (Faria et al, 2009;Tokos and Pintari c, 2009;Boix et al, 2012), the regeneration flow rate (Deng et al, 2013), or the total cost (Feng and Chu, 2004;Tokos et al, 2013). By using mathematical programming formulations, such as mixed-integer linear programming (MILP) (Bagajewicz and Savelski, 2001) and mixedinteger nonlinear programming (MINLP) (N apoles-Rivera et al, 2015), the mathematical model can be solved and the design of water networks can be obtained.…”

Section: Introductionmentioning

confidence: 99%