2010
DOI: 10.1016/j.cherd.2009.07.012
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Optimization-based method for calculating water networks with user specified characteristics

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Cited by 29 publications
(17 citation statements)
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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%
See 1 more Smart Citation
“…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%
“…Poplewski et al [14] employed a Mixed-Integer Linear Programming (MILP) model that is capable of exploring various water network performance indices, by specifying certain conditions on continuous variables and network topology. Much of work discussed above involves the design of water networks in a single processing facility.…”
Section: Introductionmentioning
confidence: 99%
“…Source 7 in plant B sends 226 t/h of water to sink 1 in plant A, while source 3 in plant A sends 11.6 t/h of water to sink 6 in plant Depending on case-specific details (e.g., geographic distance separating the plants or process stream stability), there may be significant advantages in having a simpler network such as the one in Figure 3, including improved robustness and operability or lower capital costs. 3,37,[40][41][42][43]47 ' CONCLUSIONS A fuzzy mathematical programming model has been developed for the design of source-sink water allocation networks with parametric uncertainties in the quality level of source streams, the quality tolerances of stream sinks, and in all the streamflow rates. The resulting model is an NLP (or MINLP if topological constraints are included) and has been demonstrated on three case studies adapted from literature, involving concentration-based water network design (with and without topological constraints) and property-based interplant water integration.…”
Section: ' Case Studymentioning
confidence: 99%
“…Designing water networks refers to allocate the streams of the networks between several units while respecting constraints and satisfying objectives. Water allocation problems (WAP) were widely studied during the last decades due to the growing interest for sustainable development in industries (de Faria and de Souza, 2009; Kumaraprasad and Muthukumar, 2009;Klemes et al, 2010;Poplewski et al, 2010). Linear formulations implemented for maximizing water regeneration and reuse into industrial processes has been first developed in a lot of previous works (Bagajewicz and Savelski, 2001;El-Halwagi, 1997;El-Halwagi et al, 2004;Wang and Smith, 1994).…”
Section: Previous Workmentioning
confidence: 99%