TY  - JOUR
AU  - Alnouri, Sabla
AU  - Stijepović, Mirko
AU  - Linke, Patrick
AU  - El-Halwagi, Mahmoud
PY  - 2014
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/2725
AB  - In this work, an industrial city spatial representation that accounts for different plant layouts and arrangements is utilized for interplant water network synthesis. The problem has been previously tackled using deterministic optimization methods. This work employs a stochastic optimization approach, using genetic algorithms, for the design of spatially constrained interplant water networks using direct recycling techniques. The approach identifies well-performing solutions in an evolutionary manner, by generating populations of candidate solutions, then sampling regions that are associated with the highest performance probabilities. This ensures that only the fittest designs survive, when evaluating the network performance. A fitness objective that accounts for both freshwater and piping costs was utilized in the design evaluation stage. When compared to the results that have been obtained using deterministic optimization, trade-off trends between the optimum cost of the network and fresh/waste targets were manifested by means of stochastic optimization. Enhanced network performance was attained for a reduced total cost, at the expense of a certain deviation from fresh/waste targets.
PB  - Aidic Servizi Srl, Milano
T2  - Pres 2014, 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and
T1  - Optimal Design of Spatially Constrained Interplant Water Networks with Direct Recycling Techniques using Genetic Algorithms
EP  - +
SP  - 457
VL  - 39
DO  - 10.3303/CET1439077
ER  - 

@article{
author = "Alnouri, Sabla and Stijepović, Mirko and Linke, Patrick and El-Halwagi, Mahmoud",
year = "2014",
abstract = "In this work, an industrial city spatial representation that accounts for different plant layouts and arrangements is utilized for interplant water network synthesis. The problem has been previously tackled using deterministic optimization methods. This work employs a stochastic optimization approach, using genetic algorithms, for the design of spatially constrained interplant water networks using direct recycling techniques. The approach identifies well-performing solutions in an evolutionary manner, by generating populations of candidate solutions, then sampling regions that are associated with the highest performance probabilities. This ensures that only the fittest designs survive, when evaluating the network performance. A fitness objective that accounts for both freshwater and piping costs was utilized in the design evaluation stage. When compared to the results that have been obtained using deterministic optimization, trade-off trends between the optimum cost of the network and fresh/waste targets were manifested by means of stochastic optimization. Enhanced network performance was attained for a reduced total cost, at the expense of a certain deviation from fresh/waste targets.",
publisher = "Aidic Servizi Srl, Milano",
journal = "Pres 2014, 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and",
title = "Optimal Design of Spatially Constrained Interplant Water Networks with Direct Recycling Techniques using Genetic Algorithms",
pages = "+-457",
volume = "39",
doi = "10.3303/CET1439077"
}

Alnouri, S., Stijepović, M., Linke, P.,& El-Halwagi, M.. (2014). Optimal Design of Spatially Constrained Interplant Water Networks with Direct Recycling Techniques using Genetic Algorithms. in Pres 2014, 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and
Aidic Servizi Srl, Milano., 39, 457-+.
https://doi.org/10.3303/CET1439077

Alnouri S, Stijepović M, Linke P, El-Halwagi M. Optimal Design of Spatially Constrained Interplant Water Networks with Direct Recycling Techniques using Genetic Algorithms. in Pres 2014, 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and. 2014;39:457-+.
doi:10.3303/CET1439077 .

Alnouri, Sabla, Stijepović, Mirko, Linke, Patrick, El-Halwagi, Mahmoud, "Optimal Design of Spatially Constrained Interplant Water Networks with Direct Recycling Techniques using Genetic Algorithms" in Pres 2014, 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and, 39 (2014):457-+,
https://doi.org/10.3303/CET1439077 . .