Water Distribution Networks Optimization Considering Uncertainties in the Demand Nodes
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http://hdl.handle.net/10045/140214
Title: | Water Distribution Networks Optimization Considering Uncertainties in the Demand Nodes |
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Authors: | Cassiolato, Gustavo H.B. | Ruiz-Femenia, Rubén | Salcedo Díaz, Raquel | Ravagnani, Mauro A.S.S. |
Research Group/s: | Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT) |
Center, Department or Service: | Universidad de Alicante. Departamento de Ingeniería Química |
Keywords: | Water distribution networks | Disjunctive programming | Uncertainties in the nodes demand | Unknown flow directions |
Issue Date: | 22-Jan-2024 |
Publisher: | Springer Nature |
Citation: | Water Resources Management. 2024, 38: 1479-1495. https://doi.org/10.1007/s11269-024-03733-y |
Abstract: | The fluctuation in the consumption of treated water is a situation that distribution networks gradually face. In times of greater demand, this consumption tends to suffer unnecessary impacts due to the lack of water. The uncertainty that occurs in water consumption can be mathematically modeled by a finite set of scenarios generated by a normal distribution and attributed to the network design. This study presents an optimization model to minimize network installation and operation costs under uncertainties in water demands. A Mixed Integer Nonlinear Programming model is proposed, considering the water flow directions in the pipes as unknown. A deterministic approach is used to solve the problem in three steps: First, the problem is solved with a nominal value for each uncertain parameter. In the second stage, the problem is solved for all scenarios, with the independent variables of the scenario being fixed and obtained from the solution reached in the first stage, known as the deterministic solution. Finally, all scenarios are solved without fixing any variable values, in a stochastic approach. Two case studies were used to test the applicability of the model and global optimization techniques were used to solve the problem. The results show that the stochastic solution can lead to optimal solutions for robust and flexible water distribution networks, capable of working under different conditions, considering the uncertainties of node demand and variable pipe directions. |
Sponsor: | The authors gratefully acknowledge the financial support from the National Council for Scientific and Technological Development (Brazil), process 309026/2022-9. |
URI: | http://hdl.handle.net/10045/140214 |
ISSN: | 0920-4741 (Print) | 1573-1650 (Online) |
DOI: | 10.1007/s11269-024-03733-y |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © The Author(s), under exclusive licence to Springer Nature B.V. 2024 |
Peer Review: | si |
Publisher version: | https://doi.org/10.1007/s11269-024-03733-y |
Appears in Collections: | INV - CONCEPT - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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Cassiolato_etal_2024_WaterResourManage_final.pdf | Versión final (acceso restringido) | 1,44 MB | Adobe PDF | Open Preview |
Cassiolato_etal_2024_WaterResourManage_preprint.pdf | Preprint (acceso abierto) | 408,07 kB | Adobe PDF | Open Preview |
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