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Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance

Water loss has become increasingly critical as the severity of the water shortage situation has grown in recent decades. One of the options for reducing water loss in urban water distribution networks is pressure management. The study aimed to evaluate and optimize the existing water distribution sy...

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Autores principales: Desta, Wendesen Mekonin, Feyessa, Fekadu Fufa, Debela, Seifu Kebede
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637795/
https://www.ncbi.nlm.nih.gov/pubmed/36353166
http://dx.doi.org/10.1016/j.heliyon.2022.e11257
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author Desta, Wendesen Mekonin
Feyessa, Fekadu Fufa
Debela, Seifu Kebede
author_facet Desta, Wendesen Mekonin
Feyessa, Fekadu Fufa
Debela, Seifu Kebede
author_sort Desta, Wendesen Mekonin
collection PubMed
description Water loss has become increasingly critical as the severity of the water shortage situation has grown in recent decades. One of the options for reducing water loss in urban water distribution networks is pressure management. The study aimed to evaluate and optimize the existing water distribution system in the city. The proposed methodology is an interactive combination process between an optimization algorithm and WaterGEMS V8i to evaluate the performance of the distribution system. It was observed that, 43.80% of nodes (15–60 mH(2)O), 5.10% of nodes (15 mH(2)O), and 51.10% of nodes (>60 mH(2)O) received pressure during peak hour demand. During low demand periods, only 4.4% of nodes (15–60 mH(2)O) and 95.60% of nodes (>60 mH(2)O) received pressure. The water age simulation results revealed that, 51.70% of the pipes were received water age <4.8 h, whereas the other 48.3% of the pipes were received water age <8.6 h during peak hour demand. During low demand periods, 45.58% of the pipes had a water age of less than 4.8 h while the other 54.42% of the pipes had water age of 4.8–20 h. The optimization result showed that after optimization, 4.4% of the nodes with optimum pressure increased to 75.18%, and 95.6% of the nodes decreased to 24.82%. Changing the size of the pipe based on the optimization result, and dividing an area into different pressure zones (adding more reservoirs at the far end of the distribution system) are all ways to improve or upgrade the distribution system.
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spelling pubmed-96377952022-11-08 Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance Desta, Wendesen Mekonin Feyessa, Fekadu Fufa Debela, Seifu Kebede Heliyon Research Article Water loss has become increasingly critical as the severity of the water shortage situation has grown in recent decades. One of the options for reducing water loss in urban water distribution networks is pressure management. The study aimed to evaluate and optimize the existing water distribution system in the city. The proposed methodology is an interactive combination process between an optimization algorithm and WaterGEMS V8i to evaluate the performance of the distribution system. It was observed that, 43.80% of nodes (15–60 mH(2)O), 5.10% of nodes (15 mH(2)O), and 51.10% of nodes (>60 mH(2)O) received pressure during peak hour demand. During low demand periods, only 4.4% of nodes (15–60 mH(2)O) and 95.60% of nodes (>60 mH(2)O) received pressure. The water age simulation results revealed that, 51.70% of the pipes were received water age <4.8 h, whereas the other 48.3% of the pipes were received water age <8.6 h during peak hour demand. During low demand periods, 45.58% of the pipes had a water age of less than 4.8 h while the other 54.42% of the pipes had water age of 4.8–20 h. The optimization result showed that after optimization, 4.4% of the nodes with optimum pressure increased to 75.18%, and 95.6% of the nodes decreased to 24.82%. Changing the size of the pipe based on the optimization result, and dividing an area into different pressure zones (adding more reservoirs at the far end of the distribution system) are all ways to improve or upgrade the distribution system. Elsevier 2022-10-26 /pmc/articles/PMC9637795/ /pubmed/36353166 http://dx.doi.org/10.1016/j.heliyon.2022.e11257 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Desta, Wendesen Mekonin
Feyessa, Fekadu Fufa
Debela, Seifu Kebede
Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance
title Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance
title_full Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance
title_fullStr Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance
title_full_unstemmed Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance
title_short Modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance
title_sort modeling and optimization of pressure and water age for evaluation of urban water distribution systems performance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637795/
https://www.ncbi.nlm.nih.gov/pubmed/36353166
http://dx.doi.org/10.1016/j.heliyon.2022.e11257
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