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Optimal design of water reuse networks in cities through decision support tool development and testing

Water scarcity and droughts are an increasing issue in many parts of the world. In the context of urban water systems, the transition to circularity may imply wastewater treatment and reuse. Planning and assessment of water reuse projects require decision-makers evaluating the cost and benefits of a...

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Autores principales: Calle, Eusebi, Martínez, David, Buttiglieri, Gianluigi, Corominas, Lluís, Farreras, Miquel, Saló-Grau, Joan, Vilà, Pere, Pueyo-Ros, Josep, Comas, Joaquim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020772/
https://www.ncbi.nlm.nih.gov/pubmed/36945314
http://dx.doi.org/10.1038/s41545-023-00222-4
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author Calle, Eusebi
Martínez, David
Buttiglieri, Gianluigi
Corominas, Lluís
Farreras, Miquel
Saló-Grau, Joan
Vilà, Pere
Pueyo-Ros, Josep
Comas, Joaquim
author_facet Calle, Eusebi
Martínez, David
Buttiglieri, Gianluigi
Corominas, Lluís
Farreras, Miquel
Saló-Grau, Joan
Vilà, Pere
Pueyo-Ros, Josep
Comas, Joaquim
author_sort Calle, Eusebi
collection PubMed
description Water scarcity and droughts are an increasing issue in many parts of the world. In the context of urban water systems, the transition to circularity may imply wastewater treatment and reuse. Planning and assessment of water reuse projects require decision-makers evaluating the cost and benefits of alternative scenarios. Manual or semi-automatic approaches are still common practice for planning both drinking and reclaimed water distribution networks. This work illustrates a decision support tool that, based on open data sources and graph theory coupled to greedy optimization algorithms, is able to automatically compute the optimal reclaimed water network for a given scenario. The tool provides not only the maximum amount of served reclaimed water per unit of invested cost, but also the length and diameters of the pipes required, the location and size of storage tanks, the population served, and the construction costs, i.e., everything under the same architecture. The usefulness of the tool is illustrated in two different but complementary cities in terms of size, density, and topography. The construction cost of the optimal water reclaimed network for a city of approximately 100,000 inhabitants is estimated to be in the range of €0.17–0.22/m(3) (for a payback period of 30 years).
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spelling pubmed-100207722023-03-17 Optimal design of water reuse networks in cities through decision support tool development and testing Calle, Eusebi Martínez, David Buttiglieri, Gianluigi Corominas, Lluís Farreras, Miquel Saló-Grau, Joan Vilà, Pere Pueyo-Ros, Josep Comas, Joaquim NPJ Clean Water Article Water scarcity and droughts are an increasing issue in many parts of the world. In the context of urban water systems, the transition to circularity may imply wastewater treatment and reuse. Planning and assessment of water reuse projects require decision-makers evaluating the cost and benefits of alternative scenarios. Manual or semi-automatic approaches are still common practice for planning both drinking and reclaimed water distribution networks. This work illustrates a decision support tool that, based on open data sources and graph theory coupled to greedy optimization algorithms, is able to automatically compute the optimal reclaimed water network for a given scenario. The tool provides not only the maximum amount of served reclaimed water per unit of invested cost, but also the length and diameters of the pipes required, the location and size of storage tanks, the population served, and the construction costs, i.e., everything under the same architecture. The usefulness of the tool is illustrated in two different but complementary cities in terms of size, density, and topography. The construction cost of the optimal water reclaimed network for a city of approximately 100,000 inhabitants is estimated to be in the range of €0.17–0.22/m(3) (for a payback period of 30 years). Nature Publishing Group UK 2023-03-17 2023 /pmc/articles/PMC10020772/ /pubmed/36945314 http://dx.doi.org/10.1038/s41545-023-00222-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Calle, Eusebi
Martínez, David
Buttiglieri, Gianluigi
Corominas, Lluís
Farreras, Miquel
Saló-Grau, Joan
Vilà, Pere
Pueyo-Ros, Josep
Comas, Joaquim
Optimal design of water reuse networks in cities through decision support tool development and testing
title Optimal design of water reuse networks in cities through decision support tool development and testing
title_full Optimal design of water reuse networks in cities through decision support tool development and testing
title_fullStr Optimal design of water reuse networks in cities through decision support tool development and testing
title_full_unstemmed Optimal design of water reuse networks in cities through decision support tool development and testing
title_short Optimal design of water reuse networks in cities through decision support tool development and testing
title_sort optimal design of water reuse networks in cities through decision support tool development and testing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020772/
https://www.ncbi.nlm.nih.gov/pubmed/36945314
http://dx.doi.org/10.1038/s41545-023-00222-4
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