Optimizing sensor placement for enhanced observability in water distribution networks

Autores
Rodriguez Aguilar, Leandro Pedro Faustino; Fernández Puchol, María Cecilia; Pantano, Maria Nadia; Scaglia, Gustavo Juan Eduardo; Keesman, K. J.
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Water is a valuable, but limited resource. At least half of the world’s population lives under high water scarcity. The water distribution networks (WDNs) are essential for ensuring the supply of potable water to communities and urban areas, and leaks represent a major problem for proper water resource management. Many methods, based on the system observability, have been developed to detect these leaks with the aim of minimizing their damage. This property strongly depends on the structure of the sensor network installed, and is calculated using the singular values of the system observability Gramian. The aim of this work is to investigate and demonstrate a strategy for sensors location with observability purposes in WDNs. A tolerable observability degree degradation factor is defined, and the tradeoff between cost and observability is addressed by formulating binary optimization problems. This approach is appropriate when it is desired to maximize the system observability degree and the instrumentation budget is limited. The resulting optimization problems are nonlinear with binary decision variables and solved using a technique based on genetic algorithms. A linearized state-space model of the Hanoi hydraulic network, taken from the literature, is used to show the proposed instrumentation design methodology.
Fil: Rodriguez Aguilar, Leandro Pedro Faustino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Fernández Puchol, María Cecilia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Pantano, Maria Nadia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Scaglia, Gustavo Juan Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Keesman, K. J.. University of Agriculture Wageningen; Países Bajos
Materia
LEAK DETECTION
OBSERVABILITY DEGREE DEGRADATION FACTOR
OPTIMIZATION SENSORS PLACEMENT
WATER DISTRIBUTION NETWORKS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/273632
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Optimizing sensor placement for enhanced observability in water distribution networksRodriguez Aguilar, Leandro Pedro FaustinoFernández Puchol, María CeciliaPantano, Maria NadiaScaglia, Gustavo Juan EduardoKeesman, K. J.LEAK DETECTIONOBSERVABILITY DEGREE DEGRADATION FACTOROPTIMIZATION SENSORS PLACEMENTWATER DISTRIBUTION NETWORKShttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Water is a valuable, but limited resource. At least half of the world’s population lives under high water scarcity. The water distribution networks (WDNs) are essential for ensuring the supply of potable water to communities and urban areas, and leaks represent a major problem for proper water resource management. Many methods, based on the system observability, have been developed to detect these leaks with the aim of minimizing their damage. This property strongly depends on the structure of the sensor network installed, and is calculated using the singular values of the system observability Gramian. The aim of this work is to investigate and demonstrate a strategy for sensors location with observability purposes in WDNs. A tolerable observability degree degradation factor is defined, and the tradeoff between cost and observability is addressed by formulating binary optimization problems. This approach is appropriate when it is desired to maximize the system observability degree and the instrumentation budget is limited. The resulting optimization problems are nonlinear with binary decision variables and solved using a technique based on genetic algorithms. A linearized state-space model of the Hanoi hydraulic network, taken from the literature, is used to show the proposed instrumentation design methodology.Fil: Rodriguez Aguilar, Leandro Pedro Faustino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaFil: Fernández Puchol, María Cecilia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaFil: Pantano, Maria Nadia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Scaglia, Gustavo Juan Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaFil: Keesman, K. J.. University of Agriculture Wageningen; Países BajosIWA Publishing2025-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/273632Rodriguez Aguilar, Leandro Pedro Faustino; Fernández Puchol, María Cecilia; Pantano, Maria Nadia; Scaglia, Gustavo Juan Eduardo; Keesman, K. J.; Optimizing sensor placement for enhanced observability in water distribution networks; IWA Publishing; Journal Of Hydroinformatics; 27; 6; 5-2025; 946-9591464-7141CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iwaponline.com/jh/article/doi/10.2166/hydro.2025.279/108391/Optimizing-sensor-placement-for-enhancedinfo:eu-repo/semantics/altIdentifier/doi/10.2166/hydro.2025.279info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:33:45Zoai:ri.conicet.gov.ar:11336/273632instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:33:45.661CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimizing sensor placement for enhanced observability in water distribution networks
title Optimizing sensor placement for enhanced observability in water distribution networks
spellingShingle Optimizing sensor placement for enhanced observability in water distribution networks
Rodriguez Aguilar, Leandro Pedro Faustino
LEAK DETECTION
OBSERVABILITY DEGREE DEGRADATION FACTOR
OPTIMIZATION SENSORS PLACEMENT
WATER DISTRIBUTION NETWORKS
title_short Optimizing sensor placement for enhanced observability in water distribution networks
title_full Optimizing sensor placement for enhanced observability in water distribution networks
title_fullStr Optimizing sensor placement for enhanced observability in water distribution networks
title_full_unstemmed Optimizing sensor placement for enhanced observability in water distribution networks
title_sort Optimizing sensor placement for enhanced observability in water distribution networks
dc.creator.none.fl_str_mv Rodriguez Aguilar, Leandro Pedro Faustino
Fernández Puchol, María Cecilia
Pantano, Maria Nadia
Scaglia, Gustavo Juan Eduardo
Keesman, K. J.
author Rodriguez Aguilar, Leandro Pedro Faustino
author_facet Rodriguez Aguilar, Leandro Pedro Faustino
Fernández Puchol, María Cecilia
Pantano, Maria Nadia
Scaglia, Gustavo Juan Eduardo
Keesman, K. J.
author_role author
author2 Fernández Puchol, María Cecilia
Pantano, Maria Nadia
Scaglia, Gustavo Juan Eduardo
Keesman, K. J.
author2_role author
author
author
author
dc.subject.none.fl_str_mv LEAK DETECTION
OBSERVABILITY DEGREE DEGRADATION FACTOR
OPTIMIZATION SENSORS PLACEMENT
WATER DISTRIBUTION NETWORKS
topic LEAK DETECTION
OBSERVABILITY DEGREE DEGRADATION FACTOR
OPTIMIZATION SENSORS PLACEMENT
WATER DISTRIBUTION NETWORKS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Water is a valuable, but limited resource. At least half of the world’s population lives under high water scarcity. The water distribution networks (WDNs) are essential for ensuring the supply of potable water to communities and urban areas, and leaks represent a major problem for proper water resource management. Many methods, based on the system observability, have been developed to detect these leaks with the aim of minimizing their damage. This property strongly depends on the structure of the sensor network installed, and is calculated using the singular values of the system observability Gramian. The aim of this work is to investigate and demonstrate a strategy for sensors location with observability purposes in WDNs. A tolerable observability degree degradation factor is defined, and the tradeoff between cost and observability is addressed by formulating binary optimization problems. This approach is appropriate when it is desired to maximize the system observability degree and the instrumentation budget is limited. The resulting optimization problems are nonlinear with binary decision variables and solved using a technique based on genetic algorithms. A linearized state-space model of the Hanoi hydraulic network, taken from the literature, is used to show the proposed instrumentation design methodology.
Fil: Rodriguez Aguilar, Leandro Pedro Faustino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Fernández Puchol, María Cecilia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Pantano, Maria Nadia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Scaglia, Gustavo Juan Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Keesman, K. J.. University of Agriculture Wageningen; Países Bajos
description Water is a valuable, but limited resource. At least half of the world’s population lives under high water scarcity. The water distribution networks (WDNs) are essential for ensuring the supply of potable water to communities and urban areas, and leaks represent a major problem for proper water resource management. Many methods, based on the system observability, have been developed to detect these leaks with the aim of minimizing their damage. This property strongly depends on the structure of the sensor network installed, and is calculated using the singular values of the system observability Gramian. The aim of this work is to investigate and demonstrate a strategy for sensors location with observability purposes in WDNs. A tolerable observability degree degradation factor is defined, and the tradeoff between cost and observability is addressed by formulating binary optimization problems. This approach is appropriate when it is desired to maximize the system observability degree and the instrumentation budget is limited. The resulting optimization problems are nonlinear with binary decision variables and solved using a technique based on genetic algorithms. A linearized state-space model of the Hanoi hydraulic network, taken from the literature, is used to show the proposed instrumentation design methodology.
publishDate 2025
dc.date.none.fl_str_mv 2025-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/273632
Rodriguez Aguilar, Leandro Pedro Faustino; Fernández Puchol, María Cecilia; Pantano, Maria Nadia; Scaglia, Gustavo Juan Eduardo; Keesman, K. J.; Optimizing sensor placement for enhanced observability in water distribution networks; IWA Publishing; Journal Of Hydroinformatics; 27; 6; 5-2025; 946-959
1464-7141
CONICET Digital
CONICET
url http://hdl.handle.net/11336/273632
identifier_str_mv Rodriguez Aguilar, Leandro Pedro Faustino; Fernández Puchol, María Cecilia; Pantano, Maria Nadia; Scaglia, Gustavo Juan Eduardo; Keesman, K. J.; Optimizing sensor placement for enhanced observability in water distribution networks; IWA Publishing; Journal Of Hydroinformatics; 27; 6; 5-2025; 946-959
1464-7141
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://iwaponline.com/jh/article/doi/10.2166/hydro.2025.279/108391/Optimizing-sensor-placement-for-enhanced
info:eu-repo/semantics/altIdentifier/doi/10.2166/hydro.2025.279
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv IWA Publishing
publisher.none.fl_str_mv IWA Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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