Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/49673 |
Resumo: | This article proposes a novel methodology to determine the optimal number of pressure sensors for the real-time monitoring of water distribution networks based on a quality hypervolume indicator. The proposed methodology solves the optimization problem for different numbers of pressure sensors, assesses the gain of installing each set of sensors by means of the hypervolume indicator and determines the optimal number of sensors by the variation of the hypervolume indicator. The methodology was applied to a real case study. Several robustness analyses were carried out. The results demonstrate that the methodology is hardly influenced by the method parameters and that a reasonable estimation of the optimal number of sensors can be easily achieved. |
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Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicatorReal-time monitoring;Pressure sensorsOptimizationMulti-objectiveHypervolumeThis article proposes a novel methodology to determine the optimal number of pressure sensors for the real-time monitoring of water distribution networks based on a quality hypervolume indicator. The proposed methodology solves the optimization problem for different numbers of pressure sensors, assesses the gain of installing each set of sensors by means of the hypervolume indicator and determines the optimal number of sensors by the variation of the hypervolume indicator. The methodology was applied to a real case study. Several robustness analyses were carried out. The results demonstrate that the methodology is hardly influenced by the method parameters and that a reasonable estimation of the optimal number of sensors can be easily achieved.Repositório ComumFerreira, BrunoCarriço, NelsonCovas, Dídia2024-02-07T10:58:57Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/49673engFerreira, B., Carriço, N., & Covas, D. (2021). Optimal Number of Pressure Sensors for Real-Time Monitoring of Distribution Networks by Using the Hypervolume Indicator. Water, 13, 2235.2073-4441info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-25T04:56:34Zoai:comum.rcaap.pt:10400.26/49673Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:37:45.032829Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator |
title |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator |
spellingShingle |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator Ferreira, Bruno Real-time monitoring; Pressure sensors Optimization Multi-objective Hypervolume |
title_short |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator |
title_full |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator |
title_fullStr |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator |
title_full_unstemmed |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator |
title_sort |
Optimal number of pressure sensors for real-time monitoring of distribution networks by using the hypervolume indicator |
author |
Ferreira, Bruno |
author_facet |
Ferreira, Bruno Carriço, Nelson Covas, Dídia |
author_role |
author |
author2 |
Carriço, Nelson Covas, Dídia |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Ferreira, Bruno Carriço, Nelson Covas, Dídia |
dc.subject.por.fl_str_mv |
Real-time monitoring; Pressure sensors Optimization Multi-objective Hypervolume |
topic |
Real-time monitoring; Pressure sensors Optimization Multi-objective Hypervolume |
description |
This article proposes a novel methodology to determine the optimal number of pressure sensors for the real-time monitoring of water distribution networks based on a quality hypervolume indicator. The proposed methodology solves the optimization problem for different numbers of pressure sensors, assesses the gain of installing each set of sensors by means of the hypervolume indicator and determines the optimal number of sensors by the variation of the hypervolume indicator. The methodology was applied to a real case study. Several robustness analyses were carried out. The results demonstrate that the methodology is hardly influenced by the method parameters and that a reasonable estimation of the optimal number of sensors can be easily achieved. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2024-02-07T10:58:57Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/49673 |
url |
http://hdl.handle.net/10400.26/49673 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ferreira, B., Carriço, N., & Covas, D. (2021). Optimal Number of Pressure Sensors for Real-Time Monitoring of Distribution Networks by Using the Hypervolume Indicator. Water, 13, 2235. 2073-4441 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137428450050048 |