Multi-objective optimization of pressure sensor location for burst detection and network calibration
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10400.26/49676 |
Resumo: | This paper proposes a methodology to determine the optimal location of pressure sensors for the simul- taneous calibration of the hydraulic network model and the detection of pipe bursts. The methodology considers a search space reduction process and aims at maximizing nodal pressure sensitivities to both pipe roughness coefficients and pipe burst sizes. A multi-objective optimization problem is formulated for a given number of sensors and multiple optimal configurations of pressure sensors are obtained. Three different optimal configurations are selected and compared: one solution that individually maximizes each objective function (two solutions) and one trade-off solution. The methodology is applied to a real water distribution network with hourly consumption data. Results demonstrate that (i) the optimal loca- tion of pressure sensors hardly changes with the perturbation values used to numerically compute the sensitivities and (ii) minor differences can be found in the performance of pipe roughness calibration and pipe burst location by using either a solution that individually maximizes each objective function or the trade-off solution considering the high number of pressure sensors (26) and the oversized pipe diameters to comply with firefighting conditions, being pressure less sensitive to friction and flow rate changes. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Multi-objective optimization of pressure sensor location for burst detection and network calibrationThis paper proposes a methodology to determine the optimal location of pressure sensors for the simul- taneous calibration of the hydraulic network model and the detection of pipe bursts. The methodology considers a search space reduction process and aims at maximizing nodal pressure sensitivities to both pipe roughness coefficients and pipe burst sizes. A multi-objective optimization problem is formulated for a given number of sensors and multiple optimal configurations of pressure sensors are obtained. Three different optimal configurations are selected and compared: one solution that individually maximizes each objective function (two solutions) and one trade-off solution. The methodology is applied to a real water distribution network with hourly consumption data. Results demonstrate that (i) the optimal loca- tion of pressure sensors hardly changes with the perturbation values used to numerically compute the sensitivities and (ii) minor differences can be found in the performance of pipe roughness calibration and pipe burst location by using either a solution that individually maximizes each objective function or the trade-off solution considering the high number of pressure sensors (26) and the oversized pipe diameters to comply with firefighting conditions, being pressure less sensitive to friction and flow rate changes.Repositório ComumFerreira, BrunoAntunes, AndréCarriço, NelsonCovas, Dídia2024-02-07T11:21:47Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/49676engBruno Ferreira, André Antunes,Ferreira, B., Antunes, A., Carriço, N., & Covas, D. (2022).Multi-objective optimization of pressure sensor location for burst detection and network calibration. Computers & Chemical Engineering, 162, 107826,0098-1354https://doi.org/10.1016/j.compchemeng.2022.107826metadata only accessinfo: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:RCAAP2024-02-25T04:56:35Zoai:comum.rcaap.pt:10400.26/49676Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:37:45.155684Repositório 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 |
Multi-objective optimization of pressure sensor location for burst detection and network calibration |
title |
Multi-objective optimization of pressure sensor location for burst detection and network calibration |
spellingShingle |
Multi-objective optimization of pressure sensor location for burst detection and network calibration Ferreira, Bruno |
title_short |
Multi-objective optimization of pressure sensor location for burst detection and network calibration |
title_full |
Multi-objective optimization of pressure sensor location for burst detection and network calibration |
title_fullStr |
Multi-objective optimization of pressure sensor location for burst detection and network calibration |
title_full_unstemmed |
Multi-objective optimization of pressure sensor location for burst detection and network calibration |
title_sort |
Multi-objective optimization of pressure sensor location for burst detection and network calibration |
author |
Ferreira, Bruno |
author_facet |
Ferreira, Bruno Antunes, André Carriço, Nelson Covas, Dídia |
author_role |
author |
author2 |
Antunes, André Carriço, Nelson Covas, Dídia |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Ferreira, Bruno Antunes, André Carriço, Nelson Covas, Dídia |
description |
This paper proposes a methodology to determine the optimal location of pressure sensors for the simul- taneous calibration of the hydraulic network model and the detection of pipe bursts. The methodology considers a search space reduction process and aims at maximizing nodal pressure sensitivities to both pipe roughness coefficients and pipe burst sizes. A multi-objective optimization problem is formulated for a given number of sensors and multiple optimal configurations of pressure sensors are obtained. Three different optimal configurations are selected and compared: one solution that individually maximizes each objective function (two solutions) and one trade-off solution. The methodology is applied to a real water distribution network with hourly consumption data. Results demonstrate that (i) the optimal loca- tion of pressure sensors hardly changes with the perturbation values used to numerically compute the sensitivities and (ii) minor differences can be found in the performance of pipe roughness calibration and pipe burst location by using either a solution that individually maximizes each objective function or the trade-off solution considering the high number of pressure sensors (26) and the oversized pipe diameters to comply with firefighting conditions, being pressure less sensitive to friction and flow rate changes. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z 2024-02-07T11:21:47Z |
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/10400.26/49676 |
url |
http://hdl.handle.net/10400.26/49676 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Bruno Ferreira, André Antunes,Ferreira, B., Antunes, A., Carriço, N., & Covas, D. (2022).Multi-objective optimization of pressure sensor location for burst detection and network calibration. Computers & Chemical Engineering, 162, 107826, 0098-1354 https://doi.org/10.1016/j.compchemeng.2022.107826 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
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 |
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1799137428454244352 |