Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
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/10316/101474 https://doi.org/10.3390/w12123404 |
Resumo: | The traditional approach for the optimization of water distribution networks (WDNs) does not always lead to consistent solutions from an operational point of view. The latest optimization algorithms identify solutions that are “the best solutions” in mathematical terms but that can be less than robust against changes in operating conditions, resulting in the worst case in hydraulically infeasible configurations. Thus, this paper aims to provide a methodology that can synthesize the network performance capabilities under the change in operating conditions with two convergent strategies. The first consists of the implementation of new performance indices (PIs), the demand deficit and the pressure range, and the evaluation of their ability to criticality highlight in operating conditions. The second is the introduction of a new approach to weight the infeasible solutions in the final result, which are those inconsistent with the real hydraulic network performances. The analysis shows that the use of these new indices makes it easier to understand the behavior of the network and to identify any weaknesses. This is true if these indices consider the hydraulically inconsistent solutions that may arise from the simulations of di erent operation conditions; otherwise, results that poorly represent the real behavior of the network would be obtained. |
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Functional Feasibility in Optimal Evaluation of Water Distribution Network Performanceswater distribution systemsoptimizationperformance indicesThe traditional approach for the optimization of water distribution networks (WDNs) does not always lead to consistent solutions from an operational point of view. The latest optimization algorithms identify solutions that are “the best solutions” in mathematical terms but that can be less than robust against changes in operating conditions, resulting in the worst case in hydraulically infeasible configurations. Thus, this paper aims to provide a methodology that can synthesize the network performance capabilities under the change in operating conditions with two convergent strategies. The first consists of the implementation of new performance indices (PIs), the demand deficit and the pressure range, and the evaluation of their ability to criticality highlight in operating conditions. The second is the introduction of a new approach to weight the infeasible solutions in the final result, which are those inconsistent with the real hydraulic network performances. The analysis shows that the use of these new indices makes it easier to understand the behavior of the network and to identify any weaknesses. This is true if these indices consider the hydraulically inconsistent solutions that may arise from the simulations of di erent operation conditions; otherwise, results that poorly represent the real behavior of the network would be obtained.2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/101474http://hdl.handle.net/10316/101474https://doi.org/10.3390/w12123404eng2073-4441Fuso, FlaviaCunha, Maria C.Becciu, Gianfrancoinfo: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:RCAAP2022-08-26T20:57:14Zoai:estudogeral.uc.pt:10316/101474Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:18:39.606383Repositório 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 |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances |
title |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances |
spellingShingle |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances Fuso, Flavia water distribution systems optimization performance indices |
title_short |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances |
title_full |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances |
title_fullStr |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances |
title_full_unstemmed |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances |
title_sort |
Functional Feasibility in Optimal Evaluation of Water Distribution Network Performances |
author |
Fuso, Flavia |
author_facet |
Fuso, Flavia Cunha, Maria C. Becciu, Gianfranco |
author_role |
author |
author2 |
Cunha, Maria C. Becciu, Gianfranco |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Fuso, Flavia Cunha, Maria C. Becciu, Gianfranco |
dc.subject.por.fl_str_mv |
water distribution systems optimization performance indices |
topic |
water distribution systems optimization performance indices |
description |
The traditional approach for the optimization of water distribution networks (WDNs) does not always lead to consistent solutions from an operational point of view. The latest optimization algorithms identify solutions that are “the best solutions” in mathematical terms but that can be less than robust against changes in operating conditions, resulting in the worst case in hydraulically infeasible configurations. Thus, this paper aims to provide a methodology that can synthesize the network performance capabilities under the change in operating conditions with two convergent strategies. The first consists of the implementation of new performance indices (PIs), the demand deficit and the pressure range, and the evaluation of their ability to criticality highlight in operating conditions. The second is the introduction of a new approach to weight the infeasible solutions in the final result, which are those inconsistent with the real hydraulic network performances. The analysis shows that the use of these new indices makes it easier to understand the behavior of the network and to identify any weaknesses. This is true if these indices consider the hydraulically inconsistent solutions that may arise from the simulations of di erent operation conditions; otherwise, results that poorly represent the real behavior of the network would be obtained. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
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/10316/101474 http://hdl.handle.net/10316/101474 https://doi.org/10.3390/w12123404 |
url |
http://hdl.handle.net/10316/101474 https://doi.org/10.3390/w12123404 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2073-4441 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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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1799134081016922112 |