Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
dARK ID: | ark:/38995/0013000008p58 |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/7941 |
Resumo: | Faced with urban population growth and the importance of water as a limited natural resource, there is a need to implement techniques to reduce the operational costs of water distribution systems and ensure adequate supply. The optimization of pump operation can be used to meet the demands of consumption with a lower energy cost, in addition to maximizing hydraulic reliability. In this work, a hybrid optimization / simulation model was developed based on the multiobjective genetic algorithms and the EPANET hydraulic simulator. The NSGA II (Nondominated Sorting Genetic Algorithm II) method was used to optimize the operation of variable rotation pumps, that is, the decision variables of the problem were the rotation of the pumps for each hour throughout the day. A modification of the original EPANET hydraulic simulator, which does not correctly compute the efficiency of variable-speed pumps, was employed so that the power of each pump, and consequently the cost of electric power, was calculated correctly. The representation of the system in the model was done by means of the configuration of the hypothetical network called ANYTOWN in the EPANET and implementation of the Multiobjective Evolutionary Algorithm, determination of the penalty coefficients and determination of genetic parameters and operators (population, generation number, mutation probability and probability of recombination). The validity test of the developed model was obtained through simulations performed with the input data, including the patterns of variation of the speed of rotation of the pumps. Non-dominated solutions (Pareto Front) were obtained considering first the negative pressure penalty at the nodes and, subsequently, the negative pressure penalties at the nodes and the closure / shutdown of tubes and / or pumps. All points found represent optimal operating solutions for the system considering the period of the last 24 hours for calculating the objective functions. The results obtained for the two previously defined objectives demonstrate the effectiveness of the model, since mainly with adoption of penalty 2, presents adequate pressures at the nodes and adequate water level in the reservoir, with the consequent saving of electric energy and increased hydraulic reliability. |
id |
UFG-2_ebdc98006e96e7119619a47507c0f9b3 |
---|---|
oai_identifier_str |
oai:repositorio.bc.ufg.br:tede/7941 |
network_acronym_str |
UFG-2 |
network_name_str |
Repositório Institucional da UFG |
repository_id_str |
|
spelling |
Soares, Alexandre Keplerhttp://lattes.cnpq.br/3620209642728740Soares, Alexandre Keplerhttp://lattes.cnpq.br/3620209642728740Araújo, José Vicente Granato deSouza, Saulo Bruno Silveira eFormiga, Klebber Teodomiro MartinsVasco, Joel Roberto Guimarãeshttp://lattes.cnpq.br/1404252156957878Santos, Layara de Paula Sousa2017-11-06T09:47:01Z2017-09-29SANTOS, L. P. S. Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável. 2017. 122 f. Dissertação (Mestrado em Engenharia Ambiental e Sanitária) - Universidade Federal de Goiás, Goiânia, 2017.http://repositorio.bc.ufg.br/tede/handle/tede/7941ark:/38995/0013000008p58Faced with urban population growth and the importance of water as a limited natural resource, there is a need to implement techniques to reduce the operational costs of water distribution systems and ensure adequate supply. The optimization of pump operation can be used to meet the demands of consumption with a lower energy cost, in addition to maximizing hydraulic reliability. In this work, a hybrid optimization / simulation model was developed based on the multiobjective genetic algorithms and the EPANET hydraulic simulator. The NSGA II (Nondominated Sorting Genetic Algorithm II) method was used to optimize the operation of variable rotation pumps, that is, the decision variables of the problem were the rotation of the pumps for each hour throughout the day. A modification of the original EPANET hydraulic simulator, which does not correctly compute the efficiency of variable-speed pumps, was employed so that the power of each pump, and consequently the cost of electric power, was calculated correctly. The representation of the system in the model was done by means of the configuration of the hypothetical network called ANYTOWN in the EPANET and implementation of the Multiobjective Evolutionary Algorithm, determination of the penalty coefficients and determination of genetic parameters and operators (population, generation number, mutation probability and probability of recombination). The validity test of the developed model was obtained through simulations performed with the input data, including the patterns of variation of the speed of rotation of the pumps. Non-dominated solutions (Pareto Front) were obtained considering first the negative pressure penalty at the nodes and, subsequently, the negative pressure penalties at the nodes and the closure / shutdown of tubes and / or pumps. All points found represent optimal operating solutions for the system considering the period of the last 24 hours for calculating the objective functions. The results obtained for the two previously defined objectives demonstrate the effectiveness of the model, since mainly with adoption of penalty 2, presents adequate pressures at the nodes and adequate water level in the reservoir, with the consequent saving of electric energy and increased hydraulic reliability.Diante do crescimento populacional urbano e importância da água como recurso natural limitado, verifica-se a necessidade de implementar técnicas com a finalidade de reduzir os custos operacionais dos sistemas de distribuição de água e garantir abastecimento adequado. A otimização da operação de bombas pode ser utilizada com o propósito de atender as demandas de consumo com um menor custo energético, além de maximizar a confiabilidade hidráulica. Neste trabalho, um modelo híbrido de otimização/simulação foi desenvolvido tendo como suporte os algoritmos genéticos multiobjetivo e o simulador hidráulico EPANET. O método NSGA II (Non-dominated Sorting Genetic Algorithm II) foi utilizado para a otimização da operação de bombas de rotação variável, ou seja, as variáveis de decisão do problema foram a rotação das bombas para cada hora ao longo do dia. Uma modificação do simulador hidráulico EPANET original, que não computa corretamente o rendimento de bombas de rotação variável, foi empregada para que as potências de cada bomba e, consequentemente o custo da energia elétrica, fossem calculadas corretamente. Foi realizada a representação do sistema no modelo, por meio da configuração da rede hipotética denominada ANYTOWN no EPANET e implementação do Algoritmo Evolucionário Multiobjetivo, determinação dos coeficientes de penalidade e determinação dos parâmetros e operadores genéticos (população, número de geração, probabilidade de mutação e probabilidade de recombinação). O teste de validade do modelo desenvolvido foi obtido por meio das simulações realizadas com os dados de entrada, incluindo os padrões de variação da velocidade de rotação das bombas. Conjuntos de soluções não dominadas (Frente Pareto) foram obtidos considerando-se primeiramente a penalidade de pressão negativa nos nós e, posteriormente, as penalidades de pressão negativa nos nós e fechamento/desligamento de tubos e/ou bombas. Todos os pontos encontrados representam soluções operacionais ótimas para o sistema considerando-se o período das últimas 24 horas para o cálculo das funções objetivo. Os resultados obtidos para os dois objetivos previamente definidos demonstram a eficácia do modelo, visto que principalmente com adoção da penalidade 2, apresenta pressões adequadas nos nós e nível adequado de água no reservatório, com a consequente economia de energia elétrica e aumento da confiabilidade hidráulica.Submitted by JÚLIO HEBER SILVA (julioheber@yahoo.com.br) on 2017-11-03T13:22:18Z No. of bitstreams: 2 Dissertação - Layara de Paula Sousa Santos - 2017.pdf: 2403100 bytes, checksum: 73792e08ef369454156c844fd7e57d55 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-11-06T09:47:01Z (GMT) No. of bitstreams: 2 Dissertação - Layara de Paula Sousa Santos - 2017.pdf: 2403100 bytes, checksum: 73792e08ef369454156c844fd7e57d55 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2017-11-06T09:47:01Z (GMT). No. of bitstreams: 2 Dissertação - Layara de Paula Sousa Santos - 2017.pdf: 2403100 bytes, checksum: 73792e08ef369454156c844fd7e57d55 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-09-29application/pdfporUniversidade Federal de GoiásPrograma de Pós-graduação em Engenharia Ambiental e Sanitária (EEC)UFGBrasilEscola de Engenharia Civil - EEC (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessOtimização multiobjetivoBombas de rotação variávelCusto energéticoConfiabilidade hidráulicaEPANETMultiobjective optimizationPumps of variable speedEnergy costHydraulic reliabilityEPANETENGENHARIA SANITARIA::RECURSOS HIDRICOSOtimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variávelMultiobjective optimization of the operation of water distribution systems with variable speed pumpsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis8238486861925058269600600600724087251626315585162673199464443160reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://repositorio.bc.ufg.br/tede/bitstreams/eb1a21f4-720e-408b-8b16-958ff7fbdfea/downloadbd3efa91386c1718a7f26a329fdcb468MD51CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://repositorio.bc.ufg.br/tede/bitstreams/dabb8f40-d074-4094-9d3a-cb2b87a456ab/download4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; charset=utf-80http://repositorio.bc.ufg.br/tede/bitstreams/42e7bc4c-716a-4567-8214-1473740f0ef2/downloadd41d8cd98f00b204e9800998ecf8427eMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-80http://repositorio.bc.ufg.br/tede/bitstreams/1d397d39-13a9-4856-b3c3-bf5ea78b23d6/downloadd41d8cd98f00b204e9800998ecf8427eMD54ORIGINALDissertação - Layara de Paula Sousa Santos - 2017.pdfDissertação - Layara de Paula Sousa Santos - 2017.pdfapplication/pdf2403100http://repositorio.bc.ufg.br/tede/bitstreams/c9b09f4f-02ca-4569-98de-a0395d1de22d/download73792e08ef369454156c844fd7e57d55MD55tede/79412017-11-06 07:47:01.457http://creativecommons.org/licenses/by-nc-nd/4.0/Acesso Abertoopen.accessoai:repositorio.bc.ufg.br:tede/7941http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2017-11-06T09:47:01Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.eng.fl_str_mv |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável |
dc.title.alternative.eng.fl_str_mv |
Multiobjective optimization of the operation of water distribution systems with variable speed pumps |
title |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável |
spellingShingle |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável Santos, Layara de Paula Sousa Otimização multiobjetivo Bombas de rotação variável Custo energético Confiabilidade hidráulica EPANET Multiobjective optimization Pumps of variable speed Energy cost Hydraulic reliability EPANET ENGENHARIA SANITARIA::RECURSOS HIDRICOS |
title_short |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável |
title_full |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável |
title_fullStr |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável |
title_full_unstemmed |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável |
title_sort |
Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável |
author |
Santos, Layara de Paula Sousa |
author_facet |
Santos, Layara de Paula Sousa |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Soares, Alexandre Kepler |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/3620209642728740 |
dc.contributor.referee1.fl_str_mv |
Soares, Alexandre Kepler |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/3620209642728740 |
dc.contributor.referee2.fl_str_mv |
Araújo, José Vicente Granato de |
dc.contributor.referee3.fl_str_mv |
Souza, Saulo Bruno Silveira e |
dc.contributor.referee4.fl_str_mv |
Formiga, Klebber Teodomiro Martins |
dc.contributor.referee5.fl_str_mv |
Vasco, Joel Roberto Guimarães |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/1404252156957878 |
dc.contributor.author.fl_str_mv |
Santos, Layara de Paula Sousa |
contributor_str_mv |
Soares, Alexandre Kepler Soares, Alexandre Kepler Araújo, José Vicente Granato de Souza, Saulo Bruno Silveira e Formiga, Klebber Teodomiro Martins Vasco, Joel Roberto Guimarães |
dc.subject.por.fl_str_mv |
Otimização multiobjetivo Bombas de rotação variável Custo energético Confiabilidade hidráulica EPANET |
topic |
Otimização multiobjetivo Bombas de rotação variável Custo energético Confiabilidade hidráulica EPANET Multiobjective optimization Pumps of variable speed Energy cost Hydraulic reliability EPANET ENGENHARIA SANITARIA::RECURSOS HIDRICOS |
dc.subject.eng.fl_str_mv |
Multiobjective optimization Pumps of variable speed Energy cost Hydraulic reliability EPANET |
dc.subject.cnpq.fl_str_mv |
ENGENHARIA SANITARIA::RECURSOS HIDRICOS |
description |
Faced with urban population growth and the importance of water as a limited natural resource, there is a need to implement techniques to reduce the operational costs of water distribution systems and ensure adequate supply. The optimization of pump operation can be used to meet the demands of consumption with a lower energy cost, in addition to maximizing hydraulic reliability. In this work, a hybrid optimization / simulation model was developed based on the multiobjective genetic algorithms and the EPANET hydraulic simulator. The NSGA II (Nondominated Sorting Genetic Algorithm II) method was used to optimize the operation of variable rotation pumps, that is, the decision variables of the problem were the rotation of the pumps for each hour throughout the day. A modification of the original EPANET hydraulic simulator, which does not correctly compute the efficiency of variable-speed pumps, was employed so that the power of each pump, and consequently the cost of electric power, was calculated correctly. The representation of the system in the model was done by means of the configuration of the hypothetical network called ANYTOWN in the EPANET and implementation of the Multiobjective Evolutionary Algorithm, determination of the penalty coefficients and determination of genetic parameters and operators (population, generation number, mutation probability and probability of recombination). The validity test of the developed model was obtained through simulations performed with the input data, including the patterns of variation of the speed of rotation of the pumps. Non-dominated solutions (Pareto Front) were obtained considering first the negative pressure penalty at the nodes and, subsequently, the negative pressure penalties at the nodes and the closure / shutdown of tubes and / or pumps. All points found represent optimal operating solutions for the system considering the period of the last 24 hours for calculating the objective functions. The results obtained for the two previously defined objectives demonstrate the effectiveness of the model, since mainly with adoption of penalty 2, presents adequate pressures at the nodes and adequate water level in the reservoir, with the consequent saving of electric energy and increased hydraulic reliability. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-11-06T09:47:01Z |
dc.date.issued.fl_str_mv |
2017-09-29 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SANTOS, L. P. S. Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável. 2017. 122 f. Dissertação (Mestrado em Engenharia Ambiental e Sanitária) - Universidade Federal de Goiás, Goiânia, 2017. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/7941 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000008p58 |
identifier_str_mv |
SANTOS, L. P. S. Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável. 2017. 122 f. Dissertação (Mestrado em Engenharia Ambiental e Sanitária) - Universidade Federal de Goiás, Goiânia, 2017. ark:/38995/0013000008p58 |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/7941 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
8238486861925058269 |
dc.relation.confidence.fl_str_mv |
600 600 600 |
dc.relation.department.fl_str_mv |
724087251626315585 |
dc.relation.cnpq.fl_str_mv |
162673199464443160 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Engenharia Ambiental e Sanitária (EEC) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Engenharia Civil - EEC (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
http://repositorio.bc.ufg.br/tede/bitstreams/eb1a21f4-720e-408b-8b16-958ff7fbdfea/download http://repositorio.bc.ufg.br/tede/bitstreams/dabb8f40-d074-4094-9d3a-cb2b87a456ab/download http://repositorio.bc.ufg.br/tede/bitstreams/42e7bc4c-716a-4567-8214-1473740f0ef2/download http://repositorio.bc.ufg.br/tede/bitstreams/1d397d39-13a9-4856-b3c3-bf5ea78b23d6/download http://repositorio.bc.ufg.br/tede/bitstreams/c9b09f4f-02ca-4569-98de-a0395d1de22d/download |
bitstream.checksum.fl_str_mv |
bd3efa91386c1718a7f26a329fdcb468 4afdbb8c545fd630ea7db775da747b2f d41d8cd98f00b204e9800998ecf8427e d41d8cd98f00b204e9800998ecf8427e 73792e08ef369454156c844fd7e57d55 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1815172602624212992 |