Otimização multiobjetivo da operação de sistemas de distribuição de água com bombas de rotação variável

Detalhes bibliográficos
Autor(a) principal: Santos, Layara de Paula Sousa
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.
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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). 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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
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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
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language por
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dc.relation.confidence.fl_str_mv 600
600
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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
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