Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis

Detalhes bibliográficos
Autor(a) principal: Andretta Neto, Jayme José
Data de Publicação: 2021
Outros Autores: Silva, Fernando das Graças Braga da, Silva, Alex Takeo Yasumura Lima, Reis, José Antonio Tosta dos
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/19427
Resumo: The rational consumption of residential water is one of the main issues to be addressed in today since it represents an important part of the consumption of water resources in our society. Aware of this, an algorithm was developed to aid in the optimization of the use of hydraulic devices in residential environments, testing this proposal in a generic residential environment. In order to reach this objective, market surveys and technical reference were made to collect data from the hydraulic devices and later the genetic algorithm technique was used for optimization processing. As a result, we found a set of optimal scenarios for the use of the devices, ensuring greater water savings at the lowest cost. It was concluded that the work proposes an optimization routine that can have satisfactory applicability for decision making in the optimization of the use of residential hydraulic devices.
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spelling Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysisDesarrollo de rutina computacional con algoritmos genéticos para optimizar el costo del consumo de agua mediante el análisis de dispositivos ahorradores de aguaDesenvolvimento de rotina computacional com algoritmos genéticos para otimização do custo do consumo da água por análise de dispositivos economizadores de água Dispositivos Ahorradores De ÁguaAlgoritmos GenéticosOptimización.Water-saving devicesGenetic algorithmsOptimization.Dispositivos economizadores de águaAlgoritmos GenéticosOtimização.The rational consumption of residential water is one of the main issues to be addressed in today since it represents an important part of the consumption of water resources in our society. Aware of this, an algorithm was developed to aid in the optimization of the use of hydraulic devices in residential environments, testing this proposal in a generic residential environment. In order to reach this objective, market surveys and technical reference were made to collect data from the hydraulic devices and later the genetic algorithm technique was used for optimization processing. As a result, we found a set of optimal scenarios for the use of the devices, ensuring greater water savings at the lowest cost. It was concluded that the work proposes an optimization routine that can have satisfactory applicability for decision making in the optimization of the use of residential hydraulic devices.El consumo racional de agua residencial es uno de los principales temas a abordar en la actualidad ya que representa una parte importante del consumo de recursos hídricos en nuestra sociedad. Consciente de ello, se desarrolló un algoritmo para ayudar en la optimización del uso de dispositivos hidráulicos en entornos residenciales, probando esta propuesta en un entorno residencial genérico. Para alcanzar este objetivo se realizaron estudios de mercado y referencia técnica para la recolección de datos de los dispositivos hidráulicos y posteriormente se utilizó la técnica del algoritmo genético para el procesamiento de optimización. Como resultado, encontramos un conjunto de escenarios óptimos para el uso de los dispositivos, asegurando un mayor ahorro de agua al menor costo. Se concluyó que el trabajo propone una rutina de optimización que puede tener una aplicabilidad satisfactoria para la toma de decisiones en la optimización del uso de dispositivos hidráulicos residenciales.O consumo racional de água residencial é uma das principais questões ambientais na sociedade, visto que este representa um importante fatia do consumo de recursos hídricos. Assim, desenvolveu-se um algoritmo para auxílio na otimização do uso de dispositivos hidráulicos em ambientes residenciais, testando essa proposta em um ambiente residencial genérico. Para alcançar este objetivo, foram feitas pesquisas mercadológicas e de referência técnica para colher dados dos dispositivos hidráulicos e posteriormente utilizado a técnica de algoritmo genético para o processamento da otimização. Como resultado foi encontrado um conjunto de cenários ótimos para a utilização dos dispositivos, garantindo a maior economia de água com o menor custo. Concluiu-se que o trabalho conseguiu propor uma rotina de otimização que pode ter aplicabilidade satisfatória para tomada de decisões na otimização do uso dispositivos hidráulicos residenciais.Research, Society and Development2021-08-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1942710.33448/rsd-v10i11.19427Research, Society and Development; Vol. 10 No. 11; e100101119427Research, Society and Development; Vol. 10 Núm. 11; e100101119427Research, Society and Development; v. 10 n. 11; e1001011194272525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/19427/17309Copyright (c) 2021 Jayme José Andretta Neto; Fernando das Graças Braga da Silva; Alex Takeo Yasumura Lima Silva; José Antonio Tosta dos Reishttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAndretta Neto, Jayme JoséSilva, Fernando das Graças Braga da Silva, Alex Takeo Yasumura LimaReis, José Antonio Tosta dos 2021-10-23T19:01:11Zoai:ojs.pkp.sfu.ca:article/19427Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:39:19.439351Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
Desarrollo de rutina computacional con algoritmos genéticos para optimizar el costo del consumo de agua mediante el análisis de dispositivos ahorradores de agua
Desenvolvimento de rotina computacional com algoritmos genéticos para otimização do custo do consumo da água por análise de dispositivos economizadores de água
title Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
spellingShingle Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
Andretta Neto, Jayme José
Dispositivos Ahorradores De Água
Algoritmos Genéticos
Optimización.
Water-saving devices
Genetic algorithms
Optimization.
Dispositivos economizadores de água
Algoritmos Genéticos
Otimização.
title_short Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
title_full Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
title_fullStr Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
title_full_unstemmed Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
title_sort Development of computational routine with genetic algorithms to optimize the cost of water consumption through water-saving devices analysis
author Andretta Neto, Jayme José
author_facet Andretta Neto, Jayme José
Silva, Fernando das Graças Braga da
Silva, Alex Takeo Yasumura Lima
Reis, José Antonio Tosta dos
author_role author
author2 Silva, Fernando das Graças Braga da
Silva, Alex Takeo Yasumura Lima
Reis, José Antonio Tosta dos
author2_role author
author
author
dc.contributor.author.fl_str_mv Andretta Neto, Jayme José
Silva, Fernando das Graças Braga da
Silva, Alex Takeo Yasumura Lima
Reis, José Antonio Tosta dos
dc.subject.por.fl_str_mv Dispositivos Ahorradores De Água
Algoritmos Genéticos
Optimización.
Water-saving devices
Genetic algorithms
Optimization.
Dispositivos economizadores de água
Algoritmos Genéticos
Otimização.
topic Dispositivos Ahorradores De Água
Algoritmos Genéticos
Optimización.
Water-saving devices
Genetic algorithms
Optimization.
Dispositivos economizadores de água
Algoritmos Genéticos
Otimização.
description The rational consumption of residential water is one of the main issues to be addressed in today since it represents an important part of the consumption of water resources in our society. Aware of this, an algorithm was developed to aid in the optimization of the use of hydraulic devices in residential environments, testing this proposal in a generic residential environment. In order to reach this objective, market surveys and technical reference were made to collect data from the hydraulic devices and later the genetic algorithm technique was used for optimization processing. As a result, we found a set of optimal scenarios for the use of the devices, ensuring greater water savings at the lowest cost. It was concluded that the work proposes an optimization routine that can have satisfactory applicability for decision making in the optimization of the use of residential hydraulic devices.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/19427
10.33448/rsd-v10i11.19427
url https://rsdjournal.org/index.php/rsd/article/view/19427
identifier_str_mv 10.33448/rsd-v10i11.19427
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/19427/17309
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 11; e100101119427
Research, Society and Development; Vol. 10 Núm. 11; e100101119427
Research, Society and Development; v. 10 n. 11; e100101119427
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052808222998528

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