MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST

Detalhes bibliográficos
Autor(a) principal: Marcuzzo, Francisco Fernando Noronha
Data de Publicação: 2010
Outros Autores: Wendland, Edson Cezar
Tipo de documento: Artigo
Idioma: por
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/35
Resumo: The high installation cost discourages use of low-pressure micro irrigation network. The following study was done to optimize its installation and operational costs considering the different configurations of land slop, and cost of electricity and water. An optimization code was developed in MatLab, considering the loss of total distributed and localized energy loss between the beginning of the network and the pumping device for a standard irrigation network. The decision making variables for optimization with the use of genetic algorithms consisted of the diameter of each stretch of network, predefined as: two options for drip lines, four for derivation lines, four for secondary lines and one for main line. The results show that the network cost varies between 1816.42 and 2312.13 R$.ha-1.year-1. The relative weight of fixed and variable costs of energy and water in the final cost of the irrigation system for different conditions were analyzed.
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spelling MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COSTOTIMIZAÇÃO DE REDE DE IRRIGAÇÃO DE MICROASPERSÃO USANDO ALGORITMOS GENÉTICOS SOB DIFERENTES DECLIVIDADES E TARIFAÇÃO DE ÁGUA E ENERGIA ELÉTRICAirrigação localizadaalgoritmos genéticostarifa da águatarifa de energia elétricaThe high installation cost discourages use of low-pressure micro irrigation network. The following study was done to optimize its installation and operational costs considering the different configurations of land slop, and cost of electricity and water. An optimization code was developed in MatLab, considering the loss of total distributed and localized energy loss between the beginning of the network and the pumping device for a standard irrigation network. The decision making variables for optimization with the use of genetic algorithms consisted of the diameter of each stretch of network, predefined as: two options for drip lines, four for derivation lines, four for secondary lines and one for main line. The results show that the network cost varies between 1816.42 and 2312.13 R$.ha-1.year-1. The relative weight of fixed and variable costs of energy and water in the final cost of the irrigation system for different conditions were analyzed.Os custos de instalação de redes de irrigação localizada tendem a ser elevados, o que inibe a sua utilização. No presente trabalho objetivou-se minimizar os custos de instalação e operação de redes de distribuição de água para irrigação localizada, frente a diferentes configurações de declividade do terreno e tarifação de energia elétrica e água. Para isso, foi desenvolvido um código em MatLab considerando-se todas as perdas de energia distribuídas e localizadas entre o inicio da rede e o conjunto motobomba para uma rede de irrigação padrão. As variáveis de decisão para otimização, com auxilio de algoritmos genéticos, foram os diâmetros de cada trecho da rede, pré-definidos por: dois diâmetros para linhas laterais, quatro para linhas de derivação, quatro para linhas secundárias e um para a linha principal. Os resultados mostram que o custo da rede varia entre 1816,42 e 2312,13 R$ ha-1ano-1. O peso relativo do custo fixo e do custo variável da energia e da água no custo final do sistema de irrigação frente a diferentes condições foi analisado.Universidade Federal de Viçosa - UFV2010-02-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/3510.13083/reveng.v18i1.39Engineering in Agriculture; Vol. 18 No. 1 (2010); 50-62Revista Engenharia na Agricultura - REVENG; v. 18 n. 1 (2010); 50-622175-68131414-398410.13083/reveng.v18i1reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/35/32Marcuzzo, Francisco Fernando NoronhaWendland, Edson Cezarinfo:eu-repo/semantics/openAccess2023-01-19T12:49:28Zoai:ojs.periodicos.ufv.br:article/35Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T12:49:28Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
OTIMIZAÇÃO DE REDE DE IRRIGAÇÃO DE MICROASPERSÃO USANDO ALGORITMOS GENÉTICOS SOB DIFERENTES DECLIVIDADES E TARIFAÇÃO DE ÁGUA E ENERGIA ELÉTRICA
title MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
spellingShingle MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
Marcuzzo, Francisco Fernando Noronha
irrigação localizada
algoritmos genéticos
tarifa da água
tarifa de energia elétrica
title_short MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
title_full MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
title_fullStr MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
title_full_unstemmed MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
title_sort MICRO-SPRINKLER IRRIGATION NETWORK OPTIMIZATION USING GENETIC ALGORITHMS UNDER DIFFERENT LAND SLOP, AND WATER AND ENERGY COST
author Marcuzzo, Francisco Fernando Noronha
author_facet Marcuzzo, Francisco Fernando Noronha
Wendland, Edson Cezar
author_role author
author2 Wendland, Edson Cezar
author2_role author
dc.contributor.author.fl_str_mv Marcuzzo, Francisco Fernando Noronha
Wendland, Edson Cezar
dc.subject.por.fl_str_mv irrigação localizada
algoritmos genéticos
tarifa da água
tarifa de energia elétrica
topic irrigação localizada
algoritmos genéticos
tarifa da água
tarifa de energia elétrica
description The high installation cost discourages use of low-pressure micro irrigation network. The following study was done to optimize its installation and operational costs considering the different configurations of land slop, and cost of electricity and water. An optimization code was developed in MatLab, considering the loss of total distributed and localized energy loss between the beginning of the network and the pumping device for a standard irrigation network. The decision making variables for optimization with the use of genetic algorithms consisted of the diameter of each stretch of network, predefined as: two options for drip lines, four for derivation lines, four for secondary lines and one for main line. The results show that the network cost varies between 1816.42 and 2312.13 R$.ha-1.year-1. The relative weight of fixed and variable costs of energy and water in the final cost of the irrigation system for different conditions were analyzed.
publishDate 2010
dc.date.none.fl_str_mv 2010-02-24
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://periodicos.ufv.br/reveng/article/view/35
10.13083/reveng.v18i1.39
url https://periodicos.ufv.br/reveng/article/view/35
identifier_str_mv 10.13083/reveng.v18i1.39
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/35/32
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 18 No. 1 (2010); 50-62
Revista Engenharia na Agricultura - REVENG; v. 18 n. 1 (2010); 50-62
2175-6813
1414-3984
10.13083/reveng.v18i1
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
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