Proposal of optimal operation strategy applied to water distribution network with statistical approach
Inefficiency of sanitation companies’ operation procedures threatens the population’s future supplies. Thus, it is essential to increase water and energy efficiency in order to meet future demand. Optimization techniques are important tools for the analysis of complex problems, as in distribution ne...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
2020-04-01
|
| Series: | Revista Ambiente & Água |
| Subjects: | |
| Online Access: | https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000200304&lng=en&nrm=iso&tlng=en |
| _version_ | 1811246822669156352 |
|---|---|
| author | Alex Takeo Yasumura Lima Silva Fernando das Graças Braga da Silva André Carlos da Silva José Antonio Tosta dos Reis Claudio Lindemberg de Freitas Victor Eduardo de Mello Valério |
| author_facet | Alex Takeo Yasumura Lima Silva Fernando das Graças Braga da Silva André Carlos da Silva José Antonio Tosta dos Reis Claudio Lindemberg de Freitas Victor Eduardo de Mello Valério |
| author_sort | Alex Takeo Yasumura Lima Silva |
| collection | DOAJ |
| description | Inefficiency of sanitation companies’ operation procedures threatens the population’s future supplies. Thus, it is essential to increase water and energy efficiency in order to meet future demand. Optimization techniques are important tools for the analysis of complex problems, as in distribution networks for supply. Currently, genetic algorithms are recognized by their application in literature. In this regard, an optimization model of water distribution network is proposed, using genetic algorithms. The difference in this research is a methodology based on in-depth analysis of results, using statistics and the design of experimental tools and software. The proposed technique was applied to a theoretical network developed for the study. Preliminary simulations were accomplished using EPANET, representing the main causes of water and energy inefficiency in Brazilian sanitation companies. Some parameters were changed in applying this model, such as reservoir level, pipe diameter, pumping pressures, and valve-closing percentage. These values were established by the design of experimental techniques. As output, we obtained the equation of response surface, optimized, which resulted in values of established hydraulic parameters. From these data, the obtained parameters in computational optimization algorithms were applied, resulting in losses of 26.61%, improvement of 16.19 p.p. with regard to the network without optimization, establishing an operational strategy involving three pumps and a pressure-reducing valve. We conclude that the association of optimization and the planning of experimental techniques constitutes an encouraging method to deal with the complexity of water-distribution network optimization. |
| first_indexed | 2024-04-12T14:58:53Z |
| format | Article |
| id | doaj.art-75fce8e290d4446b88e3bddce7c93b05 |
| institution | Directory Open Access Journal |
| issn | 1980-993X |
| language | English |
| last_indexed | 2024-04-12T14:58:53Z |
| publishDate | 2020-04-01 |
| publisher | Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) |
| record_format | Article |
| series | Revista Ambiente & Água |
| spelling | doaj.art-75fce8e290d4446b88e3bddce7c93b052022-12-22T03:28:08ZengInstituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)Revista Ambiente & Água1980-993X2020-04-0115211210.4136/ambi-agua.2455Proposal of optimal operation strategy applied to water distribution network with statistical approachAlex Takeo Yasumura Lima Silva0https://orcid.org/0000-0003-1883-2414Fernando das Graças Braga da Silva1https://orcid.org/0000-0002-3803-2257André Carlos da Silva2https://orcid.org/0000-0002-8415-700XJosé Antonio Tosta dos Reis3https://orcid.org/0000-0001-9916-1469Claudio Lindemberg de Freitas4https://orcid.org/0000-0002-6136-3169Victor Eduardo de Mello Valério5https://orcid.org/0000-0003-4127-5951Instituto de Recursos Naturais. Universidade Federal de Itajubá (UNIFEI), Avenida BPS, n° 1303, CEP: 37500-903, Itajubá, MG, Brazil. Instituto de Recursos Naturais. Universidade Federal de Itajubá (UNIFEI), Avenida BPS, n° 1303, CEP: 37500-903, Itajubá, MG, Brazil. Instituto de Recursos Naturais. Universidade Federal de Itajubá (UNIFEI), Avenida BPS, n° 1303, CEP: 37500-903, Itajubá, MG, Brazil. Departamento de Engenharia Ambiental. Universidade Federal do Espírito Santo (UFES), Avenida Fernando Ferrari, n° 514, CEP: 29075-910, Vitória, ES, Brazil. Instituto de Recursos Naturais. Universidade Federal de Itajubá (UNIFEI), Avenida BPS, n° 1303, CEP: 37500-903, Itajubá, MG, Brazil. Instituto de Engenharia de Produção e Gestão. Universidade Federal de Itajubá (UNIFEI), Avenida BPS, n° 1303, CEP: 37500-903, Itajubá, MG, Brazil. Inefficiency of sanitation companies’ operation procedures threatens the population’s future supplies. Thus, it is essential to increase water and energy efficiency in order to meet future demand. Optimization techniques are important tools for the analysis of complex problems, as in distribution networks for supply. Currently, genetic algorithms are recognized by their application in literature. In this regard, an optimization model of water distribution network is proposed, using genetic algorithms. The difference in this research is a methodology based on in-depth analysis of results, using statistics and the design of experimental tools and software. The proposed technique was applied to a theoretical network developed for the study. Preliminary simulations were accomplished using EPANET, representing the main causes of water and energy inefficiency in Brazilian sanitation companies. Some parameters were changed in applying this model, such as reservoir level, pipe diameter, pumping pressures, and valve-closing percentage. These values were established by the design of experimental techniques. As output, we obtained the equation of response surface, optimized, which resulted in values of established hydraulic parameters. From these data, the obtained parameters in computational optimization algorithms were applied, resulting in losses of 26.61%, improvement of 16.19 p.p. with regard to the network without optimization, establishing an operational strategy involving three pumps and a pressure-reducing valve. We conclude that the association of optimization and the planning of experimental techniques constitutes an encouraging method to deal with the complexity of water-distribution network optimization.https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000200304&lng=en&nrm=iso&tlng=encomputational modelingdesign of experimentswater losseswater resources |
| spellingShingle | Alex Takeo Yasumura Lima Silva Fernando das Graças Braga da Silva André Carlos da Silva José Antonio Tosta dos Reis Claudio Lindemberg de Freitas Victor Eduardo de Mello Valério Proposal of optimal operation strategy applied to water distribution network with statistical approach Revista Ambiente & Água computational modeling design of experiments water losses water resources |
| title | Proposal of optimal operation strategy applied to water distribution network with statistical approach |
| title_full | Proposal of optimal operation strategy applied to water distribution network with statistical approach |
| title_fullStr | Proposal of optimal operation strategy applied to water distribution network with statistical approach |
| title_full_unstemmed | Proposal of optimal operation strategy applied to water distribution network with statistical approach |
| title_short | Proposal of optimal operation strategy applied to water distribution network with statistical approach |
| title_sort | proposal of optimal operation strategy applied to water distribution network with statistical approach |
| topic | computational modeling design of experiments water losses water resources |
| url | https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000200304&lng=en&nrm=iso&tlng=en |
| work_keys_str_mv | AT alextakeoyasumuralimasilva proposalofoptimaloperationstrategyappliedtowaterdistributionnetworkwithstatisticalapproach AT fernandodasgracasbragadasilva proposalofoptimaloperationstrategyappliedtowaterdistributionnetworkwithstatisticalapproach AT andrecarlosdasilva proposalofoptimaloperationstrategyappliedtowaterdistributionnetworkwithstatisticalapproach AT joseantoniotostadosreis proposalofoptimaloperationstrategyappliedtowaterdistributionnetworkwithstatisticalapproach AT claudiolindembergdefreitas proposalofoptimaloperationstrategyappliedtowaterdistributionnetworkwithstatisticalapproach AT victoreduardodemellovalerio proposalofoptimaloperationstrategyappliedtowaterdistributionnetworkwithstatisticalapproach |