Flocculation model applied to adjust operating conditions as flow changes
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5004/dwt.2017.0321 http://hdl.handle.net/11449/174706 |
Resumo: | Higher flows in the flocculation stage of water and wastewater treatment systems can be dealt with by adapting the operating conditions. This study investigates the changes required to maintain the flocculation efficiency. The present study developed a mathematical model that assimilates particle ratio and shear rate with particle aggregation/breakage kinetics. The model allows determining how higher flow rates may respond under new flocculation conditions. The kinetic coefficients of the model were derived from literature sources. The mathematical model enables selecting the most appropriate combinations of operating variables in order to produce specified efficiency ranges. Due to the number of operating variables, the number of possible solutions to the mathematical model may be very large. Therefore, an important result is that the model can select 0.1%–1.9% of the possible combinations in operating variables, thus minimizing the experimental effort required to verify the response in terms of operation changes. |
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Repositório Institucional da UNESP |
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Flocculation model applied to adjust operating conditions as flow changesFlocculation processMathematical modelWater treatmentHigher flows in the flocculation stage of water and wastewater treatment systems can be dealt with by adapting the operating conditions. This study investigates the changes required to maintain the flocculation efficiency. The present study developed a mathematical model that assimilates particle ratio and shear rate with particle aggregation/breakage kinetics. The model allows determining how higher flow rates may respond under new flocculation conditions. The kinetic coefficients of the model were derived from literature sources. The mathematical model enables selecting the most appropriate combinations of operating variables in order to produce specified efficiency ranges. Due to the number of operating variables, the number of possible solutions to the mathematical model may be very large. Therefore, an important result is that the model can select 0.1%–1.9% of the possible combinations in operating variables, thus minimizing the experimental effort required to verify the response in terms of operation changes.Instituto de Geociências e Ciências Exatas UNESP – Univ Estadual Paulista Departamento de Planejamento Territorial e Geoprocessamento, Avenida 24-A, 1515Faculdade de Engenharia de Bauru UNESP – Univ Estadual Paulista, Av. Eng. Luiz Edmundo C. Coube 14-01Faculdade de Ciências Farmacêuticas UNESP – Univ Estadual Paulista Departamento de Bioprocessos e Biotecnologia, Rodovia Araraquara-Jaú km 1Instituto de Geociências e Ciências Exatas UNESP – Univ Estadual Paulista Departamento de Planejamento Territorial e Geoprocessamento, Avenida 24-A, 1515Faculdade de Engenharia de Bauru UNESP – Univ Estadual Paulista, Av. Eng. Luiz Edmundo C. Coube 14-01Faculdade de Ciências Farmacêuticas UNESP – Univ Estadual Paulista Departamento de Bioprocessos e Biotecnologia, Rodovia Araraquara-Jaú km 1Universidade Estadual Paulista (Unesp)Moruzzi, Rodrigo Braga [UNESP]Manetta, Lívia Savioli [UNESP]Oliveira, Samuel Conceição [UNESP]2018-12-11T17:12:31Z2018-12-11T17:12:31Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article55-62http://dx.doi.org/10.5004/dwt.2017.0321Desalination and Water Treatment, v. 58, p. 55-62.1944-39861944-3994http://hdl.handle.net/11449/17470610.5004/dwt.2017.03212-s2.0-85020212957Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengDesalination and Water Treatment0,3980,398info:eu-repo/semantics/openAccess2021-10-23T15:17:14Zoai:repositorio.unesp.br:11449/174706Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:23:10.548596Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Flocculation model applied to adjust operating conditions as flow changes |
title |
Flocculation model applied to adjust operating conditions as flow changes |
spellingShingle |
Flocculation model applied to adjust operating conditions as flow changes Moruzzi, Rodrigo Braga [UNESP] Flocculation process Mathematical model Water treatment |
title_short |
Flocculation model applied to adjust operating conditions as flow changes |
title_full |
Flocculation model applied to adjust operating conditions as flow changes |
title_fullStr |
Flocculation model applied to adjust operating conditions as flow changes |
title_full_unstemmed |
Flocculation model applied to adjust operating conditions as flow changes |
title_sort |
Flocculation model applied to adjust operating conditions as flow changes |
author |
Moruzzi, Rodrigo Braga [UNESP] |
author_facet |
Moruzzi, Rodrigo Braga [UNESP] Manetta, Lívia Savioli [UNESP] Oliveira, Samuel Conceição [UNESP] |
author_role |
author |
author2 |
Manetta, Lívia Savioli [UNESP] Oliveira, Samuel Conceição [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Moruzzi, Rodrigo Braga [UNESP] Manetta, Lívia Savioli [UNESP] Oliveira, Samuel Conceição [UNESP] |
dc.subject.por.fl_str_mv |
Flocculation process Mathematical model Water treatment |
topic |
Flocculation process Mathematical model Water treatment |
description |
Higher flows in the flocculation stage of water and wastewater treatment systems can be dealt with by adapting the operating conditions. This study investigates the changes required to maintain the flocculation efficiency. The present study developed a mathematical model that assimilates particle ratio and shear rate with particle aggregation/breakage kinetics. The model allows determining how higher flow rates may respond under new flocculation conditions. The kinetic coefficients of the model were derived from literature sources. The mathematical model enables selecting the most appropriate combinations of operating variables in order to produce specified efficiency ranges. Due to the number of operating variables, the number of possible solutions to the mathematical model may be very large. Therefore, an important result is that the model can select 0.1%–1.9% of the possible combinations in operating variables, thus minimizing the experimental effort required to verify the response in terms of operation changes. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-12-11T17:12:31Z 2018-12-11T17:12:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5004/dwt.2017.0321 Desalination and Water Treatment, v. 58, p. 55-62. 1944-3986 1944-3994 http://hdl.handle.net/11449/174706 10.5004/dwt.2017.0321 2-s2.0-85020212957 |
url |
http://dx.doi.org/10.5004/dwt.2017.0321 http://hdl.handle.net/11449/174706 |
identifier_str_mv |
Desalination and Water Treatment, v. 58, p. 55-62. 1944-3986 1944-3994 10.5004/dwt.2017.0321 2-s2.0-85020212957 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Desalination and Water Treatment 0,398 0,398 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
55-62 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128225529823232 |