Optimization of Multi-Effect Evaporation desalination plants

Autores
Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper focuses on the mathematical modeling and optimization of Multi-Effect Evaporation plants (MEE). A simplified and detailed enough model to accurately predict the MEE system performance is presented. The model is highly nonlinear and it is based on mass and energy balances which are derived from a superstructure. The superstructure involves several process configurations which have to be simultaneously optimized to determine the best stream flow-patterns (synthesis), the size of each evaporation effect (sizing) and the operating conditions of the whole process. Beside the conventional configuration, the model also includes different alternative flow- patterns for the distillate and the vapor streams. An equation-oriented environment was selected to develop and implement the model, allowing different application instances, such as simulation, sensitivity analysis and optimization, to be easily performed. Simulation results have shown a good agreement with realistic design data and other authors´ results. A ranking of themodel parameters is presented according to their impact on the heat transfer area. Moreover, optimization results showed that themodification of the flowpatterns improve the process performance, reducing the process specific total heat transfer area in about 5% compared to the optimal value of the conventional case.
Fil: Druetta, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Materia
Multi-Effect Evaporation System
Optimization
Non-Linear Programming (Nlp)
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6913
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/6913
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimization of Multi-Effect Evaporation desalination plantsDruetta, PaulaAguirre, Pio AntonioMussati, Sergio FabianMulti-Effect Evaporation SystemOptimizationNon-Linear Programming (Nlp)https://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper focuses on the mathematical modeling and optimization of Multi-Effect Evaporation plants (MEE). A simplified and detailed enough model to accurately predict the MEE system performance is presented. The model is highly nonlinear and it is based on mass and energy balances which are derived from a superstructure. The superstructure involves several process configurations which have to be simultaneously optimized to determine the best stream flow-patterns (synthesis), the size of each evaporation effect (sizing) and the operating conditions of the whole process. Beside the conventional configuration, the model also includes different alternative flow- patterns for the distillate and the vapor streams. An equation-oriented environment was selected to develop and implement the model, allowing different application instances, such as simulation, sensitivity analysis and optimization, to be easily performed. Simulation results have shown a good agreement with realistic design data and other authors´ results. A ranking of themodel parameters is presented according to their impact on the heat transfer area. Moreover, optimization results showed that themodification of the flowpatterns improve the process performance, reducing the process specific total heat transfer area in about 5% compared to the optimal value of the conventional case.Fil: Druetta, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaElsevier2013-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6913Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Optimization of Multi-Effect Evaporation desalination plants; Elsevier; Desalination; 311; 1-2013; 1-150011-9164enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0011916412005905info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1016/j.desal.2012.10.033info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:08:17Zoai:ri.conicet.gov.ar:11336/6913instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:08:17.426CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimization of Multi-Effect Evaporation desalination plants
title Optimization of Multi-Effect Evaporation desalination plants
spellingShingle Optimization of Multi-Effect Evaporation desalination plants
Druetta, Paula
Multi-Effect Evaporation System
Optimization
Non-Linear Programming (Nlp)
title_short Optimization of Multi-Effect Evaporation desalination plants
title_full Optimization of Multi-Effect Evaporation desalination plants
title_fullStr Optimization of Multi-Effect Evaporation desalination plants
title_full_unstemmed Optimization of Multi-Effect Evaporation desalination plants
title_sort Optimization of Multi-Effect Evaporation desalination plants
dc.creator.none.fl_str_mv Druetta, Paula
Aguirre, Pio Antonio
Mussati, Sergio Fabian
author Druetta, Paula
author_facet Druetta, Paula
Aguirre, Pio Antonio
Mussati, Sergio Fabian
author_role author
author2 Aguirre, Pio Antonio
Mussati, Sergio Fabian
author2_role author
author
dc.subject.none.fl_str_mv Multi-Effect Evaporation System
Optimization
Non-Linear Programming (Nlp)
topic Multi-Effect Evaporation System
Optimization
Non-Linear Programming (Nlp)
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper focuses on the mathematical modeling and optimization of Multi-Effect Evaporation plants (MEE). A simplified and detailed enough model to accurately predict the MEE system performance is presented. The model is highly nonlinear and it is based on mass and energy balances which are derived from a superstructure. The superstructure involves several process configurations which have to be simultaneously optimized to determine the best stream flow-patterns (synthesis), the size of each evaporation effect (sizing) and the operating conditions of the whole process. Beside the conventional configuration, the model also includes different alternative flow- patterns for the distillate and the vapor streams. An equation-oriented environment was selected to develop and implement the model, allowing different application instances, such as simulation, sensitivity analysis and optimization, to be easily performed. Simulation results have shown a good agreement with realistic design data and other authors´ results. A ranking of themodel parameters is presented according to their impact on the heat transfer area. Moreover, optimization results showed that themodification of the flowpatterns improve the process performance, reducing the process specific total heat transfer area in about 5% compared to the optimal value of the conventional case.
Fil: Druetta, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
description This paper focuses on the mathematical modeling and optimization of Multi-Effect Evaporation plants (MEE). A simplified and detailed enough model to accurately predict the MEE system performance is presented. The model is highly nonlinear and it is based on mass and energy balances which are derived from a superstructure. The superstructure involves several process configurations which have to be simultaneously optimized to determine the best stream flow-patterns (synthesis), the size of each evaporation effect (sizing) and the operating conditions of the whole process. Beside the conventional configuration, the model also includes different alternative flow- patterns for the distillate and the vapor streams. An equation-oriented environment was selected to develop and implement the model, allowing different application instances, such as simulation, sensitivity analysis and optimization, to be easily performed. Simulation results have shown a good agreement with realistic design data and other authors´ results. A ranking of themodel parameters is presented according to their impact on the heat transfer area. Moreover, optimization results showed that themodification of the flowpatterns improve the process performance, reducing the process specific total heat transfer area in about 5% compared to the optimal value of the conventional case.
publishDate 2013
dc.date.none.fl_str_mv 2013-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/6913
Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Optimization of Multi-Effect Evaporation desalination plants; Elsevier; Desalination; 311; 1-2013; 1-15
0011-9164
url http://hdl.handle.net/11336/6913
identifier_str_mv Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Optimization of Multi-Effect Evaporation desalination plants; Elsevier; Desalination; 311; 1-2013; 1-15
0011-9164
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0011916412005905
info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.desal.2012.10.033
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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