Minimizing the total cost of multi effect evaporation systems for seawater desalination

Autores
Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A mathematical model developed recently by the authors is extended into a non linear mathematical programming problem to determine the nominal optimal sizing of equipment (heat transfer area) and optimal operation conditions that satisfy a fixed nominal production of fresh water at minimum total annual cost. Relative marginal values computed from the optimized results and a global sensitivity analysis are then used to rank the process parameters according to their influences on the total cost. Once the nominal design and operating conditions are determined, a new optimization problem is stated: Is it possible to increase (using the nominal optimal design) the water production over the nominal capacity of production? Thus, the new optimization problem consists of the maximization of the distillate production. Optimization results for both design problems are presented and discussed in detail. One of the obtained results reveals that the increase of the distillate production in 20% over the nominal capacity (200 kg/s), leads to increases in the total operating cost from 10.8 to 11.4 million US$/yr while the seawater flow rate and the steam temperature increase about 23 and 5%, respectively.
Fil: Druetta, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
Multi-Effect Evaporation Systems
Optimization
Total Annualized Cost
Non-Linear Programming (Nlp)
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/22423
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Minimizing the total cost of multi effect evaporation systems for seawater desalinationDruetta, PaulaAguirre, Pio AntonioMussati, Sergio FabianMulti-Effect Evaporation SystemsOptimizationTotal Annualized CostNon-Linear Programming (Nlp)https://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A mathematical model developed recently by the authors is extended into a non linear mathematical programming problem to determine the nominal optimal sizing of equipment (heat transfer area) and optimal operation conditions that satisfy a fixed nominal production of fresh water at minimum total annual cost. Relative marginal values computed from the optimized results and a global sensitivity analysis are then used to rank the process parameters according to their influences on the total cost. Once the nominal design and operating conditions are determined, a new optimization problem is stated: Is it possible to increase (using the nominal optimal design) the water production over the nominal capacity of production? Thus, the new optimization problem consists of the maximization of the distillate production. Optimization results for both design problems are presented and discussed in detail. One of the obtained results reveals that the increase of the distillate production in 20% over the nominal capacity (200 kg/s), leads to increases in the total operating cost from 10.8 to 11.4 million US$/yr while the seawater flow rate and the steam temperature increase about 23 and 5%, respectively.Fil: Druetta, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaElsevier Science2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22423Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Minimizing the total cost of multi effect evaporation systems for seawater desalination; Elsevier Science; Desalination; 344; 5-2014; 431-4450011-9164CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.desal.2014.04.007info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0011916414002100info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:17:32Zoai:ri.conicet.gov.ar:11336/22423instacron: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:34982025-09-10 13:17:32.865CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Minimizing the total cost of multi effect evaporation systems for seawater desalination
title Minimizing the total cost of multi effect evaporation systems for seawater desalination
spellingShingle Minimizing the total cost of multi effect evaporation systems for seawater desalination
Druetta, Paula
Multi-Effect Evaporation Systems
Optimization
Total Annualized Cost
Non-Linear Programming (Nlp)
title_short Minimizing the total cost of multi effect evaporation systems for seawater desalination
title_full Minimizing the total cost of multi effect evaporation systems for seawater desalination
title_fullStr Minimizing the total cost of multi effect evaporation systems for seawater desalination
title_full_unstemmed Minimizing the total cost of multi effect evaporation systems for seawater desalination
title_sort Minimizing the total cost of multi effect evaporation systems for seawater desalination
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 Systems
Optimization
Total Annualized Cost
Non-Linear Programming (Nlp)
topic Multi-Effect Evaporation Systems
Optimization
Total Annualized Cost
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 A mathematical model developed recently by the authors is extended into a non linear mathematical programming problem to determine the nominal optimal sizing of equipment (heat transfer area) and optimal operation conditions that satisfy a fixed nominal production of fresh water at minimum total annual cost. Relative marginal values computed from the optimized results and a global sensitivity analysis are then used to rank the process parameters according to their influences on the total cost. Once the nominal design and operating conditions are determined, a new optimization problem is stated: Is it possible to increase (using the nominal optimal design) the water production over the nominal capacity of production? Thus, the new optimization problem consists of the maximization of the distillate production. Optimization results for both design problems are presented and discussed in detail. One of the obtained results reveals that the increase of the distillate production in 20% over the nominal capacity (200 kg/s), leads to increases in the total operating cost from 10.8 to 11.4 million US$/yr while the seawater flow rate and the steam temperature increase about 23 and 5%, respectively.
Fil: Druetta, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description A mathematical model developed recently by the authors is extended into a non linear mathematical programming problem to determine the nominal optimal sizing of equipment (heat transfer area) and optimal operation conditions that satisfy a fixed nominal production of fresh water at minimum total annual cost. Relative marginal values computed from the optimized results and a global sensitivity analysis are then used to rank the process parameters according to their influences on the total cost. Once the nominal design and operating conditions are determined, a new optimization problem is stated: Is it possible to increase (using the nominal optimal design) the water production over the nominal capacity of production? Thus, the new optimization problem consists of the maximization of the distillate production. Optimization results for both design problems are presented and discussed in detail. One of the obtained results reveals that the increase of the distillate production in 20% over the nominal capacity (200 kg/s), leads to increases in the total operating cost from 10.8 to 11.4 million US$/yr while the seawater flow rate and the steam temperature increase about 23 and 5%, respectively.
publishDate 2014
dc.date.none.fl_str_mv 2014-05
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/11336/22423
Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Minimizing the total cost of multi effect evaporation systems for seawater desalination; Elsevier Science; Desalination; 344; 5-2014; 431-445
0011-9164
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22423
identifier_str_mv Druetta, Paula; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Minimizing the total cost of multi effect evaporation systems for seawater desalination; Elsevier Science; Desalination; 344; 5-2014; 431-445
0011-9164
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.desal.2014.04.007
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0011916414002100
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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 12.993085

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