NLP model-based optimal design of LiBr-H2O absorption refrigeration systems

Autores
Mazzei, Maria Sol; Mussati, Miguel Ceferino; Mussati, Sergio Fabian
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper addresses the optimization of a single effect absorption refrigeration system operating with lithium bromide-water solution. A non-linear programming mathematical model is developed to determine the operating conditions and the distribution of the total heat transfer area (sizes) along the involved process units to optimize the following two objective functions: (i) maximization of the coefficient of performance for a given amount of the total heat transfer area, and (ii) minimization of the total heat transfer area of the system for a given cooling capacity. The proposed model can either be used for simulation or optimization purposes. Simulated or optimized values of temperature, pressure, composition and flow rate of all streams and sizing of each process unit are predicted. In addition, because of the non linear nature of the resulting model, a systematic solution procedure is proposed in order to guarantee the model convergence. A detailed discussion of the optimization results are presented through different case studies.
Fil: Mazzei, Maria Sol. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Mussati, Miguel Ceferino. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. 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. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. 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
Libr-H2o Absorption Refrigeration Systems
Optimal Design
Mathematical Programming
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:11336/22425
Acceder
id CONICETDig_4892fb7b118097e2f2c71a09328c6e2c
oai_identifier_str oai:ri.conicet.gov.ar:11336/22425
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling NLP model-based optimal design of LiBr-H2O absorption refrigeration systemsConception optimale basée sur un modèle PNL (Programmation Non Linéaire) pour des systèmes frigorifiques à absorption de LiBr-H2OMazzei, Maria SolMussati, Miguel CeferinoMussati, Sergio FabianLibr-H2o Absorption Refrigeration SystemsOptimal DesignMathematical Programminghttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper addresses the optimization of a single effect absorption refrigeration system operating with lithium bromide-water solution. A non-linear programming mathematical model is developed to determine the operating conditions and the distribution of the total heat transfer area (sizes) along the involved process units to optimize the following two objective functions: (i) maximization of the coefficient of performance for a given amount of the total heat transfer area, and (ii) minimization of the total heat transfer area of the system for a given cooling capacity. The proposed model can either be used for simulation or optimization purposes. Simulated or optimized values of temperature, pressure, composition and flow rate of all streams and sizing of each process unit are predicted. In addition, because of the non linear nature of the resulting model, a systematic solution procedure is proposed in order to guarantee the model convergence. A detailed discussion of the optimization results are presented through different case studies.Fil: Mazzei, Maria Sol. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; ArgentinaFil: Mussati, Miguel Ceferino. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. 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. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. 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; ArgentinaElsevier2013-11info: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/11336/22425Mazzei, Maria Sol; Mussati, Miguel Ceferino; Mussati, Sergio Fabian; NLP model-based optimal design of LiBr-H2O absorption refrigeration systems; Elsevier; International Journal Of Refrigeration; 38; 11-2013; 58-700140-7007CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.ijrefrig.2013.10.012info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0140700713002909info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:32Zoai:ri.conicet.gov.ar:11336/22425instacron: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 10:00:32.74CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
Conception optimale basée sur un modèle PNL (Programmation Non Linéaire) pour des systèmes frigorifiques à absorption de LiBr-H2O
title NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
spellingShingle NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
Mazzei, Maria Sol
Libr-H2o Absorption Refrigeration Systems
Optimal Design
Mathematical Programming
title_short NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
title_full NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
title_fullStr NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
title_full_unstemmed NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
title_sort NLP model-based optimal design of LiBr-H2O absorption refrigeration systems
dc.creator.none.fl_str_mv Mazzei, Maria Sol
Mussati, Miguel Ceferino
Mussati, Sergio Fabian
author Mazzei, Maria Sol
author_facet Mazzei, Maria Sol
Mussati, Miguel Ceferino
Mussati, Sergio Fabian
author_role author
author2 Mussati, Miguel Ceferino
Mussati, Sergio Fabian
author2_role author
author
dc.subject.none.fl_str_mv Libr-H2o Absorption Refrigeration Systems
Optimal Design
Mathematical Programming
topic Libr-H2o Absorption Refrigeration Systems
Optimal Design
Mathematical Programming
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 addresses the optimization of a single effect absorption refrigeration system operating with lithium bromide-water solution. A non-linear programming mathematical model is developed to determine the operating conditions and the distribution of the total heat transfer area (sizes) along the involved process units to optimize the following two objective functions: (i) maximization of the coefficient of performance for a given amount of the total heat transfer area, and (ii) minimization of the total heat transfer area of the system for a given cooling capacity. The proposed model can either be used for simulation or optimization purposes. Simulated or optimized values of temperature, pressure, composition and flow rate of all streams and sizing of each process unit are predicted. In addition, because of the non linear nature of the resulting model, a systematic solution procedure is proposed in order to guarantee the model convergence. A detailed discussion of the optimization results are presented through different case studies.
Fil: Mazzei, Maria Sol. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina
Fil: Mussati, Miguel Ceferino. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. 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. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informaticas y Modelado En Ingeniería; Argentina. 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 This paper addresses the optimization of a single effect absorption refrigeration system operating with lithium bromide-water solution. A non-linear programming mathematical model is developed to determine the operating conditions and the distribution of the total heat transfer area (sizes) along the involved process units to optimize the following two objective functions: (i) maximization of the coefficient of performance for a given amount of the total heat transfer area, and (ii) minimization of the total heat transfer area of the system for a given cooling capacity. The proposed model can either be used for simulation or optimization purposes. Simulated or optimized values of temperature, pressure, composition and flow rate of all streams and sizing of each process unit are predicted. In addition, because of the non linear nature of the resulting model, a systematic solution procedure is proposed in order to guarantee the model convergence. A detailed discussion of the optimization results are presented through different case studies.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
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/11336/22425
Mazzei, Maria Sol; Mussati, Miguel Ceferino; Mussati, Sergio Fabian; NLP model-based optimal design of LiBr-H2O absorption refrigeration systems; Elsevier; International Journal Of Refrigeration; 38; 11-2013; 58-70
0140-7007
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22425
identifier_str_mv Mazzei, Maria Sol; Mussati, Miguel Ceferino; Mussati, Sergio Fabian; NLP model-based optimal design of LiBr-H2O absorption refrigeration systems; Elsevier; International Journal Of Refrigeration; 38; 11-2013; 58-70
0140-7007
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.ijrefrig.2013.10.012
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0140700713002909
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
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
_version_ 1842269644347408384
score 13.13397

Publicaciones similares