Dynamic modelling of refrigerated truck chambers
Autor(a) principal: | |
---|---|
Data de Publicação: | 2004 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/7254 |
Resumo: | A refrigerated truck chamber is always under variable conditions. Not only weather changes but also loading and unloading processes can make the chamber behaviour dependent on time. A prediction of relevant properties distributions (velocity, temperature and relative humidity) in refrigerated chambers requires the simultaneous solution, by an iteration process, of the three-dimensional non-linear differential equations for the momentum and heat/mass transport. Basically, these two transport phenomena are coupled by the buoyancy force due to natural convection. However, especially for non-steady state thermal conditions, the high computations times become unattractive the simultaneous integration. For the majority of refrigerated truck chambers, in which the air flow is mainly dominated by forced convection, the equations can be decoupled and the two transport phenomena can be treated separately. Therefore, in the case of dynamic (transient) simulation, this strategy makes the problem much simpler and can strongly reduce the computation time. In this study the simulation method described here was applied in a case study modelling (steady and transient) and was validated by measurements taken from an experimental reduced-scale model. |
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Dynamic modelling of refrigerated truck chambersRefrigerated chambersDynamic modellingExperimental validationA refrigerated truck chamber is always under variable conditions. Not only weather changes but also loading and unloading processes can make the chamber behaviour dependent on time. A prediction of relevant properties distributions (velocity, temperature and relative humidity) in refrigerated chambers requires the simultaneous solution, by an iteration process, of the three-dimensional non-linear differential equations for the momentum and heat/mass transport. Basically, these two transport phenomena are coupled by the buoyancy force due to natural convection. However, especially for non-steady state thermal conditions, the high computations times become unattractive the simultaneous integration. For the majority of refrigerated truck chambers, in which the air flow is mainly dominated by forced convection, the equations can be decoupled and the two transport phenomena can be treated separately. Therefore, in the case of dynamic (transient) simulation, this strategy makes the problem much simpler and can strongly reduce the computation time. In this study the simulation method described here was applied in a case study modelling (steady and transient) and was validated by measurements taken from an experimental reduced-scale model.uBibliorumPitarma, R. A.Gaspar, Pedro DinisCarvalho, Milano Gadelha2019-10-15T10:03:59Z20042004-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/7254eng1-85312-705-110.2495/HT040411info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-15T09:46:29Zoai:ubibliorum.ubi.pt:10400.6/7254Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:47:48.966727Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Dynamic modelling of refrigerated truck chambers |
title |
Dynamic modelling of refrigerated truck chambers |
spellingShingle |
Dynamic modelling of refrigerated truck chambers Pitarma, R. A. Refrigerated chambers Dynamic modelling Experimental validation |
title_short |
Dynamic modelling of refrigerated truck chambers |
title_full |
Dynamic modelling of refrigerated truck chambers |
title_fullStr |
Dynamic modelling of refrigerated truck chambers |
title_full_unstemmed |
Dynamic modelling of refrigerated truck chambers |
title_sort |
Dynamic modelling of refrigerated truck chambers |
author |
Pitarma, R. A. |
author_facet |
Pitarma, R. A. Gaspar, Pedro Dinis Carvalho, Milano Gadelha |
author_role |
author |
author2 |
Gaspar, Pedro Dinis Carvalho, Milano Gadelha |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Pitarma, R. A. Gaspar, Pedro Dinis Carvalho, Milano Gadelha |
dc.subject.por.fl_str_mv |
Refrigerated chambers Dynamic modelling Experimental validation |
topic |
Refrigerated chambers Dynamic modelling Experimental validation |
description |
A refrigerated truck chamber is always under variable conditions. Not only weather changes but also loading and unloading processes can make the chamber behaviour dependent on time. A prediction of relevant properties distributions (velocity, temperature and relative humidity) in refrigerated chambers requires the simultaneous solution, by an iteration process, of the three-dimensional non-linear differential equations for the momentum and heat/mass transport. Basically, these two transport phenomena are coupled by the buoyancy force due to natural convection. However, especially for non-steady state thermal conditions, the high computations times become unattractive the simultaneous integration. For the majority of refrigerated truck chambers, in which the air flow is mainly dominated by forced convection, the equations can be decoupled and the two transport phenomena can be treated separately. Therefore, in the case of dynamic (transient) simulation, this strategy makes the problem much simpler and can strongly reduce the computation time. In this study the simulation method described here was applied in a case study modelling (steady and transient) and was validated by measurements taken from an experimental reduced-scale model. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004 2004-01-01T00:00:00Z 2019-10-15T10:03:59Z |
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://hdl.handle.net/10400.6/7254 |
url |
http://hdl.handle.net/10400.6/7254 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1-85312-705-1 10.2495/HT040411 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799136373387558912 |