Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.

Detalhes bibliográficos
Autor(a) principal: ANDRADE, E. T. de
Data de Publicação: 2023
Outros Autores: REZENDE, R. P., BORÉM, F. M., ROSA, S. D. V. F. da, OLIVEIRA, F. da S. de, RIOS, P. A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159455
https://doi.org/10.5902/2179460X74111
Resumo: The storage of agricultural products is of great importance in maintaining product quality between harvest and commercialization. The use of numerical and computational techniques, such as the finite element method (FEM) and computational fluid dynamics (CFD), allows the analysis and simulation of systems that involve heat transfer, as is the case of grain storage. A computational model based on these techniques that satisfactorily represents a real system was used to test and to analyze decision alternatives without the need for real experimentation. In this study, we sought to study the behavior of the temperature of a mass of stored mocha coffee beans by using computational techniques, as requested by the private sector. The coffee was stored for 6 months in two types of environments: a cooled environment between 15 and 18 °C by using an air temperature control equipment used for artificial cooling and a natural environment. A computational model was developed to simulate the heat transfer process for both types of storage. In the comparison of the temperature distribution during storage from simulation results and for experimental results, an overall mean relative error of 2.34% was obtained for coffee stored in a natural environment, and that of 5.74% was obtained for coffee stored in a cooled environment.
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spelling Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.Drying temperatureTemperatureStored grainCoffee beansCold storageThe storage of agricultural products is of great importance in maintaining product quality between harvest and commercialization. The use of numerical and computational techniques, such as the finite element method (FEM) and computational fluid dynamics (CFD), allows the analysis and simulation of systems that involve heat transfer, as is the case of grain storage. A computational model based on these techniques that satisfactorily represents a real system was used to test and to analyze decision alternatives without the need for real experimentation. In this study, we sought to study the behavior of the temperature of a mass of stored mocha coffee beans by using computational techniques, as requested by the private sector. The coffee was stored for 6 months in two types of environments: a cooled environment between 15 and 18 °C by using an air temperature control equipment used for artificial cooling and a natural environment. A computational model was developed to simulate the heat transfer process for both types of storage. In the comparison of the temperature distribution during storage from simulation results and for experimental results, an overall mean relative error of 2.34% was obtained for coffee stored in a natural environment, and that of 5.74% was obtained for coffee stored in a cooled environment.EDNILTON TAVARES DE ANDRADE, UNIVERSIDADE FEDERAL DE LAVRAS; RENAN PEREIRA REZENDE, UNIVERSIDADE FEDERAL DE LAVRAS; FLÁVIO MEIRA BORÉM, UNIVERSIDADE FEDERAL DE LAVRAS; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; FILIPE DA SILVA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE LAVRAS; PAULA ALMEIDA RIOS, UNIVERSIDADE FEDERAL DE LAVRAS.ANDRADE, E. T. deREZENDE, R. P.BORÉM, F. M.ROSA, S. D. V. F. daOLIVEIRA, F. da S. deRIOS, P. A.2023-12-11T15:32:37Z2023-12-11T15:32:37Z2023-12-112023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article28 p.Ciência e Natura, v. 45, e12, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159455https://doi.org/10.5902/2179460X74111enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-12-11T15:32:37Zoai:www.alice.cnptia.embrapa.br:doc/1159455Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-12-11T15:32:37falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-12-11T15:32:37Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
title Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
spellingShingle Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
ANDRADE, E. T. de
Drying temperature
Temperature
Stored grain
Coffee beans
Cold storage
title_short Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
title_full Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
title_fullStr Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
title_full_unstemmed Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
title_sort Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
author ANDRADE, E. T. de
author_facet ANDRADE, E. T. de
REZENDE, R. P.
BORÉM, F. M.
ROSA, S. D. V. F. da
OLIVEIRA, F. da S. de
RIOS, P. A.
author_role author
author2 REZENDE, R. P.
BORÉM, F. M.
ROSA, S. D. V. F. da
OLIVEIRA, F. da S. de
RIOS, P. A.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv EDNILTON TAVARES DE ANDRADE, UNIVERSIDADE FEDERAL DE LAVRAS; RENAN PEREIRA REZENDE, UNIVERSIDADE FEDERAL DE LAVRAS; FLÁVIO MEIRA BORÉM, UNIVERSIDADE FEDERAL DE LAVRAS; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; FILIPE DA SILVA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE LAVRAS; PAULA ALMEIDA RIOS, UNIVERSIDADE FEDERAL DE LAVRAS.
dc.contributor.author.fl_str_mv ANDRADE, E. T. de
REZENDE, R. P.
BORÉM, F. M.
ROSA, S. D. V. F. da
OLIVEIRA, F. da S. de
RIOS, P. A.
dc.subject.por.fl_str_mv Drying temperature
Temperature
Stored grain
Coffee beans
Cold storage
topic Drying temperature
Temperature
Stored grain
Coffee beans
Cold storage
description The storage of agricultural products is of great importance in maintaining product quality between harvest and commercialization. The use of numerical and computational techniques, such as the finite element method (FEM) and computational fluid dynamics (CFD), allows the analysis and simulation of systems that involve heat transfer, as is the case of grain storage. A computational model based on these techniques that satisfactorily represents a real system was used to test and to analyze decision alternatives without the need for real experimentation. In this study, we sought to study the behavior of the temperature of a mass of stored mocha coffee beans by using computational techniques, as requested by the private sector. The coffee was stored for 6 months in two types of environments: a cooled environment between 15 and 18 °C by using an air temperature control equipment used for artificial cooling and a natural environment. A computational model was developed to simulate the heat transfer process for both types of storage. In the comparison of the temperature distribution during storage from simulation results and for experimental results, an overall mean relative error of 2.34% was obtained for coffee stored in a natural environment, and that of 5.74% was obtained for coffee stored in a cooled environment.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-11T15:32:37Z
2023-12-11T15:32:37Z
2023-12-11
2023
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Ciência e Natura, v. 45, e12, 2023.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159455
https://doi.org/10.5902/2179460X74111
identifier_str_mv Ciência e Natura, v. 45, e12, 2023.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159455
https://doi.org/10.5902/2179460X74111
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 28 p.
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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