Computational tool for the energy efficiency assessment of cheese industries
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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/10400.6/7341 |
Resumo: | Food processing and conservation represent decisive factors for the sustainability of the planet given the significant growth of the world population in the last decades. Therefore, the cooling of any food product has been subject of study and improvement in order to ensure the food supply with good quality and safety. A computational tool for the assessment of the energy performance of cheese industries that use refrigeration systems was developed. It aims to promote the improvement of the energy efficiency of this industrial sector. The computational tool for analysis of the energy profile is based on a set of characteristic parameters used for the development of correlations, including the amount of raw material, annual electrical energy consumption and volume of cold stores. In this paper, the developed computational tool was applied to companies in the dairy sector, specifically to cheese industries, subdivided into industrial and handmade cheese. The results obtained help on the decision making of practice measures for the improvement of the energy efficiency. |
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Computational tool for the energy efficiency assessment of cheese industriesCase study of inner region of PortugalFood processing - Food conservationFood processing and conservation represent decisive factors for the sustainability of the planet given the significant growth of the world population in the last decades. Therefore, the cooling of any food product has been subject of study and improvement in order to ensure the food supply with good quality and safety. A computational tool for the assessment of the energy performance of cheese industries that use refrigeration systems was developed. It aims to promote the improvement of the energy efficiency of this industrial sector. The computational tool for analysis of the energy profile is based on a set of characteristic parameters used for the development of correlations, including the amount of raw material, annual electrical energy consumption and volume of cold stores. In this paper, the developed computational tool was applied to companies in the dairy sector, specifically to cheese industries, subdivided into industrial and handmade cheese. The results obtained help on the decision making of practice measures for the improvement of the energy efficiency.V Congreso Iberoamericano de Ciencias y Técnicas del Frío (CYTEF 2014)uBibliorumNeves, DiogoGaspar, Pedro DinisSilva, Pedro Dinho daAndrade, Luís P.Nunes, José2019-10-23T10:29:31Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/7341enginfo: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:RCAAP2023-12-15T09:46:36Zoai:ubibliorum.ubi.pt:10400.6/7341Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:47:52.914924Repositório 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 |
Computational tool for the energy efficiency assessment of cheese industries Case study of inner region of Portugal |
title |
Computational tool for the energy efficiency assessment of cheese industries |
spellingShingle |
Computational tool for the energy efficiency assessment of cheese industries Neves, Diogo Food processing - Food conservation |
title_short |
Computational tool for the energy efficiency assessment of cheese industries |
title_full |
Computational tool for the energy efficiency assessment of cheese industries |
title_fullStr |
Computational tool for the energy efficiency assessment of cheese industries |
title_full_unstemmed |
Computational tool for the energy efficiency assessment of cheese industries |
title_sort |
Computational tool for the energy efficiency assessment of cheese industries |
author |
Neves, Diogo |
author_facet |
Neves, Diogo Gaspar, Pedro Dinis Silva, Pedro Dinho da Andrade, Luís P. Nunes, José |
author_role |
author |
author2 |
Gaspar, Pedro Dinis Silva, Pedro Dinho da Andrade, Luís P. Nunes, José |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Neves, Diogo Gaspar, Pedro Dinis Silva, Pedro Dinho da Andrade, Luís P. Nunes, José |
dc.subject.por.fl_str_mv |
Food processing - Food conservation |
topic |
Food processing - Food conservation |
description |
Food processing and conservation represent decisive factors for the sustainability of the planet given the significant growth of the world population in the last decades. Therefore, the cooling of any food product has been subject of study and improvement in order to ensure the food supply with good quality and safety. A computational tool for the assessment of the energy performance of cheese industries that use refrigeration systems was developed. It aims to promote the improvement of the energy efficiency of this industrial sector. The computational tool for analysis of the energy profile is based on a set of characteristic parameters used for the development of correlations, including the amount of raw material, annual electrical energy consumption and volume of cold stores. In this paper, the developed computational tool was applied to companies in the dairy sector, specifically to cheese industries, subdivided into industrial and handmade cheese. The results obtained help on the decision making of practice measures for the improvement of the energy efficiency. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2014-01-01T00:00:00Z 2019-10-23T10:29:31Z |
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/10400.6/7341 |
url |
http://hdl.handle.net/10400.6/7341 |
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 |
application/pdf |
dc.publisher.none.fl_str_mv |
V Congreso Iberoamericano de Ciencias y Técnicas del Frío (CYTEF 2014) |
publisher.none.fl_str_mv |
V Congreso Iberoamericano de Ciencias y Técnicas del Frío (CYTEF 2014) |
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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1799136374102687744 |