Decision-making computationally aided in the management of energy sources used in agrifood industries
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/10400.6/7289 |
Resumo: | In an increasingly competitive society with an unfavourable economic environment, it is necessary for Small and Medium Enterprises (SMEs) to update themselves, thereby increasing their efficiency. Companies increasingly use computational tools to support the development of predictive scenarios in order to facilitate decision-making. However, the tools developed for SMEs are not always expedite and simple to use. The tool presented in this article intends to support the management of energy sources used by agro-industrial companies. It aims to facilitate and promote the implementation of a new culture of business management, in this sector so important at national level. The computational part is directed to support the decision-making on the selection of fossil or renewable energy sources to be used in a particular agroindustry, by presenting the average values of the energy consumption, cost and emissions associated with each selected energy source. |
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Decision-making computationally aided in the management of energy sources used in agrifood industriesEnergy consumptionEnergy managementComputational toolDecision makingIn an increasingly competitive society with an unfavourable economic environment, it is necessary for Small and Medium Enterprises (SMEs) to update themselves, thereby increasing their efficiency. Companies increasingly use computational tools to support the development of predictive scenarios in order to facilitate decision-making. However, the tools developed for SMEs are not always expedite and simple to use. The tool presented in this article intends to support the management of energy sources used by agro-industrial companies. It aims to facilitate and promote the implementation of a new culture of business management, in this sector so important at national level. The computational part is directed to support the decision-making on the selection of fossil or renewable energy sources to be used in a particular agroindustry, by presenting the average values of the energy consumption, cost and emissions associated with each selected energy source.ElsevieruBibliorumZocca, Renan OliveiraGaspar, Pedro DinisSilva, Pedro Dinho daSantos, Fernando CharruaAndrade, Luís P.Nunes, José2019-10-18T14:01:25Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/7289eng1876-610210.1016/j.egypro.2019.02.063metadata only accessinfo: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:RCAAP2024-03-06T02:30:27Zoai:ubibliorum.ubi.pt:10400.6/7289Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:47:50.327222Repositório 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 |
Decision-making computationally aided in the management of energy sources used in agrifood industries |
title |
Decision-making computationally aided in the management of energy sources used in agrifood industries |
spellingShingle |
Decision-making computationally aided in the management of energy sources used in agrifood industries Zocca, Renan Oliveira Energy consumption Energy management Computational tool Decision making |
title_short |
Decision-making computationally aided in the management of energy sources used in agrifood industries |
title_full |
Decision-making computationally aided in the management of energy sources used in agrifood industries |
title_fullStr |
Decision-making computationally aided in the management of energy sources used in agrifood industries |
title_full_unstemmed |
Decision-making computationally aided in the management of energy sources used in agrifood industries |
title_sort |
Decision-making computationally aided in the management of energy sources used in agrifood industries |
author |
Zocca, Renan Oliveira |
author_facet |
Zocca, Renan Oliveira Gaspar, Pedro Dinis Silva, Pedro Dinho da Santos, Fernando Charrua Andrade, Luís P. Nunes, José |
author_role |
author |
author2 |
Gaspar, Pedro Dinis Silva, Pedro Dinho da Santos, Fernando Charrua Andrade, Luís P. Nunes, José |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Zocca, Renan Oliveira Gaspar, Pedro Dinis Silva, Pedro Dinho da Santos, Fernando Charrua Andrade, Luís P. Nunes, José |
dc.subject.por.fl_str_mv |
Energy consumption Energy management Computational tool Decision making |
topic |
Energy consumption Energy management Computational tool Decision making |
description |
In an increasingly competitive society with an unfavourable economic environment, it is necessary for Small and Medium Enterprises (SMEs) to update themselves, thereby increasing their efficiency. Companies increasingly use computational tools to support the development of predictive scenarios in order to facilitate decision-making. However, the tools developed for SMEs are not always expedite and simple to use. The tool presented in this article intends to support the management of energy sources used by agro-industrial companies. It aims to facilitate and promote the implementation of a new culture of business management, in this sector so important at national level. The computational part is directed to support the decision-making on the selection of fossil or renewable energy sources to be used in a particular agroindustry, by presenting the average values of the energy consumption, cost and emissions associated with each selected energy source. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-18T14:01:25Z 2019 2019-01-01T00:00:00Z |
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/10400.6/7289 |
url |
http://hdl.handle.net/10400.6/7289 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1876-6102 10.1016/j.egypro.2019.02.063 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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