Context-Based Decision Support System for Energy Efficiency in Industrial Plants

Detalhes bibliográficos
Autor(a) principal: Neves-Silva, Rui
Data de Publicação: 2022
Outros Autores: Camarinha-Matos, Luís M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/142837
Resumo: This research was developed under project LifeSaver (Context sensitive monitoring of energy consumption to support energy savings and emissions trading in industry) funded by European Union’s Seventh Framework Programme (Grant agreement ID: 287652). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling Context-Based Decision Support System for Energy Efficiency in Industrial Plantscontext awarenessdecision support systemsenergy efficiencymanufacturing industryGeography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyManagement, Monitoring, Policy and LawSDG 7 - Affordable and Clean EnergyThis research was developed under project LifeSaver (Context sensitive monitoring of energy consumption to support energy savings and emissions trading in industry) funded by European Union’s Seventh Framework Programme (Grant agreement ID: 287652). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.Industrial companies must actively pursue more energy efficiency in their processes, with impacts on both costs and the environment, and ultimately business performance. This article explores the influence of context around the manufacturing process on energy consumption. By creating awareness of this influence in a quantified way, it is possible, via a structured decision process, to find opportunities and derive solutions to improve energy performance. This work introduces a method developed in the scope of the LifeSaver project, which is based on the visualization of energy consumption data against benchmark/average values. The overall approach is supported by a software platform which offers a set of functionalities covering the complete approach, from the detection of the consumption pattern to the implementation of improvement solutions. The approach was tested in two industrial business cases. The first one illustrates the approach by showing the influence of the human factor on the energy performance in cement production. The second case deals with finding opportunities on the selection of the operation point, and its impact on peak load management. The proposed approach and developed system demonstrate a positive direct impact on reducing energy consumption and consequent carbon dioxide emissions. Furthermore, the operation of the implemented case studies has an important indirect effect on bringing awareness to the impact of small actions on general energy efficiency.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasRUNNeves-Silva, RuiCamarinha-Matos, Luís M.2022-08-03T22:25:49Z2022-03-252022-03-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15application/pdfhttp://hdl.handle.net/10362/142837eng2071-1050PURE: 43275843https://doi.org/10.3390/su14073885info: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:RCAAP2024-03-11T05:20:47Zoai:run.unl.pt:10362/142837Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:33.134068Repositório 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 Context-Based Decision Support System for Energy Efficiency in Industrial Plants
title Context-Based Decision Support System for Energy Efficiency in Industrial Plants
spellingShingle Context-Based Decision Support System for Energy Efficiency in Industrial Plants
Neves-Silva, Rui
context awareness
decision support systems
energy efficiency
manufacturing industry
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Environmental Science (miscellaneous)
Energy Engineering and Power Technology
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
title_short Context-Based Decision Support System for Energy Efficiency in Industrial Plants
title_full Context-Based Decision Support System for Energy Efficiency in Industrial Plants
title_fullStr Context-Based Decision Support System for Energy Efficiency in Industrial Plants
title_full_unstemmed Context-Based Decision Support System for Energy Efficiency in Industrial Plants
title_sort Context-Based Decision Support System for Energy Efficiency in Industrial Plants
author Neves-Silva, Rui
author_facet Neves-Silva, Rui
Camarinha-Matos, Luís M.
author_role author
author2 Camarinha-Matos, Luís M.
author2_role author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
RUN
dc.contributor.author.fl_str_mv Neves-Silva, Rui
Camarinha-Matos, Luís M.
dc.subject.por.fl_str_mv context awareness
decision support systems
energy efficiency
manufacturing industry
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Environmental Science (miscellaneous)
Energy Engineering and Power Technology
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
topic context awareness
decision support systems
energy efficiency
manufacturing industry
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Environmental Science (miscellaneous)
Energy Engineering and Power Technology
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
description This research was developed under project LifeSaver (Context sensitive monitoring of energy consumption to support energy savings and emissions trading in industry) funded by European Union’s Seventh Framework Programme (Grant agreement ID: 287652). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-03T22:25:49Z
2022-03-25
2022-03-25T00:00:00Z
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/10362/142837
url http://hdl.handle.net/10362/142837
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
PURE: 43275843
https://doi.org/10.3390/su14073885
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 15
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
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