Context-Based Decision Support System for Energy Efficiency in Industrial Plants
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/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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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 |
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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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1799138102007037952 |