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

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Resumo: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.
Autores principais:Neves-Silva, Rui
Outros Autores:Camarinha-Matos, Luís M.
Assunto: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
Ano:2022
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
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author Neves-Silva, Rui
author2 Camarinha-Matos, Luís M.
author2_role author
author_facet Neves-Silva, Rui
Camarinha-Matos, Luís M.
author_role author
contributor_name_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
Molecular Diversity Preservation International (MDPI)
RUN
country_str PT
creators_json_txt [{\"Person.name\":\"Neves-Silva, Rui\"},{\"Person.name\":\"Camarinha-Matos, Luís M.\"}]
datacite.contributors.contributor.contributorName.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
Molecular Diversity Preservation International (MDPI)
RUN
datacite.creators.creator.creatorName.fl_str_mv Neves-Silva, Rui
Camarinha-Matos, Luís M.
datacite.date.Accepted.fl_str_mv 2022-03-25T00:00:00Z
datacite.date.available.fl_str_mv 2022-08-03T22:25:49Z
datacite.date.embargoed.fl_str_mv 2022-08-03T22:25:49Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.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
datacite.titles.title.fl_str_mv Context-Based Decision Support System for Energy Efficiency in Industrial Plants
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
Molecular Diversity Preservation International (MDPI)
RUN
dc.creator.none.fl_str_mv Neves-Silva, Rui
Camarinha-Matos, Luís M.
dc.date.Accepted.fl_str_mv 2022-03-25T00:00:00Z
dc.date.available.fl_str_mv 2022-08-03T22:25:49Z
dc.date.embargoed.fl_str_mv 2022-08-03T22:25:49Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10362/142837
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.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
dc.title.fl_str_mv Context-Based Decision Support System for Energy Efficiency in Industrial Plants
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description 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.
dirty 0
eu_rights_str_mv openAccess
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language eng
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organization_str_mv urn:organizationAcronym:unl
person_str_mv Neves-Silva, Rui
Camarinha-Matos, Luís M.
publishDate 2022
repo_facet_str urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL
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spelling engenIndustrial 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.application/pdfenContext-Based Decision Support System for Energy Efficiency in Industrial PlantsNeves-Silva, RuiCamarinha-Matos, Luís M.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasMolecular Diversity Preservation International (MDPI)HostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf2071-1050URNIsPartOfPURE: 43275843URNIsPartOfPURE UUID: 5c6eaeb3-67ec-42b7-b68a-395c5223ab51URNIsPartOfScopus: 85127578308URNIsPartOfWOS: 000780761100001URNIsPartOfORCID: /0000-0003-1338-0287/work/116781916DOIIsPartOf10.3390/su140738852022-08-03T22:25:49Z2022-03-252022-03-25T00:00:00ZHandlehttp://hdl.handle.net/10362/142837http://purl.org/coar/access_right/c_abf2open accesscontext 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 Energy6283398 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/67506bfd-4254-4f3b-bb7f-4c034a334331/download
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
status SINGLETON
subject.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
title 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_short Context-Based Decision Support System for Energy Efficiency in Industrial Plants
title_sort Context-Based Decision Support System for Energy Efficiency in Industrial Plants
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
topic_facet 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
url http://hdl.handle.net/10362/142837
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