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End-to-End Management System Framework for Smart Public Buildings

2021-11Comunicação em conferência Acesso restrito
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datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorJesus, Ivo
dc.contributor.authorPereira, Tomás
dc.contributor.authorMarques, Pedro
dc.contributor.authorSousa, João
dc.contributor.authorPerdigoto, Luís
dc.contributor.authorCoelho, Paulo
dc.date.accessioned2026-04-23T18:23:32Z
dc.date.available2026-04-23T18:23:32Z
dc.date.issued2021-11
dc.descriptionJesus, Ivo - Scopus ID: 57424249700
dc.descriptionDate of Conference: 01-02 November 2021
dc.descriptionEISBN - 978-1-6654-3456-0
dc.description.abstractThis paper presents a project aiming to design a complete framework to measure energy (electricity and gas) and water consumptions in a local Parish Council building and an adjacent Sports Hall located in the central part of Portugal. The goal is an end-to-end solution, from data acquisition to data analysis. Besides acquiring and storing the data, the aim is to make this information available and valuable to enhance better decisions in building management actions, to enable detection of situations of anomalous consumption and also to promote building users' awareness. To pursue this goal, PLCnext technology solutions from Phoenix Contact are adopted. The system is based on a new generation industrial controller that communicates with energy and water meters distributed throughout the building using a standard Information Technology (IT) network. The solution explores Industry 4.0 concept, such as Cloud Data Management, Cybersecurity, and Machine Learning. With historic consumption records available, Machine Learning strategies are being used to predict load profiles in a short-term horizon and also planned to classify untypical consumption behaviors (for monitor and alarm purposes). This project is being deployed in partnership between Polytechnic of Leiria, EduNet International Education Network and involving the local Parish Council, owner of the monitored buildings.eng
dc.description.sponsorshipThis research was partially supported by the European Regional Development Fund in the framework of FCT - Portuguese Foundation for Science and Technology under project grant UIDB/00308/2020. The authors will like the thank Phoenix Contact (Portugal) and the local Council “União de freguesias de Leiria, Pousos Barreira e Cortes” for the support on the development of this project.
dc.identifier.citationI. Jesus, T. Pereira, P. Marques, J. Sousa, L. Perdigoto and P. Coelho, "End-to-End Management System Framework for Smart Public Buildings," 2021 IEEE Green Energy and Smart Systems Conference (IGESSC), Long Beach, CA, USA, 2021, pp. 1-6, doi: https://doi.org/10.1109/IGESSC53124.2021.9618689.
dc.identifier.doi10.1109/igessc53124.2021.9618689
dc.identifier.eissn2640-0138
dc.identifier.isbn978-1-6654-3457-7
dc.identifier.isbn978-1-6654-3456-0
dc.identifier.issn2639-2356
dc.identifier.urihttp://hdl.handle.net/10400.8/16187
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9618689
dc.relation.ispartof2021 IEEE Green Energy and Smart Systems Conference (IGESSC)
dc.rights.uriN/A
dc.subjectSustainability
dc.subjectEnergy Efficiency in Buildings
dc.subjectEnergy Measurements
dc.subjectData Analysis
dc.subjectMachine Learning
dc.subjectPLCnext
dc.subjectBuilding Management Systems
dc.titleEnd-to-End Management System Framework for Smart Public Buildingseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/00308/2020
oaire.awardTitleInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00308%2F2020/PT
oaire.citation.conferenceDate2021-11
oaire.citation.conferencePlaceLong Beach, Caifornia, USA
oaire.citation.title2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFranco Marques
person.familyNameSousa
person.familyNamePerdigoto
person.familyNameCoelho
person.givenNamePedro José
person.givenNameJoão
person.givenNameLuis
person.givenNamePaulo
person.identifier2068530
person.identifier.ciencia-idC816-809B-4484
person.identifier.ciencia-id3818-FA4F-CC36
person.identifier.gsid55971568600
person.identifier.orcid0000-0003-1519-7099
person.identifier.orcid0000-0002-7567-4910
person.identifier.orcid0000-0002-2626-3154
person.identifier.orcid0000-0002-4383-0472
person.identifier.ridV-1924-2018
person.identifier.scopus-author-id57128835100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication4b706fd9-4e55-4515-bc33-e40358456bfd
relation.isAuthorOfPublication7678f744-5e50-4458-8811-33e1fbc63013
relation.isAuthorOfPublication21974cb3-96e9-4071-bbd1-149f86160821
relation.isAuthorOfPublication0a2d9abe-a60d-4c77-a1b7-ad0755f025bc
relation.isAuthorOfPublication.latestForDiscovery4b706fd9-4e55-4515-bc33-e40358456bfd
relation.isProjectOfPublication254d9223-2e3b-4754-bae9-c98986d80921
relation.isProjectOfPublication.latestForDiscovery254d9223-2e3b-4754-bae9-c98986d80921

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This paper presents a project aiming to design a complete framework to measure energy (electricity and gas) and water consumptions in a local Parish Council building and an adjacent Sports Hall located in the central part of Portugal. The goal is an end-to-end solution, from data acquisition to data analysis. Besides acquiring and storing the data, the aim is to make this information available and valuable to enhance better decisions in building management actions, to enable detection of situations of anomalous consumption and also to promote building users' awareness. To pursue this goal, PLCnext technology solutions from Phoenix Contact are adopted. The system is based on a new generation industrial controller that communicates with energy and water meters distributed throughout the building using a standard Information Technology (IT) network. The solution explores Industry 4.0 concept, such as Cloud Data Management, Cybersecurity, and Machine Learning. With historic consumption records available, Machine Learning strategies are being used to predict load profiles in a short-term horizon and also planned to classify untypical consumption behaviors (for monitor and alarm purposes). This project is being deployed in partnership between Polytechnic of Leiria, EduNet International Education Network and involving the local Parish Council, owner of the monitored buildings.
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