Repository logo
 
Publication

Air conditioner consumption optimization in an office building considering user comfort

2020-03Journal article Open access
Simple item page
dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorVale, Zita
dc.date.accessioned2021-01-29T15:13:32Z
dc.date.available2021-01-29T15:13:32Z
dc.date.issued2020-03
dc.description.abstractThe rapid growth of energy consumption and its consequences in the last decades, made the world persuaded to energy optimization and energy management. Therefore, producers and prosumers should be equipped with the automation infrastructures to perform the management programs, such as demand response programs. Office buildings are considering as a proper case for implementing energy consumption minimization since they are responsible for a huge portion of total energy consumption in the world. This paper proposes a multi-period optimization algorithm implemented in Supervisory Control and Data Acquisition system of an office building. The developed optimization algorithm is an efficient solution considered for minimizing the power consumption of air conditioners by considering the user comfort constraints. Two determinative parameters are defined to prevent over-power reduction from certain devices. In order to respect to user preferences, priority numbers are dedicated to each air conditioner to present the importance of each device. A case study with several scenarios is implemented to verify the performance of the proposed algorithm in real life using real data of the building. The obtained results show the impacts of proposed parameters and different comfort constraints of algorithm while the main target of the optimization has been reached.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: MAS-Society Project PTDC/EEI-EEE/28954/2017 and UID/EEA/00760/2019 funded by FEDER, Spain Funds through COMPETE program and byNational Funds through FCT, Portugal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.egyr.2019.08.029pt_PT
dc.identifier.issn2352-4847
dc.identifier.urihttp://hdl.handle.net/10400.22/16799
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationMulti-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in complex energY systems
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2352484719306201?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMulti-period optimizationpt_PT
dc.subjectAir conditionerpt_PT
dc.subjectUser comfortpt_PT
dc.subjectSCADA systempt_PT
dc.subjectOffice buildingpt_PT
dc.titleAir conditioner consumption optimization in an office building considering user comfortpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMulti-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in complex energY systems
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28954%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.endPage126pt_PT
oaire.citation.startPage120pt_PT
oaire.citation.titleEnergy Reportspt_PT
oaire.citation.volume6pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
person.familyNameKhorram Ghahfarrokhi
person.familyNameFaria
person.familyNameAbrishambaf
person.familyNameVale
person.givenNameMahsa
person.givenNamePedro
person.givenNameOmid
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id9719-75D7-B785
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-0581-2898
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57201796142
person.identifier.scopus-author-id57189232486
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication37496d99-b654-4316-9051-c9e39ee07c75
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublication72f5a93f-febb-46bf-a69d-50881f80cb41
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isProjectOfPublicationa620525e-5a41-410f-bd99-c7e9546e9037
relation.isProjectOfPublication9b771c00-8c2c-4226-b06d-e33ef11f0d32
relation.isProjectOfPublication.latestForDiscovery9b771c00-8c2c-4226-b06d-e33ef11f0d32

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ART_GECAD_2020.pdf
Size:
1.11 MB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Artigos