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Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort

dc.contributor.authorKhorram, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorVale, Zita
dc.date.accessioned2021-01-28T16:03:52Z
dc.date.available2021-01-28T16:03:52Z
dc.date.issued2020
dc.descriptionThis article belongs to the Special Issue Architectures and Platforms for Smart and Sustainable Citiespt_PT
dc.description.abstractThis paper presents a multiperiod optimization algorithm that is implemented in a Supervisory Control and Data Acquisition system. The algorithm controls lights and air conditioners as flexible loads to reduce the consumption and controls a dishwasher as a deferrable load to implement the load shifting. Several parameters are considered to implement the algorithm for several successive periods in a real building operation. In the proposed methodology, optimization is done regarding user comfort, which is modeled in the objective function related to the indoor temperature in each room, and in the constraints in order to prevent excessive power reduction, according to users' preferences. Additionally, the operation cycle of a dishwasher is included, and the algorithm selects the best starting point based on the appliance weights and power availability in each period. With the proposed methodology, the building energy manager can specify the moments when the optimization is run with consideration of the operational constraints. Accordingly, the main contribution of the paper is to provide and integrate a methodology to minimize the difference between the actual and the desired temperature in each room, as a measure of comfort, respecting constraints that can be easily bounded by building users and manager. The case study considers the real consumption data of an office building which contains 20 lights, 10 ACs, and one dishwasher. Three scenarios have been designed to focus on different functionalities. The outcomes of the paper include proof of the performance of the optimization algorithm and how such a system can effectively minimize electricity consumption by implementing demand response programs and using them in smart grid contexts.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: COLORSPTDC/EEI-EEE/28967/2017 and UIDB/00760/2020 funded by FEDER Funds through COMPETE programpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/s20030593pt_PT
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.22/16784
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/20/3/593pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectBuilding energy managementpt_PT
dc.subjectDemand responsept_PT
dc.subjectLoad shiftingpt_PT
dc.subjectSCADApt_PT
dc.subjectUser comfortpt_PT
dc.titleConsumption Optimization in an Office Building Considering Flexible Loads and User Comfortpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.citation.issue3pt_PT
oaire.citation.startPage593pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume20pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFaria
person.familyNameVale
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
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