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The application of UAVs in the evaluation of thermal comfort levels in buildings equipped with internal greenhouses

2023-09-20Journal article Open access
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dc.contributor.authorConceição, Maria Inês
dc.contributor.authorConceição, Eusébio
dc.contributor.authorGrilo, António
dc.contributor.authorBasiri, Meysam
dc.contributor.authorAwbi, Hazim
dc.date.accessioned2023-10-13T10:11:45Z
dc.date.available2023-10-13T10:11:45Z
dc.date.issued2023-09-20
dc.date.updated2023-09-27T12:37:20Z
dc.description.abstractA greenhouse is used to improve thermal comfort (TC) levels for its occupants in winter conditions using solar radiation, which involves low energy consumption. The aim of this research is the application of unmanned aerial vehicles (UAVs) in the evaluation of thermal comfort levels in buildings equipped with internal greenhouses. The new building design is developed numerically, and a building thermal simulator (BTS) numerical model calculates the indoor environmental variables. A new alternative and expeditious method to measure occupants’ comfort levels using UAV technology is applied using a UAV dynamic simulator (UAV DS). The evolution of the measured variables used for evaluating the predicted mean vote (PMV) is compared using the two numerical methodologies: BTS and UAV DS. In the second one, the mean radiant temperature (MRT) measuring methodology, the floor temperature, the lateral walls’ temperatures, the ceiling temperatures, and the air temperature are applied. In the method presented in this paper, a new building design is developed numerically, which includes a central greenhouse equipped with a semispherical dome, four auditoriums distributed around the central greenhouse, occupant distribution, and a ventilation methodology. The building geometry, the solar radiation on transparent surfaces, the TC, and the UAV mission methods are presented. The results show that, in general, the central greenhouse and the ventilation methodologies provide acceptable TC levels. The UAV monitoring mission, which includes two vehicles, provides good environmental variable replication, particularly when the environmental variables present greater variations. In the auditorium and greenhouse, the ceiling and lateral surface temperatures, respectively, can be used as an MRT approximation. The BTS numerical model is also important for developing buildings using renewable energy sources to improve the TC levels.pt_PT
dc.description.sponsorshipCRESC Algarve 2020; Project 2022–2023 ASHRAE;pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationClean Technologies 5 (3): 1080-1114 (2023)pt_PT
dc.identifier.doi10.3390/cleantechnol5030055pt_PT
dc.identifier.eissn2571-8797
dc.identifier.urihttp://hdl.handle.net/10400.1/20052
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationSmart Windows: energy production in buildings using renewable sources
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBuilding thermal simulator (BTS)pt_PT
dc.subjectUAV dynamic simulator (UAV DS)pt_PT
dc.subjectThermal comfort (TC)pt_PT
dc.subjectGreenhousept_PT
dc.titleThe application of UAVs in the evaluation of thermal comfort levels in buildings equipped with internal greenhousespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSmart Windows: energy production in buildings using renewable sources
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/SAICT-ALG%2F39586%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.citation.endPage1114pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage1080pt_PT
oaire.citation.titleClean Technologiespt_PT
oaire.citation.volume5pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
person.familyNameConceição
person.givenNameEusébio
person.identifier.ciencia-id6317-FB21-9671
person.identifier.orcid0000-0001-5963-2107
person.identifier.ridI-7931-2015
person.identifier.scopus-author-id6603299150
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
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