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Development of a double Skin Facade system applied in a virtual occupied chamber

dc.contributor.authorConceição, Eusébio
dc.contributor.authorGomes, João
dc.contributor.authorLúcio, Maria Manuela Jacinto Do Rosário
dc.contributor.authorAwbi, Hazim
dc.date.accessioned2021-04-19T09:56:07Z
dc.date.available2021-04-19T09:56:07Z
dc.date.issued2021-03-04
dc.date.updated2021-03-26T14:06:27Z
dc.description.abstractIn this study a system constituted by seven double skin facades (DSF), three equipped with venetian blinds and four not equipped with venetian blinds, applied in a virtual chamber, is developed. The project will be carried out in winter conditions, using a numerical model, in transient conditions, and based on energy and mass balance linear integral equations. The energy balance linear integral equations are used to calculate the air temperature inside the DSF and the virtual chamber, the temperature on the venetian blind, the temperature on the inner and outer glass, and the temperature distribution in the surrounding structure of the DSF and virtual chamber. These equations consider the convection, conduction, and radiation phenomena. The heat transfer by convection is calculated by natural, forced, and mixed convection, with dimensionless coefficients. In the radiative exchanges, the incident solar radiation, the absorbed solar radiation, and the transmitted solar radiation are considered. The mass balance linear integral equations are used to calculate the water mass concentration and the contaminants mass concentration. These equations consider the convection and the diffusion phenomena. In this numerical work seven cases studies and three occupation levels are simulated. In each case the influence of the ventilation airflow and the occupation level is analyzed. The total number of thermal and indoor air quality uncomfortable hours are used to evaluate the DSF performance. In accordance with the obtained results, in general, the indoor air quality is acceptable; however, when the number of occupants in the virtual chamber increases, the Predicted Mean Vote index value increases. When the airflow rate increases the total of Uncomfortable Hours decreases and, after a certain value of the airflow rate, it increases. The airflow rate associated with the minimum value of total Uncomfortable Hours increases when the number of occupants increases. The energy production decreases when the airflow increases and the production of energy is higher in DSF with venetian blinds system than in DSF without venetian blinds system.pt_PT
dc.description.sponsorshipSAICT-ALG/39586/2018, CRESC Algarve 2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationInventions 6 (1): 17 (2021)pt_PT
dc.identifier.doi10.3390/inventions6010017pt_PT
dc.identifier.eissn2411-5134
dc.identifier.urihttp://hdl.handle.net/10400.1/15408
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2411-5134/6/1/17pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDouble skin facadept_PT
dc.subjectVirtual chamberpt_PT
dc.subjectNumerical simulationpt_PT
dc.subjectThermal comfortpt_PT
dc.subjectIndoor air qualitypt_PT
dc.titleDevelopment of a double Skin Facade system applied in a virtual occupied chamberpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.startPage17pt_PT
oaire.citation.titleInventionspt_PT
oaire.citation.volume6pt_PT
person.familyNameConceição
person.familyNameLúcio
person.givenNameEusébio
person.givenNameMaria Manuela Jacinto do Rosário
person.identifier.ciencia-id6317-FB21-9671
person.identifier.orcid0000-0001-5963-2107
person.identifier.orcid0000-0003-3243-3831
person.identifier.ridI-7931-2015
person.identifier.scopus-author-id6603299150
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationbd0b4c3b-bd28-4e29-ab0b-1ac167828d7f
relation.isAuthorOfPublication63ee3496-27c0-4310-8d2b-93f954cc7a66
relation.isAuthorOfPublication.latestForDiscovery63ee3496-27c0-4310-8d2b-93f954cc7a66

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