Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018087
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMateus, R.pt_BR
dc.contributor.authorPinto, A.pt_BR
dc.contributor.authorPereira J. M.pt_BR
dc.date.accessioned2024-12-30T14:41:53Zpt_BR
dc.date.accessioned2025-04-16T13:33:45Z-
dc.date.available2024-12-30T14:41:53Zpt_BR
dc.date.available2025-04-16T13:33:45Z-
dc.date.issued2024-12-01pt_BR
dc.identifier.citationhttps://doi.org/10.1016/j.buildenv.2024.112077pt_BR
dc.identifier.urihttp://dspace2.lnec.pt:8080/jspui/handle/123456789/1018087pt_BR
dc.identifier.urihttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1018087-
dc.description.abstractThis study addresses the escalating need for energy-efficient and well-ventilated buildings by examining natural ventilation in large spaces. Validation of a CFD model was pursued through in-site experiments at the Roman Baths Museum in Chaves, Portugal. A sensitivity analysis aimed to determine the optimal number of monitoring points for model validation, crucial for establishing procedures in large-volume settings. Findings emphasized the feasibility of using a minimal number of monitored points, notably with a 3 × 3 test point arrangement, showcasing consistent temperature variations with low relative errors (0.50 %–1.75 %). Furthermore, the validated model assessed ventilation performance under diverse operational conditions, revealing slight enhancements in experimental settings, including an increase in air change rate (2.4 vs. 2.2 ACH) and a decrease in buoyancy dominance (Richardson number 197.3 vs. 241.3) compared to design conditions. Quantitative analysis highlighted similar temperature and velocity trends, with greater stratification in experimental conditions (temperature ratios 0.12 to 0.36 vs. 0.10 to 0.32). Qualitative assessments align with the quantitative analysis and enable the identification of stagnation zones and airflow distribution patterns. These findings affirm the methods’ reliability in analysing ventilation in large spaces naturally ventilated, validating the model across diverse contexts, despite fewer data points.pt_BR
dc.language.isoengpt_BR
dc.publisherELSEVIERpt_BR
dc.rightsopenAccesspt_BR
dc.subjectNatural ventilationpt_BR
dc.subjectLarge spacespt_BR
dc.subjectCFD modelpt_BR
dc.subjectIn-situpt_BR
dc.subjectAir distributionpt_BR
dc.subjectPerformancept_BR
dc.titleNatural ventilation in large spaces: CFD simplified model validated with full-scale experimental data of Roman Bathspt_BR
dc.typearticlept_BR
dc.identifier.localedicaoOnlinept_BR
dc.description.volumeVolume 266pt_BR
dc.description.sectorDED/NAICIpt_BR
dc.description.magazineBuilding and Environmentpt_BR
dc.contributor.peer-reviewedSIMpt_BR
dc.contributor.academicresearchersSIMpt_BR
dc.contributor.arquivoSIMpt_BR
Appears in Collections:DED/NAICI - Comunicações a congressos e artigos de revista

Files in This Item:
File Description SizeFormat 
NAICI_Natural_ventila_larg_spac_2024.pdfDocumento (ingl?s) cedido por um dos autores. Direitos reservados aos autores e editora.22.01 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.