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Natural ventilation in large spaces: CFD simplified model validated with full-scale experimental data of Roman Baths

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dc.contributor.author Mateus, R. pt_BR
dc.contributor.author Pinto, A. pt_BR
dc.contributor.author Pereira J. M. pt_BR
dc.date.accessioned 2024-12-30T14:41:53Z pt_BR
dc.date.accessioned 2025-04-16T13:33:45Z
dc.date.available 2024-12-30T14:41:53Z pt_BR
dc.date.available 2025-04-16T13:33:45Z
dc.date.issued 2024-12-01 pt_BR
dc.identifier.citation https://doi.org/10.1016/j.buildenv.2024.112077 pt_BR
dc.identifier.uri http://dspace2.lnec.pt:8080/jspui/handle/123456789/1018087 pt_BR
dc.identifier.uri http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018087
dc.description.abstract This 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.iso eng pt_BR
dc.publisher ELSEVIER pt_BR
dc.rights openAccess pt_BR
dc.subject Natural ventilation pt_BR
dc.subject Large spaces pt_BR
dc.subject CFD model pt_BR
dc.subject In-situ pt_BR
dc.subject Air distribution pt_BR
dc.subject Performance pt_BR
dc.title Natural ventilation in large spaces: CFD simplified model validated with full-scale experimental data of Roman Baths pt_BR
dc.type article pt_BR
dc.identifier.localedicao Online pt_BR
dc.description.volume Volume 266 pt_BR
dc.description.sector DED/NAICI pt_BR
dc.description.magazine Building and Environment pt_BR
dc.contributor.peer-reviewed SIM pt_BR
dc.contributor.academicresearchers SIM pt_BR
dc.contributor.arquivo SIM pt_BR


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