Banca de QUALIFICAÇÃO: LUCÍDIO GOMES AVELINO FILHO

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : LUCÍDIO GOMES AVELINO FILHO
DATE: 05/10/2026
TIME: 10:00
LOCAL: videoconferência
TITLE:

Building Envelopes Facing the Climate Emergency: A Building Performance Data Science Approach to Multidimensional Assessment

KEY WORDS:

building envelope; multidimensional building performance; climate emergency; Building Performance Data Science; metamodeling

PAGES: 290
BIG AREA: Ciências Sociais Aplicadas
AREA: Arquitetura e Urbanismo
SUMMARY:

The climate emergency is increasing the need to assess building performance under increasingly severe environmental conditions. Within this context, building envelopes play a central role because their architectural, thermophysical, and optical characteristics simultaneously influence energy demand, operational carbon, thermal comfort, and daylight availability. This thesis investigates the multidimensional performance of office-building envelope configurations under future climate conditions from a Building Performance Data Science perspective. A simplified office-building model was used to examine a discrete design space defined by eleven variables related to construction systems, façade geometry, window operation, shading, orientation, and surface properties. Representative configurations were selected using a Sobol sequence and evaluated through EnergyPlus- and Radiance-based simulation workflows. A total of 1,000 verified Brasília configurations were analyzed through ten principal Energy, Thermal, and Daylight indicators. The resulting database was examined using descriptive statistics, Pearson and Spearman correlations, spatial analysis, trade-off and Pareto assessment, predictive metamodeling, learning curves, and preliminary Morris global sensitivity analysis. The results show that envelope configurations produce distinct responses across the assessed performance domains, with variations in the influence of design variables and both compatible and conflicting relationships among the different indicators. Glazing properties, window-to-wall ratio, window operation, and shading geometry repeatedly emerged among the most influential variables, although their relative importance varied across responses. Spatial analyses further showed that building-level aggregated indicators may conceal relevant differences among façades and floors. Predictive modeling exhibited different levels of convergence across the assessed indicators, while sensitivity analysis reinforced the need to jointly interpret influence magnitude, spatial behavior, and cross-domain relationships. These findings support a multidimensional approach that integrates simulation, data analysis, predictive modeling, sensitivity assessment, trade-offs, and physical interpretation while preserving traceability to the evaluated configurations and providing a basis for the subsequent development of decision-support procedures.

COMMITTEE MEMBERS:
Externo à Instituição - FABIO BISEGNA - UNIROMA-IT
Externa à Instituição - JUSTYNA MARTYNIUK-PECZEK - GDANSKTECH
Presidente - 2658711 - CAIO FREDERICO E SILVA
Interna - 1662239 - CLAUDIA NAVES DAVID AMORIM
Interna - 1438937 - JOARA CRONEMBERGER RIBEIRO SILVA