Application of factorial experiment as a method for the definition of bioclimatic zones from thermal comfort

• Autor(a) principal: Ferreira, Camila Carvalho
• Data de Publicação: 2023
• Outros Autores: Carlo, Joyce Correna
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: PARC (Campinas)
• Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/parc/article/view/8669076
• topic: Bioclimatic zoning; Thermal perfomance; Adaptive comfort; Residential buildings; Zoneamento bioclimático brasileiro; Desempenho térmico; Conforto adaptativo; Edifícios residenciais

Bioclimatic zoning is an important tool to provide subsidies for structuring thermal performance regulations and energy efficiency codes of buildings. However, a consistent methodology for developing zoning proposals still needs to be discussed. This article aims to evaluate the applicability of the factorial design as a method for the characterization of bioclimatic zones. For this, the factorial experiment was used to analyze the variables of influence on the thermal performance of residential buildings naturally ventilated in different Brazilian climates. Thermal performance simulations were performed from the factorial, and the cities analyzed were grouped according to the performance regarding thermal comfort and influence variables. In general, the main variables of influence the thermal comfort of the buildings are the solar absorbance of the wrap, the thermal transmittance of the roofs and the ventilation. For milder climates, the thermal transmittance of the walls also had an influence, while the thermal capacity of the walls influenced the transition climates. Among the sampled localities, it is possible to recognize four patterns of behavior regarding thermal comfort and the variables of influence, enabling the grouping of cities. Four bioclimatic zones were identified and subdivided according to local ventilation needs. The originality of this work is in the proposal of characterization of bioclimatic zones based on an adaptive comfort model. More than one model of multifamily buildings was considered in a factorial analysis.