Ferramenta de análise de propriedades térmicas de envoltórias em apoio ao projeto arquitetônico

• Autor(a) principal: Cabral, Sthefane Adrielly Barbosa
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFPB
• Texto Completo: https://repositorio.ufpb.br/jspui/handle/123456789/20265
• topic: NBR 15.220; Desempenho térmico; Envoltória; Ferramenta de apoio à decisão projetual; Modelagem numérica; Decision Support Tool; Thermal Performance; Envelope; Numerical Modeling; CNPQ::CIENCIAS SOCIAIS APLICADAS::ARQUITETURA E URBANISMO

It is known that the envelope of a building is responsible for the direct contact with the weather that the climate produces, significantly altering the thermal sensations in the internal environment. Therefore, when initiating a new architecture project, one must take into account the thermal properties of the building materials and how they absorb and transmit the heat, in order to be able to predict the thermal behavior of this envelope. The use of computational modeling tools helps design decisions regarding the integration of design strategies with the parameters of thermal performance of the building. Currently, for Brazil, these parameters are found in two regulations (NBR 15.575 / 2013 and NBR 15.220 / 2005). Therefore, the present research proposes to develop a tool, based on numerical modeling that allows to evaluate the thermal performance and thermal properties in systems of opaque vertical fences considering the indicators of NBR 15220 with case study for recommendations of the Bioclimatic Zone 8. With objective of integrating projective strategies to parameters of thermal Brazilian normative performance. For this, it was necessary to understand the properties of analysis and influence factors to generate the proposition of the numerical model, to apply it to the Pilot Study, carried out with students of architecture and architects, which generated propositions for the refinement of the model, with the intention to apply it again to another group of evaluators, and finally it is expected as a result to generate the confirmation of the numerical model.