Algoritmos evolutivos na definição de janelas termicamente eficientes

• Ano de defesa: 2020
• Autor(a) principal: Bussolotti, Victor Moura
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Arquitetura e Urbanismo; Centro de Artes; UFES; Programa de Pós- Graduação em Arquitetura e Urbanismo
• Palavras-chave em Português: Janela; Conforto térmico; Algoritmos; Sistemas generativos; Window; Thermal comfort.; Algorithms; Generative systems; subject.br-rjbn; Arquitetura e Urbanismo
• Link de acesso: http://repositorio.ufes.br/handle/10/13981

Climate change has been investigated by the scientific community in recent decades and energy consumption for air conditioning and lighting is one of the factors responsible for the damage caused to the planet. Solutions that seek ways to minimize the environmental impacts caused by human action are relevant and necessary. Proposing buildings capable of minimizing this consumption, through efficient strategies to reduce the energy demand in the search for thermal comfort are necessary actions. Windows, as one of the building components responsible for energy consumption, by regulating the entry of light and wind, are an important element for achieving energy efficiency. However, window models have neglected important components for maintaining comfort and, consequently, lower energy consumption. Generative systems appear as allies, proposing a relation of the designer directly to the system, using computer resources to assist them and automating parts of the design process. The main objective was analyze design processes using evolutionary algorithms to define thermally efficient windows. The methodology was divided into five parts. Initially, the definition and characterization of the object of study was made, then the presentation of the physical factors, the definition and use of the software for parameterization of the windows, the configuration of the model of the generative system that was simulated and, finally, the representation of the results. The analysis of results was made by comparing the percentage of time of thermal comfort inside environments served by windows dimensioned according to the Construction Code of the municipality of Vitória, NBR 15.575 and RTQ-R, with the window optimized by the evolutionary algorithms according to models of adaptive comfort and PMV proposed by ASHRAE 55. The results showed that: the windows generate different levels of comfort to the users; the simulated parameters influence the thermal performance of the building and; the algorithms improved the simulated situations. Therefore, it is evident the need to propose adequate windows, generating efficient buildings and providing more comfort to users