SIMULAÇÃO COMPUTACIONAL DE EDIFICAÇÃO RESIDENCIAL COM DIFERENTES SISTEMAS DE COBERTURAS EM RIO VERDE – GO

Abstract

Energy efficiency in buildings is essential to reduce energy consumption and minimize negative impacts on the environment, especially in a context of growing concern about the scarcity of natural resources and climate change. This work carried out a computer simulation using the software Energy Plus to analyze the energy consumption of a residential building located in Rio Verde - GO. The objective was to identify the influence of ceramic, isothermal, fiber cement and green roof systems on the energy performance of buildings and propose solutions that optimize energy consumption. In this sense, the question that guides this research is: Which factors influence the energy consumption of buildings and how it is possible to optimize the energy performance using different cover systems and solar orientations? To answer this question, different scenarios were simulated, varying types of tiles, ceramic, isothermal, fiber cement and green roof, and solar orientation, in order to evaluate the thermal behavior and impact of these variables on energy consumption. The methodology used included detailed modeling of the building, simulation of scenarios and analysis of results to identify the main sources of energy consumption. The results indicated that roof systems with isothermal and ceramic tiles are quite equivalent when it comes to thermal comfort. However, the analysis detailed that the isothermal tile showed a slight advantage in reducing energy consumption under high temperatures, while the ceramic tile stood out in warmer temperature situations. Regarding the solar orientation of the building, the front facade facing south demonstrated the best results in terms of thermal comfort and energy efficiency, while the west facade showed the worst results, due to the higher direct solar incidence during the afternoon, increasing the thermal load inside the building. Energy simulation has proven to be an effective tool for predicting the energy performance of buildings and proposing guidelines to promote more sustainable and economical constructions. The study shows that by applying simulation technologies in the design phase, it is possible to predict and optimize energy consumption.