Avaliação de desempenho térmico: edificações de conjuntos habitacionais multifamiliares de Alegrete/RS

Abstract

Several studies, used for developing computational programs, consider the materials constitut-ing the frontage of the building, as well as the final use of the environments, activities developed and quantity of users as parameters of analysis. They have been increasingly used and are look-ing for low impact solutions for the environment. The construction market is driven by the search for savings in electric energy and expenses in a construction, so that it meets current standards. Whence, the main objective of this work is to evaluate the thermal comfort conditions (internal temperature matching to the external), based on simulations thermos energetic, for multifamily residential buildings made up of more than one block in Alegrete/RS. A brief bib-liographic survey of the thermal performance analysis carried out, together with the application of a method to perform thermos energetic simulations in order to verify the performance test by ABNT NBR 15.575/2013. As a practical application, a local research carried out and the case study models defined through a matrix of criteria elaborated by the author. The develop-ment of the building model is adopted by a simplified modeling in the computational environ-ment with the following tools: Open Studio, Google SketchUp plugin, and EnergyPlus. With ownership of the results of the simulations; the Residential 10, building of structural masonry, presented a performance three times better in the winter than in the summer, attending with quality the performance standard; the Residential 3, construction of reinforced concrete, met the requirements of the standard and presented a better performance in the summer period; and the Residential 11 was rejected by normative parameters, as in 48.3% of the analyzed rooms did not meet the minimum criteria. This work can be used for other types of analyzes, such as with power generation equipment and cooling systems, and simulations can still be improved in order to obtain optimal reference models.