Analysis of the façades surface temperatures – Artificial Neural Networks application

Looking for the energy efficiency improvement of the buildings, some countries are developing programs for the new or existent buildings to be more efficient. In Brazil, the research is to meet a very recently quality stamp, that is taking care to reduce wastes from the governmental public domain. This article proposes the analysis between the ?glass and wall surface temperatures and increase of classrooms radiance temperature, at Campinas City So Paulo State. For this methodology is adopted the Artificial Neural Network to simulate the variables. This work is inserted in the project Energetic Efficiency Indicators and Environmental Comfort of Public Schools. INDEECON, financed by MCT/FINEP/CET-ENERG and CNPq.