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Souza, L. C. L. de; Silva, A. N. R. da. Evaluating an alternative approach to estimate the influence of the orientation of buildings on electrical energy consumption. In: INTERNATIONAL CONFERENCE ON PASSIVE AND LOW ENERGY ARCHITETURE, 18., 2001, Florianópolis. Anais... Florianópolis, 2001. p. 775-780.
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Número de Trabalhos: 2 (Nenhum com arquivo PDF disponível)
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Dados do autor na base InfoHab:
Número de Trabalhos: 3 (Nenhum com arquivo PDF disponível)
Citações: 4
Índice h: 2  
Co-autores: 15

Abstract

The main objective of this study is to evaluate an approach used to estimate the influence of the orientation of buildings on their electrical energy consumption. The proposed method, which is based on Artificial Neural Networks (ANN), can be used to assess the influence of several input variables (i.e., number and age of residents per apartment, number and type of electrical appliances per apartment, and position of the apartments in relation to the direction of the sun’s rays) on the output value. Based on these data, the models predict the electrical energy consumption in buildings with different characteristics and the relative weight of each input variable on the output value. The two residential buildings on which the method was tested in this study are located in the city of Bauru, state of São Paulo, Brazil. The predictive power of the ANN models varied in the two cases, but their performance was generally satisfactory. More than generating isolated models, however, the approach proposed here is an interesting alternative to extend and improve studies based only on qualitative analyses.
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