Equações preditivas para determinar a temperatura interna do ar: envolventes em painel alveolar com cobertura verde / Equations to determine the internal temperature of the air: walls and ceiling build from panels of alveolar concrete with green roof

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

Introduction: Using a statistics tool called multiple linear regression, we created equations for predicting the indoor temperature in a building with walls and ceiling build from panels of alveolar concrete, with a green roof system. Explanation: Predictive equations enable simulations of indoor temperatures of buildings using a small number of data and with a satisfactory precision. They also allow corrections on project errors before they are put into effect. Objectives: Generate predictive equations for the building for the dry season (autumn and winter) and for the rainy season (spring and summer). Method: We selected two series of data, one for the dry and one for the rainy season. Using linear regression analysis we ran predictive equations for maximum, intermediate and minimum indoor temperatures of the air for both seasons. Results: We created seven predictive equations for the dry season and five for the wet season. The largest differences (in module) between the temperatures estimated using equations and monitored experimentally was approximately 2°C. Conclusion: The predictive equations generated for both periods described satisfactorily the thermal behavior of the building.

ASSUNTO(S)

predições de temperaturas internas do ar linear equations predictions of indoor temperatures of the air predictive equations for the temperature equações preditivas de temperatura equações lineares

ACESSO AO ARTIGO

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