The aim of this work was to develop a simple model to predict the electric energy consumption of office buildings artificially air-conditioned, for 14 (fourteen) Brazilian cities (Belém, Brasília, Curitiba, Florianópolis, Fortaleza, Maceió, Natal, Porto Alegre, Recife, Rio de Janeiro, Salvador, S?o Luís, S?o Paulo and Vitória). The building annual energy consumption was correlated with several architectural and constructive variables for each city analysed. Many variables were tested to seek those more important to be used to predict the electricity consumption. The variables that have been selected are the size of the building (number of floors and the shape size), the fa?ade composition (window to wall ratio), thermal transmittance and absorptance of roof, the shading coefficient of glazing, the solar protection, fa?ade and roof colours, occupation and electric power density (lights and equipments). The equations demonstrate good result with r2 higher than 0.99 for most cities.
展开▼
机译：这项工作的目的是开发一个简单的模型，以预测人工空调的办公楼的电能消耗，14（十四）巴西城市（Belém，Brasília，库里提巴，Florianópolis，Fortaleza，Maceió，Natal，Porto Alegre， Refife，Rio de Janeiro，Salvador，S？OLuís，S？O Paulo和Vitória）。建筑物年能耗与分析的每个城市的几个建筑和建设性变量相关。测试了许多变量，以寻求更重要的是用于预测电力消耗。所选择的变量是建筑物的大小（楼层数量和形状尺寸），FA？ADE组合物（窗口与壁比），屋顶的热透射率和吸收率，遮光系数玻璃玻璃窗，太阳能保护，FA？ade和屋顶颜色，职业和电力密度（灯和设备）。对于大多数城市，r2的R2展示了良好的结果。
展开▼
