REGRESSION ANALYSIS OF ELECTRIC ENERGY CONSUMPTION OF COMMERCIAL BUILDINGS IN BRAZIL
This paper describes a regression analysis performed over parameters related to two commercial building types and three weather files of Brazilian cities. A random sampling technique was applied to reduce the number of simulation runs needed in the parametric analysis. Equations to estimate the electric energy consumption as a function of building parameters were obtained. Despite the high coefficient of determination obtained for each equation, higher than 0.9760, the amount of data estimated with error higher than 20％ is significant. The equations are presented as simplified tools to support the designer, as well the simulationist, to get a better understanding of the energy performance of the building. Such an analysis could be carried out before the incursion in a detailed simulation programme. Limitations about the equations are also discussed in the paper.
Regression analysis sensitivity analysis EnergyPlus
Fernando Simon Westphal Roberto Lamberts
Energy Efficiency in Buildings Laboratory (LabEEE) Federal University of Santa Catarina (UFSC) Florianópolis - Santa Catarina - Brazil
国际会议
北京
英文
2007-09-03（万方平台首次上网日期，不代表论文的发表时间）