Meteorological parameters is a major factor affecting building thermal environment and heating and air conditioning energy consumption, and climate change has a significant impact on building energy consumption. Based on 30 years historical observations of Chengdu from 1971 to 2000, the hourly meteorological data file is generated which is required by the building energy simulation software EnergyPlus. The changes of 30-year monthly mean dry bulb temperature, monthly mean solar radiation in the area were compared and analyzed, and the heating, cooling and building total energy consumption is simulated and analyzed. At last the building energy relationship with meteorological parameters by using multiple regression is established, and the accuracy of the relationship is tested. The results shows that: the regularity relationship between change of building energy consumption and meteorological parameters isn't significant. the building monthly total energy consumption and meteorological parameters show a pure quadratic relationship, and a cross binomial relationship between monthly heating energy consumption, monthly cooling energy consumption and meteorological parameters is found. Building monthly energy regression model can predict the relationship between building monthly energy consumption and various meteorological parameters accurately, and the monthly heating energy consumption and monthly cooling energy consumption regression model predicts better than monthly total energy consumption model.