气象参数对成都地区办公建筑能耗的影响及预测

气象参数是影响建筑热环境和供暖空调能耗的主要因素之一。基于成都地区1971—2000年共30a的历史观测数据,生成了建筑能耗模拟软件EnergyPlus所需要的逐时气象数据文件。比较分析了该地区30a干球温度、太阳辐射等各气象参数月均值的变化,模拟分析了该地区建筑的采暖、制冷及总能耗,利用多元回归建立了建筑能耗与气象参数之间的关系式,并检验了该关系式的准确性。结果表明:成都地区办公建筑能耗变化与各气象参数没有呈现明显的规律性;建筑月总能耗与各气象参数呈纯二次多项式关系,月采暖能耗、月制冷能耗与各气象参数呈交叉二项式关系;建筑月能耗回归模型能够较准确地预测建筑月能耗与各气象参数的关系,且月采暖能耗和月制冷能耗回归模型预测的准确性优于月总能耗模型。

Influence of meteorological parameters on building energy consumption

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.