摘要
为确定某地源热泵系统节能改造合同能源管理项目的节能量,以可能影响系统电耗的各种因素为自变量,首先通过计算分析剔除对电耗影响的次要因素,选择与因变量存在良好相关性的自变量,应用最小二乘法通过最小化误差的平方和寻找数据的最佳函数匹配,拟合建立系统电耗因变量与自变量之间的函数关系,并以F检验法检验拟合结果的有效性,将系统改造后的运行因素代入所建立的函数模型求出改造前系统的修正电耗,得出系统节电量。结果表明,基于最小二乘法的线性拟合在中央空调系统改造节电量计算中可以较好地得到应用,也可以在写字楼、商场等公共建筑的电耗分析及预测中推广应用。
As the independent variable consumption for the various factors that might affect the system power,the calculation and analysis of correlation factors excluding the poor and dependent variable,independent variable has a good correlation,the establishment of system power consumption due to the multiple linear regression model between the variable and independent variable,using the F inspection significant to test the regression model,regression model into the operating factors after the transformation of the system established by the modified power consumption for transformation of the former system,calculated the energy saving system. The results show that,the multiple linear regression model can be applied well in the transformation of the ground source heat pump system energy saving calculation,and also can be applied in the analysis and prediction of power consumption of office buildings,shopping malls and other public buildings.
出处
《冶金能源》
2015年第6期52-54,共3页
Energy For Metallurgical Industry
关键词
最小二乘法
电耗
因变量
自变量
节能改造
least squares method power consumption dependent variable independent variables
energy saving and transformation
