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Simulating Central Chiller Plant Loop Delta-T with Quadratic Regression Models 用二次回归模型模拟中央冷水机组回路Delta-T
Loop delta-T是中央冷冻水系统仿真和优化的关键参数,尤其是对于带有冷冻水储水箱的软管和具有高泵功率装置的软管。本文提出使用二次回归模型来建模Loop delta-T。建模过程分为三个步骤:变量选择和筛选、最佳回归筛选和模型质量检查。选择八个变量作为重要变量的候选变量。使用P值标准或统计标准R²和RMSE筛选出显著性较小的变量。其余变量与相应的叉积项组合,形成二次回归模型。 利用Mallow统计量确定最佳二次模型。最后,通过残差分析和影响点检验来检验模型的充分性。利用两个实际冷水系统的数据说明了这一过程,并获得了相当精确的模型。引用:ASHRAE Trans。,第118卷第。德克萨斯州圣安东尼奥2号
Loop delta-T is a critical parameter for the simulation andoptimization of a central chilled water system, especially forthose with chilled water storage tanks and those with highpump power installation. This paper proposes to model theloop delta-T using a quadratic regression model. The modelingprocedure is divided into three steps: variables selection andfiltering, best regression screening, and model adequacycheck. Eight variables are selected as candidates of significantvariables. The variables with less significance are screenedout using P-value criteria or statistic criteria R2adjand RMSE.The remaining variables are combined with their correspondingcross-product terms to form quadratic regression models.The best quadratic model is identified using Mallow's Ckstatistic. Finally, the adequacy of the model is checked withresidual analysis and influential point examination. Thisprocedure was illustrated using data from two real chilledwater systems and reasonably accurate models were obtained.
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