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机构地区:[1]西安建筑科技大学信息与控制工程学院,陕西西安710055
出 处:《现代建筑电气》2017年第1期9-13,共5页Modern Architecture Electric
基 金:住房和城乡建设部科学技术项目(2012-K1-35)
摘 要:通过对中央空调系统中冷水机组的运行分析,采用最小二乘法、递推最小二乘法、广义最小二乘法及广义递推最小二乘法建立冷水机组的能耗模型。以西安建筑科技大学智能建筑研究所的变风量中央空调系统的运行数据为样本,比较并分析了不同辨识方法对辨识精度的影响,确定了适用于冷水机组历史运行数据辨识的方法。结果表明,采用广义最小二乘法辨识冷水机组模型参数,提高了冷水机组能耗模型的辨识精度,为系统进一步优化提供了可靠依据。Based on the operational analysis of chiller in central air conditioning system, by using least square method,recursive least squares method, generalized least squares method and generalized recursive recursive least squares method the energy consumption model of chiller were constructed. The operation data of the chiller of a variable air conditioning system for intelligent building in Xi' an University of Awhitecture and Technology were employed to compare and analyze the effect of various identification methods on identification precision. The identification method which was suitable for the historical operation data of the chiller was determined. The results indicated that the generalized least squares method which identifies the parameters of the chiller model, could improve the identification accuracy of the chiller energy, consumption model. The generalized least squares method provides a reliable basis for further study of optimization.
分 类 号:TU831[建筑科学—供热、供燃气、通风及空调工程]
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