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地源热泵冷热水机组性能的ARMA模型
引用本文:许伟明,王瑞祥,曹旭明.地源热泵冷热水机组性能的ARMA模型[J].北京建筑工程学院学报,2011,27(2):51-55.
作者姓名:许伟明  王瑞祥  曹旭明
作者单位:北京建筑工程学院北京市绿色建筑与节能技术重点实验室;北京城建安装公司;
基金项目:北京市人才强教学术创新团队资助项目(PHR201007127)
摘    要:自回归滑动平均模型(Auto-Regressive and Moving Average Model,ARMA)是研究时间序列的重要方法,是分析地源热泵冷热水机组性能的有效手段之一.建立了热泵冷热水机组使用侧回水温度Te2和埋管侧回水温度Tc2的ARMA模型,利用该模型对北京中关村国际商城可再生能源示范项目的地源热泵冷热水机组性能的实际运行状况进行了分析诊断.

关 键 词:地源热泵冷热水机组  性能预测  ARMA模型  时间序列法

Use of Auto-Regressive and Moving Average Model to Simulate the Performance of Ground-source Heat Pump Water Heater/Chillers
Xu Weiming,Wang Ruixiang,Cao Xuming.Use of Auto-Regressive and Moving Average Model to Simulate the Performance of Ground-source Heat Pump Water Heater/Chillers[J].Journal of Beijing Institute of Civil Engineering and Architecture,2011,27(2):51-55.
Authors:Xu Weiming  Wang Ruixiang  Cao Xuming
Affiliation:Xu Weiming1,Wang Ruixiang1,Cao Xuming2(1.Beijing Higher Institution Key Laboratory of Green Building and Energy Efficient Technology,BUCEA Beijing 100044,2.Beijing Urban Construction Installation Engineering Co.,Ltd.,Beijing 100045)
Abstract:Auto-regressive and moving average model(ARMA) is an important method of time series analysis,as well as an effective means to find out the performance of ground-source heat pump(GSHP).The ARMA model of GSHP was established with the return water temperature Te2 of GSHP and that of water temperature Tc2 back to the underground-heat-exchanger.Using this model,performance of the GSHP heater/chillers of the Beijing Zhongguancun International Mall demonstration projects of renewable energy was analyzed.
Keywords:ground-source heat pump heater/chiller unit  performance forecast  ARMA model  time series analysis  
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