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《Journal of Beijing University of Civil Engineering and Architecture》 2011-02
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Use of Auto-Regressive and Moving Average Model to Simulate the Performance of Ground-source Heat Pump Water Heater/Chillers

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)  
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.
【Fund】: 北京市人才强教学术创新团队资助项目(PHR201007127)
【CateGory Index】: TU831.4
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 WANG Hong-jun,LI Xin-guo,ZHAO Jun,LI Li-xin,DONG Yu-ping;Experimental Study and Analysis on Heating Operation of GCHP[J];Fluid Machinery;2003-12
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【Secondary Citations】
Chinese Journal Full-text Database 4 Hits
1 Zhou Yasu, Zhang Xu, Chen Peilin (Department of Energy Engineering, Tongji University, Shanghai,200092);Numerical Simulation and Experimental Study on Heating Operation of GSHP[J];Journal of Donghua University,Natural Science;2002-01
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3 Jiang Yiqiang Yao Yang Ma Zuiliang;Simulation of Performance Based on Artificial Neural Net for Air-source Heat Pump Water Heater/Chillers[J];Fluid Machinery;2002-05
4 WANG Hong-jun,LI Xin-guo,ZHAO Jun,LI Li-xin,DONG Yu-ping;Experimental Study and Analysis on Heating Operation of GCHP[J];Fluid Machinery;2003-12
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