[1]
National Statistics Bureau of the People's Republic of China. China Statistical Yearbook 2008 [M] .Beijing: China Statistical Publishing Press (2009).
Google Scholar
[2]
Chong Wu, Changbin Liu, Yingzong Liu, Hongle Qu. Building Energy Saving Management System Innovation Research of China[M]. Beijing:China Construction Industry Press,(2007).
Google Scholar
[3]
Zhongneng Mo. Research on Energy Consumption Analysis and Water System Energy Saving of Central Air Conditioning on Xinyuan Building. Master thesis CNKI,11, (2010).
Google Scholar
[4]
Wan Li. The Energy Saving Measures of Central Air Conditioning System [J].Fluid Machinery, (2005), 33(2) P: 70-72.
Google Scholar
[5]
Xiaoyong Wu, Wenwu Song. The Energy Saving Technology of Central Air Conditioning Cooling Water Circulation System C, Refrigeration and Air Conditioning, (2011), 25 (1) : 69 ~ 62.
Google Scholar
[6]
Xi Wang. The Energy Saving Analysis and Optimization Control Strategy of One Central Air Conditioning System, master thesis CNKI, 10, (2010).
Google Scholar
[7]
Sulong Li. Analysis on Variable Flow Control of Air Conditioning Water System [J].J HVAC,(2007), 37 (1) : 113-11
Google Scholar
[8]
Donald M Eppelheimer. Variable Flow The question for system energy efficiency [J].ASHRAE Transactions: Symposia,(1998)(10)P:673-678
Google Scholar
[9]
Stan.Shiels. Locating the greatest centrifugal pump energy savings [J], ASHRAE Transactions Symposia, (1998)
DOI: 10.1016/b978-185617445-9/50012-6
Google Scholar
[10]
Sulong Li. Research on Variable Flow of Central Air Conditioning Cooling Water [J].J HVAC, (2005), 35 P (6):-54
Google Scholar
[11]
Sulong Li, Li Xu, Haifeng Zhu. Research on Water-cooled Chiller Condensate Temperature Control Method [J]; Journal of refrigeration, (2005), and (4) P: 59-62
Google Scholar
[12]
Wang SW, Burnett J. Online adaptive control for optimizing variable speed pumps of indirect water-cooled chilling systems [J]. Appl Therm Eng (2001); 21(11) P: 1083–1103.
DOI: 10.1016/s1359-4311(00)00109-5
Google Scholar
[13]
CurtissP.s. Artificial neural networks for use in building systems control and management [J] .Ph.D.Dissertation, University of Colorado-Boulder Joint center for energy management,(1992).
Google Scholar
[14]
Feikuang Zhang. The Reform of the Way on Cooling Tower Fan Driving Force [J].Energy Saving,(2004); (2) pp.35-38.
Google Scholar
[15]
Jihong Wu, Tongqing Yang. Research on the Optimization Control Strategies of Water Chiller System [J]; Intelligent Building, (2007), (8) P: 28 to 32.
Google Scholar
[16]
Jili Zhang, Tianyi Zhao. Research on Energy-saving Progress of Large Public Air Conditioning System; Building Heat Ventilation and Air-conditioning, (2011); (6) P2 ~ 10.
Google Scholar
[17]
Yujie Li, Xiaobing Cai, Lin Guo. The Energy-saving Technology and Application on the Fuzzy Control of Central Air Conditioning System [M].China Construction Industry Press, (2009).
Google Scholar