Building energy management system in public buildings versus energy efficiency

被引:0
作者
Lu Jun [1 ]
Chen Jin-hua [1 ,2 ]
Shen Wei [3 ]
机构
[1] Chongqing Univ, Minist Educ, Key Lab Gorges Reservoir Reg Ecoenvironm 3, Chongqing 400045, Peoples R China
[2] Chongqing Univ, Fac Urban Construct & Environm Engn, Chongqing 400045, Peoples R China
[3] JIZHUNFANGZHONG Architectural Design Associates, Chengdu 610015, Peoples R China
来源
JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY | 2007年 / 14卷
关键词
building energy management system(BEMS); building automatic system; energy efficiency; public building;
D O I
10.1007/s11771-007-0380-x
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
A systematic and detailed introduction of the energy management system in public buildings is taken. Firstly, the building equipment management operating system, which emphasizes particularly on the development of user interface is developed, aiming at the implement of energy management in public buildings. At the same time, the surveillance function and control function of the subsystems for each energy unit are stressed, and the surveillance and control of the subsystems are combined to make the best interface for daily energy management and energy saving control. Then, the energy management system is constructed from the aspects of energy consumption statistic, equipment runtime statistic, parameter statistic and multifunction alarm to make the energy management system more flexible and scalable so as to improve the energy saving effect. Furthermore, Sub-area computation to the energy consumption is also analyzed. Different kinds of fee charge methods are argued and discussed. Finally, the objectives of building equipment management system and the building energy management system in the existing public buildings are summarized. The success and application of energy management system in public buildings will help to save running cost to a great extent.
引用
收藏
页码:129 / 135
页数:7
相关论文
共 21 条
[1]   A survey of energy efficient strategies for effective air conditioning [J].
Al-Rabghi, OM ;
Akyurt, MM .
ENERGY CONVERSION AND MANAGEMENT, 2004, 45 (11-12) :1643-1654
[2]   A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems [J].
Alcalá, R ;
Casillas, J ;
Cordón, O ;
González, A ;
Herrera, F .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2005, 18 (03) :279-296
[3]  
Brandemuehl M. J., 1999, ASHRAE T, V105, P39
[4]  
Clark G., 1997, Automation in Construction, V6, P481, DOI 10.1016/S0926-5805(97)00026-5
[5]  
Elovitz DM, 1995, ASHRAE TRAN, V101, P613
[6]   HVAC system optimization for energy management by evolutionary programming [J].
Fong, KF ;
Hanby, VI ;
Chow, TT .
ENERGY AND BUILDINGS, 2006, 38 (03) :220-231
[7]   Using genetic algorithms to optimize controller parameters for HVAC systems [J].
Huang, W ;
Lam, HN .
ENERGY AND BUILDINGS, 1997, 26 (03) :277-282
[8]   Multivariable control of single zone hydronic heating systems with neural networks [J].
Kanarachos, A ;
Geramanis, K .
ENERGY CONVERSION AND MANAGEMENT, 1998, 39 (13) :1317-1336
[9]   Optimized supply-air temperature (SAT) in variable-air-volume (VAV) systems [J].
Ke, YP ;
Mumma, SA .
ENERGY, 1997, 22 (06) :601-614
[10]   Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating networks [J].
Kolokotsa, D ;
Stavrakakis, GS ;
Kalaitzakis, K ;
Agoris, D .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2002, 15 (05) :417-428