Intelligent Control of Heating Systems in Public Building

Article Preview

Abstract:

Abstract. Because of the characteristics of public buildings, waste exists in university building heating. The traditional time-sharing heating method is opening valve in heating time, and intermittently open valve in anti-freezing time. This heating strategy without considering the realistic weather factors leads to problematic application of heating. According to above situation, this thesis presents a method which intelligently change the watts of heating. Experiment shows that the new metod can intelligently switch on-off valve, and provide a safety and comfortable surroundings for residents. Moreover. Comparing with time-sharing control scheme more energy is saved.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1787-1790

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Xuyang Zhao. The Study and APPlieation on the Building Intelligent Heating Control System [D]. Dalian: Dalian maritime university, (2011).

Google Scholar

[2] Haidong zhang, Xinxuan Zhang, Zhaobo Sun, GuoliTang. Transactions of Atmospheric Sciences [J]. Atmospheric proceedings, 2010. 33(5): 593 -595.

Google Scholar

[3] Zhiwei Zhang. The Design of The Buliding Energying-saving Heating System [D]. Qingdao: Shandong university of science and technology, (2010).

Google Scholar

[4] Zhenyu Wu. Research on WEB of Things Service Environment Architecture and Key Technologies [D]. Beijing: Beijing university of posts and telecommunications, (2013).

Google Scholar

[5] Yuhong wang. Introduction to improve ordinary building heat preservation and heat insulation measures [J]. science and technology, 2012. 23: 213.

Google Scholar

[6] Yong Zeng, Muhua Li. Intelligent building systems and technology [J]. Computer and Modernization, 2003 (7): 15-16.

Google Scholar

[7] Tingting Wu. The Research on Building thermal load forecasting and controlling [D][D]. Dalian: Dalian maritime university, (2012).

Google Scholar

[8] Wei Guo, Yi Jiang, Fei Guo. Energy analysis of multiple ways of heating system [J]. HVAC, 2006, 35(11): 106-110.

Google Scholar