DocumentCode :
3170858
Title :
Study of optimization control strategy of ice storage system
Author :
Chunchun, Liu ; Wei, Tong
Author_Institution :
Inf. & Control Eng. Sch., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
fYear :
2011
fDate :
16-18 April 2011
Firstpage :
1699
Lastpage :
1702
Abstract :
The technique of ice storage is the uppermost technical measure for the future in China, which can realize the “peak load shifting” and the Demand-Side Management, meliorate the contradictions between providing and demanding. Based on the ASHRAE (American Society of Heating, Refrigeration, and Air Conditioning Engineers) coefficient method and ANN (Artificial Neural Networks) method, the hourly temperature and cooling load are predicted. A preliminary discussion is made to optimization control strategy and the real-time control of ice storage system. And the results show that the on-line correction is great value. Finally, the solution of real-time control and on-line correction is brought forward.
Keywords :
air conditioning; demand side management; neural nets; optimisation; power engineering computing; refrigeration; ANN; ASHRAE; American Society of Heating Refrigeration and Air Conditioning Engineers; artificial neural networks; demand-side management; ice storage system; online correction; optimization control strategy; peak load shifting; real-time control; Artificial neural networks; Buildings; Cooling; Ice; Load modeling; Meteorology; Optimization; Ice storage; On-line correction; Optimization control strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
Type :
conf
DOI :
10.1109/CECNET.2011.5769394
Filename :
5769394
Link To Document :
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