DocumentCode :
1947055
Title :
The optimum start-up of central air-conditioning based on neural network
Author :
Zengxi, Feng ; Qingchang, Ren ; Junqi, Yu
Author_Institution :
Sch. of Info. & Cont. Eng., Xi´´an Univ. of Arch. & Tech., Xi´´an, China
Volume :
7
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
286
Lastpage :
288
Abstract :
The preheat time of central air-conditioning system preheating space is not only affect the comfort of environment, but also affect energy consumption. A preheat time model is established based on the thermodynamics principle, and an optimum stat-up algorithm of central air-conditioning system is proposed based on the NN (neural network), the simulation result shows that this method can predict the preheat time accurately which make central air-conditioning system save energy.
Keywords :
air conditioning; energy consumption; neural nets; thermodynamics; air conditioning; energy consumption; neural network; preheat time model; preheating space; thermodynamics; Artificial neural networks; Educational institutions; Optimum Start-up; central air-conditioning system; energy saving; neural network; preheat time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5564470
Filename :
5564470
Link To Document :
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