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