DocumentCode
176184
Title
Modeling research on ground-coupled heat pump system based on artificial neural network
Author
Yating Zhang ; Weichang Jiang ; Ruihua Wang
Author_Institution
Coll. of Elctronic & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
2320
Lastpage
2323
Abstract
As a new technology of renewable energy, ground-coupled heat pump system has been rising in our country in recently years. However because of the nonlinear and high degree of coupling, it is not clear to find out the relationship between control variables and total energy consumption of the system. This paper proposes a modeling way for ground-coupled heat pump system that uses artificial neural network, it builds the relationship between control variables and total energy consumption of the system directly. Through the comparison we can find a better way for building the Ground-coupled heat pump System.
Keywords
ground source heat pumps; neurocontrollers; renewable energy sources; artificial neural network; control variables; energy consumption; ground coupled heat pump system; renewable energy source; Artificial neural networks; Atmospheric modeling; Educational institutions; Energy consumption; Heat engines; Heat pumps; BP neural network; LM algorithm; RBF neural network; ground-coupled heat pump system;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852559
Filename
6852559
Link To Document