Modeling and Experimental Research on Ground-Source Heat Pump in Operation by Neural Network

Author

Chen, Jianping ; Lian, Zhiwei ; Tan, Lizheng ; Zhu, Weifeng ; Zhang, Weiqiang

Author_Institution

Shanghai Jiao Tong Univercity, Shanghai, China

fYear

2011

fDate

19-20 Feb. 2011

Firstpage

459

Lastpage

462

Abstract

Ground source Heat Pump(GSHP) is becoming the more and more focus of the world´s attention as a HVAC technique of energy saving and environment protection. This paper first introduced the experiment for Ground-Source water/water Heat Pump. The heat transfer model of underground heat exchanger was introduced, and established predication modeling using neural network. From the computer simulation results, it was concluded that with NN modeling the precision was very high. It is worth to developed and applied for engineering practice and different situation.

Keywords

HVAC; ground source heat pumps; heat exchangers; heat transfer; neural nets; power engineering computing; HVAC technique; computer simulation; environment protection; ground source heat pump; heat transfer model; neural network; predication modeling; underground heat exchanger; Artificial neural networks; Heat pumps; Heat transfer; Predictive models; Temperature distribution; Temperature measurement; Water heating; Ground-Source Heat Pump(GSHP); Neural Network(NN) Predication modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-61284-278-3

Electronic_ISBN

978-0-7695-4350-5

Type

conf

DOI

10.1109/CDCIEM.2011.554

Filename

5747856