Study on Non Energy Saving Status Detection of Groundwater Heat Pump System Using Artificial Neural Network Method

被引：0

作者：

Wang, Zhiwei ^{[1
]}

Peng, Yi ^{[1
]}

Zhang, Zhonghe ^{[1
]}

Cao, Wei ^{[2
]}

Li, Peng ^{[2
]}

机构：

[1] Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, Xian 710055, Peoples R China

[2] Silian Intelligence Technol Share Co Ltd, Dept Renewable Energy Usage, Xian 710055, Peoples R China

来源：

2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL III | 2010年

关键词：

artificial neural network; optimal algorithm; non energy saving; status detection; relationship database; groundwater heat pump;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Presents two types of characteristic data: basic characteristic parameters and index characteristic parameters for non energy saving status detection (NESSD) of groundwater heat pump (GWHP) system, establishes the relationship database between characteristic data and fault factors of NESSD. For three kinds of improving back propagation (BP) algorithms: Variable Learning Rate (VLR) BP algorithm, Scaled Conjugate Gradient (SCG) BP algorithm, and Levenberg-Marquardt (LM) BP algorithm, these various algorithms' comparative study had been conducted on the GWHP system's NESSD. The optimal algorithm among them is determined and the GWHP system's NESSD as cases studies can be carried out based on the most suitable BP algorithm.

引用

页码：518 / 522

页数：5

共 12 条

[1] Performance prediction of a ground-coupled heat pump system using artificial neural networks [J].

Esen, Hikmet ;

Inalli, Mustafa ;

Sengur, Abdulkadir ;

Esen, Mehmet .

EXPERT SYSTEMS WITH APPLICATIONS, 2008, 35 (04) :1940-1948

[2] Modelling of a vertical ground coupled heat pump system by using artificial neural networks [J].

Esen, Hikmet ;

Inalli, Mustafa .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (07) :10229-10238

[3]

Ge Zhe-Fei, 2007, NEURAL NETWORK THEOR

[4]

Jiang Y. Q., 2002, HV AC, V32, P120

[5]

Jiang Y. Q., 2002, J REFRIGERATION, V23, P32

[6]

Ma Zuiliang, 2008, HEAT PUMP TECHNOLOGY

[7] Performance prediction of a direct expansion solar assisted heat pump using artificial neural networks [J].

Mohanraj, M. ;

Jayaraj, S. ;

Muraleedharan, C. .

APPLIED ENERGY, 2009, 86 (09) :1442-1449

[8]

The Ministry of Construction of People's Republic of China Design standard for energy efficiency of public buildings, 2005, 501892005 GB MIN CON

[9]

Wang Z. Y., 2005, REFRIGERATION AIR CO, V26, P5

[10]

Wu Z., 2006, NEW ENERGY RENEWABLE

← 1 2 →