the Application of Recurrent Artificial Neural Network in Chiller Energy Analysis Simulationt

NCUTIR > College of Management > Development of Industrial Engineering and Management > 【工業工程與管理系所】期刊論文 > Item 987654321/6206

Please use this identifier to cite or link to this item: http://ir.lib.ncut.edu.tw/handle/987654321/6206

Title:	the Application of Recurrent Artificial Neural Network in Chiller Energy Analysis Simulationt
Authors:	洪永祥
Contributors:	工業工程與(工程)管理系
Date:	2013-03
Issue Date:	2017-09-30 13:26:10 (UTC+8)
Abstract:	In recent years, due to the rapid development of high-tech industry, air-conditioning equipment has become an essential facility. However, the power consumption of the air-conditioning equipment is considerably high, accounting for 40-50% of the total building electricity consumption. The air-conditioning equipment includes chiller, pump, fan, cooling tower fan motor; therefore, how to reduce energy consumption and improve energy utilization will be a very important topic. This study used the sensors on the site to collect historical data of load change for analysis and conducted simulation and verification using the artificial neural recurrent network and MATLAB. The frequency of cooling tower fan was set as the output parameter and two groups of modules were established to effectively predict the frequency of cooling tower fan by rainfall to optimize the cooling water fan rotational frequency, in order to reduce power consumption of the cooling tower in different environmental conditions for energy saving. © 2013 Asian Network for Scientific Information. (9 refs)
Relation:	Information Technology Journal
Appears in Collections:	[Development of Industrial Engineering and Management] 【工業工程與管理系所】期刊論文

Files in This Item:

There are no files associated with this item.

View Licence