DocumentCode
3177775
Title
Analysis of New Type Air-Conditioning for Loom Based on CFD Simulation and Theory of Statistics
Author
Ruiliang, Yang ; Nannan, Zhao ; Yide, Zhou ; Gaoju, Song
Author_Institution
Dept. of Energy & Environ. Eng., Zhongyuan Univ. of Technol., Zhengzhou, China
Volume
3
fYear
2009
fDate
25-27 Dec. 2009
Firstpage
363
Lastpage
366
Abstract
A new energy-saving type of air-conditioning named large and small zone ventilation for loom workshop is proposed in authors´ preliminary work. There are four factors which effect greatest large and small zone ventilation and are concerned by most designer and operators. These factors are: relative humidity of air-inlet in working area, speed of air-inlet in working area, relative humidity of background air-inlet, speed of background air-inlet. Combined with engineering practice, main factors of this new type air-conditioning are researched through CFD simulation software and the theory of statistics. Two parameters including relative humidity of fabric surface and comfort of worker near the loom are chosen as criteria for assessment respectively, main factors are sorted and analyzed by the CFD simulation based on four factors and three levels of orthogonal experimental table, which provides a theoretical basis for energy-saving control in the actual operation.
Keywords
air conditioning; computational fluid dynamics; humidity; statistics; ventilation; CFD simulation software; air conditioning; air inlet; energy saving control; fabric surface; loom workshop; relative humidity; small zone ventilation; statistics theory; Analytical models; Computational fluid dynamics; Computer applications; Conferences; Fabrics; Humidity; Power engineering and energy; Statistical analysis; Statistics; Ventilation; CFD simulation; four factors and three levels; large and small zone ventilation; orthogonal experiment;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location
Chongqing
Print_ISBN
978-0-7695-3930-0
Electronic_ISBN
978-1-4244-5423-5
Type
conf
DOI
10.1109/IFCSTA.2009.327
Filename
5384879
Link To Document