NISCAIR Online Periodicals Repository

NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR)  >
NISCAIR PUBLICATIONS >
Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.66 [2007] >
JSIR Vol.66(12) [December 2007] >


Title: Analysis of heat pipe solar collector using artificial neural network
Authors: Sivaraman, B
Mohan, N Krishna
Keywords: Artificial neural network
Capillary limit
Heat pipe
Solar collector
Wick
Issue Date: Dec-2007
Publisher: CSIR
Abstract: Artificial neural network (ANN) has been used to analyze effects of L/di, (total length/ inner diam of heat pipe), Lc/Lℯ, (condenser length/ evaporator length), water inlet temperature, collector tilt angle and solar intensity on heat pipe solar collector (HPSC). Heat pipes (5 each) having two different Lc/Lℯ and L/di ratios have been designed, fabricated and used in solar collector absorber. Copper container, stainless steel wick material and methanol as working fluid were used for heat pipes, which are designed to have heat transport factor of around 194 W and 260 W of thermal energy. Experiments were conducted during summer with different collector tilt angles to the horizontal. Collector efficiency, which increases with decrease in L/di ratio and increase in Lc/Lℯ ratio, is due to increase in heat transport factor of heat pipe.
Page(s): 995-1001
ISSN: 0022-4456
Source:JSIR Vol.66(12) [December 2007]

Files in This Item:

File Description SizeFormat
JSIR 66(12) (2007) 995-1001.pdf103.62 kBAdobe PDFView/Open
 Current Page Visits: 718 
Recommend this item

 

National Knowledge Resources Consortium |  NISCAIR Website |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2012 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 592665 since 06-Feb-2009  Last updated on 18-Sep-2014Webmaster: nopr@niscair.res.in