Effectiveness of bottom insulation of a salinity gradient solar pond

Ganguly, S, Date, A and Akbarzadeh, A 2018, 'Effectiveness of bottom insulation of a salinity gradient solar pond', Journal of Solar Energy Engineering, vol. 140, no. 4, pp. 1-5.


Document type: Journal Article
Collection: Journal Articles

Title Effectiveness of bottom insulation of a salinity gradient solar pond
Author(s) Ganguly, S
Date, A
Akbarzadeh, A
Year 2018
Journal name Journal of Solar Energy Engineering
Volume number 140
Issue number 4
Start page 1
End page 5
Total pages 5
Publisher The American Society of Mechanical Engineers (ASME)
Abstract This technical brief presents a study on the effectiveness of the bottom insulation of a salinity gradient solar pond (SGSP) in Melbourne, Australia. Insulation is applied at the bottom of a SGSP in order to minimize the heat loss from the SGSP to the ground underneath. But selection of optimum thickness of the insulation to extract the best thermal performance of an SGSP is a challenge as insulation involves significant investment. Hence, modeling heat loss from SGSP to the ground before and after applying the insulation is thus very essential. In this study, a layer of polystyrene is used as insulation at the bottom of SGSP. The temperature distribution in the SGSP and ground below it, the efficiency of the SGSP and the heat removal from SGSP are estimated for the SGSP without insulation and with insulation of different thicknesses. The results show that the insulation definitely reduces the heat loss from the SGSP to the ground, but to a certain extent. Insulation beyond a certain thickness is proved to be ineffective in increasing the efficiency or reducing the heat loss to ground and thus unable to enhance the thermal performance of the SGSP.
Subject Energy Generation, Conversion and Storage Engineering
DOI - identifier 10.1115/1.4039416
Copyright notice © 2018 ASME
ISSN 0199-6231
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 26 Abstract Views  -  Detailed Statistics
Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us