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Multi-Objective Optimization of Residential Building Roof Layer Thickness for Minimization of Heat Entering the Room Using FEM and Grey Relational Analysis

Multi-Objective Optimization of Residential Building Roof Layer Thickness for Minimization of... In this work, a multi objective optimization on roof layer thickness has been carried out through Taguchi based grey relational analysis technique. Conventional type of residential building roof was changed by a modified pattern of roof having layers namely concrete, phase change material, wood wool and weathering tile and its performance on heat insulation have been studied. In this study, the optimum thickness of roof layers was determined for minimum heat gain through roof by grey relational analysis technique. The thickness of various roof layers were considered as control parameters and varied through five levels of values. For this objective, Taghuchi’s L25 orthogonal array has been employed and the performance on heat insulation was studied through finite element analysis (FEA) technique. The FEA simulation on heat transfer across the roof has also been validated with the experimental results and found that it is having a good agreement. The optimized roof reduces the heat gain and temperature by 30 % and 3 °C respectively in comparison with the conventional type of roof. Also from this study, it was identified that the wood wool is the most predominant roof layer that controls the heat gain into the room. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of The Institution of Engineers (India): Series A Springer Journals

Multi-Objective Optimization of Residential Building Roof Layer Thickness for Minimization of Heat Entering the Room Using FEM and Grey Relational Analysis

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References (10)

Publisher
Springer Journals
Copyright
Copyright © 2014 by The Institution of Engineers (India)
Subject
Engineering; Civil Engineering
ISSN
2250-2149
eISSN
2250-2157
DOI
10.1007/s40030-014-0071-1
Publisher site
See Article on Publisher Site

Abstract

In this work, a multi objective optimization on roof layer thickness has been carried out through Taguchi based grey relational analysis technique. Conventional type of residential building roof was changed by a modified pattern of roof having layers namely concrete, phase change material, wood wool and weathering tile and its performance on heat insulation have been studied. In this study, the optimum thickness of roof layers was determined for minimum heat gain through roof by grey relational analysis technique. The thickness of various roof layers were considered as control parameters and varied through five levels of values. For this objective, Taghuchi’s L25 orthogonal array has been employed and the performance on heat insulation was studied through finite element analysis (FEA) technique. The FEA simulation on heat transfer across the roof has also been validated with the experimental results and found that it is having a good agreement. The optimized roof reduces the heat gain and temperature by 30 % and 3 °C respectively in comparison with the conventional type of roof. Also from this study, it was identified that the wood wool is the most predominant roof layer that controls the heat gain into the room.

Journal

Journal of The Institution of Engineers (India): Series A – Springer Journals

Published: May 20, 2014

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