AccScience Publishing / IJOCTA / Volume 7 / Issue 2 / DOI: 10.11121/ijocta.01.2017.00462
RESEARCH ARTICLE

Determination of optimum insulation thicknesses using economical analyse  for exterior walls of buildings with different masses

Okan KON1*
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1 Department of Mechanical Engineering, Balikesir University, Turkey
IJOCTA 2017, 7(2), 149–157; https://doi.org/10.11121/ijocta.01.2017.00462
Submitted: 15 March 2017 | Accepted: 12 June 2017 | Published: 5 July 2017
© 2017 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

In this study, five different cities were selected from the five climatic  zones according to Turkish standard TS 825, and insulation thicknesses of  exterior walls of sample buildings were calculated by using optimization.  Vertical perforated bricks with density of 550 kg/m3 and 1000  kg/m3werechosen within the study content. Glass wool, expanded  polystyrene (XPS), extruded polystyrene (EPS) were considered as  insulation materials. Additionally, natural gas, coal, fuel oil and LPG were utilized as fuel for heating process while electricity was used for cooling.  Life cycle cost (LCC) analysis and degree-day method were the  approaches for optimum insulation thickness calculations. As a result, in  case of usage vertical perforated bricks with density of 550 kg/m3 and  1000 kg/m3 resulted different values in between 0.005-0.007 m (5-7 mm)  in the optimum insulation thickness calculations under different insulation  materials. Minimum optimum insulation thickness was calculated in case XPS was preferred as insulation material, and the maximum one was  calculated in case of using glass wool.

Keywords
Building mass
Optimization
Thermal insulation
Lifecycle cost analysis
Degree-day method
Conflict of interest
The authors declare they have no competing interests.
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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing