Determination of optimum insulation thickness in different wall orientations and locations in Iran

The present study numerically investigated the optimum insulation thickness determination for conventional walls in Tehran, the capital of Iran. In this study, aerated brick and concrete were considered as the main wall materials, and XPS and EPS as the insulation materials. The one-dimensional transient heat transfer problem for multi-layer walls has been solved to obtain temperature distribution within the wall. Different combinations of wall materials and insulations were examined. Furthermore, the effect of the position of the insulation (inside and outside of the wall) was studied as well. Finally, in order to determine the optimum thickness, which minimizes the total cost of insulation and energy dissipation, economic analysis was carried out for a lifetime of 25 years. It is worth mentioning that in the present study, both cooling and heating seasons were taken into account in the optimization process. The findings revealed that after using insulation, among different wall configurations, yearly transmission load can be decreased in the range of 70–82% compared with an uninsulated wall made from concrete and 31–58% for the aerated brick wall. Moreover, the findings indicated that two different locations of insulations resulted in an approximately equal transmission load and optimum insulation thickness, while their time lag and decrement factor were not the same.

[1]  Li Heng,et al.  Cost-effectiveness assessment of insulated exterior walls of residential buildings in cold climate , 2007 .

[2]  M. F. Zedan,et al.  Effect of electricity tariff on the optimum insulation-thickness in building walls as determined by a dynamic heat-transfer model , 2005 .

[3]  Liwei Tian,et al.  Optimum insulation thickness of residential roof with respect to solar-air degree-hours in hot summe , 2011 .

[4]  S. A. Al-Sanea,et al.  Effect of thermal mass on performance of insulated building walls and the concept of energy savings potential , 2012 .

[5]  J. W. Ramsey,et al.  Thermal Environmental Engineering , 1970 .

[6]  William A. Beckman,et al.  Solar Engineering of Thermal Processes, 2nd ed. , 1994 .

[7]  H. Asan Numerical computation of time lags and decrement factors for different building materials , 2006 .

[8]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .

[9]  Liwei Tian,et al.  A study on optimum insulation thicknesses of external walls in hot summer and cold winter zone of China , 2009 .

[10]  J. Miller Numerical Analysis , 1966, Nature.

[11]  Mohammed M. Farid,et al.  A Review on Energy Conservation in Building Applications with Thermal Storage by Latent Heat Using Phase Change Materials , 2021, Thermal Energy Storage with Phase Change Materials.

[12]  Constantinos A. Balaras,et al.  Heating energy consumption and resulting environmental impact of European apartment buildings , 2005 .

[13]  Meral Ozel,et al.  Determination of optimum insulation thickness based on cooling transmission load for building walls in a hot climate , 2013 .

[14]  A. Bahrami,et al.  THE EFFECT OF ORIENTATION ON OPTIMUM INSULATION POSITION IN THE WALL OF A BUILDING WITH NATURAL VENTILATION IN HOT AND DRY CLIMATE , 2012 .

[15]  Meral Ozel,et al.  Effect of insulation location on dynamic heat-transfer characteristics of building external walls and optimization of insulation thickness , 2014 .

[16]  Constantinos A. Balaras,et al.  Potential for energy conservation in apartment buildings , 2000 .

[17]  Meral Ozel Thermal, economical and environmental analysis of insulated building walls in a cold climate , 2013 .

[18]  Ali Bolatturk,et al.  Optimum insulation thicknesses for building walls with respect to cooling and heating degree-hours in the warmest zone of Turkey , 2008 .

[19]  Figen Balo,et al.  Effect of fuel type on the optimum thickness of selected insulation materials for the four different climatic regions of Turkey , 2009 .

[20]  Mohamed El Mankibi,et al.  Numerical estimation of time lags and decrement factors for wall complexes including Multilayer Thermal Insulation, in two different climatic zones , 2012 .

[21]  Meral Özel,et al.  Investigation of the most suitable location of insulation applying on building roof from maximum load levelling point of view , 2007 .

[22]  Mohammed Al-Khawaja,et al.  Determination and selecting the optimum thickness of insulation for buildings in hot countries by accounting for solar radiation , 2004 .

[23]  E. Ayiemba Population and Housing Census , 2012 .

[24]  Meral Özel,et al.  Optimum location and distribution of insulation layers on building walls with various orientations , 2007 .

[25]  Naouel Daouas,et al.  Analytical periodic solution for the study of thermal performance and optimum insulation thickness of building walls in Tunisia , 2010 .

[26]  Tobago Population and Housing Census. , 2011 .

[27]  Meral Ozel,et al.  Cost analysis for optimum thicknesses and environmental impacts of different insulation materials , 2012 .

[28]  H. Asan,et al.  Investigation of wall's optimum insulation position from maximum time lag and minimum decrement factor point of view , 2000 .

[29]  H. Hottel A simple model for estimating the transmittance of direct solar radiation through clear atmospheres , 1976 .

[30]  H. Asan,et al.  Effects of Wall's thermophysical properties on time lag and decrement factor , 1998 .

[31]  Naouel Daouas,et al.  A study on optimum insulation thickness in walls and energy savings in Tunisian buildings based on analytical calculation of cooling and heating transmission loads , 2011 .

[32]  Angelika Bayer,et al.  Solar Engineering Of Thermal Processes , 2016 .

[33]  Omer Kaynakli,et al.  A review of the economical and optimum thermal insulation thickness for building applications , 2012 .

[34]  O. Kaynakli,et al.  A study on residential heating energy requirement and optimum insulation thickness , 2008 .