Açıkkalp, E., & Kandemir, S.Y. (2019). A Method for determining optimum insulation thickness: combined economic and environmental method.
Thermal Science and Engineering Progress, 11, 249-253.
https://doi.org/10.1016/j.tsep.2019.04.004
Amani, N., & Kiaee, E. (2020). Developing a two-criteria framework to rank thermal insulation materials in nearly zero energy buildings using multi-objective optimization approach.
Journal of Cleaner Production, 276, 122592.
https://doi.org/10.1016/j.jclepro.2020.122592
Amani, N., & Reza Soroush, A.A. (2020). Effective energy consumption parameters in residential buildings using Building Information Modeling.
Global Journal of Environmental Science and Management, 6(4), 467-480.
https://doi.org/10.22034/gjesm.2020.04.04
Amiri Rad, E., & Fallahi, E. (2019). Optimizing the insulation thickness of external wall by a novel 3E (energy, environmental, economic) method.
Construction and Building Materials, 205, 196–212.
https://doi.org/10.1016/j.conbuildmat.2019.02.006
Annibaldi, V., Cucchiella, F., Berardinis, P.D., Rotilio, M., & Stornelli, V. (2019). Environmental and economic benefits of optimal insulation thickness: A life-cycle cost analysis.
Renewable and Sustainable Energy Reviews, 116, 109441.
https://doi.org/10.1016/j.rser.2019.109441
Arregi, B., Garay, R., Astudillo, J., Garcia, M., & Ramos, J.C. (2020). Experimental and numerical thermal performance assessment of a multi -layer building envelope component made of biocomposite materials.
Energy and Buildings, 214, 109846.
https://doi.org/10.1016/j.enbuild.2020.109846
Aydin, N., & Biyikoğlu, A. (2020). Determination of Optimum Insulation Thickness by Life-Cycle Cost Analysis for Residential Buildings in Turkey.
Science and Technology for the Built Environment, 27, 2-13.
https://doi.org/10.1080/23744731.2020.1776066
Azari, A., Garshasbi, S., Amini, P., Rashed-Ali, H., & Mohammadi, Y. (2016). Multi-objective optimization of building envelope design for life cycle environmental performance.
Energy and Buildings, 126, 524-534.
https://doi.org/10.1016/j.enbuild.2016.05.054
Cabeza, L.F., Castell, A., Medrano, M., Martorell, I., Pe´rez, G., & Ferna´ndez, I. (2010). Experimental study on the performance of insulation materials in Mediterranean construction. Energy and Buildings, 42, 630–636.
https://doi.org/10.1016/j.enbuild.2009.10.033
Canbolat, A.S., Bademlioglu, A.H., Saka, k., & Kaynakli, O. (2020). Investigation of parameters affecting the optimum thermal insulation thickness for building in hot and cold climates.
Thermal Science, 24(5): 2891-2903.
https://doi.org/10.2298/TSCI181105068C
Carreras, J., Boer, D., Guillén-Gosálbez, G., Cabeza, L.F., Medrano, M. & Jiménez, L. (2015). Multi-objective optimization of thermal modelled cubicles considering the total cost and life cycle environmental impact.
Energy and Buildings, 88, 335–346.
https://doi.org/10.1016/j.enbuild.2014.12.007
Coma, J., Pérez, G., de Gracia, A., Burés, S., Urrestarazu, M., & Cabeza, L.F. (2017). Vertical greenery systems for energy savings in buildings: A comparative study between green walls and green facades.
Building and Environment, 111, 228-237.
https://doi.org/10.1016/j.buildenv.2016.11.014
Dombayci, O.A., Ulu, E.Y., Guven, S., Atalay, O., & Ozturk, H.K. (2020). Determination of optimum insulation thickness for building external walls with different insulation materials using environmental impact assessment.
Thermal Science, 24 (1), 303-311.
http://doi:10.2298/TSCI180903010D
Elbeltagi, E., Hegazy, T., & Grierson, D. (2010). A new evolutionary strategy for Pareto Multi-Objective Optimization.
Proceedings of the Seventh International Conference on Engineering Computational Technology,
Civil-Comp Press,
Stirlingshire, UK, Paper 99.
http://doi:10.4203/ccp.94.99
Gonzalo, M.B., & Bovea, M.D. (2017). Environmental and cost performance of building envelope insulation materials to reduce energy demand: thickness optimization.
Energy and Buildings, 150, 527-545.
https://doi.org/10.1016/j.enbuild.2017.06.005
Gounni, A., Mabrouk, M.T., Kheiri, A., & El Alami, M. (2020). Impact of insulation thicknesses of several types of thermal insulator on energy cost with respect to different climate zones in Morocco.
International Conference on Materials & Energy (ICOME’17 and ICOME’18), 307, 01023.
https://doi.org/10.1051/matecconf/202030701023
Liu, X., Chen, X., & Shahrestani, M. (2020). optimization of insulation thickness of external walls of residential buildings in hot summer and cold winter zone of China.
Sustainability, 12(4), 1574.
https://doi.org/10.3390/su12041574.
Kayfeci, M., Keçebas, A., & Gedik, E., (2013). Determination of optimum insulation thickness of external walls with two different methods in cooling applications.
Applied Thermal Engineering, 50 (1), 217-224.
https://doi.org/10.1016/j.applthermaleng.2012.06.031
Kumar, D., Zou, P., Memon, R., Alam, M.D., Sanjayan, J., & Kumar, S. (2019). Life-cycle cost analysis of building wall and insulation materials. Journal of Building Physics, 43 (5), 428-455.
Mahlia, T.M.I., Taufiq, B.N., Ismail, I., & Masjuki, H.H. (2007). Correlation between thermal conductivity and the thickness of selected insulation materials for building wall.
Energy and Buildings, 39 (2), 182–187.
https://doi.org/10.1016/j.enbuild.2006.06.002
Menoufi, K., Castell, A., Farid, M.M., Boer, D., & Cabeza, L.F. (2013). Life Cycle assessment of experimental cubicles including PCM manufactured from natural resources (esters): A theoretical study.
Renewable Energy, 51, 398- 403.
https://doi.org/10.1016/j.renene.2012.10.010
Nematchoua, M.K., Raminosoa, C.R.R., Mamiharijaona, R., René, T., Orosa, J.A., Elvis, W., & Meukam, P. (2015). Study of the economical and optimum thermal insulation thickness for buildings in a wet and hot tropical climate: Case of Cameroon.
Renewable and Sustainable Energy Reviews, 50, 1192-1202.
https://doi.org/10.1016/j.rser.2015.05.066
Rosti, B., Omidvar, A., & Monghasemi, N. (2020). Optimal insulation thickness of common classic and modern exterior walls in different climate zones of Iran.
Journal of Building Engineering, 27, 100954.
https://doi.org/10.1016/j.jobe.2019.100954
Sharif, S..A., & Hammad, A. (2019). Simulation-Based Multi-Objective Optimization of institutional building renovation considering energy consumption, Life-Cycle Cost and Life-Cycle Assessment
. Journal of Building Engineering, 21, 429-445.
https://doi.org/10.1016/j.jobe.2018.11.006
SimaPro. (2020). Evaluate the environmental performance of products and services in general at the material, component, and system levels, and include applications to the building industry. Available at:
https://simapro.com/
Sirisalee, P., Parks, G., Clarkson, T.P.G., & Ashby, M.F. (2003). A new approach to multi-criteria material selection in engineering design.
International Conference on Engineering Design ICED, Stockholm, August 19-21.
https://doi.org/10.1002/adem.200300554
Stazi, F., Vegliò, A., Perna, C.D., & Munafò, P. (2013). Experimental comparison between 3 different traditional wall constructions and dynamic simulations to identify optimal thermal insulation strategies.
Energy and Buildings, 60, 429–441.
https://doi.org/10.1016/j.enbuild.2013.01.032
Zhua, P., Huckemann, V., Fisch, V.N. (2011). The optimum thickness and energy saving potential of external wall insulation in different climate zones of China.
Procedia Engineering, 21, 608-616.
http://doi:10.1016/j.proeng.2011.11.2056