Master'sOpen Access

The optimal sustainable insulation material using MCDM analysis

Is this your thesis?

This record came from a bulk archive import. If it’s yours, link it to your profile.

2023
0 views
0 downloads

Abstract (EN)

Rising cost of fuel is the new norm, and an increase in energy consumption leads to many troubles, such as a growth in harmful environmental emissions and a growth in energy consumption bills. Hence, its desirable and recommended to estimate the value of energy consumed for buildings in the first design state in order to reduce the impact of these issues, and obtain a sustainable building using the thermal insulation for its walls. The purpose of this experimental analysis is to determine the best insulating material among 12 selected materials, as the properties of these materials were analyzed based on several criteria. The study focuses on using multiple analysis methods in order to achieve the best results, and to eliminate potential inconsistencies of data with available scientific methods. The evaluation is conducted via implementing three multiple criteria decision-making methods (MCDM)the full Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) multiplication, rating the choices and selection the solution nearest to ideal, "VIskriterijumsko KOmpromisno Rangiranje" (VIKOR) and the method of ordering options by analogy with the optimal method (TOPSIS). In addition to the significance of the criteria, find the weights of the criterion in the analysis by using the correlation between criteria (CRITIC). Results based on pre-established methods showed consistent results, with the highest and worst performing materials identified in buildings. Extruded polystyrene foam (XPS) is ranked the best among other materials.

Author

Hadeel I. A. Dweıb

How to Cite

Hadeel I. A. Dweıb (Master Thesis). The optimal sustainable insulation material using MCDM analysis, 2023, Kütahya Dumlupınar University.

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from Kütahya Dumlupınar University