AI-Powered Decision Support for Sustainable Material and Design Selection in Buildings: Reducing Cost and Carbon Impact
| International Journal of Civil Engineering |
| © 2025 by SSRG - IJCE Journal |
| Volume 12 Issue 12 |
| Year of Publication : 2025 |
| Authors : Tara R. AbdulWahab |
10.14445/23488352/IJCE-V12I12P114
How to Cite?
Tara R. AbdulWahab, "AI-Powered Decision Support for Sustainable Material and Design Selection in Buildings: Reducing Cost and Carbon Impact," SSRG International Journal of Civil Engineering, vol. 12, no. 12, pp. 151-157, 2025. Crossref, https://doi.org/10.14445/23488352/IJCE-V12I12P114
Abstract:
Artificial intelligence has become the key to speed, growth, and development. It has created a broad scope for development, so it is necessary to rely on it to achieve the sustainability that countries and people have always sought. Since the construction sector is one of the leading sectors in the field of heat emissions, especially in terms of energy consumption for adaptation, we sought through this research to work on creating an Artificial Intelligence-based decision-making system for selecting sustainable materials and design in order to achieve two goals: cost-efficiency and sustainability. A comparison was made between three types of materials: regular bricks, hollow blocks, and thermostone. Standards were set to achieve both goals together through this system, and thermostone achieved the most sustainability, while hollow blocks were the most economical.
Keywords:
Carbon footprint, Cost, AI, Decision support, Sustainable.
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