Because the construction sector exerts a considerable environmental effect, especially on building materials, a growing interest in environmental design and construction has emerged. The United Nations has set sustainable development goals (SDGs) for 2030 to protect the environment, including energy conservation and doubling the global rate of improving energy efficiency, because building materials significantly affect energy consumption. Thus, building-material selection at the initial design phase is critical, and random selection of building materials often involves subjectivity, uncertainty, and ambiguity. This process costs time and resources while resulting in the inefficient environmental performance of buildings. Therefore, this study proposes the use of building-information modeling (BIM) as a tool because of its importance in attaining sustainability to aid in the selection process of smart materials (SMs) based on specified criteria and make the selection process faster and more accurate. This method is accomplished through a theoretical study of SMs and using a conceptual framework through four phases for multicriteria decision-making to improve energy efficiency and reduce the energy consumption of buildings. To pursue SDG 7, a theoretical and deductive approach is used.

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