Digital Integration for Sustainable Construction: Automating Material Credit Verification in Green Certification Systems

The Architecture, Engineering, and Construction (AEC) sector is a major contributor to global energy consumption and carbon dioxide emissions, highlighting the urgent need for sustainable practices. This research investigates the integration of Building Information Modeling (BIM) with sustainability assessment frameworks, specifically focusing on the “Materials” category in green building certification systems such as LEED and BREEAM. By conducting a systematic literature review using the PRISMA methodology, this study identifies 11 key articles addressing frameworks, tools, and methodologies for automating the verification of material-related credits. The analysis categorizes these frameworks into three sustainability categories: Lower Environmental Impact Materials (Sc1), Responsible Sourcing and Renewable Materials (Sc2), and Sustainable Waste Management (Sc3). Findings reveal that while BIM enhances sustainability assessments through improved data management and automation, challenges such as interoperability issues, limited material databases, and reliance on specific software persist. This study underscores the critical role of automation and digital tools, including visual programming languages and APIs, in streamlining credit verification processes and promoting sustainability objectives. Future research should focus on expanding material databases, addressing interoperability barriers, and leveraging emerging technologies such as Artificial Intelligence and Digital Twins to foster a more sustainable and technologically advanced construction industry. These advancements align with the global goals of digital and green transitions, contributing to a more sustainable built environment.