BIM 2.0 in Project Development Construction Execution and Supervision
DOI:
https://doi.org/10.47363/JPMA/2026(4)147Keywords:
BIM, BIM 2.0, Construction, Project, SupervisionAbstract
Building Information Modeling (BIM) 2.0 represents a significant evolution in construction project management, integrating additional dimensions such as time (4D), costs (5D), and sustainability (6D). Its adoption has transformed collaboration between stakeholders in the AEC (Architecture, Engineering, and Construction) sector, enabling real-time data-driven decision-making and improving project energy efficiency and sustainability. Recent studies indicate that BIM 2.0 implementation can reduce construction costs by up to 20% and lead times by 15%. Regarding the Methodology, this article is based on a systematic review of Scopus-indexed literature (Q1) and representative case studies between 2019 and 2023. BIM 2.0 applications were analyzed in LEED certified projects and energy efficiency standards, using energy simulation tools and advanced 3D modeling. Performance metrics such as CO₂ emission reduction, resource optimization, and risk management were evaluated. Addressing the Results and Discussion, we can say that the implementation of BIM 2.0 demonstrated a 30% improvement in energy efficiency in net-zero buildings and a 25% reduction in carbon emissions during the construction phase. Interoperability with AI and IoT enabled real-time monitoring of energy consumption and early detection of design conflicts. However, challenges such as the lack of software standardization and the shortage of skilled labor persist, affecting 40% of the analyzed projects. In the Conclusions section, we determined that BIM 2.0 is consolidated as a key tool for sustainable construction, facilitating the integration of emerging technologies and improving project lifecycle management. Investment in professional training and protocol standardization is recommended to maximize its potential. Future research should address the integration of blockchain and digital twins to optimize data security and traceability.