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Traditional energy analysis in Building Information Modeling (BIM) only accounts for the energy requirements of building operations during a portion of the occupancy phase of the building’s life cycle and as such is unable to quantify the true impact of buildings on the environment. Specifically, the typical energy analysis in BIM does not account for the energy associated with resource formation, recycling, and demolition. Therefore, a comprehensive method is required to analyze the true environmental impact of buildings. Emergy analysis can offer a holistic approach to account for the environmental cost of activities involved in building construction and operation in all its life cycle phases from resource formation to demolition. As such, the integration of emergy analysis with BIM can result in the development of a holistic sustainability performance tool. Therefore, this study aimed at developing a comprehensive framework for the integration of emergy analysis with existing Building Information Modeling tools. The proposed framework was validated using a case study involving a test building element of 8’ × 8’ composite wall. The case study demonstrated the successful integration of emergy analysis with Revit®2021 using the inbuilt features of Revit and external tools such as MS Excel. The framework developed in this study will help in accurately determining the environmental cost of the buildings, which will help in selecting environment-friendly building materials and systems. In addition, the integration of emergy into BIM will allow a comparison of various built environment alternatives enabling designers to make sustainable decisions during the design phase.

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Building Information Modeling (BIM) has gained a lot of traction in Nepal lately due to many AEC firms’ desire to improve their productivity. This research explores the current state and potential of Building Information Modeling in the Nepalese context. The main objective of this research was to gain a holistic view of the digital design and construction approach in the AEC sectors and identify the current state of practice, future trends and opportunities, and challenges for the wider adoption of BIM in the AEC sector. A systematic survey was conducted among various AEC stakeholders; based on their responses, the status of BIM maturity is presented in this paper. We found that the lack of standards and guidelines slows stakeholders’ efforts to unify BIM implementation in projects. However, the survey results show that AEC stakeholders are eager to learn, explore, and implement BIM in their workflows of design and construction practices. The wider implementation of BIM can improve the productivity of design and construction in developing countries such as Nepal. The contributions of this research are methodological and practical. It is demonstrated in this study that qualitative and quantitative data can be integrated in different ways to allow for different avenues of analysis. The logistic regression model deployed in this study identifies the determinants of BIM use and the intensity of their effects on the future use of BIM in the Nepalese AEC industry. The findings of this study can help to formulate BIM standards and training materials that are specific to the Nepalese AEC industry.