The need for sustainable practices in the construction sector has never been more pressing, as the sector seeks to mitigate its carbon footprint, water consumption, and waste generation. The integration of building information modeling (BIM) and life-cycle assessment (LCA) emerges as a promising solution for rapidly and accurately evaluating the environmental impact of construction. This integration has the potential to empower stakeholders to make informed decisions, paving the way for a more environmentally conscious future in the construction sector. However, there are still challenges to overcome before this is a standard procedure. Data interoperability and standardized classifications necessitate ongoing research. To understand the potential of BIM–LCA integration in minimizing carbon emissions in constructions, this study focuses on a hypothetical renovation project, unraveling the mechanics of BIM–LCA integration and exploring its challenges and opportunities. While the existing literature acknowledges the potential benefits of BIM–LCA integration, few research efforts delve into the specific issues that practitioners may face. Our approach seeks to fill this gap by presenting a holistic view of the integration process, highlighting the practical steps and addressing the intricacies involved. The results show that the most relevant information when performing a BIM–LCA integration using Revit^® (v 2022) and OneClick LCA (OCL) is the name-property given to the materials within Revit^®. Despite the advances made by this semi-automated approach, interoperability and data accessibility challenges remain. The results show that automated material identification relies on Revit^® classifications and necessitates careful modeling practices to prevent impact-calculation redundancy.

Building information modeling (BIM) has revolutionized integrated planning by optimizing costs, schedule, and material use. However, building energy modeling (BEM) remains underutilized in early design stages due to interoperability challenges between BIM and BEM tools. This study addresses these challenges by exploring standardized exchange requirements and introducing a novel toolchain that bridges BIM and BEM workflows. In the BIM2IndiLight project, over 400 standardized properties for daylighting, artificial lighting, and façade systems were validated, revealing the advantages and limitations of parameter standardization. Building on these insights, the BIM2BEM-Flow project developed a three-step toolchain that efficiently manages project- and company-specific properties, defines mapping rules, and integrates parameters via a BIM plugin for validated IFC export. The results demonstrate that combining standardized properties with a flexible, workflow-driven toolchain significantly enhances data exchange and interoperability between BIM and BEM. This integrated approach supports early-stage energy performance optimization and offers a promising pathway toward more efficient design processes in the AECO industry.

Digital twins have attracted a lot of attention recently. However, the current manifestations are merely digital shadows, lacking means for bidirectional data exchange, which makes their use for assisting the construction of buildings much more difficult. We argue that this is due to the lack of a systematic process for developing a digital twin during a building’s life cycle. We argue to look for a solution by combining agile engineering with IT change management to establish an agile, change-driven process for engineering digital twins. Such a process, of course, deserves a qualitative assessment of the engineering process and the resulting digital twin. In the future, it should be possible to obtain a digital twin from a BIM-based design process by applying IT change management in an agile manner. This should happen under maximum automation and life cycle orientation. Our proposal is motivated by several years of interdisciplinary collaboration between civil engineering and computer science and evaluated using the Technology Acceptance Model. While the TAM is not specifically designed for digital twin methodologies, its application here aims to assess perceived usefulness and ease of use of DT methodologies from the user’s perspective, without addressing scalability concerns. This aims to provide actionable insights to guide the refinement of the process model, aligning it with user requirements and achieving its intended outcomes. Our evaluation confirms the proposed process’s perceived usefulness and ease of use, with robust correlations indicating strong acceptance potential among stakeholders. These results highlight the feasibility of the proposed approach and its alignment with expectations in real-world applications.