ORIGINAL RESEARCH article
Front. Built Environ.
Sec. Building Information Modelling (BIM)
Volume 11 - 2025 | doi: 10.3389/fbuil.2025.1634162
This article is part of the Research TopicOptimization in Building Information Modeling (BIM)View all articles
Smart Building Assessments: Optimizing SRI Calculation Using a BIM-Based Data Exchange Framework
Provisionally accepted- 1University of Stuttgart, Stuttgart, Germany
- 2aedifion GmbH, Cologne, Germany
- 3Ed. Züblin AG, Stuttgart, Germany
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Insufficient data availability, limited calculation tools and subjective decisions by experts lead to ambiguous results when determining the Smart Readiness Indicator of a building. Moreover, it is not an integral part of the planning process. Therefore, this study presents a consistent and process-oriented planning and calculation approach. The methodology consists of the combination and exchange of information between building information modeling, labeling system, and data exchange format. It provides a consistent, seamless flow of information throughout integrated planning. This enables an automatic calculation of the planned Smart Readiness Indicator based on a floor-related functionality assessment, as proved using a mock-up. In addition, it provides a clear categorization of the necessary information for the planned components, which can be used for the verification process. Overall, this leads to a significant reduction in the time and effort required for smart building assessments while also increasing their consistency of evaluation.
Keywords: Building information modeling (BIM), Smart Readiness Indicator (SRI), Integrated planning, Digital Twin, Building Automationand Control Systems (BACS)
Received: 23 May 2025; Accepted: 25 Sep 2025.
Copyright: © 2025 Calandri, Tafelmaier, Rathje, Müller, Henzler, Stergiaropoulos, Kramp and Glatz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Maurizio Calandri, maurizio.calandri@igte.uni-stuttgart.de
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