CBIM - European Training Network
Environmental Engineering, Istanbul Technical University
Energy Technology and Science Program, Istanbul Technical University
PhD Degree (Ongoing)
Civil Engineering, Technion – Israel Institute of Technology
Host institution: Technion – Israel Institute of Technology
Project Title: Holistic building performance model with semantic web technologies
Abstract: Building Information Modelling (BIM) provides a technological solution to facilitate collaboration among architecture, engineering, and design professions. It is used mainly as an object-oriented model enriching objects’ data and information, visualized 3D, and analysed building analytical models. The Industry Foundation Class (IFC) data schema has been developed for interoperability between diverse software applications by exchanging building information through the building life cycle. However, the building performance domain (BPD) (energy, thermal comfort, lighting, acoustics, indoor air quality, circulation, and safety) has multiple native performance models and data schemas from a wide variety of simulation tools that create the building analytical models and analyse them. Therefore, the BPD currently comprises heterogeneous and decentralized information and analytical models. This research seeks to develop an ontological framework for a holistic building performance model with object relations and semantic web technologies, which (i) supports the whole building performance analysis domain, (ii) optimizes the building performance analytical systems, (iii) automatically prepares analytical models, (iv) identifies and sets semantic links between native building model objects from different building performance simulation tools. As a result, the proposed framework offers an interoperable solution that can ultimately connect all performance domains and is independent of file-based data exchange formats.
Enrolment in Doctoral degree: Technion – Israel Institute of Technology, PhD Civil Eng.
Advisor: Rafael Sacks
This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 860555.
For more information see CBIM on CORDIS