Assistant Prof. Dr. Iva Kovacic, DI Lars Oberwinter, Univ. Prof. DI Christoph Achammer, Vienna University of Technology, Industrial Building and Interdisciplinary Planning Assistant Prof. Mag.rer.soc.oec. Michael Filzmoser, Vienna University of Technology, Institute for Management Sciences,
It is argued that Building Information Modelling technology bears significant potentials for enhancement of more integrated design and planning process, and further more for life cylce managament of built environmet. Through creation of a joint model, serving as common knowledge base for parttaking disciplines, the knowledge from the design pahse can easily be transferred into the operational phase. BIM offers a powerfull tool for monitoring, optimization and simulation of building operation, building as such a platform for data transfer and management necessary for the management and governance of the smart city. This paper will presens the results of the empirical research – a multidisciplinary student experiment carried out at the Vienna University of Technology, with the students of architecture, civil engineering and master of building science. In the course of the empirical research a multidisciplinary design for energy efficient building structure is simulated, using various BIM tools (for architectural and structural modelling and simulation, thermal and light simulation) and testing the interoperability as well as the process integration. The special focus lies on the test of interfaces, as crucial factor for process integration, satisfaction and efficiency, which was demonstrated in the pilot experiment. Two BIM models "one-platform-BIM” using proprietary interfaces and "open-BIM” using IFC interface will be evaluated and compared in terms of efficiency of data-exchange and transferability, as well as in terms of satisfaction with process and collaboration. Finally, the results obtained from the experiment will be compared to the experiences gained from the practical case study – BIM use in two planning firms – in order to identify optimization potentials for the planning practice as well as key performance indicators for integrated design supported by BIM tools.