Under CopyrightWinter, StefanSedlbauer, KlausAuer, T.Bednar, T.Leistner, PhilipMehra, Schew-RamMitterhofer, MatthiasMatthiasMitterhofer2022-03-0718.4.20182018https://publica.fraunhofer.de/handle/publica/28206710.24406/publica-fhg-282067This thesis presents a methodology incorporating the concept of modularity to realize a scalable building performance simulation. It builds upon the Functional Mock-up Interface for tool-independent co-simulation of Functional Mock-up Units (FMUs). Semantic Web Technologies are deployed to describe FMUs with machine-readable, semantic information. In addition to a generalized description pattern, the association to project-specific data via Building Information Modeling ensures the required context for semantic interpretation of FMUs. The resulting ontology is the basis for a reasoning process aimed at detecting connections between the simulation modules. By combining ontology, per definition a knowledge representation, with queries inferring new triples when executed, the approach is a knowledge-based approach. The methodology allows for automated derivation of a simulation network across several Levels of Detail. As such, a single-zone, a multi-zone and a zonal airflow representation of a building are integrated. With the former models being able to compute performance regarding energy usage, the latter provides a detailed assessment of the resulting indoor climate.enenergy technology and engineeringbuilding construction & materialprogramming & scripting language: generalbuilding performance simulationfunctional mock-up interfacesemantic web technologyOntologyBuilding Information ModelingBauphysikerArchitektLichtplanerTGA-PlanerElektroingenieur690doctoral thesis