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A methodology for a scalable building performance simulation based on modular components

: Mitterhofer, Matthias
: Winter, Stefan; Sedlbauer, Klaus; Auer, T.; Bednar, T.; Leistner, Philip; Mehra, Schew-Ram

Volltext urn:nbn:de:0011-n-4904932 (11 MByte PDF)
MD5 Fingerprint: c414fc28013aab27bd5f8db5afd172c3
Erstellt am: 18.4.2018


Stuttgart: Fraunhofer Verlag, 2018, V, 176 S.
Zugl.: München, TU, Diss., 2017
Forschungsergebnisse aus der Bauphysik, 31
ISBN: 978-3-8396-1318-4
Dissertation, Elektronische Publikation
Fraunhofer IBP ()
energy technology and engineering; building construction & material; programming & scripting language: general; building performance simulation; functional mock-up interface; semantic web technology; Ontology; Building Information Modeling; Bauphysiker; Architekt; Lichtplaner; TGA-Planer; Elektroingenieur

This 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.