A Methodology for a Scalable Building Performance Simulation based on Modular Components.

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.

Détails du produit

• Auteurs: Matthias Mitterhofer
• Collaboration: Stuttgart Fraunhofer IBP (Editeur), Philip Leistner (Editeur), Schew-Ram Mehra (Editeur), Klaus Peter Sedlbauer (Editeur)
• Edition: Fraunhofer Verlag
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 01.01.2018
• EAN: 9783839613184
• ISBN: 978-3-8396-1318-4
• Pages: 190
• Illustrations: num., mostly col. illus. and tab.
• Thème: Forschungsergebnisse aus der Bauphysik
• Catégorie: Sciences naturelles, médecine, informatique, technique > Technique > Technique de la construction et de l'environnement