Το work with title Simulation speedup techniques for computationally demanding tasks by M. Pichler, Rovas Dimitrios, Kontes Georgios, H. Schranzhofer is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
G.I. Giannakis, M. Pichler, G.D. Kontes, H. Schranzhofer, D.V. Rovas.(2013).Simulation speedup techniques for computationally demanding tasks.Presented at 13th Conference of International Building Performance Simulation Association.[online].Available:http://www.researchgate.net/profile/Georgios_Kontes/publication/258705311_Simulation_speedup_techniques_for_computationally_demanding_tasks/links/00b49528dd23ceda82000000.pdf
The computational cost for the repeated evaluation of zonal-type building simulation models can be pro- hibitive especially in contexts, such as Building Opti- mization and Control Design, where repeated evalua- tion of the models — for different initial and bound- ary conditions — is required. In the present paper, two techniques to reduce simulation time are investi- gated: (i) geometry simplification for periodic geome- tries; and, (ii) the use of co-simulation to split a build- ing into simpler sub-buildings, that can be evaluated in parallel, exploiting the resources of multi-core compu- tational architectures. These simulation speed-up ap- proaches are evaluated, with respect to accuracy and computational effort, against the validated full-scale models of two real buildings.