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M. Taheri, A. Mahdavi:
"An efficient approach to the parametric assessment of airflow conditions in architectural spaces based on a limited set of CFD-based simulation runs.";
Talk: Central Europe towards Sustainable Building 2016 - Innovations for sustainable Future, Prague, Czech Republic; 2016-06-22 - 2016-06-24; in: "(Printed) Proceedings of CESB 2016: Central Europe towards sustainable building 2016 - innovations for sustrainable future", P. Hàjek, J. Tywoniak, A. Lupisek (ed.); Prague, Czech Republic (2016), ISBN: 9788027102488; Paper ID p.1497-1504, 8 pages.

Numerical simulation of the airflow field in architectural spaces using CFD applications (Computional Fluid Dynamics) can provide effective support regarding the assessment of indoor conditions in both projected and existing buildings. However, CFD-based simulations are computationally expensive. In this context, the present contribution pursues the following question: Can we obtain basic airflow field information for a large variety of design configurations based on a small number of full-fledge CFD simulation runs? If possible, this approach would allow for an efficient deployment of advanced numerical simulation pertaining to the evaluation of airflow patterns in indoor environments. To explore this, we considered a number of variations of the design variables (i.e. airflow rates and diffuser configurations) of a basic room model. We then applied simple combinatorial manipulation options of a limited set of respective CFD simulation results to estimate the air flow speed data for the aforementioned larger set of design options. The results suggest that relatively simple approaches toward treating a limited set of CFD-bases simulations could provide fast and fairly reliable insights into further design options not assessed via full CFD analysis.

(keine deutsche Version) Numerical simulation of the airflow field in architectural spaces using CFD applications (Computional Fluid Dynamics) can provide effective support regarding the assessment of indoor conditions in both projected and existing buildings. However, CFD-based simulations are computationally expensive. In this context, the present contribution pursues the following question: Can we obtain basic airflow field information for a large variety of design configurations based on a small number of full-fledge CFD simulation runs? If possible, this approach would allow for an efficient deployment of advanced numerical simulation pertaining to the evaluation of airflow patterns in indoor environments. To explore this, we considered a number of variations of the design variables (i.e. airflow rates and diffuser configurations) of a basic room model. We then applied simple combinatorial manipulation options of a limited set of respective CFD simulation results to estimate the air flow speed data for the aforementioned larger set of design options. The results suggest that relatively simple approaches toward treating a limited set of CFD-bases simulations could provide fast and fairly reliable insights into further design options not assessed via full CFD analysis.

Computational Fluid Dynamics, Airflow Field Prediciton, numerical simulations