SIMULATING NATURALLY VENTILATED BUILDINGS WITH DETAILED CFD- BASED WIND PRESSURE DATABASE
Bing Wang, Timur Dogan, Debashree Pal, Christoph Reinhart
Natural ventilation has long been recognized as a sustainable design strategy to replace or reduce energy associated with fans or active cooling systems in buildings. When it comes to designing a passive system based concept that involves natural ventilation, a major difficulty for design teams is to reliably predict indoor ventilation rates especially in buildings located in a dense urban context. This manuscript proposes a new concept to model ventilation rates and hourly annual indoor temperature distributions using a combination of outside CFD (Computational Fluid Dynamics) calculations and indoor airflow network calculations. In the first step, CFD calculations for eight cardinal wind directions are used to populate a custom database of pressure coefficients for each window in an urban scene. In the second step, hourly wind data and pressure coefficients method have been implemented in Rhinoceros 1 in combination with Phoenics 2 and EnergyPlus3. Example results are presented for several typical cases, indicating the improvement of this workflow on simulation results, especially for building with particular shape and urban context.
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