Abstract
Natural ventilation not only helps improve indoor air quality and protect the health of occupants but also plays a significant role in energy conservation, emission reduction, and sustainable development. It has been confirmed that many factors are indeed associated with indoor ventilation, but outdoor vegetation factors are often overlooked. Therefore, a rapid workflow was proposed in this paper for optimizing wind-driven indoor ventilation during the architectural and landscape design phase, while considering the impact of outdoor vegetation on indoor ventilation. The entire workflow utilizes Python code to integrate software tools for parametric modeling, meshing, solving, and batch post-processing. Parameters related to both architectural factors and vegetation information are incorporated into the assessment of indoor ventilation impact. During the simulation phase, ANSYS Fluent serves as the computational core for conducting 3D steady-state Reynolds-averaged Navier-Stokes (RANS) simulations using the k-ε turbulence model. The workflow was validated through two approaches: the vegetation model was assessed using field measurements from the Architectural Institute of Japan (AIJ) around pine trees, and the cross-ventilation model was validated using PIV data from Concordia University by comparing simulation results with experimental data for specific opening positions and wall porosities. Three reference cases were conducted to demonstrate the workflow’s application from architectural and landscape design perspectives. The first study focused on the impact of different building lengths, widths, and window positions on indoor ventilation under fixed vegetation and wind directions; the second study explored the effects of various tree canopy positions and wind directions; and the final study investigated method for optimizing ventilation by incorporating shading effects. The ventilation efficiency was evaluated using the ventilation indices volumetric flow rate (Q) and obstruction effect percentage (OEP), which facilitates the selection of more optimal layouts. This approach allows designers to achieve faster and more accurate indoor ventilation optimization from both architectural and landscape design perspectives.
Published Version
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