Integrating Parametric Workflow with CFD Simulation: Development and Validation of Indoor–Outdoor Ventilation Evaluation Processes

In the era of Artificial Intelligence Generated Content (AIGC), architectural design workflows are increasingly moving toward automation and intelligence. Although Computational Fluid Dynamics (CFD) has been widely recognized as a reliable tool for airflow simulation, its practical application is often constrained by the absence of standardized workflows, limited repeatability, and long computation times. To overcome these challenges, this study integrates CFD with a parametric workflow to establish two case-based processes: one for outdoor street-block wind field analysis and the other for indoor opening and wind-deflector configuration analysis. By incorporating seasonal climate data into boundary conditions and employing parametric modeling to generate multiple design scenarios, the proposed framework enables systematic evaluation of ventilation performance across scales. Results demonstrate that seasonal wind direction differences significantly influence outdoor airflow, with northern winds providing superior uniformity and courtyard integration further enhancing central circulation. At the indoor level, deflectors effectively improved airflow in weak zones, with RF2-W1d showing a 680% increase in inflow under northern winds compared with hot-month conditions. These findings validate the accuracy and applicability of CFD workflows and highlight the advantages of combining them with parametric design tools to achieve both precision and efficiency. In conclusion, this study establishes a validated CFD-based evaluation framework that supports sustainable, health-oriented, and design-driven residential ventilation strategies.