Exporting 1.7m Pedestrian Velocity Data from Incompressible to GIS

I am conducting an urban microclimate study on the SAAO site in Cape Town using the Incompressible (OpenFOAM) solver.

Since the automated “Pedestrian Wind Comfort” (LBM) suite is not available for this analysis type, I am seeking the most robust way to harvest velocity data at the 1.7m breathing zone for external GIS analysis.

Current Plan:

  • Result Control: Point Data at specific coordinates.

  • Post-processing: Z-Slice at 1.7m to manually compare Mean Velocity (U) against Lawson/Davenport criteria.

Questions for the Team:

  1. Data Export: Is there a way to export the Slice data directly as a structured CSV or table from the workbench? I need to avoid downloading the huge VTK result if possible, as I only need the 2D plane data for QGIS/Raster interpolation.

  2. Gust Factors (G): Since this is a steady-state run and not transient LBM, are there recommended Result Control settings (e.g., using Turbulent Kinetic Energy (k)) to estimate gust peaks (Upeak​) for a more conservative comfort assessment?

  3. Surface Data vs. Map Plane: To achieve a “Raster-like” output, is it better to use a Surface Data object on a Geometry Primitive plane, or stick to post-simulation slicing?

Project Link: [saao]