We applied data-based recurrence CFD (rCFD) to model pollutant dispersion in near-field flow configurations. In case of complex topologies, the global-domain version of rCFD fails to account for local recurrent flow features. We therefore developed a novel island-based version of rCFD, which partitions the computational domain to isolate islands of high recurrence prominence, and subsequently defines a distinct recurrence path for each of these islands. We applied island-based rCFD to pollutant dispersion for two side-by-side cubical buildings with three different gap widths in between them and a real urban environment. We showed that numerical predictions of pollutant dispersion by island-based rCFD were in excellent agreement with full CFD simulations, thus outperforming the global-domain version of rCFD. In both applications, island-based rCFD simulations ran three orders of magnitude faster than corresponding full CFD simulations. In the second application, this speed-up enabled real-time simulations on a computational grid of 10 million cells.
|Number of pages||15|
|Journal||Environmental Modelling and Software|
|Publication status||Published - Nov 2021|
Bibliographical noteFunding Information:
The authors acknowledge the financial contribution of the Linz Institute of Technology (LIT-2017-3-SEE-008 and LIT-2016-1-YOU-007).
- Island-based rCFD
- Pollutant dispersion
- Real-time CFD
- Recurrence CFD (rCFD)