Keywords: CFD, computational fluid dynamics, integral models, model evaluation, building packing density, idealised urban areas, MUST, simulation, air quality, air pollution, pollutant dispersion, dispersion modelling
MUST experiment simulations using CFD and integral models
This paper looks at the application of Computational Fluid Dynamics (CFD) and integral approaches to the study of effects of obstacles on pollutant dispersion from a point source placed within an idealised urban area (MUST). This study is part of a modelling exercise within the COST Action 732. Numerical results are compared with wind tunnel data. We use the CFD code FLUENT and the dispersion model ADMS-Urban. The CFD model predicts concentrations more accurately than the integral model. However, both models results satisfy accepted statistical criteria, showing that those criteria should not be the only way of evaluating a model.