Probability Density Function (pdf) Simulation of Turbulent Reactive Gas- Solid Flow in a Riser

A Lagrangian-Eulerian methodology is developed for the numerical simulation of a gas-solid reactive flow. The SO2-NOx Adsorption Process (SNAP) is taken as a test case. A three-dimensional time dependent simulation is performed. A notional particle based Monte-Carlo algorithm is used to solve the transported composition Probability Density Function (PDF) equations to determine the gas phase composition fields. A Finite Volume (FV) technique is used to calculate the hydrodynamic fields from the Reynolds Averaged Navier Stokes (RANS) equations combined with the k-ε model for the gas phase turbulence and the Kinetic Theory of Granular Flow (KTGF) for the solid phase flow. This newly developed hybrid solution technique is presented using the SNAP chemistry with a total of 13 scalars (i.e. reactive species) for which the composition fields are calculated. A good agreement between the simulated and the experimental gas-outlet composition is observed.