10th International Aerosol Conference September 2 - September 7, 2018 America's Center Convention Complex St. Louis, Missouri, USA
Abstract View
Modeling Particle Emission Formation in Wildland Fires
ALEXANDER JOSEPHSON, Troy Holland, Rod Linn, Los Alamos National Laboratory
Abstract Number: 179 Working Group: Combustion
Abstract Presented is a surrogate model for predicting particle emission formation in wildland fires implemented in FIRETEC, a physics based CFD software designed for simulating the coupled behaviour of fire and the local atmospheric. This surrogate model was created using a physics-based detailed model previously published. The detailed model was used in fine-grid LES simulations to predict the formation of soot precursors and soot particles under a variety of circumstances. Results from these simulations were used to map input parameters to output data creating an array of correlations. It is these correlations that are the surrogate model.
The surrogate model can be used to predict a representative particle size distribution formed and released from the flame-zone of a wildfire along with total mass yields of 'black carbon'. It also predicts a mass yield of 'brown carbon' also released from the flame-zone. It is this 'brown carbon' that acts as soot precursors while in the flame; however, once released from the flame these species form a different kine of emission, thus the prediction of both 'black' and 'brown' carbon becomes invaluable to total wildfire emissions.
Presented is a synopsis of the detailed particle formation model along with some of the results of the fine-grid LES simulations. Also presented are details of the surrogate model, along with some preliminary results of its use in FIRETEC, as well as future usage and adaptation of this model.