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MODAL AEROSOL DYNAMICS MODELING
Citation:
Whitby, E., P. McMurray, U. Shankar, AND F.S. Binkowski. MODAL AEROSOL DYNAMICS MODELING. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/3-91/020 (NTIS PB91161729), 1991.
Description:
The report described by this Project Summary presents the governing equations for representing aerosol dynamics, based on several different representations of the aerosol size distribution. Analytical and numerical solution techniques for these governing equations are also reviewed. escribed in detail is a computationally efficient numerical technique for simulating aerosol behavior in systems undergoing simultaneous heat transfer, fluid flow, and mass transfer in and between the gas and condensed phases. The technique belongs to a general class of models know as modal aerosol dynamics (MAD) models. hese models solve for the temporal and spatial evolution of the particle size distribution action. omputational efficiency is achieved by representing the complete aerosol population as a sum of additive overlapping populations (modes), and solving for the time rate of change of integral moments of each mode. pplications of MAD models for simulating aerosol dynamics in continuous stirred tank aerosol reactors and flow aerosol reactors are provided. or the application to flow aerosol reactors, the discussion is developed in terms of considerations for merging a MAD model with the SIMPLER routine described by Patankar (1980). onsiderations for incorporating a MAD model into the U.S. Environmental Protection Agency's Regional particulate Model are also described. umerical and analytical techniques for evaluating the size-space integrals of the modal dynamics equations (MDEs) are described. or multimodal lognormal distributions, an analytical expression for the coagulation integrals of the MDEs, applicable for all size regimes, is derived, and is within 20% of accurate numerical evaluation of the same moment coagulation integrals. omputationally efficient integration technique, based on Gauss- Hermite numerical integration, is also derived.
