Characteristics-based sectional modeling of aerosol nucleation, condensation and transport

E.M.A. Frederix, Arkadiusz K. Kuczaj, M. Nordlund, M. Staniç, Bernardus J. Geurts

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    Aerosols can be generated by physical processes such as nucleation, conden- sation and coalescence. To predict spatially varying statistical properties of such aerosols, e.g., the size distribution of the droplets, these processes must be captured accurately. We model nucleation using classical nucleation theory, whereas the con- densational growth is captured with a molecular diffusivity model. The droplet size distribution is discretized using a sectional approach, in which droplets are charac- terized in terms of a number of fixed droplet size bins. Often, in such a formula- tion, the numerical time step restrictions arising from condensation and nucleation are more pronounced than those of the corresponding fluid flow, thereby signifi- cantly limiting the global time step size. We propose a moment-conserving method in which this limitation is avoided, by utilizing the analytical solutions of the spa- tially homogeneous nucleation-condensation subproblem. The method is validated against experimental and numerical data of a laminar flow diffusion chamber, and shows an excellent agreement while being restricted only by a flow-related time step criterion.
    Original languageUndefined
    Title of host publicationProceedings of the 67th Annual Meeting of the APS Division of Fluid Dynamics
    Place of PublicationMaryland
    PublisherAmerican Physical Society
    Number of pages1
    Publication statusPublished - Nov 2014
    Event67th Annual Meeting of the APS Division of Fluid Dynamics, APS-DFD 2014 - San Francisco, United States
    Duration: 23 Nov 201425 Nov 2014
    Conference number: 67

    Publication series

    PublisherThe American Physical Society
    ISSN (Print)0003-0503


    Conference67th Annual Meeting of the APS Division of Fluid Dynamics, APS-DFD 2014
    Abbreviated titleAPS-DFD
    Country/TerritoryUnited States
    CitySan Francisco


    • MACS-MMS: Multiscale Modelling and Simulation
    • METIS-309821
    • IR-93878
    • EWI-25581

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