Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver

dc.bibliographicCitation.firstPage2246
dc.bibliographicCitation.issue11
dc.bibliographicCitation.journalTitleAgronomyeng
dc.bibliographicCitation.volume11
dc.contributor.authorJanke, David
dc.contributor.authorSwaminathan, Senthilathiban
dc.contributor.authorHempel, Sabrina
dc.contributor.authorKasper, Robert
dc.contributor.authorAmon, Thomas
dc.date.accessioned2023-04-03T04:38:34Z
dc.date.available2023-04-03T04:38:34Z
dc.date.issued2021
dc.description.abstractAgriculture is a major emitter of particulate matter (PM), which causes health problems and can act as a carrier of the pathogen material that spreads diseases. The aim of this study was to investigate an open-source solver that simulates the transport and dispersion of PM for typical agricultural applications. We investigated a coupled Eulerian–Lagrangian solver within the open source software package OpenFOAM. The continuous phase was solved using transient large eddy simulations, where four different subgrid-scale turbulence models and an inflow turbulence generator were tested. The discrete phase was simulated using two different Lagrangian solvers. For the validation case of a turbulent flow of a street canyon, the flowfield could be recaptured very well, with errors of around 5% for the non-equilibrium turbulence models (WALE and dynamicKeq) in the main regions. The inflow turbulence generator could create a stable and accurate boundary layer for the mean vertical velocity and vertical profile of the turbulent Reynolds stresses R11. The validation of the Lagrangian solver showed mixed results, with partly good agreements (simulation results within the measurement uncertainty), and partly high deviations of up to 80% for the concentration of particles. The higher deviations were attributed to an insufficient turbulence regime of the used validation case, which was an experimental chamber. For the simulation case of PM dispersion from manure application on a field, the solver could capture the influence of features such as size and density on the dispersion. The investigated solver is especially useful for further investigations into time-dependent processes in the near-source area of PM sources.eng
dc.description.fondsLeibniz_Fonds
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11846
dc.identifier.urihttp://dx.doi.org/10.34657/10879
dc.language.isoeng
dc.publisherBasel : MDPI
dc.relation.doihttps://doi.org/10.3390/agronomy11112246
dc.relation.essn2073-4395
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subject.ddc630
dc.subject.ddc640
dc.subject.ddc570
dc.subject.otherDispersed multiphase floweng
dc.subject.otherLarge-eddy simulationeng
dc.subject.otherManure applicationeng
dc.subject.otherOpenFOAMeng
dc.subject.otherParticle-laden floweng
dc.titleParticulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solvereng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccess
wgl.contributorATB
wgl.subjectBiowissenschaften/Biologieger
wgl.typeZeitschriftenartikelger
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