Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver
Agriculture 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 a...
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2021
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oai:doaj.org-article:f9789345b5184ee5bb5dce2bd044f9f22021-11-25T16:08:30ZParticulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver10.3390/agronomy111122462073-4395https://doaj.org/article/f9789345b5184ee5bb5dce2bd044f9f22021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2246https://doaj.org/toc/2073-4395Agriculture 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 R<sub>11</sub>. 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.David JankeSenthilathiban SwaminathanSabrina HempelRobert KasperThomas AmonMDPI AGarticlelarge-eddy simulationparticle-laden flowdispersed multiphase flowOpenFOAMmanure applicationAgricultureSENAgronomy, Vol 11, Iss 2246, p 2246 (2021) |
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large-eddy simulation particle-laden flow dispersed multiphase flow OpenFOAM manure application Agriculture S |
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large-eddy simulation particle-laden flow dispersed multiphase flow OpenFOAM manure application Agriculture S David Janke Senthilathiban Swaminathan Sabrina Hempel Robert Kasper Thomas Amon Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver |
description |
Agriculture 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 R<sub>11</sub>. 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. |
format |
article |
author |
David Janke Senthilathiban Swaminathan Sabrina Hempel Robert Kasper Thomas Amon |
author_facet |
David Janke Senthilathiban Swaminathan Sabrina Hempel Robert Kasper Thomas Amon |
author_sort |
David Janke |
title |
Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver |
title_short |
Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver |
title_full |
Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver |
title_fullStr |
Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver |
title_full_unstemmed |
Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver |
title_sort |
particulate matter dispersion modeling in agricultural applications: investigation of a transient open source solver |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/f9789345b5184ee5bb5dce2bd044f9f2 |
work_keys_str_mv |
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