On the feasibility of using open source solvers for the simulation of a turbulent air flow in a dairy barn

Abstract

Two transient open source solvers, OpenFOAM and ParMooN, and the commercial solver Ansys Fluent are assessed with respect to the simulation of the turbulent air flow inside and around a dairy barn. For this purpose, data were obtained in an experimental campaign at a 1:100 scaled wind tunnel model. All solvers used different meshes, discretization schemes, and turbulence models. The experimental data and numerical results agree well for time-averaged stream-wise and vertical-wise velocities. In particular, the air exchange was predicted with high accuracy by both open source solvers with relative differences less than 4% and by the commercial solver with a relative difference of 9% compared to the experimental results. With respect to the turbulent quantities, good agreements at the second (downwind) half of the barn inside and especially outside the barn could be achieved, where all codes accurately predicted the flow separation and, in many cases, the root-mean-square velocities. Deviations between simulations and experimental results regarding turbulent quantities could be observed in the first part of the barn. These deviations can be attributed to the utilization of roughness elements between inlet and barn in the experiment that were not modeled in the numerical simulations. Both open source solvers proved to be promising tools for the accurate prediction of time-dependent phenomena in an agricultural context, e.g., like the transport of particulate matter or pathogen-laden aerosols in and around agricultural buildings. © 2020 The Authors

Description
Keywords
Naturally ventilated barns, OpenFOAM, ParMooN, Transient simulations, Wind tunnel
Citation
Janke, D., Caiazzo, A., Ahmed, N., Alia, N., Knoth, O., Moreau, B., et al. (2020). On the feasibility of using open source solvers for the simulation of a turbulent air flow in a dairy barn. 175. https://doi.org//10.1016/j.compag.2020.105546
License
CC BY 4.0 Unported