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On the feasibility of using open source solvers for the simulation of a turbulent air flow in a dairy barn
Computers and Electronics in Agriculture ( IF 7.7 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.compag.2020.105546
David Janke , Alfonso Caiazzo , Naveed Ahmed , Najib Alia , Oswald Knoth , Baptiste Moreau , Ulrich Wilbrandt , Dilya Willink , Thomas Amon , Volker John

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.

中文翻译:

使用开源求解器模拟奶牛场湍流气流的可行性

摘要 评估了两个瞬态开源求解器 OpenFOAM 和 ParMooN 以及商业求解器 Ansys Fluent,用于模拟奶牛场内部和周围的湍流气流。为此,在 1:100 比例风洞模型的实验活动中获得了数据。所有求解器都使用不同的网格、离散化方案和湍流模型。实验数据和数值结果对于时间平均的流向和垂直向速度非常吻合。特别是,与实验结果相比,相对差异小于 4% 的开源求解器和相对差异为 9% 的商业求解器都以高精度预测了空气交换。对于湍流量,在谷仓内部,尤其是谷仓外部的第二个(顺风)半部可以实现良好的一致性,所有代码都准确地预测了流动分离,在许多情况下,还可以准确预测均方根速度。在谷仓的第一部分可以观察到关于湍流量的模拟和实验结果之间的偏差。这些偏差可归因于在实验中使用了在数值模拟中未建模的入口和谷仓之间的粗糙度元素。两种开源求解器都被证明是准确预测农业环境中随时间变化的现象的有前途的工具,例如,在农业建筑物内和周围的颗粒物质或载有病原体的气溶胶的运输。其中所有代码都准确预测了流动分离,在许多情况下,还准确预测了均方根速度。在谷仓的第一部分可以观察到关于湍流量的模拟和实验结果之间的偏差。这些偏差可归因于在实验中使用了在数值模拟中未建模的入口和谷仓之间的粗糙度元素。两种开源求解器都被证明是准确预测农业环境中随时间变化的现象的有前途的工具,例如,在农业建筑物内和周围的颗粒物质或载有病原体的气溶胶的运输。其中所有代码都准确预测了流动分离,在许多情况下,还准确预测了均方根速度。在谷仓的第一部分可以观察到关于湍流量的模拟和实验结果之间的偏差。这些偏差可归因于在实验中使用了在数值模拟中未建模的入口和谷仓之间的粗糙度元素。两种开源求解器都被证明是准确预测农业环境中随时间变化的现象的有前途的工具,例如,在农业建筑物内和周围的颗粒物质或载有病原体的气溶胶的运输。在谷仓的第一部分可以观察到关于湍流量的模拟和实验结果之间的偏差。这些偏差可归因于在实验中使用了在数值模拟中未建模的入口和谷仓之间的粗糙度元素。两种开源求解器都被证明是准确预测农业环境中随时间变化的现象的有前途的工具,例如,在农业建筑物内和周围的颗粒物质或载有病原体的气溶胶的运输。在谷仓的第一部分可以观察到关于湍流量的模拟和实验结果之间的偏差。这些偏差可归因于在实验中使用了在数值模拟中未建模的入口和谷仓之间的粗糙度元素。两种开源求解器都被证明是准确预测农业环境中随时间变化的现象的有前途的工具,例如,在农业建筑物内和周围的颗粒物质或载有病原体的气溶胶的运输。
更新日期:2020-08-01
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