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首页> 外文期刊>Acta Horticulturae >CFD prediction of the natural ventilation in a tunnel-type greenhouse: influence of wind direction and sensibility to turbulence models.
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CFD prediction of the natural ventilation in a tunnel-type greenhouse: influence of wind direction and sensibility to turbulence models.

机译:隧道式温室自然通风的CFD预测:风向和湍流模型敏感性的影响。

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摘要

A contribution to the development of a new model for the characterization of the climatic conditions in a tunnel-type greenhouse is presented, which takes into account the crop (tomato) like an active 3D region where both the momentum transfer (porous media) and the heat and humidity transfers between the crop and the inside air flow are considered. The effects of the wind direction on the climatic parameters inside the greenhouse are simulated together with the use of different turbulence models available in the computational fluid dynamics (CFD) code. The model consists in the determination for each node of the crop grid of the energy balance between the transpiration flux and the radiation flux. The heat and humidity transfer coefficients are deduced from the leaf laminar boundary layer characteristics which are calculated with the local velocity of air in the crop. This model is included in the FluentReg. CFD package in the form of a User Defined File (UDF) added to the main processing unit. The 3D geometry includes a tunnel-type greenhouse with five vents on each side and a five rows mature tomato crop and its external direct environment. The wind boundary conditions for the velocity distribution are deduced from experimental data and the direction of the wind, relative to the longitudinal axis of the greenhouse, can vary from 0 to 90 degrees. Three turbulence model are tested: the standard kappa - epsilon model, the renormalization group (RNG) model and the realizable kappa - epsilon model. The results of the simulations performed for 0, 45 and 90 degrees show clearly the influence of the wind direction on the velocity, temperature and humidity distributions inside the greenhouse. The computations of the velocity field using the different turbulence models also show noticeable difference in the velocity, temperature and humidity patterns inside the greenhouse and confirm the importance of the choice of the closure model for the modelling of turbulence..
机译:提出了对描述隧道式温室气候条件的新模型的开发的贡献,该模型考虑了作物(西红柿),就像一个活跃的3D区域,其中动量传递(多孔介质)和运动考虑作物与内部空气之间的热量和湿度传递。使用计算流体力学(CFD)代码中可用的不同湍流模型,模拟了风向对温室内部气候参数的影响。该模型在于确定作物网格的每个节点的蒸腾通量和辐射通量之间的能量平衡。从叶片层流边界层特性推导出热量和湿度传递系数,这些特性是根据作物中空气的局部速度来计算的。该模型包含在FluentReg中。以用户定义文件(UDF)形式的CFD软件包添加到主处理单元。 3D几何形状包括一个隧道式温室,其两侧各有五个通风孔,并有五排成熟的番茄作物及其外部直接环境。从实验数据推导出用于速度分布的风边界条件,并且相对于温室纵轴的风向可以在0到90度之间变化。测试了三种湍流模型:标准kappa-epsilon模型,重归一化组(RNG)模型和可实现的kappa-epsilon模型。在0度,45度和90度下进行的模拟结果清楚地表明了风向对温室内速度,温度和湿度分布的影响。使用不同的湍流模型对速度场的计算还显示出温室内部速度,温度和湿度模式的明显差异,并确认了选择封闭模型对于湍流建模的重要性。

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