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Study on the Natural Ventilation Model of a Single-Span Plastic Greenhouse in a High-Altitude Area

文献类型： 外文期刊

作者： Li, Youyu 1 ; Zhao, Shumei 1 ; Dai, Anguo 2 ; Zhang, Jingfu 1 ; Fan, Zilong 1 ; Ding, Tao 1 ;

作者机构： 1.China Agr Univ, Coll Water Resources & Civil Engn, Beijing 100083, Peoples R China

2.Tibet Acad Agr & Anim Husb Sci, Vegetable Res Inst, Lhasa 850032, Peoples R China

关键词： single-span plastic greenhouse; natural ventilation; high-altitude area; computational fluid dynamics; ventilation rate

期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）

ISSN：

年卷期： 2024 年 14 卷 9 期

页码：

收录情况： SCI

摘要： The natural ventilation model plays a crucial role in greenhouse environmental control. It has been extensively studied by previous researchers, but it is limited to low-altitude areas. This study established a numerical model of single-span plastic greenhouses in high-altitude areas. The model was validated using measured data, showing a good agreement between the measured and simulated values. By setting boundary conditions based on on-site monitoring data, ventilation rates were extracted under different conditions for numerical simulations. Through nonlinear fitting, an empirical formula for natural ventilation rates, with a determination coefficient (R2) of 0.9724, was derived. The formula was validated through an energy balance analysis of indoor air. Different ventilation opening sizes were simulated to derive an empirical formula for natural ventilation rates based on opening size. Building on this, the relationship between plant height and ventilation rate was analyzed. As the dominant factors of natural ventilation change with environmental fluctuations, this study also proposed the threshold wind speed for wind pressure ventilation, thermal pressure ventilation, and coupled ventilation, filling the knowledge gap in relevant ventilation rate calculations. This is the first time that a natural ventilation model of single-span plastic greenhouses in high-altitude areas has been proposed, providing the basis in terms of modeling for the further development of local facility agriculture.

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