Study on the Natural Ventilation Characteristics of a Solar Greenhouse in a High-Altitude Area

文献类型： 外文期刊

第一作者： Liang, Bohua

作者： Liang, Bohua;Zhao, Shumei;Wang, Pingzhi;Zhang, Jingfu;Ding, Tao;Li, Yanfeng;Liu, Zhiwei

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关键词： high altitude; CFD simulation; wind pressure; thermal pressure; ventilation rate

期刊名称：AGRONOMY-BASEL （ 影响因子：3.949； 五年影响因子：4.117 ）

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年卷期： 2022 年 12 卷 10 期

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收录情况： SCI

摘要： The ventilation rate of a greenhouse is one of the major factors to consider when assessing its ventilation performance. Compared with plain areas, high-altitude areas have lower air pressure, thinner air, and stronger solar radiation, which in turn affect the magnitude of the local greenhouse ventilation rate. This paper is based on the use of online monitoring and computational fluid dynamics (CFD) techniques for modeling and model validation. The average relative error (ARE), mean absolute error (MAE), root-mean-square error (RMSE), and determination coefficient (R-2) of the temperature were 4.88%, 1.396 degrees C, 1.428 degrees C, and 0.9982, respectively. The ARE, MAE, RMSE, and R-2 of the velocity were 9.525%, 0.035 m/s, 0.049 m/s, and 0.9869, respectively. Then, the distributions of the wind pressure, Reynolds number (Re), thermal pressure, air density, air speed, and temperature in greenhouses in high-altitude and plain areas were researched to obtain the relevant factors affecting the ventilation rates of greenhouses in high-altitude areas. In addition, correlation analyses were conducted for five variables affecting the ventilation rate: the inlet velocity, the temperature difference between the inside and outside of the greenhouse, the air density difference between the inside and outside of the greenhouse, total indoor radiation, and the internal heat source of the crop, and the coefficients of their correlations with the greenhouse ventilation rate were 1.0, -0.83, -0.72, -0.72, and 0.68, respectively. A natural ventilation rate model for plateau areas was developed, with the ARE, RMSE, and R-2 between the sample values and fitted values determined to be 4.55%, 0.543 m(3)/s, and 0.9997, respectively. The model was validated by predicting the greenhouse ventilation rate in winter (3 January 2022), and the ARE, RMSE, and R-2 of the sample values and predicted values were 9.726%, 8.435 m(3)/s, and 0.9901, respectively. This study provides a theoretical basis for further research on greenhouse ventilation characteristics in high-altitude areas.

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