温室环境-作物湿热系统CFD模型构建与预测
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高等学校博士学科点专项科研基金资助项目(200802990009)和江苏大学现代农业装备与技术重点实验室开放基金资助项目(NZ200802)


Numerical Prediction and CFD Modeling of Relative Humidity and Temperature for Greenhouse-Crops System
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    摘要:

    以栽有番茄的Venlo型两连栋玻璃温室为研究对象,对作物蒸腾和土壤蒸发与室内外环境因子之间的关系进行了分析。在充分考虑太阳辐射影响和室内水蒸气传输过程基础上,结合多孔介质模型,构建了求解温室环境〖CD*2〗作物湿热系统的CFD数学模型,并对边界条件的设置进行了探讨。采用Fluent软件对不同天气条件和种植密度温室内温度分布模式进行了3-D数值模拟与预测。结果表明:室内温、湿度模拟值与实测值平均相对误差分别为5.7%和2.1%,CFD模型有效,边界设置合理。晴天室内作物区平均温度较阴天时高1.6℃左右,相对湿度约低3%,太阳辐射对温、湿度分布有影响;双密度栽培作物区温度较单密度高0.8℃,相对湿度高19%。温室背风侧温、湿度略高于迎风侧,作物区温、湿度分布比较均匀,作物和土壤腾发作用对室内温、湿度分布有影响。

    Abstract:

    The relations between tomato crops and soil transpiration and the microclimatic factors inside and outside bispan greenhouse were analyzed. The computational fluid dynamics (CFD) model was used to solve the temperature and relative humidity (RH) distributions based on water vapor transmission and solar radiation with the porous models, and the boundary conditions were discussed. The 3D temperature numerical simulations were tested by means of Fluent software. The results showed the average relative errors of the simulated and the measured values were 5.7% and2.1%, respectively. The CFD model and the boundary conditions were proved to be validated. Compared to cloudy days, the average temperature was 1.6℃ higher and relative humidity was 3% lower in sunny days. The solar radiation had an effect on the temperature and RH distributions. The average temperature was 0.8℃ higher and RH was 19% higher for the double density plants than that of single density plants. The temperature and RH distributions were lower near the leeward than the windward inside greenhouse, but a homogeneous pattern was observed in cropping region.

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程秀花,毛罕平,倪 军.温室环境-作物湿热系统CFD模型构建与预测[J].农业机械学报,2011,42(2):173-179. Cheng Xiuhua, Mao Hanping, Ni Jun. Numerical Prediction and CFD Modeling of Relative Humidity and Temperature for Greenhouse-Crops System[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(2):173-179.

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