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溫室環(huán)境-作物濕熱系統(tǒng)CFD模型構(gòu)建與預(yù)測
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高等學校博士學科點專項科研基金資助項目(200802990009)和江蘇大學現(xiàn)代農(nóng)業(yè)裝備與技術(shù)重點實驗室開放基金資助項目(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型兩連棟玻璃溫室為研究對象,對作物蒸騰和土壤蒸發(fā)與室內(nèi)外環(huán)境因子之間的關(guān)系進行了分析。在充分考慮太陽輻射影響和室內(nèi)水蒸氣傳輸過程基礎(chǔ)上,,結(jié)合多孔介質(zhì)模型,構(gòu)建了求解溫室環(huán)境〖CD*2〗作物濕熱系統(tǒng)的CFD數(shù)學模型,,并對邊界條件的設(shè)置進行了探討。采用Fluent軟件對不同天氣條件和種植密度溫室內(nèi)溫度分布模式進行了3-D數(shù)值模擬與預(yù)測,。結(jié)果表明:室內(nèi)溫,、濕度模擬值與實測值平均相對誤差分別為5.7%和2.1%,CFD模型有效,,邊界設(shè)置合理,。晴天室內(nèi)作物區(qū)平均溫度較陰天時高1.6℃左右,相對濕度約低3%,,太陽輻射對溫,、濕度分布有影響;雙密度栽培作物區(qū)溫度較單密度高0.8℃,,相對濕度高19%,。溫室背風側(cè)溫、濕度略高于迎風側(cè),,作物區(qū)溫,、濕度分布比較均勻,作物和土壤騰發(fā)作用對室內(nèi)溫,、濕度分布有影響,。

    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 軍.溫室環(huán)境-作物濕熱系統(tǒng)CFD模型構(gòu)建與預(yù)測[J].農(nóng)業(yè)機械學報,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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