Shandong Provincial Climate Center

Jinan, China

Shandong Provincial Climate Center

Jinan, China

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Su W.,Nanjing University of Information Science and Technology | Xue X.-P.,Shandong Provincial Climate Center | Xiong Y.,Nanjing University of Information Science and Technology | Cao J.,Shandong Provincial Climate Center
Chinese Journal of Ecology | Year: 2016

The 3-D numerical simulation was utilized to study temperature distribution of the greenhouse under natural ventilation in winter based on the experimental observation of the solar greenhouse with tomatoes in Jinan. The temperature distribution was obtained using the computational fluid dynamics (CFD) numerical techniques with the support of the standard k-ε turbulent model and the discrete ordinates (DO) radiation model. The results showed that the CFD numerical techniques could generate a satisfactory simulation of the temperature variation of the naturally ventilated solar greenhouse. The average error between the simulated and actual temperature was 0.9 °C. In the sunny days in winter, the temperature of the greenhouse could reach the suitable level for crop within 16-23 min under the conditions of the different wind directions and the corresponding average wind speeds in Jinan. The temperature difference was around 3 °C between the temperatures in the north and south and around 4 °C between the east and west when the wind direction was NE, ENE, E, ESE, SE, SW. The temperature difference was around 4 °C between the north and south and around 1 °C between the east and west when the wind direction was SSW. Our results could provide a scientific reference to the structural optimization and the production management of the solar greenhouse. © 2016, Editorial Board of Chinese Journal of Ecology. All rights reserved.


Nan L.,Shandong Provincial Climate Center | Xiaoping X.,Shandong Provincial Climate Center | Hongyi L.,Shandong Provincial Climate Center | Yanchun C.,Shandong Provincial Climate Center
Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011 | Year: 2011

Analysis the change rules and distribution of microclimate that in greenhouse such as temperature, humidity and earth temperature under different weather types in winter and spring, using the observed data in the cucumber greenhouse which seated in Shandong provincial Shouguang from 2007 to 2010. Using statistical method to choose the factors for forecast and simulate models for next day's temperature forecast, according different months, different weather types and different time in a day. The simulation results are good except the April. Exam models to forecast temperature in greenhouse with observed data and weather forecast of February to May in 2010, and results are good, models can be used in forecast. © 2011 IEEE.


Xiaoping X.,Shandong Provincial Climate Center | Nan L.,Shandong Provincial Climate Center | Hongyi L.,Shandong Provincial Climate Center | Jie C.,Shandong Provincial Climate Center
Advance Journal of Food Science and Technology | Year: 2013

Based on the comparison and observations of the internal and external meteorological conditions of the heliogreenhouse, BP neural network, stepwise regression and energy balance principle were used, respectively, to construct the greenhouse air temperature prediction model. The results showed that although the BP neural network-based prediction model had a high forecasting accuracy, due to the comparatively different growth characteristics of cultivated crops, there was a lack of wide adaptability of services; the mechanism of the prediction model constructed by the energy balance principle was strong, but it was difficult to obtain the relevant parameters and had a poor prediction accuracy and a short effective service period; the greenhouse temperature prediction model constructed by the stepwise regression had a comparative advantage over the previous two models and the forecasting effectiveness can be for the next 1-7 days. © Maxwell Scientific Organization, 2013.

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