%0 Journal Article %A FANG Hui %A ZHANG Yi %A WU Gang %A CHENG Rui-feng %A ZHOU Bo %A YANG Qi-chang %T Modelling of Thermal Climate in a Large-scale Insulation Solar Greenhouse %D 2019 %R 10.3969/j.issn.1000-6362.2019.03.002 %J Chinese Journal of Agrometeorology %P 149-158 %V 40 %N 03 %X Large-scale insulation solar greenhouse, with wide span, steel frame and built in south-north orientation, was a tunnel type greenhouse. The distance between greenhouses was only 2m and the land utilization efficiency can be increased up to 91%, but it still has the characteristics of energy saving compared with traditional solar greenhouse. A greenhouse climate model was developed in order to predict the inside air temperature and root zone temperature to assess the greenhouse insulation and heat storage ability based on the physical processes of heat conduction, heat convection, solar radiation distribution, sky radiation, crop transpiration and air exchanged by natural ventilation. The model was established with Matlab software to calculate the temperature of the different parts. The variables, include inside air temperature and plant root zone temperature, were also measured during four successive days with time span of 10min. The results showed that the absolute error of the air temperature inside large-scale insulation solar greenhouse was ±1.3℃, the simulated air temperature agreed well with the measured data. The determination coefficient of linear equation (R2) (n=576), root mean squared error (RMSE) and relative prediction error (RE) between simulated and measured air temperature was 0.99, 1.6℃ and 16.4%, respectively. The absolute error of the root zone temperature was ±0.6℃. The determination coefficient of linear equation (R2) (n=576), RMSE and RE between simulated and measured root zone temperature was 0.91, 0.76℃ and 6.7%, respectively. It was concluded that the model was robust and could be used for the optimization of the large-scale insulation solar greenhouse as well as the climate control. %U https://zgnyqx.ieda.org.cn/EN/10.3969/j.issn.1000-6362.2019.03.002