微型植物工厂环境控制参数优化试验研究

Experimental Study on Optimization of Environmental Control Parameters in Micro-plant Factory

为了提高微型植物工厂内部温度分布均匀性和作物净光合速率,提出采用试验研究和CFD仿真相结合的方法对其环境控制参数进行优化设计。以生菜为例,通过多因素耦合试验,探索了温度、湿度和循环风速3种因素对生菜净光合速率和蒸腾速率的影响,并对不同风速控制策略下植物工厂内气流场和温度场进行了CFD数值仿真分析。试验结果表明:风速对生菜的净光合速率和蒸腾速率均有显著影响;微型植物工厂内采用上层低循环风速、下层高循环风速模式,有利于保证内部温度的均匀性,生菜的净光合速率也处于较高水平,有利于其生长。

Aimed to improve the uniformity of temperature distribution inside the micro-plant factory and increase the net photosynthetic rate of crops,a combination of experimental research and CFD simulation was proposed to optimize the environmental control parameters.Taking lettuce as an example,the effects of temperature,humidity and circulating wind speed on the net photosynthetic rate and transpiration rate of lettuce were explored by multi-factor coupling experiment.CFD was carried out in the airflow field and temperature field of plant factory under different wind speed control modes.The results showed that the wind speed had significant effects on the net photosynthetic rate and transpiration rate of lettuce.The numerical analysis showed that the lower cycle wind speed in the upper layer and the higher cycle wind speed in the lower layer in the micro-plant factory were beneficial to ensure the uniformity of internal temperature.The net photosynthetic rate of lettuce is also at a high level,which is conducive to the growth of lettuce.