School of Agricultural Engineering, Jiangsu University, Jiangsu, China.
Faculty of Agriculture, Kyushu University, Fukuoka, 819-0395, Japan.
Sci Rep. 2023 Oct 12;13(1):17277. doi: 10.1038/s41598-023-44200-9.
CO enrichment is an essential environmental control technology due to its significantly enhancing effect on crop production capacity. Despite being a key energy consumer in protected agriculture (i.e. greenhouse systems), CO enrichment remains at a low energy use efficiency level, highlighting the need for developing more energy-efficiency strategies for CO enrichment. Therefore, this study employed the computational fluid dynamics (CFD) simulation method to replicate the CO diffusion process resulting from CO enrichment in three commercial strawberry greenhouses with varying geometric characteristics. Based on the CFD-simulated CO concentration distributions, the leaf photosynthetic rate was calculated using a mathematical model group. The CO enrichment efficiency was then analysed by calculating the ratio of increased photosynthesis across the cultivation area to the amount of energy (in CO equivalent) used. The efficiency peaked when the average CO concentration was approximately 500 μmol mol, thereby providing guidance for determining the target concentration of CO enrichment in production. Although this study is limited as the CFD simulation only considered a typical short-period CO enrichment event, future research will provide a broader analysis by considering changes throughout the day.
CO 富集是一种重要的环境控制技术,因为它可以显著提高作物的生产能力。尽管 CO 富集是保护农业(即温室系统)的主要能源消耗者,但它的能源利用效率仍然较低,这凸显了开发更节能的 CO 富集策略的必要性。因此,本研究采用计算流体动力学(CFD)模拟方法,对三种具有不同几何特征的商业草莓温室中 CO 富集导致的 CO 扩散过程进行了复制。基于 CFD 模拟的 CO 浓度分布,使用数学模型组计算叶片的光合速率。然后通过计算整个种植区域的光合作用增加量与所使用的能量(以 CO 当量计)的比值来分析 CO 富集效率。当平均 CO 浓度约为 500 μmol/mol 时,效率达到峰值,从而为确定生产中 CO 富集的目标浓度提供了指导。尽管本研究受到限制,因为 CFD 模拟仅考虑了典型的短时间 CO 富集事件,但未来的研究将通过考虑全天的变化提供更广泛的分析。