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Analysis of Greenhouse Ventilation Efficiency based on Computational Fluid Dynamics

机译:基于计算流体力学的温室通风效率分析

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The effect of wind speed and roof vent opening configuration on airflow and temperature patterns in a compartmentalised glasshouse was numerically analysed by means of two-dimensional computational fluid dynamics (CFD). The numerical model was first successfully validated against ventilation rate data collected in a 2600 m{sup}2 four-span glasshouse divided into two compartments separated by a plastic partition. The model was later used to study the consequences of three different opening configurations on the natural ventilation in a compartmentalised glasshouse with only windward or leeward roof vents, or a combination of both. The ventilation process was assessed on the basis of the estimation of the ventilation rate, which is often considered as crucial, and the analysis of the distributed climate inside the greenhouse. This study was completed by considering the velocity and temperature profiles at plant level (1 m), i.e., where the physiological mechanisms controlling plant growth take place. Results show that opening configurations combined with wind speeds strongly affect inside ventilation and microclimate parameters. Moreover, inside partition hinders the air circulation between the different parts and causes significantly different internal microclimates within each compartment. Thus, for an outside wind speed and air temperature of 1 ms{sup}(-1) and 30℃, respectively, computed ventilation rates varied from 9 to 26.5 air changes per hour in the windward compartment and from 3.7 to 12.5 air exchange per hour in the leeward one. Likewise, under the same conditions, simulations showed that air velocity at crop cover level varied according to vent arrangements and compartment positions from 0.1 to 0.5 ms{sup}(-1), whereas temperature differences varied from 2 to 6℃. This study also showed that other parameters such as climate heterogeneity must be investigated in order to define the best ventilation configuration, and that temperature and velocity rises at crop level can be balanced by opening both windward and leeward roof vents.
机译:通过二维计算流体动力学(CFD)数值分析了风速和屋顶通风口的配置对隔室温室中气流和温度模式的影响。该数值模型首先针对在一个2600 m2的四跨度温室中收集的通风率数据进行了成功验证,该温室分为两个隔间,每个隔间由一个塑料隔板隔开。后来,该模型用于研究在仅具有迎风或背风屋顶通风口或两者结合的隔间温室中三种不同的打开配置对自然通风的影响。通风过程的评估是基于对通风速率的评估(通常被认为是至关重要的)以及对温室内部分布气候的分析。通过考虑植物水平(1 m)处的速度和温度分布图(即控制植物生长的生理机制)来完成这项研究。结果表明,与风速结合的打开配置会严重影响内部通风和微气候参数。而且,内部隔板阻碍了不同部分之间的空气循环,并在每个隔室内导致明显不同的内部微气候。因此,对于外部风速和空气温度分别为1 ms {sup}(-1)和30℃,计算出的通风速率在迎风室内每小时的换气量为9到26.5每小时,每换气的通风量从3.7到12.5下风一个小时。同样,在相同条件下,模拟显示,作物覆盖水平的风速根据通风口布置和隔室位置在0.1到0.5 ms {sup}(-1)之间变化,而温差在2到6℃之间变化。这项研究还表明,必须研究其他参数(例如气候异质性)以定义最佳通风配置,并且可以通过打开迎风和背风屋顶通风口来平衡作物水平上的温度和速度升高。

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