利用物理和气候指标评价温室环境绩效的数学模拟模型的开发与应用

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摘要

本研究旨在确定并应用数学模型来模拟环境和气候参数,以评估北苏丹喀土穆(枣椰树技术公司)三个地区不同温室的性能。Abu Halima中心和喀土穆大学)。评估方法依赖于计算机模拟模型的开发,从房屋物理特征和气候数据生成十个环境绩效评价指标(相对湿度效率;冷却效率、水分饱和效率;耗水量;房屋整体效率;室内通风量、最佳内部温度和内部相对湿度)。将该评价模型应用于喀土穆北部3个不同位置的9个大棚的结果显示,3个研究区域的评价指标无显著差异(P = 0.05)。该研究得出结论,需要在以下方面进一步改进温室作物栽培系统的运行模式:使用可持续和节能的冷却和通风技术,采用节约用水和有效利用的新技术,引入适合高温和强太阳辐射的适当材料,以及自动化系统等技术的可及性。在目前的系统中,特别是发现水分利用效率低于预期,迫切需要采取措施加以改善。对于扇垫温室的系统效率和效用而言,冷却系统的有效性是内部环境参数(温度和相对湿度)的函数,二者呈负相关关系。评价模型表明,在相对湿度较低的地区,制冷效率有上升的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Application of a Mathematical Simulation Model to Evaluate Environmental Performance of Greenhouses Using Physical and Climatic Indicators
This study was conducted to determine and apply a mathematical model to simulate the environmental and climatic parameters to evaluate the performance of different greenhouses in three areas within the Khartoum North – Sudan (Date Palm Technology Company., Abu Halima Center and Khartoum University). The assessment method depends on development of a computer simulation model to generate from house physical characteristics and climate data ten environmental performance evaluation indicators (Relative moisture efficiency; Cooling effectiveness, Moisture saturation efficiency; Water consumption rate; House overall efficiency; House ventilation rate, Optimum internal temperature and internal relative humidity).The result of application of the evaluation model for nine greenhouses in three different locations in Khartoum North reveals that there is no significant differences (P = 0.05) in evaluation indicators between the three studied areas. The study concluded that additional work is needed to upgrade the mode of running greenhouse crop cultivation system with regards to: using sustainable and energy efficient cooling and ventilation technologies, adopting new techniques to conserve water and its efficient utilization, introducing properly adapted materials for high temperatures and strong solar radiation, and accessibility of technologies such as automation systems. In the current system moisture use efficiency in particular found to be lower than expected and measures to improvement are critically needed. With respect to the system efficiency and utility of fan and pad greenhouse the effectiveness of cooling system is function of internal environmental parameter (temperature and relative humidity with negative relation). The evaluation model shows that cooling efficiency tends to go up in the areas with low relative humidity.
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