Sepehr Sanaye , Pouya Rezvani Gil Kalaee , Javad Mahmoudimehr
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However, this research uses its own developed relations obtained based on experimental results for variable pressure difference on both sides of membranes. As this proposed membrane system provides the air with near saturated water vapor conditions, thus, VCR system requires lower cooling capacity and lower electricity consumption for the condensation process. This proposed water harvesting system is modeled in energy and economic aspects for the first time and is optimized in this research by applying multi-objective Genetic Algorithm (GA) technique. The water production rate and the total annual cost rate were considered as two objective functions. Also, five design variables are selected after considering their effects on the objective functions. The optimization procedure performed for four different climate zones of Iran. Optimization results for the second zone showed 3.56 L per hour water production rate with about 29 % lower energy consumption in comparison with that for typical condensation process of water vapor in the same atmospheric air. 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引用次数: 0
摘要
饮用水短缺是一个日益严峻的全球性问题,从环境空气的湿度中提取饮用水可以解决这一问题。本研究提出了膜、真空泵和蒸汽压缩制冷(VCR)系统相结合的集水系统。聚二甲基硅氧烷(PDMS)和聚丙烯腈(PAN)聚合物膜通过分离过程增加水蒸气在渗透侧的分压,有助于从空气中分离水蒸气。在许多研究中,即使膜两侧的压差发生变化,水蒸气的渗透性都是恒定的。然而,本研究使用了自己根据实验结果得出的膜两侧可变压差关系。由于所提出的膜系统为空气提供接近饱和的水蒸气条件,因此,VCR系统对冷凝过程的冷却能力和功耗要求较低。本文首次从能源和经济两方面对该集水系统进行建模,并采用多目标遗传算法(GA)技术对其进行优化。将产水量和年总成本作为两个目标函数。在考虑了五个设计变量对目标函数的影响后,选择了五个设计变量。对伊朗四个不同气候带进行了优化。优化结果表明,第二区域的产水量为3.56 L / h,能耗比相同大气条件下典型水蒸气冷凝过程降低29%左右。水蒸气去除效率、制水成本和能耗分别提高63.6%、0.31美元/升和1714 kJ /升。
Modeling and optimizing the atmospheric water harvesting System: Application of PAN-PDMS polymeric membrane
Potable water scarcity is an increasingly demanding global issue and the extraction of potable water from the humidity of ambient air can be a solution to this problem. In this research combination of membranes, vacuum pump and vapor compression refrigeration (VCR) system is proposed as a water harvesting system. Polymeric membranes Polydimethylsiloxane (PDMS) and polyacrylonitrile (PAN), helped to separate water vapor from air by increasing the partial pressure of water vapor on the permeate side due to the separation process. The water vapor permeability has been assumed constant even with change in the pressure difference on two sides of the membrane in many research studies. However, this research uses its own developed relations obtained based on experimental results for variable pressure difference on both sides of membranes. As this proposed membrane system provides the air with near saturated water vapor conditions, thus, VCR system requires lower cooling capacity and lower electricity consumption for the condensation process. This proposed water harvesting system is modeled in energy and economic aspects for the first time and is optimized in this research by applying multi-objective Genetic Algorithm (GA) technique. The water production rate and the total annual cost rate were considered as two objective functions. Also, five design variables are selected after considering their effects on the objective functions. The optimization procedure performed for four different climate zones of Iran. Optimization results for the second zone showed 3.56 L per hour water production rate with about 29 % lower energy consumption in comparison with that for typical condensation process of water vapor in the same atmospheric air. The improved values for water vapor removal efficiency, water production cost, and the energy consumption were 63.6 %, 0.31 $ per liter, and 1714 per liter respectively.