Modeling and Numerical Analysis of Harvesting Atmospheric Water Using Copper Chloride

Sadeem S. Alkinani, M. El-Amin, T. Brahimi
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引用次数: 1

Abstract

Access to freshwater is becoming increasingly difficult due to a lack of sources, such as lakes, rivers, and groundwater. To resolve water scarcity, Harvesting Atmospheric Water (HAW) has emerged as a promising alternative water source, particularly for arid areas. However, the efficiency of an atmospheric water harvesting system depends on relative humidity, temperature, water sorption capacity based on the adsorption phenomenon, and other factors. This paper aims to develop a mathematical model to simulate and analyze atmospheric water harvesting using copper chloride. The simulation results show that the proposed mathematical modeling predicts well the water content. The water content reaches saturation at different times, depending on the depth. More work is underway to simulate and analyze atmospheric water harvesting using other types of salts, for example, magnesium sulfate and copper sulfate and compare the results with experimental data, as well as conducting sensitivity analysis to explore how depths, porosities, hydraulic conductivities, temperatures, and relative humidity affect moisture absorption.
利用氯化铜收集大气水的模拟与数值分析
由于缺乏湖泊、河流和地下水等水源,获取淡水正变得越来越困难。为了解决水资源短缺问题,收集大气水(HAW)已成为一种有前途的替代水源,特别是在干旱地区。然而,大气集水系统的效率取决于相对湿度、温度、基于吸附现象的吸水能力和其他因素。本文旨在建立一个数学模型来模拟和分析利用氯化铜收集大气水的过程。仿真结果表明,该数学模型能较好地预测含水率。含水量在不同的时间达到饱和,取决于深度。更多的工作正在进行中,以模拟和分析使用其他类型的盐(例如硫酸镁和硫酸铜)的大气集水,并将结果与实验数据进行比较,以及进行敏感性分析,以探索深度、孔隙度、水力导电性、温度和相对湿度如何影响吸湿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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