Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.enconman.2024.118863 |
Optimization and performance evaluation of a novel absorption-based atmospheric water generator system for enhanced energy efficiency | |
Karimi, Kiarash; Houshfar, Ehsan; Jalali, Alireza | |
通讯作者 | Houshfar, E |
来源期刊 | ENERGY CONVERSION AND MANAGEMENT
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ISSN | 0196-8904 |
EISSN | 1879-2227 |
出版年 | 2024 |
卷号 | 317 |
英文摘要 | Providing potable water poses a severe and chronic challenge for the human race. Conventional desalination systems are only feasible in large-scale production, requiring significant energy and a source of feeding water. Atmospheric water harvesting is a decentralized water production method that uses air humidity as a renewable water source. This technique holds promise for providing water even in hard-to-reach regions with no source of liquid water. However, the feasibility of this method declines in arid or semi-arid climates. In this paper, a novel absorption-based atmospheric water generator is proposed to improve the feasibility and cost-effectiveness of this technique to make it a viable method for producing fresh water, even in arid regions. The system is modeled using EES software to explore the effects of seven adjustable parameters on its performance. Subsequently, the modeled system is transferred into MATLAB through the utilization of artificial neural networks. A tri-objective optimization is then carried out using the genetic algorithm approach. The optimized system can produce 14016m3/year of fresh water, with a levelized cost of approximately 33.72 $/m3, operating under hot and arid weather conditions (27 degrees C and 25% RH). The data acquired from the system's performance parameters is leveraged to derive correlations that are used to determine the system's performance based on the input weather data. These correlations allow for the assessment of system feasibility across various regions and serve as a valuable shortcut in modeling similar systems for future research. |
英文关键词 | Atmospheric water harvesting Liquid desiccant Thermo-economic analysis Artificial neural networks Tri-objective optimization Genetic algorithm |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:001285790300001 |
WOS关键词 | AQUEOUS LITHIUM-CHLORIDE ; MASS-TRANSFER ; PACKED-COLUMN ; AIR ; DEHUMIDIFICATION ; HEAT ; DRIVEN ; DESIGN ; FOG |
WOS类目 | Thermodynamics ; Energy & Fuels ; Mechanics |
WOS研究方向 | Thermodynamics ; Energy & Fuels ; Mechanics |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/403495 |
推荐引用方式 GB/T 7714 | Karimi, Kiarash,Houshfar, Ehsan,Jalali, Alireza. Optimization and performance evaluation of a novel absorption-based atmospheric water generator system for enhanced energy efficiency[J],2024,317. |
APA | Karimi, Kiarash,Houshfar, Ehsan,&Jalali, Alireza.(2024).Optimization and performance evaluation of a novel absorption-based atmospheric water generator system for enhanced energy efficiency.ENERGY CONVERSION AND MANAGEMENT,317. |
MLA | Karimi, Kiarash,et al."Optimization and performance evaluation of a novel absorption-based atmospheric water generator system for enhanced energy efficiency".ENERGY CONVERSION AND MANAGEMENT 317(2024). |
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