数字农科院2.0

Towards a better understanding of atmospheric water harvesting (AWH) technology

文献类型： 外文期刊

作者： Wang M.;Liu E.;Jin T.;Zafar S.-U.;Mei X.;Fauconnier M.-L.;De Clerck C.

作者机构：

关键词： Application;Atmospheric water harvesting;Energy;Technology

期刊名称： Water Research

ISSN： 0043-1354

年卷期： 2024 年 250 卷

页码：

收录情况： SCIE（2024版） ; ; EI（2024版）

摘要： Atmospheric water harvesting (AWH) technology is an emerging sustainable development strategy to deal with global water scarcity. To better understand the current state of AWH technology development, we conducted a bibliometric analysis highlighting three water harvesting technologies (fog harvesting, condensation, and sorption). By comprehensively reviewing the research progress and performing a comparative assessment of these technologies, we summarized past achievements and critically analyzed the different technologies. Traditional fog collectors are more mature, but their efficiency still needs to be improved. External field-driven fog harvesting and active condensation need to be driven by external forces, and passive condensation has high requirements for environmental humidity. Emerging bio-inspired fog harvesting and sorption technology provide new possibilities for atmospheric water collection, but they have high requirements for materials, and their commercial application is still to be further promoted. Based on the key characteristics of each technology, we presented the development prospects for the joint use of integrated/hybrid systems. Next, the water-energy relationship is used as a link to clarify the future development strategy of AWH technology in energy driving and conversion. Finally, we outlined the core ideas of AWH for both basic research and practical applications and described its limitless possibilities for drinking water supply and agricultural irrigation. This review provides an essential reference for the development and practical application of AWH technologies, which contribute to the sustainable utilization of water resources globally. © 2023 Elsevier Ltd

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