Water harvesting from air using patterned wettability-contrast surfaces

The imminent global water shortage crisis, with a projected two-thirds of the world’s population facing water shortages by 2025, has intensified the need for innovative freshwater collection methods. This study investigates water condensation behaviors through a combination of lab experiments and si...

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Main Author: Chen, Xingyu
Other Authors: Chen Zhong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/175792
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1757922024-05-11T16:45:48Z Water harvesting from air using patterned wettability-contrast surfaces Chen, Xingyu Chen Zhong School of Materials Science and Engineering ASZChen@ntu.edu.sg Engineering The imminent global water shortage crisis, with a projected two-thirds of the world’s population facing water shortages by 2025, has intensified the need for innovative freshwater collection methods. This study investigates water condensation behaviors through a combination of lab experiments and simulations conducted on surfaces with single and patterned wettabilities. Glass slide surfaces were functionalized by a cost-effective, vacuum-free, and scalable sol-gel process with different wettabilities and roughness to lay a foundation for this research. Atmospheric water harvesting (AWH) efficiency was quantified using a Peltier cooling stage and an analytical weighing balance. To gain a deeper understanding of the condensation findings, the water contact angles (WCA) were measured using a goniometer, while the morphologies of diverse surfaces were characterized by FESEM and AFM. Surface chemical composition was identified by XPS. Observations of trade-offs in single surfaces between droplet transportation (preferably on hydrophobic surfaces) and growth (preferably on hydrophilic surfaces) highlighted the importance of surface patterning. To delve deeper into the working mechanisms, a multi-faceted approach was employed, integrating experiments with Molecular Dynamics (MD) and Python simulations. MD unveiled water vapor nucleation behaviors on different wetting surfaces. The integration of MD data into Python facilitated the visualization of condensation at the micron level and enabled precise calculations of harvesting efficiency on diverse patterned surfaces. Validation through the fabrication of patterned surfaces, using pure oxygen plasma treatment covered by 3D-printed photomasks with various sizes and shapes, affirmed the practicality of our findings. This study provides valuable scientific insights for designing future surface patterns for AWH. Bachelor's degree 2024-05-08T01:25:39Z 2024-05-08T01:25:39Z 2024 Final Year Project (FYP) Chen, X. (2024). Water harvesting from air using patterned wettability-contrast surfaces. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175792 https://hdl.handle.net/10356/175792 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Chen, Xingyu
Water harvesting from air using patterned wettability-contrast surfaces
description The imminent global water shortage crisis, with a projected two-thirds of the world’s population facing water shortages by 2025, has intensified the need for innovative freshwater collection methods. This study investigates water condensation behaviors through a combination of lab experiments and simulations conducted on surfaces with single and patterned wettabilities. Glass slide surfaces were functionalized by a cost-effective, vacuum-free, and scalable sol-gel process with different wettabilities and roughness to lay a foundation for this research. Atmospheric water harvesting (AWH) efficiency was quantified using a Peltier cooling stage and an analytical weighing balance. To gain a deeper understanding of the condensation findings, the water contact angles (WCA) were measured using a goniometer, while the morphologies of diverse surfaces were characterized by FESEM and AFM. Surface chemical composition was identified by XPS. Observations of trade-offs in single surfaces between droplet transportation (preferably on hydrophobic surfaces) and growth (preferably on hydrophilic surfaces) highlighted the importance of surface patterning. To delve deeper into the working mechanisms, a multi-faceted approach was employed, integrating experiments with Molecular Dynamics (MD) and Python simulations. MD unveiled water vapor nucleation behaviors on different wetting surfaces. The integration of MD data into Python facilitated the visualization of condensation at the micron level and enabled precise calculations of harvesting efficiency on diverse patterned surfaces. Validation through the fabrication of patterned surfaces, using pure oxygen plasma treatment covered by 3D-printed photomasks with various sizes and shapes, affirmed the practicality of our findings. This study provides valuable scientific insights for designing future surface patterns for AWH.
author2 Chen Zhong
author_facet Chen Zhong
Chen, Xingyu
format Final Year Project
author Chen, Xingyu
author_sort Chen, Xingyu
title Water harvesting from air using patterned wettability-contrast surfaces
title_short Water harvesting from air using patterned wettability-contrast surfaces
title_full Water harvesting from air using patterned wettability-contrast surfaces
title_fullStr Water harvesting from air using patterned wettability-contrast surfaces
title_full_unstemmed Water harvesting from air using patterned wettability-contrast surfaces
title_sort water harvesting from air using patterned wettability-contrast surfaces
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175792
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