Ultrahigh-efficiency desalination via a thermally-localized multistage solar still

Passive vapor generation systems with interfacial solar heat localization enable high-efficiency low-cost desalination. In particular, recent progress combining interfacial solar heating and vaporization enthalpy recycling through a capillary-fed multistage architecture, known as the thermally-local...

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Veröffentlicht in:Energy & environmental science 2020-01, Vol.13 (3), p.830-839
Hauptverfasser: Xu, Zhenyuan, Zhang, Lenan, Zhao, Lin, Li, Bangjun, Bhatia, Bikram, Wang, Chenxi, Wilke, Kyle L., Song, Youngsup, Labban, Omar, Lienhard, John H., Wang, Ruzhu, Wang, Evelyn N.
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Sprache:eng
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Zusammenfassung:Passive vapor generation systems with interfacial solar heat localization enable high-efficiency low-cost desalination. In particular, recent progress combining interfacial solar heating and vaporization enthalpy recycling through a capillary-fed multistage architecture, known as the thermally-localized multistage solar still (TMSS), significantly improves the performance of passive solar desalination. Yet, state-of-the-art experimental demonstrations of solar-to-vapor conversion efficiency are still limited since the dominant factors and the general design principle for TMSS were not well-understood. In this work, we show optimizing the overall heat and mass transport in a multistage configuration plays a key role for further improving the performance. This understanding also increases the flexibility of material choices for the TMSS design. Using a low-cost and free-of-salt accumulation TMSS architecture, we experimentally demonstrated a record-high solar-to-vapor conversion efficiency of 385% with a production rate of 5.78 L m −2 h −1 under one-sun illumination, where more than 75% of the total production was collected through condensation. This work not only significantly improves the performance of existing passive solar desalination technologies for portable and affordable drinking water, but also provides a comprehensive physical understanding and optimization principle for TMSS systems.
ISSN:1754-5692
1754-5706
DOI:10.1039/C9EE04122B