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Hierarchical-morphology metafabric for scalable passive daytime radiative cooling
Shaoning Zeng1, Sijie Pian2, Minyu Su1
1Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China.
Science (New York, N.Y.)
|August 6, 2021
Summary
New woven metafabrics offer effective personal thermal management for combating climate change. These advanced textiles provide significant cooling, outperforming traditional fabrics for broader applications.
Area of Science:
- Materials Science
- Textile Engineering
- Thermodynamics
Background:
- Global climate change necessitates advanced personal thermal management solutions.
- Passive radiative cooling offers a sustainable approach to mitigate heat stress.
- Existing technologies often lack the performance or scalability for widespread adoption.
Purpose of the Study:
- To develop and evaluate large-scale woven metafabrics for passive radiative cooling.
- To demonstrate the material's capability for effective personal thermal management.
- To assess the commercial viability and performance advantages of the developed metafabrics.
Main Methods:
- Fabrication of woven metafabrics with hierarchical-morphology design.
- Characterization of optical properties (emissivity and reflectivity).
- Evaluation of mechanical properties (strength, waterproofness, breathability).
- In-situ testing of cooling performance against commercial fabrics.
Main Results:
- Metafabrics achieved high emissivity (94.5%) in the atmospheric window and high reflectivity (92.4%) in the solar spectrum.
- The material exhibits desirable mechanical strength, waterproofness, and breathability suitable for clothing.
- Practical tests showed a cooling effect of approximately 4.8°C lower than cotton fabric.
- Scalable industrial textile manufacturing routes were confirmed.
Conclusions:
- The developed woven metafabrics demonstrate high performance for passive radiative cooling.
- These materials offer a cost-effective and scalable solution for personal thermal management.
- The technology presents significant advantages for intelligent garments, smart textiles, and broader climate change adaptation strategies.
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