Issue 11, 2023

Controllable-morphology polymer blend photonic metafoam for radiative cooling

Abstract

Incorporating radiative cooling photonic structures into the cooling systems of buildings presents a novel strategy to mitigate global warming and boost global carbon neutrality. Photonic structures with excellent solar reflection and thermal emission can be obtained by a rational combination of different materials. The current preparation strategies of radiative cooling materials are dominated by doping inorganic micro-nano particles into polymers, which usually possess insufficient solar reflectance. Here, a porous polymer metafoam was prepared with polycarbonate (PC) and polydimethylsiloxane (PDMS) using a simple thermally induced phase separation method. The metafoam exhibits strong solar reflectivity (97%), superior thermal emissivity (91%), and low thermal conductivity (46 mW m−1 K−1) due to the controllable morphology of the randomly dispersed light-scattering air voids. Cooling tests demonstrate that the metafoam could reduce the average temperature by 5.2 °C and 10.2 °C during the daytime and nighttime, respectively. In addition, the simulation of a cooling energy system of buildings indicates that the metafoam can save 3.2–26.7 MJ m−2 per year in different cities, which is an energy-saving percentage of 14.7–41%. The excellent comprehensive performances, including the passive cooling property, thermal insulation and self-cleaning of the metafoam makes it appropriate for practical outdoor applications, exhibiting its great potential as an energy-saving building cooling material.

Graphical abstract: Controllable-morphology polymer blend photonic metafoam for radiative cooling

Supplementary files

Article information

Article type
Communication
Submitted
01 Jul 2023
Accepted
17 Aug 2023
First published
18 Aug 2023

Mater. Horiz., 2023,10, 5060-5070

Controllable-morphology polymer blend photonic metafoam for radiative cooling

Y. Wang, T. Wang, J. Liang, J. Wu, M. Yang, Y. Pan, C. Hou, C. Liu, C. Shen, G. Tao and X. Liu, Mater. Horiz., 2023, 10, 5060 DOI: 10.1039/D3MH01008B

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