Homogeneous Polymer Films for Passive Daytime Cooling: Optimized Thickness for Maximized Cooling Performance
Kai Herrmann, Tobias Lauster, Qimeng Song and 1 more
Advanced Energy & Sustainability Research · 2022
doi:10.1002/aesr.202100166 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Passive radiative cooling materials that spontaneously cool below ambient temperature can save tremendous amounts of energy used for cooling applications. A multitude of materials, structures, and fabrication strategies have been reported in recent years. Important material parameters like a tailored or broadband emissivity, angle selectivity, or the influence of nonradiative heat losses were discussed in detail. The material thickness has been far less researched and is typically chosen sufficiently thick to ensure high emission in the atmospheric transparency window between wavelengths of 8–13 μm. However, not only the material emittance but also atmospheric and solar energy uptake depend on the material thickness. This broadband interplay has been less addressed so far. Herein, it is shown how an optimum thickness of a passive cooling material can be predicted when the optical properties of the material are known. Using complex refractive index data, the thickness‐dependent cooling performance of polydimethylsiloxane (PDMS) in back‐reflector geometry as exemplary material is calculated. For both day‐ and nighttime operation, an optimum emitter thickness is reported. The findings are verified experimentally by measuring the equilibrium temperatures of PDMS films with different thicknesses in a rooftop experiment. The presented analytical approach is directly transferable to other materials.
Abstract licence: CC BY
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.