Quantification of Spectral Emissivity of PDMS Thin Films Based on TMM and Research on Surface Thermal Environment Regulation Efficacy

Yuntan Chen; Meng Xu

doi:10.54097/4500xv77

Authors

Yuntan Chen
Meng Xu

DOI:

https://doi.org/10.54097/4500xv77

Keywords:

Passive Daytime Radiative Cooling (PDRC), Transfer Matrix Method (TMM), Surface Thermal Environment Regulation, Surface-Atmosphere Radiative Transfer.

Abstract

PDRC technology is of great significance for improving the surface thermal environment and achieving regional energy conservation. However, its core material, polydimethylsiloxane (PDMS), has limitations such as insufficient spectral selectivity and weak shielding against near-surface ambient thermal radiation, which restrict its engineering application. Based on the "surface-atmosphere radiative transfer" theory, this study employed the TMM to establish a spectral emissivity model of PDMS films, revealing the coupling mechanism among wavelength, thickness, and optical properties. Subsequently, by integrating the steady-state thermal balance equation of geographical factors, an energy exchange framework of "surface-film-atmosphere" was constructed. Results showed that PDMS films exhibit high emissivity in the atmospheric window and certain cooling effects under standard working conditions, but the lack of a high-reflectivity backsheet leads to significant parasitic thermal loads. This cross-scale integrated model provides theoretical support for enhancing the geographical adaptability and engineering feasibility of PDRC technology, contributing to the optimization of urban and rural microclimates.

References

[1]Chen M, Pang D, Chen X, et al. Passive daytime radiative cooling: Fundamentals, material designs, and applications[J]. EcoMat, 2022, 4(1): e12153.

[2]Yang M, Ren C, Wang H, et al. Mitigating urban heat island through neighboring rural land cover[J]. Nature Cities, 2024, 1(8): 522-532.

[3]Douglas L D, Rivera-Gonzalez N, Cool N, et al. A materials science perspective of midstream challenges in the utilization of heavy crude oil[J]. ACS omega, 2022, 7(2): 1547-1574.

[4]Sung C H, Hao T, Fang H, et al. Biological and Biologically Inspired Functional Nanostructures: Insights into Structural, Optical, Thermal, and Sensing Applications[J]. Advanced Materials, 2025: e09281.

[5]Zhou S, Meng B, Yuan C. Polydimethylsiloxane (PDMS)-assisted non-destructive transient thermoreflectance characterizations[J]. Review of Scientific Instruments, 2024, 95(5).

[6]Luo X, Li F, Qiao C, et al. Research on the energy-saving effect of composite film materials on smart windows based on optical properties[J]. Thermal Science, 2023, 27(3 Part A): 2183-2194.

[7]Shi H, Xiao Z, Wen J, et al. An optical–thermal surface–atmosphere radiative transfer model coupling framework with topographic effects[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 60: 1-12.

[8]Shang J, Zhang Y, Zhang J, et al. Hydrogel-based stimuli-responsive radiative and/or evaporative cooling materials for carbon neutrality[J]. ACS Energy Letters, 2024, 9(2): 594-626.

[9]Yousuf H, Mohammed S A, Jony J A, et al. Application of high-efficiency III-V/Si bifacial tandem solar cells: A new approach to photovoltaic energy enhancement under diverse environmental conditions[J]. Sustainable Energy Technologies and Assessments, 2025, 82: 104481.

[10]Huang J, Zhou X, Wu G, et al. Global climate impacts of land‐surface and atmospheric processes over the Tibetan Plateau[J]. Reviews of Geophysics, 2023, 61(3): e2022RG000771.

[11]Clough R, Fisher A, Gibson B, et al. Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials[J]. Journal of Analytical Atomic Spectrometry, 2023, 38(11): 2215-2279.

[12]Lin L, Zheng H, Luo Q, et al. Regulating lithium nucleation at the electrolyte/electrode interface in lithium metal batteries[J]. Advanced Functional Materials, 2024, 34(24): 2315201.

[13]Cheng P, An Y, Jen A K Y, et al. New nanophotonics approaches for enhancing the efficiency and stability of perovskite solar cells[J]. Advanced Materials, 2024, 36(17): 2309459.

[14]Mondal I, Jha I, Hossain S K A, et al. Variability of bio-optical properties of Sundarbans mangrove estuarine ecosystem using elemental analysis, Sentinel 3 OLCI imageries and neural network models[J]. Advances in Space Research, 2025, 75(2): 2028-2047.

[15]Lin L, Zhao Y. Optimizing Local Climate Zones to Mitigate Urban Heat Risk: A Multi-Models Coupled Approach in the Context of Urban Renewal[J]. Building and Environment, 2025: 113282.

[16]Liu C, Lu S, Tian J, et al. Research overview on urban heat islands driven by computational intelligence[J]. Land, 2024, 13(12): 2176.