Design of selectively multilayered periodic gratings by PSO algorithm for radiative cooling

Zhang, Zhijian; Dai, Yanjun; Ma, Chunyang

doi:10.1016/j.optcom.2021.127323

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Models that yield the level of detail needed for such calculations are comparatively rare [1,5,13]. One model, which has achieved almost universal use in recent radiative cooling literature, is the transmittance-based cosine approximation [1,[14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29], which was first used as part of a more comprehensive model by Granqvist in 1981 [1]. This model assumes that the irradiance of the atmosphere originates from greenhouse gases, including water vapor, carbon dioxide and ozone, and calculates the spectral, angular sky irradiance based on an effective spectral angular emittance as follows:…”

Section: Atmospheric Irradiance and The Transmittance-based Cosine Approximationmentioning

confidence: 99%

“…Since the irradiance from ozone and absorptance/emittance of SiO films have little overlap and the SiO film has a narrowband emittance, such a choice is justifiable in that context. However, the approximation has since been used to calculate the radiative cooling potentials of ideal emitters and cooling powers of radiative coolers with different spectral emittances, leading to both a systematic underestimation of cooling potential and a related overestimation of performance [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. The MODTRAN hemispherical emittance, which is more accurate, should ideally be used instead.…”

Section: Issues With the Transmittance-based Cosine Approximationmentioning

confidence: 99%

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Accurately Quantifying Clear-Sky Radiative Cooling Potentials: A Temperature Correction to the Transmittance-Based Approximation

Mandal

Raman

2021

Atmosphere

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Theoretical calculations of the cooling potential of radiative cooling materials are crucial for determining their cooling capability under different meteorological conditions and evaluating their performance. To facilitate these calculations, accurate models of long-wave infrared downwelling atmospheric irradiance are needed. However, the transmittance-based cosine approximation, which is widely used to determine radiative cooling potentials under clear sky conditions, does not account for the cooling potential arising from heat loss to the colder reaches of the atmosphere itself. Here, we show that use of the approximation can lead to >10% underestimation of the cooling potential relative to MODTRAN 6 outputs. We propose a temperature correction to the transmittance-based approximation, which accounts for heat loss to the cold upper atmosphere, and significantly reduces this underestimation, while retaining the advantages of the original model. In light of the widespread and continued use of the transmittance-based model, our results highlight an important source of potential errors in the calculation of clear sky radiative cooling potentials and a means to correct for them.

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Section: Atmospheric Irradiance and The Transmittance-based Cosine Approximationmentioning

confidence: 99%

Section: Issues With the Transmittance-based Cosine Approximationmentioning

confidence: 99%

Accurately Quantifying Clear-Sky Radiative Cooling Potentials: A Temperature Correction to the Transmittance-Based Approximation

Mandal

Raman

2021

Atmosphere

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“…[41][42][43][44][45][46] The machine learning is utilized to inversely design photonic crystal structures [47][48][49] and radiative coolers. [41,[50][51][52][53][54][55][56] Moreover the multilayer photonic device with microstructures has been demonstrated as highperforming radiative cooling devices. [7,21,51,[57][58][59] Therefore, the machine learning technology has the wide application prospects of designing the high-performing radiative cooling metamaterials.…”

Section: Introductionmentioning

confidence: 99%

Designing radiative cooling metamaterials for passive thermal management by particle swarm optimization

et al. 2023

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The passive radiative cooling technology shows a great potential application on reducing the enormous global energy consumption. The multilayer metamaterials could enhance the radiative cooling performance. However, it is a challenge to design the radiative cooler. In this work, based on the particle swarm optimization (PSO) evolutionary algorithm, we develop an intelligent workflow in designing photonic radiative cooling metamaterials. Specifically, we design two 10-layer SiO2 radiative coolers doped by cylindrical MgF2 or Air impurities, possessing high emissivity within the selective (8-13 µm) and broadband (8-25 µm) atmospheric transparency window, respectively. Our two kinds of coolers demonstrate power density as high as 119 W/m2 and 132 W/m2 at the room temperature (300 K). Our scheme does not rely on the usage of special materials, forming high-performing metamaterials with conventional poor-performing components. This significant improvement of the emission spectra proves the effectiveness of our inverse design algorithm in boosting the discovery of high-performing functional metamaterials.

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Double-step five-port grating with polarization independence

Huang

Wang

Huang

et al. 2022

Optik

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Design of selectively multilayered periodic gratings by PSO algorithm for radiative cooling

Cited by 6 publications

References 26 publications

Accurately Quantifying Clear-Sky Radiative Cooling Potentials: A Temperature Correction to the Transmittance-Based Approximation

Accurately Quantifying Clear-Sky Radiative Cooling Potentials: A Temperature Correction to the Transmittance-Based Approximation

Designing radiative cooling metamaterials for passive thermal management by particle swarm optimization

Double-step five-port grating with polarization independence

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