Structure, thermal stability and optical simulation of ZrB2 based spectrally selective solar absorber coatings

Gao, Xiang‐Hu; Qiu, Xiao‐Yang; Li, Xiaoting; Theiß, W.; Chen, Baohui; Guo, Huixia; Zhou, Tianhong; Liu, Gang

doi:10.1016/j.solmat.2018.12.040

Cited by 47 publications

(24 citation statements)

References 24 publications

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“…based multilayer absorber coatings have been reported for CSP application. 17,22 Similar to TiB 2 and ZrB 2 , NbB 2 forms a hexagonal AlB 2 crystal structure (space group P6/mmm) with alternating layers of metal and graphite-like boron atoms. 28,29 The unit cell, consisting of two boron and one metal atom, gives rise to 11 electrons.…”

Section: Rationalizing Solar Selectivity By a Gradient In The Refractive Index Of Ss/nbb 2 /Nb(bno)/al 2 Omentioning

confidence: 99%

“…51,52 Al 2 O 3 is one of the widely used anti-reflection layers in spectrally selective absorber coatings. 17,23,31,52 Due to the considerable difference in the refractive indices between the absorbing layer and air, there will be a reflection loss at the interface. To minimize the top surface reflection loss, an appropriate dielectric coating, whose refractive index is close to that of air, must be deposited on the top.…”

Section: Rationalizing Solar Selectivity By a Gradient In The Refractive Index Of Ss/nbb 2 /Nb(bno)/al 2 Omentioning

confidence: 99%

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Probing the spectrally selective property of NbB₂‐based tandem absorber coating for concentrated solar power application

2021

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Solar selective coating with good thermal stability is the primary requirement for a concentrated solar power (CSP) plant to function with better photothermal efficiency. In recent years, ultra-high-temperature ceramic-based coatings have been explored as potential materials for solar selective coatings. In this context, NbB 2 /Nb(BN)/Al 2 O 3 tandem absorber coating was designed to be fabricated on a stainless-steel substrate by the radio frequency magnetron sputtering of spark plasma sintered ceramic target. In the bulk form, the NbB 2 ceramic exhibits high solar absorptance (α = 0.756) and thermal emissivity (ε = 0.43), whereas the amorphous single NbB 2 coating exhibits α/ε = 0.716/0.13. Reactive sputtering of NbB 2 in nitrogen produced a semi-transparent coating with an optical bandgap of ∼2.80 eV and was used as the secondary absorber layer. Raman and X-ray photoelectron spectroscopy analyses reveal mild oxygen incorporation in the absorber layers. The developed SS/NbB 2 /Nb(BNO)/Al 2 O 3 tandem absorber exhibits a good solar absorptance of 0.950 and a moderate thermal emissivity of 0.15 at room temperature. The coatings exhibited good thermal stability when heated in vacuum for 5 h up to 700 • C, and the selectivity (α/ε) remains above 6. The present work shows the possibility of exploring NbB 2 -based tandem absorber coatings for CSP applications.

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Section: Rationalizing Solar Selectivity By a Gradient In The Refractive Index Of Ss/nbb 2 /Nb(bno)/al 2 Omentioning

confidence: 99%

Section: Rationalizing Solar Selectivity By a Gradient In The Refractive Index Of Ss/nbb 2 /Nb(bno)/al 2 Omentioning

confidence: 99%

Probing the spectrally selective property of NbB₂‐based tandem absorber coating for concentrated solar power application

2021

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“…Gao et al reported a stainless steel/ZrB 2 /Al 2 O 3 SSA deposited by magnetron sputtering, exhibiting great spectral selectivity (

\overset{α}{true}

= 92%,

\overset{ε}{true}

= 11% at 82 °C) and decent thermal stability at 500 °C in vacuum. [ 98 ] Among semiconductors, amorphous Si is the first material that was used to construct SSAs with an

\overset{α}{true}

of ≈80% and an

\overset{ε}{true}

of ≈13% at 400 °C. [ 95 ] A Ge‐based multilayer semiconductor absorber that with a measured

\overset{α}{true}

of 76% and a low

\overset{ε}{true}

of 5% was presented by Thomas et al.…”

Section: Mechanism and Recent Progress Of Ssasmentioning

confidence: 99%

Spectrally Selective Absorbers/Emitters for Solar Steam Generation and Radiative Cooling‐Enabled Atmospheric Water Harvesting

Lin

Huang

et al. 2020

Global Challenges

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Renewable energy harvesting from the sun and outer space have aroused significant interest over the past decades due to their great potential in addressing the energy crisis. Furthermore, the harvested renewable energy has benefited another global challenge, water scarcity. Both solar steam generation and passive radiative cooling‐enabled atmospheric water harvesting are promising technologies that produce freshwater in green and sustainable ways. Spectral control is extremely important to achieve high efficiency in the two complementary systems based on absorbing/emitting light in a specific wavelength range. For this reason, a broad variety of solar absorbers and IR emitters with great spectral selectivity have been developed. Although operating in different spectral regions, solar selective absorbers and IR selective emitters share similar design strategies. At this stage, it is urgent and necessary to review their progress and figure out their common optical characteristics. Herein, the fundamental mechanisms and recent progress in solar selective absorbers and IR selective emitters are summarized, and their applications in water production are reported. This review aims to identify the importance of selective absorbers/emitters and inspire more research works on selective absorbers/emitters through the summary of advances and the establishment of the connection between solar absorbers and IR emitters.

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“…In recent decades, significant fundamental advances combined with the spectacular progress of nano-scale fabrication methods have led to a broad range of innovations in the design of optical thin-film. Many applications, such as broadband filter [1][2] [3], solar absorber [4][5] [6], and radiative cooling device [7] [8], increasingly rely on the intricate nanostructure design for greater performance at target wavelengths. Most of researchers make such designs based on human intelligence to solve a fundamental photonic problem: choosing the best combination of materials and nano-structure of a layered optical thin-film.…”

Section: Introductionmentioning

confidence: 99%

A Reinforcement Learning Method for Optical Thin-Film Design

Jiang

Chen

Yoshie

2022

IEICE Trans. Electron.

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Machine learning, especially deep learning, is dramatically changing the methods associated with optical thin-film inverse design. The vast majority of this research has focused on the parameter optimization (layer thickness, and structure size) of optical thin-films. A challenging problem that arises is an automated material search. In this work, we propose a new end-to-end algorithm for optical thin-film inverse design. This method combines the ability of unsupervised learning, reinforcement learning and includes a genetic algorithm to design an optical thin-film without any human intervention. Furthermore, with several concrete examples, we have shown how one can use this technique to optimize the spectra of a multi-layer solar absorber device.

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Structure, thermal stability and optical simulation of ZrB2 based spectrally selective solar absorber coatings

Cited by 47 publications

References 24 publications

Probing the spectrally selective property of NbB₂‐based tandem absorber coating for concentrated solar power application

Probing the spectrally selective property of NbB₂‐based tandem absorber coating for concentrated solar power application

Spectrally Selective Absorbers/Emitters for Solar Steam Generation and Radiative Cooling‐Enabled Atmospheric Water Harvesting

A Reinforcement Learning Method for Optical Thin-Film Design

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Structure, thermal stability and optical simulation of ZrB2 based spectrally selective solar absorber coatings

Cited by 47 publications

References 24 publications

Probing the spectrally selective property of NbB2‐based tandem absorber coating for concentrated solar power application

Probing the spectrally selective property of NbB2‐based tandem absorber coating for concentrated solar power application

Spectrally Selective Absorbers/Emitters for Solar Steam Generation and Radiative Cooling‐Enabled Atmospheric Water Harvesting

A Reinforcement Learning Method for Optical Thin-Film Design

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Resources

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Probing the spectrally selective property of NbB₂‐based tandem absorber coating for concentrated solar power application

Probing the spectrally selective property of NbB₂‐based tandem absorber coating for concentrated solar power application