Extracting optical parameters of Cu-Mn-Fe spinel oxide nanoparticles for optimizing air-stable, high-efficiency solar selective coatings
Xiaoxin Wang, Can Xu, and Jifeng Liu

TL;DR
This paper develops a method to extract optical parameters of Cu-Mn-Fe spinel oxide nanoparticles, enabling the design of high-efficiency, air-stable solar selective coatings with optimized optical properties for high-temperature applications.
Contribution
A novel inverse problem-solving approach based on four-flux-radiative method to evaluate absorption spectra of nanoparticle coatings, aiding in optimization and analysis of solar selective materials.
Findings
Cu-Mn-Fe spinel oxides are indirect bandgap materials with 1.7-2.1 eV.
Iron-free CuMn2O4 exhibits a direct bandgap of 1.84 eV.
Optimized CuMn2O4 coating achieves 97% solar absorptance and 93.5% energy conversion efficiency.
Abstract
High-temperature Cu-Mn-Fe spinel-oxide nanoparticle solar selective absorber coatings are investigated experimentally and theoretically. A reliable, general approach to evaluate absorption coefficient spectra from the optical measurements of the nanoparticle-pigmented coatings is developed based on solving the inverse problem using four-flux-radiative method. The derived absorption properties of NP materials can be directly applied to predict the solar absorptance, optimize the nanoparticle-pigmented coatings, and analyze the thermal degradation, which agree well with the experimental results. The analysis reveals that the Cu-Mn-Fe spinel oxides are fundamentally indirect bandgap ranging from 1.7 to 2.1 eV, while iron-free CuMn2O4 is a direct bandgap material with Eg=1.84 eV. With the same coating thickness and nanoparticle load, the solar absorptance ranks in the order of Mn2O3 <…
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Taxonomy
TopicsSolar Thermal and Photovoltaic Systems · Photovoltaic System Optimization Techniques · solar cell performance optimization
