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Performance enhancing solar energy absorber with structure optimization and absorption prediction with KNN regressor model

Ammar Armghan, Mya Mya Htay, Meshari Alsharari, Khaled Aliqab, Jaymit Surve, Shobhit K. Patel

2023Alexandria Engineering Journal24 citationsDOIOpen Access PDF

Abstract

We used the honeycomb resonator structure and explored its absorptance response in the visible, ultraviolet, to mid-infrared regions. In this solar spectrum range, the average absorption is greater than 90%. In addition, the spectral absorption is 97.69%, 96.35%, 94.45%, and 96.11% in the respective solar spectrum regions, respectively. In this work, we observed the highest absorption response of the solar spectrum. Further, the KNN regressor model is employed for behavior prediction of the proposed absorber structure and results indicate this model highly predicts the absorption values for lower K values. This proposed model due to its ideal characteristics can be employed for a vast range of applications including performance improvement of solar cells, thermophotovoltaics, and many more.

Topics & Concepts

ThermophotovoltaicAbsorption (acoustics)AbsorptanceMaterials scienceRange (aeronautics)Solar energyUltravioletOpticsReflectivityRemote sensingEnvironmental scienceComputational physicsOptoelectronicsPhysicsComposite materialEngineeringGeologyCommon emitterElectrical engineeringsolar cell performance optimizationThermal Radiation and Cooling TechnologiesSolar Thermal and Photovoltaic Systems
Performance enhancing solar energy absorber with structure optimization and absorption prediction with KNN regressor model | Litcius