Spectral classification of worldwide locations using SMR indexes | Zendy

Rubén Núñez | Zendy; Chen Jin | Zendy; Ignacio Antón | Zendy; Gabriel Sala | Zendy

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Spectral classification of worldwide locations using SMR indexes

Author(s) -

Rubén Núñez,

Chen Jin,

Ignacio Antón,

Gabriel Sala

Publication year - 2016

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4962113

Subject(s) - irradiance , aeronet , remote sensing , sun photometer , solar irradiance , photovoltaic system , spectral analysis , environmental science , computer science , meteorology , geography , optics , physics , engineering , aerosol , astronomy , electrical engineering , lidar , spectroscopy

Spectral variation of solar irradiance can be analyzed by the means of component cells, being useful for multi junction (MJ) and concentrator photovoltaics (CPV) characterization by the use of component cells derived spectral indexes, namely, spectral matching ratios (SMRs). When enough spectral data is available, a location can be also characterized and a MJ solar cell can be locally tuned. The AERONET network of ground-based sun photometers is employed to obtain the atmosphere parameters for 34 sites worldwide. To conclude, the SMR indexes are obtained for every location, and a comparative analysis is completed for four architectures of MJ solar cells technologies (two lattice match and two metamorphic). Based on this information, some cluster of locations that share similar spectral features arise

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