Spectrum-splitting photovoltaic system using bifacial cells for high energy yield
AffiliationUniv Arizona, Coll Opt Sci
Univ Arizona, Dept Elect & Comp Engn
MetadataShow full item record
PublisherSPIE-INT SOC OPTICAL ENGINEERING
CitationBenjamin D. Chrysler, Xuessen Tan, Jianbo Zhao, and Raymond K. Kostuk "Spectrum-splitting photovoltaic system using bifacial cells for high energy yield", Proc. SPIE 11121, New Concepts in Solar and Thermal Radiation Conversion II, 111210B (9 September 2019); https://doi.org/10.1117/12.2528049
Rights© 2019 SPIE
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractIn this paper a spectrum-splitting photovoltaic system is proposed that uses bifacial silicon solar cells to maximize total energy yield. The system is unique in its ability to convert direct sunlight with high-efficiency (<30%) while simultaneously converting diffuse and rear-side irradiance. A volume holographic lens array is used to divide the solar spectrum into spectral bands optimized for conversion by wide-bandgap and bifacial silicon solar cells. An approach for simulating the energy yield, optimizing the holographic lens array, and analyzing the effect of concentration ratio, aspect ratio, and illumination characteristics is described. Design examples for two different solar cell combinations are provided. A GaAs and bifacial silicon combination achieves an energy conversion efficiency of 32.0% and a MgCdTe and bifacial silicon combination achieves a 31.0% energy conversion efficiency. Additional solutions are provided when constraints on concentration ratio and aspect ratio are applied, allowing the designer to balance energy yield with cost and size considerations. The performance of the proposed system is compared to conventional monofacial silicon, bifacial silicon, and monofacial spectrum-splitting modules, and show that improvements in energy yield of over 45%, 25%, and 10% can be achieved, respectively.
VersionFinal published version
SponsorsNSF/DOE ERC [EEC-1041895]; National Science Foundation (NSF) [ECCS-1405619]; Graduate Research Fellowship Program National Science Foundation (NSF) [DGE-1143953]