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Multibandgap quantum dot ensembles for solar-matched infrared energy harvesting

As crystalline silicon solar cells approach in efficiency their theoretical limit, strategies are being developed to achieve efficient infrared energy harvesting to augment silicon using solar photons from beyond its 1100 nm absorption edge. Herein we report a strategy that uses multi-bandgap lead s...

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Detalles Bibliográficos
Autores principales: Sun, Bin, Ouellette, Olivier, García de Arquer, F. Pelayo, Voznyy, Oleksandr, Kim, Younghoon, Wei, Mingyang, Proppe, Andrew H., Saidaminov, Makhsud I., Xu, Jixian, Liu, Mengxia, Li, Peicheng, Fan, James Z., Jo, Jea Woong, Tan, Hairen, Tan, Furui, Hoogland, Sjoerd, Lu, Zheng Hong, Kelley, Shana O., Sargent, Edward H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167381/
https://www.ncbi.nlm.nih.gov/pubmed/30275457
http://dx.doi.org/10.1038/s41467-018-06342-7
Descripción
Sumario:As crystalline silicon solar cells approach in efficiency their theoretical limit, strategies are being developed to achieve efficient infrared energy harvesting to augment silicon using solar photons from beyond its 1100 nm absorption edge. Herein we report a strategy that uses multi-bandgap lead sulfide colloidal quantum dot (CQD) ensembles to maximize short-circuit current and open-circuit voltage simultaneously. We engineer the density of states to achieve simultaneously a large quasi-Fermi level splitting and a tailored optical response that matches the infrared solar spectrum. We shape the density of states by selectively introducing larger-bandgap CQDs within a smaller-bandgap CQD population, achieving a 40 meV increase in open-circuit voltage. The near-unity internal quantum efficiency in the optimized multi-bandgap CQD ensemble yielded a maximized photocurrent of 3.7 ± 0.2 mA cm(−2). This provides a record for silicon-filtered power conversion efficiency equal to one power point, a 25% (relative) improvement compared to the best previously-reported results.