Abstract

In this work, we revisit the theoretical study on the conversion efficiency of series-connected multijunction solar cells. The theoretical method, based on the detailed balance model, is then applied to devices with 2 to 6 junctions under different illumination conditions. As results, (i) we show that the peaks in the efficiency distribution occur for recurrent values of bottom junction bandgap energy corresponding to atmospheric absorption in the solar spectrum, and (ii) we demonstrate that variations in the number of junctions, in the incident solar spectrum, and in the concentration factor lead to changes in the optimum bandgap energy set but that the bottom junction bandgap energy only changes among the recurrent values presented before. Additionally, we highlight that high conversion efficiencies take place for a broad distribution of bandgap energy combination, which make the choice of materials for the device more flexible. Therefore, based on the overall results, we propose more than a hundred III-V, II-VI and IV semiconductor material candidates to compose the bottom junction of highly efficient devices.

Highlights

  • The invariance of the EGJ1 values leading to the multiple efficiency peaks for terrestrial solar spectra in several MJSC configurations motivates the indication of materials to compose the bottom junction

  • We have shown that the bandgap energy combinations leading to high efficiencies in optically and electrically series-connected MJSC are abundant

  • For the AM0 spectrum, the efficiency shows a single peak on the bandgap energy domain whereas for terrestrial spectra a multi-peak distribution is observed

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Summary

Introduction

The invariance of the EGJ1 values leading to the multiple efficiency peaks for terrestrial solar spectra in several MJSC configurations motivates the indication of materials to compose the bottom junction. We have shown that the bandgap energy combinations leading to high efficiencies in optically and electrically series-connected MJSC are abundant.

Results
Conclusion

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