Wide bandgap top cells above 1.8 eV for reliable silicon-based tandem solar cells

The next generation of commercial solar cells must deliver a lower levelized cost of energy than the incumbent, crystalline silicon. Yet silicon solar cells set a formidable challenge, with degradation as low as 0.5 %/year and record efficiency exceeding 27 %. Success against silicon thus demands a challenging combination of performance and reliability, a combination that no other technology has met at scale. This raises an interesting possibility for solar cell designs that take maximal advantage of the strengths of silicon solar cells, rather than directly compete. In this contribution we theoretically assess a less commonly considered solar cell architecture: a non-current-matched, four-terminal tandem that pairs high efficiency silicon solar cells with wide-bandgap top-cell absorbers above 1.8 eV. This design shifts a majority share of power conversion to the silicon bottom cell and thereby expands the range of top-cell materials that can deliver tandem efficiencies above 30 % while simultaneously improving resilience to top-cell degradation. These advantages depend on high silicon efficiency, yet if this is the case, the top-cell absorber is freed from having to meet a demanding combination of optical bandgap, electronic quality and reliability. • c-Si/wide bandgap tandems maximally exploit silicon's performance and reliability. • This approach relaxes optical and electronic requirements on the top cell. • In doing so, we broaden range of suitable top cell materials. • With wide bandgap top cell, tandem output is more resilient to top cell degradation.

Authors

Publication Details

Journal
Solar Energy Materials and Solar Cells
Published
2025-08-08
DOI
https://doi.org/10.1016/j.solmat.2025.113880
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Wide bandgap top cells above 1.8 eV for reliable silicon-based tandem solar cells

Lachlan E. Black, Andrew Blakers, Daniel Macdonald, Daniel Walter et al.
Solar Energy Materials and Solar Cells
solar cell performance optimization
article

Wide bandgap top cells above 1.8 eV for reliable silicon-based tandem solar cells

Lachlan E. Black, Andrew Blakers, Daniel Macdonald, Daniel Walter, Thomas P. White
article en

Abstract

The next generation of commercial solar cells must deliver a lower levelized cost of energy than the incumbent, crystalline silicon. Yet silicon solar cells set a formidable challenge, with degradation as low as 0.5 %/year and record efficiency exceeding 27 %. Success against silicon thus demands a challenging combination of performance and reliability, a combination that no other technology has met at scale. This raises an interesting possibility for solar cell designs that take maximal advantage of the strengths of silicon solar cells, rather than directly compete. In this contribution we theoretically assess a less commonly considered solar cell architecture: a non-current-matched, four-terminal tandem that pairs high efficiency silicon solar cells with wide-bandgap top-cell absorbers above 1.8 eV. This design shifts a majority share of power conversion to the silicon bottom cell and thereby expands the range of top-cell materials that can deliver tandem efficiencies above 30 % while simultaneously improving resilience to top-cell degradation. These advantages depend on high silicon efficiency, yet if this is the case, the top-cell absorber is freed from having to meet a demanding combination of optical bandgap, electronic quality and reliability. • c-Si/wide bandgap tandems maximally exploit silicon's performance and reliability. • This approach relaxes optical and electronic requirements on the top cell. • In doing so, we broaden range of suitable top cell materials. • With wide bandgap top cell, tandem output is more resilient to top cell degradation.

Solar Energy Materials and Solar CellsVol. 293
Australian Centre for Advanced Photovoltaics
Affordable and clean energy
Openalex Percentile: Top 81%
solar cell performance optimization
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