Predicted annual energy yield of III-V/c-Si tandem solar cells: modelling the effect of changing spectrum on current-matching
Ian Mathews, Shenghui Lei, Ronan Frizzell

TL;DR
This study models how spectral variations throughout a year affect the current-matching and energy yield of III-V/c-Si tandem solar cells, showing that AM1.5G-based optimization remains effective despite spectral changes.
Contribution
It demonstrates that AM1.5G spectrum-based optimization can achieve high annual energy yields for tandem solar cells despite spectral variability.
Findings
Predicted annual energy yields up to 31% with 1.8 eV top cell.
Spectral variations cause minimal impact on optimized tandem cell performance.
AM1.5G-based optimization remains effective for mid-latitude US locations.
Abstract
High efficiencies of >30% are predicted for series-connected tandem solar cells when current-matching is achieved between the wide-bandgap top cell and silicon bottom cell. Sub-cells are typically optimised for current-matching based on the standard AM1.5G spectrum, but in practice, the incident radiation on a solar cell can be very different from this standard due to the effects of the sun's location in the sky, atmospheric conditions, total diffuse element etc. The resulting deviations in spectral content from optimum conditions lead to current mismatch between tandem cell layers that adversely affects the device's performance. To investigate the impact of this issue the energy yield (%) of tandem solar cells comprising a III-V wide-bandgap solar cell connected electrically and optically in series with a silicon bottom cell was simulated over a full year using measured spectral data…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
