← Latest papers
🔬 physics

Modeling efficiency penalties of narrow-bandgap perovskites in Si-based tandem solar cells: Incorporating luminescent coupling at non-ideal absorption

This study presents a detailed balance model incorporating luminescent coupling to demonstrate that narrow-bandgap perovskites (~1.57 eV) incur surprisingly small efficiency penalties in silicon-based tandem solar cells compared to optimal bandgap counterparts, suggesting their potential relevance is underestimated due to significant gains in stability and material savings.

Original authors: Rolf Brendel

Published 2026-08-20
📖 5 min read🧠 Deep dive

Original authors: Rolf Brendel

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Solar cells are the workhorses of the renewable energy transition, turning sunlight directly into electricity. For decades, scientists have known that a single layer of material cannot capture all the energy in sunlight efficiently; some colors of light pass right through, while others are absorbed too quickly, wasting their energy as heat. To solve this, researchers stack two different types of solar cells on top of each other, creating a tandem device. The top layer is designed to catch the high-energy, blue light, while letting the lower-energy, red light pass through to a silicon layer underneath to be harvested. This pairing has the potential to push solar efficiency far beyond what single-layer cells can achieve. However, finding the perfect material for that top layer is a delicate balancing act. If the top layer is tuned to absorb the wrong range of colors, it might generate too much electricity for the bottom layer to handle, or it might be too thick, making the device expensive and unstable.

A researcher at Leibniz University Hannover and the Institute for Solar Energy Research Hamelin has developed a new way to model these stacked cells to see if a slightly different material choice might actually be better than the current favorite. They focused on a specific type of material called a perovskite, which is a crystal structure that can be tuned to absorb different colors of light. While the scientific community has generally agreed that the ideal top layer should have a band gap of about 1.7 electron volts to maximize power, the researcher wanted to know what happens if the material is slightly different, with a band gap of 1.57 electron volts. This narrower gap means the material absorbs more of the solar spectrum, but it also creates a surplus of energy that needs to be managed. The key to their investigation was a phenomenon called luminescent coupling, a process where the top cell, after absorbing light, re-emits some of that energy as light that travels down into the bottom silicon cell to be used again.

Using a detailed computer model based on fundamental physics, the researcher simulated how these tandem cells behave under standard sunlight. They accounted for the thickness of the top layer and how light bounces and travels through the device, rather than relying on simplified assumptions that ignore these optical details. Their simulations revealed a surprising result: the efficiency penalty for using the narrower-gap material is much smaller than previously thought. When the top cell is tuned to the ideal 1.7 electron volts, the device reaches a peak efficiency of about 41.8 percent. When the top cell is made of the narrower-gap material, the efficiency drops to roughly 39.9 percent. This represents a relative loss of only about 5 percent. In the world of solar energy, where every fraction of a percent is fiercely contested, this is a remarkably small price to pay.

The reason this small loss is so significant lies in the thickness of the materials required. To reach that peak efficiency with the ideal 1.7 electron-volt material, the top layer needs to be quite thick, around 1500 nanometers. However, the researcher found that the narrower-gap material reaches its best performance at a thickness of just 733 nanometers. This means that by accepting a tiny drop in theoretical efficiency, manufacturers could cut the amount of material needed for the top cell by more than half. This reduction is not just about saving money on raw materials; it also speeds up the manufacturing process, as depositing thinner layers takes less time, and it reduces the amount of toxic lead contained in each square meter of the panel.

The study also explored how these findings hold up in different configurations. In a setup where the two cells are connected electrically in a single circuit, the 5 percent penalty remains consistent. However, if the cells are wired separately, allowing them to operate independently, the efficiency gap shrinks even further to just 2 percent. This suggests that the narrower-gap material is highly versatile. The researcher noted that while the ideal gap material is the theoretical maximum, the narrower-gap option offers a compelling trade-off. If the narrower-gap material proves to be more stable over time or cheaper to produce, it could ultimately deliver more electricity over the lifetime of a solar farm than the theoretically perfect but more fragile alternative.

By rigorously calculating how light moves and couples between the layers, this work challenges the assumption that the optimal band gap is the only path forward. It suggests that the narrow-gap perovskite, which has been somewhat overlooked in favor of the theoretical ideal, may be a more practical choice for real-world solar panels. The findings provide a data-driven way to weigh the trade-offs between raw efficiency and factors like stability, cost, and material usage. For the future of solar power, this means that the search for the perfect solar cell might not require chasing a single theoretical number, but rather finding the right balance between performance and practicality.

Drowning in papers in your field?

Get daily digests of the most novel papers matching your research keywords — with technical summaries, in your language.

Try Digest →