1 min readTeam Finds Way to Make Solar Cells Thin, Efficient and Flexible
Orlando, FL – Converting sunshine into electricity is not difficult, but doing so efficiently and on a large scale is one of the reasons why people still rely on the electric grid and not a national solar cell network.
But a team of researchers from the University of Illinois at Urbana-Champaign and the University of Central Florida in Orlando may be one step closer to tapping into the full potential of solar cells. The team found a way to create large sheets of nanotextured, silicon micro-cell arrays that hold the promise of making solar cells lightweight, more efficient, bendable and easy to mass produce.
The team used a light-trapping scheme based on a nanoimprinting technique where a polymeric stamp mechanically emboss the nano-scale pattern on to the solar cell without involving further complex lithographic steps. This approach has led to the flexibility researchers have been searching for, making the design ideal for mass manufacturing, said UCF assistant professor Debashis Chanda, lead researcher of the study.
The study’s findings are the subject of the November cover story of the journal Advanced Energy Materials.
Previously, scientists had suggested designs that showed greater absorption rates of sunlight, but how efficiently that sunlight was converted into electrical energy was unclear, Debashis said. This study demonstrates that the light-trapping scheme offers higher electrical efficiency in a lightweight, flexible module.
The team believes this technology could someday lead to solar-powered homes fuelled by cells that are reliable and provide stored energy for hours without interruption.
Publication: Light Trapping: Light Trapping in Ultrathin Monocrystalline Silicon Solar Cells (Adv. Energy Mater. 11/2013). Ki Jun Yu, Li Gao, Jae Suk Park, Yu Ri Lee, Christopher J. Corcoran, Ralph G. Nuzzo, Debashis Chanda, John A. Rogers. Advanced Energy Materials (2013): http://onlinelibrary.wiley.com/doi/10.1002/aenm.201370046/abstract;jsessionid=4256B44D45EFE374A0A4434C7D73CD71.f01t04