Enhanced Solar CellsValerie Ding, USA Finalist, 15-16
Quantum dot (QD) solar cells are theoretically twice as efficient as conventional solar cells, but state-of-the-art research QD cell efficiency is very low. Significant, rapid optimization is urgently needed.
A novel research method is proposed and demonstrated using PbSe QDs, combining quantum mechanical absorption coefficients and solar irradiance. Cloud computing and Python programming is used to implement the novel algorithm for each QD configuration. The model was validated against published experiments.
Results indicate that QD performance highly depends on shape and size, and optimal peak QD conditions are identified. This method will enable rapid optimization of QDs for solar applications.