Evolutionary Computational Optimization of Light Absorption in Photovoltaic Devices
Eliad Peretz1,2, Rees Chang1, Larry Hess2, Tobias Hanrath1
1Cornell University, Ithaca, NY, United States
/2NASA, Greenbelt, MD, United States

This work provides a framework for the future development of software tools that intend to achieve an in-silico feedback system to assist with design processes of PV modules. We developed an algorithm that evolves a device architecture, can do so for a chosen physics simulator (COMSOL, MEEP etc.) and optimizes its property. In this work we focused on light absorption maximization as well as thickness and material volume minimization by the introduction of cavities to the absorbing medium. We have shown computationally an 8x absorption increase could be achieved for 100 nm thick device and shown that such software can provide the desired feedback for a wide verity of PV modules.

Area: Sub-Area 1.3: Advanced Light Management and Spectral Shaping