MODEL OPTIMIZATION OF PHOTOVOLTAIC CELLS

A simple optimization of a crystalline silicon solar cell is performed using a one-dimensional finite element calculation, and a neural netw ork is subsequently trained to reproduce the data. The quality of this reproduction is discussed. Considering that translation of the origin al problem to run on a trained neural network permits a reduction of c alculation time by three to six orders of magnitude, the scope for con tinued work on and extension of this method appears appealing.