Improving Industrial Solar Cell Fabrication using Neural Networks and Genetic Algorithms

The present thesis approaches the improvement of the performance metrics of industrially fabricated solar cells. It aims to develop an optimization method that uses machine learning to identify an improved configuration of solar cell production lines. Conventional methods for process improvement rely on modelling experimental data to improve a...

Development of Cell to System Annual Energy Yield Toolbox for Bifacial Modules

Accurate Annual Energy Yield (AEY) predictions can mean important savings due to optimization of energy generation for both particular and utility scale PV systems. <br/>However, currently available commercial models fall short to faithfully reproduce complex designs, specially involving bifacial modules, where albedo gains are relevant. <br/...