Performance prediction and fault diagnosis in photovoltaic systems for optimal energy management

In this project, we will develop software-based models to monitor and to predict the performance of Perovskites-based
PVBlindsTM for optimal energy management and optimal integration into buildings, as well as to diagnose faults of PV cells for
safe, efficient, and reliable operation. The PVBlindsTM are developed by Solaires Inc. and will be deployed at various locations
within the Greater Vancouver area, and in various types of buildings. To develop the software-based models, machine learning
approaches will be studied and implemented.

Translucent photovoltaic blinds: a novel solution for solar energy harvesting using perovskite

Climate change has been a top concern of Canadians for the past several years. Canada is among 3 top global CO2 emitters per capita. Our goal is to develop and commercialize a viable solar energy harvesting system to help Canada decarbonize its economy.
Amorphous silicon has the most mature technology in the photovoltaic market. Silicon solar cells are mostly used in solar farms or installed on roofs.