Caelux partners with University of New South Wales on improving perovskite solar characterization and inspection methods

Caelux has announced its partnership with the University of New South Wales (UNSW, Sydney, Australia) ACDC Research Group on the ARENA-funded project, 'High-Throughput Inspection Methods for High-Efficiency Multijunction Solar Cells.' This solar cells project will aim to improve the commercial readiness of solar PV technologies and enable the next generation of solar innovation.

The Artificial Intelligence, Characterization, Defects, and Contacts (ACDC) Research Group at the University of New South Wales (UNSW) is a leader in photovoltaic luminescence imaging and applied machine learning (ML). This project aims to develop novel, contactless methods to characterize perovskite solar cells during process development and inline manufacturing, which will improve production yields and device performance, while taking into consideration the differences between silicon and perovskites. This collaboration will also undertake commercialization activities including: testing the techniques on pilot production lines and techno-economic analysis of the potential market for the developed inspection tools.


"We are delighted to partner with the ACDC Research Group on this revolutionary solar cell project," said Scott Graybeal, CEO of Caelux. "Together, we are looking forward to accelerating the commercial development and long-term reliability of perovskite solar cells. We are excited to team up with leaders in the PV and luminescence imaging space to bring our ideas to life."

"We are thrilled to collaborate with Caelux on this pivotal project. Caelux and its visionary leadership team have conceived an innovative product poised to redefine the photovoltaic (PV) industry," said Professor Ziv Hameiri, Principal Investigator at University of New South Wales. "We are honored to join forces with them to refine this groundbreaking product and accelerate the commercialization of perovskite solar cells, with a focus on pioneering characterization and machine learning techniques to improve their long-term durability and reliability."

The appropriate interpretation of luminescence images requires consideration of the excitation conditions, measurement calibration, and complex photo-physics including photon reabsorption and recycling, waveguide effects, ion migration, varying phases, and phase segregation. The development of new perovskite characterization techniques is crucial for the translation from R&D labs to large-scale manufacturing.

In August 2023, Caelux secured $12 million for tandem solar glass facility.

Posted: Sep 20,2023 by Roni Peleg