California-based solar perovskites innovator Caelux is partnering with the University of New South Wales (UNSW) ACDC Research Group on the ARENA-funded project High-Throughput Inspection Methods for High-Efficiency Multijunction Solar Cells.
This solar cells project will improve the commercial readiness of solar PV technologies and enable the next generation of solar innovation.
The Artificial Intelligence, Characterisation, 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).
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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.
The 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.
This partnership with the ACDC team at UNSW will greatly enhance the rapid development of perovskite solar cells and, through machine learning techniques, the long-term reliability of this class of solar cells to rapidly approach silicon, the ubiquitous technology.
“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 characterisation 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 characterisation techniques is crucial for the translation from R&D labs to large-scale manufacturing.