The project, titled “On-site power measurements and enhanced scanning technology to improve quality control and lifecycle of solar panels,” has a total value of $855,000, with 49% of the funding provided through the Go-Green Co-Innovation Program (GGCIP). The initiative will pilot cutting-edge tools for on-site performance evaluation and automated inspection of PV modules, strengthening the long-term reliability of solar energy assets.
Through this project, PV Lab Australia aims to generate accurate performance data and identify new degradation mechanisms in emerging PV technologies.
Singapore-based partner company Quantified Energy will be supporting with their innovative drone coupled electroluminescence (EL) inspection technology to acquire field data.
Canberra-based company AQACIA will be supporting PV Lab through the development of an integrated machine learning solution for performance prediction within PV Lab’s existing cloud-based diagnostic platform.
The insights will help lower O&M costs, reduce the levelised cost of energy (LCOE), and enhance the reliability and profitability of solar assets through an early fault detection.
The project will also advance robotics and ML capabilities, supporting future innovation in solar diagnostics and asset management.
This new research initiative represents a significant step toward advancing solar technology and sustainability in the Asia-Pacific region, combining PV Lab Australia’s deep expertise in PV quality assurance with Quantified Energy’s cutting-edge solar analytics and field technology solutions, as well as AI/ML capability from AQACIA.
Together, the consortium aims to promote cross-border innovations that support both nations’ net-zero ambitions.
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