Tags: The University of Queensland, Australia, Energy & Environment, Construction & Smart Cities
In large scale PV farms, monitoring systems are mostly built into the inverter to prevent anomalies on the utility side and reporting the PV status. However it is extremely difficult to detect any malfunction in any string/module with inverter level monitoring. UQ's Solaris AI system enhances PV farm monitoring by providing real-time fault detection, identification, and location. It optimizes maintenance by predicting soiling levels, ensuring targeted cleaning. This technology is pivotal for improving efficiency in solar farms with industrial, commercial, and residential applications.
IP Type or Form Factor: Platform; Software & Algorithm
TRL: Not specified
Industry or Tech Area: Solar Energy; Infrastructure Maintenance