Fraunhofer IFF Advances AI Sensor System for Solar Plant Monitoring
Fraunhofer IFF is collaborating with BEIA Consult International and INELSO to develop an AI-driven sensor system for monitoring large solar power plants. This initiative, under the ZeroDefect4PV project, aims to enhance the reliability and efficiency of photovoltaic systems by enabling module-level monitoring and predictive maintenance.
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The ZeroDefect4PV project, funded by the Federal Ministry for Economic Affairs and Climate Action, aims to develop an advanced sensor system for large photovoltaic installations, running from February 2024 to April 2026. The project addresses limitations of current monitoring systems that operate primarily at the string or inverter level, often missing faults at individual modules.
The new system utilizes sensors mounted on each module to collect real-time data on voltage, current, and temperature, analyzed by AI for precise fault localization. Pilot testing is underway at Fraunhofer IFF's facility and in field trials in Türkiye and Romania. This technology could significantly reduce energy losses and optimize the maintenance of solar power plants, aligning with the shift towards renewable energy.
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