Underperformance detection in large-scale solar farms is a major challenge. Solar F2D2 has been developed at UQ to provide prompt detection, location and identification of underperformance in solar farms.

One of the main features of Solar F2D2 is that it relies on data that is readily available in solar farms and does not require any additional dedicated hardware.

Industry Collaborators: Weidmuller Australia
Other Collaborators: ARENA, UniQuest

Project members

Associate Professor Rahul Sharma

Associate Professor
School of Electrical Engineering and Computer Science

Professor Tapan Saha

Professor
School of Electrical Engineering and Computer Science