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RP1007: Intelligent Automated Monitoring of Commercial Photovoltaic (PV) Systems

Project leader name: 
A/Prof. Alistair Sproul, UNSW
Project status: 
Complete
Project period: 
02/2013 to 02/2014

Owners of commercial buildings with a PV system installed need to be able to answer two key questions:

  • “Is my PV system generating as much energy as it should?”.
  • “How can I reduce my electricity consumption?”

This project will develop intelligent algorithms using real time on-site weather, building and system inputs to automate the analysis of the electricity production and consumption. The monitoring solution developed in this project will monitor the energy generation of PV systems using energy modelling algorithms, and investigate integration into building management systems to provide a tool that monitors both energy generation and utilisation.

Publications related to this project

Peer Reviewed Research Publications
In this study, the outputs from a simple PV performance model were compared to measurements of AC power for three PV systems located across Sydney, Australia.
CRCLCL Project Reports

Rapid growth of distributed small scale Photovolatic (PV) systems has increased the need for tools that can undertake reliable real time monitoring of system performance with the capability to detect and diagnose underperformance at the earliest possible stage.

This project refined the...

CRCLCL Project Posters

Research Snapshot A3 size poster from Participants Annual Forum 2014

CRCLCL Project Posters

Research Snapshot A3 size poster from Participants Annual Forum 2014

CRCLCL Project Posters

Research Snapshot A3 size poster from Participants Annual Forum 2014