SynaptiQ’s embedded expected yield model simulates each PV plant from array to inverter up to grid connection. The simulation is realised by taking into account component data sheet specifications, the detailed system design parameters and actual meteorological data. In this way, we provide a full independent reference of expected system behaviour for benchmarking string and inverter yields up to portfolio KPI’s. This method allows SynaptiQ users to identify underperformances beyond the classical monitoring approach.
Yield variations over time, especially during winter months, are difficult to attribute to failures. Even monthly performance ratio variations can’t be directly linked to underperformance, since performance ratio’s are impacted by temperature and low irradiance levels. Comparing the expected performance ratio, as calculated by the SynaptiQ expected yield model, versus the measured performance ratio however allows to exclude these effects.
The example below originated from a large portfolio of commercial rooftop solar plants for which the O&M uses SynaptiQ to steer operations effectively. Trending actual performance ratios against expected performance ratios allows to identify plant degradations. The graph plots 2 years of expected performance ratios versus actual inverter performance ratios. One can clearly identify winter degradation beyond the expected yield in 2015 and see the issue worsening even further in 2016. In this case growing vegetation at the horizon of the PV plant was the root cause of the underperformance.
SynaptiQ’s independent reference model allowed the operator to identify the root cause, calculate the lost production due to the issue and negotiate with the rooftop owner on corrective measures, based on facts.
If you are interested in a more detailed assessment of the added value of SynaptiQ advanced performance monitoring approach, you can request our white paper here.
