🚧 We're currently working on a new version of the loss estimation system that utilises fine-grained information of the thermal signature for a much higher accuracy.

Every thermal anomaly detected by Sitemark has an estimated loss associated to it. It's visible in the information overview of a specific anomaly, and in statistics mode.

Learn more about loss estimation in statistics mode

The loss estimation system was developed together with Imec* as part of the Analyst research project. A rule-based AI system was trained on monitoring system data from several sites to learn how the type of the anomaly and the temperature information influence the induced losses.

💡 Note that these losses are estimations based on the thermal signature of the anomaly. They're typically quite accurate relatively speaking, allowing you to prioritise anomalies with respect to each other. As the actual loss depends on a lot of factors (irradiance, air temperature, other panels in the string, etc.), they should not be used to predict accurate energy gains.

The table below shows some of the rules the system learned, sorted from highest loss to lowest loss.

Anomaly

Derivation

String

Open panel

Missing panel

Complete loss of panel production.

Hotspot

Loss is calculated based on delta temperature of the anomaly.

Multiple hotspot

Loss is calculated based on delta temperature of the anomaly.

Single bypassed substring

1 of 3 substrings not producing.

Double bypassed substring

2 of 3 substrings not producing

PID

Average rule due to high variability.

Potential PID

Average rule due to high variability.

Single diode

Average rule due to high variability.

Multi diode

Average rule due to high variability.

Thin film multi cross cell

Average rule due to high variability.

Thin film single cross cell

Average rule due to high variability.

Junction box

Average rule due to high variability.

❗️Losses are only calculated on panel level and do not factor in the effect that the anomaly will have on the rest of the string.

* IMEC: Interuniversity Micro-Electronics Center is an independent research center in the field of microelectronics, nanotechnology, artificial intelligence, design methods and technologies for ICT systems.

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