⚠️ Statistics Mode is only available to data products that contain analytics
Before we get started using the statistics mode we need to make sure you have defined regions for your site. Click on the Manage Site Regions button in the top right corner. (See picture below).
On the left side of the statistics page you will find the different graphs that are available. Once you click on one of these graphs you will get a detailed view per region.
If you want to get the most out of the loss estimation table make sure to complete at least the following site properties:
- Feed in tariff
- Photovoltaic power potential (PVOUT)
- Panel Maximum Power (Pmax)
The loss estimation helps you understand what regions of your site are underperforming. You can see how many anomalies you have per region. If you are using the same regions as your monitoring system you can for example cross check the MWh/year losses individually.
The Loss estimation for a panel is calculated in the following way
(% Panel loss * Panel Maximum Power) * Photovoltaic power potential
On the bottom of the graph you can see the photovoltaic power potential (PVOUT) used to calculate the MWh/year loss together with the constants used to convert the MWh/year to CO2 loss and Financial loss.
The CO2 is calculated using an worldwide average coming from the Organisation for Economic Co-operation and Development
If you are curious to know what it is in your country have a look at the link below
The anomalies graph shows you how many issues you have for every category of anomaly we classify. This allows you to better understand what the most significant problems are on your site. You can also compare different inverter regions to check if certain issues relate to specific areas of your site.
Want to learn more about the different anomaly types?
Anomaly causes represent an important part of better understanding what is happening on your site. Once you understand where and what is causing problems it's much easier to act on them. Causes will tell you if you need to replace your panel or if it's just cutting the vegetation.
Want to learn more about the different Causes?
Severity distribution allows you to have a quick overview of how significant the problems are in the different regions.
Mild - Issues which require no immediate action. Essential to monitor over time. (E.g. hotspots with a delta <5ºC)
Serious - Panels that show issues and should be replaced during the next maintenance. (E.g. Single bypass substring)
Critical - Panels generating significant loss and should be acted upon as soon as possible. (E.g. String Issues)
Want to learn more about the different severities?
(Multi) Hotspot Delta
This graph shows you how critical your hotspot/multi hotspot issues are. Hotspots below 5ºC do not represent a significant loss and can be monitored over time. Hotspots of more than 20ºC should be replaced as soon as possible as they represent high energy losses and can in some instances lead to full string failures and are a significant fire hazard.
Why is the total number of anomalies on the left is not equal to the total number in the view per region?
Make sure that all regions are precisely drawn. If an anomaly is in multiple regions it will be counted in both of these regions and will count twice in the total of all the regions.