Monitoring platform
Many factors can affect the power yield of the system during its lifetime, some of them include: soiling of the modules, module degradation (photovoltaic modules lose efficiency over time and produce less electricity), inverter efficiency, system components’ faults.
Even a single faulty PV module can substantially affect the whole string of modules and if not treated, cause more damage to the system and other components.
Good inverters have protection mechanisms in place, to limit the possibility of self-damage, but those mechanisms work in a way which reduces the power output.
Technologies used
Direct integration with inverters
Data from satellite imagery updated daily, validated and corrected to meet high certainty requirements by our team of experts.
Highly accurate simulation models
The models used for simulating energy yield are implemented by NREL. The methodology used for data processing is recommended by NREL and IRENA.
Automated data processing pipeline
Weather data, inverter data and other sources are processed in a multi-step process to calculate a set of metrics which are visualized on several dashboards.
Cloud-based solution
Access the platform from every device connected to the internet. Always available and unlimited data processing power.
On request
Per MWp
- Early fault detection
- Automated alerting
- Compare actual vs optimal power yield
- System metrics
Custom
SOLUTIION
- Detailed reports prepared by an expert
- Independent assessment study
- Troubleshooting
- Acceptance tests
Why SolarData?
Early fault detection
Automatic fault detection by comparing actual vs optimal energy yield.
Automated alerting
Automated alerting based on customizable conditions
98% certainty
Superior certainty achieved by a combination of data sources.
System metrics
Soiling, Temperature degradation, Inverter efficiency, PV module efficiency, Performance ratio, deviation from nominal operation, self-sufficiency, energy flow metrics and others.
Compare actual vs optimal power yield
Evaluate performance of the system compared to optimal working conditions.
References
E-Mail:
contact@solardata.net
Phone:
+389 78 278 775;
+389 77 709 812