Why Your Solar Farm’s Performance Data Might Be Lying to You
The numbers don’t lie, right? Your monitoring system or SCADA (Supervisory Control and Data Acquisition) is telling you exactly what’s going on at the solar farm. The farm is delivering power to the grid, and revenue is coming in. You’re reaching maximum solar farm efficiency; or at least you think so. While those numbers aren’t necessarily lying to you, they are not presenting the complete picture. It’s highly likely that many of your assets are underperforming, meaning lost revenue and affecting long-term operations.
The real risk isn’t what your SCADA system shows — it’s what it doesn’t. Undetected faults compound silently until they hit output, budgets, and long-term performance.
The Baseline May Not Be the Real Baseline
Were the performance metrics accurate from day one? Expected output is based on weather patterns, site locations, and the hardware and software itself.
Perhaps parts of the installation were done incorrectly; a loose screw connecting the string from one set of solar arrays to another may mean the power generated is never transmitted to the battery supply. It’s possible that a damaged inverter is preventing the power from hundreds of panels reaching the grid.
Potential solar panel faults abound. Maybe a panel was damaged during installation or is misaligned, not collecting its share of sunshine. Some components may have been damaged at the factory, and no one noticed. For example, a cell might be dead, a faulty bypass diode may have been missed, or a microcrack in a cell may never have been noticed.
Nature itself may have changed from the initial “as designed” to the “as built” plan. A small sapling no one noticed may have grown into a small tree, blocking sunlight. The possible faults are myriad.
So, even if your farm has been operating at baseline levels, it still may be underperforming.
Don’t Excuse the Dips
When performance does dip, it may not be the weather. The undetected issues at baseline may have built up to become problems today. While the weather is to blame somewhat when those microcracks get worse due to rain turning to ice and back again, it’s the crack that’s the real issue. It’s especially dangerous if that crack or a hotspot leads to a fire. Similarly, dirt buildup may be hiding a dead cell.
A power surge at the solar farm may lead to damaged components or components that no longer operate at maximum efficiency. Without a clear picture of what’s going on with the site’s hardware, it’s hard to know exactly why the farm isn’t achieving maximum output. These are not “one and done” problems. They are often cyclical and can only be caught through frequent, detailed inspections that go beyond simple data monitoring.
Going from Baseline to Long-term Operational Efficiency
How do you know what’s really going on at the farm from day one? The answer: initial solar panel inspection followed by continuous solar panels monitoring. Be proactive with solar farm maintenance from day one instead of reactive when the faults become too great to ignore and far more expensive to fix.
Proactive, automated, drone-based solar farm inspection (or UAV solar inspection) is key to understanding and managing solar farm maintenance and solar panels optimization for the short- and long- term. Drones outfitted with thermal and high-resolution RBG cameras can quickly scan the entire solar farm in a single flight.
The results of the scan are high-resolution images that reveal most of the site’s faults.
- Thermal anomalies, such as “hot” components and hotspots
- Soiling and shading
- Panel damage, including micro-cracks, broken glass, and any delamination
These images can be transformed into a digital twin, allowing for not only in-depth inspection but also maintenance planning and long-term infrastructure changes that can extend the life of the farm.
The digital twin itself becomes a single source of truth, allowing for in-depth analysis of the existing performance numbers, making it much easier to identify the root causes of inaccurate performance.
Beyond visibility, platforms like vHive’s digital twins integrate inspection-derived data directly into O&M and SCADA environments via API, helping teams move from detection to action without manual data handling.
Complete Visibility Is the Path Forward
Once every component that needs to be repaired or replaced has been attended to, and everything is finally working as it should, it’s time to go back to the farm for ongoing solar panels performance monitoring. The more frequently you perform solar panels drone inspection, the faster you’ll achieve solar panels optimization and the faster you’ll be maximizing revenue.
Industry benchmarks back this up: underperforming PV equipment cost operators an average of $5,720 per MW in lost revenue in 2024, according to this research (pv-magazine USA). For a 100 MW farm, that translates into more than half a million dollars annually if issues go undetected.
Ready to get a single source of truth? Ready to focus on the future? Learn how vHive’s automated solar inspection solution can maximize both performance and the bottom line.
