PV Cleaning Recommendation Example
Example output from the PV Energy Recovery Platform showing how image inspection, historical performance data and cleaning history can be converted into an actionable energy recovery recommendation.
Performance Loss
11%
Last Cleaning
42 days ago
Soiling Risk
High
Evidence Inputs Used
This example recommendation is generated by combining two separate PV Energy Recovery modules.
1. Image Inspection Module
Uses AI-based visual inspection to identify panel-level soiling indicators, surface degradation risk and cleaning-priority areas from uploaded PV images.
2. Operational Analytics Module
Uses historical PV generation, cleaning history and performance trends to detect an estimated 11% performance loss and 42 days since last cleaning.
AI Assessment
The platform detects a sustained performance drop compared to the expected generation baseline and correlates it with cleaning history and high soiling risk.
Cleaning Priority
HIGH
Recommended Action
Schedule cleaning for the affected PV arrays within the next operational window.
- Clean high-loss string groups first
- Prioritize areas with visible soiling indicators
- Re-check generation performance within 48 hours
Estimated Energy Recovery
+9.5%
Additional Energy
4,800 kWh/month
Estimated Impact
₹38,000/month