Project 51 · Energy / Solar

Solar Plant Performance Dashboard

Weather-Normalized Performance With Prioritized Alerts

Industry: Energy / Solar
Services: Data Integration Analytics Visualization
TRL: 3 → 8
Duration: 5 months
Technologies: Inverter APIs weather data performance-ratio analytics

Performance ratio dashboard with site / inverter / string rollup — Figure 1 — Performance-ratio dashboard rolling up from string to inverter to site.

Prioritized alert queue with probable-cause inference — Figure 2 — Prioritized alert queue surfacing probable cause for each fault.

Soiling event detected and resolved within 4 days — Figure 3 — End-to-end soiling event: detection, diagnosis, and recovery within four days.

Real-world Solar Plant Performance Dashboard deployment — Figure 4 — Real-world dashboard in use at an operating utility-scale solar plant.

Project background

Solar plant owners need to separate underperformance from simple bad weather. The client wanted a dashboard that answered 'is my plant performing as it should today?' clearly and quickly.

Challenge

Normalizing output against weather, seasonality, and equipment degradation, and presenting the result in a form non-specialist owners could interpret.

Approach & solution

We integrated inverter data and weather feeds to compute expected vs. actual performance ratios. Strings, inverters, and sites roll up consistently, and deviations trigger prioritized alerts with likely causes attached.

Results & benefits

Owners now catch soiling, shading, and equipment faults quickly rather than on monthly bill review. Several pilot sites recovered meaningful output within the first months after deployment.

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