How long did the full fleet deployment take?

The pilot (3 sites) took 8 weeks. Full fleet rollout (200+ sites) was completed in approximately 6 months, deploying in batches of 20-30 sites. Each batch took 2-3 weeks from start to live monitoring. The total timeline from project initiation to full fleet coverage was approximately 8 months.

Does this solution work with any inverter brand?

Yes — Ignition Edge connects to inverters via standard industrial protocols (Modbus TCP, SunSpec, proprietary APIs where available). The solution has been deployed across sites with inverters from all major manufacturers. Adding support for a new inverter brand requires protocol configuration in Ignition Edge, not platform development.

What happens if a site loses internet connectivity?

Ignition Edge buffers data locally at the site during connectivity interruptions and automatically synchronises with FactoLake when connectivity is restored. No data is lost during outages — the local buffer retains up to 30 days of data depending on configuration. Real-time monitoring is interrupted during the outage, but historical data is complete.

Can this approach work for wind farms or other renewable energy assets?

The architecture — edge standardisation, cloud data unification, analytics layer — is asset-agnostic. FactoLake and FactoIQ are designed for industrial data from any equipment type. Wind turbine monitoring, battery storage analytics, and hybrid plant optimisation are all supported with the same platform, configured for different equipment data models.

What's the ongoing cost structure after deployment?

Ongoing costs include: FactoLake and FactoIQ platform licensing (per-site or portfolio-level pricing), Azure cloud infrastructure costs (scaling with data volume and retention), Ignition Edge licensing per site, and annual support and model maintenance. Contact LeanQubit for portfolio-specific pricing.

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Home/Case Studies/How a Global Solar Manufacturer Unified 200+ Plant Sites into One AI-Powered Analytics Platform

How a Global Solar Manufacturer Unified 200+ Plant Sites into One AI-Powered Analytics Platform

A major solar panel manufacturer and operator with a worldwide portfolio partnered with LeanQubit to unify heterogeneous data from 200+ utility-scale sites into a single cloud-native platform — enabling predictive maintenance, real-time performance monitoring, and fleet-wide efficiency gains.

Team LeanQubitWriter

July 14, 2026 12 min read

How a Global Solar Manufacturer Unified 200+ Plant Sites into One AI-Powered Analytics Platform

Team LeanQubit

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Written by Team LeanQubit, Writer at LeanQubit.ai.

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