Wind Farms at Scale: Predictive O&M in a Multi‑Asset Metaverse

“Turbine 17 is sulking again,” joked Freya as a gust rattled the van. The twin showed a faint harmonics signature a week early; HAL8122™, BizzTech’s Agentic AI, packaged a kit list and two‑tech crew. “Dispatch before it sulks louder,” Freya said, turning the key.

An offshore operator manages hundreds of turbines with scarce technicians and unforgiving weather.

How it Works: The twin unifies SCADA, CMMS, drones and vibration spectra. HAL spots emergent patterns, groups work by weather window and vessel route, and simulates safety steps for transfers and climbs. In‑twin rehearsal reduces on‑tower time; VR checklists keep hands in gloves, not on paper. Spares logistics syncs to port capacity and customs windows.

Why it Matters: Production stabilises; truck rolls become boat rolls only when it pays. Fewer panic charters, fewer risky climbs. Freya calls it “boring wind” – the most profitable kind.

EU‑by‑Design: Safety interlocks mirrored; training proof maintained; environmental constraints logged. Data residency and supplier‑neutral interfaces prevent lock‑in.