A unified, OEM-agnostic view across sites and turbine vendors — the view no single OEM portal gives a multi-vendor operator. Built on synthetic data modeled on a 6-site, 3-OEM portfolio (306 MW).
$0
Identified annual value — curtailment optimization + targeted maintenance allocation
Curtailment savings–
Maintenance-driven uplift–
Budget deployed–
01 · Fleet performance rail
PERFORMANCE RATIO — ACTUAL VS. THEORETICAL OUTPUT
Every site normalized to a common metric regardless of OEM power-curve spec — surfacing the two GE sites underperforming their own theoretical output, invisible when each OEM only reports against its own baseline.
VestasGESiemens Gamesa│ white marker = fleet-best target (95%)
02 · Curtailment allocation
400 MWh GRID CURTAILMENT ORDER — SINGLE EVENT
When the grid orders a fixed curtailment volume, price-aware allocation across sites and hours (LP-optimized) beats spreading it pro-rata by capacity — because not every site/hour has equal market value.
Naive (pro-rata) cost–
Optimized allocation cost–
Savings / event–
Annualized (12 events/yr)–
03 · Maintenance budget allocation
$250K BUDGET · KNAPSACK-OPTIMIZED SITE SELECTION
Ranked by return per dollar of O&M spend to close each site's gap toward fleet-best performance — the budget is deployed where it buys the most annual revenue, not spread evenly.