Fleet Portfolio

Multi-Technology, Multi-OEM (Original Equipment Manufacturer) Fleet Coverage

Predictive reliability across 50+ plants spanning 4 generation technologies, 6+ OEM vendors, and approximately 4 GW of installed capacity

50+ Plants
~4 GW Total Capacity
4 Technology Types
6+ OEM Vendors
Technologies

Technology Breakdown

Four generation technologies with technology-specific monitoring and failure mode coverage

Hydro

16 Plants
~1,374 MW Capacity
Multiple Turbine Types
5 OEM Vendors

Wind

18 Plants
~1,000+ MW Capacity
500+ Turbines
5 OEM Vendors

Solar

15 Plants
~100+ MW Capacity
Multiple Inverters
1 Vendor

Thermal (Combined Cycle Gas Turbine / CCGT & Steam)

3 Plants
~1,993 MW Capacity
6 Turbines
2 OEM Vendors
Monitoring

Technology-Specific Failure Modes

Purpose-built detection models for the failure signatures that matter in each generation technology

Thermal

  • Bearing vibration analysis
  • Hot Gas Path (HGP) degradation
  • Heat rate drift
  • Steam turbine blade erosion
  • Condenser fouling

Hydro

  • Cavitation detection
  • Runner erosion
  • Guide bearing wear
  • Wicket gate seal degradation
  • Draft tube vortex

Wind

  • Gearbox failure prediction
  • Main bearing degradation
  • Pitch system faults
  • Power curve deviation
  • Yaw misalignment

Solar

  • Inverter degradation
  • String underperformance
  • Soiling losses
  • Tracker misalignment
  • Clipping analysis
Benchmarking

Fleet Benchmarking

Cross-plant, cross-OEM, and cross-technology Key Performance Indicator (KPI) comparison capabilities

Cross-Fleet Comparison Engine

SWAPP enables continuous benchmarking across every dimension of fleet performance, normalizing for technology, OEM, age, and operating conditions to surface true outliers and optimization opportunities.

  • Peer Benchmarking: Compare plants within the same technology group to identify underperformers and best-in-class assets, using normalized KPIs that account for site conditions and equipment age
  • OEM-Normalized Comparison: Evaluate performance across different OEM equipment on a level playing field, enabling data-driven procurement decisions and warranty negotiations
  • Technology-Specific KPI Baselines: Establish and maintain dynamic performance baselines for each technology type, automatically adjusting for seasonal patterns, grid conditions, and degradation curves

See Predictive Impact in Action

Explore real-world use cases showing how SWAPP detects, classifies, and resolves fleet reliability issues

View Use Cases Explore Modules