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Power Generation & Distribution

Power Generation.
Reduced Downtime.

Reliatic powers the reliability programs behind thermal, nuclear, and renewable energy facilities. We understand turbine integrity, boiler tubes, HRSG fatigue, and critical path scheduling.

Current Deployment Scale
28
Power Plants
99.7%
Uptime Avg
42GW
Capacity Managed

Power Plant Challenges We Solve

Power generation demands absolute reliability. Every unplanned outage costs millions in lost revenue and grid penalties.

Turbine Reliability

The Problem

Gas and steam turbines operate at extreme temperatures and pressures. Blade erosion, rotor stress, and bearing degradation require constant monitoring, but manual tracking across thousands of components is impossible.

How Reliatic Solves It

Our turbine integrity module tracks component lifecycles using actual operating hours, start/stop cycles, and temperature excursions. Trend-based projection models flag components approaching failure thresholds before they impact availability.

Real Result

Combined-cycle plant reduced forced outages by 67% and extended major inspection intervals from 24k to 32k operating hours, saving $4.8M annually.

Boiler Tube Management

The Problem

Boiler tube failures are the leading cause of forced outages in coal and biomass plants. Traditional inspection programs inspect blindly, missing localized failures while over-inspecting low-risk areas.

How Reliatic Solves It

We integrate ultrasonic thickness data with water chemistry logs and operating conditions to project tube failure probability. Risk-based tube inspection targeting reduces outage duration by 40%.

Real Result

450MW coal plant eliminated 3 unplanned outages per year. Tube replacement budget optimized from $2.1M to $1.3M with HIGHER reliability.

HRSG Fatigue & Cycling

The Problem

Heat Recovery Steam Generators weren't designed for daily cycling. Low-cycle fatigue cracks develop in critical welds, headers, and expansion joints—but most operators use calendar-based inspection.

How Reliatic Solves It

Reliatic tracks actual thermal cycles, maps stress concentration points, and calculates cumulative fatigue damage using Miner's Rule. Every start/stop event feeds the risk model during scheduled refresh cycles.

Real Result

Peaking plant caught header crack propagation 6 months early. Emergency repair cost $380k vs. projected $8.5M catastrophic failure + 90-day outage.

Nuclear QA Compliance

The Problem

Nuclear facilities face the most stringent regulatory requirements. Every inspection, repair, and modification must have complete traceability and documented justification. Manual compliance management is resource-intensive and error-prone.

How Reliatic Solves It

Structured compliance tracking with full audit trails. Every asset decision is documented with timestamped justifications, approver sign-offs, and regulatory references. Export-ready packets for NRC inspections.

Real Result

Nuclear facility passed comprehensive NRC inspection with improved audit readiness and documented integrity workflows.

Case Study: 800MW Combined Cycle Plant

How a major power producer cut maintenance costs by $3.2M while improving availability from 94.2% to 98.7%.

Phase 1: Baseline Assessment (Month 1-2)

Initial audit revealed fragmented integrity management across operations, maintenance, and engineering teams.

Turbine components tracked in Excel spreadsheets by 3 different engineers
No integration with plant DCS or vibration monitoring systems
Inspection schedules based on OEM recommendations, not actual operating conditions
Unable to quantify risk or prioritize maintenance spending

Phase 2: Data Integration (Month 3-4)

Connected Reliatic to plant historian, CMMS, and condition monitoring systems.

Imported 15 years of maintenance history and inspection records
Scheduled integration with turbine vibration sensors and bearing temperature monitoring
Built digital twins for both gas turbines and steam turbine
Established component-specific failure models based on OEM data and plant history

Phase 3: Condition-Based Maintenance (Month 5-8)

Transitioned from time-based to condition-based maintenance strategies.

Identified 12 components scheduled for replacement that had 60%+ remaining life
Flagged GT compressor blade set showing early erosion signs (caught 4 months before failure)
Optimized major inspection scope, reducing outage duration from 28 days to 19 days
Engineering time on reliability admin reduced from 60 hrs/week to 12 hrs/week

Phase 4: Annual Results (Month 12)

Full year of operations under proactive reliability program.

Plant availability improved from 94.2% to 98.7%
Reduced unplanned outages compared with the prior year
Maintenance spending reduced by $3.2M through optimized scheduling
Equivalent availability factor (EAF) increased 4.5 percentage points

Annual Impact

$3.2M
Maintenance savings
98.7%
Plant availability
0
Forced outages

Built For Power Generation

Our team includes former power plant reliability engineers who understand turbine metallurgy, thermal cycling, and grid reliability requirements.

Reliatic — Asset Integrity Governance Platform