AI in Power Generation
Power plants — gas turbine, steam, biomass and combined-cycle — live and die by availability and heat rate. Critical assets like turbines, boilers, HRSGs and feedwater systems justify the most advanced predictive analytics, while every point of heat-rate improvement compounds across the year.
Electricity and heat production is the single largest source of global energy-related CO2 emissions, so even small heat-rate and availability gains carry large absolute impact. — Source: IEA — Electricity
Where AI and efficiency pay off
- Critical-asset early warning — Behavioural models of turbines and boilers that flag drift well before alarm limits trip.
- Heat-rate and performance analytics — Time-series analytics to find and hold efficiency gains across operating regimes.
- Remaining-useful-life estimation — Prioritising maintenance on the assets most likely to fail across large fleets.
- Digital twins — Connected asset models for scenario analysis and operator decision support.
Energy-intensive equipment in power generation
- Gas and steam turbines
- Boilers and heat-recovery steam generators (HRSG)
- Feedwater heaters and condensers
- Pumps, fans and large motors
- Transformers and switchgear
Guides for power generation
How to improve boiler efficiency
The practical levers that move boiler efficiency — combustion, blowdown, feedwater, flue-gas heat and standing losses — and how to find them.
Waste heat recovery in industry
Where industrial waste heat hides, the technologies that capture it, and how to judge whether recovery pays at your site.
Heat exchanger fouling: causes and prevention
Why exchangers foul, what it costs in energy and throughput, and how to predict and manage cleaning instead of reacting to it.
Predictive maintenance: a practical guide
What predictive maintenance is, how it differs from preventive maintenance, which techniques fit which assets, and how to start without boiling the ocean.
Digital twins in industry
A clear-eyed look at industrial digital twins — what the term really means, the levels of fidelity, and where they deliver value versus hype.
Software for power generation
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
Siemens Senseye Predictive Maintenance
Scalable predictive maintenance that learns from existing condition data.
IBM Maximo Application Suite
Enterprise asset management with built-in monitoring and AI.
Cognite Data Fusion
Industrial DataOps and digital-twin foundation.
GE Vernova Proficy
MES, historian and digital-twin tooling for manufacturing.