AI in Paper & Packaging
Pulp and paper is one of the most steam-intensive industries: drying cylinders, recovery boilers, digesters and evaporators run continuously and dominate energy cost. Reliability of large rotating equipment and steady steam supply make it a strong fit for predictive maintenance and energy analytics.
Pulp and paper is among the most energy-intensive industries, with the bulk of demand met by steam for drying — making steam-system efficiency the dominant lever. — Source: IEA — Industry
Where AI and efficiency pay off
- Steam and dryer efficiency — Analytics on the drying section — the biggest energy user — to cut steam per tonne of paper.
- Predictive maintenance — Condition monitoring on refiners, fans and pumps where failure stops the machine.
- Heat and condensate recovery — Recovering dryer and evaporator heat to reduce boiler load.
- Energy management — Site-wide steam and power balancing across an integrated mill.
Energy-intensive equipment in paper & packaging
- Steam-heated drying cylinders
- Recovery and power boilers
- Digesters and evaporators
- Large fans, refiners and pumps
- Steam and condensate systems
Guides for paper & packaging
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.
Steam trap management
Failed steam traps quietly waste fuel and damage equipment. How to survey, prioritise and monitor a trap population effectively.
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.
Industrial heat loss and insulation
Why bare hot surfaces are a bigger loss than most plants realise, how to estimate it, and why valves and flanges are the usual culprits.
Software for paper & packaging
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.
Schneider EcoStruxure
IoT platform for energy and plant resource management.
Seeq
Advanced analytics for time-series process data.
IBM Maximo Application Suite
Enterprise asset management with built-in monitoring and AI.